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James G. Shanahan
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2020 – today
- 2022
- [c26]Joel Barajas, Narayan Bhamidipati, James G. Shanahan:
Online Advertising Incrementality Testing: Practical Lessons, Paid Search and Emerging Challenges. ECIR (2) 2022: 575-581 - 2021
- [c25]Joel Barajas, Narayan Bhamidipati, James G. Shanahan:
Online Advertising Incrementality Testing: Practical Lessons And Emerging Challenges. CIKM 2021: 4838-4841 - [c24]Joel Barajas, Narayan Bhamidipati, James G. Shanahan:
Online Advertising Incrementality Testing And Experimentation: Industry Practical Lessons. KDD 2021: 4027-4028 - 2020
- [c23]James G. Shanahan:
Introduction to Computer Vision and Realtime Deep Learning-based Object Detection. CIKM 2020: 3515-3516 - [c22]James G. Shanahan, Liang Dai:
Introduction to Computer Vision and Real Time Deep Learning-based Object Detection. KDD 2020: 3523-3524
2010 – 2019
- 2019
- [c21]James G. Shanahan, Liang Dai:
Realtime Object Detection via Deep Learning-based Pipelines. CIKM 2019: 2977-2978 - 2017
- [c20]James G. Shanahan, Liang Dai:
Large Scale Distributed Data Science from scratch using Apache Spark 2.0. WWW (Companion Volume) 2017: 955-957 - 2015
- [c19]James G. Shanahan, Liang Dai:
Large Scale Distributed Data Science using Apache Spark. KDD 2015: 2323-2324 - 2012
- [c18]Nedim Lipka, Benno Stein, James G. Shanahan:
Estimating the Expected Effectiveness of Text Classification Solutions under Subclass Distribution Shifts. ICDM 2012: 972-977 - [e5]John G. Breslin, Nicole B. Ellison, James G. Shanahan, Zeynep Tufekci:
Proceedings of the Sixth International Conference on Weblogs and Social Media, Dublin, Ireland, June 4-7, 2012. The AAAI Press 2012 [contents] - 2011
- [p2]James G. Shanahan, Goutham Kurra:
Digital Advertising: An Information Scientist's Perspective. Advanced Topics in Information Retrieval 2011: 209-237 - 2010
- [c17]Lee S. Jensen, James G. Shanahan:
Exploiting sequential relationships for familial classification. CIKM 2010: 1901-1904 - [c16]Ritesh Agrawal, James G. Shanahan:
Location disambiguation in local searches using gradient boosted decision trees. GIS 2010: 129-136
2000 – 2009
- 2008
- [e4]James G. Shanahan, Sihem Amer-Yahia, Ioana Manolescu, Yi Zhang, David A. Evans, Aleksander Kolcz, Key-Sun Choi, Abdur Chowdhury:
Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM 2008, Napa Valley, California, USA, October 26-30, 2008. ACM 2008, ISBN 978-1-59593-991-3 [contents] - 2006
- [p1]Gregory Grefenstette
, Yan Qu, David A. Evans, James G. Shanahan:
Validating the Coverage of Lexical Resources for Affect Analysis and Automatically Classifying New Words along Semantic Axes. Computing Attitude and Affect in Text 2006: 93-107 - [e3]James G. Shanahan, Yan Qu, Janyce Wiebe:
Computing Attitude and Affect in Text: Theory and Applications. The Information Retrieval Series 20, Springer 2006, ISBN 978-1-4020-4026-9 [contents] - 2005
- [j6]Shlomo Argamon, Jussi Karlgren, James G. Shanahan:
Future short term goals of research in computational analysis of stylistics in text. SIGIR Forum 39(2): 17-18 (2005) - [c15]Ricardo Bezerra de Andrade e Silva, Jiji Zhang
Probabilistic workflow mining. KDD 2005: 275-284 - 2004
- [j5]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:
The 2004 AAAI Spring Symposium Series. AI Mag. 25(4): 95-100 (2004) - [c14]Gregory Grefenstette, Yan Qu, James G. Shanahan, David A. Evans:
Coupling Niche Browsers and Affect Analysis for an Opinion Mining Application. RIAO 2004: 186-194 - [c13]David A. Evans, Jeffrey Bennett, Jesse Montgomery, Victor Sheftel, David A. Hull, James G. Shanahan:
TREC 2004 HARD Track Experiments in Clustering. TREC 2004 - 2003
- [c12]David A. Evans, Gregory Grefenstette
Agentized, Contextualized Filters for Information Management. AMKM 2003: 229-244 - [c11]James G. Shanahan, Norbert Roma:
Boosting support vector machines for text classification through parameter-free threshold relaxation. CIKM 2003: 247-254 - [c10]James G. Shanahan, Norbert Roma:
Improving SVM Text Classification Performance through Threshold Adjustment. ECML 2003: 361-372 - [c9]James G. Shanahan, Jeffrey Bennett, David A. Evans, David A. Hull, Jesse Montgomery:
Clairvoyance Corporation Experiments in the TREC 2003 High Accuracy Retrieval from Douments (HARD) Track. TREC 2003: 152-160 - [e2]Jonathan Lawry, James G. Shanahan, Anca L. Ralescu:
Modelling with Words - Learning, Fusion, and Reasoning within a Formal Linguistic Representation Framework. Lecture Notes in Computer Science 2873, Springer 2003, ISBN 3-540-20487-3 [contents] - 2002
- [c8]David A. Evans, James G. Shanahan, Victor Sheftel:
Topic structure modeling. SIGIR 2002: 417-418 - [c7]David A. Evans, James G. Shanahan, Norbert Roma, Jeffrey Bennett, Victor Sheftel, Emilia Stoica, Jesse Montgomery, David A. Hull, Waibhav Tembe:
CLARIT Experiments in Batch Filtering: Term Selection and Threshold Optimization in IR and SVM Filters. TREC 2002 - 2001
- [c6]James G. Shanahan:
Modeling with Words: an Approach to Text Categorization. FUZZ-IEEE 2001: 63-66 - [c5]David A. Evans, James G. Shanahan, Xiang Tong, Norbert Roma, Emilia Stoica, Victor Sheftel, Jesse Montgomery, Jeffrey Bennett, Gregory Grefenstette:
Topic-Specific Optimization and Structuring. TREC 2001 - 2000
- [b2]James G. Shanahan:
Soft computing for knowledge discovery introducing Cartesian granule features. The Kluwer international series in engineering and computer science 570, Kluwer 2000, ISBN 978-0-7923-7918-8, pp. I-XXI, 1-326 - [j4]James G. Shanahan, Barry T. Thomas, Majid Mirmehdi, Trevor P. Martin, Neill W. Campbell, James F. Baldwin:
A Soft Computing Approach to Road Classification. J. Intell. Robotic Syst. 29(4): 349-387 (2000)
1990 – 1999
- 1999
- [j3]James F. Baldwin, Trevor P. Martin, James G. Shanahan:
Controlling with words using automatically identified fuzzy Cartesian granule feature models. Int. J. Approx. Reason. 22(1-2): 109-148 (1999) - [j2]Anca L. Ralescu, James G. Shanahan:
Perceptual organization for inferring object boundaries in an image1. Pattern Recognit. 32(11): 1923-1933 (1999) - [c4]James G. Shanahan, Barry T. Thomas, Majid Mirmehdi, Trevor P. Martin, James F. Baldwin:
Road Recognition Using Fuzzy Classifiers. BMVC 1999: 1-11 - [c3]James G. Shanahan, Jim F. Baldwin, Trevor P. Martin:
Constructive induction of fuzzy Cartesian granule feature models using genetic programming with applications. CEC 1999: 218-228 - [e1]Anca L. Ralescu, James G. Shanahan:
Fuzzy Logic in Artificial Intelligence, IJCAI'97 Workshop, Nagoya, Japan, August 23-24, 1997, Selected and Invited Papers. Lecture Notes in Computer Science 1566, Springer 1999, ISBN 3-540-66374-6 [contents] - 1998
- [b1]James G. Shanahan:
Cartesian granule features : knowledge discovery for classification and prediction. University of Bristol, UK, 1998 - 1997
- [c2]James F. Baldwin, Trevor P. Martin, James G. Shanahan:
System Identification of Fuzzy Cartesian Granules Feature Models Using Genetic Programming. Fuzzy Logic in Artificial Intelligence (IJCAI Workshop) 1997: 91-116 - 1996
- [j1]Anca L. Ralescu, James G. Shanahan:
Editorial. Fuzzy Sets Syst. 77(1): 1-2 (1996) - 1995
- [c1]Anca L. Ralescu, James G. Shanahan:
Structure Cognition from Images. Fuzzy Logic in Artificial Intelligence 1995: 225-239
Coauthor Index
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