James G. Shanahan

According to our database, James G. Shanahan authored at least 36 papers between 1995 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Online Advertising Incrementality Testing: Practical Lessons, Paid Search and Emerging Challenges.

Joel Barajas, Narayan Bhamidipati, James G. Shanahan

Proceedings of the Advances in Information Retrieval, 2022

2021

Online Advertising Incrementality Testing And Experimentation: Industry Practical Lessons.

Joel Barajas, Narayan Bhamidipati, James G. Shanahan

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Online Advertising Incrementality Testing: Practical Lessons And Emerging Challenges.

Joel Barajas, Narayan Bhamidipati, James G. Shanahan

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Introduction to Computer Vision and Real Time Deep Learning-based Object Detection.

James G. Shanahan, Liang Dai

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

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

James G. Shanahan

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Realtime Object Detection via Deep Learning-based Pipelines.

James G. Shanahan, Liang Dai

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2017

Large Scale Distributed Data Science from scratch using Apache Spark 2.0.

James G. Shanahan, Liang Dai

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

2015

Large Scale Distributed Data Science using Apache Spark.

James G. Shanahan, Liang Dai

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2012

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

Nedim Lipka, Benno Stein, James G. Shanahan

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011

Digital Advertising: An Information Scientist's Perspective.

James G. Shanahan, Goutham Kurra

Proceedings of the Advanced Topics in Information Retrieval, 2011

2010

Location disambiguation in local searches using gradient boosted decision trees.

Ritesh Agrawal, James G. Shanahan

Proceedings of the 18th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2010

Exploiting sequential relationships for familial classification.

Lee S. Jensen, James G. Shanahan

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2006

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

Gregory Grefenstette, Yan Qu, David A. Evans, James G. Shanahan

Proceedings of the Computing Attitude and Affect in Text: Theory and Applications, 2006

2005

Future short term goals of research in computational analysis of stylistics in text.

Shlomo Argamon, Jussi Karlgren, James G. Shanahan

SIGIR Forum, 2005

Probabilistic workflow mining.

Ricardo Bezerra de Andrade e Silva, Jiji Zhang, James G. Shanahan

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

2004

The 2004 AAAI Spring Symposium Series.

Lola Cañamero, Zachary Dodds, Lloyd G. Greenwald, James P. Gunderson, Ayanna M. Howard, Eva Hudlicka, Cheryl Martin, Lynn Parker, Tim Oates, Terry R. Payne, Yan Qu, Craig Schlenoff, James G. Shanahan, Sheila Tejada, Jerry B. Weinberg, Janyce Wiebe

AI Mag., 2004

TREC 2004 HARD Track Experiments in Clustering.

David A. Evans, Jeffrey Bennett, Jesse Montgomery, Victor Sheftel, David A. Hull, James G. Shanahan

Proceedings of the Thirteenth Text REtrieval Conference, 2004

Coupling Niche Browsers and Affect Analysis for an Opinion Mining Application.

Gregory Grefenstette, Yan Qu, James G. Shanahan, David A. Evans

Proceedings of the Computer-Assisted Information Retrieval (Recherche d'Information et ses Applications), 2004

2003

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

James G. Shanahan, Jeffrey Bennett, David A. Evans, David A. Hull, Jesse Montgomery

Proceedings of The Twelfth Text REtrieval Conference, 2003

Improving SVM Text Classification Performance through Threshold Adjustment.

James G. Shanahan, Norbert Roma

Proceedings of the Machine Learning: ECML 2003, 2003

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

James G. Shanahan, Norbert Roma

Proceedings of the 2003 ACM CIKM International Conference on Information and Knowledge Management, 2003

Agentized, Contextualized Filters for Information Management.

David A. Evans, Gregory Grefenstette, Yan Qu, James G. Shanahan, Victor Sheftel

Proceedings of the Agent Mediated Knowledge Management, 2003

2002

CLARIT Experiments in Batch Filtering: Term Selection and Threshold Optimization in IR and SVM Filters.

David A. Evans, James G. Shanahan, Norbert Roma, Jeffrey Bennett, Victor Sheftel, Emilia Stoica, Jesse Montgomery, David A. Hull, Waibhav Tembe

Proceedings of The Eleventh Text REtrieval Conference, 2002

Topic structure modeling.

David A. Evans, James G. Shanahan, Victor Sheftel

Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002

2001

Topic-Specific Optimization and Structuring.

David A. Evans, James G. Shanahan, Xiang Tong, Norbert Roma, Emilia Stoica, Victor Sheftel, Jesse Montgomery, Jeffrey Bennett, Gregory Grefenstette

Proceedings of The Tenth Text REtrieval Conference, 2001

Modeling with Words: an Approach to Text Categorization.

James G. Shanahan

Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

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

Soft computing for knowledge discovery introducing Cartesian granule features.

James G. Shanahan

The Kluwer international series in engineering and computer science 570, Kluwer, ISBN: 978-0-7923-7918-8, 2000

1999

Perceptual organization for inferring object boundaries in an image1.

Anca L. Ralescu, James G. Shanahan

Pattern Recognit., 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

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

James G. Shanahan, Jim F. Baldwin, Trevor P. Martin

Proceedings of the 1999 Congress on Evolutionary Computation, 1999

Road Recognition Using Fuzzy Classifiers.

James G. Shanahan, Barry T. Thomas, Majid Mirmehdi, Trevor P. Martin, James F. Baldwin

Proceedings of the British Machine Vision Conference 1999, 1999

1998

Cartesian granule features : knowledge discovery for classification and prediction.

James G. Shanahan

PhD thesis, 1998

1997

System Identification of Fuzzy Cartesian Granules Feature Models Using Genetic Programming.

James F. Baldwin, Trevor P. Martin, James G. Shanahan

Proceedings of the Fuzzy Logic in Artificial Intelligence, 1997

1996

Editorial.

Anca L. Ralescu, James G. Shanahan

Fuzzy Sets Syst., 1996

1995

Structure Cognition from Images.

Anca L. Ralescu, James G. Shanahan

Proceedings of the Fuzzy Logic in Artificial Intelligence, 1995