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Stan Matwin - Publications

Affiliations: 
University of Ottawa, Ottawa, ON, Canada 
Area:
Computer Science
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50 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Varlamis I, Kontopoulos I, Tserpes K, Etemad M, Soares A, Matwin S. Building navigation networks from multi-vessel trajectory data Geoinformatica. 1-29. DOI: 10.1007/S10707-020-00421-Y  0.358
2020 Etemad M, Soares A, Etemad E, Rose J, Torgo L, Matwin S. SWS: an unsupervised trajectory segmentation algorithm based on change detection with interpolation kernels Geoinformatica. 1-21. DOI: 10.1007/S10707-020-00408-9  0.307
2019 Pesaranghader A, Matwin S, Sokolova M, Pesaranghader A. deepBioWSD: effective deep neural word sense disambiguation of biomedical text data. Journal of the American Medical Informatics Association : Jamia. PMID 30811548 DOI: 10.1093/Jamia/Ocy189  0.372
2019 Thomas M, Martin B, Kowarski K, Gaudet B, Matwin S. Interpreting the latent representations of a convolutional neural network trained on spectrograms The Journal of the Acoustical Society of America. 146: 2958-2959. DOI: 10.1121/1.5137277  0.332
2018 Lopes CC, Cesário-Times V, Matwin S, Ciferri CDdA, Ciferri RR. An Encryption Methodology for Enabling the Use of Data Warehouses on the Cloud International Journal of Data Warehousing and Mining. 14: 38-66. DOI: 10.4018/Ijdwm.2018100103  0.32
2018 Bigdeli E, Mohammadi M, Raahemi B, Matwin S. Incremental anomaly detection using two-layer cluster-based structure Information Sciences. 429: 315-331. DOI: 10.1016/J.Ins.2017.11.023  0.308
2017 Soares Junior A, Renso C, Matwin S. ANALYTiC: An Active Learning System for Trajectory Classification. Ieee Computer Graphics and Applications. 37: 28-39. PMID 28945577 DOI: 10.1109/Mcg.2017.3621221  0.41
2016 de Souza EN, Boerder K, Matwin S, Worm B. Correction: Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning. Plos One. 11: e0163760. PMID 27657928 DOI: 10.1371/Journal.Pone.0163760  0.302
2016 de Souza EN, Boerder K, Matwin S, Worm B. Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning. Plos One. 11: e0158248. PMID 27367425 DOI: 10.1371/Journal.Pone.0158248  0.333
2015 Pesaranghader A, Matwin S, Sokolova M, Beiko RG. simDEF: definition-based semantic similarity measure of gene ontology terms for functional similarity analysis of genes. Bioinformatics (Oxford, England). PMID 26708333 DOI: 10.1093/Bioinformatics/Btv755  0.33
2015 Liu X, Wang X, Matwin S, Japkowicz N. Meta-MapReduce for scalable data mining Journal of Big Data. 2. DOI: 10.1186/S40537-015-0021-4  0.378
2015 Soares Júnior A, Moreno BN, Times VC, Matwin S, Cabral LdAF. GRASP-UTS: an algorithm for unsupervised trajectory segmentation International Journal of Geographical Information Science. 29: 46-68. DOI: 10.1080/13658816.2014.938078  0.317
2015 Esmin AAA, Coelho RA, Matwin S. A review on particle swarm optimization algorithm and its variants to clustering high-dimensional data Artificial Intelligence Review. 44: 23-45. DOI: 10.1007/S10462-013-9400-4  0.35
2015 Bigdeli E, Mohammadi M, Raahemi B, Matwin S. A fast and noise resilient cluster-based anomaly detection Pattern Analysis and Applications. DOI: 10.1007/S10044-015-0484-0  0.306
2014 Jafer Y, Matwin S, Sokolova M. Using feature selection to improve the utility of differentially private data publishing Procedia Computer Science. 37: 511-516. DOI: 10.1016/J.Procs.2014.08.076  0.374
2014 Dankar FK, El Emam K, Matwin S. Efficient private information retrieval for geographical aggregation Procedia Computer Science. 37: 497-502. DOI: 10.1016/J.Procs.2014.08.074  0.329
2013 Bouillot F, Hai PN, Béchet N, Bringay S, Ienco D, Matwin S, Poncelet P, Roche M, Teisseire M. How to Extract Relevant Knowledge from Tweets? Communications in Computer and Information Science. 146: 111-120. DOI: 10.1007/978-3-642-40140-4_12  0.322
2012 Matwin S, Sazonova V. Direct comparison between support vector machine and multinomial naive Bayes algorithms for medical abstract classification. Journal of the American Medical Informatics Association : Jamia. 19: 917. PMID 22683917 DOI: 10.1136/Amiajnl-2012-001072  0.32
2011 Jiline M, Matwin S, Turcotte M. Annotation concept synthesis and enrichment analysis: A logic-based approach to the interpretation of high-throughput experiments Bioinformatics. 27: 2391-2398. PMID 21743060 DOI: 10.1093/Bioinformatics/Btr337  0.589
2011 Frunza O, Inkpen D, Matwin S, Klement W, O'Blenis P. Exploiting the systematic review protocol for classification of medical abstracts Artificial Intelligence in Medicine. 51: 17-25. PMID 21084178 DOI: 10.1016/J.Artmed.2010.10.005  0.371
2011 Matwin S, Kouznetsov A, Inkpen D, Frunza O, O'Blenis P. Performance of SVM and Bayesian classifiers on the systematic review classification task Journal of the American Medical Informatics Association. 18: 104-105. DOI: 10.1136/Jamia.2010.009555  0.328
2010 Matwin S, Kouznetsov A, Inkpen D, Frunza O, O'Blenis P. A new algorithm for reducing the workload of experts in performing systematic reviews Journal of the American Medical Informatics Association. 17: 446-453. PMID 20595313 DOI: 10.1136/Jamia.2010.004325  0.316
2010 Herranz J, Matwin S, Nin J, Torra V. Classifying data from protected statistical datasets Computers and Security. 29: 875-890. DOI: 10.1016/J.Cose.2010.05.005  0.385
2008 O'Sullivan D, Elazmeh W, Wilk S, Farion K, Matwin S, Michalowski W, Sehatkar M. Using Secondary Knowledge to Support Decision Tree Classification of Retrospective Clinical Data Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4944: 238-251. DOI: 10.1007/978-3-540-68416-9_19  0.332
2007 Zhan J, Matwin S. Privacy-preserving support vector machine classification International Journal of Intelligent Information and Database Systems. 1: 356-385. DOI: 10.1504/Ijiids.2007.016686  0.391
2007 Zhan J, Matwin S, Chang LW. Privacy-preserving collaborative association rule mining Journal of Network and Computer Applications. 30: 1216-1227. DOI: 10.1007/11535706_12  0.388
2006 Drummond C, Matwin S, Gaffield C. Inferring and revising theories with confidence: Analyzing bilingualism in the 1901 canadian census Applied Artificial Intelligence. 20: 1-33. DOI: 10.1080/08839510500313711  0.322
2006 De Souza JT, Matwin S, Japkowicz N. Parallelizing feature selection Algorithmica (New York). 45: 433-456. DOI: 10.1007/S00453-006-1220-3  0.367
2006 Kiritchenko S, Matwin S, Nock R, Famili AF. Learning and evaluation in the presence of class hierarchies: Application to text categorization Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4013: 395-406. DOI: 10.1007/11766247_34  0.402
2006 Caropreso MF, Matwin S. Beyond the bag of words: A text representation for sentence selection Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4013: 324-335. DOI: 10.1007/11766247_28  0.341
2006 Nadeau D, Turney PD, Matwin S. Unsupervised named-entity recognition: Generating gazetteers and resolving ambiguity Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4013: 266-277. DOI: 10.1007/11766247_23  0.33
2005 Armour Q, Elazmeh W, El-Kadri N, Japkowicz N, Matwin S. Privacy compliance enforcement in email Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3501: 194-204. DOI: 10.1007/11424918_20  0.317
2004 Zhan JZ, Chang L, Matwin S. Privacy-preserving multi-party decision tree induction Ifip Advances in Information and Communication Technology. 144: 341-355. DOI: 10.1504/Ijbidm.2007.013937  0.339
2004 Ouerd M, Oommen BJ, Matwin S. A formal approach to using data distributions for building causal polytree structures Information Sciences. 168: 111-132. DOI: 10.1016/J.Ins.2004.01.001  0.356
2003 Messaouda O, Oommen JB, Matwin S. Enhancing caching in distributed databases using intelligent polytree representations Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2671: 498-504. DOI: 10.1007/3-540-44886-1_40  0.378
2003 Zaluski M, Japkowicz N, Matwin S. Case authoring from text and historical experiences Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 2671: 222-236. DOI: 10.1007/3-540-44886-1_18  0.327
2001 Morin J, Matwin S. GENEX: A tool for testing in ILP Software - Practice and Experience. 31: 1003-1023. DOI: 10.1002/Spe.398  0.313
2000 Morin J, Matwin S. Relational learning with transfer of knowledge between domains Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1822: 379-388. DOI: 10.1007/3-540-45486-1_32  0.337
1999 Létourneau S, Famili F, Matwin S. Data mining to predict aircraft component replacement Ieee Intelligent Systems and Their Applications. 14: 59-60. DOI: 10.1109/5254.809569  0.65
1998 Zaremba M, Fraczak W, Matwin S, Yos-Nhean T, Gorse N. Heterogeneous Intelligent Systems: Integration and Synchronisation of Concurrent Processes Ifac Proceedings Volumes. 31: 17-22. DOI: 10.1016/S1474-6670(17)40998-0  0.306
1998 Rios R, Matwin S. Predicate invention from a few examples Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1418: 455-466. DOI: 10.1007/3-540-64575-6_70  0.381
1998 Letourneau S, Matwin S, Famili F. A normalization method for contextual data: Experience from a large-scale application Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1398: 49-54.  0.673
1995 Matwin S, Charlebois D, Goodenough DG, Bhogal P. Machine Learning and Planning for Data Management in Forestry Ieee Expert-Intelligent Systems and Their Applications. 10: 35-41. DOI: 10.1109/64.483115  0.337
1994 Goodenough DG, Charlebois D, Matwin S, Robson M. Automating Reuse of Software for Expert System Analysis of Remote Sensing Data Ieee Transactions On Geoscience and Remote Sensing. 32: 525-533. DOI: 10.1109/36.297971  0.321
1992 Bergadano F, Matwin S, Michalski RS, Zhang J. Learning Two-Tiered Descriptions of Flexible Concepts: The POSEIDON System Machine Learning. 8: 5-43. DOI: 10.1023/A:1022682318197  0.358
1990 Geldrez C, Matwin S, Morin J, Probert RL. An Application of Explanation-Based Learning to Protocol Conformance Testing Ieee Expert-Intelligent Systems and Their Applications. 5: 45-47. DOI: 10.1109/64.60710  0.318
1990 Constant P, Matwin S, Oppacher F. LEW: Learning by Watching Ieee Transactions On Pattern Analysis and Machine Intelligence. 12: 294-308. DOI: 10.1109/34.49054  0.317
1988 Kersten GE, Michalowski W, Matwin S, Szpakowicz S. Representing the negotiation process with a rule-based formalism Theory and Decision. 25: 225-257. DOI: 10.1007/Bf00133164  0.375
1986 Tauzovich B, Matwin S, Skuce D, Szpakowicz S, Oppacher F. An expert advisory system for government regulations: knowledge acquisition methodology Ifac Proceedings Volumes. 19: 205-212. DOI: 10.1016/S1474-6670(17)69405-9  0.34
1985 Matwin S, Pietrzykowski T. PROGRAPH: A preliminary report Computer Languages. 10: 91-126. DOI: 10.1016/0096-0551(85)90002-5  0.305
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