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08/08/2023
Understanding CNN Hidden Neuron Activations Using Structured Background Knowledge and Deductive Reasoning
A major challenge in Explainable AI is in correctly interpreting activat...
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01/23/2023
Explaining Deep Learning Hidden Neuron Activations using Concept Induction
One of the current key challenges in Explainable AI is in correctly inte...
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09/27/2022
Towards Human-Compatible XAI: Explaining Data Differentials with Concept Induction over Background Knowledge
Concept induction, which is based on formal logical reasoning over descr...
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05/11/2021
Neuro-Symbolic Artificial Intelligence: Current Trends
Neuro-Symbolic Artificial Intelligence – the combination of symbolic met...
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03/18/2020
Neural Fuzzy Extractors: A Secure Way to Use Artificial Neural Networks for Biometric User Authentication
Powered by new advances in sensor development and artificial intelligenc...
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12/08/2018
Efficient Concept Induction for Description Logics
Concept Induction refers to the problem of creating complex Description ...
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11/09/2018
Reasoning over RDF Knowledge Bases using Deep Learning
Semantic Web knowledge representation standards, and in particular RDF a...
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08/30/2018
Rule-based OWL Modeling with ROWLTab Protege Plugin
It has been argued that it is much easier to convey logical statements u...
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08/30/2018
OWLAx: A Protege Plugin to Support Ontology Axiomatization through Diagramming
Once the conceptual overview, in terms of a somewhat informal class diag...
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08/30/2018
Modeling OWL with Rules: The ROWL Protege Plugin
In our experience, some ontology users find it much easier to convey log...
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07/11/2018
Emotion Recognition from Speech based on Relevant Feature and Majority Voting
This paper proposes an approach to detect emotion from human speech empl...
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11/21/2017
Relating Input Concepts to Convolutional Neural Network Decisions
Many current methods to interpret convolutional neural networks (CNNs) u...
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10/11/2017