University of Pittsburgh

ISP Graduate Student -- Recent Publications

Cem Akkaya

  • Cem Akkaya, Janyce Wiebe, Alexander Conrad and Rada Mihalcea (2011). Improving the Impact of Subjectivity Word Sense Disambiguation on Contextual Opinion Analysis. (CoNNL 2011).
  • Cem Akkaya, Alexander Conrad, Janyce Wiebe, and Rada Mihalcea (2010). Amazon Mechanical Turk for Subjectivity Word Sense Disambiguation. NAACL-HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk.
  • Cem Akkaya, Janyce Wiebe and Rada Mihalcea. (2009). Subjectivity Word Sense Disambiguation. (EMNLP 2009).
  •  Yaw Gyamfi, Janyce Wiebe, Rada Mihalcea, and Cem Akkaya (2009). Integrating Knowledge for Subjectivity Sense Labeling. Joint Conference of the North American Chapter of the Association for Computational Linguistics and the Human Language Technologies Conference (NAACL-HLT 2009). 

Saeed Amizadeh

  • S. Wang, S. Amizadeh and M. Hauskrecht, Modeling Term Relevance in Information Retrieval Using Graph Lapician Kernels, submitted to 14th Internatinal Conference on Artificial Intelligence and Statistics (AISTAT-11), Ft. Lauderdale, FL, U.S. 2011.
  • S. Amizadeh and M. Hauskrecht, Latent Variable Model for Learning in Pairwise Markov Networks, AAAI-10: 24th Conference on Artificial Intelligence, pp: 382-387, Atlanta, GA, U.S. 2010.
  • S. Amizadeh, M. Hauskrecht and S. Visweswaran, Learning Sparse GGMs Using Generalized Affiliation Model, submitted to ICML-10: the 27th International Conference on Machine Learning, 2010.
  • S. Amizadeh, M. Chen, D. Dash, M. Hauskrecht, W. Schneider, Low-dimensional Embedding of Large-scale Infinite-dimensional Function Spaces with Application to Human Brain Connectome. In NIPS workshop on Low-rank Methods for Large Scale Machine Learning, in conjunction with the 24th annual conference on Neural Information Processing Systems (NIPS), December 2010.
  • S. Amizadeh and D. Dash, Efficient Causal Discovery and Abstraction in Perception Stream, in NIPS workshop Bounded-rational analyses of human cognition: Bayesian models, approximate inference, and the brain”, Dec. 2009.

Ilya Goldin

  • Goldin, Ilya M., Kevin D. Ashley, (accepted) Peering Inside peer Review with Bayesian ModelsProceedings of the 15th International Conference on Artificial Intelligence in Education (AIED2011). June, 2011, New Zealand.
  • Goldin, Ilya M., Kevin D. Ashley. (2010) Learning by Reviewing through Peer Feedback Refinement. Proceedings of the Workshop on Computer-Supported Peer Review in Education, 10th International Conference on Intelligent Tutoring Systems. Pittsburgh, USA
  • Goldin, Ilya M., Kevin D. Ashley. (2010) Eliciting Informative Feedback in Peer Review: Importance of Problem-Specific Scaffolding. Proceedings of the 10th International Conference on Intelligent Tutoring Systems. Pittsburgh, USA.

Matthias Grabmair

  • M. Grabmair & K.D. Ashley, Facilitating Case Comparison Using Value Judgments and Intermediate Legal Concepts, ICAIL 2011 Proceedings, 161-170, ACM, 2011 [Donald H. Berman Best Student Paper Award]
  • M. Grabmair & K.D. Ashley, Argumentation with Value Judgments - An Example in Hypothetical Reasoning, Jurix 2010: The 23rd Annual Conference [IN PRINT].
  •  M. Grabmair, T.F. Gordon, and D. Walton, Probabilistic Semantics for the Carneades Argument Model Using Bayesian Networks, Proceedings of the Third International Conference on Computational Models of Argument (COMMA), IOS Press, 2010, 255–266.
  • M. Grabmair & K.D. Ashley, Using Critical Questions to Disambiguate and Formalize Statutory Provisions, ICAIL 2009 Proceedings, 240-241, ACM SIGART, 2009.

Sung-Young Jung

Collin Lynch

  • Lynch, C., Ashley, K.D., Pinkwart, N., & Aleven, V. (In-Press). Ill-Defined Domains and Adaptive Tutoring Technologies to appear in Durlach, P. & Lesgold, A. M(Eds.) Adaptive Technologies for Training and Education. Cambridge University Press.
  • Ashley, K., LYnch, C., Pinkwart, N., Aleven, V. (2010) Borderline Cases of Ill-definedness -- and How Different Definitions Deal with Them.  In Proceedings of Workshop on Intelligent Tutoring Technologies for Ill-Defined Problems and Ill-Defined Domains.  (ITS Workshop), Pittsburgh, PA, June 2010
  • Ashley, K., Lynch, C. (2010) Are Argument Diagrams of Hypothetical Reasoning Diagnostic? in Stein, M.K., & Kucan, L. (Eds) Instructional Explanations in the Disciplines. pp. 171-188 New York: Springer.
  • Lynch, C. Ashley, K. D. Pinkwart, N., Aleven, V. (2009) Concepts, Structures, and Goals: Redefining Ill Definedness In Aleven, V., Lynch, C. Pinkwart, N., Ashley, K. (Eds). International Journal of AI in Education; Special Issue on Ill-Defined Domains. Volume 19. Number 3. pp. 253-266
  •  Pinkwart, N. and Ashley, K. D. and Lynch, C. and and Aleven, V. (2009) Formative Evaluations Studies of an Intelligent Tutoring System for Making Legal Arguments with Hypotheticals To appear in: Aleven, V., Lynch, C. Pinkwart, N., Ashley, K. (Eds). International Journal of AI in Education; Special Issue on Ill Defined Domains. Volume 19. Number 4.
  • Lynch, C., Ashley, K. D., Pinkwart, N., & Aleven, V. (2009). Argument Diagramming and Diagnostic Reliability. In Guido Governatori (Ed.) Legal Knowledge and Information Systems, Jurix 2009: The Twenty-Second Annual Conference. (p. 106-115). Amsterdam, IOS Press
  • Lynch, C., Ashley, K. D., Pinkwart, N., & Aleven, V. (2009). Toward Assessing Law Students' Argument Diagrams. In Proceedings of the 12th International Conference on Artificial Intelligence and Law (p. 222 223). New York (NY), ACM Press
  • Kevin Ashley, Collin Lynch, Niels Pinkwart and Vincent Aleven (2009) Toward Modeling and Teaching Legal Case-Based Adaptation with Expert Examples In McGinty, Lorraine; Wilson, David C. (Eds.) Case Based Reasoning Research and Development [LNCS 0302-9743 (Print) 1611-3349 (Online)]: Proceedings of the 2009 International Conference on Case-Based Reasoning (p. 45-59) Springer
  • Niels Pinkwart, Collin Lynch, Kevin Ashley and Vincent Aleven. (2009) Assessing Argument Diagrams in an Ill-defined Domain In Vania Dimitrova, Riichiro Mizoguchi, Benedict du Boulay, Arthur C. Graesser (Eds.) Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, Proceedings of the 14th International Conference on AI in Education (p. 590-592)
  • N. Pinkwart, C. Lynch, K. D. Ashley, V. Aleven, eds. (2009). International Journal of Artificial Intelligence in Education, Special Issue on AIED applications for ill-defined domains.

Richard Pelikan

  • R. Pelikan and M. Hauskrecht. Automatic Preprocessing of Mass Spectrometry Protein Profiles. AMIA 2010, Washington, DC, November 15-17, 2010.
  • R. Pelikan and M. Hauskrecht. Efficient peak labeling algorithms for whole-sample mass spectrometry proteomics. IEEE Transactions on Computational Biology and Bioinformatics, 2009 7(1):126-37.

Jialan Que

  • Que, J., Tsui, F-U, and Wagner, M. Rank-Based Spatial Clustering: A Framework for Rapid Outbreak Detection, JAMIA, accepted, to appear.
  • Que, J., Tsui F-U. A Data Simulation Model Using NRDM Pharmaceutical Sales Counts, The 9th Annual Conference of the International Society for Disease Surveillance, accepted, to appear.
  • Que J, Tsui F-U.  Evaluation of Two Spatial Algorithms for Detection of Disease Outbreaks in Two States.  In: Proceedings of the Fall Symposium of the American Medical Informatics Association.  Nov 14;2009:536. PMID: 18999304  PMCID: PMC2655962.

Shaghayegh (Sherry) Sahebi

  • P. Brusilovsky, D. Parra, S. Sahebi, and C. Wongchokprasitti, Collaborative Information Finding in Smaller Communities: The Case of Research Talks. Accepted in CollaborateCom 2010, Chicago, October 2010.
  •  S. Sahebi, C. Wongchokprasitti, and P. Brusilovsky, Recommending Research Colloquia: A Study of Several Sources for User Profiling.  Accepted in International Workshop on Information Heterogeneity and Fusion in Recommender Systems (HetRec), Barcelona, Spain, September 2010.

Shuguang Wang

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