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A Diversity-Accuracy Measure for Homogenous Ensemble Selection
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-06)
Several selection methods in the literature are essentially based on an evaluation function that determines whether a model M contributes positively to boost the performances of the whole ensemble. In this paper, we propose ...
Day-Ahead Price Forecasting for the Spanish Electricity Market
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-03)
During the last years, electrical systems around the world and in particular the Spanish electric sector have undergone great changes with the focus of turning them into more liberalized and competitive markets. For this ...
Machine Learning in Business Intelligence 4.0: Cost Control in a Destination Hotel
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-03)
Cost control is a recurring problem in companies where studies have provided different solutions. The main objective of this research is to propose and validate an alternative to cost control using data science to support ...
Comparative Analysis of Building Insurance Prediction Using Some Machine Learning Algorithms
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-03)
In finance and management, insurance is a product that tends to reduce or eliminate in totality or partially the loss caused due to different risks. Various factors affect house insurance claims, some of which contribute ...
Finding an Accurate Early Forecasting Model from Small Dataset: A Case of 2019-nCoV Novel Coronavirus Outbreak
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-03)
Epidemic is a rapid and wide spread of infectious disease threatening many lives and economy damages. It is important to fore-tell the epidemic lifetime so to decide on timely and remedic actions. These measures include ...
Intelligent Detection and Recovery from Cyberattacks for Small and Medium-Sized Enterprises
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-09)
Cyberattacks threaten continuously computer security in companies. These attacks evolve everyday, being more and more sophisticated and robust. In addition, they take advantage of security breaches in organizations and ...
Revisiting “Recognizing Human Activities User- Independently on Smartphones Based on Accelerometer Data” – What Has Happened Since 2012?
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2018-12)
Our article “Recognizing human activities user-independently on smartphones based on accelerometer data” was published in the International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI) in 2012. ...
Alzheimer Disease Detection Techniques and Methods: A Review
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-09)
Brain pathological changes linked with Alzheimer's disease (AD) can be measured with Neuroimaging. In the past few years, these measures are rapidly integrated into the signatures of Alzheimer disease (AD) with the help ...
A Comparative Analysis of Machine Learning Models for Banking News Extraction by Multiclass Classification With Imbalanced Datasets of Financial News: Challenges and Solutions
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-03)
Online portals provide an enormous amount of news articles every day. Over the years, numerous studies have concluded that news events have a significant impact on forecasting and interpreting the movement of stock prices. ...
Learning Models for Semantic Classification of Insufficient Plantar Pressure Images
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-03)
Establishing a reliable and stable model to predict a target by using insufficient labeled samples is feasible and effective, particularly, for a sensor-generated data-set. This paper has been inspired with insufficient ...