Results 51 to 60 of about 33,125 (301)
Autism Spectrum Disorder (ASD) is a growing concern worldwide. To date there are no drugs that can treat ASD, hence the treatments that can be administered are mainly supportive in nature and aim to reduce, as much as possible, the symptoms induced by ...
Shamim Al Mamun +14 more
core +1 more source
Intelligent Tutoring Systems for Adult Learning in STEM Disciplines
ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley +1 more source
Solutions based on Artificial Intelligence are being used to solve problems in various domains. However, many people feel uncomfortable with this type of solution because they must understand how it works.
de Camargo, Luiz Felipe [UNESP] +2 more
core +1 more source
Ontologies for Smart Agriculture: A Path Toward Explainable AI—A Systematic Literature Review
Smart agriculture has grown significantly over the last few years, particularly with the integration of advanced technologies (e.g., the Internet of Things, robots, artificial intelligence, etc.), leading to the development of intelligent agricultural ...
Rima Grati +2 more
doaj +1 more source
Fuzzy Networks for Explainable Artificial Intelligence
Advanced machine learning techniques are very powerful in predictive tasks. However, they are mostly weak in explaining the inference process and they are mostly treated as black-box models. Fuzzy Network (FN) is powerful white-box technique which is capable of dealing with complexity and linguistic uncertainty. In this paper, a method is introduced to
Farzad Arabikhan +3 more
openaire +1 more source
ABSTRACT Mental well‐being is central to adult learner success, yet many adult education institutions lack capacity to provide timely and accessible support. This article examines how artificial intelligence (AI) can strengthen mental health–adjacent supports in adult and continuing higher education, with attention to professional practice and ...
Adam L. McClain, Thomas Wade
wiley +1 more source
SeXAI: A Semantic Explainable Artificial Intelligence Framework
The interest in Explainable Artificial Intelligence (XAI) research is dramatically grown during the last few years. The main reason is the need of having systems that beyond being effective are also able to describe how a certain output has been obtained
Ivan Donadello, Mauro Dragoni
core +1 more source
Objective: to study the “right to explanation” in the context of the PEEC doctrine (public interest, environmental sustainability, economic development, criminal justice) in order to develop key performance indicators reflecting the socio-cultural ...
N. Bhatt, J. N. Bhatt
doaj +1 more source
Multidimensional Profiling of MRI‐Negative Temporal Lobe Epilepsy Uncovers Distinct Phenotypes
ABSTRACT Objective Although hippocampal sclerosis (TLE‐HS) represents the most frequent cause of temporal lobe epilepsy (TLE), up to 30% of patients show no lesion on visual MRI inspection (TLE‐MRIneg). These cases pose diagnostic and therapeutic challenges and are underrepresented in surgical series.
Alice Ballerini +28 more
wiley +1 more source
The Enlightening Role of Explainable Artificial Intelligence in Chronic Wound Classification
Artificial Intelligence (AI) has been among the most emerging research and industrial application fields, especially in the healthcare domain, but operated as a black-box model with a limited understanding of its inner working over the past decades.
Guler, Ozgur +9 more
core +1 more source

