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Ingrid Zukerman
2010 – today
- 2013
[c84]Masud Moshtaghi, Ingrid Zukerman, David W. Albrecht, R. Andrew Russell: Monitoring Personal Safety by Unobtrusively Detecting Unusual Periods of Inactivity. UMAP 2013: 139-151- [i3]Ian E. Thomas, Ingrid Zukerman, Jonathan J. Oliver, David W. Albrecht, Bhavani Raskutti: Lexical Access for Speech Understanding using Minimum Message Length Encoding. CoRR abs/1302.1572 (2013)
- [i2]Bhavani Raskutti, Ingrid Zukerman: Handling Uncertainty during Plan Recognition in Task-Oriented Consultation Systems. CoRR abs/1303.5743 (2013)
- [i1]Peter Sember, Ingrid Zukerman: Strategies for Generating Micro Explanations for Bayesian Belief Networks. CoRR abs/1304.1524 (2013)
- 2012
- [c83]Yanir Seroussi, Fabian Bohnert, Ingrid Zukerman: Authorship Attribution with Author-aware Topic Models. ACL (2) 2012: 264-269
- [c82]Fabian Bohnert, Ingrid Zukerman, David W. Albrecht: Realistic Simulation of Museum Visitors' Movements as a Tool for Assessing Sensor-Based User Models. UMAP 2012: 14-25
- [c81]Fabian Bohnert, Ingrid Zukerman, Junaidy Laures: GECKOmmender: Personalised Theme and Tour Recommendations for Museums. UMAP 2012: 26-37
- [c80]Melanie Larizza, Ingrid Zukerman, Fabian Bohnert, R. Andrew Russell, Lucy Busija, David W. Albrecht, Gwyn Rees: Studies to Determine User Requirements Regarding In-Home Monitoring Systems. UMAP 2012: 139-150
- 2011
- [j21]Stephanie Elzer, Sandra Carberry, Ingrid Zukerman: The automated understanding of simple bar charts. Artif. Intell. 175(2): 526-555 (2011)
- [c79]Yanir Seroussi, Fabian Bohnert, Ingrid Zukerman: Personalised rating prediction for new users using latent factor models. HT 2011: 47-56
- [c78]Timothy Baldwin, Patrick Ye, Fabian Bohnert, Ingrid Zukerman: In Situ Text Summarisation for Museum Visitors. PACLIC 2011: 372-381
- 2010
- [c77]Adrian Bickerstaffe, Ingrid Zukerman: A Hierarchical Classifier Applied to Multi-way Sentiment Detection. COLING 2010: 62-70
- [c76]Ingrid Zukerman, Gideon Kowadlo, Patrick Ye: Interpreting Pointing Gestures and Spoken Requests - A Probabilistic, Salience-based Approach. COLING (Posters) 2010: 1558-1566
- [c75]Gideon Kowadlo, Patrick Ye, Ingrid Zukerman: Influence of gestural salience on the interpretation of spoken requests. INTERSPEECH 2010: 2034-2037
- [c74]Fabian Bohnert, Ingrid Zukerman: A User-and Item-Aware Weighting Scheme for Combining Predictive User Models. UMAP 2010: 99-110
- [c73]Yanir Seroussi, Ingrid Zukerman, Fabian Bohnert: Collaborative Inference of Sentiments from Texts. UMAP 2010: 195-206
- [c72]
2000 – 2009
- 2009
- [j20]Yuval Marom, Ingrid Zukerman: An Empirical Study of Corpus-Based Response Automation Methods for an E-mail-Based Help-Desk Domain. Computational Linguistics 35(4): 597-635 (2009)
- [c71]Patrick Ye, Ingrid Zukerman: Towards Interpreting Task-Oriented Utterance Sequences. Australasian Conference on Artificial Intelligence 2009: 607-616
- [c70]Fabian Bohnert, Ingrid Zukerman: Using Keyword-Based Approaches to Adaptively Predict Interest in Museum Exhibits. Australasian Conference on Artificial Intelligence 2009: 656-665
- [c69]Fabian Bohnert, Daniel Francis Schmidt, Ingrid Zukerman: Spatial Processes for Recommender Systems. IJCAI 2009: 2022-2027
- [c68]Fabian Bohnert, Ingrid Zukerman, Daniel Francis Schmidt: Using Gaussian Spatial Processes to Model and Predict Interests in Museum Exhibits. ITWP 2009
- [c67]Ingrid Zukerman, Patrick Ye, Kapil Kumar Gupta, Enes Makalic: Towards the Interpretation of Utterance Sequences in a Dialogue System. SIGDIAL Conference 2009: 46-53
- [c66]Fabian Bohnert, Ingrid Zukerman: Non-intrusive Personalisation of the Museum Experience. UMAP 2009: 197-209
- [c65]Daniel Francis Schmidt, Ingrid Zukerman, David W. Albrecht: Assessing the Impact of Measurement Uncertainty on User Models in Spatial Domains. UMAP 2009: 210-222
- 2008
- [j19]Fabian Bohnert, Ingrid Zukerman, Shlomo Berkovsky, Timothy Baldwin, Liz Sonenberg: Using interest and transition models to predict visitor locations in museums. AI Commun. 21(2-3): 195-202 (2008)
- [c64]Fabian Bohnert, Ingrid Zukerman, Shlomo Berkovsky, Timothy Baldwin, Liz Sonenberg: Using Collaborative Models to Adaptively Predict Visitor Locations in Museums. AH 2008: 42-51
- [c63]Shlomo Berkovsky, Timothy Baldwin, Ingrid Zukerman: Aspect-Based Personalized Text Summarization. AH 2008: 267-270
- [c62]Ingrid Zukerman, Enes Makalic, Michael Niemann: Using Probabilistic Feature Matching to Understand Spoken Descriptions. Australasian Conference on Artificial Intelligence 2008: 157-167
- [c61]Enes Makalic, Ingrid Zukerman, Michael Niemann: A spoken language interpretation component for a robot dialogue system. INTERSPEECH 2008: 195-198
- [c60]Ingrid Zukerman, Enes Makalic, Michael Niemann, Sarah George: A Probabilistic Approach to the Interpretation of Spoken Utterances. PRICAI 2008: 581-592
- [c59]Enes Makalic, Ingrid Zukerman, Michael Niemann, Daniel Francis Schmidt: A Probabilistic Model for Understanding Composite Spoken Descriptions. PRICAI 2008: 750-759
- 2007
- [j18]David W. Albrecht, Ingrid Zukerman: Introduction to the special issue on statistical and probabilistic methods for user modeling. User Model. User-Adapt. Interact. 17(1-2): 1-4 (2007)
- [j17]Sarah George, Ingrid Zukerman, Michael Niemann: Inferences, suppositions and explanatory extensions in argument interpretation. User Model. User-Adapt. Interact. 17(5): 439-474 (2007)
- [c58]Yuval Marom, Ingrid Zukerman, Nathalie Japkowicz: A Meta-learning Approach for Selecting between Response Automation Strategies in a Help-desk Domain. AAAI 2007: 907-912
- [c57]Fabian Bohnert, Ingrid Zukerman: Using Viewing Time for Theme Prediction in Cultural Heritage Spaces. Australian Conference on Artificial Intelligence 2007: 367-376
- [c56]Michael Niemann, Ingrid Zukerman, Enes Makalic, Sarah George: Hypothesis Generation and Maintenance in the Interpretation of Spoken Utterances. Australian Conference on Artificial Intelligence 2007: 466-475
- [c55]Yuval Marom, Ingrid Zukerman: A Predictive Approach to Help-Desk Response Generation. IJCAI 2007: 1665-1670
- 2006
- [j16]Christian Guttmann, Ingrid Zukerman: Agents with limited modeling abilities: Implications on collaborative problem solving. Comput. Syst. Sci. Eng. 21(3) (2006)
- [c54]Ingrid Zukerman, Yuval Marom: A Comparative Study of Information-Gathering Approaches for Answering Help-Desk Email Inquiries. Australian Conference on Artificial Intelligence 2006: 546-556
- [c53]Ingrid Zukerman, Michael Niemann, Sarah George, Yuval Marom: Probabilistic, Multi-staged Interpretation of Spoken Utterances. Australian Conference on Artificial Intelligence 2006: 1215-1220
- [c52]Ingrid Zukerman, Yuval Marom: A corpus-based approach to help-desk response generation. CIMCA/IAWTIC 2006: 23
- [c51]Ingrid Zukerman, Michael Niemann, Sarah George: Probabilistic, Multi-staged Interpretation of Spoken Utterances. CIMCA/IAWTIC 2006: 194
- 2005
- [j15]Ingrid Zukerman: Argumentation Machines: New Frontiers in Argumentation and Computation edited by Chris ReedTimothy J. Norman. Computational Linguistics 31(1): 153-155 (2005)
- [j14]Sandra Carberry, Ingrid Zukerman: Preface to the Special Issue on Language-Based Interaction. User Model. User-Adapt. Interact. 15(1-2): 1-3 (2005)
- [j13]Ingrid Zukerman, Sarah George: A Probabilistic Approach for Argument Interpretation. User Model. User-Adapt. Interact. 15(1-2): 5-53 (2005)
- [c50]Stephanie Elzer, Sandra Carberry, Daniel Chester, Seniz Demir, Nancy Green, Ingrid Zukerman, Keith Trnka: Exploring and Exploiting the Limited Utility of Captions in Recognizing Intention in Information Graphics. ACL 2005
- [c49]Christian Guttmann, Ingrid Zukerman: Voting policies that cope with unreliable agents. AAMAS 2005: 365-372
- [c48]Stephanie Elzer, Sandra Carberry, Ingrid Zukerman, Daniel Chester, Nancy Green, Seniz Demir: A Probabilistic Framework for Recognizing Intention in Information Graphics. IJCAI 2005: 1042-1047
- [c47]
- [c46]Sarah George, Ingrid Zukerman, Michael Niemann: Modeling Suppositions in Users' Arguments. User Modeling 2005: 19-29
- [c45]Ingrid Zukerman, Christian Guttmann: Modeling Agents That Exhibit Variable Performance in a Collaborative Setting. User Modeling 2005: 210-219
- 2004
- [c44]Pawel Kowalczyk, Ingrid Zukerman, Michael Niemann: Analyzing the Effect of Query Class on Document Retrieval Performance. Australian Conference on Artificial Intelligence 2004: 550-561
- [c43]Ingrid Zukerman, Michael Niemann, Sarah George: Improving the Presentation of Argument Interpretations Based on User Trials. Australian Conference on Artificial Intelligence 2004: 587-598
- [c42]Ingrid Zukerman, Yuval Marom: Filtering Speaker-Specific Words from Electronic Discussions. COLING 2004
- [c41]Christian Guttmann, Ingrid Zukerman: Towards Models of Incomplete and Uncertain Knowledge of Collaborators' Internal Resources. MATES 2004: 58-72
- [c40]Sarah George, Ingrid Zukerman, Michael Niemann: An Anytime Algorithm for Interpreting Arguments. PRICAI 2004: 311-321
- [c39]Yuval Marom, Ingrid Zukerman: Improving Newsgroup Clustering by Filtering Author-Specific Words. PRICAI 2004: 953-954
- 2003
- [c38]Sarah George, Ingrid Zukerman, Mark George: An information-theoretic approach for argument interpretation in a conversational setting. AAMAS 2003: 992-993
- [c37]Ingrid Zukerman, Bhavani Raskutti, Yingying Wen: Query Expansion and Query Reduction in Document Retrieval. ICTAI 2003: 552-559
- [c36]Ingrid Zukerman, Sarah George, Mark George: Incorporating a User Model into an Information Theoretic Framework for Argument Interpretation. User Modeling 2003: 106-116
- 2002
- [c35]Ingrid Zukerman, Bhavani Raskutti, Yingying Wen: Experiments in Query Paraphrasing for Information Retrieval. Australian Joint Conference on Artificial Intelligence 2002: 24-35
- [c34]Sarah George, Ingrid Zukerman: Argument Interpretation Using Minimum Message Length. Australian Joint Conference on Artificial Intelligence 2002: 297-308
- [c33]Ingrid Zukerman, Sarah George: Towards a Noise-Tolerant, Representation-Independent Mechanism for Argument Interpretation. COLING 2002
- [c32]
- [c31]Werner Winiwarter, Ingrid Zukerman, Tsunenori Mine: Message from the NLIS Workshop Chairs. DEXA Workshops 2002: 201-204
- 2001
- [j12]Ingrid Zukerman, Richard McConachy: Wishful: A Discourse Planning System That Considers a User's Inferences. Computational Intelligence 17(1): 1-61 (2001)
- [j11]Ingrid Zukerman, David W. Albrecht: Predictive Statistical Models for User Modeling. User Model. User-Adapt. Interact. 11(1-2): 5-18 (2001)
- [j10]Ingrid Zukerman, Diane J. Litman: Natural Language Processing and User Modeling: Synergies and Limitations. User Model. User-Adapt. Interact. 11(1-2): 129-158 (2001)
- [c30]Ingrid Zukerman: An Integrated Approach for Generating Arguments and Rebuttals and Understanding Rejoinders. User Modeling 2001: 84-94
- 2000
- [c29]Nathalie Jitnah, Ingrid Zukerman, Richard McConachy, Sarah George: Towards the Generation of Rebuttals in a Bayesian Argumentation System. INLG 2000: 39-46
- [c28]Ingrid Zukerman, Richard McConachy, Sarah George: Using Argumentation Strategies in Automated Argument Generation. INLG 2000: 55-62
- [c27]Ingrid Zukerman, David W. Albrecht, Ann E. Nicholson, Krystyna Doktor: Trading Off Granularity against Complexity. PRICAI 2000: 241-251
- [c26]Ingrid Zukerman, Nathalie Jitnah, Richard McConachy, Sarah George: Recognizing Intentions from Rejoinders in a Bayesian Interactive Argumentation System. PRICAI 2000: 252-263
1990 – 1999
- 1999
- [j9]Richard McConachy, Ingrid Zukerman: Dialogue Requirements for Argumentation Systems. Electron. Trans. Artif. Intell. 3(D): 89-124 (1999)
- [c25]David W. Albrecht, Ingrid Zukerman, Ann E. Nicholson: Pre-sending Documents on the WWW: A Comparative Study. IJCAI 1999: 1274-1279
- [c24]Ingrid Zukerman, Richard McConachy, Kevin B. Korb, Deborah Pickett: Exploratory Interaction with a Bayesian Argumentation System. IJCAI 1999: 1294-1299
- [c23]A. E. Bud, Ann E. Nicholson, Ingrid Zukerman, David W. Albrecht: A hybrid architecture for strategically complex imperfect information games. KES 1999: 42-45
- 1998
- [j8]Christopher Leckie, Ingrid Zukerman: Inductive Learning of Search Control Rules for Planning. Artif. Intell. 101(1-2): 63-98 (1998)
- [j7]David W. Albrecht, Ingrid Zukerman, Ann E. Nicholson: Bayesian Models for Keyhole Plan Recognition in an Adventure Game. User Model. User-Adapt. Interact. 8(1-2): 5-47 (1998)
- [c22]Ingrid Zukerman, Richard McConachy, Kevin B. Korb: Bayesian Reasoning in an Abductive Mechanism for Argument Generation and Analysis. AAAI/IAAI 1998: 833-838
- [c21]David W. Albrecht, Ann E. Nicholson, Ingrid Zukerman: Knowledge Acquisition for Goal Prediction in a Multi-user Adventure Game. PAKDD 1998: 1-12
- [c20]Ann E. Nicholson, Ingrid Zukerman, David W. Albrecht: A Decision-Theoretic Approach for Pre-sending Information on the WWW. PRICAI 1998: 575-586
- 1997
- [j6]Kristiina Jokinen, Mark T. Maybury, Michael Zock, Ingrid Zukerman: Gaps and Bridges: New Directions in Planning and Natural Language Generation (Workshop Report). AI Magazine 18(1): 133-136 (1997)
- [j5]Yi Han, Ingrid Zukerman: Using constraint propagation in MAGPIE: a multi-agent approach. Computer Standards & Interfaces 18(6-7): 575-582 (1997)
- [j4]Bhavani Raskutti, Ingrid Zukerman: Generating queries and replies during information-seeking interactions. Int. J. Hum.-Comput. Stud. 47(6): 689-734 (1997)
- [c19]Ian E. Thomas, Ingrid Zukerman, Jonathan J. Oliver, David W. Albrecht, Bhavani Raskutti: Lexical Access for Speech Understanding using Minimum Message Length Encoding. UAI 1997: 464-471
- 1996
- [c18]
- [c17]
- [c16]Bhavani Raskutti, Ingrid Zukerman: A Unified Approach to Handling Uncertainty during Cooperative Consultations. PRICAI 1996: 85-96
- [c15]Ian E. Thomas, Ingrid Zukerman, Jonathan J. Oliver, Bhavani Raskutti: Lexical Access using Minimum Message Length Encoding. PRICAI 1996: 229-240
- 1995
- [c14]Yi Han, Ingrid Zukerman: Using Cooperative Agents to Plan Multimodal Presentations. Multimodal Human-Computer Communication 1995: 122-157
- [c13]Ingrid Zukerman, Richard McConachy: Generating Discourse across Several User Models: Maximizing Belief while Avoiding Boredom and Overload. IJCAI 1995: 1251-1259
- 1994
- [c12]Bhavani Raskutti, Ingrid Zukerman: Acquisition of Information to Determine a User's Plan. ECAI 1994: 28-32
- [c11]Ingrid Zukerman, Richard McConachy: Being Concise versus Being Shallow: Two Competing Discourse Planning Paradigms. ECAI 1994: 515-519
- 1993
- [j3]Ingrid Zukerman, Richard McConachy: Consulting a User Model to Address a User's Inference during Content Planning. User Model. User-Adapt. Interact. 3(2): 155-185 (1993)
- [c10]Ingrid Zukerman, Richard McConachy: An Optimizing Method for Structuring Inferentially Linked Discourse. AAAI 1993: 202-207
- [c9]Christopher Leckie, Ingrid Zukerman: An Inductive Approach to Learning Search Control Rules for Planning. IJCAI 1993: 1100-1105
- [c8]Ingrid Zukerman, Richard McConachy: Generating Concise Discourse that Addresses a Users Inferences. IJCAI 1993: 1202-1207
- 1991
- [j2]Bhavani Raskutti, Ingrid Zukerman: Generation and Selection of Likely Interpretations during Plan Recognition in Task-Oriented Consultation Systems. User Model. User-Adapt. Interact. 1(3-4): 323-353 (1991)
- [c7]Christopher Leckie, Ingrid Zukerman: Learning Search Control Rules for Planning: An Inductive Approach. ML 1991: 422-426
- [c6]Bhavani Raskutti, Ingrid Zukerman: Handling Uncertainty During Plan Recognition in Task-Oriented Consultation Systems. UAI 1991: 308-315
- 1990
- [j1]Ingrid Zukerman: A predictive approach for the generation of rhetorical devices. Computational Intelligence 6: 25-40 (1990)
1980 – 1989
- 1988
- [c5]Jonathan J. Oliver, Ingrid Zukerman: DISSOLVE: A System for the Generation of Human Oriented Solutions to Algebraic Equations. Australian Joint Conference on Artificial Intelligence 1988: 92-107
- [c4]Ingrid Zukerman, Yee Han Cheong: Contradictions and Revisions as Explanatory Aids in the Delivery of Technical Information. Australian Joint Conference on Artificial Intelligence 1988: 124-139
- [c3]Lai Leng Hui, Ingrid Zukerman: Common-sense Resolution of Syntactic Ambiguity in Database Queries. Australian Joint Conference on Artificial Intelligence 1988: 396-409
- 1987
- [c2]Ingrid Zukerman: Goal-based Generation of Motivational Expressions in a Learning Environment. AAAI 1987: 327-333
- 1986
- [c1]Ingrid Zukerman, Judea Pearl: Comprehension-Driven Generation of Meta-Technical Utterances in Math Tutoring. AAAI 1986: 606-611
Coauthor Index
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last updated on 2013-06-07 21:39 CEST by the dblp team