Listar 2019 por título 

Listar 2019 por título

Mostrando ítems 1-20 de 59

    • 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 Fuzzy Linguistic RFM Model Applied to Campaign Management 

      Herrera-Viedma, Enrique; Carrasco, Ramón Alberto; Blasco, María Francisca; García-Madariaga, Jesús (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      In the literature there are some proposals for integrated schemes for campaign management based on segmentation from the results of the RFM model. RFM is a technique used to analyze customer behavior by means of three ...

    • 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 Approach on Visual Question Answering by Parameter Prediction using Faster Region Based Convolutional Neural Network 

      Jha, Sudan; Dey, Anirban; Kumar, Raghvendra; Kumar-Solanki, Vijender (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      Visual Question Answering (VQA) is a stimulating process in the field of Natural Language Processing (NLP) and Computer Vision (CV). In this process machine can find an answer to a natural language question which is related ...

    • A Recent Trend in Individual Counting Approach Using Deep Network 

      Ghazvini, Anahita; Abdullah, Siti Norul Huda Sheikh; Ayob, Masri (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      In video surveillance scheme, counting individuals is regarded as a crucial task. Of all the individual counting techniques in existence, the regression technique can offer enhanced performance under overcrowded area. ...

    • 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 Temporal Distributed Group Decision Support System Based on Multi-Criteria Analysis 

      Djamila, Hamdadou; Khiat, Sofiane (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2019)
      Decision support consists of proposing tasks and projects by taking into account temporal constraints and the use of resources with the aim of finding a compromise solution between several alternatives. Indeed, on the one ...

    • A User-centered Smartphone Application for Wireless EEG and its Role in Epilepsy 

      Ahufinger, Sofía; Balugo, Paloma; González, María Mercedes; Pequeño, Elías; González, Henar; Herrero, Pilar (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2019)
      Electroencephalography is well-known for its importance in the diagnosis and treatment of mental and neurological disorders and abnormalities, being especially noted in critically ill patients who suffer a variety of ...

    • An Improved Artificial Intelligence Based on Gray Wolf Optimization and Cultural Algorithm to Predict Demand for Dairy Products: A Case Study 

      Goli, Alireza; Zare, Hassan Khademi; Tavakkoli-Moghaddam, Reza; Sadeghieh, Ahmad (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2019)
      This paper provides an integrated framework based on statistical tests, time series neural network and improved multi-layer perceptron neural network (MLP) with novel meta-heuristic algorithms in order to obtain best ...

    • Are Instructed Emotional States Suitable for Classification? Demonstration of How They Can Significantly Influence the Classification Result in An Automated Recognition System 

      Magdin, Martin; Prikler, F (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      At the present time, various freely available or commercial solutions are used to classify the subject's emotional state. Classification of the emotional state helps us to understand how the subject feels and what he is ...

    • Automatic Irony Detection using Feature Fusion and Ensemble Classifier 

      Harish, B S; Kumar, Keerthi (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2019)
      With the advent of micro-blogging sites, users are pioneer in expressing their sentiments and emotions on global issues through text. Automatic detection and classification of sentiments like sarcastic or ironic content ...

    • Biomedical Term Extraction: NLP Techniques in Computational Medicine 

      Redondo, Teófilo; Díaz, Julia; Moreno Sandoval, Antonio; Campillos Llanos, Leonardo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      Artificial Intelligence (AI) and its branch Natural Language Processing (NLP) in particular are main contributors to recent advances in classifying documentation and extracting information from assorted fields, Medicine ...

    • Contour Enhancement Algorithm for Improving Visual Perception of Deutan and Protan Dichromats 

      Ribeiro, Madalena; Gomes, Abel (06/2019)
      A variety of recoloring methods has been proposed in the literature to remedy the problem of confusing red-green colors faced by dichromat people (as well by other color-blinded people). The common strategy to mitigate ...

    • Contribution to the Association Rules Visualization for Decision Support: A Combined Use Between Boolean Modeling and the Colored 2D Matrix 

      Atmani, Baghdad; Benhacine, Fatima Zohra; Abdelouhab, Fawzia Zohra (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      In the present paper we aim to study the visual decision support based on Cellular machine CASI (Cellular Automata for Symbolic Induction). The purpose is to improve the visualization of large sets of association rules, ...

    • Data and Artificial Intelligence Strategy: A Conceptual Enterprise Big Data Cloud Architecture to Enable Market-Oriented Organisations 

      Herrera-Viedma, Enrique; Carrasco, Ramón Alberto; Moreno, Caio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2019)
      Market-Oriented companies are committed to understanding both the needs of their customers, and the capabilities and plans of their competitors through the processes of acquiring and evaluating market information in a ...

    • Data-Aware Scheduling Strategy for Scientific Workflow Applications in IaaS Cloud Computing 

      Makhlouf, Sid Ahmed; Yagoubi, Belabbas (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      Scientific workflows benefit from the cloud computing paradigm, which offers access to virtual resources provisioned on pay-as-you-go and on-demand basis. Minimizing resources costs to meet user’s budget is very important ...

    • Day-Ahead Price Forecasting for the Spanish Electricity Market 

      Díaz, Julia; Romero, Álvaro; Dorronsoro, José Ramón (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      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 ...

    • Deep Belief Network and Auto-Encoder for Face Classification 

      Bouchra, Nassih; Mohammed, Ngadi; Nabil, Hmina; Aouatif, Amine (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      The Deep Learning models have drawn ever-increasing research interest owing to their intrinsic capability of overcoming the drawback of traditional algorithm. Hence, we have adopted the representative Deep Learning methods ...

    • Design and Validation of a Framework for the Creation of User Experience Questionnaires 

      Schrepp, Martin; Thomaschewski, Jörg (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2019)
      Existing user experience questionnaires have a fixed number of scales. Each of these scales measures a distinct aspect of user experience. These questionnaires can be used with little effort and provide a number of useful ...

    • Detecting Image Brush Editing Using the Discarded Coefficients and Intentions 

      López Hernández, Fernando Carlos; de-la-Fuente-Valentín, Luis; Sarría, Íñigo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      This paper describes a quick and simple method to detect brush editing in JPEG images. The novelty of the proposed method is based on detecting the discarded coefficients during the quantization of the image. Another novelty ...