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2020 – today
- 2024
[j52]Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar
, Robin Cohen, Ahmed Saleh Bataineh:
Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection. Inf. Syst. Frontiers 26(4): 1261-1278 (2024)- [j51]Michael Cormier, Robin Cohen, Richard Mann, Karyn Moffatt, Daniel Vogel, Mengfei Liu, Shangshang Zheng:
Validation of an Improved Vision-Based Web Page Parsing Pipeline. ACM Trans. Web 18(3): 36:1-36:23 (2024) - [c117]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: 22096-22104 - [i14]Dahlia Shehata, Robin Cohen, Charles L. A. Clarke:
Rumour Evaluation with Very Large Language Models. CoRR abs/2404.16859 (2024) - 2023
- [j50]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): 19:1-19:23 (2023) - [j49]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): 5115-5140 (2023) - [c116]Liam Hebert, Lukasz Golab, Pascal Poupart, Robin Cohen:
FedFormer: Contextual Federation with Attention in Reinforcement Learning. AAMAS 2023: 810-818 - [c115]Nanda Kishore Sreenivas, Robin Cohen:
Analyzing the Effectiveness of Stereotypes. ICAART (1) 2023: 181-188 - [i13]Liam Hebert, Lukasz Golab, Robin Cohen:
Predicting Hateful Discussions on Reddit using Graph Transformer Networks and Communal Context. CoRR abs/2301.04248 (2023) - [i12]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 abs/2301.10871 (2023) - [i11]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 abs/2303.12942 (2023) - [i10]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 abs/2307.09312 (2023) - 2022
- [j48]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): 399-425 (2022) - [j47]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: 189-206 (2022) - [c114]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: 163-166 - [c113]Liam Hebert, Lukasz Golab, Robin Cohen:
Predicting Hateful Discussions on Reddit using Graph Transformer Networks and Communal Context. WI/IAT 2022: 9-17 - [i9]Liam Hebert, Lukasz Golab, Pascal Poupart, Robin Cohen:
FedFormer: Contextual Federation with Attention in Reinforcement Learning. CoRR abs/2205.13697 (2022) - 2021
- [c112]Amira Ghenai, Xueguang Ma, Robin Cohen, Karyn Moffatt, Andy Yang, Yipeng Ji:
e-Health for Older Adults: Navigating Misinformation. ICT4AWE 2021: 195-202 - [i8]Gaurav Sahu, Robin Cohen, Olga Vechtomova:
Towards A Multi-agent System for Online Hate Speech Detection. CoRR abs/2105.01129 (2021) - [i7]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 abs/2111.06440 (2021) - 2020
- [j46]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): 539 (2020) - [j45]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: 159-175 (2020) - [c111]Alexandre Parmentier, Robin Cohen:
Personalized Prediction of Trust Links in Social Networks (Student Abstract). AAAI 2020: 13891-13892 - [c110]Rishav Raj Agarwal, Robin Cohen, Lukasz Golab, Alan Tsang:
Locating Influential Agents in Social Networks: Budget-Constrained Seed Set Selection. Canadian AI 2020: 15-28 - [c109]Robin Cohen, Rishav Raj Agarwal, Dhruv Kumar, Alexandre Parmentier, Tsz Him Leung:
Sensitivity to Risk Profiles of Users When Developing AI Systems. Canadian AI 2020: 138-150 - [c108]Alexandre Parmentier, Robin Cohen:
Personalized Multi-Faceted Trust Modeling in Social Networks. Canadian AI 2020: 445-450 - [c107]Shikhar Sakhuja, Robin Cohen:
RideSafe: Detecting Sexual Harassment in Rideshares. Canadian AI 2020: 464-469 - [c106]John A. Doucette, Alan Tsang, Hadi Hosseini, Kate Larson, Robin Cohen:
Inferring True Voting Outcomes in Homophilic Social Networks. AAMAS 2020: 2137-2139 - [c105]Braden Hurl, Robin Cohen, Krzysztof Czarnecki, Steven L. Waslander:
TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data. IV 2020: 341-347 - [c104]Henry Chen, Robin Cohen, Kerstin Dautenhahn, Edith Law, Krzysztof Czarnecki:
Autonomous Vehicle Visual Signals for Pedestrians: Experiments and Design Recommendations. IV 2020: 1819-1826 - [c103]Michael Cormier, Robin Cohen, Karyn Moffatt, Anthony Chan:
Improving viewing of webpages for users with assistive needs: insights into offline testing. WI/IAT 2020: 153-160 - [i6]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 abs/2006.04803 (2020) - [i5]Henry Chen, Robin Cohen, Kerstin Dautenhahn, Edith Law, Krzysztof Czarnecki:
Autonomous Vehicle Visual Signals for Pedestrians: Experiments and Design Recommendations. CoRR abs/2010.05115 (2020)
2010 – 2019
- 2019
- [j44]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): 298-329 (2019) - [c102]Mohammed Alliheedi, Robert E. Mercer, Robin Cohen:
Annotation of Rhetorical Moves in Biochemistry Articles. ArgMining@ACL 2019: 113-123 - [c101]Robin Cohen, Mike Schaekermann, Sihao Liu, Michael Cormier:
Trusted AI and the Contribution of Trust Modeling in Multiagent Systems. AAMAS 2019: 1644-1648 - [c100]Dhruv Kumar, Robin Cohen, Lukasz Golab:
Online abuse detection: the value of preprocessing and neural attention models. WASSA@NAACL-HLT 2019: 16-24 - [c99]Alexandre Parmentier, Robin Cohen:
Learning User Reputation on Reddit. WI 2019: 242-247 - [i4]Braden Hurl, Robin Cohen, Krzysztof Czarnecki, Steven L. Waslander:
TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data. CoRR abs/1909.07867 (2019) - 2018
- [j43]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): 534-567 (2018) - [j42]Graham Pinhey, John A. Doucette, Robin Cohen:
Using reservations for multiagent resource allocation with costly preemption. Multiagent Grid Syst. 14(3): 219-242 (2018) - [j41]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): 17-28 (2018) - [j40]Noel Sardana, Robin Cohen, Jie Zhang, Shuo Chen:
A Bayesian Multiagent Trust Model for Social Networks. IEEE Trans. Comput. Soc. Syst. 5(4): 995-1008 (2018) - [c98]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 - [c97]Yetian Wang, Daniel Friyia, Kanzhe Liu, Robin Cohen:
An Architecture for a Military AI System with Ethical Rules. AAAI Spring Symposia 2018 - [c96]Wasif Khan, Robin Cohen:
A Multiagent Framework for Understanding Addiction. Canadian AI 2018: 169-180 - [c95]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: 271-277 - [c94]Robin Cohen, Peng-Fei Wang, Zehong Hu:
Revisiting Public Reputation Calculation in a Personalized Trust Model. TRUST@AAMAS 2018: 13-24 - [e4]Robin Cohen, Murat Sensoy, Timothy J. Norman:
Proceedings of the 20th International Trust Workshop co-located with AAMAS/IJCAI/ECAI/ICML 2018, Stockholm, Sweden, July 14, 2018. CEUR Workshop Proceedings 2154, CEUR-WS.org 2018 [contents] - 2017
- [c93]John A. Doucette, Robin Cohen:
A Restricted Markov Tree Model for Inference and Generation in Social Choice with Incomplete Preferences. AAMAS 2017: 893-901 - [c92]Michael Cormier, Richard Mann, Karyn Moffatt, Robin Cohen:
Towards an Improved Vision-Based Web Page Segmentation Algorithm. CRV 2017: 345-352 - [c91]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: 23-32 - [i3]Hadi Hosseini, Kate Larson, Robin Cohen:
Investigating the Characteristics of One-Sided Matching Mechanisms Under Various Preferences and Risk Attitudes. CoRR abs/1703.00320 (2017) - 2016
- [j39]Michael Cormier, Karyn Moffatt, Robin Cohen, Richard Mann:
Purely vision-based segmentation of web pages for assistive technology. Comput. Vis. Image Underst. 148: 46-66 (2016) - [j38]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): 319-342 (2016) - [j37]John A. Doucette, Graham Pinhey, Robin Cohen:
Multiagent Resource Allocation for Dynamic Task Arrivals with Preemption. ACM Trans. Intell. Syst. Technol. 8(1): 3:1-3:27 (2016) - [c90]Hadi Hosseini, Kate Larson, Robin Cohen:
Investigating the Characteristics of One-Sided Matching Mechanisms: (Extended Abstract). AAMAS 2016: 1443-1444 - [c89]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: 695-700 - [e3]Jie Zhang, Robin Cohen, Murat Sensoy:
Proceedings of the 18th International Workshop on Trust in Agent Societies co-located with the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), Singapore, Singapore, May 10, 2016. CEUR Workshop Proceedings 1578, CEUR-WS.org 2016 [contents] - [e2]Robin Cohen, Rino Falcone, Timothy J. Norman:
Proceedings of the 17th International Workshop on Trust in Agent Societies co-located with the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014), Paris, France, May 6, 2014. CEUR Workshop Proceedings 1740, CEUR-WS.org 2016 [contents] - 2015
- [j36]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): 54:1-54:41 (2015) - [j35]Aaditeshwar Seth, Jie Zhang, Robin Cohen:
A personalized credibility model for recommending messages in social participatory media environments. World Wide Web 18(1): 111-137 (2015) - [c88]John A. Doucette, Kate Larson, Robin Cohen:
Conventional Machine Learning for Social Choice. AAAI 2015: 858-864 - [c87]Hadi Hosseini, Kate Larson, Robin Cohen:
Matching with Dynamic Ordinal Preferences. AAAI 2015: 936-943 - [c86]Hadi Hosseini, Kate Larson, Robin Cohen:
On Manipulablity of Random Serial Dictatorship in Sequential Matching with Dynamic Preferences. AAAI 2015: 4168-4169 - [c85]John A. Doucette, Robin Cohen:
Content of Annual Reports as a Predictor for Long Term Stock Price Movements. FLAIRS 2015: 416-421 - [i2]Hadi Hosseini, Kate Larson, Robin Cohen:
Random Serial Dictatorship versus Probabilistic Serial Rule: A Tale of Two Random Mechanisms. CoRR abs/1503.01488 (2015) - 2014
- [j34]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): 52-61 (2014) - [j33]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): 203 (2014) - [c84]Thomas T. Tran, Robin Cohen, Eric Langlois:
Establishing Trust in Multiagent Environments: Realizing the Comprehensive Trust Management Dream. TRUST@AAMAS 2014: 35-43 - [c83]Noel Sardana, Robin Cohen:
Modeling agent trustworthiness with credibility for message recommendation in social networks. AAMAS 2014: 1423-1424 - [c82]Graham Pinhey, John A. Doucette, Robin Cohen:
Distributed multiagent resource allocation with adaptive preemption for dynamic tasks. AAMAS 2014: 1441-1442 - [c81]Michael Cormier, Robin Cohen, Richard Mann, Kamal Rahim, Donglin Wang:
A Robust Vision-Based Framework for Screen Readers. ECCV Workshops (3) 2014: 555-569 - [c80]Noel Sardana, Robin Cohen:
Validating trust models against realworld data sets. PST 2014: 355-362 - [c79]Noel Sardana, Robin Cohen:
Demonstrating the value of credibility modeling for trust-based approaches to online message recommendation. PST 2014: 363-370 - [i1]Hadi Hosseini, Jesse Hoey, Robin Cohen:
A Coordinated MDP Approach to Multi-Agent Planning for Resource Allocation, with Applications to Healthcare. CoRR abs/1407.1584 (2014) - 2013
- [j32]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): 112-123 (2013) - [j31]John Champaign, Robin Cohen:
Ecological content sequencing: from simulated students to an effective user study. Int. J. Learn. Technol. 8(4): 337-361 (2013) - [j30]Jie Zhang, Chen Chen, Robin Cohen:
Trust modeling for message relay control and local action decision making in VANETs. Secur. Commun. Networks 6(1): 1-14 (2013) - [j29]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): 24:1-24:22 (2013) - [j28]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): 68:1-68:31 (2013) - [j27]Hongbing Wang, Jie Zhang, Cheng Wan, Shizhi Shao, Robin Cohen:
Qualitative preference-based service selection for multiple agents. Web Intell. Agent Syst. 11(3): 263-282 (2013) - [c78]Dean Shaft, Robin Cohen:
A Multiagent Approach to Ambulance Allocation Based on Social Welfare and Local Search. ICMLA (2) 2013: 384-389 - [c77]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: 445-450 - 2012
- [j26]Jie Zhang, Robin Cohen, Kate Larson:
Combining Trust Modeling and Mechanism Design for promoting Honesty in E-Marketplaces. Comput. Intell. 28(4): 549-578 (2012) - [c76]Hadi Hosseini, Jesse Hoey, Robin Cohen:
A Market-Based Coordination Mechanism for Resource Planning Under Uncertainty. AAAI 2012: 2427-2428 - [c75]Reid Kerr, Robin Cohen:
Detecting and identifying coalitions. AAMAS 2012: 1363-1364 - [c74]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: 454-457 - [c73]John A. Doucette, Atif Khan, Robin Cohen:
A comparative evaluation of an ontological medical decision support system (OMeD) for critical environments. IHI 2012: 703-708 - [c72]John Champaign, Robin Cohen:
Learning from a network of peers via peer-driven adjustment of a corpus. UMAP Workshops 2012 - [c71]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 - [c70]John Champaign, Robin Cohen:
Modeling trustworthiness of peer advice in a framework for presenting Web objects that supports peer commenta. UMAP Workshops 2012 - [c69]John Champaign, Robin Cohen:
Personalized presentation of multimedia objects for home healthcare environments: a peer-based intelligent tutoring approach. UMAP Workshops 2012 - [c68]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 - [c67]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: 76-87 - 2011
- [j25]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): 407-420 (2011) - [j24]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): 441-484 (2011) - [c66]Reid Kerr, Robin Cohen:
Detecting and Identifying Coalitions. Plan, Activity, and Intent Recognition 2011 - [c65]Atif Khan, John A. Doucette, Robin Cohen:
An Ontological Approach for Querying Distributed Heterogeneous Information Systems 76-88. CSWS 2011: 76-88 - [c64]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 2011 - [c63]Joshua Gorner, Jie Zhang, Robin Cohen:
Improving the use of advisor networks for multi-agent trust modelling. PST 2011: 71-78 - [c62]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: 38-49 - 2010
- [j23]Reid Kerr, Robin Cohen:
Trust as a Tradable Commodity: a Foundation for Safe Electronic Marketplaces. Comput. Intell. 26(2): 160-182 (2010) - [j22]Reid Kerr, Robin Cohen:
TREET: the Trust and Reputation Experimentation and Evaluation Testbed. Electron. Commer. Res. 10(3-4): 271-290 (2010) - [j21]Jie Zhang, Chen Chen, Robin Cohen:
A Scalable and Effective Trust-Based Framework for Vehicular Ad-Hoc Networks. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 1(4): 3-15 (2010) - [c61]Hyunggu Jung, Robin Cohen:
A Model for Reasoning about Interaction with Users in Dynamic, Time Critical Environments for the Application of Hospital Decision Making. Canadian AI 2010: 319-323 - [c60]John Champaign, Robin Cohen:
An Annotations Approach to Peer Tutoring. EDM 2010: 231-240 - [c59]John Champaign, Robin Cohen:
A Distillation Approach to Refining Learning Objects. EDM 2010: 283-284 - [c58]John Champaign, Robin Cohen:
A Model for Content Sequencing in Intelligent Tutoring Systems Based on the Ecological Approach and Its Validation Through Simulated Students. FLAIRS 2010 - [c57]Umar Farooq Minhas, Jie Zhang, Thomas T. Tran, Robin Cohen:
Intelligent Agents in Mobile Vehicular Ad-Hoc Networks: Leveraging Trust Modeling Based on Direct Experience with Incentives for Honesty. IAT 2010: 243-247 - [c56]Jie Zhang, Robin Cohen, Kate Larson:
Leveraging a Social Network of Trust for Promoting Honesty in E-Marketplaces. IFIPTM 2010: 216-231 - [c55]John Champaign, Robin Cohen:
Peer-Based Intelligent Tutoring Systems: A Corpus-Oriented Approach. Intelligent Tutoring Systems (2) 2010: 212-214 - [c54]Aaditeshwar Seth, Jie Zhang, Robin Cohen:
Bayesian Credibility Modeling for Personalized Recommendation in Participatory Media. UMAP 2010: 279-290 - [c53]Chen Chen, Jie Zhang, Robin Cohen, Pin-Han Ho:
Secure and Efficient Trust Opinion Aggregation for Vehicular Ad-Hoc Networks. VTC Fall 2010: 1-5 - [c52]