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ListarUNIR REVISTAS por tema "machine learning"

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    • A Clustering Algorithm Based on an Ensemble of Dissimilarities: An Application in the Bioinformatics Domain 

      Martín Merino, Manuel; López Rivero, Alfonso José; Alonso, Vidal; Vallejo, Marcelo; Ferreras, Antonio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      Clustering algorithms such as k-means depend heavily on choosing an appropriate distance metric that reflect accurately the object proximities. A wide range of dissimilarities may be defined that often lead to different ...

    • A Comparative Analysis of Machine Learning Models for Banking News Extraction by Multiclass Classification With Imbalanced Datasets of Financial News: Challenges and Solutions 

      Dogra, Varun; Verma, Sahil; Verma, Kavita; Jhanjhi, NZ; Ghosh, Uttam; Le, Dac-Nhuong (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)
      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. ...

    • A Cybernetic Perspective on Generative AI in Education: From Transmission to Coordination 

      Griffiths, Dai; Frías-Martínez, Enrique; Tlili, Ahmed; Burgos, Daniel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2024)
      The recent sudden increase in the capabilities of Large Language Models (LLMs), and generative AI in general, has astonished education professionals and learners. In formulating a response to these developments, educational ...

    • A Diversity-Accuracy Measure for Homogenous Ensemble Selection 

      Zouggar, Taleb; Adla, A (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      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 ...

    • A Generalized Wine Quality Prediction Framework by Evolutionary Algorithms 

      Hui-Ye Chiu, Terry; Wu, Chienwen; Chen, Chun-Hao (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Wine is an exciting and complex product with distinctive qualities that makes it different from other manufactured products. Therefore, the testing approach to determine the quality of wine is complex and diverse. Several ...

    • A Hybrid Approach for Android Malware Detection and Family Classification 

      Dhalaria, Meghna; Gandotra, Ekta (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      With the increase in the popularity of mobile devices, malicious applications targeting Android platform have greatly increased. Malware is coded so prudently that it has become very complicated to identify. The increase ...

    • A Low Cost and Computationally Efficient Approach for Occlusion Handling in Video Surveillance Systems 

      Joshi, Rakesh Chandra; Singh, Adithya Gaurav; Joshi, Mayank; Mathur, Sanjay (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2019)
      In the development of intelligent video surveillance systems for tracking a vehicle, occlusions are one of the major challenges. It becomes difficult to retain features during occlusion especially in case of complete ...

    • A Novel Fog Computing Approach for Minimization of Latency in Healthcare using Machine Learning 

      Kishor, Amit; Chakraborty, Chinmay; Jeberson, Wilson (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      In the recent scenario, the most challenging requirements are to handle the massive generation of multimedia data from the Internet of Things (IoT) devices which becomes very difficult to handle only through the cloud. Fog ...

    • A Novel Technique to Detect and Track Multiple Objects in Dynamic Video Surveillance Systems 

      Adimoolam, M.; Mohan, Senthilkumar; A., John; Srivastava, Gautam (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Video surveillance is one of the important state of the art systems to be utilized in order to monitor different areas of modern society surveillance like the general public surveillance system, city traffic monitoring ...

    • A Review of Artificial Intelligence in the Internet of Things 

      González García, Cristian; Núñez-Valdez, Edward; García-Díaz, Vicente; Pelayo García-Bustelo, B. Cristina; Cueva-Lovelle, Juan Manuel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      Humankind has the ability of learning new things automatically due to the capacities with which we were born. We simply need to have experiences, read, study… live. For these processes, we are capable of acquiring new ...

    • A System for Personality and Happiness Detection 

      Saez, Yago; Navarro, Carlos; Mochon, Asuncion; Isasi, Pedro (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2014)
      This work proposes a platform for estimating personality and happiness. Starting from Eysenck's theory about human's personality, authors seek to provide a platform for collecting text messages from social media (Whatsapp), ...

    • Alzheimer Disease Detection Techniques and Methods: A Review 

      Afzal, Sitara; Maqsood, Muazzam; Khan, Umair; Mehmood, Irfan; Nawaz, Hina; Aadil, Farhan; Song, Oh-Young; Yunyoung, Nam (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      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 ...

    • An Empirical Evaluation of Machine Learning Techniques for Crop Prediction 

      Mariammal, G.; Suruliandi, A.; Raja, S. P.; Poongothai, E. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2023)
      Agriculture is the primary source driving the economic growth of every country worldwide. Crop prediction, which is critical to agriculture, depends on the soil and environment. Nutrient levels differ from area to area and ...

    • An Extensive Analysis of Machine Learning Based Boosting Algorithms for Software Maintainability Prediction 

      Gupta, Shikha; Chug, Anuradha (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Software Maintainability is an indispensable factor to acclaim for the quality of particular software. It describes the ease to perform several maintenance activities to make a software adaptable to the modified environment. ...

    • Attesting Digital Discrimination Using Norms 

      Criado, Natalia; Ferrer, Xavier; Such, José M. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2021)
      More and more decisions are delegated to Machine Learning (ML) and automatic decision systems recently. Despite initial misconceptions considering these systems unbiased and fair, recent cases such as racist algorithms ...

    • Automated Detection of COVID-19 using Chest X-Ray Images and CT Scans through Multilayer- Spatial Convolutional Neural Networks 

      Khattak, Muhammad Irfan; Al-Hasan, Mu’ath; Jan, Atif; Saleem, Nasir; Verdú, Elena; Khurshid, Numan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The novel coronavirus-2019 (Covid-19), a contagious disease became a pandemic and has caused overwhelming effects on the human lives and world economy. The detection of the contagious disease is vital to avert further ...

    • Automatic Surveillance of People and Objects on Railway Tracks 

      Martínez Núñez, Domingo; López Hernández, Fernando Carlos; Rainer Granados, J. Javier (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 08/2024)
      This paper describes the development and evaluation of a surveillance system for the detection of people and objects on railroad tracks in real time. Firstly, the paper evaluates several background subtraction techniques ...

    • AWS PredSpot: Machine Learning for Predicting the Price of Spot Instances in AWS Cloud 

      Baldominos Gómez, Alejandro; Saez, Yago; Quintana, David; Isasi, Pedro (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)
      Elastic Cloud Compute (EC2) is one of the most well-known services provided by Amazon for provisioning cloud computing resources, also known as instances. Besides the classical on-demand scheme, where users purchase compute ...

    • Big Data and Health Economics: Opportunities, Challenges and Risks 

      Bodas-Sagi, Diego; Labeaga, José (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2018)
      Big Data offers opportunities in many fields. Healthcare is not an exception. In this paper we summarize the possibilities of Big Data and Big Data technologies to offer useful information to policy makers. In a world with ...

    • Binary Multi-Verse Optimization (BMVO) Approaches for Feature Selection 

      Hans, Rahul; Kaur, Harjot (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Multi-Verse Optimization (MVO) is one of the newest meta-heuristic optimization algorithms which imitates the theory of Multi-Verse in Physics and resembles the interaction among the various universes. In problem domains ...