research
∙
09/05/2023
Self-Supervised Pretraining Improves Performance and Inference Efficiency in Multiple Lung Ultrasound Interpretation Tasks
In this study, we investigated whether self-supervised pretraining could...
share
research
∙
09/05/2023
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Images
Self-supervised pretraining has been observed to be effective at improvi...
research
∙
04/05/2023
Exploring the Utility of Self-Supervised Pretraining Strategies for the Detection of Absent Lung Sliding in M-Mode Lung Ultrasound
Self-supervised pretraining has been observed to improve performance in ...
research
∙
08/05/2022
Identity and Dynamic Teams in Social Dilemmas
We present our preliminary work on a multi-agent system involving the co...
research
∙
05/02/2022
A Novel Approach to Fairness in Automated Decision-Making using Affective Normalization
Any decision, such as one about who to hire, involves two components. Fi...
research
∙
10/27/2021
Dream to Explore: Adaptive Simulations for Autonomous Systems
One's ability to learn a generative model of the world without supervisi...
research
∙
09/09/2021
Trust-ya: design of a multiplayer game for the study of small group processes
This paper presents the design of a cooperative multi-player betting gam...
research
∙
11/24/2020
The Human Effect Requires Affect: Addressing Social-Psychological Factors of Climate Change with Machine Learning
Machine learning has the potential to aid in mitigating the human effect...
research
∙
03/07/2020
Generating Emotionally Aligned Responses in Dialogues using Affect Control Theory
State-of-the-art neural dialogue systems excel at syntactic and semantic...
research
∙
02/12/2020
Multi-Agent Reinforcement Learning and Human Social Factors in Climate Change Mitigation
Many complex real-world problems, such as climate change mitigation, are...
research
∙
10/18/2019
Follow Alice into the Rabbit Hole: Giving Dialogue Agents Understanding of Human Level Attributes
For conversational AI and virtual assistants to communicate with humans ...
research
∙
08/30/2019
Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange
In this paper, we present a novel method for measurably adjusting the se...
research
∙
08/08/2019
"Conservatives Overfit, Liberals Underfit": The Social-Psychological Control of Affect and Uncertainty
The presence of artificial agents in human social networks is growing. F...
research
∙
03/10/2019
Improving Humanness of Virtual Agents and Users' Cooperation through Emotions
In this paper, we analyze the performance of an agent developed accordin...
research
∙
09/12/2017
Affective Neural Response Generation
Existing neural conversational models process natural language primarily...
research
∙
03/28/2017
Semi-Supervised Affective Meaning Lexicon Expansion Using Semantic and Distributed Word Representations
In this paper, we propose an extension to graph-based sentiment lexicon ...
research
∙
04/08/2015
Detecting Falls with X-Factor Hidden Markov Models
Identification of falls while performing normal activities of daily livi...
research
∙
07/07/2014
A Coordinated MDP Approach to Multi-Agent Planning for Resource Allocation, with Applications to Healthcare
This paper considers a novel approach to scalable multiagent resource al...
research
∙
06/22/2013
Affect Control Processes: Intelligent Affective Interaction using a Partially Observable Markov Decision Process
This paper describes a novel method for building affectively intelligent...
research
∙
01/23/2013