Javed A. Aslam
Publications, Categorized
Category
Information Retrieval
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An Empirical Study of Skip-gram Features and Regularization for Learning on Sentiment Analysis
In Advances in Information Retrieval: 38th European Conference on IR Research (ECIR), pages 72-87. Lecture Notes in Computer Science, Vol. 9626. Springer, March 2016.
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TREC 2015 Temporal Summarization Track
In Proceedings of the Twenty-Fourth Text REtrieval Conference (TREC 2015). National Institute of Standards and Technology, 2015. NIST Special Publication SP 500-319.
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Aggregation of Crowdsourced Ordinal Assessments and Integration with Learning to Rank: A Latent Trait Model
In Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM), pages 1391-1400. ACM Press, October 2015.
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TREC 2014 Temporal Summarization Track
In Proceedings of the Twenty-Third Text REtrieval Conference (TREC 2014). National Institute of Standards and Technology, 2014. NIST Special Publication SP 500-308.
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On the Information Difference Between Standard Retrieval Models
In Proceedings of the 37th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 1135-1138. ACM Press, July 2014.
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Increasing Evaluation Sensitivity to Diversity
Information Retrieval, 16(4):530-555, August 2013.
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An Analysis of Crowd Workers Mistakes for Specific and Complex Relevance Assessment Task
In Proceedings of the 22nd ACM International Conference on Information and Knowledge Management (CIKM), pages 1873-1876. ACM Press, October 2013.
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A Modification of LambdaMART to Handle Noisy Crowdsourced Assessments
In Proceedings of the 4th International Conference on the Theory of Information Retrieval (ICTIR), page 31. ACM Press, September 2013.
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A Mutual Information-based Framework for the Analysis of Information Retrieval Systems
In Proceedings of the 36th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 683-692. ACM Press, July 2013.
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A Document Rating System for Preference Judgements
In Proceedings of the 36th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 909-912. ACM Press, July 2013.
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Live Nuggets Extractor: A Semi-automated System for Text Extraction and Test Collection Creation
In Proceedings of the 36th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 1087-1088. ACM Press, July 2013.
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Optimizing nDCG Gains by Minimizing Effect of Label Inconsistency
In Advances in Information Retrieval: 35th European Conference on IR Research (ECIR), pages 760-763. Lecture Notes in Computer Science, Vol. 7814. Springer-Verlag, March 2013.
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Constructing Test Collections by Inferring Document Relevance via Extracted Relevant Information
In Proceedings of the 21st ACM Conference on Information and Knowledge Management (CIKM), pages 145-154. ACM Press, October 2012.
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Impact of Assessor Disagreement on Ranking Performance
In Proceedings of the 35th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 1091-1092. ACM Press, August 2012.
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Frontiers, Challenges, and Opportunities for Information Retrieval
ACM SIGIR Forum, 46(1):2-32, June 2012. ACM Press. Report from SWIRL 2012, The Second Strategic Workshop on Information Retrieval in Lorne.
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Extended Expectation Maximization for Inferring Score Distributions
In Advances in Information Retrieval: 34th European Conference on IR Research (ECIR), pages 293-304. Lecture Notes in Computer Science, Vol. 7224. Springer-Verlag, April 2012.
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IR System Evaluation using Nugget-based Test Collections
In Proceedings of the Fifth ACM International Conference on Web Search and Data Mining (WSDM), pages 393-402. ACM Press, February 2012.
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A Nugget-based Test Collection Construction Paradigm
In Proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM), pages 1945-1948. ACM Press, October 2011.
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A Large-scale Study of the Effect of Training Set Characteristics over Learning-to-rank Algorithms
In Proceedings of the 34th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 1243-1244. ACM Press, July 2011.
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Constructing Collections for Learning to Rank
In Proceedings of the 11th Dutch-Belgian Information Retrieval Workshop (DIR), pages 62-63. February 2011.
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Variational Bayes for Modeling Score Distributions
Information Retrieval, 14(1):47-67, 2011.
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Score Distribution Models: Assumptions, Intuition, and Robustness to Score Manipulation
In Proceedings of the 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 242-249. ACM Press, July 2010.
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Implementing and Evaluating Phrasal Query Suggestions for Proximity Search
Information Systems, 34(8):711-723, December 2009.
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Empirical Justification of the Gain and Discount Function for nDCG
In Proceedings of the Eighteenth ACM Conference on Information and Knowledge Management (CIKM), pages 611-620. ACM Press, November 2009.
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Modeling the Score Distributions of Relevant and Non-relevant Documents
In Proceedings of the 3rd International Conference on Theory in Information Retrieval (ICTIR), pages 152-163. Lecture Notes in Computer Science, Vol. 5766. Springer, September 2009.
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Document Selection Methodologies for Efficient and Effective Learning-to-rank
In Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 468-475. ACM Press, July 2009.
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If I Had a Million Queries
In Advances in Information Retrieval: 31st European Conference on IR Research (ECIR), pages 288-300. Lecture Notes in Computer Science, Vol. 5478. Springer-Verlag, April 2009.
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Million Query Track 2007 Overview
In The Sixteenth Text REtrieval Conference Proceedings (TREC 2007), pages 85-104. National Institute of Standards and Technology, December 2008. NIST Special Publication SP 500-274.
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The Hedge Algorithm for Metasearch at TREC 2007
In The Sixteenth Text REtrieval Conference Proceedings (TREC 2007). National Institute of Standards and Technology, December 2008. NIST Special Publication SP 500-274.
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Estimating Average Precision When Judgments are Incomplete
Knowledge and Information Systems, 16(2):173-211, August 2008.
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Evaluation Over Thousands of Queries
In Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 651-658. ACM Press, July 2008.
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A New Rank Correlation Coefficient for Information Retrieval
In Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 587-594. ACM Press, July 2008.
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A Simple and Efficient Sampling Method for Estimating AP and NDCG
In Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 603-610. ACM Press, July 2008.
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Empirical Justification of the Discount Function for nDCG [abstract]
In Proceedings of the SIGIR 2008 Workshop: Beyond Binary Relevance: Preferences, Diversity and Set-Level Judgments, page 6. July 2008.
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Inferring Document Relevance from Incomplete Information
In Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management (CIKM), pages 633-642. ACM Press, November 2007.
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Evaluation of Phrasal Query Suggestions
In Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management (CIKM), pages 841-848. ACM Press, November 2007.
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The Hedge Algorithm for Metasearch at TREC 2006
In The Fifteenth Text REtrieval Conference Proceedings (TREC 2006). National Institute of Standards and Technology, September 2007. NIST Special Publication SP 500-272.
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Query Hardness Estimation Using Jensen-Shannon Divergence Among Multiple Scoring Functions
In Advances in Information Retrieval: 29th European Conference on IR Research (ECIR), pages 198-209. Lecture Notes in Computer Science, Vol. 4425. Springer-Verlag, April 2007.
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Estimating Average Precision with Incomplete and Imperfect Judgments
In Proceedings of the Fifteenth ACM International Conference on Information and Knowledge Management (CIKM), pages 102-111. ACM Press, November 2006.
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A Statistical Method for System Evaluation Using Incomplete Judgments
In Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 541-548. ACM Press, August 2006.
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Inferring Document Relevance via Average Precision
In Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 601-602. ACM Press, August 2006.
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The Star Clustering Algorithm for Information Organization
In Grouping Multidimensional Data: Recent Advances in Clustering, pages 1-23. Springer, January 2006.
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A Geometric Interpretation and Analysis of R-precision
In Proceedings of the Fourteenth ACM International Conference on Information and Knowledge Management (CIKM), pages 664-671. ACM Press, October 2005.
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The Maximum Entropy Method for Analyzing Retrieval Measures
In Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 27-34. ACM Press, August 2005.
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A Geometric Interpretation of R-precision and Its Correlation with Average Precision
In Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 573-574. ACM Press, August 2005.
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Measure-based Metasearch
In Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 571-572. ACM Press, August 2005.
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A Sampling Technique for Efficiently Estimating Measures of Query Retrieval Performance Using Incomplete Judgments
In Proceedings of the 22nd ICML Workshop on Learning with Partially Classified Training Data, pages 57-66. August 2005.
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Persistent Queries over Dynamic Text Streams
International Journal of Electronic Business, 3(3/4):288-299, 2005.
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The Star Clustering Algorithm for Static and Dynamic Information Organization
Journal of Graph Algorithms and Applications, 8(1):95-129, 2004.
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A Unified Model for Metasearch, Pooling, and System Evaluation
In Proceedings of the Twelfth International Conference on Information and Knowledge Management (CIKM), pages 484-491. ACM Press, November 2003.
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A Unified Model for Metasearch and the Efficient Evaluation of Retrieval Systems via the Hedge Algorithm
In Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 393-394. ACM Press, July 2003.
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On the Effectiveness of Evaluating Retrieval Systems in the Absence of Relevance Judgments
In Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 361-362. ACM Press, July 2003.
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An Information-theoretic Measure for Document Similarity
In Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 449-450. ACM Press, July 2003.
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Challenges in Information Retrieval and Language Modeling
ACM SIGIR Forum, 37(1):31-47, Spring 2003. ACM Press.
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Condorcet Fusion for Improved Retrieval
In Proceedings of the Eleventh International Conference on Information and Knowledge Management (CIKM), pages 538-548. ACM Press, November 2002.
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Relevance Score Normalization for Metasearch
In Proceedings of the Tenth International Conference on Information and Knowledge Management (CIKM), pages 427-433. ACM Press, November 2001.
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Models for Metasearch
In Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 276-284. ACM Press, September 2001.
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Metasearch Consistency
In Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 386-387. ACM Press, September 2001.
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Using Star Clusters for Filtering
In Proceedings of the Ninth International Conference on Information Knowledge Management (CIKM), pages 306-313. ACM Press, November 2000.
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Information Organization Algorithms
In Proceedings of the International Conference on Advances in Infrastructure for Electronic Business, Science, and Education on the Internet (SSGRR). July 2000.
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Bayes Optimal Metasearch: A Probabilistic Model for Combining the Results of Multiple Retrieval Systems
In Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 379-381. ACM Press, July 2000.
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Scalable Information Organization
In Proceedings of the Conference on Content-Based Multimedia Information Access (RIAO), pages 1033-1042. C.I.D.-C.A.S.I.S., Paris, France. April 2000.
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A Practical Clustering Algorithm for Static and Dynamic Information Organization
In Proceedings of the Tenth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pages 51-60. ACM SIAM, January 1999.
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Static and Dynamic Information Organization with Star Clusters
In Proceedings of the Seventh International Conference on Information and Knowledge Management (CIKM), pages 208-217. ACM Press, November 1998.
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Generating, Visualizing and Evaluating High-Quality Clusters for Information Organization
In Principles of Digital Document Processing: 4th International Workshop (PODDP), pages 53-69. Lecture Notes in Computer Science, Vol. 1481. Springer, 1998.
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Using High-Quality Clusters for Summarizing and Visualizing Large Document Collections
In The 1997 SIGIR Workshop on Summarization and Visualization for IR: Reducing the Information Overload. July 1997.
Machine Learning
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Pure Exploration in Infinitely-Armed Bandit Models with Fixed-Confidence
In Proceedings of the 29th International Conference on Algorithmic Learning Theory (ALT), pages 3-24. Proceedings of Machine Learning Research, Vol. 83. PMLR, April 2018.
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Conditional Bernoulli Mixtures for Multi-label Classification
In Proceedings of the 33rd International Conference on Machine Learning (ICML), pages 2482-2491. June 2016.
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An Empirical Study of Skip-gram Features and Regularization for Learning on Sentiment Analysis
In Advances in Information Retrieval: 38th European Conference on IR Research (ECIR), pages 72-87. Lecture Notes in Computer Science, Vol. 9626. Springer, March 2016.
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On the Network You Keep: Analyzing Persons of Interest Using Cliqster
Social Network Analysis and Mining, 5(63):1-14, December 2015.
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Aggregation of Crowdsourced Ordinal Assessments and Integration with Learning to Rank: A Latent Trait Model
In Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM), pages 1391-1400. ACM Press, October 2015.
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Anytime Planning of Optimal Schedules for a Mobile Sensing Robot
In Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 5279-5286. IEEE, September 2015.
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Securing Virtual Execution Environments Through Machine Learning-based Intrusion Detection
In Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pages 1-6. IEEE, September 2015.
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The Network You Keep: Analyzing Persons of Interest Using Cliqster
In Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pages 122-129. IEEE, August 2014.
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Harnessing the Power of GPUs to Speed Up Feature Selection for Outlier Detection
Journal of Computer Science and Technology, 29(3):408-422, May 2014.
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GPU-Accelerated Feature Selection for Outlier Detection Using the Local Kernel Density Ratio
In Proceedings of the 12th IEEE International Conference on Data Mining (ICDM), pages 51-60. IEEE Computer Society, December 2012.
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Feature Weighting and Selection Using Hypothesis Margin of Boosting
In Proceedings of the 12th IEEE International Conference on Data Mining (ICDM), pages 41-50. IEEE Computer Society, December 2012.
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Local Kernel Density Ratio-Based Feature Selection for Outlier Detection
Journal of Machine Learning Research - Proceedings Track, 25:49-64, November 2012. Proceedings of the 4th Asian Conference on Machine Learning (ACML).
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City-scale Traffic Estimation From a Roving Sensor Network
In Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems (SenSys), pages 141-154. ACM, November 2012.
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Enhanced Boosting-based Algorithm for Intrusion Detection in Virtual Machine Environments
In Proceedings of the First International Workshop on Secure and Resilient Architectures and Systems (SRAS), pages 13-18. ACM, September 2012.
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Congestion-aware Traffic Routing System using Sensor Data
In Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems (ITSC), pages 1006-1013. IEEE, September 2012.
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Markov-Based Redistribution Policy Model for Future Urban Mobility Networks
In Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems (ITSC), pages 1906-1911. IEEE, September 2012.
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Feature Selection Metric Using AUC Margin for Small Samples and Imbalanced Data Classification Problems
In Proceedings of the Tenth International Conference on Machine Learning and Applications (ICMLA), pages 145-150. IEEE Computer Society, December 2011.
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A Novel Feature Selection for Intrusion Detection in Virtual Machine Environments
In Proceedings of the 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pages 879-881. November 2011.
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Workload Characterization at the Virtualization Layer
In Proceedings of the 19th Annual Meeting of the IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunications Systems (MASCOTS), pages 63-72. July 2011.
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Virtual Machine Monitor-based Lightweight Intrusion Detection
Operating Systems Review, 45(2):38-53, 2011.
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Effective Virtual Machine Monitor Intrusion Detection Using Feature Selection on Highly Imbalanced Data
In Proceedings of the Ninth International Conference on Machine Learning and Applications (ICMLA), pages 823-827. IEEE Press, December 2010.
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Derivation of the Tumor Position from External Respiratory Surrogates with Periodical Updating of the Internal/External Correlation
Physics in Medicine and Biology, 52:5443-5456, September 2007.
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Semi-supervised Data Organization for Interactive Anomaly Analysis
In Proceedings of the Fifth International Conference on Machine Learning and Applications (ICMLA), pages 55-62. IEEE Computer Society Press, December 2006.
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Derivation of the Tumor Position From External Respiratory Surrogates with Periodical Updating of External/Internal Correlation [abstract]
Medical Physics, 33(6):2232-2233, June 2006. Presented at the 48th Annual Meeting of the American Association of Physicists in Medicine (AAPM 2006).
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A Sampling Technique for Efficiently Estimating Measures of Query Retrieval Performance Using Incomplete Judgments
In Proceedings of the 22nd ICML Workshop on Learning with Partially Classified Training Data, pages 57-66. August 2005.
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Improving Algorithms for Boosting
In Proceedings of the Thirteenth Annual Conference on Computational Learning Theory (COLT), pages 200-207. Morgan Kaufmann, July 2000.
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Specification and Simulation of Statistical Query Algorithms for Efficiency and Noise Tolerance
Journal of Computer and System Sciences, 56(2):191-208, April 1998.
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General Bounds on Statistical Query Learning and PAC Learning with Noise via Hypothesis Boosting
Information and Computation, 141(2):85-118, March 1998.
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On the Sample Complexity of Noise-Tolerant Learning
Information Processing Letters, 57(4):189-195, 1996.
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Specification and Simulation of Statistical Query Algorithms for Efficiency and Noise Tolerance
In Proceedings of the Eighth Annual ACM Workshop on Computational Learning Theory (COLT), pages 437-446. ACM Press, July 1995.
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Noise Tolerant Algorithms for Learning and Searching
Laboratory for Computer Science, MIT, Technical Report MIT/LCS/TR-657, February 1995. PhD thesis.
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Improved Noise-Tolerant Learning and Generalized Statistical Queries
Center for Research in Computing Technology, Division of Applied Sciences, Harvard University, Technical Report TR-17-94, July 1994.
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General Bounds on Statistical Query Learning and PAC Learning with Noise via Hypothesis Boosting
In Proceedings of the 34th Annual Symposium on Foundations of Computer Science (FOCS), pages 282-291. IEEE Computer Society Press, November 1993.
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Inferring Graphs from Walks
In Proceedings of the Third Annual Workshop on Computational Learning Theory (COLT), pages 359-370. Morgan Kaufmann, August 1990.
Algorithms and Theory
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On Auditing Elections When Precincts Have Different Sizes
In Proceedings of the 2008 USENIX/ACCURATE Electronic Voting Technology Workshop (EVT). July 2008.
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On Estimating the Size and Confidence of a Statistical Audit
In Proceedings of the 2007 USENIX/ACCURATE Electronic Voting Technology Workshop (EVT). August 2007.
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The Star Clustering Algorithm for Static and Dynamic Information Organization
Journal of Graph Algorithms and Applications, 8(1):95-129, 2004.
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A Lifetime-Optimizing Approach to Routing Messages in Ad-hoc Networks
In Ad Hoc Wireless Networking, pages 1-43. Networking Theory and Applications, Vol. 14. Kluwer Academic Publishers, December 2003.
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Tracking a Moving Object with a Binary Sensor Network
In Proceedings of the First International Conference on Embedded Networked Sensor Systems (SenSys), pages 150-161. ACM Press, November 2003.
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Three Power-aware Routing Algorithms for Sensor Networks
Wireless Communications and Mobile Computing, 3(2):187-208, March 2003.
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Distributed Energy-conserving Routing Protocols
In Proceedings of the Thirty-Sixth Annual Hawaii International Conference on System Sciences (HICSS). IEEE Computer Society Press, January 2003.
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Online Power-aware Routing in Wireless Ad-hoc Networks
In Proceedings of the Seventh Annual International Conference on Mobile Computing and Networking (MOBICOM), pages 97-107. ACM Press, July 2001.
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Hierarchical Power-aware Routing in Sensor Networks
In The DIMACS Workshop on Pervasive Networking. May 2001.
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Clustering Data without Prior Knowledge
In Algorithm Engineering: 4th International Workshop (WAE 2000), pages 74-86. Lecture Notes in Computer Science, Vol. 1982. Springer, 2001.
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Improved Bicriteria Existence Theorems for Scheduling
In Proceedings of the Tenth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pages S846-S847. ACM SIAM, January 1999.
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A Practical Clustering Algorithm for Static and Dynamic Information Organization
In Proceedings of the Tenth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pages 51-60. ACM SIAM, January 1999.
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Noise Tolerant Algorithms for Learning and Searching
Laboratory for Computer Science, MIT, Technical Report MIT/LCS/TR-657, February 1995. PhD thesis.
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On-line Algorithms for 2-Coloring Hypergraphs via Chip Games
Theoretical Computer Science, 112(2):355-369, May 1993.
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Searching in the Presence of Linearly Bounded Errors
In Proceedings of the Twenty-Third Annual ACM Symposium on Theory of Computing (STOC), pages 486-493. ACM Press, May 1991.
Networking and Security
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On the Network You Keep: Analyzing Persons of Interest Using Cliqster
Social Network Analysis and Mining, 5(63):1-14, December 2015.
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Securing Virtual Execution Environments Through Machine Learning-based Intrusion Detection
In Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pages 1-6. IEEE, September 2015.
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The Network You Keep: Analyzing Persons of Interest Using Cliqster
In Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pages 122-129. IEEE, August 2014.
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Harnessing the Power of GPUs to Speed Up Feature Selection for Outlier Detection
Journal of Computer Science and Technology, 29(3):408-422, May 2014.
-
GPU-Accelerated Feature Selection for Outlier Detection Using the Local Kernel Density Ratio
In Proceedings of the 12th IEEE International Conference on Data Mining (ICDM), pages 51-60. IEEE Computer Society, December 2012.
-
Feature Weighting and Selection Using Hypothesis Margin of Boosting
In Proceedings of the 12th IEEE International Conference on Data Mining (ICDM), pages 41-50. IEEE Computer Society, December 2012.
-
Local Kernel Density Ratio-Based Feature Selection for Outlier Detection
Journal of Machine Learning Research - Proceedings Track, 25:49-64, November 2012. Proceedings of the 4th Asian Conference on Machine Learning (ACML).
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Enhanced Boosting-based Algorithm for Intrusion Detection in Virtual Machine Environments
In Proceedings of the First International Workshop on Secure and Resilient Architectures and Systems (SRAS), pages 13-18. ACM, September 2012.
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Securing Cloud Storage Systems Through a Virtual Machine Monitor
In Proceedings of the First International Workshop on Secure and Resilient Architectures and Systems (SRAS), pages 19-24. ACM, September 2012.
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Feature Selection Metric Using AUC Margin for Small Samples and Imbalanced Data Classification Problems
In Proceedings of the Tenth International Conference on Machine Learning and Applications (ICMLA), pages 145-150. IEEE Computer Society, December 2011.
-
A Novel Feature Selection for Intrusion Detection in Virtual Machine Environments
In Proceedings of the 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pages 879-881. November 2011.
-
Workload Characterization at the Virtualization Layer
In Proceedings of the 19th Annual Meeting of the IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunications Systems (MASCOTS), pages 63-72. July 2011.
-
Virtual Machine Monitor-based Lightweight Intrusion Detection
Operating Systems Review, 45(2):38-53, 2011.
-
Effective Virtual Machine Monitor Intrusion Detection Using Feature Selection on Highly Imbalanced Data
In Proceedings of the Ninth International Conference on Machine Learning and Applications (ICMLA), pages 823-827. IEEE Press, December 2010.
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Semi-supervised Data Organization for Interactive Anomaly Analysis
In Proceedings of the Fifth International Conference on Machine Learning and Applications (ICMLA), pages 55-62. IEEE Computer Society Press, December 2006.
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The Kerf Toolkit for Intrusion Analysis
IAnewsletter, 8(2):12-16, Summer 2005.
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The Kerf Toolkit for Intrusion Analysis
IEEE Security & Privacy, 2(6):42-52, November-December 2004.
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Kerf: Machine Learning to Aid Intrusion Analysts
In Proceedings of the 13th USENIX Security Symposium. August 2004. Work-in-progress report.
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A Lifetime-Optimizing Approach to Routing Messages in Ad-hoc Networks
In Ad Hoc Wireless Networking, pages 1-43. Networking Theory and Applications, Vol. 14. Kluwer Academic Publishers, December 2003.
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Tracking a Moving Object with a Binary Sensor Network
In Proceedings of the First International Conference on Embedded Networked Sensor Systems (SenSys), pages 150-161. ACM Press, November 2003.
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The Kerf Toolkit for Intrusion Analysis
In Proceedings of the 2003 IEEE Workshop on Information Assurance, pages 301-302. IEEE Computer Society Press, June 2003.
-
Three Power-aware Routing Algorithms for Sensor Networks
Wireless Communications and Mobile Computing, 3(2):187-208, March 2003.
-
Distributed Energy-conserving Routing Protocols
In Proceedings of the Thirty-Sixth Annual Hawaii International Conference on System Sciences (HICSS). IEEE Computer Society Press, January 2003.
-
Online Power-aware Routing in Wireless Ad-hoc Networks
In Proceedings of the Seventh Annual International Conference on Mobile Computing and Networking (MOBICOM), pages 97-107. ACM Press, July 2001.
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Using Mobile Agents for Analyzing Intrusion in Computer Networks
In The 7th ECOOP Workshop on Mobile Object Systems. June 2001.
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Hierarchical Power-aware Routing in Sensor Networks
In The DIMACS Workshop on Pervasive Networking. May 2001.
fMRI
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The fMRI Data Center: A Progress Report [abstract]
NeuroImage, 19(2), June 2003. Presented at the 9th International Conference on Functional Mapping of the Human Brain, June 19-22, 2003, New York, NY. Available on CD-ROM.
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The fMRI Data Center: Software Tools for Neuroimaging Data Management, Inspection, and Sharing
In Neuroscience Databases: A Practical Guide, pages 221-236. Kluwer Academic Publishers, September 2002.
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Statistical Time Course Feature Vectors for Use in Rapid Assessment and Clustering [abstract]
NeuroImage, 16(2), June 2002. Presented at the 8th International Conference on Functional Mapping of the Human Brain, June 2-6, 2002, Sendai, Japan. Available on CD-ROM.
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The Functional Magnetic Resonance Imaging Data Center (fMRIDC): The Challenges and Rewards of Large-scale Databasing of Neuroimaging Studies
Philosophical Transactions of the Royal Society of London B, 356:1323-1339, August 2001.
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The fMRI Data Center: An Introduction [abstract]
NeuroImage, 13(6):S135, June 2001. Presented at the 7th International Conference on Functional Mapping of the Human Brain, June 10-14, 2001, Brighton, UK. Available on CD-ROM.
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A National Data Center for the Storage and Retrieval of Neuroimaging Data
Society for Neuroscience Abstracts, 26(2):2235, 2000.