| 2008 |
|---|
| 51 | EE | Sholom M. Weiss,
Nitin Indurkhya:
Estimating Sales Opportunity Using Similarity-Based Methods.
ECML/PKDD (2) 2008: 582-596 |
| 2004 |
|---|
| 50 | EE | Fred Damerau,
Tong Zhang,
Sholom M. Weiss,
Nitin Indurkhya:
Text categorization for a comprehensive time-dependent benchmark.
Inf. Process. Manage. 40(2): 209-221 (2004) |
| 2003 |
|---|
| 49 | EE | Sholom M. Weiss,
Stephen J. Buckley,
Shubir Kapoor,
Søren Damgaard:
Knowledge-based data mining.
KDD 2003: 456-461 |
| 48 | 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 |
|---|
| 47 | EE | Sholom M. Weiss,
Naval K. Verma:
A system for real-time competitive market intelligence.
KDD 2002: 360-365 |
| 46 | EE | Fred Damerau,
Tong Zhang,
Sholom M. Weiss,
Nitin Indurkhya:
Experiments in high-dimensional text categorization.
SIGIR 2002: 357-358 |
| 45 | EE | Sholom M. Weiss,
Chidanand Apté:
Automated generation of model cases for help-desk applications.
IBM Systems Journal 41(3): 421-427 (2002) |
| 44 | 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 |
|---|
| 43 | EE | Nitin Indurkhya,
Sholom M. Weiss:
Solving regression problems with rule-based ensemble classifiers.
KDD 2001: 287-292 |
| 42 | EE | Nitin Indurkhya,
Sholom M. Weiss:
Rule-Based Ensemble Solutions for Regression.
MLDM 2001: 62-72 |
| 41 | EE | Sholom M. Weiss,
Nitin Indurkhya:
Lightweight Collaborative Filtering Method for Binary-Encoded Data.
PKDD 2001: 484-491 |
| 40 | | Se June Hong,
Sholom M. Weiss:
Advances in predictive models for data mining.
Pattern Recognition Letters 22(1): 55-61 (2001) |
| 2000 |
|---|
| 39 | EE | Ricardo Vilalta,
Chidanand Apté,
Sholom M. Weiss:
Operational Data Analysis: Improved Predictions Using Multi-computer Pattern Detection.
DSOM 2000: 37-46 |
| 38 | EE | Sholom M. Weiss,
Nitin Indurkhya:
Decision-Rule Solutions for Data Mining with Missing Values.
IBERAMIA-SBIA 2000: 1-10 |
| 37 | | Sholom M. Weiss,
Nitin Indurkhya:
Lightweight Rule Induction.
ICML 2000: 1135-1142 |
| 36 | EE | Sholom M. Weiss,
Brian F. White,
Chidanand Apté:
Leightweight Document Clustering.
PKDD 2000: 665-672 |
| 35 | 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) |
| 1999 |
|---|
| 34 | EE | Se June Hong,
Sholom M. Weiss:
Advanced in Predictive Data Mining Methods.
MLDM 1999: 13-20 |
| 1998 |
|---|
| 33 | EE | Nitin Indurkhya,
Sholom M. Weiss:
Estimating Performance Gains for Voted Decision Trees.
Intell. Data Anal. 2(1-4): 303-310 (1998) |
| 1996 |
|---|
| 32 | | Sholom M. Weiss,
Nitin Indurkhya:
Selecting the Right-Size Model for Prediction.
Appl. Intell. 6(4): 261-273 (1996) |
| 31 | EE | Raguram Sasisekharan,
V. Seshadri,
Sholom M. Weiss:
Data Mining and Forecasting in Large-Scale Telecommunication Networks.
IEEE Expert 11(1): 37-43 (1996) |
| 1995 |
|---|
| 30 | | Nitin Indurkhya,
Sholom M. Weiss:
Using Case Data to Improve on Rule-based Function Approximation.
ICCBR 1995: 217-228 |
| 29 | | V. Seshadri,
Raguram Sasisekharan,
Sholom M. Weiss:
Feature Extraction for Massive Data Mining.
KDD 1995: 258-262 |
| 28 | | Sholom M. Weiss,
Nitin Indurkhya:
Rule-based Machine Learning Methods for Functional Prediction.
J. Artif. Intell. Res. (JAIR) 3: 383-403 (1995) |
| 1994 |
|---|
| 27 | | Sholom M. Weiss,
Nitin Indurkhya:
Decision Tree Pruning: Biased or Optimal?
AAAI 1994: 626-632 |
| 26 | | Sholom M. Weiss,
Nitin Indurkhya:
Small Sample Decision tree Pruning.
ICML 1994: 335-342 |
| 25 | | Raguram Sasisekharan,
V. Seshadri,
Sholom M. Weiss:
Proactive Network Maintenance Using Machine Learning.
KDD Workshop 1994: 453-462 |
| 24 | EE | Chidanand Apté,
Fred Damerau,
Sholom M. Weiss:
Towards Language Independent Automated Learning of Text Categorisation Models.
SIGIR 1994: 23-30 |
| 23 | 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) |
| 22 | EE | Sholom M. Weiss,
Nitin Indurkhya:
Guest editors' introduction.
Appl. Intell. 4(3): 243-244 (1994) |
| 21 | EE | Chidanand Apté,
Raguram Sasisekharan,
V. Seshadri,
Sholom M. Weiss:
Case studies in high-dimensional classification.
Appl. Intell. 4(3): 269-281 (1994) |
| 1993 |
|---|
| 20 | | Sholom M. Weiss,
Nitin Indurkhya:
Rule-Based Regression.
IJCAI 1993: 1072-1078 |
| 19 | | Sholom M. Weiss,
Dawn M. Cohen,
Nitin Indurkhya:
Transmembrane Segment Prediction from Protein Sequence Data.
ISMB 1993: 420-428 |
| 18 | EE | Sholom M. Weiss,
Nitin Indurkhya:
Optimized Rule Induction.
IEEE Expert 8(6): 61-69 (1993) |
| 1992 |
|---|
| 17 | EE | Nitin Indurkhya,
Sholom M. Weiss:
Heuristic configuration of single hidden-layer feed-forward neural networks.
Appl. Intell. 2(4): 325-331 (1992) |
| 1991 |
|---|
| 16 | | Sholom M. Weiss,
Nitin Indurkhya:
Reduced Complexity Rule Induction.
IJCAI 1991: 678-684 |
| 15 | EE | Nitin Indurkhya,
Sholom M. Weiss:
Iterative rule induction methods.
Appl. Intell. 1(1): 43-54 (1991) |
| 14 | EE | Sholom M. Weiss:
Small Sample Error Rate Estimation for k-NN Classifiers.
IEEE Trans. Pattern Anal. Mach. Intell. 13(3): 285-289 (1991) |
| 1990 |
|---|
| 13 | | Sholom M. Weiss,
Casimir A. Kulikowski:
Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert Systems
Morgan Kaufmann 1990 |
| 12 | | Sholom M. Weiss,
Robert S. Galen,
Prasad Tadepalli:
Maximizing the Predictive Value of Production Rules.
Artif. Intell. 45(1-2): 47-71 (1990) |
| 1989 |
|---|
| 11 | | Sholom M. Weiss,
Ioannis Kapouleas:
An Empirical Comparison of Pattern Recognition, Neural Nets, and Machine Learning Classification Methods.
IJCAI 1989: 781-787 |
| 1988 |
|---|
| 10 | | Allen Ginsberg,
Sholom M. Weiss,
Peter Politakis:
Automatic Knowledge Base Refinement for Classification Systems.
Artif. Intell. 35(2): 197-226 (1988) |
| 1987 |
|---|
| 9 | | Sholom M. Weiss,
Robert S. Galen,
Prasad Tadepalli:
Optimizing the Predictive Value of Diagnostic Decision Rules.
AAAI 1987: 521-527 |
| 1985 |
|---|
| 8 | | Allen Ginsberg,
Sholom M. Weiss,
Peter Politakis:
SEEK2: A Generalized Approach to Automatic Knowledge Base Refinement.
IJCAI 1985: 367-374 |
| 1984 |
|---|
| 7 | | Peter Politakis,
Sholom M. Weiss:
Using Empirical Analysis to Refine Expert System Knowledge Bases.
Artif. Intell. 22(1): 23-48 (1984) |
| 1982 |
|---|
| 6 | | 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 |
| 1981 |
|---|
| 5 | | Sholom M. Weiss,
Casimir A. Kulikowski,
Robert S. Galen:
Developing Microprocessor Based Expert Models for Instrument Interpretation.
IJCAI 1981: 853-855 |
| 4 | | John K. Kastmer,
Sholom M. Weiss:
A Precedence Scheme for Selection and Explanation of Therapies.
IJCAI 1981: 908-909 |
| 1978 |
|---|
| 3 | | Sholom M. Weiss,
Casimir A. Kulikowski,
Saul Amarel,
Aran Safir:
A Model-Based Method for Computer-Aided Medical Decision-Making.
Artif. Intell. 11(1-2): 145-172 (1978) |
| 1977 |
|---|
| 2 | | Sholom M. Weiss,
Casimir A. Kulikowski,
Aran Safir:
A Model-Based Consultation System for the Long-Term Management of Glaucoma.
IJCAI 1977: 826-832 |
| 1976 |
|---|
| 1 | | Casimir A. Kulikowski,
Sholom M. Weiss,
M. Trigoboff,
Aran Safir:
Clinical Consultation of Disease Processes: Some A. I. Problems.
AISB (ECAI) 1976: 166-174 |
