20 papers:
ICPR-2014-ColonnaCN #approach #distributed- A Distributed Approach for Classifying Anuran Species Based on Their Calls (JGC, MC, EFN), pp. 1242–1247.
- ICPR-2014-HafemannOC #network #recognition #using
- Forest Species Recognition Using Deep Convolutional Neural Networks (LGH, LSO, PRC), pp. 1103–1107.
- ICPR-2014-LiuCVC #classification
- Leaf Species Classification Based on a Botanical Shape Sub-classifier Strategy (HL, DC, LV, GC), pp. 1496–1501.
KDIR-2014-VazquezJ- Handling Missing Data in a Tree Species Catalog Proposed for Reforesting Mexico City (HJV, MJM), pp. 457–464.
MLDM-2013-BrownPD #algorithm #search-based- Dynamic-Radius Species-Conserving Genetic Algorithm for the Financial Forecasting of Dow Jones Index Stocks (MSB, MJP, HD), pp. 27–41.
SAC-2013-CavalinKMO #framework #multi #recognition- A multiple feature vector framework for forest species recognition (PRC, MNK, JM, LESdO), pp. 16–20.
- ICPR-2012-LuHLC #recognition #using
- Insect species recognition using discriminative local soft coding (AL, XH, CLL, XC), pp. 1221–1224.
- ICPR-2010-LariosSSMLD #identification #kernel #random
- Haar Random Forest Features and SVM Spatial Matching Kernel for Stonefly Species Identification (NL, BS, LGS, GMM, JL, TGD), pp. 2624–2627.
- ICPR-2010-PaulaOBS #recognition #using
- Forest Species Recognition Using Color-Based Features (PLdP, LSO, AdSBJ, RS), pp. 4178–4181.
LATA-2009-ScornavaccaBR #approach- From Gene Trees to Species Trees through a Supertree Approach (CS, VB, VR), pp. 702–714.
CHI-2007-WhiteMF #automation #design #identification #mobile #user interface- Designing a mobile user interface for automated species identification (SW, DM, SF), pp. 291–294.
- ICPR-v3-2006-VilchesEVT #data mining #mining #recognition
- Data Mining Applied to Acoustic Bird Species Recognition (EV, IAE, EEV, CET), pp. 400–403.
KDD-2006-CaruanaEMRSFHK #mining #predict- Mining citizen science data to predict orevalence of wild bird species (RC, MFE, AM, MR, DS, DF, WMH, SK), pp. 909–915.
ISSTA-2006-McMinnHBT #approach #generative #testing- The species per path approach to SearchBased test data generation (PM, MH, DB, PT), pp. 13–24.
CIKM-2004-DucksteinB #database- Database support for species extraction from the biosystematics literature: a feasibility demonstration (RD, KB), pp. 515–522.
ICML-2004-PhillipsDS #approach #modelling- A maximum entropy approach to species distribution modeling (SJP, MD, RES).
AdaEurope-2003-BrosgolW #ada #comparison #java #realtime- A Comparison of the Asynchronous Transfer of Control Features in Ada and the Real-Time Speci.cation for Java (BMB, AJW), pp. 113–128.
- ICPR-1998-ImNK #case study #product line
- Recognizing plant species by leaf shapes-a case study of the Acer family (CI, HN, TLK), pp. 1171–1173.
CSEE-1995-Browning- Keynote Address: Endangered Species? The Single-Skilled Information Worker (MFB), pp. 265–276.
KR-1991-Rich #information management #question #reasoning #representation- Implemented Knowledge Representation and Reasoning Systems: An Endangered Species? (CR), pp. 591–592.
