2006 | ||
---|---|---|
28 | EE | Bishwaranjan Bhattacharjee, Naoki Abe, Kenneth Goldman, Bianca Zadrozny, Vamsavardhana R. Chillakuru, Marysabel del Carpio, Chidanand Apté: Using secure coprocessors for privacy preserving collaborative data mining and analysis. DaMoN 2006: 1 |
2005 | ||
27 | Sameer Singh, Maneesha Singh, Chidanand Apté, Petra Perner: Pattern Recognition and Data Mining, Third International Conference on Advances in Pattern Recognition, ICAPR 2005, Bath, UK, August 22-25, 2005, Proceedings, Part I Springer 2005 | |
26 | Sameer Singh, Maneesha Singh, Chidanand Apté, Petra Perner: Pattern Recognition and Image Analysis, Third International Conference on Advances in Pattern Recognition, ICAPR 2005, Bath, UK, August 22-25, 2005, Proceedings, Part II Springer 2005 | |
2004 | ||
25 | EE | Naoki Abe, Naval K. Verma, Chidanand Apté, Robert Schroko: Cross channel optimized marketing by reinforcement learning. KDD 2004: 767-772 |
2003 | ||
24 | EE | Chidanand Apté, Se June Hong, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu, Sholom M. Weiss: Data-intensive analytics for predictive modeling. IBM Journal of Research and Development 47(1): 17-24 (2003) |
2002 | ||
23 | EE | Naoki Abe, Edwin P. D. Pednault, Haixun Wang, Bianca Zadrozny, Wei Fan, Chidanand Apté: Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing. ICDM 2002: 3-10 |
22 | EE | Chidanand Apté, Bing Liu, Edwin P. D. Pednault, Padhraic Smyth: Business applications of data mining. Commun. ACM 45(8): 49-53 (2002) |
21 | EE | Sholom M. Weiss, Chidanand Apté: Automated generation of model cases for help-desk applications. IBM Systems Journal 41(3): 421-427 (2002) |
20 | EE | Chidanand Apté, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu: A probabilistic estimation framework for predictive modeling analytics. IBM Systems Journal 41(3): 438-448 (2002) |
19 | EE | Ricardo Vilalta, Chidanand Apté, Joseph L. Hellerstein, Sheng Ma, Sholom M. Weiss: Predictive algorithms in the management of computer systems. IBM Systems Journal 41(3): 461-474 (2002) |
2001 | ||
18 | EE | Chidanand Apté, E. Bibelnieks, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu, Deb Campbell, Bryan Nelson: Segmentation-based modeling for advanced targeted marketing. KDD 2001: 408-413 |
2000 | ||
17 | EE | Ricardo Vilalta, Chidanand Apté, Sholom M. Weiss: Operational Data Analysis: Improved Predictions Using Multi-computer Pattern Detection. DSOM 2000: 37-46 |
16 | EE | Vijay S. Iyengar, Chidanand Apté, Tong Zhang: Active learning using adaptive resampling. KDD 2000: 91-98 |
15 | EE | Petra Perner, Chidanand Apté: Empirical Evaluation of Feature Subset Selection Based on a Real-World Data Set. PKDD 2000: 575-580 |
14 | EE | Sholom M. Weiss, Brian F. White, Chidanand Apté: Leightweight Document Clustering. PKDD 2000: 665-672 |
13 | EE | Sholom M. Weiss, Brian F. White, Chidanand Apté, Fred Damerau: Lightweight Document Matching for Help-Desk Applications. IEEE Intelligent Systems 15(2): 57-61 (2000) |
12 | EE | Chidanand Apté, Leora Morgenstern, Se June Hong: AI at IBM Research. IEEE Intelligent Systems 15(6): 51-57 (2000) |
1998 | ||
11 | EE | Chidanand Apté, Se June Hong, Jonathan R. M. Hosking, Jorge Lepre, Edwin P. D. Pednault, Barry K. Rosen: Decomposition of Heterogeneous Classification Problems. Intell. Data Anal. 2(1-4): 81-96 (1998) |
1997 | ||
10 | EE | Chidanand Apté, Se June Hong, Jonathan R. M. Hosking, Jorge Lepre, Edwin P. D. Pednault, Barry K. Rosen: Decomposition of Heterogeneous Classification Problems. IDA 1997: 17-28 |
1996 | ||
9 | Chidanand Apté, Se June Hong: Predicting Equity Returns from Securities Data. Advances in Knowledge Discovery and Data Mining 1996: 541-560 | |
1994 | ||
8 | Chidanand Apté, Se June Hong: Predicting Equity Returns from Securities Data with Minimal Rule Generation. KDD Workshop 1994: 407-418 | |
7 | EE | Chidanand Apté, Fred Damerau, Sholom M. Weiss: Towards Language Independent Automated Learning of Text Categorisation Models. SIGIR 1994: 23-30 |
6 | EE | Chidanand Apté, Fred Damerau, Sholom M. Weiss: Automated Learning of Decision Rules for Text Categorization. ACM Trans. Inf. Syst. 12(3): 233-251 (1994) |
5 | EE | Chidanand Apté, Raguram Sasisekharan, V. Seshadri, Sholom M. Weiss: Case studies in high-dimensional classification. Appl. Intell. 4(3): 269-281 (1994) |
1992 | ||
4 | Chidanand Apté, Robert Dionne, James H. Griesmer, Maurice Karnaugh, John K. Kastner, Meir Laker, Eric Keener Mays: An experiment in constructing an open expert system using a knowledge substrate. IBM Journal of Research and Development 36(3): 409-434 (1992) | |
1986 | ||
3 | Chidanand Apté, Se June Hong: Using Qualitative Reasoning to Understand Financial Arithmetic. AAAI 1986: 942-949 | |
2 | John K. Kastner, Chidanand Apté, James H. Griesmer, Se June Hong, Maurice Karnaugh, Eric Mays, Yoshio Tozawa: A Knowledge-Based Consultant for Financial Marketing. AI Magazine 7(5): 71-79 (1986) | |
1982 | ||
1 | Sholom M. Weiss, Casimir A. Kulikowski, Chidanand Apté, Michael Uschold, Jay Patchett, Robert Brigham, Belynda Spitzer: Building Expert Systems for Controlling Complex Programs. AAAI 1982: 322-326 |