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Publications.html
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<img id="ankur-pp" src="ankur_pp.jpg" alt="Ankur Teredesai, Ph.D" />
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<strong>Ankur M. Teredesai, Ph.D.</strong><br />
Professor<br />
Graduate Program Coordinator<br />
Computer Science & Systems<br />
Institute of Technology<br />
<a href="http://www.tacoma.uw.edu/">University of Washington Tacoma</a><br /><br />
Director:<br />
<a href="http://cwds.uw.edu/">Center for Data Science</a><br />
<a href="http://www.uw.edu/">University of Washington</a><br /><br />
Information Officer:<br />
<a href="http://www.kdd.org/">ACM SIGKDD</a><br /><br />
<hr>
<br /><strong>Contact Information:</strong><br />
Email: ankurt AT uw dot edu<br />
Office: <a href="http://www.tacoma.uw.edu/campus-map/tioga-library-building">TLB 307C</a><br />
Phone: 253-692-4806<br /><br />
<strong>Mailing Address:</strong><br />
Box 358426, 1900 Commerce St,<br />
Tacoma, WA 98402<br />
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<div class="menu-item"><a href="Research.html">Research</a></div>
<div class="menu-item"><a href="Publications.html">Publications</a></div>
<div class="menu-item"><a href="Grants_and_Awards.html">Grants and Awards</a></div>
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<h1>Publications</h1>
<h2>Journal</h2>
<ol>
<li><span class="publication_title">Exploration and Integration of Big Data in Clinical Risk Prediction</span>, Kiyana Zolfaghar, Naren Meadem, Ankur Teredesai, Senjuti Basu Roy, Si-Chi Chin, Journal of the American Medical Informatics Association (JAMIA) Special Issue on Big Data in Healthcare and Biomedical Research 2013. (under review)</li>
<li><span class="publication_title">Dimensionality Reduction Phenomenon-aware Stream Query Processing</span>, Ashish Bindra, Mohamed Ali, Ankur Teredesai, International Journal of Data Engineering (IJDE), Volume 3, Issue 3 / 2012.</li>
<li><span class="publication_title">Trust- and Distrust-Based Recommendations for Controversial Reviews
</span>, P. Victor, C. Cornelis, M. De Cock, A. Teredesai,
IEEE Intelligent Systems 26(1), pp. 48-55, 2011. (ISI 2010 impact factor: 2.57)</li>
<li><span class="publication_title">Key Figure Impact in Trust-Enhanced Recommender Systems</span>, Patricia Victor, Chris Cornelis, Martine De Cock, Ankur M. Teredesai, AI Communications, Volume 21, Number 2-3/ 2008. (ISI impact factor: 0.57)</li>
<li><span class="publication_title">A Pervasive Computing Curriculum for Engineering and Science Students</span>, F. Hu and A. Teredesai, IEEE Pervasive Computing, Vol 6, Issue 1, 88-91, 2007. (ISI impact factor: 2.062)</li>
<li><span class="publication_title">CoMMA: A Framework for Integrated Multimedia Mining using Multi-relational Associations</span>, A. Teredesai, R. Gaborski, J. Kanodia, and M. Ahmad, Journal of Knowledge and Information Systems (KAIS), Vol 10(2): 135-162, 2006. (ISI impact factor: 0.833)</li>
<li><span class="publication_title">Secondary Classification using Genetic Programming</span>, A. Teredesai and V. Govindaraju, Journal of Pattern Recognition 38(4): 505-512, April 2005. (ISI impact factor: 1.822)</li>
</ol>
<h2>Book Chapters</h2>
<ol>
<li><span class="publication_title">Evaluation of Classifiers</span>, Ankur Teredesai and Nele Verbiest, Data Classification: Algorithms and Applications, CRC press. 633-656, Charu Aggarwal</li>
<li><span class="publication_title">Forward by A. Teredesai, Trust Networks for Recommender Systems</span>. P. Victor, C. Cornelis, M. De Cock, Atlantis Press, 2011.</li>
<li><span class="publication_title">Cognitively Motivated Novelty Detection in Video Data Streams</span>, J. Kang, M. Ahmad, A. Teredesai, and R. Gaborski. Multimedia Data Mining and Knowledge Discovery, Springer Publishers. Valery A. Petrushin and Latifur Khan (Eds.), pg. 209-233, December 2006.</li>
</ol>
<h2>Patents</h2>
<ol>
<li><span class="publication_title">Apparatus and Method for Distributed In-Database Look-Alike Modeling for Audience Segmentation</span>, Ashish Bindra, Ankur Teredesai, Sreenivasulu Pokuri, Krishna Uppala, U.S. Patent Application Serial Number 13/923,291.</li>
<li><span class="publication_title">Augmented Audience Lift Measure for Consumer Intelligence</span>, Archana Ramesh, Ankur Teredesai, Ashish Bindra, Sreenivasulu Pokuri, Ramesh Pabbati, Krishna Uppala, U.S. Provisional Patent Application No. 61/778,280.</li>
<li><span class="publication_title">Distributed In-Database K-Means Clustering for Audience segment Expansion</span>, Archana Ramesh, Ankur Teredesai, Ashish Bindra, Sreenivasulu Pokuri, Krishna Uppala, U.S. Provisional Patent Application No. 61/778,275.</li>
<li><span class="publication_title">Real Time Conversion Tracking, Reporting, and Multi Data Provider Segment Insights</span>, Ankur Teredesai, Fadi Obeid, Krishna Uppala, Mahmoud Alnahlawi, Bassel Ojjeh, Valter Sciarrillo, Tim Jones, Ramesh Pabbati, U.S. Provisional Patent Application No. 61/724,855.</li>
<li><span class="publication_title">Real Time Efficient Segment Classification for Online Audience Intelligence</span>, Ashish Bindra, Fadi Obeid, Dave Taniguchi, Ankur Teredesai, Krishna Uppala, U.S. Provisional Patent Application No. 61/679,020.</li>
</ol>
<h2>Research Panels</h2>
<ol>
<li><span class="publication_title">How can Big Data bring out Deep Knowledge?</span>, Bharat Rao (Siemens Healthcare), Vivekanand Gopalkrishnan (Deloitte), Charles Parker (BigML), Ankur Teredesai (University of Washington Tacoma), Anjan Goswami (eBay and UC Davis), KDD 2012, Beijing, China, August 2012.</li>
<li><span class="publication_title">What’s in a Link</span>, Lada Adamic (Moderator), Ankur Teredesai, and Bernie Hogan, Microsoft Faculty Summit, July 2008.</li>
<li><span class="publication_title">Challenges and Trends: Intelligent Environments and Wireless Sensor Applications</span>, Sajid Hussain (Moderator), Ankur Teredesai, Peter Graham, Alexandru Coman, First IEEE International Workshop on Intelligent Systems Techniques for Wireless Sensor Networks, organized in conjunction with the Third IEEE International Conference on Mobile Ad-hoc and Sensor Systems, MASS'06, Vancouver, Canada, October 9, 2006.</li>
</ol>
<h2>Peer-Reviewed Publications (Conferences and Workshops organized by year)</h2>
<ol>
<h3>2014</h3>
<li><span class="publication_title">Selecting Robust Strategies in RTS Games via Concurrent Plan Augmentation</span>. Abdelrahman Elogeel, Andrey Kolobov, Ankur Teredesai, Mathew Alden, 14th International Conference on Autonomous Agents & Multiagent Systems 2015.
<li><span class="publication_title"> HealthSCOPE: An Interactive Distributed Data Mining Framework for Scalable Prediction of Healthcare Costs </span>, Marquardt James, Newman Stacey, Hattarki Deepa, Srinivasan Rajagopalan, Sushmita Shanu, Ram Prabhu, Prasad Viren, Hazel David, Ramesh Archana, De Cock Martine, Teredesai Ankur, IEEE Data Mining Conference Demo Track, 2014 IEEE International Conference on DOI: 10.1109/ICDMW.2014.45 Publication Year: 2014 , Page(s): 1227 - 1230</li>
<li><span class="publication_title">A Framework to Recommend Interventions for 30-Day Heart Failure Readmission Risk</span>, Rui Liu, Kiyana Zolfaghar, SC Chin, Senjuti Basu Roy, Ankur Teredesai, Data Mining (ICDM), 2014 IEEE International Conference on DOI: 10.1109/ICDM.2014.89 Publication Year: 2014 , Page(s): 911 - 916</li>
<li><span class="publication_title"> Road network compression techniques in spatiotemporal embedded systems: a survey</span>, Amruta Khot, Abdeltawab Hendawi, Anderson Nascimento, Raj Katti, Ankur Teredesai, and Mohamed Ali. In Proceedings of the 5th ACM SIGSPATIAL International Workshop on GeoStreaming (IWGS '14), Chengyang Zhang, Anas Basalamah, and Abdeltawab Hendawi (Eds.). ACM, New York, NY, USA, 33-36. DOI=10.1145/2676552.2676645 http://doi.acm.org/10.1145/2676552.2676645 </li>
<li><span class="publication_title">Computing fuzzy rough approximations in large scale information systems.</span>Hasan Asfoor, Rajagopalan Srinivasan, Gayathri Vasudevan, Nele Verbiest, Chris Cornelis, Matthew E. Tolentino, Ankur Teredesai, Martine De Cock: BigData Conference 2014: 9-16</li>
<li><span class="publication_title">Divide-n-Discover - Discretization based Data Exploration Framework for Healthcare Analytics</span>. Si-Chi Chin, Kiyana Zolfaghar, Senjuti Basu Roy, Ankur Teredesai, Paul Amoroso: HEALTHINF 2014: 329-333</li>
<li><span class="publication_title">Age and Gender Identification in Social Media. </span> James Marquardt, Golnoosh Farnadi, Gayathri Vasudevan, Marie-Francine Moens, Sergio Davalos, Ankur Teredesai, Martine De Cock, CLEF (Working Notes) 2014: 1129-1136</li>
<li><span class="publication_title">Readmission Score as a Service(RaaS)</span>, Vivek Rao, Kiyana Zolfaghar, Vani Mandava, Senjuti Basu Roy, Ankur Teredesai, Data Science for Social Good, in conjunction with KDD 2014.</li>
<li><span class="publication_title">Divide-n-Discover : Discretization based Data Exploration Framework for Healthcare Analytics</span>, Si-chi Chin, Kiyana Zolfaghar, Senjuti Basu Roy, Ankur Teredesai, Paul Amoroso, HealthInf 2014.</li>
<li><span class="publication_title">Minimizing Makespan and Total Completion Time in MapReduce-like Systems</span>, Yuqing Zhu, Yiwei Jiang, Weili Wu, Ling Ding, Ankur Teredesai, Deying Li, and Wonjun Lee, IEEE INFOCOM 2014 (accepted full paper – 19.4%).</li>
<li><span class="publication_title">Visualization in Educational Datasets Using a Rule-Based Inference System</span>. Aniruddha Desai, Muaz Mian, David Hazel, Ankur Teredesai, Gregory Benner: Data BigData Congress 2014: 462-469</li>
<li><span class="publication_title">Work in Progress - In-Memory Analysis for Healthcare Big Data</span>. Muaz Mian, Ankur Teredesai, David Hazel, Sreenivasulu Pokuri, Krishna Uppala BigData Congress 2014: 778-779</li>
<h3>2013</h3>
<li><span class="publication_title">Big Data Solutions for Predicting Risk-of-Readmission for Congestive Heart Failure Patients</span>, Kiyana Zolfaghar, Naren Meadem, Ankur Teredesai, Senjuti Basu Roy, Si-Chi Chin, Brian Muckian, BigData'13, Big Data in Bioinformatics and Health Informatics.</li>
<li><span class="publication_title">ChronoZoom: Travel Through Time for Education, Information, and Information Technology Research</span>, Bob Walter, Ankur Teredesai, Ling Ding, Joel Larson, Yitao Li, Charu Chandiram, et al., SIGITE/RIIT 2013, October 2013, Orlando, Fl.</li>
<li><span class="publication_title">Predicting Risk-of-Readmission of the Congestive Heart Failure Patients</span>, Jayshree Agarwal, Kiyana Zolfaghar, Si-Chi Chin, Senjuti Basu-Roy, Ankur Teredesai, ACM SIGKDD Workshop on Data Mining in Healthcare DMH 2013, August 2013.</li>
<li><span class="publication_title">Audience Segment Expansion Using Distributed In-Database K-Means Clustering</span>, Archana Ramesh, Ankur Teredesai, Ashish Bindra, Sreenivasulu Pokuri, Krishna Uppala, ACM SIGKDD Workshop on Advertising KDD,ADKDD 2013, August 2013.</li>
<li><span class="publication_title">Risk-O-Meter: An Intelligent Clinical Risk Calculator</span>, Kiyana Zolfaghar, Jayshree Agarwal, Deepthi Sistla, Si-Chi Chin, Senjuti Basu Roy, Nele Verbiest, Ankur Teredesai, David Hazel, Paul Amoroso, Lester Reed, ACM SIGKDD 2013 – Selected for Demonstration, August 2013.</li>
<li><span class="publication_title">Exploring Preprocessing Techniques for Prediction of Risk of Readmission for Congestive Heart Failure Patients</span>, Naren Meadem, Nele Verbiest, Kiyana Zolfaghar, Jayshree Agarwal, Si-chi Chin, Senjuti Basu Roy, Ankur Teredesai, Data Mining in Healthcare, in conjunction with KDD 2013</li>
<li><span class="publication_title">Predicting Risk-of-Readmission for Congestive Heart Failure Patients: A Multi-Layer Approach</span>, Kiyana Zolfaghar, Nele Verbiest, Jayshree Agarwal, Naren Meadem, Si-Chi Chin, Senjuti Basu Roy, Ankur Teredesai, David Hazel, Paul Amoroso, Lester Reed, American Medical Informatics Association (AMIA) Conference 2013, November 2013.</li>
<li><span class="publication_title">Finding Approachable Experts in Social Network</span>, Swapna Savvana, Senjuti Basu Roy, Vani Mandava, and Ankur Teredesai, IEEE International Conference on Big Data 2013.</li>
<h3>2012</h3>
<li><span class="publication_title">Discovering meaningful cut-points to predict high HbA1c variation</span>, S.-C. Chin, W. N. Street, and Ankur Teredesai, 7th INFORMS Workshop on Data Mining and Health Informatics, Phoenix, AZ, 2012.</li>
<li><span class="publication_title">Distributed Big Advertiser Data Mining</span>, Ashish Bindra , Sreenivasulu Pokuri, Krishna Uppala, Ankur Teredesai, (Industry track) IEEE International Conference on Data Mining 2012 (IEEE-ICDM)Brussels, December 2012.</li>
<li><span class="publication_title">Map-Matching as a problem for the 1st ACM SIGSPATIAL CUP</span>, Mohamed Ali, Travis Rautman, John Krumm, Ankur Teredesai, Proceedings of the 20th ACM SIGSPATIAL Conference on Advanced in Geographic Information Systems (GIS), Redondo Beach, November 2012.</li>
<li><span class="publication_title">Dietary Intake Assessment using Integrated Sensors and Software</span>, Junqing Shang, Eric Pepin, Eric Johnson, Ankur Teredesai, Alan Kristal, and Alexander Mamishev, Proceedings of IS&T/SPIE Electronic Imaging Conference, SPIE Volume 8304A 2012.</li>
<h3>2011</h3>
<li><span class="publication_title">An Extensibility Approach for Spatio-temporal Stream Processing using Microsoft StreamInsight</span>, Jeremiah Miller, Miles Raymond, Josh Archer, Seid Adem, Leo Hansel, Sushma Konda, Malik Luti, Yao Zhao, Ankur Teredesai and Mohamed Ali, Demo Track at 10th International Symposium on Spatial and Temporal Databases 2011, Minneapolis, August 2011.</li>
<li><span class="publication_title">A Pervasive Dietary Data Recording System</span>, Junqing Shang, Kishore Sundara-Rajan, Levi Lindsey, Alexander V. Mamishev, Eric Johnson, Ankur Teredesai, Alan Kristal, IEEE International Conference on Pervasive Computing, PerCom Demo Track, March 2011.</li>
<h3>2010</h3>
<li><span class="publication_title">Ranking in Microblog Search</span>, Rinkesh Nagmoti, Ankur Teredesai and Martine De Cock, 2010 IEEE/WIC/ACM International Conference on Web Intelligence (WI-10) August 31 - September 3, 2010, York University, Toronto, Canada.</li>
<li><span class="publication_title">Born to Trade: a Genetically Evolved Keyword Bidder for Sponsored Search</span>, Michael Munsey, Jonathan Veilleux, Sindhura Bikkani, Ankur Teredesai, and Martine De Cock, Congress for Evolutionary Computing 2010 (CEC 2010), Barcelona, Spain, July, 2010.</li>
<li><span class="publication_title">A RapidMiner Framework for Protein Interaction Extraction</span>,
T. Fayruzov, G. Dittmar, N. Spence, M. De Cock, A. Teredesai
in: Proceedings of RCOMM2010 (RapidMiner Community Meeting), p.58-63, 2010.</li>
<h3>2009</h3>
<li><span class="publication_title">Multi-dimensional Phenomenon-aware Stream Query Processing</span>, Ashish Bindra, Ankur Teredesai, Mohamed Ali, and Walid Aref, ACM SIGSPATIAL GIS 2009 (short paper), Bellevue, WA, Nov 2009. (Best short paper award)</li>
<li><span class="publication_title">Maximizing Ridesharing matches for Dynamic Carpooling</span>, David Thaler and Ankur Teredesai, Intelligent Environments 2009, Barcelona, Spain, July 20-21, 2009.</li>
<li><span class="publication_title">An Evolved Fuzzy Logic System for Fire Size Prediction</span>, Alan Fowler, Martine De Cock and Ankur Teredesai, The 28th North American Fuzzy Information Processing Society Annual Conference, June 14-17th, 2009, Cincinnati, OH.</li>
<li><span class="publication_title">A Comparative Analysis of Trust-Enhanced Recommenders for Controversial Items</span>, P Victor, C Cornelius, M De Cock, A Teredesai, Third International Conference on Weblogs and Social Media (ICWSM 2009), May 2009, San Jose, CA. (Acceptance Rate 20%)</li>
<li><span class="publication_title">Trust and Distrust based Recommendations for Controversial Items</span>, P Victor, C Cornelius, M De Cock, and A Teredesai, Web Science 09, March 2009, Athens, Greece. (Acceptance Rate 20%)</li>
<h3>2008</h3>
<li><span class="publication_title">Getting Cold Start Users Connected in a Recommender System’s Trust Network</span>, P Victor, C Cornelius, M De Cock, and A Teredesai, The 8th International FLINS Conference on Computational Intelligence in Decision and Control, Sept 2008, Madrid, Spain. (Acceptance Rate 33%)</li>
<li><span class="publication_title">Whom Should I Trust? The Impact of Key Figures on Cold Start Recommendations</span>, P Victor, C Cornelius, A Teredesai and M De Cock, ACM 2008 Symposium on Applied Computing (SAC), March 2008, Fortaleza, Brazil. (Acceptance Rate 30%)</li>
<h3>2007</h3>
<li><span class="publication_title">GPSENSE: An Algorithmic Framework for Intelligent Sensing at Node Level in WSN</span>, S Soni and A. Teredesai, Proceedings of the International Symposium on Data, Information & Knowledge Spectrum, Dec 13 - 15, 2007, Kerala, India. (Acceptance Rate 28%)</li>
<h3>2006</h3>
<li><span class="publication_title">Modeling Proliferation of Ideas in Online Social Networks</span>, M. Ahmad and A. Teredesai, Proceedings of the 5th Australasian Data Mining Conference, November 29-30 2006, in conjunction with the 19th Australian Joint Conference on Artificial Intelligence, Sydney, Australia. (Oral presentation- acceptance Rate 24%)</li>
<li><span class="publication_title">Towards Enhancing Undergraduate Pervasive Computing Skills: An Innovative Multi-Disciplinary Approach</span>, F. Hu and A. Teredesai, International Conference on Engineering Education (ICEE) (peer-reviewed abstract), July 23-28 2006, San Juan, Puerto Rice, USA. (Acceptance Rate 40%)</li>
<li><span class="publication_title">SoNEA: Sensing Online Novelty Using Event Archives</span>, A. Teredesai and Yuan-Feng Zhu, First IEEE International Workshop on Intelligent Systems Techniques for Wireless Sensor Networks, October 2006, Vancouver, BC, Canada. (Acceptance Rate 25%)</li>
<li><span class="publication_title">AquaGP: Approximate Query Processing using Genetic Programming</span>, J. Peltzer, A. Teredesai, and G. Reinard, European Conference on Genetic Programming (EuroGP06), Budapest, Hungary, April 2006. (Acceptance Rate 35%)</li>
<h3>2005</h3>
<li><span class="publication_title">Revisiting the Connectionist vs. Classicist Debate using Image Annotation as a Paradigm for Critique</span>, M. Ahmad and A. Teredesai, 3rd International Conference on Philosophical Foundations of Artificial Intelligence, Berlin, Germany, March 2005. (Acceptance rate 30%)</li>
<li><span class="publication_title">Timing-controlled Data Query in Wireless Sensor Networks: Towards A Cross-layer Optimization Approach</span>, F. Hu, A. Teredesai, and H. Wu, IEEE International Conference On Networking, Sensing and Control, ICNSC 05, March 2005. (Acceptance Rate 47%)</li>
<li><span class="publication_title">Genetic Programming in Wireless Sensor Networks</span>, D. Johnson, A. Teredesai and R. Saltarelli, European Conference on Genetic Programming EuroGP 2005, Lausanne, Switzerland, April 2005. (Acceptance Rate 31%)</li>
<li><span class="publication_title">Portable Image Archiving: Annotation, Search and Data Retrieval</span>, V. Misic, J. Kang, A. Teredesai and J. Sissel, IS&T Archiving Conference, 114-118, Washington, DC., April, 2005. (Acceptance Rate 70%)</li>
<h3>2004</h3>
<li><span class="publication_title">Combing Multimedia Multi-relational Associations</span>, A. Teredesai, J. Kanodia, M. Ahmad and R. Gaborski, 7th ACM SIGKDD Workshop on Multimedia Data Mining, Seattle, WA, USA, August 2004. (Track Acceptance Rate 12%) (ISI conference impact factor 1.28)</li>
<li><span class="publication_title">Extracting Social Networks from Instant Messaging Populations</span>, J. Resig, S. Dawara, C. M. Homan, and A. Teredesai, Proceedings of the 7th ACM SIGKDD Workshop on Link KDD, August 2004. (Track Acceptance Rate 20%) (ISI conference impact factor 1.28)</li>
<li><span class="publication_title">Issues in Evolving GP based Classifiers for a Pattern Recognition Task</span>, A. Teredesai, Congress for Evolutionary Computation 04 (CEC 04), Portland, OR, June 2004. (Acceptance Rate 70%)</li>
<li><span class="publication_title">A Framework for Mining Instant Messaging Forests</span>, A. Teredesai, and J. Resig, Workshop on Link Analysis, Counter-terrorism, and Privacy at the Fourth SIAM International Conference on Data Mining (SDM 2004), FL, April 2004.</li>
<li><span class="publication_title">VENUS: A System for Novelty Detection in Video Streams with Learning</span>, R. Gaborski, A. Teredesai, V. Vaingankar, V. Chaoji, A. Tentler, Proceedings of the 17th International FLAIRS Conference, South Beach, FL, 2004. (Acceptance rate 49%)</li>
<li><span class="publication_title">Detection of Inconsistent regions in video streams</span>, R. Gaborski, V. Vaingankar, A. Teredesai, V. Chaoji, Proceedings of the SPIE Electronic Imaging: Human Vision and Electronic Imaging IX Conference, San Jose, California 2004.</li>
<h3>2003</h3>
<li><span class="publication_title">Cognitively Motivated Habituation for Novelty Detection in Video</span>, V. Vaingankar, V. Chaoji, R. Gaborski, and A. Teredesai, Proceedings of the Seventeenth Annual Conference in Neural Information Processing Systems (NIPS 03) Open Problems in Cognitively Motivated Vision, December 2003, Whistler B.C., Canada. (Acceptance rate regular paper 27%)</li>
<h3>2002</h3>
<li><span class="publication_title">Recurrent Genetic Programming</span>, A. Teredesai, V. Govindaraju, E. Ratzlaf, and J. Subrahmonia, IEEE Conference on Systems, Man and Cybernetics 2002, October, 2002, Hammamet, Morocco. (Acceptance Rate 70%)</li>
<li><span class="publication_title">On-Line Digit Recognition using Off-Line Features</span>, A. Teredesai, E. Ratzlaf, J. Subrahmonia, V. Govindaraju, Indian Conference on Computer Vision, Graphics and Image Processing, Ahmadabad, India. December 2002.</li>
<h3>2001</h3>
<li><span class="publication_title">Active Digit Classifiers: A Separability Optimization Approach to Emulate Cognition</span>, A. Teredesai, and V. Govindaraju, Sixth International Conference on Document Analysis and Recognition (ICDAR01), Seattle, September 2001. (Acceptance rate 48%)</li>
<li><span class="publication_title">Active Handwritten Character Recognition using Genetic Programming</span>, A. Teredesai, J. Park and V. Govindaraju, European Conference on Genetic Programming (EuroGP01), Como Italy, April 2001. (Acceptance Rate 43%)</li>
<li><span class="publication_title">Secondary Classification using Key Features</span>, A. Teredesai, Z. Shi, and V. Govindaraju, SPIE01: Document Recognition and Retrieval VIII, Proceedings of the SPIE, San Jose, CA, January 2001.</li>
<h2>Regional Workshops (peer-reviewed)</h2>
<li><span class="publication_title">Image Search, Retrieval and Visualization in CoMMA</span>, with M. Ahmad and J. Kanodia, Conference on Computing and Information Sciences (CCIS), Rochester, NY, January 2005.</li>
<li><span class="publication_title">Intelligent Event Detection in Sensor Networks</span>, A. Teredesai, Y. Zhu, 1st IEEE Upstate NY Workshop on Wireless Communication and Networking, Rochester, November 2004</li>
<li><span class="publication_title">MAC-level Upstream (Sensor-to-Sink) QoS Support For Reliable Wireless Sensor Networks</span>, F. Hu, A. Teredesai, and S. Kumar, 3rd IEEE Upstate NY Sensor Network Workshop, Syracuse, NY, October 2004.</li>
<li><span class="publication_title">Quality of Query Measures in Sensor Networks</span>, A. Teredesai and Chung-Liang Clark Hsu, 3rd IEEE Upstate NY Sensor Network Workshop, Syracuse, NY, October 2004.</li>
<li><span class="publication_title">Event Detection in Video Sequences of Natural Scenes</span>, A. Tentler, V. Vaingankar, R. Gaborski, A. Teredesai, IEEE Western New York Image Processing Workshop, October 2003, Rochester, NY.</li>
<li><span class="publication_title">Feature Extraction and Classification in Machine Printed Korean OCR</span>, D. Hollinger, P. Anderson, R. Gaborski, A. Teredesai, IEEE Western New York Image Processing Workshop, October 2003, Rochester, NY.</li>
</ol>
<h2>Abstracts and Editorials</h2>
<ol>
<li><span class="publication_title">Augmenting Microblog Search with Social Authority Ranking</span>, R. Nagmoti, A. Teredesai, M. De Cock in: ISNA2010 (30th International Sunbelt Social Network Conference), July 2010 (extended abstract)</li>
<li><span class="publication_title">PRISE - a PRotein Interaction Search Engine</span>, T. Fayruzov, M. De Cock, C. Cornelis, V. Hoste, R. Hill, S. Lynch, A. Teredesai in: LTCI2009 (Third AUGent Workshop on Language Technology and Computational Intelligence), 2009</li>
</ol>
<h2>Technical Reports</h2>
<ol>
<li><span class="publication_title">Auto-Indexing WebPages using Common Nodes in Decision Trees</span>, A. Teredesai, and S. Sharma, RIT LAC Technical Report. January 2003.</li>
<li><span class="publication_title">Constraint Based Frequent Itemset Mining of Web Access Logs</span>, A. Teredesai, and F. Sultan, RIT LAC Technical Report. December 2002.</li>
<li><span class="publication_title">Co-Training with SVM and Naïve Bayes Classifiers</span>, A. Teredesai, V. Chaoji, S. Dawara, and R. Gaborski, RIT LAC Technical Report. October 2002.</li>
</ol>
<h2>Technology and Outreach Panels</h2>
<ol>
<li><span class="publication_title">Cloud Computing: The Next Technology Revolution</span>, A. Teredesai, Mike Marzano, Aaron Kimbell (moderator), South Sound Technology Conference, November 2008.</li>
<li><span class="publication_title">Symbiosis of Globalization and Technology</span>, A. Teredesai (organizer), Andrew Fry (moderator), George Mobus, Samir Manjure, Nitin Ahuja, Lewis McMurran, ACM Panel Discussion on Computers, Society and Ethics, October 2008.</li>
<li><span class="publication_title">Why Software Engineers Have the Best Job in the U.S.</span>, A. Teredesai (moderator), Career Discovery Week, UW Tacoma, January 2008.</li>
<li><span class="publication_title">How Non-Profits Use Current Technology</span>, A. Teredesai (moderator), ACM Panel Discussion on Computers, Society and Ethics, Tacoma, March 2007.</li>
</ol>
<h2>Research Software Contributions and Community Contributed Artifacts</h2>
<ol>
<li><span class="publication_title">Congestive Heart Failure Risk of Rehospitalization Predictive Modeling Tool</span>, Developed at the Center for Web and Data Science, University of Washington, in collaboration with Multicare Health System. Under deployment to be used by clinicians for improving quality of care for Multicare Patients.</li>
<li><span class="publication_title">Handwritten Zip-Code Recognizers</span>, Developed at Center for Excellence in Document Analysis and Recognition (CEDAR-SUNY Buffalo) and the United States Postal Service. Used by the USPS for zip-code recognition of millions of handwritten mail-pieces everyday.</li>
<li><span class="publication_title">Individuality of Handwriting</span>. Developed tools to statistically validate the Individuality of Handwriting at Center for Excellence in Document Analysis and Recognition (CEDAR-SUNY Buffalo) in sponsorship from the National Institutes of Justice (NIJ).</li>
<li><span class="publication_title">Active Genetic Programming for N-Way Binary Classification</span>, Available in a GP plugin for WEKA Machine Learning Toolkit used widely by the machine learning and data mining community.</li>
<li><span class="publication_title">Grouping Related Attributes</span>, Public domain software module used by the data mining research community to perform co-clustering and grouping of relevant features for feature selection and dimensionality reduction.</li>
</ol>
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