Showing 141–160 of 199 results
/ Date/ Name
Aug 13, 2022Happiness Maximizing Sets under Group Fairness Constraints (Technical Report)Jul 21, 2022FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous DataJun 30, 2022Uniting Machine Intelligence, Brain and Behavioural Sciences to Assist Criminal JusticeFeb 3, 2022Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcareJan 19, 2022When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgement Based on Empirical DataJan 10, 2022Automated Detection of Missing Links in Bicycle NetworksNov 12, 2021A lightweight blockchain-based access control scheme for integrated edge computing in the internet of thingsNov 3, 2021Shifting Polarization and Twitter News Influencers between two U.S. Presidential ElectionsAug 27, 2021A comparison of approaches to improve worst-case predictive model performance over patient subpopulationsAug 9, 2021Legislator Representation Learning with Social Context and Expert KnowledgeAug 9, 2021KGAP: Knowledge Graph Augmented Political Perspective Detection in News MediaJul 20, 2021Readability Research: An Interdisciplinary ApproachJun 30, 2021Optimal Epidemic Control as a Contextual Combinatorial Bandit with BudgetJun 14, 2021Characterizing the risk of fairwashingJun 14, 2021A Recipe for Social Media AnalysisApr 17, 2021Jump on the Bandwagon? -- Characterizing Bandwagon Phenomenon in Online NBA Fan CommunitiesMar 10, 2021Deep Sensing of Urban WaterloggingFeb 25, 2021Urban Building Energy Modeling (UBEM) Tools: A State-of-the-Art Review of bottom-up physics-based approachesFeb 12, 2021Technical Challenges for Training Fair Neural NetworksOct 6, 2020Towards a Policy-as-a-Service Framework to Enable Compliant, Trustworthy AI and HRI Systems in the Wild