Robin Cohen

ORCID

Publication Activity (10 Years)

Years Active: 1977-2024
Publications (10 Years): 55

Top Venues

CoRR

AAMAS

Canadian Conference on AI

AAAI

Publications

Dahlia Shehata, Robin Cohen, Charles L. A. Clarke
Rumour Evaluation with Very Large Language Models. CoRR (2024)
Liam Hebert, Gaurav Sahu, Yuxuan Guo, Nanda Kishore Sreenivas, Lukasz Golab, Robin Cohen
Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media. AAAI (2024)
Nanda Kishore Sreenivas, Robin Cohen
Analyzing the Effectiveness of Stereotypes. ICAART (1) (2023)
Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni, Alyssa Song, Robin Cohen, Hadi Otrok, Azzam Mourad
A Survey on Explainable Artificial Intelligence for Network Cybersecurity. CoRR (2023)
Amira Ghenai, Philips Ayeni, Jing Yu, Robin Cohen, Karyn Moffatt
Guidelines for Designing Social Networking Sites for Older Adults: A Systematic Review with Thematic Synthesis. ACM Trans. Access. Comput. 16 (3) (2023)
Liam Hebert, Gaurav Sahu, Nanda Kishore Sreenivas, Lukasz Golab, Robin Cohen
Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media. CoRR (2023)
Liam Hebert, Lukasz Golab, Robin Cohen
Predicting Hateful Discussions on Reddit using Graph Transformer Networks and Communal Context. CoRR (2023)
Liam Hebert, Hong Yi Chen, Robin Cohen, Lukasz Golab
Qualitative Analysis of a Graph Transformer Approach to Addressing Hate Speech: Adapting to Dynamically Changing Content. CoRR (2023)
Liam Hebert, Lukasz Golab, Pascal Poupart, Robin Cohen
FedFormer: Contextual Federation with Attention in Reinforcement Learning. AAMAS (2023)
Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni, Alyssa Song, Robin Cohen, Hadi Otrok, Azzam Mourad
A Survey on Explainable Artificial Intelligence for Cybersecurity. IEEE Trans. Netw. Serv. Manag. 20 (4) (2023)
Liam Hebert, Lukasz Golab, Robin Cohen
Predicting Hateful Discussions on Reddit using Graph Transformer Networks and Communal Context. WI/IAT (2022)
Omar Abdel Wahab, Gaith Rjoub, Jamal Bentahar, Robin Cohen
Federated against the cold: A trust-based federated learning approach to counter the cold start problem in recommendation systems. Inf. Sci. 601 (2022)
Alexandre Parmentier, Robin Cohen, Xueguang Ma, Gaurav Sahu, Queenie Chen
Personalized multi-faceted trust modeling to determine trust links in social media and its potential for misinformation management. Int. J. Data Sci. Anal. 13 (4) (2022)
Liam Hebert, Lukasz Golab, Pascal Poupart, Robin Cohen
FedFormer: Contextual Federation with Attention in Reinforcement Learning. CoRR (2022)
Owen Chambers, Robin Cohen, Maura R. Grossman, Queenie Chen
Creating a User Model to Support User-specific Explanations of AI Systems. UMAP (Adjunct Publication) (2022)
Amira Ghenai, Xueguang Ma, Robin Cohen, Karyn Moffatt, Andy Yang, Yipeng Ji
e-Health for Older Adults: Navigating Misinformation. ICT4AWE (2021)
Alexandre Parmentier, Robin Cohen, Xueguang Ma, Gaurav Sahu, Queenie Chen
Personalized multi-faceted trust modeling to determine trust links in social media and its potential for misinformation management. CoRR (2021)
Gaurav Sahu, Robin Cohen, Olga Vechtomova
Towards A Multi-agent System for Online Hate Speech Detection. CoRR (2021)
Robin Cohen, Karyn Moffatt, Amira Ghenai, Andy Yang, Margaret Corwin, Gary Lin, Raymond Zhao, Yipeng Ji, Alexandre Parmentier, Jason P'ng, Wil Tan, Lachlan Gray
Addressing Misinformation in Online Social Networks: Diverse Platforms and the Potential of Multiagent Trust Modeling. Inf. 11 (11) (2020)
Robin Cohen, Rishav Raj Agarwal, Dhruv Kumar, Alexandre Parmentier, Tsz Him Leung
Sensitivity to Risk Profiles of Users When Developing AI Systems. Canadian Conference on AI (2020)
Omar Abdel Wahab, Robin Cohen, Jamal Bentahar, Hadi Otrok, Azzam Mourad, Gaith Rjoub
An endorsement-based trust bootstrapping approach for newcomer cloud services. Inf. Sci. 527 (2020)
Rishav Raj Agarwal, Robin Cohen, Lukasz Golab, Alan Tsang
Locating Influential Agents in Social Networks: Budget-Constrained Seed Set Selection. Canadian Conference on AI (2020)
Henry Chen, Robin Cohen, Kerstin Dautenhahn, Edith Law, Krzysztof Czarnecki
Autonomous Vehicle Visual Signals for Pedestrians: Experiments and Design Recommendations. CoRR (2020)
Alexandre Parmentier, Robin Cohen
Personalized Prediction of Trust Links in Social Networks (Student Abstract). AAAI (2020)
Alexandre Parmentier, Robin Cohen
Personalized Multi-Faceted Trust Modeling in Social Networks. Canadian Conference on AI (2020)
Shikhar Sakhuja, Robin Cohen
RideSafe: Detecting Sexual Harassment in Rideshares. Canadian Conference on AI (2020)
Henry Chen, Robin Cohen, Kerstin Dautenhahn, Edith Law, Krzysztof Czarnecki
Autonomous Vehicle Visual Signals for Pedestrians: Experiments and Design Recommendations. IV (2020)
John A. Doucette, Alan Tsang, Hadi Hosseini, Kate Larson, Robin Cohen
Inferring True Voting Outcomes in Homophilic Social Networks. AAMAS (2020)
Michael Cormier, Robin Cohen, Karyn Moffatt, Anthony Chan
Improving viewing of webpages for users with assistive needs: insights into offline testing. WI/IAT (2020)
Omar Abdel Wahab, Jamal Bentahar, Robin Cohen, Hadi Otrok, Azzam Mourad
A two-level solution to fight against dishonest opinions in recommendation-based trust systems. CoRR (2020)
Braden Hurl, Robin Cohen, Krzysztof Czarnecki, Steven L. Waslander
TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data. IV (2020)
Alexandre Parmentier, Robin Cohen
Learning User Reputation on Reddit. WI (2019)
Robin Cohen, Mike Schaekermann, Sihao Liu, Michael Cormier
Trusted AI and the Contribution of Trust Modeling in Multiagent Systems. AAMAS (2019)
Dhruv Kumar, Robin Cohen, Lukasz Golab
Online abuse detection: the value of preprocessing and neural attention models. WASSA@NAACL-HLT (2019)
Mohammed Alliheedi, Robert E. Mercer, Robin Cohen
Annotation of Rhetorical Moves in Biochemistry Articles. ArgMining@ACL (2019)
Braden Hurl, Robin Cohen, Krzysztof Czarnecki, Steven L. Waslander
TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data. CoRR (2019)
John A. Doucette, Alan Tsang, Hadi Hosseini, Kate Larson, Robin Cohen
Inferring true voting outcomes in homophilic social networks. Auton. Agents Multi Agent Syst. 33 (3) (2019)
Nolan P. Shaw, Andreas Stöckel, Ryan W. Orr, Thomas Finn Lidbetter, Robin Cohen
Towards Provably Moral AI Agents in Bottom-Up Learning Frameworks. AAAI Spring Symposia (2018)
Robin Cohen, Peng-Fei Wang, Zehong Hu
Revisiting Public Reputation Calculation in a Personalized Trust Model. TRUST@AAMAS (2018)
Noel Sardana, Robin Cohen, Jie Zhang, Shuo Chen
A Bayesian Multiagent Trust Model for Social Networks. IEEE Trans. Comput. Soc. Syst. 5 (4) (2018)
Graham Pinhey, John A. Doucette, Robin Cohen
Using reservations for multiagent resource allocation with costly preemption. Multiagent Grid Syst. 14 (3) (2018)
Yetian Wang, Daniel Friyia, Kanzhe Liu, Robin Cohen
An Architecture for a Military AI System with Ethical Rules. AAAI Spring Symposia (2018)
Robin Cohen, Nivedha Mathiarasu, R. Aarif, S. Ansari, D. Fraser, M. Hegde, J. Henderson, I. Kajic, A. Khan, Z. Liao, Aitziber Mancisidor, S. Nagpal, A. Pham, A. Saini, J. Shen, H. Singh, Cátia Tavares, S. Thandra
An education-based approach to aid in the prevention of cyberbullying. SIGCAS Comput. Soc. 47 (4) (2018)
Wasif Khan, Robin Cohen
A Multiagent Framework for Understanding Addiction. Canadian Conference on AI (2018)
Hadi Hosseini, Kate Larson, Robin Cohen
Investigating the characteristics of one-sided matching mechanisms under various preferences and risk attitudes. Auton. Agents Multi Agent Syst. 32 (4) (2018)
Nolan P. Shaw, Andreas Stöckel, Ryan W. Orr, Thomas Finn Lidbetter, Robin Cohen
Towards Provably Moral AI Agents in Bottom-up Learning Frameworks. AIES (2018)
Daniel Ohashi, Robin Cohen, Xiaotian Fu
The Current State of Online Social Networking for the Health Community: Where Trust Modeling Research May Be of Value. DH (2017)
John A. Doucette, Robin Cohen
A Restricted Markov Tree Model for Inference and Generation in Social Choice with Incomplete Preferences. AAMAS (2017)
Michael Cormier, Richard Mann, Karyn Moffatt, Robin Cohen
Towards an Improved Vision-Based Web Page Segmentation Algorithm. CRV (2017)
Hadi Hosseini, Kate Larson, Robin Cohen
Investigating the Characteristics of One-Sided Matching Mechanisms Under Various Preferences and Risk Attitudes. CoRR (2017)
Michael Cormier, Karyn Moffatt, Robin Cohen, Richard Mann
Purely vision-based segmentation of web pages for assistive technology. Comput. Vis. Image Underst. 148 (2016)
John A. Doucette, Graham Pinhey, Robin Cohen
Multiagent Resource Allocation for Dynamic Task Arrivals with Preemption. ACM Trans. Intell. Syst. Technol. 8 (1) (2016)
Robin Cohen, John Finnson, Thomas T. Tran, Jie Zhang
An ontological representation for trust-based decision making in transportation environments. Multiagent Grid Syst. 12 (4) (2016)
Michael Cormier, Richard Mann, Robin Cohen, Karyn Moffatt
Classification via Hidden Markov Trees for a Vision-Based Approach to Conveying Webpages to Users with Assistive Needs. WI (2016)
Hadi Hosseini, Kate Larson, Robin Cohen
Investigating the Characteristics of One-Sided Matching Mechanisms: (Extended Abstract). AAMAS (2016)
John A. Doucette, Kate Larson, Robin Cohen
Conventional Machine Learning for Social Choice. AAAI (2015)
John A. Doucette, Robin Cohen
Content of Annual Reports as a Predictor for Long Term Stock Price Movements. FLAIRS Conference (2015)
Hadi Hosseini, Kate Larson, Robin Cohen
Random Serial Dictatorship versus Probabilistic Serial Rule: A Tale of Two Random Mechanisms. CoRR (2015)
John Champaign, Robin Cohen, Disney Yan Lam
Empowering Patients and Caregivers to Manage Healthcare Via Streamlined Presentation of Web Objects Selected by Modeling Learning Benefits Obtained by Similar Peers. ACM Trans. Intell. Syst. Technol. 6 (4) (2015)
Hadi Hosseini, Kate Larson, Robin Cohen
On Manipulablity of Random Serial Dictatorship in Sequential Matching with Dynamic Preferences. AAAI (2015)
Aaditeshwar Seth, Jie Zhang, Robin Cohen
A personalized credibility model for recommending messages in social participatory media environments. World Wide Web 18 (1) (2015)
Hadi Hosseini, Kate Larson, Robin Cohen
Matching with Dynamic Ordinal Preferences. AAAI (2015)
Michael Cormier, Robin Cohen, Richard Mann, Kamal Rahim, Donglin Wang
A Robust Vision-Based Framework for Screen Readers. ECCV Workshops (3) (2014)
Thomas T. Tran, Robin Cohen, Eric Langlois
Establishing Trust in Multiagent Environments: Realizing the Comprehensive Trust Management Dream. TRUST@AAMAS (2014)
Noel Sardana, Robin Cohen
Validating trust models against realworld data sets. PST (2014)
Noel Sardana, Robin Cohen
Modeling agent trustworthiness with credibility for message recommendation in social networks. AAMAS (2014)
Noel Sardana, Robin Cohen
Demonstrating the value of credibility modeling for trust-based approaches to online message recommendation. PST (2014)
Hadi Hosseini, Jesse Hoey, Robin Cohen
A Coordinated MDP Approach to Multi-Agent Planning for Resource Allocation, with Applications to Healthcare. CoRR (2014)
Graham Pinhey, John A. Doucette, Robin Cohen
Distributed multiagent resource allocation with adaptive preemption for dynamic tasks. AAMAS (2014)
John Champaign, Robin Cohen, Noel Sardana, John A. Doucette
A framework to restrict viewing of peer commentary on Web objects based on trust modeling. Soc. Netw. Anal. Min. 4 (1) (2014)
Robin Cohen, Disney Yan Lam, Nikhil Agarwal, Michael Cormier, Jasmeet Jagdev, Tianqi Jin, Madhur Kukreti, Jiawei Liu, Kamal Rahim, Rahul Rawat, W. Sun, Donglin Wang, M. Wexler
Using computer technology to address the problem of cyberbullying. SIGCAS Comput. Soc. 44 (2) (2014)
Jie Zhang, Chen Chen, Robin Cohen
Trust modeling for message relay control and local action decision making in VANETs. Secur. Commun. Networks 6 (1) (2013)
Hongbing Wang, Jie Zhang, Cheng Wan, Shizhi Shao, Robin Cohen
Qualitative preference-based service selection for multiple agents. Web Intell. Agent Syst. 11 (3) (2013)
Jie Zhang, Robin Cohen
A framework for trust modeling in multiagent electronic marketplaces with buying advisors to consider varying seller behavior and the limiting of seller bids. ACM Trans. Intell. Syst. Technol. 4 (2) (2013)
Atif Khan, John A. Doucette, Robin Cohen
Validation of an ontological medical decision support system for patient treatment using a repository of patient data: Insights into the value of machine learning. ACM Trans. Intell. Syst. Technol. 4 (4) (2013)
John Champaign, Robin Cohen
Ecological content sequencing: from simulated students to an effective user study. Int. J. Learn. Technol. 8 (4) (2013)
Robin Cohen, Noel Sardana, Kamal Rahim, Disney Yan Lam, M. Li, O. Maccarthy, E. Woo, Jie Zhang, Guibing Guo
Recommending Messages to Users in Social Networks: A Cross-Site Study. ICMLA (2) (2013)
Joshua Gorner, Jie Zhang, Robin Cohen
Improving trust modeling through the limit of advisor network size and use of referrals. Electron. Commer. Res. Appl. 12 (2) (2013)
Dean Shaft, Robin Cohen
A Multiagent Approach to Ambulance Allocation Based on Social Welfare and Local Search. ICMLA (2) (2013)
John Finnson, Jie Zhang, Thomas T. Tran, Umar Farooq Minhas, Robin Cohen
A Framework for Modeling Trustworthiness of Users in Mobile Vehicular Ad-Hoc Networks and Its Validation through Simulated Traffic Flow. UMAP (2012)
Hadi Hosseini, Jesse Hoey, Robin Cohen
A Market-Based Coordination Mechanism for Resource Planning Under Uncertainty. AAAI (2012)
John Champaign, Robin Cohen
Selective presentation of peer commentary on Web objects through a modeling of user similarity and reputability: reducing information overload in social networks. UMAP Workshops (2012)
John A. Doucette, Atif Khan, Robin Cohen
A comparative evaluation of an ontological medical decision support system (OMeD) for critical environments. IHI (2012)
John Champaign, Robin Cohen
Modeling trustworthiness of peer advice in a framework for presenting Web objects that supports peer commenta. UMAP Workshops (2012)
John Finnson, Robin Cohen, Jie Zhang, Thomas T. Tran, Umar Farooq Minhas
Reasoning about user trustworthiness with non-binary advice from peers. UMAP Workshops (2012)
John Champaign, Robin Cohen
Personalized presentation of multimedia objects for home healthcare environments: a peer-based intelligent tutoring approach. UMAP Workshops (2012)
Atif Khan, John A. Doucette, Robin Cohen, Daniel J. Lizotte
Integrating Machine Learning Into a Medical Decision Support System to Address the Problem of Missing Patient Data. ICMLA (1) (2012)
Jie Zhang, Robin Cohen, Kate Larson
Combining Trust Modeling and Mechanism Design for promoting Honesty in E-Marketplaces. Comput. Intell. 28 (4) (2012)
John Champaign, Robin Cohen
Learning from a network of peers via peer-driven adjustment of a corpus. UMAP Workshops (2012)
Reid Kerr, Robin Cohen
Detecting and identifying coalitions. AAMAS (2012)
Joshua Gorner, Jie Zhang, Robin Cohen
Improving the use of advisor networks for multi-agent trust modelling. PST (2011)
Reid Kerr, Robin Cohen
Detecting and Identifying Coalitions. Plan, Activity, and Intent Recognition (2011)
Umar Farooq Minhas, Jie Zhang, Thomas T. Tran, Robin Cohen
A Multifaceted Approach to Modeling Agent Trust for Effective Communication in the Application of Mobile Ad Hoc Vehicular Networks. IEEE Trans. Syst. Man Cybern. Part C 41 (3) (2011)
John Champaign, Robin Cohen
Exploring the Effects of Errors in Assessment and Time Requirements of Learning Objects in a Peer-Based Intelligent Tutoring System. FLAIRS Conference (2011)
Robin Cohen, Hyunggu Jung, Michael W. Fleming, Michael Y. K. Cheng
A user modeling approach for reasoning about interaction sensitive to bother and its application to hospital decision scenarios. User Model. User Adapt. Interact. 21 (4-5) (2011)
John Champaign, Jie Zhang, Robin Cohen
Coping with Poor Advice from Peers in Peer-Based Intelligent Tutoring: The Case of Avoiding Bad Annotations of Learning Objects. UMAP (2011)
Atif Khan, John A. Doucette, Robin Cohen
An Ontological Approach for Querying Distributed Heterogeneous Information Systems 76-88. CSWS (2011)
John Champaign, Robin Cohen
An Annotations Approach to Peer Tutoring. EDM (2010)
Reid Kerr, Robin Cohen
TREET: the Trust and Reputation Experimentation and Evaluation Testbed. Electron. Commer. Res. 10 (3-4) (2010)
Hongbing Wang, Jie Zhang, Cheng Wan, Shizhi Shao, Robin Cohen, Junjie Xu, Peicheng Li
Web Service Selection for Multiple Agents with Incomplete Preferences. Web Intelligence (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Robin Cohen