Stem neural$ (all stems)

463 papers:

CASE-2015-ChengTLCH #algorithm #modelling #network #optimisation

Modeling and optimizing tensile strength and yield point on steel bar by artificial neural network with evolutionary algorithm (CKC, JTT, TTL, JHC, KSH), pp. 1562–1563.

DATE-2015-DengFDWLTINLCW #fault #hardware #network

Retraining-based timing error mitigation for hardware neural networks (JD, YF, ZD, YW, HL, OT, PI, DN, XL, YC, CW), pp. 593–596.

DATE-2015-JiRML #hardware #implementation #logic #network #probability #using

A hardware implementation of a radial basis function neural network using stochastic logic (YJ, FR, CM, DJL), pp. 880–883.

DATE-2015-KaneYHSS #architecture #interface #realtime

A neural machine interface architecture for real-time artificial lower limb control (JK, QY, RH, WS, MS), pp. 633–636.

DATE-2015-PhilippeCBP #algorithm #design #embedded

Exploration and design of embedded systems including neural algorithms (JMP, AC, OB, MP), pp. 986–991.

DATE-2015-TangXLLCWY #network #question

Spiking neural network with RRAM: can we use it for real-world application? (TT, LX, BL, RL, YC, YW, HY), pp. 860–865.

DATE-2015-TuYOLW #architecture #configuration management #hardware #named

RNA: a reconfigurable architecture for hardware neural acceleration (FT, SY, PO, LL, SW), pp. 695–700.

DATE-2015-ZhangWTYX #approximate #framework #named #network

ApproxANN: an approximate computing framework for artificial neural network (QZ, TW, YT, FY, QX), pp. 701–706.

DRR-2015-MiouletBCPB #architecture #multi #network #recognition

Exploring multiple feature combination strategies with a recurrent neural network architecture for off-line handwriting recognition (LM, GB, CC, TP, SB).

HCI-IT-2015-MullerLBSKSW #bibliography #data-driven #network #predict #using

Using Neural Networks for Data-Driven Backchannel Prediction: A Survey on Input Features and Training Techniques (MM, DL, LB, MS, KK, SS, AW), pp. 329–340.

ICEIS-v1-2015-CoelhoC #network

Radial Basis Function Neural Network Receiver for Wireless Channels (PHGC, FMC), pp. 658–663.

ICML-2015-BlundellCKW #network #nondeterminism

Weight Uncertainty in Neural Network (CB, JC, KK, DW), pp. 1613–1622.

ICML-2015-ChenWTWC #network

Compressing Neural Networks with the Hashing Trick (WC, JTW, ST, KQW, YC), pp. 2285–2294.

ICML-2015-ChungGCB #feedback #network

Gated Feedback Recurrent Neural Networks (JC, ÇG, KC, YB), pp. 2067–2075.

ICML-2015-ClarkS #game studies #network

Training Deep Convolutional Neural Networks to Play Go (CC, AJS), pp. 1766–1774.

ICML-2015-GregorDGRW #generative #image #named #network

DRAW: A Recurrent Neural Network For Image Generation (KG, ID, AG, DJR, DW), pp. 1462–1471.

ICML-2015-Hernandez-Lobato15b #learning #network #probability #scalability

Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks (JMHL, RA), pp. 1861–1869.

ICML-2015-HongYKH #learning #network #online

Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network (SH, TY, SK, BH), pp. 597–606.

ICML-2015-MartensG #approximate #network #optimisation

Optimizing Neural Networks with Kronecker-factored Approximate Curvature (JM, RBG), pp. 2408–2417.

ICML-2015-SnoekRSKSSPPA #network #optimisation #scalability #using

Scalable Bayesian Optimization Using Deep Neural Networks (JS, OR, KS, RK, NS, NS, MMAP, P, RPA), pp. 2171–2180.

ICML-2015-TraskGR #modelling #order #scalability #word

Modeling Order in Neural Word Embeddings at Scale (AT, DG, MR), pp. 2266–2275.

ICML-2015-XuBKCCSZB #generative #image #visual notation

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention (KX, JB, RK, KC, ACC, RS, RSZ, YB), pp. 2048–2057.

SIGIR-2015-NovakBZ #image #retrieval #scalability #using

Large-scale Image Retrieval using Neural Net Descriptors (DN, MB, PZ), pp. 1039–1040.

SIGIR-2015-SeverynM #learning #network #rank

Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks (AS, AM), pp. 373–382.

SIGIR-2015-SeverynM15a #analysis #network #sentiment #twitter

Twitter Sentiment Analysis with Deep Convolutional Neural Networks (AS, AM), pp. 959–962.

HPCA-2015-GrigorianFR #approximate #named #reliability

BRAINIAC: Bringing reliable accuracy into neurally-implemented approximate computing (BG, NF, GR), pp. 615–626.

HPCA-2015-MoreauWNSECO #approximate #named #programmable

SNNAP: Approximate computing on programmable SoCs via neural acceleration (TM, MW, JN, AS, HE, LC, MO), pp. 603–614.

CASE-2014-LinHC #gesture #network #recognition #using

Human hand gesture recognition using a convolution neural network (HIL, MHH, WKC), pp. 1038–1043.

DATE-2014-0002LLCXY #big data #data analysis #energy #network #performance

Energy efficient neural networks for big data analytics (YW, BL, RL, YC, NX, HY), pp. 1–2.

DATE-2014-MaliukM #framework #network #prototype

An analog non-volatile neural network platform for prototyping RF BIST solutions (DM, YM), pp. 1–6.

HCI-AIMT-2014-RederMFK #arduino #concept #human-computer #interactive #interface #proving

Neural Interface Emotiv EPOC and Arduino: Brain-Computer Interaction in a Proof of Concept (EER, ARdQM, VRTF, FK), pp. 612–623.

HCI-AIMT-2014-YanikTMMBGW #gesture #learning

A Method for Lifelong Gesture Learning Based on Growing Neural Gas (PMY, AT, JM, JM, JOB, KEG, IDW), pp. 191–202.

HIMI-AS-2014-JiangLLC #identification #network #sequence

Neural Networks for Identifying Civil Pilot’s Operation Sequences (ZJ, QL, YL, BC), pp. 241–252.

ICEIS-v1-2014-TimoteoVF #analysis #case study #dataset #network #project management

Evaluating Artificial Neural Networks and Traditional Approaches for Risk Analysis in Software Project Management — A Case Study with PERIL Dataset (CT, MV, SF), pp. 472–479.

ICEIS-v2-2014-KaramtiTG #image #network #process #retrieval #using

Vectorization of Content-based Image Retrieval Process Using Neural Network (HK, MT, FG), pp. 435–439.

CIKM-2014-VineZKSB #semantics #similarity

Medical Semantic Similarity with a Neural Language Model (LDV, GZ, BK, LS, PB), pp. 1819–1822.

ICML-c1-2014-PinheiroC #network

Recurrent Convolutional Neural Networks for Scene Labeling (PHOP, RC), pp. 82–90.

ICML-c2-2014-AndoniPV0 #learning #network

Learning Polynomials with Neural Networks (AA, RP, GV, LZ), pp. 1908–1916.

ICML-c2-2014-GravesJ #network #recognition #speech #towards

Towards End-To-End Speech Recognition with Recurrent Neural Networks (AG, NJ), pp. 1764–1772.

ICML-c2-2014-KingmaW #performance

Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets (DPK, MW), pp. 1782–1790.

ICML-c2-2014-KirosSZ #modelling #multimodal

Multimodal Neural Language Models (RK, RS, RSZ), pp. 595–603.

ICML-c2-2014-LevineK #learning #network #optimisation #policy

Learning Complex Neural Network Policies with Trajectory Optimization (SL, VK), pp. 829–837.

ICML-c2-2014-MnihG #learning #network

Neural Variational Inference and Learning in Belief Networks (AM, KG), pp. 1791–1799.

ICPR-2014-AlvaroSB #network

Offline Features for Classifying Handwritten Math Symbols with Recurrent Neural Networks (FA, JAS, JMB), pp. 2944–2949.

ICPR-2014-ChenWCN #detection #fault #modelling #network

Confusion Network Based Recurrent Neural Network Language Modeling for Chinese OCR Error Detection (JC, YW, HC, PN), pp. 1266–1271.

ICPR-2014-DongPHLDJ #classification #network #using

Vehicle Type Classification Using Unsupervised Convolutional Neural Network (ZD, MP, YH, TL, YD, YJ), pp. 172–177.

ICPR-2014-DuHZWD #case study #classification #design #network #online #recognition #using

A Study of Designing Compact Classifiers Using Deep Neural Networks for Online Handwritten Chinese Character Recognition (JD, JSH, BZ, SW, LRD), pp. 2950–2955.

ICPR-2014-GoldhammerDBGS #network

Pedestrian’s Trajectory Forecast in Public Traffic with Artificial Neural Networks (MG, KD, UB, AG, BS), pp. 4110–4115.

ICPR-2014-HafemannOC #network #recognition #using

Forest Species Recognition Using Deep Convolutional Neural Networks (LGH, LSO, PRC), pp. 1103–1107.

ICPR-2014-HuangW0T #framework #network

A General Nonlinear Embedding Framework Based on Deep Neural Network (YH, WW, LW, TT), pp. 732–737.

ICPR-2014-IosifidisTP #classification #network

Semi-supervised Classification of Human Actions Based on Neural Networks (AI, AT, IP), pp. 1336–1341.

ICPR-2014-IwahoriFWB #image #network

Neural Network Based Image Modification for Shape from Observed SEM Images (YI, KF, RJW, MKB), pp. 2131–2136.

ICPR-2014-KangKYLD #classification #documentation #image #network

Convolutional Neural Networks for Document Image Classification (LK, JK, PY, YL, DSD), pp. 3168–3172.

ICPR-2014-RosaCJPFT #clustering #network #on the #using

On the Training of Artificial Neural Networks with Radial Basis Function Using Optimum-Path Forest Clustering (GHR, KAPC, LAPJ, JPP, AXF, JMRST), pp. 1472–1477.

ICPR-2014-SunHJC #detection #image #network #robust

Robust Text Detection in Natural Scene Images by Generalized Color-Enhanced Contrasting Extremal Region and Neural Networks (LS, QH, WJ, KC), pp. 2715–2720.

SEKE-2014-WangGZ #network #predict #using

Artificial neural networks for infectious diarrhea prediction using meteorological factors in Shanghai (YW, JG, ZZ), pp. 501–506.

HPCA-2014-WonCGHS #learning #network #online #power management

Up by their bootstraps: Online learning in Artificial Neural Networks for CMP uncore power management (JYW, XC, PG, JH, VS), pp. 308–319.

DATE-2013-HellwegeHPP #analysis #metric #reliability

Reliability analysis for integrated circuit amplifiers used in neural measurement systems (NH, NH, DPD, SP), pp. 713–716.

DATE-2013-KleefMLMTBSM #interface #multi

Cyborg insects, neural interfaces and other things: building interfaces between the synthetic and the multicellular (JVK, TM, PL, RM, RT, TB, HS, MMM), p. 1546.

ICDAR-2013-AlvaroSB #classification #hybrid #network #online

Classification of On-Line Mathematical Symbols with Hybrid Features and Recurrent Neural Networks (FA, JAS, JMB), pp. 1012–1016.

ICDAR-2013-BlucheNK #feature model #network #recognition #word

Feature Extraction with Convolutional Neural Networks for Handwritten Word Recognition (TB, HN, CK), pp. 285–289.

ICDAR-2013-CecottiV13a #multi #recognition

A Radial Neural Convolutional Layer for Multi-oriented Character Recognition (HC, SV), pp. 668–672.

ICDAR-2013-SchambachR #learning #network #sequence

Stabilize Sequence Learning with Recurrent Neural Networks by Forced Alignment (MPS, SFR), pp. 1270–1274.

DHM-HB-2013-BatainehMA #predict

Artificial Neural Network-Based Prediction of Human Posture (MB, TM, KAM), pp. 305–313.

HIMI-D-2013-YanagimotoSY #classification #estimation #network #sentiment #using #word

Word Classification for Sentiment Polarity Estimation Using Neural Network (HY, MS, AY), pp. 669–677.

ICML-c1-2013-KarbasiSS #learning

Iterative Learning and Denoising in Convolutional Neural Associative Memories (AK, AHS, AS), pp. 445–453.

ICML-c3-2013-PascanuMB #network #on the

On the difficulty of training recurrent neural networks (RP, TM, YB), pp. 1310–1318.

ICML-c3-2013-WanZZLF #network #using

Regularization of Neural Networks using DropConnect (LW, MDZ, SZ, YL, RF), pp. 1058–1066.

KDIR-KMIS-2013-Mechmache #documentation #towards

Toward a Neural Aggregated Search Model for Semi-structured Documents (FZBM), pp. 91–95.

SEKE-2013-ShamsHK #estimation #network #using

Software Effort Estimation using Regularized Radial Basis Function Neural Networks (KMS, HSH, AK), pp. 473–478.

SEKE-2013-ThommazoOORWF #detection #network #traceability

Detecting traceability links through neural networks (ADT, TRdO, GO, RR, VW, SF), pp. 36–41.

CASE-2012-CaoZF #approach #mobile #search-based

Point stabilization of mobile robots by genetic sliding mode approach with neural dynamics model on uneven surface (ZC, YZ, YF), pp. 1150–1155.

DAC-2012-SharadAPR #network

Cognitive computing with spin-based neural networks (MS, CA, GP, KR), pp. 1262–1263.

ICML-2012-McAfeeO #code generation #network #static analysis

Utilizing Static Analysis and Code Generation to Accelerate Neural Networks (LCM, KO), p. 192.

ICML-2012-MnihT #algorithm #modelling #performance #probability

A fast and simple algorithm for training neural probabilistic language models (AM, YWT), p. 58.

ICML-2012-YuSL #network #speech #using

Conversational Speech Transcription Using Context-Dependent Deep Neural Networks (DY, FS, GL), p. 1.

ICPR-2012-FrinkenZBBFB #memory management #modelling #network #recognition

Long-short term memory neural networks language modeling for handwriting recognition (VF, FZM, SEB, MJCB, AF, HB), pp. 701–704.

ICPR-2012-JoshiDGBP #analysis #classification

Neural-net classification for spatio-temporal descriptor based depression analysis (JJ, AD, RG, MB, GP), pp. 2634–2638.

ICPR-2012-SankaranJ #network #recognition #using

Recognition of printed Devanagari text using BLSTM Neural Network (NS, CVJ), pp. 322–325.

ICPR-2012-SermanetCL #classification #network

Convolutional neural networks applied to house numbers digit classification (PS, SC, YL), pp. 3288–3291.

ICPR-2012-WangWCN #network #recognition

End-to-end text recognition with convolutional neural networks (TW, DJW, AC, AYN), pp. 3304–3308.

ICPR-2012-WuFH0N #network #recognition

Cascaded heterogeneous convolutional neural networks for handwritten digit recognition (CW, WF, YH, JS, SN), pp. 657–660.

ICPR-2012-XiongCLLSA #image #reduction #segmentation

Segmentation of neural stem cells/neurospheres in unevenly illuminated brightfield images with shading reduction (WX, SCC, JHL, HKL, SS, SA), pp. 1623–1626.

KDIR-2012-CheungZZ #approach #network

A Bayesian Approach for Constructing Ensemble Neural Network (SHC, YZ, ZZ), pp. 374–377.

KDIR-2012-Zamora-MartinezRPT #empirical #network

Some Empirical Evaluations of a Temperature Forecasting Module based on Artificial Neural Networks for a Domotic Home Environment (FZM, PR, JP, DT), pp. 206–211.

MLDM-2012-Thombre #classification #network

Comparing Logistic Regression, Neural Networks, C5.0 and M5′ Classification Techniques (AT), pp. 132–140.

SEKE-2012-LiRPY #fuzzy #modelling #multi #network #optimisation

Multi-Objective Optimization of Fuzzy Neural Networks for Software Modeling (KL, MR, WP, JY), pp. 106–111.

SAC-2012-SouzaPEMOW #navigation #network #using

Vision and GPS-based autonomous vehicle navigation using templates and artificial neural networks (JRS, GP, GBE, CCTM, FSO, DFW), pp. 280–285.

CASE-2011-Ruiz-VelazquezAFQ #modelling

Neural modeling of the blood glucose level for Type 1 Diabetes Mellitus patients (ERV, AYA, RF, GQ), pp. 696–701.

DATE-2011-LopezMBPGE #design #interface #process #programmable

Systematic design of a programmable low-noise CMOS neural interface for cell activity recording (CML, SM, CB, RP, GGEG, WE), pp. 818–823.

ICDAR-2011-CiresanMGS #classification #network

Convolutional Neural Network Committees for Handwritten Character Classification (DCC, UM, LMG, JS), pp. 1135–1139.

ICDAR-2011-HaddadHKA #adaptation #network #online #recognition #using

Improvement of On-line Recognition Systems Using a RBF-Neural Network Based Writer Adaptation Module (LH, TMH, MK, AMA), pp. 284–288.

ICDAR-2011-IndermuhleFFB #documentation #keyword #network #online #using

Keyword Spotting in Online Handwritten Documents Containing Text and Non-text Using BLSTM Neural Networks (EI, VF, AF, HB), pp. 73–77.

ICDAR-2011-JainFJM #documentation #network #retrieval #word

BLSTM Neural Network Based Word Retrieval for Hindi Documents (RJ, VF, CVJ, RM), pp. 83–87.

ICDAR-2011-MeierCGS #recognition

Better Digit Recognition with a Committee of Simple Neural Nets (UM, DCC, LMG, JS), pp. 1250–1254.

ICEIS-v2-2011-LiOAK #fault #identification #modelling #network #using

Patterns Identification for Hitting Adjacent Key Errors Correction using Neural Network Models (JL, KO, MSA, HBK), pp. 5–12.

ICEIS-v2-2011-TarsauliyaTS #network #search-based #using

Financial Time Series Forecast using Simulated Annealing and Threshold Acceptance Genetic BPA Neural Network (AT, RT, AS), pp. 172–177.

ICEIS-v3-2011-HuangZYZC

Neural Network-based Procurement Mode Selection of MRO Materials (ZH, YZ, HY, YZ, LC), pp. 523–526.

ICML-2011-MartensS #learning #network #optimisation

Learning Recurrent Neural Networks with Hessian-Free Optimization (JM, IS), pp. 1033–1040.

ICML-2011-SocherLNM #natural language #network #parsing #recursion

Parsing Natural Scenes and Natural Language with Recursive Neural Networks (RS, CCYL, AYN, CDM), pp. 129–136.

ICML-2011-SutskeverMH #generative #network

Generating Text with Recurrent Neural Networks (IS, JM, GEH), pp. 1017–1024.

DRR-2010-CheikhKB #approach #recognition #word

A neural-linguistic approach for the recognition of a wide Arabic word lexicon (IBC, AK, AB), pp. 1–10.

LATA-2010-CabessaV #classification #first-order #network

A Hierarchical Classification of First-Order Recurrent Neural Networks (JC, AEPV), pp. 142–153.

LATA-2010-Neary #bound

A Boundary between Universality and Non-universality in Extended Spiking Neural P Systems (TN), pp. 475–487.

ICEIS-AIDSS-2010-AdamLDB #clustering #parallel #performance #using

Performance Gain for Clustering with Growing Neural Gas using Parallelization Methods (AA, SL, SD, WB), pp. 264–269.

ICEIS-AIDSS-2010-SilvaCRN #assessment #fault #identification #network

Assessment of the Change in the Number of Neurons in Hidden Layers of Neural Networks for Fault Identification in Electrical Systems (DTdS, PHGC, JAPR, LBN), pp. 309–313.

ICML-2010-JiXYY #3d #network #recognition

3D Convolutional Neural Networks for Human Action Recognition (SJ, WX, MY, KY), pp. 495–502.

ICPR-2010-AzarM #automation #image #network #sequence #using

Automated Tracking of the Carotid Artery in Ultrasound Image Sequences Using a Self Organizing Neural Network (JCA, HHM), pp. 2544–2547.

ICPR-2010-DengSS #detection #network #pattern matching #pattern recognition #recognition

Applying Error-Correcting Output Coding to Enhance Convolutional Neural Network for Target Detection and Pattern Recognition (HD, GS, CYS), pp. 4291–4294.

ICPR-2010-FausserS #approximate #learning

Learning a Strategy with Neural Approximated Temporal-Difference Methods in English Draughts (SF, FS), pp. 2925–2928.

ICPR-2010-KimKP #algorithm #generative #simulation

A Simulation Study on the Generative Neural Ensemble Decoding Algorithms (SPK, MKK, GTP), pp. 3797–3800.

ICPR-2010-SeyedhosseiniPT #classification #image #network #parsing

Image Parsing with a Three-State Series Neural Network Classifier (MS, ARCP, TT), pp. 4508–4511.

ICPR-2010-SilvaLSBKT #classification #documentation

Enhancing the Filtering-Out of the Back-to-Front Interference in Color Documents with a Neural Classifier (GdFPeS, RDL, JMS, SB, AK, MT), pp. 2415–2419.

ICPR-2010-VajdaF #network #performance

Exploring Pattern Selection Strategies for Fast Neural Network Training (SV, GAF), pp. 2913–2916.

KDIR-2010-MautnerM #categorisation #comparison #documentation #network

Comparison of Neural Networks used for Processing and Categorization of Czech Written Documents (PM, RM), pp. 510–513.

KDIR-2010-ParviainenRML #approximate #infinity #learning #network

Interpreting Extreme Learning Machine as an Approximation to an Infinite Neural Network (EP, JR, YM, AL), pp. 65–73.

KEOD-2010-ChatterjeeB #documentation #network #random #summary #using

Single Document Text Summarization using Random Indexing and Neural Networks (NC, AB), pp. 171–176.

KMIS-2010-ZyglarskiB #keyword #markov #natural language #network

Keywords Extraction — Selecting Keywords in Natural Language Texts with Markov Chains and Neural Networks (BZ, PB), pp. 315–321.

CAV-2010-PulinaT #abstraction #approach #network #verification

An Abstraction-Refinement Approach to Verification of Artificial Neural Networks (LP, AT), pp. 243–257.

DAC-2009-HuangOSC #programmable

Programmable neural processing on a smartdust (SH, JO, YS, ACC), pp. 619–620.

ICDAR-2009-DengSS #network #recognition

Error-Correcting Output Coding for the Convolutional Neural Network for Optical Character Recognition (HD, GS, CYS), pp. 581–585.

ICDAR-2009-EmmanouilidisBP #classification #development #evaluation #locality

Development and Evaluation of Text Localization Techniques Based on Structural Texture Features and Neural Classifiers (CE, CB, NP), pp. 1270–1274.

ICDAR-2009-FrinkenB #learning #network #recognition #word

Evaluating Retraining Rules for Semi-Supervised Learning in Neural Network Based Cursive Word Recognition (VF, HB), pp. 31–35.

ICEIS-AIDSS-2009-KhashmanD #image #network #using

Optimum DCT Compression of Medical Images using Neural Networks (AK, KD), pp. 90–95.

ICEIS-AIDSS-2009-KuoWHH #clustering #network #optimisation #order #using

An Order Clustering System using ART2 Neural Network and Particle Swarm Optimization Methodn (RJK, MJW, TWH, TLH), pp. 54–59.

ICEIS-AIDSS-2009-ZanchettinL #design #hybrid #network #optimisation

Hybrid Optimization Technique for Artificial Neural Networks Design (CZ, TBL), pp. 242–247.

ICEIS-J-2009-MohebiS #ambiguity #analysis #clustering #detection #hybrid #network #using

An Optimized Hybrid Kohonen Neural Network for Ambiguity Detection in Cluster Analysis Using Simulated Annealing (EM, MNMS), pp. 389–401.

ICEIS-J-2009-NachevHS #fuzzy #network #predict #using

Insolvency Prediction of Irish Companies Using Backpropagation and Fuzzy ARTMAP Neural Networks (AN, SH, BS), pp. 287–298.

ICEIS-J-2009-Sun #network #using

Stereo Matching Using Synchronous Hopfield Neural Network (THS), pp. 336–347.

ICML-2009-LiuPZ #coordination #multi #semantics

Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery (HL, MP, JZ), pp. 649–656.

KMIS-2009-ZyglarskiB #documentation #keyword #network

Scientific Documents Management System — Application of Kohonens Neural Networks with Reinforcement in Keywords Extraction (BZ, PB), pp. 55–62.

MLDM-2009-DereliogluGO #analysis #approach

A Neural Approach for SME’s Credit Risk Analysis in Turkey (GD, FSG, NO), pp. 749–759.

CASE-2008-AsarUAH #generative #network

Traffic responsive signal timing plan generation based on neural network (AuA, MSU, JA, RuH), pp. 833–838.

CASE-2008-HanX #identification #multi #network #using

Nonlinear systems identification using dynamic multi-time scales neural networks (XH, WFX), pp. 448–453.

CASE-2008-LiYB #multi #network

Neural network based path planning for a multi-robot system with moving obstacles (HL, SXY, YB), pp. 163–168.

CASE-2008-PonnambalamPMS #network #using

Modified ART1 neural networks for cell formation using production data (SGP, RSP, SSM, SS), pp. 603–608.

DATE-2008-FarahaniFS #architecture #network #scalability #using

Scalable Architecture for on-Chip Neural Network Training using Swarm Intelligence (AFF, SMF, SS), pp. 1340–1345.

ICEIS-AIDSS-2008-Nachev #network #using

Forecasting with ARTMAP-IC Neural Networks — An Application Using Corporate Bankruptcy Data (AN), pp. 167–172.

ICEIS-J-2008-PapatheocharousA08a #algorithm #approach #hybrid #modelling #network #predict #search-based #using

Hybrid Computational Models for Software Cost Prediction: An Approach Using Artificial Neural Networks and Genetic Algorithms (EP, ASA), pp. 87–100.

ICML-2008-CollobertW #architecture #learning #multi #natural language #network

A unified architecture for natural language processing: deep neural networks with multitask learning (RC, JW), pp. 160–167.

ICPR-2008-KiranyazTYG #design #multi #network #optimisation

Unsupervised design of Artificial Neural Networks via multi-dimensional Particle Swarm Optimization (SK, TI, EAY, MG), pp. 1–4.

ICPR-2008-OkadaH #incremental #network #recognition #self

Motion recognition based on Dynamic-Time Warping method with Self-Organizing Incremental Neural Network (SO, OH), pp. 1–4.

ICPR-2008-SchenkR #online #recognition

Neural net vector quantizers for discrete HMM-based on-line handwritten whiteboard-note recognition (JS, GR), pp. 1–4.

ICPR-2008-SuzukiSZ #network

Supervised enhancement of lung nodules by use of a massive-training artificial neural network (MTANN) in computer-aided diagnosis (CAD) (KS, ZS, JZ), pp. 1–4.

ICPR-2008-TranTJ #anti #linear #network #probability

An adjustable combination of linear regression and modified probabilistic neural network for anti-spam filtering (TPT, PT, TJ), pp. 1–4.

SEKE-2008-XuSW #adaptation #fault #network #predict

An Adaptive Neural Network with Dynamic Structure for Software Defect Prediction (ZX, NS, WW), pp. 79–84.

SAC-2008-CastroS #image #multi #network

Restoring images with a multiscale neural network based technique (APAdC, JDSdS), pp. 1693–1697.

SAC-2008-CorreaLSM #composition #learning #network

Neural network based systems for computer-aided musical composition: supervised x unsupervised learning (DCC, ALML, JHS, JFM), pp. 1738–1742.

SAC-2008-MariSPZL #3d #algorithm #re-engineering

Improving the neural meshes algorithm for 3D surface reconstruction with edge swap operations (JFM, JHS, GP, MRZ, ALML), pp. 1236–1240.

SAC-2008-ShiguemoriVS #approach #network #retrieval

Atmospheric temperature retrieval from satellite data: new non-extensive artificial neural network approach (EHS, HFdCV, JDSdS), pp. 1688–1692.

FSE-2008-KulturTB #estimation #memory management #named #network #using

ENNA: software effort estimation using ensemble of neural networks with associative memory (YK, BT, ABB), pp. 330–338.

ICDAR-2007-CheikhK #network #recognition

Neural Network for the Recognition of Handwritten Tunisian City Names (IBC, AK), pp. 1108–1112.

ICDAR-2007-NguyenBML #classification #using #verification

Off-line Signature Verification Using Enhanced Modified Direction Features in Conjunction with Neural Classifiers and Support Vector Machines (VN, MB, VM, GL), pp. 734–738.

CIAA-2007-Paun #transducer

Spiking Neural P Systems Used as Acceptors and Transducers (GP), pp. 1–4.

LATA-2007-Komendantskaya #deduction #first-order #network

First-order deduction in neural networks (EK), pp. 307–318.

HCI-MIE-2007-DerakhshiK #bound #fuzzy #network #predict #sequence #using #word

Using Recurrent Fuzzy Neural Networks for Predicting Word Boundaries in a Phoneme Sequence in Persian Language (MRFD, MRK), pp. 50–59.

HCI-MIE-2007-KimSK #network #using

Emotion-Based Textile Indexing Using Neural Networks (NYK, YS, EYK), pp. 349–357.

SIGAda-2007-CarlisleB #ada #c #network

Timing neural networks in C and ada (MCC, LCBI), pp. 71–74.

ICEIS-AIDSS-2007-CuellarDP #algorithm #hybrid #network #problem

Problems and Features of Evolutionary Algorithms to Build Hybrid Training Methods for Recurrent Neural Networks (MPC, MD, MdCPJ), pp. 204–211.

ICEIS-AIDSS-2007-SkaruzSB #approach #detection #network #sql

Recurrent Neural Networks Approach to The Detection of SQL Attacks (JS, FS, PB), pp. 191–197.

ICEIS-DISI-2007-PapatheocharousA #estimation #network #using

Software cost estimation using artificial neural networks with inputs selection (EP, ASA), pp. 398–407.

SEKE-2007-AlencarWSF #deployment #game studies #information management #question

Do Neural-Network Question-Answering Systems Have a Role to Play in the Deployment of Real World Information Systems? (AJA, RCW, EAS, ALF), pp. 386–391.

SEKE-2007-AmouiST #network #predict #using

Temporal Software Change Prediction Using Neural Networks (MA, MS, LT), pp. 380–385.

SEKE-2007-WongZQCD #effectiveness #fault #locality #network #using

Effective Fault Localization using BP Neural Networks (WEW, LZ, YQ, KYC, JD), pp. 374–379.

SAC-2007-AlbertiniM #detection #network #self

A self-organizing neural network for detecting novelties (MKA, RFdM), pp. 462–466.

CASE-2006-ZhouYZJDP #design #fault #network

Design of Dynamic Systems Based on Dynamic Fault Trees and Neural Networks (ZZ, ZY, JZ, GJ, DD, ZP), pp. 124–128.

DLT-2006-Paun

Languages in Membrane Computing: Some Details for Spiking Neural P Systems (GP), pp. 20–35.

EDOC-2006-Hashemzadeh #navigation #network #performance

A Fast and Efficient Route Finding Method for Car Navigation Systems with Neural Networks (MH), pp. 423–426.

ICEIS-AIDSS-2006-ThuD #predict #risk management #using

Predicting Cardiovascular Risks — Using POSSUM, PPOSSUM and Neural Net Techniques (TNTT, DND), pp. 230–234.

ICEIS-DISI-2006-CoelhoN #network

Neural Networks and Business Applications: Business Intelligence (PHGC, LBN), pp. 39–40.

ICML-2006-GravesFGS #classification #network #sequence

Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks (AG, SF, FJG, JS), pp. 369–376.

ICPR-v2-2006-GonzalezSRP #image #network #retrieval

Wavelet transforms and neural networks applied to image retrieval (ACG, JHSA, EMFR, OBP), pp. 909–912.

ICPR-v2-2006-NandedkarB #classification #fuzzy #network

A Reflex Fuzzy Min Max Neural Network for Granular Data Classification (AVN, PKB), pp. 650–653.

ICPR-v3-2006-BianchiniMS #locality #network #recursion #using

Object Localization Using Input/Output Recursive Neural Networks (MB, MM, LS), pp. 95–98.

ICPR-v3-2006-ChenHWJF #detection #network

The Application of a Convolution Neural Network on Face and License Plate Detection (YNC, CCH, CTW, BSJ, KCF), pp. 552–555.

ICPR-v3-2006-NieuwenhuisY #image #knowledge base #network #using

Knowledge Based Image Enhancement Using Neural Networks (CN, MY), pp. 814–817.

ICPR-v3-2006-Xu #approach #artificial reality #gesture #network #recognition

A Neural Network Approach for Hand Gesture Recognition in Virtual Reality Driving Training System of SPG (DX), pp. 519–522.

ICPR-v4-2006-TiviveB #classification #gender #network

A Shunting Inhibitory Convolutional Neural Network for Gender Classification (FHCT, AB), pp. 421–424.

ICPR-v4-2006-ZhangMH #feature model #multi #network

Multiscale Feature Extraction of Finger-Vein Patterns Based on Curvelets and Local Interconnection Structure Neural Network (ZZ, SM, XH), pp. 145–148.

CASE-2005-AbdelhameedD #debugging #logic #network #programmable #source code

Diagnosis and debugging of programmable logic controller control programs by neural networks (MMA, HD), pp. 313–318.

CASE-2005-ChangLJ #detection #fault #network #using

Using a two-layer competitive Hopfield neural network for semiconductor wafer defect detection (CYC, SYL, MJ), pp. 301–306.

DRR-2005-NamaneAGSMB #network #recognition

Sequential neural network combination for degraded machine-printed character recognition (AN, MA, AG, EHS, PM, MB), pp. 101–110.

ICDAR-2005-CecottiB #adaptation #network #recognition

Rejection strategy for Convolutional Neural Network by adaptive topology applied to handwritten digits recognition (HC, AB), pp. 765–769.

ICDAR-2005-ChengB #heuristic #segmentation #using #word

The Neural-based Segmentation of Cursive Words using Enhanced Heuristics (CKC, MB), pp. 650–654.

ICDAR-2005-HadjarI #logic #using

Logical Labeling of Arabic Newspapers using Artificial Neural Nets (KH, RI), pp. 426–431.

ICDAR-2005-HamzaBS

Neural Based Binarization Techniques (HH, AB, ES), pp. 317–321.

ICDAR-2005-ZhuN #network #online #recognition #segmentation

Segmentation of On-line Handwritten Japanese Text of Arbitrary Line Direction by a Neural Network for Improving Text Recognition (BZ, MN), pp. 157–161.

ICEIS-v2-2005-CuellarDJ #network #predict #problem #programming

An Application of Non-Linear Programming to Train Recurrent Neural Networks in Time Series Prediction Problems (MPC, MD, MdCPJ), pp. 35–42.

ICEIS-v2-2005-HuangK #network #online #recognition

A Recurrent Neural Network Recogniser for Online Recognition of Handwritten Symbols (BQH, MTK), pp. 27–34.

ICEIS-v2-2005-KianmehrZNOA #approach #data mining #mining #network

Combining Neural Network and Support Vector Machine into Integrated Approach for Biodata Mining (KK, HZ, KN, TÖ, RA), pp. 182–187.

MLDM-2005-BahiS #recognition

Neural Expert Model Applied to Phonemes Recognition (HB, MS), pp. 507–515.

MLDM-2005-CaoHXW #algorithm #network #recognition

Iris Recognition Algorithm Based on Point Covering of High-Dimensional Space and Neural Network (WC, JH, GX, SW), pp. 305–313.

MLDM-2005-GhoshGYB #algorithm #analysis #comparative #network #search-based

Comparative Analysis of Genetic Algorithm, Simulated Annealing and Cutting Angle Method for Artificial Neural Networks (RG, MG, JY, AMB), pp. 62–70.

MLDM-2005-GhoshGYB05a #learning #parametricity

Determining Regularization Parameters for Derivative Free Neural Learning (RG, MG, JY, AMB), pp. 71–79.

SAC-2005-OcaGA #algorithm #classification #clustering #network

An hybridization of an ant-based clustering algorithm with growing neural gas networks for classification tasks (MAMdO, LG, JLA), pp. 9–13.

DATE-DF-2004-FerrerGFAC #implementation #logic #named #network #programmable

NeuroFPGA — Implementing Artificial Neural Networks on Programmable Logic Devices (DF, RG, RF, JPA, RC), pp. 218–223.

DATE-DF-2004-LettninBBGR #case study #design #embedded #network #synthesis

Synthesis of Embedded SystemC Design: A Case Study of Digital Neural Networks (DL, AGB, MB, JG, WR), pp. 248–255.

ICEIS-v2-2004-AnavattiYP #experience #network

An Experience with the Neural Network for Auto-Landing System of an Aircraft (SGA, CJY, FP), pp. 393–400.

ICEIS-v2-2004-CamargoFPS #network #tool support

Neural Network and Time Series as Tools for Sales Forecasting (MC, WPF, MP, AS), pp. 476–478.

ICEIS-v2-2004-CuellarFJN #adaptation #network #predict

An Adaptable Time-Delay Neural Network to Predict the Spanish Economic Indebtedness (MPC, WF, MdCPJ, RPP, MAN), pp. 457–460.

ICEIS-v2-2004-CuellarNJP #algorithm #case study #comparative #network #predict

A Comparative Study of Evolutionary Algorithms for Training Elman Recurrent Neural Networks to Predict Autonomous Indebtedness (MPC, AN, MdCPJ, RPP), pp. 461–464.

ICEIS-v2-2004-Grzeszczyk #network

Application of Neural Networks for Prior Appraisal of Structural Funds Project Proposals (TAG), pp. 501–504.

ICEIS-v2-2004-Kabiri #approximate #comparison #learning #network

A Comparison Between the Proportional Keen Approximator and the Neural Networks Learning Methods (PK), pp. 159–164.

ICEIS-v2-2004-MoutinhoTNC #approach #detection #network #using

Face Pattern Detection — an Approach Using Neural Networks (AMM, ACGT, LBN, PHGC), pp. 172–177.

ICEIS-v2-2004-NetoCVMM #estimation #network #using

Monthly Flow Estimation Using Elman Neural Networks (LBN, PHGC, MLFV, JCCBSdM, LAM), pp. 153–158.

ICEIS-v2-2004-SalemSA #clustering #documentation #network

Unsupervised Artificial Neural Networks for Clustering of Document Collections (ABMS, MMS, AFA), pp. 383–392.

ICEIS-v2-2004-SilvaCSGN #multi #network #using

Multiple Organ Failure Diagnosis Using Adverse Events and Neural Networks (ÁMS, PC, MFS, LG, JN), pp. 401–408.

ICEIS-v2-2004-ZaratePSSVD #clustering #network #optimisation #representation #set

Optimization of Neural Network’s Training Sets via Clustering: Application in Solar Collector Representation (LEZ, EMDP, DAS, JPDS, RV, ASCD), pp. 147–152.

ECIR-2004-HungWS #bottom-up #clustering #predict #top-down

Predictive Top-Down Knowledge Improves Neural Exploratory Bottom-Up Clustering (CH, SW, PS), pp. 154–166.

ICPR-v1-2004-AzzabouL #image

Neural Network-Based Proper Names Extraction in Fax Images (NA, LLS), pp. 421–424.

ICPR-v3-2004-AdeodatoVASCM #case study #comparative #network #scalability #set

Neural Networks vs Logistic Regression: a Comparative Study on a Large Data Set (PJLA, GCV, ALA, RAFS, RCLVC, DSMPM), pp. 355–358.

ICPR-v3-2004-IwahoriWKF #artificial reality #modelling #network

Neural Network Based Modeling and Color Rendering for Mixed Reality (YI, RJW, HK, KF), pp. 198–201.

ICPR-v4-2004-ChenC04a #bidirectional #dependence #learning #network

Improvement of Bidirectional Recurrent Neural Network for Learning Long-Term Dependencies (JC, NSC), pp. 593–596.

ICPR-v4-2004-DebiollesOA #network

Combined Use of Partial Least Squares Regression and Neural Network for Diagnosis Tasks (AD, LO, PA), pp. 573–576.

ICPR-v4-2004-KuzmenkoZ #network #self

Structure Relaxation Method for Self-Organizing Neural Networks (AK, NZ), pp. 589–592.

ICPR-v4-2004-LaiY #algorithm #fault #network #predict

Successive-Least-Squares Error Algorithm on Minimum Description Length Neural Networks for Time Series Prediction (YNL, SYY), pp. 609–612.

ICPR-v4-2004-MacDormanCA #component #generative #network #segmentation

Periodic Nonlinear Principal Component Neural Networks for Humanoid Motion Segmentation, Generalization, and Generation (KFM, RC, MA), pp. 537–540.

ICPR-v4-2004-MizukamiWT #approximate #architecture #network

A Proposal of Neural Network Architecture for Non-Linear Function Approximation (YM, YW, KT), pp. 605–608.

ICPR-v4-2004-NandedkarB #architecture #classification #fuzzy #network

A Fuzzy Min-Max Neural Network Classifier with Compensatory Neuron Architecture (AVN, PKB), pp. 553–556.

ICPR-v4-2004-OuMF #classification #multi #network #using

Multiclass Pattern Classification Using Neural Networks (GO, YLM, LAF), pp. 585–588.

ICPR-v4-2004-QinandS #algorithm #analysis #clustering #kernel

Kernel Neural Gas Algorithms with Application to Cluster Analysis (AKQ, PNS), pp. 617–620.

SAC-2004-JiangWM #network #thread

Protein threading with residue-environment matching by artificial neural networks (NJ, WXW, IM), pp. 209–210.

DATE-2003-DoboliGD #clustering #modelling #network #using

Extraction of Piecewise-Linear Analog Circuit Models from Trained Neural Networks Using Hidden Neuron Clustering (SD, GG, AD), pp. 11098–11099.

ICDAR-2003-AndersenZ #documentation #identification

Features for Neural Net Based Region Identification of Newspaper Documents (TLA, WZ), pp. 403–407.

ICDAR-2003-ChoisyB #markov #network #recognition #word

Coupling of a local vision by Markov field and a global vision by Neural Network for the recognition of handwritten words (CC, AB), pp. 849–853.

ICDAR-2003-ShimizuOWK #image #learning #network

Mirror Image Learning for Autoassociative Neural Networks (SS, WO, TW, FK), pp. 804–808.

ICDAR-2003-SimardSP #analysis #documentation #network #visual notation

Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis (PYS, DS, JCP), pp. 958–962.

ICDAR-2003-VermaG #approach #architecture #online #recognition

A Neural-Evolutionary Approach for Feature and Architecture Selection in Online Handwriting Recognition (BV, MG), pp. 1038–1042.

ICDAR-2003-YouK #approach #network #segmentation #string #using

An approach for locating segmentation points of handwritten digit strings using a neural network (DY, GK), p. 142–?.

ICSM-2003-QuahT #metric #network #object-oriented #predict #quality #using

Application of Neural Networks for Software Quality Prediction Using Object-Oriented Metrics (TSQ, MMTT), p. 116–?.

ICEIS-v2-2003-Abdel-WahaabBHH #3d #invariant #network #recognition #using

Three-Dimensional Object Recognition Using Support Vector Machine Neural Network Based on Moment Invariant Features (MSAW, SFB, ASH, DMH), pp. 583–588.

ICEIS-v2-2003-BelgacemCR #detection #network

Detection of Cardiac Arrhythmias By Neural Networks (NB, MAC, FBR), pp. 414–417.

ICEIS-v2-2003-IsikK #network #problem

Partially Connected Neural Networks for Mapping Problems (CI, SK), pp. 469–473.

ICEIS-v2-2003-KeeniGS #learning #network #on the #performance #using

On Fast Learning of Neural Networks Using Back Propagation (KK, KG, HS), pp. 266–271.

ICEIS-v2-2003-KoskivaaraB #network

An Artificial Neural Network Based Decision Support System for Budgeting (EK, BB), pp. 108–114.

ICEIS-v2-2003-NastacM #network #performance

An Efficient Procedure for Artificial Neural Networks Retraining (DIN, RM), pp. 324–329.

ICEIS-v2-2003-NetoCMG #analysis #network #simulation #using

Simulating Data Envelopment Analysis Using Neural Networks (LBN, PHGC, JCCBSdM, EGG), pp. 244–249.

ICEIS-v2-2003-OuazzaneZME #database #monitoring #network #performance #process

The Use of Neural Network and Database Technology to Reengineer the Technical Process of Monitoring Coal Combustion Efficiency (KO, KZ, FM, KE), pp. 495–498.

ICEIS-v2-2003-SolvangDS #flexibility #fuzzy #logic #network

Applying Fuzzy Logic and Neural Network for Quantifying Flexibility of Supply Chains (WDS, ZD, BS), pp. 557–561.

ICML-2003-BrownW #ambiguity #composition #learning #network

The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods (GB, JLW), pp. 67–74.

MLDM-2003-Barsi #graph #self #using

Neural Self-Organization Using Graphs (AB), pp. 343–352.

SEKE-2003-ThwinQ #maintenance #metric #network #object-oriented #using

Application of Neural Networks for Estimating Software Maintainability Using Object-Oriented Metrics (MMTT, TSQ), pp. 69–73.

SIGIR-2003-TsaiMT #classification #hybrid #image #network #using

Image classification using hybrid neural networks (CFT, KM, JT), pp. 431–432.

SAC-2003-ZhuHY #network #using #web

Recognizing the Relations between Web Pages Using Artificial Neural Network (XZ, SH, YY), pp. 1217–1221.

ICEIS-2002-BaiL #network #recognition

Neural Networks and Wavelets for Face Recognition (LB, YL), pp. 334–340.

ICEIS-2002-CarvalhoDCDNA #database #network

Medical Data Base Exploration through Artificial Neural Networks (LFdC, CASD, HJTdC, DD, SMN, FMdA), pp. 455–459.

ICEIS-2002-HillbrandK #approach #metamodelling #network #using

Using Artificial Neural Networks to Prove Hypothetic Cause-And-Effect Relations: A Metamodel-Based Approach to Support Strategic Decisions (CH, DK), pp. 367–373.

ICEIS-2002-KieltykaK #energy #network #predict

The Application of Artificial Neural Networks for Heat Energy Use Prediction (LK, RK), pp. 526–529.

ICEIS-2002-Vellido #analysis #e-commerce #network

Neural Networks for B2C E-Commerce Analysis: Some Elements of Best Practice (AV), pp. 439–445.

ICPR-v1-2002-ClaudeWPB #classification #image #network

Contour Features for Colposcopic Image Classification by Artificial Neural Networks (IC, RW, PP, JCB), pp. 771–774.

ICPR-v1-2002-FrimanBLTK #approach #network

Recognizing Emphysema- A Neural Network Approach (OF, MB, ML, UT, HK), pp. 512–515.

ICPR-v1-2002-LohRW #3d #modelling #process #using

Refining 3D Models Using a Two-Stage Neural Network-Based Iterative Process (AWKL, MR, GAWW), pp. 172–175.

ICPR-v2-2002-CardotL #graph #network #pattern matching #pattern recognition #recognition

Graph of Neural Networks for Pattern Recognition (HC, OL), pp. 873–876.

ICPR-v2-2002-Fasel #analysis #network #robust #using

Robust Face Analysis using Convolutional Neural Networks (BF), pp. 40–43.

ICPR-v2-2002-ForestiCS #adaptation #higher-order #pattern matching #pattern recognition #recognition

Adaptive High Order Neural Trees for Pattern Recognition (GLF, CM, LS), p. 877–?.

ICPR-v2-2002-GarciaD #architecture #detection #performance #robust

A Neural Architecture for Fast and Robust Face Detection (CG, MD), pp. 44–47.

ICPR-v2-2002-GrimPS #network #probability

Boosting in Probabilistic Neural Networks (JG, PP, PS), pp. 136–139.

ICPR-v2-2002-HuangSK #detection #network #using

Face Detection Using a Modified Radial Basis Function Neural Network (LLH, AS, HK), pp. 342–345.

ICPR-v2-2002-LiWZ #algorithm #network

Step Acceleration Based Training Algorithm for Feedforward Neural Networks (YL, KW, DZ), pp. 84–87.

ICPR-v2-2002-MurpheyL #classification #feature model #multi #network

Feature Extraction for a Multiple Pattern Classification Neural Network System (YLM, YL), pp. 220–223.

ICPR-v2-2002-TohM #approach #learning #network

A Global Transformation Approach to RBF Neural Network Learning (KAT, KZM), pp. 96–99.

ICPR-v3-2002-BarraezGDPR #composition #network

Modular Neural Networks for Seismic Tomography (DB, SGS, BD, MP, ER), pp. 407–410.

ICPR-v3-2002-ChartierL #image #learning #network

Learning and Extracting Edges from Images by a Modified Hopfield Neural Network (SC, RL), pp. 431–434.

ICPR-v3-2002-KuritaTI #classification #image #network

A Neural Network Classifier for Occluded Images (TK, TT, YI), pp. 45–48.

ICPR-v3-2002-SilvestreL #bound #classification #optimisation

Optimization of Neural Classifiers Based on Bayesian Decision Boundaries and Idle Neurons Pruning (MRS, LLL), pp. 387–390.

ICPR-v3-2002-WongLC #multi #network #recognition #using

Handwritten Digit Recognition Using Multi-Layer Feedforward Neural Networks with Periodic and Monotonic Activation Functions (KWW, CSL, SJC), pp. 106–109.

ICPR-v4-2002-IwahoriWWI #implementation #network #self

Self-Calibration and Neural Network Implementation of Photometric Stereo (YI, YW, RJW, AI), pp. 359–362.

ICPR-v4-2002-KoB02a #feedback #image #multi #network #probability #retrieval

Probabilistic Neural Networks Supporting Multi-Class Relevance Feedback in Region-Based Image Retrieval (BK, HB), pp. 138–141.

KDD-2002-Boz #network

Extracting decision trees from trained neural networks (OB), pp. 456–461.

KDD-2002-LiangK #mining #network

Mining heterogeneous gene expression data with time lagged recurrent neural networks (YL, AK), pp. 415–421.

HPDC-2002-WeeksHA #distributed #information retrieval #scalability

Scalability of a Distributed Neural Information Retrieval System (MW, VJH, JA), p. 423.

ICLP-2002-MedinaCO #approach #logic programming #multi

Multi-adjoint Logic Programming: A Neural Net Approach (JM, EMC, MOA), p. 468.

ICDAR-2001-LejtmanG #network #online #using #verification

On-line Handwritten Signature Verification Using Wavelets and Back-propagation Neural Networks (DZL, SEG), pp. 992–996.

ITiCSE-2001-Fone #concept #network #spreadsheet #using

Using a familiar package to demonstrate a difficult concept: using an excel spreadsheet model to explain the concepts of neural networks to undergraduates (WF), pp. 165–168.

MLDM-2001-LinderP #how #learning

How to Automate Neural Net Based Learning (RL, SJP), pp. 206–216.

MLDM-2001-WachowiakSME #modelling #parametricity #statistics

Statistical and Neural Approaches for Estimating Parameters of a Speckle Model Based on the Nakagami Distribution (MPW, RS, MGM, ASE), pp. 196–205.

SAC-2001-LeeGA #learning #multi

A multi-neural-network learning for lot sizing and sequencing on a flow-shop (IL, JNDG, ADA), pp. 36–40.

SAC-2001-SerearunoH #comparison #multi #network

A comparison in training time of the single and multiple-output MLP neural networks (MS, TH), pp. 32–35.

SAC-2001-XiangFY #approach #behaviour #component #fuzzy #network #prototype

A fuzzy neural network approach to model component behavior for virtual prototyping of hydraulic system (WX, SCF, FFY), pp. 482–483.

ICEIS-2000-KalininNSP #network #process

Usage of Instrument of Neural Networks in Control of Complex Chemical-Technological Processes (AK, LN, ES, SP), pp. 521–524.

ICEIS-2000-WatkinsC #network

Decoding BCM Codes With a New Competitive Neural Network (FJW, RAC), pp. 227–234.

ICML-2000-AndersonDP #behaviour #composition #network #student

Behavioral Cloning of Student Pilots with Modular Neural Networks (CWA, BAD, DAP), pp. 25–32.

ICML-2000-ChoiY #database #learning

Learning to Select Text Databases with Neural Nets (YSC, SIY), pp. 135–142.

ICML-2000-TellerV #evolution #learning #performance #programming

Efficient Learning Through Evolution: Neural Programming and Internal Reinforcement (AT, MMV), pp. 959–966.

ICPR-v1-2000-HeidemannLR #classification #network #visual notation

A System for Various Visual Classification Tasks Based on Neural Networks (GH, DL, HJR), pp. 1009–1012.

ICPR-v2-2000-AizenbergABF #image #multi #network #recognition

Image Recognition on the Neural Network Based on Multi-Valued Neurons (INA, NNA, CB, EF), pp. 2989–2992.

ICPR-v2-2000-BaesensVVD #feature model #network #optimisation

Wrapped Feature Selection by Means of Guided Neural Network Optimization (BB, SV, JV, GD), pp. 2113–2116.

ICPR-v2-2000-ChenZN #network

Blind Separation Based on an Evolutionary Neural Network (YWC, XYZ, ZN), pp. 2973–2976.

ICPR-v2-2000-FyfeL #analysis #canonical #correlation #network

Canonical Correlation Analysis Neural Networks (CF, PLL), pp. 2977–2980.

ICPR-v2-2000-GiacconeTJ #network #segmentation

Foreground-Background Segmentation by Cellular Neural Networks (PRG, DT, GAJ), pp. 2438–2441.

ICPR-v2-2000-JainJV #experience #network #using

Short-Term Water Demand Forecasting Using Artificial Neural Networks: IIT Kanpur Experience (AJ, UCJ, AKV), pp. 2459–2462.

ICPR-v2-2000-KimPL #design #network

A New Methodology to the Design of Associative Memories Based on Cellular Neural Networks (HYK, JP, SWL), pp. 2965–2968.

ICPR-v2-2000-KoprinskaK #evolution #fuzzy #network #recognition

Evolving Fuzzy Neural Network for Camera Operations Recognition (IK, NKK), pp. 2523–2526.

ICPR-v2-2000-LaiCF #canonical #correlation #using

Power Load Forecasting Using Neural Canonical Correlates (PLL, SJC, CF), pp. 2455–2458.

ICPR-v2-2000-LiG #detection #network #optimisation

Combining Feature Optimization into Neural Network Based Face Detection (SZL, QG), pp. 2814–2817.

ICPR-v2-2000-LohRW #incremental #learning #named #network

IFOSART: A Noise Resistant Neural Network Capable of Incremental Learning (AWKL, MCR, GAWW), pp. 2985–2988.

ICPR-v2-2000-MesserK #algorithm #design #network #performance

Fast Unit Selection Algorithm for Neural Network Design (KM, JK), pp. 2981–2984.

ICPR-v2-2000-PodolakLBM #hybrid

A Hybrid Neural System for Phonematic Transformation (ITP, SWL, AB, EM), pp. 2957–2960.

ICPR-v2-2000-Ruiz-PinalesL #network #recognition #using

Cursive Handwriting Recognition Using the Hough Transform and a Neural Network (JRP, EL), pp. 2231–2234.

ICPR-v2-2000-SopenaA #named #network #parsing

ANNP: A Neural Network Parser for Real World Texts (JMS, MAA), pp. 2969–2972.

ICPR-v2-2000-TerrillonMSSA #detection #invariant #orthogonal

Invariant Neural-Network Based Face Detection with Orthogonal Fourier-Mellin Moments (JCT, DM, MS, YS, SA), p. 2993–?.

ICPR-v2-2000-Theera-UmponG #fault #network

Training Neural Networks to Count White Blood Cells via a Minimum Counting Error Objective Function (NTU, PDG), pp. 2299–2302.

ICPR-v2-2000-UgenaAA #independence #network #recognition #speech

Speaker-Independent Speech Recognition by Means of Functional-Link Neural Networks (AU, FdA, MEA), pp. 6018–6021.

ICPR-v2-2000-VillelaA #network #recognition #using

Object Recognition by Indexing Using Neural Networks (PRV, JHSA), pp. 6001–6004.

ICPR-v2-2000-WuZZ #classification #network #recognition

A Neural Network Based Classifier for Handwritten Chinese Character Recognition (MW, BZ, LZ), pp. 2561–2564.

ICPR-v3-2000-MilanovaCC #estimation #network

Cellular Neural Networks for Motion Estimation (MGM, ACC, MVC), pp. 3827–3830.

ICPR-v3-2000-Papamarkos #network #reduction #using

Using Local Features in a Neural Network Based Gray-Level Reduction Technique (NP), pp. 7037–7040.

ICPR-v3-2000-Ruiz-del-SolarK #architecture #segmentation

Neural-Based Architectures for the Segmentation of Textures (JRdS, DK), pp. 7092–7095.

ICPR-v4-2000-BareaBMLB #network #using

E.O.G. Guidance of a Wheelchair Using Neural Networks (RB, LB, MM, ELG, LMB), pp. 4668–4671.

ICPR-v4-2000-Egmont-PetersenFNHBVR #image #multi #network #segmentation #using

Segmentation of Bone Tumor in MR Perfusion Images Using Neural Networks and Multiscale Pharmacokinetic Features (MEP, AFF, WJN, PCWH, JLB, MAV, JHCR), pp. 4080–4083.

KDD-2000-WangMSW #biology #case study #classification #data mining #mining #network #sequence

Application of neural networks to biological data mining: a case study in protein sequence classification (JTLW, QM, DS, CHW), pp. 305–309.

SIGIR-2000-ManevitzY #classification #documentation #network #using

Document classification on neural networks using only positive examples (LMM, MY), pp. 304–306.

SAC-2000-WuL #clustering #fuzzy #named #network

F3MCNN: A Fuzzy Minimum Mean Maximum Clustering Neural Network (LGW, HL), pp. 10–14.

ICDAR-1999-BlumensteinV #benchmark #database #metric #recognition #segmentation #word

Neural-based Solutions for the Segmentation and Recognition of Difficult Handwritten Words from a Benchmark Database (MB, BV), pp. 281–284.

ICDAR-1999-ChoiO #network #recognition #using

A Segmentation-free Recognition of Two Touching Numerals using Neural Network (SMC, ISO), pp. 253–256.

ICDAR-1999-HanmandluKM #recognition

Neural based Handwritten Character Recognition (MH, HK, KRMM), pp. 241–244.

ICDAR-1999-LiuN #network #recognition #using

Handwritten Numeral Recognition using Neural Networks: Improving the Accuracy by Discriminative Training (CLL, MN), pp. 257–260.

ICDAR-1999-PalmeroD #documentation #using

Structured Document Labeling and Rule Extraction using a New Recurrent Fuzzy-neural System (GISP, YAD), pp. 181–184.

ICDAR-1999-RibertLE #classification #design #distributed #performance #recognition

Designing Efficient Distributed Neural Classifiers: Application to Handwritten Digit Recognition (AR, YL, AE), pp. 265–268.

ICDAR-1999-StockerRL #classification #network #problem #self

Self-organized Classification Problem Solving with Yprel Neural Networks (ES, AR, YL), pp. 390–393.

ICDAR-1999-VelosoC #recognition

Neural versus Syntactic Recognition of Handwritten Numerals (LRV, JMdC), pp. 233–236.

ICDAR-1999-WuS #classification #distance #multi #network #recognition #using

Unconstrained Handwritten Numeral Recognition using Hausdorff Distance and Multi-Layer Neural Network Classifier (XW, PS), pp. 249–252.

ICEIS-1999-LinyingSD #image #network #segmentation

Neural Networks for X-Ray Image Segmentation (SL, BS, DND), pp. 264–271.

KDD-1999-Potts #network

Generalized Additive Neural Networks (WJEP), pp. 194–200.

MLDM-1999-ImiyaK #network

A Dynamics of the Hough Transform and Artifical Neural Networks (AI, KK), pp. 36–50.

MLDM-1999-JacobsenZP #comparison #network

A Comparison between Neural Networks and Decision Trees (CJ, UZ, PP), pp. 144–158.

MLDM-1999-MilanovaAOS #network #problem

Applications of Celluar Neural Networks for Shape from Shading Problem (MGM, PEMA, JOJ, MGS), pp. 51–63.

MLDM-1999-ReczkoKMGO #estimation #image #network

Neural Networks in MR Image Estimation from Sparsely Sampled Scans (MR, DAK, VM, DGD, DvO), pp. 75–86.

SIGIR-1999-RuizS #categorisation #network

Hierarchical Neural Networks for Text Categorization (poster abstract) (MER, PS), pp. 281–282.

SAC-1999-JonesK #algorithm #network #search-based

The Use of Genetic Algorithms and Neural Networks to Investigate the Baldwin Effect (MJ, AHK), pp. 275–279.

DATE-1998-EpplerFGM #energy #network #physics

High Speed Neural Network Chip for Trigger Purposes in High Energy Physics (WE, TF, HG, AM), pp. 108–115.

VLDB-1998-LakshmiZ #approach #database #estimation #network

Selectivity Estimation in Extensible Databases — A Neural Network Approach (MSL, SZ), pp. 623–627.

CIKM-1998-Chen #comparison #information retrieval #pattern matching #pattern recognition #recognition

A Comparison of Regression, Neural Net, and Pattern Recognition Approaches to IR (AC), pp. 140–147.

ICML-1998-Street #network #predict

A Neural Network Model for Prognostic Prediction (WNS), pp. 540–546.

ICPR-1998-Aladjem #classification #ml #network #recursion #reduction

Training of a ML neural network for classification via recursive reduction of the class separation (MA), pp. 450–452.

ICPR-1998-BreukelenD #classification #network

Neural network initialization by combined classifiers (MvB, RPWD), pp. 215–218.

ICPR-1998-HanKKL #network #probability #segmentation

Temporal segmentation and selective attention in the stochastic oscillator neural network (SKH, WSK, HK, SWL), pp. 259–261.

ICPR-1998-KeeniNS #automation #classification #estimation #generative #network #using

Automatic generation of initial weights and estimation of hidden units for pattern classification using neural networks (KK, KN, HS), pp. 1568–1571.

ICPR-1998-KimuraIWTM #network #recognition #using

Handwritten numeral recognition using autoassociative neural networks (FK, SI, TW, ST, YM), pp. 166–171.

ICPR-1998-KnerrA #hybrid #markov #recognition #word

A neural network-hidden Markov model hybrid for cursive word recognition (SK, EA), pp. 1518–1520.

ICPR-1998-LimC #database #generative #multi #network

Neural network based feature space generation for multiple databases of handwritten numerals (KTL, SIC), pp. 375–377.

ICPR-1998-MaioM98a #network

Neural network based minutiae filtering in fingerprints (DM, DM), pp. 1654–1658.

ICPR-1998-OrnesDS #network #visual notation

A visual neural network that learns perceptual relationships (CO, AD, JS), pp. 873–875.

ICPR-1998-ZhangFY98a #verification

Handwritten signature verification based on neural “gas” based vector quantization (BZ, MF, HY), pp. 1862–1864.

SAC-1998-DAntonaC #approach #documentation #named

ANATEMA: a neural approach to extended markup of SGML documents (OMD, MWLC), pp. 297–302.

SAC-1998-HashemiTTSP #approach #development #network

The development of profiles for children with attention deficit disorder and monkeys: a neural network approach (RRH, MST, AAT, WS, MGP), pp. 55–59.

ICDAR-1997-AminM #network #recognition #using

Recognition of Printed Arabic Text Using Neural Networks (AA, WM), pp. 612–615.

ICDAR-1997-CesariniFGMSS #architecture #recognition

A Neural-Based Architecture for Spot-Noisy Logo Recognition (FC, EF, MG, SM, JS, GS), pp. 175–179.

ICDAR-1997-EigenmannN #evaluation #multi #network

Modification of Hard-Limiting Multilayer Neural Networks for Confidence Evaluation (RE, JAN), pp. 1087–1091.

ICDAR-1997-KeeniSN #distributed #network #on the #representation #using

On Distributed Representation of Output Layer for Recognizing Japanese Kana characters Using Neural Networks (KK, HS, KN), pp. 600–603.

ICDAR-1997-NgC #image #network

Artificial Neural Network for Discrete Cosine Transform and Image Compression (KSN, LMC), pp. 675–678.

ICML-1997-Opitz #approach #component #effectiveness #network

The Effective Size of a Neural Network: A Principal Component Approach (DWO), pp. 263–271.

SAC-1997-LewisSZ #network #performance #retrieval #scalability

Scaling of neural network inferencing by efficient storage and retrieval of outputs (BL, AS, JZ), pp. 10–14.

ITiCSE-1996-JacksonM #algorithm #animation #network

Algorithm animation of neural networks (DJ, IGM), pp. 39–41.

ITiCSE-1996-KhuriW #named #network

Neuralis: an artificial neural network package (SK, JW), pp. 25–27.

CIKM-1996-SyuLD #information retrieval #network #semantics

Incorporating Latent Semantic Indexing into a Neural Network Model for Information Retrieval (IS, SDL, ND), pp. 145–153.

ICPR-1996-Bayro-CorrochanoBS #algebra #geometry #network #self #using

A new self-organizing neural network using geometric algebra (EBC, SB, GS), pp. 555–559.

ICPR-1996-BukerH #3d #knowledge-based #recognition

Knowledge-based view control of a neural 3-D object recognition system (UB, GH), pp. 24–29.

ICPR-1996-ChenJ #behaviour #network #on the

On the small sample behavior of the class-sensitive neural network (CHC, AJ), pp. 209–213.

ICPR-1996-Cho #network #recognition #self

Recognition of unconstrained handwritten numerals by doubly self-organizing neural network (SBC), pp. 426–430.

ICPR-1996-DayP #generative #network #using

The generation of motion kinematics using a time-delay neural network (MJSD, JSP), pp. 545–549.

ICPR-1996-DoeringW #classification #composition #cost analysis #network #set

Feedforward neural networks for Bayes-optimal classification: investigations into the influence of the composition of the training set on the cost function (AD, HW), pp. 219–223.

ICPR-1996-Garcia-SalicettiDGW #adaptation #online #predict #recognition #word

Adaptive discrimination in an HMM-based neural predictive system for on-line word recognition (SGS, BD, PG, ZW), pp. 515–519.

ICPR-1996-Grim #design #network

Maximum-likelihood design of layered neural networks (JG), pp. 85–89.

ICPR-1996-HamamotoMIHT #anti #evaluation #network

Evaluation of an anti-regularization technique in neural networks (YH, YM, HI, TH, ST), pp. 205–208.

ICPR-1996-HeidemannR #3d #architecture #recognition #using

A neural 3-D object recognition architecture using optimized Gabor filters (GH, HJR), pp. 70–74.

ICPR-1996-HolmstromKLO #classification #network #statistics

Neural network and statistical perspectives of classification (LH, PK, JL, EO), pp. 286–290.

ICPR-1996-HwangB #classification #network #performance #recognition

An efficient method to construct a radial basis function neural network classifier and its application to unconstrained handwritten digit recognition (YSH, SYB), pp. 640–644.

ICPR-1996-LaumyDL #approach #comparison #optimisation

Segments matching: comparison between a neural approach and a classical optimization way (ML, MD, JTL), pp. 261–265.

ICPR-1996-LernerGADR #classification #feature model #network

Feature extraction by neural network nonlinear mapping for pattern classification (BL, HG, MA, ID, YR), pp. 320–324.

ICPR-1996-LilienblumAM #3d #geometry #network

3D-measurement of geometrical shapes by photogrammetry and neural networks (TL, PA, BM), pp. 330–334.

ICPR-1996-MichaelisSSM #adaptation #network #using

Adaptive filtering of distorted displacement vector fields using artificial neural networks (BM, OS, US, RM), pp. 335–339.

ICPR-1996-MollerGW #clustering #network #performance

Fast vector quantizer on neural clustering networks providing globally optimal cluster solutions (UM, MG, HW), pp. 351–355.

ICPR-1996-PetrouS #fuzzy #network #on the #reasoning

On the relationship between neural networks and fuzzy reasoning (MP, KRS), pp. 239–243.

ICPR-1996-RitterS #network

An introduction to morphological neural networks (GXR, PS), pp. 709–717.

ICPR-1996-RoliSB #classification #image #multi #network

Classification of multisensor remote-sensing images by multiple structured neural networks (FR, SBS, LB), pp. 180–184.

ICPR-1996-SammondaNN #convergence #image #network #segmentation

Hopfield neural network with prespecified time convergence for the segmentation of brain MR images (RS, NN, HN), pp. 462–471.

ICPR-1996-SanchizQP #algorithm #detection

A neural network-based algorithm to detect dominant points from the chain-code of a contour (JMS, JMIQ, FP), pp. 325–329.

ICPR-1996-SongKL #architecture #network #pattern matching #pattern recognition #recognition

A new recurrent neural network architecture for pattern recognition (HHS, SMK, SWL), pp. 718–722.

ICPR-1996-StockerSVSK #image #network

Stability study of some neural networks applied to tissue characterization of brain magnetic resonance images (ADS, OS, AV, OS, TK), pp. 472–476.

ICPR-1996-Stoyanov #learning #network

An improved backpropagation neural network learning (IPS), pp. 586–588.

ICPR-1996-SziranyiC #network #segmentation

Picture segmentation with introducing an anisotropic preliminary step to an MRF model with cellular neural networks (TS, LC), pp. 366–370.

ICPR-1996-UtschickN #adaptation #network

Bayesian adaptation of hidden layers in Boolean feedforward neural networks (WU, JAN), pp. 229–233.

ICPR-1996-VriesengaS #classification #linear #modelling

Neural modeling of piecewise linear classifiers (MV, JS), pp. 281–285.

ICPR-1996-WangZJ #multi #network #recognition

Multiple experts recognition system based on neural network (SW, XZ, YJ), pp. 452–456.

KDD-1996-CiesielskiP #bibliography #database #hybrid #mining #using

Using a Hybrid Neural/Expert System for Data Base Mining in Market Survey Data (VC, GP), pp. 38–43.

KDD-1996-Lange #approach #empirical #predict #recursion #using

An Empirical Test of the Weighted Effect Approach to Generalized Prediction Using Recursive Neural Nets (RL), pp. 183–188.

SAC-1996-Cripps #performance #predict #using

Using artificial neural nets to predict academic performance (AC), pp. 33–37.

SAC-1996-Fritzke #automation #fuzzy #logic #network

Automatic construction of radial basis function networks with the growing neural gas model and its relevance for fuzzy logic (BF), pp. 624–627.

SAC-1996-HashemiSHT #network

A neural network for speedy trials (RRH, TMS, WGH, JRT), pp. 468–472.

SAC-1996-KulkarniM #clustering #fuzzy #modelling #network

Fuzzy neural network models for clustering (ADK, VKM), pp. 523–528.

ICDAR-v1-1995-DodelS #recognition

Symbolic/neural recognition of cursive amounts on bank cheques (JPD, RS), pp. 15–18.

ICDAR-v1-1995-Garcia-SalicettiDGMF #markov #online #predict #recognition

A hidden Markov model extension of a neural predictive system for on-line character recognition (SGS, BD, PG, AM, DF), pp. 50–53.

ICDAR-v1-1995-KimD #classification #distance #network #recognition #using

Off-line Recognition of Korean Scripts Using Distance Matching and Neural Network Classifiers (SHK, JID), pp. 34–37.

ICDAR-v1-1995-LeeK #multi #network #recognition #self #using

Multi-lingual, multi-font and multi-size large-set character recognition using self-organizing neural network (SWL, JSK), pp. 28–33.

ICDAR-v1-1995-LeeK95b #network #recognition

A new type of recurrent neural network for handwritten character recognition (SWL, YJK), pp. 38–41.

ICDAR-v1-1995-LeeL #network #recognition #segmentation

Integrated segmentation and recognition of connected handwritten characters with recurrent neural network (SWL, EJL), pp. 413–416.

ICDAR-v1-1995-LeeS #approach #classification #formal method #network

A theory of classifier combination: the neural network approach (DSL, SNS), pp. 42–45.

ICDAR-v1-1995-LeTW #analysis #documentation #image #using

Document image analysis using integrated image and neural processing (DXL, GRT, HW), pp. 327–330.

ICDAR-v1-1995-SuWLX #network

Hierarchical neural network for recognizing hand-written characters in engineering drawings (HS, WW, XL, SX), pp. 46–49.

ICDAR-v1-1995-UtschickNKSN #classification #evaluation #feature model #network

The evaluation of feature extraction criteria applied to neural network classifiers (WU, PN, CK, AS, JAN), pp. 315–318.

ICDAR-v2-1995-DrouhardSG #case study #classification #comparative #nearest neighbour #network #using #verification

Comparative study of the k nearest neighbour, threshold and neural network classifiers for handwritten signature verification using an enhanced directional PDF (JPD, RS, MG), pp. 807–810.

ICDAR-v2-1995-Lee #verification

Neural approaches for human signature verification (LLL), pp. 1055–1058.

ICDAR-v2-1995-LeeK95c #clustering #multi #network #recognition

Multiresolution recognition of handwritten numerals with wavelet transform and multilayer cluster neural network (SWL, YJK), pp. 1010–1013.

ICDAR-v2-1995-MiyaoN #approach #music #network #using

Head and stem extraction from printed music scores using a neural network approach (HM, YN), pp. 1074–1079.

STOC-1995-KarpinskiM #bound #network #polynomial

Polynomial bounds for VC dimension of sigmoidal neural networks (MK, AM), pp. 200–208.

DLT-1995-SimaW

Neural Language Acceptors (JS, JW), pp. 430–439.

ICALP-1995-CosnardC #network

A Characterization of the Existence of Energies for Neural Networks (MC, EGC), pp. 570–580.

ICML-1995-BlackmoreM #grid #incremental #network #visualisation

Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network (JB, RM), pp. 55–63.

ICML-1995-CrawH #network #refinement

Protein Folding: Symbolic Refinement Competes with Neural Networks (SC, PH), pp. 133–141.

KDD-1995-CiampiL #approach #data analysis #design #modelling #network #statistics

Designing Neural Networks from Statistical Models: A New Approach to Data Exploration (AC, YL), pp. 45–50.

SAC-1995-Bothe #fuzzy #modelling #speech #visual notation

Fuzzy input coding for an artificial neural--network modelling visual speech movements (HHB), pp. 450–454.

SAC-1995-HalgamugeGG #fuzzy #network #problem #prototype

A sub Bayesian nearest prototype neural network with fuzzy interpretability for diagnosis problems (SKH, CG, MG), pp. 445–449.

SAC-1995-HashemiTV #monitoring #network #quality

A neural network as a quality control monitor of an intelligent system (RRH, JRT, MV), pp. 263–266.

SAC-1995-KumblaJB #algorithm #fuzzy #implementation #logic #network #using

Implementation of fuzzy logic and neural networks control algorithm using a digital signal processing chip (KKK, MJ, JBR), pp. 524–528.

RTA-1995-Paccanaro #network #reduction

Guiding Term Reduction Through a Neural Network: Some Prelimanary Results for the Group Theory (AP), pp. 444–449.

EDAC-1994-Saucier #design #network #recognition

Design of a Digital Neural Chip: Application to Optical Character Recognition by Neural Network (DJ, GS), pp. 256–260.

VLDB-1994-LiC #database #integration #network #semantics #semistructured data #using

Semantic Integration in Heterogeneous Databases Using Neural Networks (WSL, CC), pp. 1–12.

ICALP-1994-Siegelmann #network #on the #power of #probability

On The Computational Power of Probabilistic and Faulty Neural Networks (HTS), pp. 23–34.

ICML-1994-CravenS #network #query #using

Using Sampling and Queries to Extract Rules from Trained Neural Networks (MC, JWS), pp. 37–45.

ICML-1994-OpitzS #knowledge-based #network #search-based #using

Using Genetic Search to Refine Knowledge-based Neural Networks (DWO, JWS), pp. 208–216.

ICML-1994-TchoumatchenkoG #framework #learning

A Baysian Framework to Integrate Symbolic and Neural Learning (IT, JGG), pp. 302–308.

SAC-1994-HalgamugeG #fuzzy #industrial

Fuzzy neural fusion techniques for industrial applications (SKH, MG), pp. 136–141.

SAC-1994-MahoneyLW #exponential #network

Construction of an artificial neural network for simple exponential smoothing in forecasting (DWM, RPL, SIW), pp. 308–312.

SAC-1994-Tschichold-Gurman #classification #fuzzy #network

Fuzzy RuleNet: an artificial neural network model for fuzzy classification (NNTG), pp. 145–149.

ICDAR-1993-AminW #network #recognition #using

Hand-printed character recognition system using artificial neural networks (AA, WHW), pp. 943–946.

ICDAR-1993-AraiAN #interactive #network #recognition #using

Intelligent interactive map recognition using neural networks (HA, SA, MN), pp. 922–925.

ICDAR-1993-Fukushima #network #recognition

Connected character recognition with a neural network (KF), pp. 240–243.

ICDAR-1993-ImadeTW #classification #documentation #image #network #segmentation #using

Segmentation and classification for mixed text/image documents using neural network (SI, ST, TW), pp. 930–934.

ICDAR-1993-MiyaharaY #multi #network #recognition

Printed Japanese character recognition based on multiple modified LVQ neural network (KM, FY), pp. 250–253.

ICDAR-1993-RaafatR #network

A tree structured neural network (HMR, MR), pp. 939–941.

ICDAR-1993-Yamada #feedback #network #pattern matching #pattern recognition #recognition

Feedback pattern recognition by inverse recall neural network model (KY), pp. 254–257.

STOC-1993-Maass #bound #complexity #learning

Bounds for the computational power and learning complexity of analog neural nets (WM), pp. 335–344.

STOC-1993-MacintyreS #network

Finiteness results for sigmoidal “neural” networks (AM, EDS), pp. 325–334.

HCI-SHI-1993-UenoO #design #network

A Design Guideline Search Method that Uses a Neural Network (KU, KO), pp. 27–32.

ICML-1993-CravenS #learning #network #using

Learning Symbolic Rules Using Artificial Neural Networks (MC, JWS), pp. 73–80.

ICML-1993-MitchellT #comparison #learning #network

Explanation Based Learning: A Comparison of Symbolic and Neural Network Approaches (TMM, ST), pp. 197–204.

ICML-1993-Schwalb #compilation #network

Compiling Bayesian Networks into Neural Networks (ES), pp. 291–297.

SEKE-1993-BoetticherSE #approach #metric

A Neural Net-Based Approach to Software Metrics (GDB, KS, DE), pp. 271–274.

SIGIR-1993-WongCY #network

Computation of Term Associations by a Neural Network (SKMW, YJC, YY), pp. 107–115.

SAC-1993-BrendelB #3d #network #re-engineering

3-Dimensional Reconstruction by Silhouettes to Construct Training Patterns for Neural Networks (TB, JB), pp. 770–774.

SAC-1993-HashemiCST #monte carlo #network #paradigm #predict

Prediction Capability of Neural Networks Trained by Monte-Carlo Paradigm (RRH, AHC, NLS, JRT), pp. 9–13.

SAC-1993-VeezhinathanKT #bound #branch #hybrid

A Hybrid of Neural Net and Branch and Bound Techniques for Seismic Horizon Tracking (JV, FK, JT), pp. 173–178.

SAC-1993-WangJ #network #segmentation

Segmentation of Merged Characters by Neural Networks and Shortest-Path (JW, JSNJ), pp. 762–769.

HPDC-1993-FletcherO #distributed #learning #network #parallel

Parallel and Distributed Systems for Constructive Neural Network Learning (JF, ZO), pp. 174–178.

KBSE-1992-PartridgeS #network #re-engineering

Neural Networks as a Software Engineering Technology (DP, NS), p. 35.

HT-ECHT-1992-LeluF #approach #hypermedia #information retrieval #paradigm

Hypertext Paradigm in the Field of Information Retrieval: A Neural Approach (AL, CF), pp. 112–121.

ML-1992-OmlinG #higher-order #network #using

Training Second-Order Recurrent Neural Networks using Hints (CWO, CLG), pp. 361–366.

CHI-1991-MurakamiT #gesture #network #recognition #using

Gesture recognition using recurrent neural networks (KM, HT), pp. 237–242.

AdaEurope-1991-CurtisS #ada #modelling #using

Modelling the Temporal Summation of Neural Membranes Using the Ada Language (MCC, VJDS), pp. 2–19.

KR-1991-BalkeniusG #network

Nonmonotonic Inferences in Neural Networks (CB, PG), pp. 32–39.

ML-1991-KowalczykFG #higher-order #network

Discovering Production Rules with Higher Order Neural Networks (AK, HLF, KG), pp. 158–162.

ML-1991-TowellCS #induction #knowledge-based #network

Constructive Induction in Knowledge-Based Neural Networks (GGT, MC, JWS), pp. 213–217.

ML-1991-Yeung #approach #induction #network

A Neural Network Approach to Constructive Induction (DYY), pp. 228–232.

SIGIR-1991-WilkinsonH #documentation #network #using

Using the Cosine Measure in a Neural Network for Document (RW, PH), pp. 202–210.

ECHT-1990-BiennierGP #network

Browsing in Hyperdocuments with the Assistance of a Neural Network (FB, MG, JMP), pp. 288–297.

DAC-1989-Libeskind-HadasL #network #problem

Solutions to the Module Orientation and Rotation Problems by Neural Computation Networks (RLH, CLL), pp. 400–405.

DAC-1989-YihM #clustering #design #network

A Neural Network Design for Circuit Partitioning (JSY, PM), pp. 406–411.

DAC-1989-Yu #case study

A Study of the Applicability of Hopfield Decision Neural Nets to VLSI CAD (MLY), pp. 412–417.

ML-1989-Katz #learning #network

Integrating Learning in a Neural Network (BFK), pp. 69–71.

ML-1989-ShavlikT #learning #network

Combining Explanation-Based Learning and Artificial Neural Networks (JWS, GGT), pp. 90–93.

SIGIR-1989-Kwok #information retrieval #network #probability

A Neural Network for Probabilistic Information Retrieval (KLK), pp. 21–30.

OOPSLA-1989-AdamsN

Neural Agents — A Frame of Mind (SSA, AKN), pp. 139–149.