Year |
Citation |
Score |
2020 |
Bellinger C, Sharma S, Japkowicz N, Zaïane OR. Framework for extreme imbalance classification: SWIM—sampling with the majority class Knowledge and Information Systems. 62: 841-866. DOI: 10.1007/S10115-019-01380-Z |
0.366 |
|
2019 |
Malondkar A, Corizzo R, Kiringa I, Ceci M, Japkowicz N. Spark-GHSOM: Growing Hierarchical Self-Organizing Map for large scale mixed attribute datasets Information Sciences. 496: 572-591. DOI: 10.1016/J.Ins.2018.12.007 |
0.337 |
|
2019 |
Corizzo R, Ceci M, Japkowicz N. Anomaly Detection and Repair for Accurate Predictions in Geo-distributed Big Data Big Data Research. 16: 18-35. DOI: 10.1016/J.Bdr.2019.04.001 |
0.36 |
|
2018 |
Yang Z, Japkowicz N. Anomaly behaviour detection based on the meta-Morisita index for large scale spatio-temporal data set Journal of Big Data. 5: 23. DOI: 10.1186/S40537-018-0133-8 |
0.335 |
|
2018 |
Shapiro D, Japkowicz N, Lemay M, Bolic M. Fuzzy String Matching with a Deep Neural Network Applied Artificial Intelligence. 32: 1-12. DOI: 10.1080/08839514.2018.1448137 |
0.312 |
|
2018 |
Bellinger C, Sharma S, Japkowicz N. One-class classification – From theory to practice: A case-study in radioactive threat detection Expert Systems With Applications. 108: 223-232. DOI: 10.1016/J.Eswa.2018.05.009 |
0.382 |
|
2018 |
Bellinger C, Drummond C, Japkowicz N. Manifold-based synthetic oversampling with manifold conformance estimation Machine Learning. 107: 605-637. DOI: 10.1007/S10994-017-5670-4 |
0.396 |
|
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 |
0.354 |
|
2014 |
Rigouste L, Szpakowicz S, Japkowicz N, Copeck T. An automatic evaluation framework for improving a configurable text summarizer Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 3060: 529-533. DOI: 10.1007/978-3-540-24840-8_49 |
0.39 |
|
2010 |
Stocki TJ, Li G, Japkowicz N, Ungar RK. Machine learning for radioxenon event classification for the Comprehensive Nuclear-Test-Ban Treaty. Journal of Environmental Radioactivity. 101: 68-74. PMID 19811861 DOI: 10.1016/J.Jenvrad.2009.08.015 |
0.408 |
|
2010 |
Drummond C, Japkowicz N. Warning: Statistical benchmarking is addictive. Kicking the habit in machine learning Journal of Experimental and Theoretical Artificial Intelligence. 22: 67-80. DOI: 10.1080/09528130903010295 |
0.389 |
|
2010 |
Wang BX, Japkowicz N. Boosting support vector machines for imbalanced data sets Knowledge and Information Systems. 25: 1-20. DOI: 10.1007/S10115-009-0198-Y |
0.41 |
|
2009 |
Moskovitch R, Stopel D, Feher C, Nissim N, Japkowicz N, Elovici Y. Unknown malcode detection and the imbalance problem Journal in Computer Virology. 5: 295-308. DOI: 10.1007/S11416-009-0122-8 |
0.321 |
|
2007 |
Anand SS, Bahls D, Burghart CR, Burstein M, Chen H, Collins J, Dietterich T, Doyle J, Drummond C, Elazmeh W, Geib C, Goldsmith J, Guesgen HW, Hendler J, Jannach D, ... Japkowicz N, et al. AAAI-07 workshop reports Ai Magazine. 28: 119-128. DOI: 10.1609/Aimag.V28I4.2071 |
0.318 |
|
2006 |
Achtner W, Aimeur E, Anand SS, Appelt D, Ashish N, Barnes T, Beck JE, Beetz M, Dias MB, Doshi P, Drummond C, Elazmeh W, Felner A, Freitag D, Geffner H, ... ... Japkowicz N, et al. Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) workshop program Ai Magazine. 27: 92-102. DOI: 10.1609/Aimag.V27I4.1912 |
0.316 |
|
2006 |
De Souza JT, Matwin S, Japkowicz N. Parallelizing feature selection Algorithmica (New York). 45: 433-456. DOI: 10.1007/S00453-006-1220-3 |
0.388 |
|
2005 |
Li H, Japkowicz N, Barrière C. English to Chinese translation of prepositions Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3501: 412-416. DOI: 10.1007/11424918_43 |
0.319 |
|
2004 |
Jo T, Japkowicz N. Class imbalances versus small disjuncts Sigkdd Explorations. 6: 40-49. DOI: 10.1145/1007730.1007737 |
0.314 |
|
2002 |
Copeck T, Japkowicz N, Szpakowicz S. Text Summarization as Controlled Search Lecture Notes in Computer Science. 268-280. DOI: 10.1007/3-540-47922-8_22 |
0.338 |
|
2001 |
Lesperance Y, Wagnerg G, Birmingham W, Bollacker K, Nareyek A, Walser JP, Aha D, Finin T, Grosof B, Japkowicz N, Holte R, Getoor L, Gomes CP, Hoos HH, Schultz AC, et al. AAAI 2000 workshop reports Ai Magazine. 22: 127-135. DOI: 10.1609/Aimag.V22I1.1552 |
0.374 |
|
2001 |
Japkowicz N. Supervised versus unsupervised binary-learning by feedforward neural networks Machine Learning. 42: 97-122. DOI: 10.1023/A:1007660820062 |
0.394 |
|
2001 |
Japkowicz N. Concept-learning in the presence of between-class and within-class imbalances Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2056: 67-77. DOI: 10.1007/3-540-45153-6_7 |
0.358 |
|
2000 |
Japkowicz N, Jos, Gluck MA. Nonlinear autoassociation is not equivalent to PCA. Neural Computation. 12: 531-45. PMID 10769321 DOI: 10.1162/089976600300015691 |
0.45 |
|
2000 |
Eavis T, Japkowicz N. A recognition-based alternative to discrimination-based multi-layer perceptrons Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1822: 280-292. DOI: 10.1007/3-540-45486-1_23 |
0.347 |
|
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