 | 2009 |
|---|
| 81 |       | Fabian Bohnert,
Daniel F. Schmidt,
Ingrid Zukerman:
Spatial Processes for Recommender Systems.
IJCAI 2009: 2022-2027 |
| 80 | | Ingrid Zukerman,
Patrick Ye,
Kapil Kumar Gupta,
Enes Makalic:
Towards the Interpretation of Utterance Sequences in a Dialogue System.
SIGDIAL Conference 2009: 46-53 |
| 79 | | Fabian Bohnert,
Ingrid Zukerman:
Non-intrusive Personalisation of the Museum Experience.
UMAP 2009: 197-209 |
| 78 | | Daniel F. Schmidt,
Ingrid Zukerman,
David W. Albrecht:
Assessing the Impact of Measurement Uncertainty on User Models in Spatial Domains.
UMAP 2009: 210-222 |
| 2008 |
|---|
| 77 | | Shlomo Berkovsky,
Timothy Baldwin,
Ingrid Zukerman:
Aspect-Based Personalized Text Summarization.
AH 2008: 267-270 |
| 76 | | Fabian Bohnert,
Ingrid Zukerman,
Shlomo Berkovsky,
Timothy Baldwin,
Liz Sonenberg:
Using Collaborative Models to Adaptively Predict Visitor Locations in Museums.
AH 2008: 42-51 |
| 75 | | Ingrid Zukerman,
Enes Makalic,
Michael Niemann:
Using Probabilistic Feature Matching to Understand Spoken Descriptions.
Australasian Conference on Artificial Intelligence 2008: 157-167 |
| 74 | | Ingrid Zukerman,
Enes Makalic,
Michael Niemann,
Sarah George:
A Probabilistic Approach to the Interpretation of Spoken Utterances.
PRICAI 2008: 581-592 |
| 73 | | Enes Makalic,
Ingrid Zukerman,
Michael Niemann,
Daniel F. Schmidt:
A Probabilistic Model for Understanding Composite Spoken Descriptions.
PRICAI 2008: 750-759 |
| 72 | | 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) |
| 2007 |
|---|
| 71 |  | 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 |
| 70 | | Fabian Bohnert,
Ingrid Zukerman:
Using Viewing Time for Theme Prediction in Cultural Heritage Spaces.
Australian Conference on Artificial Intelligence 2007: 367-376 |
| 69 | | 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 |
| 68 | | Yuval Marom,
Ingrid Zukerman:
A Predictive Approach to Help-Desk Response Generation.
IJCAI 2007: 1665-1670 |
| 67 | | 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) |
| 66 | | Sarah George,
Ingrid Zukerman,
Michael Niemann:
Inferences, suppositions and explanatory extensions in argument interpretation.
User Model. User-Adapt. Interact. 17(5): 439-474 (2007) |
| 2006 |
|---|
| 65 | | Ingrid Zukerman,
Michael Niemann,
Sarah George,
Yuval Marom:
Probabilistic, Multi-staged Interpretation of Spoken Utterances.
Australian Conference on Artificial Intelligence 2006: 1215-1220 |
| 64 | | 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 |
| 63 | | Ingrid Zukerman,
Michael Niemann,
Sarah George:
Probabilistic, Multi-staged Interpretation of Spoken Utterances.
CIMCA/IAWTIC 2006: 194 |
| 62 | | Ingrid Zukerman,
Yuval Marom:
A corpus-based approach to help-desk response generation.
CIMCA/IAWTIC 2006: 23 |
| 2005 |
|---|
| 61 | | Christian Guttmann,
Ingrid Zukerman:
Voting policies that cope with unreliable agents.
AAMAS 2005: 365-372 |
| 60 | | 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 |
| 59 | | 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 |
| 58 | | Yuval Marom,
Ingrid Zukerman:
Analysis and Synthesis of Help-Desk Responses.
KES (3) 2005: 890-897 |
| 57 | | Sarah George,
Ingrid Zukerman,
Michael Niemann:
Modeling Suppositions in Users' Arguments.
User Modeling 2005: 19-29 |
| 56 | | Ingrid Zukerman,
Christian Guttmann:
Modeling Agents That Exhibit Variable Performance in a Collaborative Setting.
User Modeling 2005: 210-219 |
| 55 | | Ingrid Zukerman:
Argumentation Machines: New Frontiers in Argumentation and Computation edited by Chris ReedTimothy J. Norman.
Computational Linguistics 31(1): 153-155 (2005) |
| 54 | | Sandra Carberry,
Ingrid Zukerman:
Preface to the Special Issue on Language-Based Interaction.
User Model. User-Adapt. Interact. 15(1-2): 1-3 (2005) |
| 53 | | Ingrid Zukerman,
Sarah George:
A Probabilistic Approach for Argument Interpretation.
User Model. User-Adapt. Interact. 15(1-2): 5-53 (2005) |
| 2004 |
|---|
| 52 | | Pawel Kowalczyk,
Ingrid Zukerman,
Michael Niemann:
Analyzing the Effect of Query Class on Document Retrieval Performance.
Australian Conference on Artificial Intelligence 2004: 550-561 |
| 51 | | Ingrid Zukerman,
Michael Niemann,
Sarah George:
Improving the Presentation of Argument Interpretations Based on User Trials.
Australian Conference on Artificial Intelligence 2004: 587-598 |
| 50 | | Christian Guttmann,
Ingrid Zukerman:
Towards Models of Incomplete and Uncertain Knowledge of Collaborators' Internal Resources.
MATES 2004: 58-72 |
| 49 | | Sarah George,
Ingrid Zukerman,
Michael Niemann:
An Anytime Algorithm for Interpreting Arguments.
PRICAI 2004: 311-321 |
| 48 | | Yuval Marom,
Ingrid Zukerman:
Improving Newsgroup Clustering by Filtering Author-Specific Words.
PRICAI 2004: 953-954 |
| 2003 |
|---|
| 47 | | Sarah George,
Ingrid Zukerman,
Mark George:
An information-theoretic approach for argument interpretation in a conversational setting.
AAMAS 2003: 992-993 |
| 46 | | Ingrid Zukerman,
Bhavani Raskutti,
Yingying Wen:
Query Expansion and Query Reduction in Document Retrieval.
ICTAI 2003: 552-559 |
| 45 | | Ingrid Zukerman,
Sarah George,
Mark George:
Incorporating a User Model into an Information Theoretic Framework for Argument Interpretation.
User Modeling 2003: 106-116 |
| 2002 |
|---|
| 44 | | Ingrid Zukerman,
Bhavani Raskutti,
Yingying Wen:
Experiments in Query Paraphrasing for Information Retrieval.
Australian Joint Conference on Artificial Intelligence 2002: 24-35 |
| 43 | | Sarah George,
Ingrid Zukerman:
Argument Interpretation Using Minimum Message Length.
Australian Joint Conference on Artificial Intelligence 2002: 297-308 |
| 42 | | Ingrid Zukerman,
Bhavani Raskutti:
Lexical Query Paraphrasing for Document Retrieval.
COLING 2002 |
| 41 | | Ingrid Zukerman,
Sarah George:
Towards a Noise-Tolerant, Representation-Independent Mechanism for Argument Interpretation.
COLING 2002 |
| 40 | | Werner Winiwarter,
Ingrid Zukerman,
Tsunenori Mine:
Message from the NLIS Workshop Chairs.
DEXA Workshops 2002: 201-204 |
| 2001 |
|---|
| 39 | | Ingrid Zukerman:
An Integrated Approach for Generating Arguments and Rebuttals and Understanding Rejoinders.
User Modeling 2001: 84-94 |
| 38 | | Ingrid Zukerman,
Richard McConachy:
Wishful: A Discourse Planning System That Considers a User's Inferences.
Computational Intelligence 17(1): 1-61 (2001) |
| 37 | | 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) |
| 36 | | Ingrid Zukerman,
David W. Albrecht:
Predictive Statistical Models for User Modeling.
User Model. User-Adapt. Interact. 11(1-2): 5-18 (2001) |
| 2000 |
|---|
| 35 | | Ingrid Zukerman,
David W. Albrecht,
Ann E. Nicholson,
Krystyna Doktor:
Trading Off Granularity against Complexity.
PRICAI 2000: 241-251 |
| 34 | | Ingrid Zukerman,
Nathalie Jitnah,
Richard McConachy,
Sarah George:
Recognizing Intentions from Rejoinders in a Bayesian Interactive Argumentation System.
PRICAI 2000: 252-263 |
| 1999 |
|---|
| 33 | | David W. Albrecht,
Ingrid Zukerman,
Ann E. Nicholson:
Pre-sending Documents on the WWW: A Comparative Study.
IJCAI 1999: 1274-1279 |
| 32 | | Ingrid Zukerman,
Richard McConachy,
Kevin B. Korb,
Deborah Pickett:
Exploratory Interaction with a Bayesian Argumentation System.
IJCAI 1999: 1294-1299 |
| 31 | | A. E. Bud,
Ann E. Nicholson,
Ingrid Zukerman,
David W. Albrecht:
A hybrid architecture for strategically complex imperfect information games.
KES 1999: 42-45 |
| 30 | | Richard McConachy,
Ingrid Zukerman:
Dialogue Requirements for Argumentation Systems.
Electron. Trans. Artif. Intell. 3(D): 89-124 (1999) |
| 1998 |
|---|
| 29 | | Ingrid Zukerman,
Richard McConachy,
Kevin B. Korb:
Bayesian Reasoning in an Abductive Mechanism for Argument Generation and Analysis.
AAAI/IAAI 1998: 833-838 |
| 28 | | David W. Albrecht,
Ann E. Nicholson,
Ingrid Zukerman:
Knowledge Acquisition for Goal Prediction in a Multi-user Adventure Game.
PAKDD 1998: 1-12 |
| 27 | | Ann E. Nicholson,
Ingrid Zukerman,
David W. Albrecht:
A Decision-Theoretic Approach for Pre-sending Information on the WWW.
PRICAI 1998: 575-586 |
| 26 | | Christopher Leckie,
Ingrid Zukerman:
Inductive Learning of Search Control Rules for Planning.
Artif. Intell. 101(1-2): 63-98 (1998) |
| 25 | | 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) |
| 1997 |
|---|
| 24 | | Ian 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 |
| 23 | | 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) |
| 22 | | Bhavani Raskutti,
Ingrid Zukerman:
Generating queries and replies during information-seeking interactions.
Int. J. Hum.-Comput. Stud. 47(6): 689-734 (1997) |
| 1996 |
|---|
| 21 | | Yi Han,
Ingrid Zukerman:
Constraint Propagation in a Cooperative Approach for Multimodal Presentation Planning.
ECAI 1996: 256-260 |
| 20 | | Richard McConachy,
Ingrid Zukerman:
Using Argument Graphs to Generate Arguments.
ECAI 1996: 592-598 |
| 19 | | Ian Thomas,
Ingrid Zukerman,
Jonathan J. Oliver,
Bhavani Raskutti:
Lexical Access using Minimum Message Length Encoding.
PRICAI 1996: 229-240 |
| 18 | | Bhavani Raskutti,
Ingrid Zukerman:
A Unified Approach to Handling Uncertainty during Cooperative Consultations.
PRICAI 1996: 85-96 |
| 1995 |
|---|
| 17 | | Ingrid Zukerman,
Richard McConachy:
Generating Discourse across Several User Models: Maximizing Belief while Avoiding Boredom and Overload.
IJCAI 1995: 1251-1259 |
| 16 | | Yi Han,
Ingrid Zukerman:
Using Cooperative Agents to Plan Multimodal Presentations.
Multimodal Human-Computer Communication 1995: 122-157 |
| 1994 |
|---|
| 15 | | Bhavani Raskutti,
Ingrid Zukerman:
Acquisition of Information to Determine a User's Plan.
ECAI 1994: 28-32 |
| 14 | | Ingrid Zukerman,
Richard McConachy:
Being Concise versus Being Shallow: Two Competing Discourse Planning Paradigms.
ECAI 1994: 515-519 |
| 1993 |
|---|
| 13 | | Ingrid Zukerman,
Richard McConachy:
An Optimizing Method for Structuring Inferentially Linked Discourse.
AAAI 1993: 202-207 |
| 12 | | Christopher Leckie,
Ingrid Zukerman:
An Inductive Approach to Learning Search Control Rules for Planning.
IJCAI 1993: 1100-1105 |
| 11 | | Ingrid Zukerman,
Richard McConachy:
Generating Concise Discourse that Addresses a Users Inferences.
IJCAI 1993: 1202-1207 |
| 10 | | 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) |
| 1991 |
|---|
| 9 | | Christopher Leckie,
Ingrid Zukerman:
Learning Search Control Rules for Planning: An Inductive Approach.
ML 1991: 422-426 |
| 8 | | Bhavani Raskutti,
Ingrid Zukerman:
Handling Uncertainty During Plan Recognition in Task-Oriented Consultation Systems.
UAI 1991: 308-315 |
| 7 | | 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) |
| 1990 |
|---|
| 6 | | Ingrid Zukerman:
A predictive approach for the generation of rhetorical devices.
Computational Intelligence 6: 25-40 (1990) |
| 1988 |
|---|
| 5 | | 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 |
| 4 | | Lai Leng Hui,
Ingrid Zukerman:
Common-sense Resolution of Syntactic Ambiguity in Database Queries.
Australian Joint Conference on Artificial Intelligence 1988: 396-409 |
| 3 | | 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 |
| 1987 |
|---|
| 2 | | Ingrid Zukerman:
Goal-based Generation of Motivational Expressions in a Learning Environment.
AAAI 1987: 327-333 |
| 1986 |
|---|
| 1 | | Ingrid Zukerman,
Judea Pearl:
Comprehension-Driven Generation of Meta-Technical Utterances in Math Tutoring.
AAAI 1986: 606-611 |
