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Sentiment Analysis and Classification of Hotel Opinions in Twitter With the Transformer Architecture
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-03)
Sentiment analysis is of great importance to parties who are interested is analyzing the public opinion in social networks. In recent years, deep learning, and particularly, the attention-based architecture, has taken over ...
Drug Target Interaction Prediction Using Machine Learning Techniques – A Review
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-11)
Drug discovery is a key process, given the rising and ubiquitous demand for medication to stay in good shape right through the course of one’s life. Drugs are small molecules that inhibit or activate the function of a ...
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, ...
Data Science Techniques for COVID-19 in Intensive Care Units
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-12)
Data scientists aim to provide techniques and tools to the clinicians to manage the new coronavirus disease. Nowadays, new emerging tools based on Artificial Intelligence (AI), Image Processing (IP) and Machine Learning ...
HDDSS: An Enhanced Heart Disease Decision Support System using RFE-ABGNB Algorithm
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-06)
Heart disease is the leading cause of mortality globally. Heart disease refers to a range of disorders that affect the heart and blood vessels. The risks of developing heart disease become minimized if heart disease is ...
RIADA: A Machine-Learning Based Infrastructure for Recognising the Emotions of Spotify Songs
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-06)
The music emotions can help to improve the personalization of services and contents offered by music streaming providers. Many research works based on the use of machine learning techniques have addressed the problem of ...
Machine Learning for Financial Prediction Under Regime Change Using Technical Analysis: A Systematic Review
(International Journal of Interactive Multimedia and Artificial Intelligence, 2023-06)
Recent crises, recessions and bubbles have stressed the non-stationary nature and the presence of drastic structural changes in the financial domain. The most recent literature suggests the use of conventional machine ...
Obtaining Anti-Missile Decoy Launch Solution from a Ship Using Machine Learning Techniques
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-06)
One of the most dangerous situations a warship may face is a missile attack launched from other ships, aircrafts, submarines or land. In addition, given the current scenario, it is not ruled out that a terrorist group may ...