Results 41 to 50 of about 1,888,792 (317)
A review of machine learning in scanpath analysis for passive gaze-based interaction
Frontiers in Artificial IntelligenceThe scanpath is an important concept in eye tracking. It refers to a person's eye movements over a period of time, commonly represented as a series of alternating fixations and saccades.
Abdulrahman Mohamed Selim +6 more
doaj +1 more source
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology
Machine Learning and Knowledge Extraction, 2021 Machine learning is an established and frequently used technique in industry and academia, but a standard process model to improve success and efficiency of machine learning applications is still missing.
Stefan Studer +6 more
doaj +1 more source
A fuzzified BRAIN algorithm for learning DNF from incomplete data [PDF]
, 2011 Aim of this paper is to address the problem of learning Boolean functions from training data with missing values. We present an extension of the BRAIN algorithm, called U-BRAIN (Uncertainty-managing Batch Relevance-based Artificial INtelligence ...
Rampone, Salvatore, Russo, Ciro
core +3 more sources
Applied Sciences, 2023 Artificial intelligence (AI) technologies are used in many dimensions of our lives, including education. Motivated by the increasing use of AI technologies and the current state of the art, this study examines research on AI from the perspective of ...
Murat Ertan Doğan +2 more
semanticscholar +1 more source
Examples of Artificial Perceptions in Optical Character Recognition and Iris Recognition
, 2012 This paper assumes the hypothesis that human learning is perception based, and consequently, the learning process and perceptions should not be represented and investigated independently or modeled in different simulation spaces.
A.M. Turing +6 more
core +1 more source
Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence
Cognitive Computation, 2023 Recent years have seen a tremendous growth in Artificial Intelligence (AI)-based methodological development in a broad range of domains. In this rapidly evolving field, large number of methods are being reported using machine learning (ML) and Deep ...
Vikas Hassija +9 more
semanticscholar +1 more source
Scientific ReportsMedical images have become indispensable for decision-making and significantly affect treatment planning. However, increasing medical imaging has widened the gap between medical images and available radiologists, leading to delays and diagnosis errors ...
Alaa Hussien +5 more
doaj +1 more source
PolarBearVidID: A Video-Based Re-Identification Benchmark Dataset for Polar Bears
Animals, 2023 Automated monitoring systems have become increasingly important for zoological institutions in the study of their animals’ behavior. One crucial processing step for such a system is the re-identification of individuals when using multiple cameras.
Matthias Zuerl +8 more
doaj +1 more source
Digital twins to accelerate target identification and drug development for immune‐mediated disorders
FEBS Open Bio, EarlyView.Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley +1 more source
Frontiers in Big DataInterpreting fundus images is an essential skill for detecting eye diseases, such as diabetic retinopathy (DR), one of the leading causes of visual impairment. However, the training of junior doctors relies on experienced ophthalmologists, who often lack
Sara-Jane Bittner +4 more
doaj +1 more source