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01/30/2023
NeSyFOLD: A System for Generating Logic-based Explanations from Convolutional Neural Networks
We present a novel neurosymbolic system called NeSyFOLD that classifies ...
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08/16/2022
FOLD-SE: Scalable Explainable AI
FOLD-R++ is a highly efficient and explainable rule-based machine learni...
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06/15/2022
FOLD-TR: A Scalable and Efficient Inductive Learning Algorithm for Learning To Rank
FOLD-R++ is a new inductive learning algorithm for binary classification...
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02/14/2022
FOLD-RM: A Scalable and Efficient Inductive Learning Algorithm for Multi-Category Classification of Mixed Data
FOLD-RM is an automated inductive learning algorithm for learning defaul...
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10/17/2021
AUTO-DISCERN: Autonomous Driving Using Common Sense Reasoning
Driving an automobile involves the tasks of observing surroundings, then...
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10/15/2021
FOLD-R++: A Toolset for Automated Inductive Learning of Default Theories from Mixed Data
FOLD-R is an automated inductive learning algorithm for learning default...
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10/11/2021
CASPR: A Commonsense Reasoning-based Conversational Socialbot
We report on the design and development of the CASPR system, a socialbot...
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09/26/2021
A Clustering and Demotion Based Algorithm for Inductive Learning of Default Theories
We present a clustering- and demotion-based algorithm called Kmeans-FOLD...
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09/17/2021
DiscASP: A Graph-based ASP System for Finding Relevant Consistent Concepts with Applications to Conversational Socialbots
We consider the problem of finding relevant consistent concepts in a con...
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04/02/2021
