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Temporal Dynamics of the Brain Using Variational Bayes Hidden Markov Models: Application in Autism
Investigating the functional connectivity (FC) patterns of the brain using resting-state functional magnetic resonance imaging (rs-fMRI) has been...
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Session-Based Recommender Systems
Session-based recommendation is concerned with the problem of tailoring item suggestions according to the short-term needs and assumed intents of the...
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AIXI, FEP-AI, and Integrated World Models: Towards a Unified Understanding of Intelligence and Consciousness
Intelligence has been operationalized as both goal-pursuit capacity across a broad range of environments, and also as learning capacity above and...
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Integrating kNN Retrieval with Inference on Graphical Models in Case-Based Reasoning
In Case-Based Reasoning, when the similarity assumption does not hold, knowledge about the adaptability of solutions has to be exploited, in order to...
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Early Prediction of Alzheimer’s Disease Progression Using Variational Autoencoders
Prediction of Alzheimer’s disease before the onset of symptoms is an important clinical challenge, as it offers the potential for earlier...
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Deep learning-based collaborative filtering recommender systems: a comprehensive and systematic review
Nowadays, the volume of online information is growing and it is difficult to find the required information. Effective strategies such as recommender...
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A novel image denoising approach based on a non-convex constrained PDE: application to ultrasound images
In this paper, we are interested in the mathematical and simulation study of a new non-convex constrained PDE to remove the mixture of...
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A Region-Based Randers Geodesic Approach for Image Segmentation
The geodesic model based on the eikonal partial differential equation (PDE) has served as a fundamental tool for the applications of image...
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A Review on Mode Collapse Reducing GANs with GAN’s Algorithm and Theory
Generative adversarial networks (GANs) are the most popular network and widely studied since 2014. It comprises of two neural networks –...
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Error analysis of HDG approximations for elliptic variational inequality: obstacle problem
In this article, we study the HDG approximation for the obstacle problem, i.e., variational inequalities, with remarkable convergence properties....
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Combined VMD-GSO Based Points of Interest Selection Method for Profiled Side Channel Attacks
Nowadays, one of the most powerful side channel attacks (SCA) is profiled attack. Machine learning algorithms, for example support vector machine,...
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Evolutionary Machine Learning in Science and Engineering
Evolutionary machine learning (EML) has been increasingly applied to solving diverse science and engineering problems due to the global search,...
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Monitoring Time Series with Missing Values: A Deep Probabilistic Approach
Systems are commonly monitored for health and security through collection and streaming of multivariate time series. Advances in time series...
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A Review on Preprocessing and Segmentation Techniques in Carotid Artery Ultrasound Images
Epidemiological studies reveal that anatomical changes of carotid artery due to deposition of fatty lesions are effective signs of cardiovascular...
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K-Medoids-Surv: A Patients Risk Stratification Algorithm Considering Censored Data
Traditional survival analysis estimates the instantaneous failure rate of an event and predicts survival probabilities distributions. In fact, in a...
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Machine Learning for Time-to-Event Prediction and Survival Clustering: A Review from Statistics to Deep Neural Networks
Survival analysis is a statistical method used in computational biology to investigate the time until the occurrence of an event of interest, such as...
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A Developer Recommendation Method Based on Disentangled Graph Convolutional Network
Crowdsourcing Software Development (CSD) solves software development tasks by integrating resources from global developers. With more and more...
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Physical laws meet machine intelligence: current developments and future directions
The advent of technology including big data has allowed machine learning technology to strengthen its place in solving different science and...
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Tuberculosis bacteria analysis in acid fast stained images of sputum smear
Tuberculosis (TB) basically originates due to bacteria, influences the develo** nations and disrupts their economy severely. TB like diseases are...
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Nonlinear modelling and dynamics of spatial multi-link rigid-flexible manipulator with moving platform
The demand for develo** lighter manipulators, particularly in various long-reach applications, has surged significantly. In many of these...
