James G. Shanahan

41 papers A* 6A 8B 2Journal 6Unranked 12

Year	Rank	Type	Title / Venue / Authors
2022	—	`conf`	Online Advertising Incrementality Testing: Practical Lessons, Paid Search and Emerging Challenges. ECIR (2) Joel Barajas, Narayan Bhamidipati, James G. Shanahan
2021	A*	`conf`	Online Advertising Incrementality Testing And Experimentation: Industry Practical Lessons. KDD Joel Barajas, Narayan Bhamidipati, James G. Shanahan
2021	A	`conf`	Online Advertising Incrementality Testing: Practical Lessons And Emerging Challenges. CIKM Joel Barajas, Narayan Bhamidipati, James G. Shanahan
2020	A*	`conf`	Introduction to Computer Vision and Real Time Deep Learning-based Object Detection. KDD James G. Shanahan, Liang Dai
2020	A	`conf`	Introduction to Computer Vision and Realtime Deep Learning-based Object Detection. CIKM James G. Shanahan
2019	A	`conf`	Realtime Object Detection via Deep Learning-based Pipelines. CIKM James G. Shanahan, Liang Dai
2017	—	`conf`	Large Scale Distributed Data Science from scratch using Apache Spark 2.0. WWW (Companion Volume) James G. Shanahan, Liang Dai
2015	A*	`conf`	Large Scale Distributed Data Science using Apache Spark. KDD James G. Shanahan, Liang Dai
2012	A*	`conf`	Estimating the Expected Effectiveness of Text Classification Solutions under Subclass Distribution Shifts. ICDM Nedim Lipka, Benno Stein, James G. Shanahan
2012	A	`ed.`	Proceedings of the Sixth International Conference on Weblogs and Social Media, Dublin, Ireland, June 4-7, 2012 ICWSM John G. Breslin, Nicole B. Ellison, James G. Shanahan, Zeynep Tufekci
2011	—	`ch.`	Digital Advertising: An Information Scientist's Perspective. Advanced Topics in Information Retrieval James G. Shanahan, Goutham Kurra
2010	A	`conf`	Exploiting sequential relationships for familial classification. CIKM Lee S. Jensen, James G. Shanahan
2010	—	`conf`	Location disambiguation in local searches using gradient boosted decision trees. GIS Ritesh Agrawal, James G. Shanahan
2008	A	`ed.`	Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM 2008, Napa Valley, California, USA, October 26-30, 2008 CIKM James G. Shanahan, Sihem Amer-Yahia, Ioana Manolescu, Yi Zhang, David A. Evans, Aleksander Kolcz, Key-Sun Choi, Abdur Chowdhury
2006	—	`book`	Computing Attitude and Affect in Text: Theory and Applications James G. Shanahan, Yan Qu, Janyce Wiebe
2006	—	`ch.`	Validating the Coverage of Lexical Resources for Affect Analysis and Automatically Classifying New Words along Semantic Axes. Computing Attitude and Affect in Text Gregory Grefenstette, Yan Qu, David A. Evans, James G. Shanahan
2005	J	`jnl`	Future short term goals of research in computational analysis of stylistics in text. SIGIR Forum Shlomo Argamon, Jussi Karlgren, James G. Shanahan
2005	A*	`conf`	Probabilistic workflow mining. KDD Ricardo Bezerra de Andrade e Silva, Jiji Zhang, James G. Shanahan
2004	—	`conf`	Coupling Niche Browsers and Affect Analysis for an Opinion Mining Application. RIAO Gregory Grefenstette, Yan Qu, James G. Shanahan, David A. Evans
2004	—	`conf`	TREC 2004 HARD Track Experiments in Clustering. TREC David A. Evans, Jeffrey Bennett, Jesse Montgomery, Victor Sheftel, David A. Hull, James G. Shanahan
2004	J	`jnl`	The 2004 AAAI Spring Symposium Series. AI Mag. 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
2003	—	`conf`	Agentized, Contextualized Filters for Information Management. AMKM David A. Evans, Gregory Grefenstette, Yan Qu, James G. Shanahan, Victor Sheftel
2003	A	`conf`	Boosting support vector machines for text classification through parameter-free threshold relaxation. CIKM James G. Shanahan, Norbert Roma
2003	—	`conf`	Clairvoyance Corporation Experiments in the TREC 2003 High Accuracy Retrieval from Douments (HARD) Track. TREC James G. Shanahan, Jeffrey Bennett, David A. Evans, David A. Hull, Jesse Montgomery
2003	—	`conf`	Improving SVM Text Classification Performance through Threshold Adjustment. ECML James G. Shanahan, Norbert Roma
2003	—	`book`	Modelling with Words - Learning, Fusion, and Reasoning within a Formal Linguistic Representation Framework Modelling with Words Jonathan Lawry, James G. Shanahan, Anca L. Ralescu
2002	—	`conf`	CLARIT Experiments in Batch Filtering: Term Selection and Threshold Optimization in IR and SVM Filters. TREC David A. Evans, James G. Shanahan, Norbert Roma, Jeffrey Bennett, Victor Sheftel, Emilia Stoica, Jesse Montgomery, David A. Hull, Waibhav Tembe
2002	A*	`conf`	Topic structure modeling. SIGIR David A. Evans, James G. Shanahan, Victor Sheftel
2001	B	`conf`	Modeling with Words: an Approach to Text Categorization. FUZZ-IEEE James G. Shanahan
2001	—	`conf`	Topic-Specific Optimization and Structuring. TREC David A. Evans, James G. Shanahan, Xiang Tong, Norbert Roma, Emilia Stoica, Victor Sheftel, Jesse Montgomery, Jeffrey Bennett, Gregory Grefenstette
2000	J	`jnl`	A Soft Computing Approach to Road Classification. J. Intell. Robotic Syst. James G. Shanahan, Barry T. Thomas, Majid Mirmehdi, Trevor P. Martin, Neill W. Campbell, James F. Baldwin
2000	—	`book`	Soft computing for knowledge discovery introducing Cartesian granule features. James G. Shanahan
1999	B	`conf`	Constructive induction of fuzzy Cartesian granule feature models using genetic programming with applications. CEC James G. Shanahan, Jim F. Baldwin, Trevor P. Martin
1999	J	`jnl`	Controlling with words using automatically identified fuzzy Cartesian granule feature models. Int. J. Approx. Reason. James F. Baldwin, Trevor P. Martin, James G. Shanahan
1999	—	`ed.`	Fuzzy Logic in Artificial Intelligence, IJCAI'97 Workshop, Nagoya, Japan, August 23-24, 1997, Selected and Invited Papers Fuzzy Logic in Artificial Intelligence (IJCAI Workshop) Anca L. Ralescu, James G. Shanahan
1999	J	`jnl`	Perceptual organization for inferring object boundaries in an image1. Pattern Recognit. Anca L. Ralescu, James G. Shanahan
1999	A	`conf`	Road Recognition Using Fuzzy Classifiers. BMVC James G. Shanahan, Barry T. Thomas, Majid Mirmehdi, Trevor P. Martin, James F. Baldwin
1998	—	`—`	Cartesian granule features : knowledge discovery for classification and prediction. James G. Shanahan
1997	—	`conf`	System Identification of Fuzzy Cartesian Granules Feature Models Using Genetic Programming. Fuzzy Logic in Artificial Intelligence (IJCAI Workshop) James F. Baldwin, Trevor P. Martin, James G. Shanahan
1996	J	`jnl`	Editorial. Fuzzy Sets Syst. Anca L. Ralescu, James G. Shanahan
1995	—	`conf`	Structure Cognition from Images. Fuzzy Logic in Artificial Intelligence Anca L. Ralescu, James G. Shanahan