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Malaria detection from RBC images using shallow Convolutional Neural Networks
The advent of Deep Learning models like VGG-16 and Resnet-50 has considerably revolutionized the field of image classification, and by using these Convolutional Neural Networks (CNN) architectures, one can get a high classification accuracy on a wide variety of image datasets.
A Simple Approach to Classify Fictional and Non-Fictional Genres
In this work, we deploy a logistic regression classifier to ascertain whether a given document belongs to the fiction or non-fiction genre.
Open-endedness in AI systems, cellular evolution and intellectual discussions
One of the biggest challenges that artificial intelligence (AI) research is facing in recent times is to develop algorithms and systems that are not only good at performing a specific intelligent task but also good at learning a very diverse of skills somewhat like humans do.
Formal Ontology Learning on Factual IS-A Corpus in English using Description Logics
Hence, we also claim that such sentences requires special studies in the context of OL before any truly formal OL can be proposed.
Description Logics based Formalization of Wh-Queries
The problem of Natural Language Query Formalization (NLQF) is to translate a given user query in natural language (NL) into a formal language so that the semantic interpretation has equivalence with the NL interpretation.
DLOLIS-A: Description Logic based Text Ontology Learning
Researchers in this field have been motivated by the possibility of automatically building a knowledge base on top of text documents so as to support reasoning based knowledge extraction.
