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04/07/2023
Towards Inclusive Fairness Evaluation via Eliciting Disagreement Feedback from Non-Expert Stakeholders
Traditional algorithmic fairness notions rely on label feedback, which c...
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08/14/2022
Convolutional Spiking Neural Networks for Detecting Anticipatory Brain Potentials Using Electroencephalogram
Spiking neural networks (SNNs) are receiving increased attention as a me...
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02/16/2022
On Learning and Enforcing Latent Assessment Models using Binary Feedback from Human Auditors Regarding Black-Box Classifiers
Algorithmic fairness literature presents numerous mathematical notions a...
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11/30/2021
Maximizing Social Welfare in Selfish Multi-Modal Routing using Strategic Information Design for Quantal Response Travelers
Traditional selfish routing literature quantifies inefficiency in transp...
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07/21/2021
Online-Learning Deep Neuro-Adaptive Dynamic Inversion Controller for Model Free Control
Adaptive methods are popular within the control literature due to the fl...
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07/21/2021
Strategic Mitigation of Agent Inattention in Drivers with Open-Quantum Cognition Models
State-of-the-art driver-assist systems have failed to effectively mitiga...
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06/29/2021
Non-Comparative Fairness for Human-Auditing and Its Relation to Traditional Fairness Notions
Bias evaluation in machine-learning based services (MLS) based on tradit...
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06/04/2021
On the Design of Strategic Task Recommendations for Sustainable Crowdsourcing-Based Content Moderation
Crowdsourcing-based content moderation is a platform that hosts content ...
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09/09/2020
On the Identification of Fair Auditors to Evaluate Recommender Systems based on a Novel Non-Comparative Fairness Notion
Decision-support systems are information systems that offer support to p...
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05/12/2020
A Difficulty in Controlling Blockchain Mining Costs via Cryptopuzzle Difficulty
Blockchain systems often employ proof-of-work consensus protocols to val...
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05/12/2020
On Stackelberg Signaling and its Impact on Receiver's Trust in Personalized Recommender Systems
Recommender systems have relied on many intelligent technologies (e.g. m...
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04/10/2019
On Maximizing Task Throughput in IoT-enabled 5G Networks under Latency and Bandwidth Constraints
Fog computing in 5G networks has played a significant role in increasing...
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02/19/2018
On Estimating Multi-Attribute Choice Preferences using Private Signals and Matrix Factorization
Revealed preference theory studies the possibility of modeling an agent'...
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08/14/2017
