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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, Michael Barz, Omair Shahzad Bhatti, Daniel Sonntag, Daniel Sonntag   +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, Jannis Blüml, Johannes Czech, Kristian Kersting, Kristian Kersting, Kristian Kersting   +5 more
doaj   +1 more source

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, Abdulwahab H. Sahyoun, Mohammad Yaqub   +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, Kenneth Jonathan Saketi, Akshitha Gopishetti, Bhavitha Degala, Kiran Kumar Anumandla   +4 more
doaj   +1 more source

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, Uppalapati Divyasree, Karumanchi Tejaswi, Ummadi Reddy Vinithanjali, Anumandla Kiran Kumar   +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, Shruti Patil, Deepak Dharrao, Madhuri Yadav, Sneha Basak, Arundarasi Rajendran, Ketan Kotecha   +6 more
doaj   +1 more source

Artificial Intelligence (AI) on Learning Process

SSRN Electronic Journal, 2023
Artificial intelligence (AI) is a helpful technology. By providing college students with more individualized and productive learning environments, they support education. This research examines how artificial intelligence (AI) works in education and enhances teaching and learning results for Mindoro State University students and teachers.
null Shaun Kim Sopera, null John Stephen Alaban, null Zaira Briones, null Nicko A. Magnaye   +3 more
openaire   +1 more source

Continuous monitoring of surgical bimanual expertise using deep neural networks in virtual reality simulation

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, Alexander Winkler-Schwartz, Nykan Mirchi, Aiden Reich, Sommer Christie, Dan Huy Tran, Nicole Ledwos, Ali M. Fazlollahi, Carlo Santaguida, Abdulrahman J. Sabbagh, Khalid Bajunaid, Rolando Del Maestro   +11 more
doaj   +1 more source

Reinforcement Learning Approach to Stochastic Vehicle Routing Problem With Correlated Demands

IEEE Access, 2023
We present a novel end-to-end framework for solving the Vehicle Routing Problem with stochastic demands (VRPSD) using Reinforcement Learning (RL). Our formulation incorporates the correlation between stochastic demands through other observable stochastic
Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takac   +3 more
doaj   +1 more source