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A Spatio-Temporal Attention Graph Convolutional Networks for Sea Surface Temperature Prediction
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-03)
Sea surface temperature (SST) is an important index to detect ocean changes, predict SST anomalies, and prevent natural disasters caused by abnormal changes, dynamic variation of which have a profound impact on the whole ...
Editor’s Note
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-03)
With the rapid development of information and communication technologies, artificial intelligence and IoTs, more and more advanced technologies, such as machine learning, reinforcement learning, neural networks and fuzzy ...
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 ...
Influence of Lymphocyte T CD4 Levels on the Neuropsychological Performance of Population Affected by HIV and with a Previous History of Substance Use
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2017-09)
The immunological markers help to know if there is a good recovery of the immunological system in patients infected with HIV. Among them, the lymphocyte T CD4 rate is the main indicator of the patient’s immunological state ...
CompareML: A Novel Approach to Supporting Preliminary Data Analysis Decision Making
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-06)
There are a large number of machine learning algorithms as well as a wide range of libraries and services that allow one to create predictive models. With machine learning and artificial intelligence playing a major role ...
ERBM-SE: Extended Restricted Boltzmann Machine for Multi-Objective Single-Channel Speech Enhancement
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-06)
Machine learning-based supervised single-channel speech enhancement has achieved considerable research interest over conventional approaches. In this paper, an extended Restricted Boltzmann Machine (RBM) is proposed for ...
Towards the Grade’s Prediction. A Study of Different Machine Learning Approaches to Predict Grades from Student Interaction Data
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-06)
There is currently an open problem within the field of Artificial Intelligence applied to the educational field, which is the prediction of students’ grades. This problem aims to predict early school failure and dropout, ...
Electromiographic Signal Processing Using Embedded Artificial Intelligence: An Adaptive Filtering Approach
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-09)
In recent times, Artificial Intelligence (AI) has become ubiquitous in technological fields, mainly due to its ability to perform computations in distributed systems or the cloud. Nevertheless, for some applications -as ...
Adjectives Grouping in a Dimensionality Affective Clustering Model for Fuzzy Perceptual Evaluation
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-06)
More and more products are no longer limited to the satisfaction of the basic needs, but reflect the emotional interaction between people and environment. The characteristics of user emotions and their evaluation scales ...
Bayesian Knowledge Tracing for Navigation through Marzano’s Taxonomy
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-06)
In this paper we propose a theoretical model of an ITS (Intelligent Tutoring Systems) capable of improving and updating computer-aided navigation based on Bloom’s taxonomy. For this we use the Bayesian Knowledge Tracing ...