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KoopaML: A Graphical Platform for Building Machine Learning Pipelines Adapted to Health Professionals
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-01)
Machine Learning (ML) has extended its use in several domains to support complex analyses of data. The medical field, in which significant quantities of data are continuously generated, is one of the domains that can benefit ...
A Feature Selection Approach Based on Archimedes’ Optimization Algorithm for Optimal Data Classification
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-01)
Feature selection is an active research area in data mining and machine learning, especially with the increase in the amount of numerical data. FS is a search strategy to find the best subset of features among a large ...
An Efficient Fake News Detection System Using Contextualized Embeddings and Recurrent Neural Network
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-02)
Fake news is detrimental for society and individuals. Since the information dissipation through online media is too quick, an efficient system is needed to detect and counter the propagation of fake news on social media. ...
Brain Tumor Classification Using a Pre-Trained Auxiliary Classifying Style-Based Generative Adversarial Network
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-02)
Computer Vision's applications and their use cases in the medical field have grown vastly in the past decade. The algorithms involved in these critical applications have helped doctors and surgeons perform procedures on ...
Use of Data Mining for Intelligent Evaluation of Imputation Methods
(International Journal of Interactive Multimedia and Artificial Intelligence, 2023-03)
In real-world situations, researchers frequently face the difficulty of missing values (MV), i.e., values not observed in a data set. Data imputation techniques allow the estimation of MV using different algorithms, by ...
Reliability of IBM’s Public Quantum Computers
(International Journal of Interactive Multimedia and Artificial Intelligence, 2023-04)
One of the challenges of the current ecosystem of quantum computers (QC) is the stabilization of the coherence associated with the entanglement of the states of their inner qubits. In this empirical study, we monitor the ...
Analysis of Gender Differences in Facial Expression Recognition Based on Deep Learning Using Explainable Artificial Intelligence
(International Journal of Interactive Multimedia and Artificial Intelligence, 2023-04)
Potential uses of automated Facial Expression Recognition (FER) cover a wide range of applications such as customer behavior analysis, healthcare applications or providing personalized services. Data for machine learning ...
Comprehensive Evaluation of Matrix Factorization Models for Collaborative Filtering Recommender Systems
(International Journal of Interactive Multimedia and Artificial Intelligence, 2023-04)
Matrix factorization models are the core of current commercial collaborative filtering Recommender Systems. This paper tested six representative matrix factorization models, using four collaborative filtering datasets. ...
Aligning Figurative Paintings With Their Sources for Semantic Interpretation
(International Journal of Interactive Multimedia and Artificial Intelligence, 2023-04)
This paper reports steps in probing the artistic methods of figurative painters through computational algorithms. We explore a comparative method that investigates the relation between the source of a painting, typically ...
Efficient Gated Convolutional Recurrent Neural Networks for Real-Time Speech Enhancement
(International Journal of Interactive Multimedia and Artificial Intelligence, 2023-05)
Deep learning (DL) networks have grown into powerful alternatives for speech enhancement and have achieved excellent results by improving speech quality, intelligibility, and background noise suppression. Due to high ...