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

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

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

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

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

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

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

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

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

Proceedings of the Sixth International Conference on Weblogs and Social Media, Dublin, Ireland, June 4-7, 2012 (The AAAI Press, 2012)

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

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

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

Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM 2008, Napa Valley, California, USA, October 26-30, 2008 (ACM, 2008)

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

Computing Attitude and Affect in Text: Theory and Applications (Springer, 2006)

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

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

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

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

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

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

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

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

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

Modelling with Words - Learning, Fusion, and Reasoning within a Formal Linguistic Representation Framework (Springer, 2003)

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

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

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

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

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

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

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

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

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

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

Fuzzy Logic in Artificial Intelligence, IJCAI'97 Workshop, Nagoya, Japan, August 23-24, 1997, Selected and Invited Papers (Springer, 1999)

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

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

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

Structure Cognition from Images. - Ralescu, Anca L.; Shanahan, James G. (1995)