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Found 10 papers, 2 papers with code
A Low-cost Humanoid Prototype Intended to assist people with disability using Raspberry Pi
This paper will try to delineate the making of a Humanoid prototype intended to assist people with disability (PWD).
Neural Fuzzy Extractors: A Secure Way to Use Artificial Neural Networks for Biometric User Authentication
Powered by new advances in sensor development and artificial intelligence, the decreasing cost of computation, and the pervasiveness of handheld computation devices, biometric user authentication (and identification) is rapidly becoming ubiquitous.
Efficient Concept Induction for Description Logics
Concept Induction refers to the problem of creating complex Description Logic class descriptions (i. e., TBox axioms) from instance examples (i. e., ABox data).
Reasoning over RDF Knowledge Bases using Deep Learning
Semantic Web knowledge representation standards, and in particular RDF and OWL, often come endowed with a formal semantics which is considered to be of fundamental importance for the field.
Modeling OWL with Rules: The ROWL Protege Plugin
In our experience, some ontology users find it much easier to convey logical statements using rules rather than OWL (or description logic) axioms.
Rule-based OWL Modeling with ROWLTab Protege Plugin
It has been argued that it is much easier to convey logical statements using rules rather than OWL (or description logic (DL)) axioms.
OWLAx: A Protege Plugin to Support Ontology Axiomatization through Diagramming
Once the conceptual overview, in terms of a somewhat informal class diagram, has been designed in the course of engineering an ontology, the process of adding many of the appropriate logical axioms is mostly a routine task.
Emotion Recognition from Speech based on Relevant Feature and Majority Voting
The employment of the proposed approach can effectively recognize the emotion of human beings in case of social robot, intelligent chat client, call-center of a company etc.
Relating Input Concepts to Convolutional Neural Network Decisions
Many current methods to interpret convolutional neural networks (CNNs) use visualization techniques and words to highlight concepts of the input seemingly relevant to a CNN's decision.
Explaining Trained Neural Networks with Semantic Web Technologies: First Steps
The ever increasing prevalence of publicly available structured data on the World Wide Web enables new applications in a variety of domains.
