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Artificial Intelligence in Higher Education: Perspicacity Relation between Educators and Students [PDF]
, 2022 Artificial intelligence is a system with the nature of human intelligence that can automatically provide knowledge and information to create intelligent applications to make it easier to solve problems such as problem-solving, speech recognition, and ...
Bali, Muhammad Mushfi El Iq +2 more
core +2 more sources
Implicit Estimation of Paragraph Relevance From Eye Movements
Frontiers in Computer Science, 2022 Eye movements were shown to be an effective source of implicit relevance feedback in constrained search and decision-making tasks. Recent research suggests that gaze-based features, extracted from scanpaths over short news articles (g-REL), can reveal ...
Michael Barz +4 more
doaj +1 more source
Sustainable Artificial Intelligence through Continual Learning [PDF]
Proceedings of the 1st International Conference on AI for People: Towards Sustainable AI, CAIP 2021, 20-24 November 2021, Bologna, Italy, 2021 The increasing attention on Artificial Intelligence (AI) regulation has led to the definition of a set of ethical principles grouped into the Sustainable AI framework. In this article, we identify Continual Learning, an active area of AI research, as a promising approach towards the design of systems compliant with the Sustainable AI principles.
Cossu, A., Ziosi, M., Lomonaco, V.
openaire +2 more sources
AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong
Frontiers in Artificial Intelligence, 2023 In recent years, deep neural networks for strategy games have made significant progress. AlphaZero-like frameworks which combine Monte-Carlo tree search with reinforcement learning have been successfully applied to numerous games with perfect information.
Jannis Blüml +5 more
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Using the Mean Absolute Percentage Error for Regression Models [PDF]
, 2015 We study in this paper the consequences of using the Mean Absolute Percentage Error (MAPE) as a measure of quality for regression models. We show that finding the best model under the MAPE is equivalent to doing weighted Mean Absolute Error (MAE ...
De Myttenaere, Arnaud +3 more
core +11 more sources
Deep Learning Techniques for Diabetic Retinopathy Classification: A Survey
IEEE Access, 2022 Diabetic Retinopathy (DR) is a degenerative disease that impacts the eyes and is a consequence of Diabetes mellitus, where high blood glucose levels induce lesions on the eye retina.
Mohammad Z. Atwany +2 more
doaj +1 more source
PUF Modeling Attacks Using Deep Learning and Machine Learning Algorithms
Engineering Proceedings, 2023 The rapid advancement of technology has led to the pervasive presence of electronic devices in our lives, enabling convenience and connectivity. Cryptography offers solutions, but vulnerabilities persist due to physical attacks like malware.
Nelakudite Saadvikaa +4 more
doaj +1 more source
Textual Feature Extraction Using Ant Colony Optimization for Hate Speech Classification
Big Data and Cognitive Computing, 2023 Feature selection and feature extraction have always been of utmost importance owing to their capability to remove redundant and irrelevant features, reduce the vector space size, control the computational time, and improve performance for more accurate ...
Shilpa Gite +6 more
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Feature Extraction of Ophthalmic Images Using Deep Learning and Machine Learning Algorithms
Engineering Proceedings, 2023 Deep learning and Machine Learning Algorithms has become the most popular method for analyzing and extracting features especially in medical images. And feature extraction has made this task much easier.
Tunuri Sundeep +4 more
doaj +1 more source
npj Digital Medicine, 2022 In procedural-based medicine, the technical ability can be a critical determinant of patient outcomes. Psychomotor performance occurs in real-time, hence a continuous assessment is necessary to provide action-oriented feedback and error avoidance ...
Recai Yilmaz +11 more
doaj +1 more source