Lyle H. Ungar

Orcid: 0000-0003-2047-1443

Affiliations:
  • University of Pennsylvania, Computer and Information Science Department


According to our database1, Lyle H. Ungar authored at least 224 papers between 1988 and 2024.

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Bibliography

2024
A Cross-Cultural Analysis of Social Norms in Bollywood and Hollywood Movies.
CoRR, 2024

Language-based Valence and Arousal Expressions between the United States and China: a Cross-Cultural Examination.
CoRR, 2024

2023
Mining for equitable health: Assessing the impact of missing data in electronic health records.
J. Biomed. Informatics, March, 2023

Author Correction: Opioid death projections with AI-based forecasts using social media language.
npj Digit. Medicine, 2023

Opioid death projections with AI-based forecasts using social media language.
npj Digit. Medicine, 2023

Building a Multimodal Classifier of Email Behavior: Towards a Social Network Understanding of Organizational Communication.
Inf., 2023

Personalized Assignment to One of Many Treatment Arms via Regularized and Clustered Joint Assignment Forests.
CoRR, 2023

Historical patterns of rice farming explain modern-day language use in China and Japan more than modernization and urbanization.
CoRR, 2023

Human-Centered Metrics for Dialog System Evaluation.
CoRR, 2023

Detecting Symptoms of Depression on Reddit.
Proceedings of the 15th ACM Web Science Conference 2023, 2023

Multilingual Language Models are not Multicultural: A Case Study in Emotion.
Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023

Different Affordances on Facebook and SMS Text Messaging Do Not Impede Generalization of Language-Based Predictive Models.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

TopEx: Topic-based Explanations for Model Comparison.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Conceptor-Aided Debiasing of Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Conditioning on Dialog Acts improves Empathy Style Transfer.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Comparing Styles across Languages.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

An "Integrative Survey on Mental Health Conversational Agents to Bridge Computer Science and Medical Perspectives".
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

StyLEx: Explaining Style Using Human Lexical Annotations.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023


Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Word embeddings trained on published case reports are lightweight, effective for clinical tasks, and free of protected health information.
J. Biomed. Informatics, 2022

Conceptor-Aided Debiasing of Contextualized Embeddings.
CoRR, 2022

StyLEx: Explaining Styles with Lexicon-Based Human Perception.
CoRR, 2022

Empathic Conversations: A Multi-level Dataset of Contextualized Conversations.
CoRR, 2022

Cross-Platform Difference in Facebook and Text Messages Language Use: Illustrated by Depression Diagnosis.
CoRR, 2022

Prospective Learning: Back to the Future.
CoRR, 2022

A Holistic Framework for Analyzing the COVID-19 Vaccine Debate.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Correcting Sociodemographic Selection Biases for Population Prediction from Social Media.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Social Media Reveals Urban-Rural Differences in Stress across China.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Inducing Generalizable and Interpretable Lexica.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Data-driven exclusion criteria for instrumental variable studies.
Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

Measuring the Language of Self-Disclosure across Corpora.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Information-seeking vs. sharing: Which explains regional health? An analysis of Google Search and Twitter trends.
Telematics Informatics, 2021

Social media language of healthcare super-utilizers.
npj Digit. Medicine, 2021

Quantifying causality in data science with quasi-experiments.
Nat. Comput. Sci., 2021

Development and validation of a prediction model for actionable aspects of frailty in the text of clinicians' encounter notes.
J. Am. Medical Informatics Assoc., 2021

The rural-urban stress divide: Obtaining geographical insights through Twitter.
Comput. Hum. Behav., 2021

WikiTalkEdit: A Dataset for modeling Editors' behaviors on Wikipedia.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Well-Being Depends on Social Comparison: Hierarchical Models of Twitter Language Suggest That Richer Neighbors Make You Less Happy.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Characterizing Social Spambots by their Human Traits.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods.
Proc. Natl. Acad. Sci. USA, 2020

Studying Politeness across Cultures using English Twitter and Mandarin Weibo.
Proc. ACM Hum. Comput. Interact., 2020

Generalized SHAP: Generating multiple types of explanations in machine learning.
CoRR, 2020

Small Steps to Accuracy: Incremental Belief Updaters Are Better Forecasters.
Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020

Learning Word Ratings for Empathy and Distress from Document-Level User Responses.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Beyond Positive Emotion: Deconstructing Happy Moments Based on Writing Prompts.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Item Response Theory for Efficient Human Evaluation of Chatbots.
Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems, 2020

Predicting Responses to Psychological Questionnaires from Participants' Social Media Posts and Question Text Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings.
Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020

Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020


A report of the CL-Aff OffMyChest Shared Task: Modeling Supportiveness and Disclosure.
Proceedings of the 3rd Workshop on Affective Content Analysis (AffCon 2020) co-located with Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 2020

Editorial for the 3rd Workshop on Affective Content Analysis (AffCon) at AAAI 2020.
Proceedings of the 3rd Workshop on Affective Content Analysis (AffCon 2020) co-located with Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 2020

2019
Construct validity of six sentiment analysis methods in the text of encounter notes of patients with critical illness.
J. Biomed. Informatics, 2019

Machine Learning for Phone-Based Relationship Estimation: The Need to Consider Population Heterogeneity.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

Correcting Sociodemographic Selection Biases for Accurate Population Prediction from Social Media.
CoRR, 2019

Sentence-Level BERT and Multi-Task Learning of Age and Gender in Social Media.
CoRR, 2019

DiaNet: BERT and Hierarchical Attention Multi-Task Learning of Fine-Grained Dialect.
CoRR, 2019

Conceptor Debiasing of Word Representations Evaluated on WEAT.
CoRR, 2019

Expert-Augmented Machine Learning.
CoRR, 2019

Exploring (Dis-)Similarities in Emoji-Emotion Association on Twitter and Weibo.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

ChatEval: A Tool for Chatbot Evaluation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Continual Learning for Sentence Representations Using Conceptors.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

What Twitter Profile and Posted Images Reveal about Depression and Anxiety.
Proceedings of the Thirteenth International Conference on Web and Social Media, 2019

Studying Cultural Differences in Emoji Usage across the East and the West.
Proceedings of the Thirteenth International Conference on Web and Social Media, 2019

Understanding and Measuring Psychological Stress Using Social Media.
Proceedings of the Thirteenth International Conference on Web and Social Media, 2019

Unsupervised Post-Processing of Word Vectors via Conceptor Negation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

The CL-Aff Happiness Shared Task: Results and Key Insights.
Proceedings of the 2nd Workshop on Affective Content Analysis (AffCon 2019) co-located with Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), 2019

Editorial for the 2nd Workshop on Affective Content Analysis (AffCon) at AAAI 2019.
Proceedings of the 2nd Workshop on Affective Content Analysis (AffCon 2019) co-located with Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), 2019

2018
Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors.
CoRR, 2018

Learning Neural Emotion Analysis from 100 Observations: The Surprising Effectiveness of Pre-Trained Word Representations.
CoRR, 2018

Facebook versus Twitter: Differences in Self-Disclosure and Trait Prediction.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Modeling and Visualizing Locus of Control with Facebook Language.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Fast Network Simulation Through Approximation or: How Blind Men Can Describe Elephants.
Proceedings of the 17th ACM Workshop on Hot Topics in Networks, 2018

Identifying Locus of Control in Social Media Language.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Modeling Empathy and Distress in Reaction to News Stories.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Unsupervised Morphology Learning with Statistical Paradigms.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

User-Level Race and Ethnicity Predictors from Twitter Text.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Multi-Attribute Topic Feature Construction for Social Media-based Prediction.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Diachronic degradation of language models: Insights from social media.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Enabling Deep Learning of Emotion With First-Person Seed Expressions.
Proceedings of the Second Workshop on Computational Modeling of People's Opinions, 2018

Current and Future Psychological Health Prediction using Language and Socio-Demographics of Children for the CLPysch 2018 Shared Task.
Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, 2018

The AAAI-18 Workshop on Affective Content Analysis.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Confidence Calibration in a Multiyear Geopolitical Forecasting Competition.
Manag. Sci., 2017

Distilling the Wisdom of Crowds: Prediction Markets vs. Prediction Polls.
Manag. Sci., 2017

Tree-Structured Boosting: Connections Between Gradient Boosted Stumps and Full Decision Trees.
CoRR, 2017

Domain Aware Neural Dialog System.
CoRR, 2017

Enterprise to Computer: Star Trek chatbot.
CoRR, 2017

Deriving Verb Predicates By Clustering Verbs with Arguments.
CoRR, 2017

Latent Human Traits in the Language of Social Media: An Open-Vocabulary Approach.
CoRR, 2017

Studying Personality through the Content of Posted and Liked Images on Twitter.
Proceedings of the 2017 ACM on Web Science Conference, 2017

Domain Adaptation from User-level Facebook Models to County-level Twitter Predictions.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Recognizing Pathogenic Empathy in Social Media.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Assessing Objective Recommendation Quality through Political Forecasting.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

DLATK: Differential Language Analysis ToolKit.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Controlling Human Perception of Basic User Traits.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Predicting Emotional Word Ratings using Distributional Representations and Signed Clustering.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Recognizing Counterfactual Thinking in Social Media Texts.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Semantic Word Clusters Using Signed Spectral Clustering.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Beyond Binary Labels: Political Ideology Prediction of Twitter Users.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

On the Distribution of Lexical Features at Multiple Levels of Analysis.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Personality Driven Differences in Paraphrase Preference.
Proceedings of the Second Workshop on NLP and Computational Social Science, 2017

Proper Proxy Scoring Rules.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
DASHR: database of small human noncoding RNAs.
Nucleic Acids Res., 2016

Product Information Websites: Are They Good for Consumers?
J. Manag. Inf. Syst., 2016

Semantic Word Clusters Using Signed Normalized Graph Cuts.
CoRR, 2016

Modelling Valence and Arousal in Facebook posts.
Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, 2016

Predicting Individual Well-Being Through the Language of Social Media.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

An Empirical Exploration of Moral Foundations Theory in Partisan News Sources.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Analyzing Personality through Social Media Profile Picture Choice.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Does 'well-being' translate on Twitter?
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Using Syntactic and Semantic Context to Explore Psychodemographic Differences in Self-reference.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Studying the Dark Triad of Personality through Twitter Behavior.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Exploring Stylistic Variation with Age and Income on Twitter.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Analyzing Biases in Human Perception of User Age and Gender from Text.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Discovering User Attribute Stylistic Differences via Paraphrasing.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Eigenwords: spectral word embeddings.
J. Mach. Learn. Res., 2015

Extracting Human Temporal Orientation from Facebook Language.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Mental Illness Detection at the World Well-Being Project for the CLPsych 2015 Shared Task.
Proceedings of the 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2015

The role of personality, age, and gender in tweeting about mental illness.
Proceedings of the 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2015

Crowdsourcing for NLP.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2014
Subject-specific functional parcellation via Prior Based Eigenanatomy.
NeuroImage, 2014

Classification of individual articles from all of science by research level.
J. Informetrics, 2014

Spectral learning of latent-variable PCFGs: algorithms and sample complexity.
J. Mach. Learn. Res., 2014

Two Reasons to Make Aggregated Probability Forecasts More Extreme.
Decis. Anal., 2014

Developing Age and Gender Predictive Lexica over Social Media.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Analyzing Product Comparisons on Discussion Boards.
Proceedings of the Language, Culture, Computation. Computing - Theory and Technology, 2014

Towards Assessing Changes in Degree of Depression through Facebook.
Proceedings of the Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2014

2013
A risk comparison of ordinary least squares vs ridge regression.
J. Mach. Learn. Res., 2013

Lessons Learned About Public Health from Online Crowd Surveillance.
Big Data, 2013

Choosing the Right Words: Characterizing and Reducing Error of the Word Count Approach.
Proceedings of the Second Joint Conference on Lexical and Computational Semantics, 2013

Using Regression for Spectral Estimation of HMMs.
Proceedings of the Statistical Language and Speech Processing, 2013

The Marketcast Method for Aggregating Prediction Market Forecasts.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013

Anatomically-Constrained PCA for Image Parcellation.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Faster Ridge Regression via the Subsampled Randomized Hadamard Transform.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

New Subsampling Algorithms for Fast Least Squares Regression.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Experiments with Spectral Learning of Latent-Variable PCFGs.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Spectral Learning Algorithms for Natural Language Processing.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Characterizing Geographic Variation in Well-Being Using Tweets.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

How do Infomediaries affect firms' information strategies, and how do they impact buyer and social welfare?
Proceedings of the International Conference on Information Systems, 2013

Toward Personality Insights from Language Exploration in Social Media.
Proceedings of the Analyzing Microtext, 2013

2012
Extracting templates from radiology reports using sequence alignment.
Int. J. Data Min. Bioinform., 2012

Spectral dimensionality reduction for HMMs
CoRR, 2012

medpie: an information extraction package for medical message board posts.
Bioinform., 2012

Penn: Using Word Similarities to better Estimate Sentence Similarity.
Proceedings of the 6th International Workshop on Semantic Evaluation, 2012

Partial sparse canonical correlation analysis (PSCCA) for population studies in medical imaging.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Using CCA to improve CCA: A new spectral method for estimating vector models of words.
Proceedings of the 29th International Conference on Machine Learning, 2012

Spectral Dependency Parsing with Latent Variables.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Improving Supervised Sense Disambiguation with Web-Scale Selectors.
Proceedings of the COLING 2012, 2012

New Insights from Coarse Word Sense Disambiguation in the Crowd.
Proceedings of the COLING 2012, 2012

Spectral Learning of Latent-Variable PCFGs.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

The Good Judgment Project: A Large Scale Test of Different Methods of Combining Expert Predictions.
Proceedings of the Machine Aggregation of Human Judgment, 2012

2011
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning.
J. Mach. Learn. Res., 2011

Identifying potential adverse effects using the web: A new approach to medical hypothesis generation.
J. Biomed. Informatics, 2011

A system for de-identifying medical message board text.
BMC Bioinform., 2011

Multi-View Learning of Word Embeddings via CCA.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010
Analyzing knowledge communities using foreground and background clusters.
ACM Trans. Knowl. Discov. Data, 2010

Positioning knowledge: schools of thought and new knowledge creation.
Scientometrics, 2010

Innovating knowledge communities - An analysis of group collaboration and competition in science and technology.
Scientometrics, 2010

Dementia induces correlated reductions in white matter integrity and cortical thickness: A multivariate neuroimaging study with sparse canonical correlation analysis.
NeuroImage, 2010

Feature Selection using Multiple Streams.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Information markets for product attributes: A game theoretic, dual pricing mechanism.
Decis. Support Syst., 2010

Discovery of significant emerging trends.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

A New Approach to Lexical Disambiguation of Arabic Text.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

2009
Transfer Learning Using Feature Selection
CoRR, 2009

A predictive model for identifying mini-regulatory modules in the mouse genome.
Bioinform., 2009

Multi-task Feature Selection Using the Multiple Inclusion Criterion (MIC).
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

An Approach to Web-Scale Named-Entity Disambiguation.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

Efficient Clustering of Web-Derived Data Sets.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

Resolving Identity Uncertainty with Learned Random Walks.
Proceedings of the ICDM 2009, 2009

Transfer Learning, Feature Selection and Word Sense Disambiguation.
Proceedings of the ACL 2009, 2009

2008
Finding cohesive clusters for analyzing knowledge communities.
Knowl. Inf. Syst., 2008

A model of market power and efficiency in private electronic exchanges.
Eur. J. Oper. Res., 2008

Regularized Learning with Networks of Features.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Efficient Feature Selection in the Presence of Multiple Feature Classes.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Web-scale named entity recognition.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Using sequence classification for filtering web pages.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Multiway Clustering for Creating Biomedical Term Sets.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

Protein-Protein Interaction Network Alignment by Quantitative Simulation.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

2007
Active learning for logistic regression: an evaluation.
Mach. Learn., 2007

Extracting Product Comparisons from Discussion Boards.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006
Streamwise Feature Selection.
J. Mach. Learn. Res., 2006

Automatic term list generation for entity tagging.
Bioinform., 2006

An Empirical Study of the Behavior of Active Learning for Word Sense Disambiguation.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

2005
Iterative Combinatorial Auctions with Bidder-Determined Combinations.
Manag. Sci., 2005

CROC: A New Evaluation Criterion for Recommender Systems.
Electron. Commer. Res., 2005

Streaming feature selection using alpha-investing.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Is Online Product Information Availability Driven by Quality or Differentiation?
Proceedings of the International Conference on Information Systems, 2005

Streaming Feature Selection using IIC.
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004
Using prior knowledge to improve genetic network reconstruction from microarray data.
Silico Biol., 2004

The CRASSS plug-in for integrating annotation data with hierarchical clustering results.
Bioinform., 2004

Cluster-based concept invention for statistical relational learning.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003
Using policy gradient reinforcement learning on autonomous robot controllers.
Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27, 2003

Static and Dynamic Analysis of the Internet's Susceptibility to Faults and Attacks.
Proceedings of the Proceedings IEEE INFOCOM 2003, The 22nd Annual Joint Conference of the IEEE Computer and Communications Societies, San Franciso, CA, USA, March 30, 2003

Mixtures of Conditional Maximum Entropy Models.
Proceedings of the Machine Learning, 2003

Dual Pricing in Electronic Markets.
Proceedings of the International Conference on Information Systems, 2003

Statistical Relational Learning for Document Mining.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

A Generalized Linear Model for Principal Component Analysis of Binary Data.
Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2002
Methods and metrics for cold-start recommendations.
Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002

2001
Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments.
Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Pricing price information in e-commerce.
Proceedings of the Proceedings 3rd ACM Conference on Electronic Commerce (EC-2001), 2001

Rates of Convergence of Performance Gradient Estimates Using Function Approximation and Bias in Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Maximum entropy methods for biological sequence modeling.
Proceedings of the ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2001), 2001

Exploiting Multiple Secondary Reinforcers in Policy Gradient Reinforcement Learning.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

An auction-based method for decentralized train scheduling.
Proceedings of the Fifth International Conference on Autonomous Agents, 2001

2000
Efficient clustering of high-dimensional data sets with application to reference matching.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

Localizing Policy Gradient Estimates to Action Transition.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Clustering and Identifying Temporal Trends in Document Databases.
Proceedings of IEEE Advances in Digital Libraries 2000 (ADL 2000), 2000

Preventing Strategic Manipulation in Iterative Auctions: Proxy Agents and Price-Adjustment.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

Iterative Combinatorial Auctions: Theory and Practice.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

Localizing Search in Reinforcement Learning.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1998
Accounting for Cognitive Costs in On-Line Auction Design.
Proceedings of the Agent Mediated Electronic Commerce, 1998

1997
A non-parametric Monte Carlo technique for controller verification.
Autom., 1997

Characterizing the generalization performance of model selection strategies.
Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

1996
Active Learning for Vision-Based Robot Grasping.
Mach. Learn., 1996

1995
Dynamic process monitoring and fault diagnosis with qualitative models.
IEEE Trans. Syst. Man Cybern., 1995

Active Exploration and Learning in real-Valued Spaces using Multi-Armed Bandit Allocation Indices.
Proceedings of the Machine Learning, 1995

1994
SVD-NET: an algorithm that automatically selects network structure.
IEEE Trans. Neural Networks, 1994

1992
Using radial basis functions to approximate a function and its error bounds.
IEEE Trans. Neural Networks, 1992

Automatic Rebuilding of Qualitative Models for Diagnosis.
IEEE Expert, 1992

1988
Finite element methods for unsteady solidification problems arising in prediction of morphological structure.
J. Sci. Comput., 1988


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