Structure Cognition from Images. - Anca L. Ralescu; James G. Shanahan (Fuzzy Logic in Artificial Intelligence, 1995)

Editorial. - Anca L. Ralescu; James G. Shanahan (Fuzzy Sets Syst., 1996)

System Identification of Fuzzy Cartesian Granules Feature Models Using Genetic Programming. - James F. Baldwin; Trevor P. Martin; James G. Shanahan (Fuzzy Logic in Artificial Intelligence (IJCAI Workshop), 1997)

Cartesian granule features : knowledge discovery for classification and prediction. - James G. Shanahan (1998)

Road Recognition Using Fuzzy Classifiers. - James G. Shanahan; Barry T. Thomas; Majid Mirmehdi; Trevor P. Martin; James F. Baldwin (BMVC, 1999)

Constructive induction of fuzzy Cartesian granule feature models using genetic programming with applications. - James G. Shanahan; Jim F. Baldwin; Trevor P. Martin (CEC, 1999)

Controlling with words using automatically identified fuzzy Cartesian granule feature models. - James F. Baldwin; Trevor P. Martin; James G. Shanahan (Int. J. Approx. Reason., 1999)

Perceptual organization for inferring object boundaries in an image1. - Anca L. Ralescu; James G. Shanahan (Pattern Recognit., 1999)

Soft computing for knowledge discovery introducing Cartesian granule features. - James G. Shanahan (Kluwer, 2000)

A Soft Computing Approach to Road Classification. - James G. Shanahan; Barry T. Thomas; Majid Mirmehdi; Trevor P. Martin; Neill W. Campbell; James F. Baldwin (J. Intell. Robotic Syst., 2000)

Modeling with Words: an Approach to Text Categorization. - James G. Shanahan (FUZZ-IEEE, 2001)

Topic-Specific Optimization and Structuring. - David A. Evans 001; James G. Shanahan; Xiang Tong; Norbert Roma; Emilia Stoica; Victor Sheftel; Jesse Montgomery; Jeffrey Bennett; Gregory Grefenstette (TREC, 2001)

Topic structure modeling. - David A. Evans 001; James G. Shanahan; Victor Sheftel (SIGIR, 2002)

CLARIT Experiments in Batch Filtering: Term Selection and Threshold Optimization in IR and SVM Filters. - David A. Evans 001; James G. Shanahan; Norbert Roma; Jeffrey Bennett; Victor Sheftel; Emilia Stoica; Jesse Montgomery; David A. Hull; Waibhav Tembe (TREC, 2002)

Agentized, Contextualized Filters for Information Management. - David A. Evans 001; Gregory Grefenstette; Yan Qu; James G. Shanahan; Victor Sheftel (AMKM, 2003)

Boosting support vector machines for text classification through parameter-free threshold relaxation. - James G. Shanahan; Norbert Roma (CIKM, 2003)

Improving SVM Text Classification Performance through Threshold Adjustment. - James G. Shanahan; Norbert Roma (ECML, 2003)

Clairvoyance Corporation Experiments in the TREC 2003 High Accuracy Retrieval from Douments (HARD) Track. - James G. Shanahan; Jeffrey Bennett; David A. Evans 001; David A. Hull; Jesse Montgomery (TREC, 2003)

Coupling Niche Browsers and Affect Analysis for an Opinion Mining Application. - Gregory Grefenstette; Yan Qu; James G. Shanahan; David A. Evans 001 (RIAO, 2004)

TREC 2004 HARD Track Experiments in Clustering. - David A. Evans 001; Jeffrey Bennett; Jesse Montgomery; Victor Sheftel; David A. Hull; James G. Shanahan (TREC, 2004)

The 2004 AAAI Spring Symposium Series. - Lola Cañamero; Zachary Dodds; Lloyd G. Greenwald; James P. Gunderson; Ayanna M. Howard; Eva Hudlicka; Cheryl Martin 001; Lynn Parker; Tim Oates 001; Terry R. Payne; Yan Qu; Craig Schlenoff; et al. (AI Mag., 2004)

Probabilistic workflow mining. - Ricardo Bezerra de Andrade e Silva; Jiji Zhang; James G. Shanahan (KDD, 2005)

Future short term goals of research in computational analysis of stylistics in text. - Shlomo Argamon; Jussi Karlgren; James G. Shanahan (SIGIR Forum, 2005)

Validating the Coverage of Lexical Resources for Affect Analysis and Automatically Classifying New Words along Semantic Axes. - Gregory Grefenstette; Yan Qu; David A. Evans 001; James G. Shanahan (Computing Attitude and Affect in Text, 2006)

Exploiting sequential relationships for familial classification. - Lee S. Jensen; James G. Shanahan (CIKM, 2010)

Location disambiguation in local searches using gradient boosted decision trees. - Ritesh Agrawal; James G. Shanahan (GIS, 2010)

Digital Advertising: An Information Scientist's Perspective. - James G. Shanahan; Goutham Kurra (Advanced Topics in Information Retrieval, 2011)

Estimating the Expected Effectiveness of Text Classification Solutions under Subclass Distribution Shifts. - Nedim Lipka; Benno Stein 001; James G. Shanahan (ICDM, 2012)

Large Scale Distributed Data Science using Apache Spark. - James G. Shanahan; Liang Dai 003 (KDD, 2015)

Large Scale Distributed Data Science from scratch using Apache Spark 2.0. - James G. Shanahan; Liang Dai 003 (WWW (Companion Volume), 2017)

Realtime Object Detection via Deep Learning-based Pipelines. - James G. Shanahan; Liang Dai 003 (CIKM, 2019)

Introduction to Computer Vision and Realtime Deep Learning-based Object Detection. - James G. Shanahan (CIKM, 2020)

Introduction to Computer Vision and Real Time Deep Learning-based Object Detection. - James G. Shanahan; Liang Dai 003 (KDD, 2020)

Online Advertising Incrementality Testing: Practical Lessons And Emerging Challenges. - Joel Barajas; Narayan Bhamidipati; James G. Shanahan (CIKM, 2021)

Online Advertising Incrementality Testing And Experimentation: Industry Practical Lessons. - Joel Barajas; Narayan Bhamidipati; James G. Shanahan (KDD, 2021)

Online Advertising Incrementality Testing: Practical Lessons, Paid Search and Emerging Challenges. - Joel Barajas; Narayan Bhamidipati; James G. Shanahan (ECIR (2), 2022)