James G. Shanahan

T. P. Martin, James G. Shanahan, J. F. Baldwin, 1999, 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397).

Computing Attitude and Affect in Text: Theory and Applications

Janyce Wiebe, James G. Shanahan, Yan Qu, 2005, The Information Retrieval Series.

Topic structure modeling

James G. Shanahan, David A. Evans, Victor Sheftel, 2002, SIGIR '02.

Editorial

James G. Shanahan, Anca L. Ralescu, 1996, Fuzzy Sets Syst..

Exploiting sequential relationships for familial classification

James G. Shanahan, Lee S. Jensen, J. Shanahan, 2010, CIKM.

Boosting support vector machines for text classification through parameter-free threshold relaxation

James G. Shanahan, Norbert Roma, J. Shanahan, 2003, CIKM '03.

Soft computing for knowledge discovery introducing Cartesian granule features

James G. Shanahan, 2000, The Kluwer international series in engineering and computer science.

Introduction to Computer Vision and Realtime Deep Learning-based Object Detection

James G. Shanahan, 2020, CIKM.

Controlling with words using automatically identified fuzzy Cartesian granule feature models

James F. Baldwin, Trevor P. Martin, James G. Shanahan, 1999, Int. J. Approx. Reason..

Fril — a Support Logic Programming Environment

James G. Shanahan, 2000 .

Clairvoyance Corporation Experiments in the TREC 2003 High Accuracy Retrieval from Douments (HARD) Track

Jeffrey Bennett, James G. Shanahan, David A. Evans, 2003, TREC.

Improving SVM Text Classification Performance through Threshold Adjustment

James G. Shanahan, Norbert Roma, 2003, ECML.

Location disambiguation in local searches using gradient boosted decision trees

James G. Shanahan, Ritesh Agrawal, J. Shanahan, 2010, GIS '10.

Exploring attitude and affect in text : theories and applications : papers from the 2004 AAAI Symposium, March 22-24, Stanford, California

Janyce Wiebe, James G. Shanahan, Yan Qu, 2004 .

Analysis of Cartesian Granule Feature Models

James G. Shanahan, J. Shanahan, 2000 .

Topic-Specific Optimization and Structuring

Jeffrey Bennett, Gregory Grefenstette, James G. Shanahan, 2001, TREC.

Large Scale Distributed Data Science using Apache Spark

James G. Shanahan, Laing Dai, J. Shanahan, 2015, KDD.

Modeling with words: an approach to text categorization

James G. Shanahan, 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

The 2004 AAAI Spring Symposium Series

Tim Oates, Jerry B. Weinberg, Zachary Dodds, 2004, AI Mag..

Coupling Niche Browsers and Affect Analysis for an Opinion Mining Application

Gregory Grefenstette, James G. Shanahan, David A. Evans, 2004, RIAO.

Cartesian Granule Features

James G. Shanahan, J. Shanahan, 2000 .

Validating the Coverage of Lexical Resources for Affect Analysis and Automatically Classifying New Words along Semantic Axes

Gregory Grefenstette, James G. Shanahan, David A. Evans, 2006, Computing Attitude and Affect in Text.

Structure Cognition from Images

James G. Shanahan, Anca L. Ralescu, A. Ralescu, 1995, Fuzzy Logic in Artificial Intelligence.

Transitioning from recognition to understanding in vision using additive Cartesian granule feature models

T. P. Martin, James G. Shanahan, B. T. Thomas, 1999, 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397).

Estimating the Expected Effectiveness of Text Classification Solutions under Subclass Distribution Shifts

Benno Stein, James G. Shanahan, Nedim Lipka, 2012, 2012 IEEE 12th International Conference on Data Mining.

Fuzzy logic in artificial intelligence : IJCAI '97 Workshop, Nagoya, Japan, August 23-24, 1997 : selected and invited papers

James G. Shanahan, Anca L. Ralescu, 1999, IJCAI 1999.

A Soft Computing Approach to Road Classification

Majid Mirmehdi, James F. Baldwin, Trevor P. Martin, 2000, J. Intell. Robotic Syst..

Online Advertising Incrementality Testing And Experimentation: Industry Practical Lessons

James G. Shanahan, Narayan Bhamidipati, Joel Barajas, 2021, KDD.

Online Advertising Incrementality Testing: Practical Lessons And Emerging Challenges

James G. Shanahan, Narayan Bhamidipati, Joel Barajas, 2021, CIKM.

Mining Multilingual Opinions through Classification and Translation

Gregory Grefenstette, James G. Shanahan, Yan Qu, 2004 .

Constructive induction of fuzzy Cartesian granule feature models using genetic programming with applications

Trevor P Martin, J. F. Baldwin, James G. Shanahan, 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

Modelling with words using Cartesian granule features

Trevor P Martin, James F. Baldwin, James G. Shanahan, 1997, Proceedings of 6th International Fuzzy Systems Conference.

Automatic fuzzy Cartesian granule feature discovery using genetic programming in image understanding

Trevor P Martin, James F. Baldwin, James G. Shanahan, 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).