Gabriel Murray

69 papers A* 6A 9B 6Journal 12Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improving Neural Topic Modeling with Semantically-Grounded Soft Label Distributions. CoRR Raymond Li, Amirhossein Abaskohi, Chuyuan Li, Gabriel Murray, Giuseppe Carenini
2025	—	`conf`	Explicit Bayesian Inference to Uncover the Latent Themes of Large Language Models. ACL (Findings) Raymond Li, Chuyuan Li, Gabriel Murray, Giuseppe Carenini
2024	—	`conf`	Multimodal Classification of Alzheimer's Disease by Combining Facial and Eye-Tracking Data. ML4H@NeurIPS Shih-Han Chou, Miini Teng, Harshinee Sriram, Chuyuan Li, Giuseppe Carenini, Cristina Conati, Thalia Shoshana Field, Hyeju Jang, Gabriel Murray
2023	J	`jnl`	Classification of Alzheimer's using Deep-learning Methods on Webcam-based Gaze Data. Proc. ACM Hum. Comput. Interact. Anuj Harisinghani, Harshinee Sriram, Cristina Conati, Giuseppe Carenini, Thalia Shoshana Field, Hyeju Jang, Gabriel Murray
2023	—	`conf`	Diversity-Aware Coherence Loss for Improving Neural Topic Models. ACL (2) Raymond Li, Felipe González-Pizarro, Linzi Xing, Gabriel Murray, Giuseppe Carenini
2023	J	`jnl`	Diversity-Aware Coherence Loss for Improving Neural Topic Models. CoRR Raymond Li, Felipe González-Pizarro, Linzi Xing, Gabriel Murray, Giuseppe Carenini
2023	—	`conf`	Mixture-of-Linguistic-Experts Adapters for Improving and Interpreting Pre-trained Language Models. EMNLP (Findings) Raymond Li, Gabriel Murray, Giuseppe Carenini
2023	J	`jnl`	Mixture-of-Linguistic-Experts Adapters for Improving and Interpreting Pre-trained Language Models. CoRR Raymond Li, Gabriel Murray, Giuseppe Carenini
2023	J	`jnl`	Visual Analytics for Generative Transformer Models. CoRR Raymond Li, Ruixin Yang, Wen Xiao, Ahmed AbuRa'ed, Gabriel Murray, Giuseppe Carenini
2022	—	`conf`	Computational Models of Linguistic Alignment for Clustering Group Participants and Predicting Task Outcomes. Canadian AI Duncan Clelland, Gabriel Murray
2022	A*	`conf`	Human Guided Exploitation of Interpretable Attention Patterns in Summarization and Topic Segmentation. EMNLP Raymond Li, Wen Xiao, Linzi Xing, Lanjun Wang, Gabriel Murray, Giuseppe Carenini
2021	—	`conf`	Clustering and Multimodal Analysis of Participants in Task-Based Discussions. ICMI Companion David Johnson, Gabriel Murray
2021	B	`conf`	Insights on Group and Team Dynamics. ICMI Joseph A. Allen, Hayley Hung, Joann Keyton, Gabriel Murray, Catharine Oertel, Giovanna Varni
2020	—	`conf`	Group Performance Prediction with Limited Context. ICMI Companion Uliyana Kubasova, Gabriel Murray
2020	A	`conf`	NJM-Vis: interpreting neural joint models in NLP. IUI David Johnson, Giuseppe Carenini, Gabriel Murray
2020	B	`conf`	Workshop on Interdisciplinary Insights into Group and Team Dynamics. ICMI Hayley Hung, Gabriel Murray, Giovanna Varni, Nale Lehmann-Willenbrock, Fabiola H. Gerpott, Catharine Oertel
2019	A	`conf`	Analyzing Verbal and Nonverbal Features for Predicting Group Performance. INTERSPEECH Uliyana Kubasova, Gabriel Murray, McKenzie Braley
2019	J	`jnl`	Analyzing Verbal and Nonverbal Features for Predicting Group Performance. CoRR Uliyana Kubasova, Gabriel Murray, McKenzie Braley
2019	—	`conf`	Discourse Analysis and Its Applications. ACL (4) Shafiq R. Joty, Giuseppe Carenini, Raymond T. Ng, Gabriel Murray
2019	J	`jnl`	Graph-Based Prediction of Meeting Participation. Multimodal Technol. Interact. Gabriel Murray
2019	J	`jnl`	Information Processing and Overload in Group Conversation: A Graph-Based Prediction Model. Multimodal Technol. Interact. Gabriel Murray
2018	A*	`conf`	Discourse Processing and Its Applications in Text Mining. ICDM Shafiq R. Joty, Giuseppe Carenini, Raymond T. Ng, Gabriel Murray
2018	B	`conf`	Group Interaction Frontiers in Technology. ICMI Gabriel Murray, Hayley Hung, Joann Keyton, Catherine Lai, Nale Lehmann-Willenbrock, Catharine Oertel
2018	—	`conf`	Interpreting Models of Social Group Interactions in Meetings with Probabilistic Model Checking. GIFT@ICMI Oana Andrei, Gabriel Murray
2018	—	`conf`	Multimodal Analysis of Group Attitudes Towards Meeting Management. GIFT@ICMI Gabriel Murray, Catherine Lai
2018	—	`conf`	NLP for Conversations: Sentiment, Summarization, and Group Dynamics. COLING (Tutorials) Gabriel Murray, Giuseppe Carenini, Shafiq R. Joty
2018	B	`conf`	Predicting Group Performance in Task-Based Interaction. ICMI Gabriel Murray, Catharine Oertel
2018	—	`conf`	Predicting group satisfaction in meeting discussions. MCPMD@ICMI Catherine Lai, Gabriel Murray
2018	—	`conf`	The Group Affect and Performance (GAP) Corpus. GIFT@ICMI McKenzie Braley, Gabriel Murray
2017	—	`conf`	Detecting Dementia through Retrospective Analysis of Routine Blog Posts by Bloggers with Dementia. BioNLP Vaden Masrani, Gabriel Murray, Thalia Shoshana Field, Giuseppe Carenini
2017	—	`conf`	Domain Adaptation for Detecting Mild Cognitive Impairment. Canadian AI Vaden Masrani, Gabriel Murray, Thalia Shoshana Field, Giuseppe Carenini
2017	B	`conf`	Markov reward models for analyzing group interaction. ICMI Gabriel Murray
2017	—	`conf`	Modelling Participation in Small Group Social Sequences with Markov Rewards Analysis. NLP+CSS@ACL Gabriel Murray
2017	—	`conf`	Stoic Ethics for Artificial Agents. Canadian AI Gabriel Murray
2017	J	`jnl`	Stoic Ethics for Artificial Agents. CoRR Gabriel Murray
2016	—	`conf`	An Interface for Assisted Curation of Knowledge Bases from Unstructured Text. HICSS Jeremy Wright, Gabriel Murray, Ben Hachey
2016	—	`conf`	Uncovering Hidden Sentiment in Meetings. Canadian AI Gabriel Murray
2015	—	`conf`	Abstractive Meeting Summarization as a Markov Decision Process. Canadian AI Gabriel Murray
2015	—	`conf`	Analyzing Productivity Shifts in Meetings. Canadian AI Gabriel Murray
2015	—	`conf`	UFV in the TAC 2015 Cold Start Knowledge Base Population Track. TAC David Johnson, Gabriel Murray, Jeremy Wright, Benjamin Tremblay
2014	J	`jnl`	Automatic Summarization of Bug Reports. IEEE Trans. Software Eng. Sarah Rastkar, Gail C. Murphy, Gabriel Murray
2014	—	`conf`	Learning How Productive and Unproductive Meetings Differ. Canadian AI Gabriel Murray
2012	A*	`conf`	Methods for mining and summarizing text conversations. SIGIR Giuseppe Carenini, Gabriel Murray
2012	—	`conf`	Using the Omega Index for Evaluating Abstractive Community Detection. EvalMetrics@NAACL-HLT Gabriel Murray, Giuseppe Carenini, Raymond T. Ng
2011	—	`conf`	Exploiting Conversational Features to Detect High-Quality Blog Comments. Canadian AI Nicholas FitzGerald, Giuseppe Carenini, Gabriel Murray, Shafiq R. Joty
2011	—	`book`	Methods for Mining and Summarizing Text Conversations Giuseppe Carenini, Gabriel Murray, Raymond T. Ng
2011	J	`jnl`	Subjectivity detection in spoken and written conversations. Nat. Lang. Eng. Gabriel Murray, Giuseppe Carenini
2011	A	`conf`	Supervised Topic Segmentation of Email Conversations. ICWSM Shafiq R. Joty, Giuseppe Carenini, Gabriel Murray, Raymond T. Ng
2010	A*	`conf`	Exploiting Conversation Structure in Unsupervised Topic Segmentation for Emails. EMNLP Shafiq R. Joty, Giuseppe Carenini, Gabriel Murray, Raymond T. Ng
2010	B	`conf`	Generating and Validating Abstracts of Meeting Conversations: a User Study. INLG Gabriel Murray, Giuseppe Carenini, Raymond T. Ng
2010	—	`conf`	Interpretation and Transformation for Abstracting Conversations. HLT-NAACL Gabriel Murray, Giuseppe Carenini, Raymond T. Ng
2010	—	`conf`	Summarizing software artifacts: a case study of bug reports. ICSE (1) Sarah Rastkar, Gail C. Murphy, Gabriel Murray
2010	A	`conf`	The impact of ASR on abstractive vs. extractive meeting summaries. INTERSPEECH Gabriel Murray, Giuseppe Carenini, Raymond T. Ng
2009	A	`conf`	Detecting subjectivity in multiparty speech. INTERSPEECH Gabriel Murray, Giuseppe Carenini
2009	J	`jnl`	Extrinsic summarization evaluation: A decision audit task. ACM Trans. Speech Lang. Process. Gabriel Murray, Thomas Kleinbauer, Peter Poller, Tilman Becker, Steve Renals, Jonathan Kilgour
2009	A*	`conf`	Predicting Subjectivity in Multimodal Conversations. EMNLP Gabriel Murray, Giuseppe Carenini
2009	A	`conf`	Regression-Based Summarization of Email Conversations. ICWSM Jan Ulrich, Giuseppe Carenini, Gabriel Murray, Raymond T. Ng
2008	—	`conf`	Detecting Action Items in Meetings. MLMI Gabriel Murray, Steve Renals
2008	—	`conf`	Extrinsic Summarization Evaluation: A Decision Audit Task. MLMI Gabriel Murray, Thomas Kleinbauer, Peter Poller, Steve Renals, Jonathan Kilgour, Tilman Becker
2008	—	`conf`	Meta Comments for Summarizing Meeting Speech. MLMI Gabriel Murray, Steve Renals
2008	A*	`conf`	Summarizing Spoken and Written Conversations. EMNLP Gabriel Murray, Giuseppe Carenini
2008	—	`conf`	The University of British Columbia at TAC 2008. TAC Gabriel Murray, Shafiq R. Joty, Giuseppe Carenini, Raymond T. Ng
2007	—	`conf`	Automatic Segmentation and Summarization of Meeting Speech. HLT-NAACL (Demonstrations) Gabriel Murray, Pei-Yun Hsueh, Simon Tucker, Jonathan Kilgour, Jean Carletta, Johanna D. Moore, Steve Renals
2007	—	`conf`	Term-Weighting for Summarization of Multi-party Spoken Dialogues. MLMI Gabriel Murray, Steve Renals
2007	A	`conf`	Towards online speech summarization. INTERSPEECH Gabriel Murray, Steve Renals
2006	A	`conf`	Dialogue act compression via pitch contour preservation. INTERSPEECH Gabriel Murray, Steve Renals
2006	—	`conf`	Incorporating Speaker and Discourse Features into Speech Summarization. HLT-NAACL Gabriel Murray, Steve Renals, Jean Carletta, Johanna D. Moore
2005	—	`conf`	Evaluating Automatic Summaries of Meeting Recordings. IEEvaluation@ACL Gabriel Murray, Steve Renals, Jean Carletta, Johanna D. Moore
2005	A	`conf`	Extractive summarization of meeting recordings. INTERSPEECH Gabriel Murray, Steve Renals, Jean Carletta

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.