Articles dans des revues avec comité de lecture (156)
  1. 129. Meyer, P. E., Kontos, K., Lafitte, F., & Bontempi, G. (2007). Information-theoretic inference of large transcriptional regulatory networks. EURASIP Journal on Bioinformatics and Systems Biology, 2007, 79879. doi:10.1155/2007/79879
  2. 130. Caelen, O., Bontempi, G., & Barvais, L. (2007). Machine learning techniques for decision support in anesthesia. Lecture notes in computer science, 4594 LNAI, 165-169.
  3. 131. Meyer, P. E., Kontos, K., & Bontempi, G. (2007). Biological network inference using redundancy analysis. Lecture notes in computer science, 4414 LNBI, 16-27.
  4. 132. Norguet, J.-P., Tshibasu Kabeya, B., Bontempi, G., & Zimanyi, E. (2007). A page-classification approach to web usage semantic analysis. Engineering Letters, 14(1).
  5. 133. Villacci, D. D., Bontempi, G., & Vaccaro, A. A. (2006). An adaptive local learning-based methodology for voltage regulation in distribution networks with dispersed generation. IEEE transactions on power systems, 21(3), 1131-1140. doi:10.1109/TPWRS.2006.876691
  6. 134. Caelen, O., Bontempi, G., Coussaert, E., Barvais, L., & Clément, F. (2006). Machine learning techniques to enable closed-loop control in anesthesia. Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2006, 1647652, 696-701. doi:10.1109/CBMS.2006.110
  7. 135. Meyer, P. E., & Bontempi, G. (2006). On the use of variable complementarity for feature selection in cancer classification. Lecture notes in computer science, 3907 LNCS, 91-102. doi:10.1007/11732242_9
  8. 136. Norguet, J.-P., Tshibasu-Kabeya, B. B., Bontempi, G., & Zimanyi, E. (2006). Category-based audience metrics for Web site content improvement using ontologies and page classification. Lecture notes in computer science, 3999 LNCS, 216-220. doi:10.1007/11765448_21
  9. 137. Le Borgne, Y.-A., Moussaid, M., & Bontempi, G. (2006). Simulation architecture for data processing algorithms in wireless sensor networks. Proceedings (International Conference on Advanced Information Networking and Applications), 2, 1620409, 383-387. doi:10.1109/AINA.2006.311
  10. 138. Sotiriou, C., Wirapati, P., Loi, S., Desmedt, C., Haibe-Kains, B., Piette, F., Buyse, M., Bontempi, G., Delorenzi, M., & Piccart-Gebhart, M. (2006). Is genomic grading killing histological grading ? European journal of cancer, 4(2), 177.
  11. 139. Villacci, D. D., Bontempi, G., Vaccaro, A. A., & Birattari, M. (2005). The role of learning methods in the dynamic assessment of power components loading capability. IEEE transactions on industrial electronics, 52(1), 280-290. doi:10.1109/TIE.2004.841072
  12. 140. Bontempi, G., Birattari, M., & Meyer, P. E. (2005). Combining Lazy Learning, Racing and Subsampling for Effective Feature Selection. Lecture notes in computer science, 393-396.
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