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Chapter and Conference Paper
An Ontological Approach for Recommending a Feature Selection Algorithm
Feature selection plays an important role in machine learning or data mining problems. Removing irrelevant features increases model accuracy and reduces the computational cost. However, selecting important fea...
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Chapter and Conference Paper
Explainable Artificial Intelligence: Concepts, Applications, Research Challenges and Visions
The development of theory, frameworks and tools for Explainable AI (XAI) is a very active area of research these days, and articulating any kind of coherence on a vision and challenges is itself a challenge. A...
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Chapter
Enhancing Social Search: A Computational Collective Intelligence Model of Behavioural Traits, Trust and Time
The Web has been growing in size and with the proliferation of large-scale collaborative computing environments, Social Search has become increasingly important. This recent field focuses on assigning relevanc...