| TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data A Colaprico, TC Silva, C Olsen, L Garofano, C Cava, D Garolini, ... Nucleic acids research 44 (8), e71-e71, 2016 | 2170 | 2016 |
| Definition of clinically distinct molecular subtypes in estrogen receptor-positive breast carcinomas through genomic grade S Loi, B Haibe-Kains, C Desmedt, F Lallemand, AM Tutt, C Gillet, P Ellis, ... Journal of clinical oncology 25 (10), 1239, 2007 | 916 | 2007 |
| Biological processes associated with breast cancer clinical outcome depend on the molecular subtypes C Desmedt, B Haibe-Kains, P Wirapati, M Buyse, D Larsimont, ... Clinical cancer research 14 (16), 5158-5165, 2008 | 912 | 2008 |
| Determinants of community structure in the global plankton interactome G Lima-Mendez, K Faust, N Henry, J Decelle, S Colin, F Carcillo, ... Science 348 (6237), 1262073, 2015 | 763 | 2015 |
| Machine learning strategies for time series forecasting G Bontempi, S Ben Taieb, YA Le Borgne Business Intelligence: Second European Summer School, eBISS 2012, Brussels …, 2013 | 624 | 2013 |
| A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition SB Taieb, G Bontempi, AF Atiya, A Sorjamaa Expert systems with applications 39 (8), 7067-7083, 2012 | 619 | 2012 |
| A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition SB Taieb, G Bontempi, AF Atiya, A Sorjamaa Expert systems with applications 39 (8), 7067-7083, 2012 | 619 | 2012 |
| minet: A R/Bioconductor Package for Inferring Large Transcriptional Networks Using Mutual Information PE Meyer, F Lafitte, G Bontempi BMC bioinformatics 9, 1-10, 2008 | 611 | 2008 |
| Information-theoretic inference of large transcriptional regulatory networks PE Meyer, K Kontos, F Lafitte, G Bontempi EURASIP journal on bioinformatics and systems biology 2007, 1-9, 2007 | 522 | 2007 |
| Calibrating probability with undersampling for unbalanced classification A Dal Pozzolo, O Caelen, RA Johnson, G Bontempi 2015 IEEE symposium series on computational intelligence, 159-166, 2015 | 508 | 2015 |
| Learned lessons in credit card fraud detection from a practitioner perspective A Dal Pozzolo, O Caelen, YA Le Borgne, S Waterschoot, G Bontempi Expert systems with applications 41 (10), 4915-4928, 2014 | 471 | 2014 |
| Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen S Loi, B Haibe-Kains, C Desmedt, P Wirapati, F Lallemand, AM Tutt, ... BMC genomics 9 (1), 1-12, 2008 | 414 | 2008 |
| Credit card fraud detection: a realistic modeling and a novel learning strategy A Dal Pozzolo, G Boracchi, O Caelen, C Alippi, G Bontempi IEEE transactions on neural networks and learning systems 29 (8), 3784-3797, 2017 | 391 | 2017 |
| A three-gene model to robustly identify breast cancer molecular subtypes B Haibe-Kains, C Desmedt, S Loi, AC Culhane, G Bontempi, ... Journal of the National Cancer Institute 104 (4), 311-325, 2012 | 347 | 2012 |
| Lazy learning for local modelling and control design G Bontempi, M Birattari, H Bersini International Journal of Control 72 (7-8), 643-658, 1999 | 325 | 1999 |
| Information-theoretic feature selection in microarray data using variable complementarity PE Meyer, C Schretter, G Bontempi IEEE Journal of Selected Topics in Signal Processing 2 (3), 261-274, 2008 | 308 | 2008 |
| Effect of 21 Different Nitrogen Sources on Global Gene Expression in the Yeast Saccharomyces cerevisiae P Godard, A Urrestarazu, S Vissers, K Kontos, G Bontempi, J Van Helden, ... Molecular and cellular biology 27 (8), 3065-3086, 2007 | 292 | 2007 |
| New functionalities in the TCGAbiolinks package for the study and integration of cancer data from GDC and GTEx M Mounir, M Lucchetta, TC Silva, C Olsen, G Bontempi, X Chen, ... PLoS computational biology 15 (3), e1006701, 2019 | 276 | 2019 |
| Combining unsupervised and supervised learning in credit card fraud detection F Carcillo, YA Le Borgne, O Caelen, Y Kessaci, F Oblé, G Bontempi Information sciences 557, 317-331, 2021 | 256 | 2021 |
| Adaptive model selection for time series prediction in wireless sensor networks YA Le Borgne, S Santini, G Bontempi Signal Processing 87 (12), 3010-3020, 2007 | 237 | 2007 |
Benjamin Haibe-KainsScientist (Principal Investigator), Princess Margaret Cancer Centre, University Health Networkuhnresearch.ca의 이메일 확인됨
