Travelled to:
1 × Spain
2 × China
2 × Italy
2 × Portugal
Collaborated with:
C.Lemnaru I.Barbantan C.V.Bratu M.Dinsoreanu S.Cacoveanu O.L.Hasna F.C.Macicasan A.Vanea A.Sin-Neamtiu M.Veres A.Tudose-Vintila A.Coclici D.A.Suciu V.V.Itu A.C.Cosma
Talks about:
strategi (3) hierarch (3) approach (3) classif (3) system (3) studi (3) learn (3) handwritten (2) recommend (2) framework (2)
Person: Rodica Potolea
DBLP: Potolea:Rodica
Contributed to:
Wrote 14 papers:
- KDIR-2014-BarbantanLP #approach #health #identification #ontology
- Disease Identification in Electronic Health Records — An Ontology based Approach (IB, CL, RP), pp. 261–268.
- KDIR-2014-HasnaMDP #recommendation #sentiment
- Sentiment Polarity Extension for Context-Sensitive Recommender Systems (OLH, FCM, MD, RP), pp. 126–137.
- KDIR-2014-SuciuICDP #learning #word
- Learning Good Opinions from Just Two Words Is Not Bad (DAS, VVI, ACC, MD, RP), pp. 233–241.
- KDIR-2012-DinsoreanuMHP #approach #recommendation
- A Unified Approach for Context-sensitive Recommendations (MD, FCM, OLH, RP), pp. 85–94.
- KDIR-2012-LemnaruSVP #classification #documentation #taxonomy
- A System for Historical Documents Transcription based on Hierarchical Classification and Dictionary Matching (CL, ASN, MAV, RP), pp. 353–357.
- KDIR-2012-LemnaruTCP #case study #classification #detection #hybrid #network #problem
- A Hybrid Solution for Imbalanced Classification Problems — Case Study on Network Intrusion Detection (CL, ATV, AC, RP), pp. 348–352.
- ICEIS-J-2011-LemnaruP #classification #problem
- Imbalanced Classification Problems: Systematic Study, Issues and Best Practices (CL, RP), pp. 35–50.
- ICEIS-v1-2011-PotoleaL #classification #performance
- A Comprehensive Study of the Effect of Class Imbalance on the Performance of Classifiers (RP, CL), pp. 14–21.
- ICEIS-v1-2011-VaneaP #metadata #multi #ontology #semantics #using
- Semantically Enhancing Multimedia Data Warehouses — Using Ontologies as Part of the Metadata (AV, RP), pp. 163–168.
- ICEIS-AIDSS-2010-BarbantanLP #recognition
- A Hierarchical Handwritten Offline Signature Recognition System (IB, CL, RP), pp. 139–147.
- ICEIS-AIDSS-2010-CacoveanuBP #framework #predict
- Evaluating Prediction Strategies in an Enhanced Meta-learning Framework (SC, CVB, RP), pp. 148–156.
- ICEIS-J-2010-PotoleaBL #approach #recognition
- A Hierarchical Approach for the Offline Handwritten Signature Recognition (RP, IB, CL), pp. 264–279.
- ICEIS-J-2010-PotoleaCL #evaluation #framework #predict
- Meta-learning Framework for Prediction Strategy Evaluation (RP, SC, CL), pp. 280–295.
- ICEIS-AIDSS-2009-BratuP #data mining #mining #preprocessor #towards
- Towards a Unified Strategy for the Preprocessing Step in Data Mining (CVB, RP), pp. 230–235.