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287 results on '"Olivas, Jose A."'

3. Enhancing Spanish Aspect-Based Sentiment Analysis Through Deep Learning Approach

Author

Montañez Castelo, Patricia, Simón-Cuevas, Alfredo, Olivas, José A., Romero, Francisco P., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Hernández Heredia, Yanio, editor, Milián Núñez, Vladimir, editor, and Ruiz Shulcloper, José, editor

Published
2024
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4. A Hybrid Approach for Spanish Emotion Recognition Applying Fuzzy Semantic Processing

Author

González Parets, Oscar M., Simón-Cuevas, Alfredo, Olivas, José A., Perea-Ortega, José M., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Hernández Heredia, Yanio, editor, Milián Núñez, Vladimir, editor, and Ruiz Shulcloper, José, editor

Published
2024
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8. A Fuzzy Approach to Detecting Suspected Disinformation in Videos

Author

Guerrero-Sosa, Jared D. T., Romero, Francisco P., Montoro-Montarroso, Andres, Menendez, Victor H., Serrano-Guerrero, Jesus, Olivas, Jose A., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Larsen, Henrik Legind, editor, Martin-Bautista, Maria J., editor, Ruiz, M. Dolores, editor, Andreasen, Troels, editor, Bordogna, Gloria, editor, and De Tré, Guy, editor

Published
2023
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12. Changes in sleep-disordered breathing from the acute to the stable phase of pulmonary embolism: The ESAET study

Author

García-Ortega, Alberto, Oscullo, Grace, Mañas-Baena, Eva, Cano-Pumarega, Irene, Gómez-Olivas, José Daniel, Bekki, Amina, Beauperthuy, Thais, Barbero, Esther, García-Sánchez, Aldara, Inglés, Marina, Mompeán, Sergio, Calvillo, Pilar, Jiménez-Aguilella, Juan José, Navarrete, Javier, Cerveró, Alba, Jiménez, David, and Martínez-García, Miguel Ángel

Published
2023
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13. Role of Sleep Apnea and Long-Term CPAP Treatment in the Prognosis of Patients With Melanoma: A Prospective Multicenter Study of 443 Patients

Author

Gómez-Olivas, Jose Daniel, Campos-Rodriguez, Francisco, Nagore, Eduardo, Martorell, Antonio, García-Rio, Francisco, Cubillos, Carolina, Hernandez, Luis, Bañuls, Jose, Arias, Eva, Ortiz, Pablo, Cabriada, Valentin, Gardeazabal, Juan, Montserrat, Josep Maria, Carrera, Cristina, Masa, Juan Fernando, Gomez de Terreros, Javier, Abad, Jorge, Boada, Adam, Mediano, Olga, Castillo-Garcia, Marta, Chiner, Eusebi, Landete, Pedro, Mayos, Mercedes, Fortuna, Ana, Barbé, Ferrán, Sanchez-de-la-Torre, Manuel, Cano-Pumarega, Irene, Perez-Gil, Amalia, Gomez-Garcia, Teresa, Cullen, Daniela, Somoza, Maria, Formigon, Manuel, Aizpuru, Felipe, Oscullo, Grace, Garcia-Ortega, Alberto, Almendros, Isaac, Farré, Ramón, Gozal, David, and Martinez-Garcia, Miguel Angel

Published
2023
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16. User-Oriented Summaries Using a PSO Based Scoring Optimization Method

Author

Villa-Monte, Augusto, Lanzarini, Laura, Bariviera, Aurelio F., and Olivas, José A.

Subjects
Computer Science - Machine Learning, Computer Science - Information Retrieval, Computer Science - Neural and Evolutionary Computing, Statistics - Machine Learning
Abstract

Automatic text summarization tools have a great impact on many fields, such as medicine, law, and scientific research in general. As information overload increases, automatic summaries allow handling the growing volume of documents, usually by assigning weights to the extracted phrases based on their significance in the expected summary. Obtaining the main contents of any given document in less time than it would take to do that manually is still an issue of interest. In~this~ article, a new method is presented that allows automatically generating extractive summaries from documents by adequately weighting sentence scoring features using \textit{Particle Swarm Optimization}. The key feature of the proposed method is the identification of those features that are closest to the criterion used by the individual when summarizing. The proposed method combines a binary representation and a continuous one, using an original variation of the technique developed by the authors of this paper. Our paper shows that using user labeled information in the training set helps to find better metrics and weights. The empirical results yield an improved accuracy compared to previous methods used in this field

Published
2019
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29. Time-Oriented System to Control Critical Medications

Author

Puente, Cristina, Sobrino, Alejandro, Villa-Monte, Augusto, Olivas, Jose Angel, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Martínez Álvarez, Francisco, editor, Troncoso Lora, Alicia, editor, Sáez Muñoz, José António, editor, Quintián, Héctor, editor, and Corchado, Emilio, editor

Published
2020
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30. A Fuzzy Approach for Sentences Relevance Assessment in Multi-document Summarization

Author

Valladares-Valdés, Eduardo, Simón-Cuevas, Alfredo, Olivas, José A., Romero, Francisco P., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Martínez Álvarez, Francisco, editor, Troncoso Lora, Alicia, editor, Sáez Muñoz, José António, editor, Quintián, Héctor, editor, and Corchado, Emilio, editor

Published
2020
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34. Data Analytics for the Cryptocurrencies Behavior

Author

Sánchez, Eduardo, Olivas, Jose A., Romero, Francisco P., Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Naiouf, Marcelo, editor, Chichizola, Franco, editor, and Rucci, Enzo, editor

Published
2019
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35. Applying OWA Operator in the Semantic Processing for Automatic Keyphrase Extraction

Author

Barreiro-Guerrero, Manuel, Simón-Cuevas, Alfredo, Pérez-Guadarrama, Yamel, Romero, Francisco P., Olivas, José A., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nyström, Ingela, editor, Hernández Heredia, Yanio, editor, and Milián Núñez, Vladimir, editor

Published
2019
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43. A Concept-Based Text Analysis Approach Using Knowledge Graph

Author

Hojas-Mazo, Wenny, Simón-Cuevas, Alfredo, de la Iglesia Campos, Manuel, Romero, Francisco P., Olivas, José A., Barbosa, Simone Diniz Junqueira, Series Editor, Chen, Phoebe, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Medina, Jesús, editor, Ojeda-Aciego, Manuel, editor, Verdegay, José Luis, editor, Pelta, David A., editor, Cabrera, Inma P., editor, Bouchon-Meunier, Bernadette, editor, and Yager, Ronald R., editor

Published
2018
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44. Linguistic Description of the Evolution of Stress Level Using Fuzzy Deformable Prototypes

Author

Romero, Francisco P., Olivas, José A., Serrano-Guerrero, Jesus, Barbosa, Simone Diniz Junqueira, Series Editor, Chen, Phoebe, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Medina, Jesús, editor, Ojeda-Aciego, Manuel, editor, Verdegay, José Luis, editor, Pelta, David A., editor, Cabrera, Inma P., editor, Bouchon-Meunier, Bernadette, editor, and Yager, Ronald R., editor

Published
2018
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45. Estimation of Skill Level in Intelligent Tutoring Systems Using a Multi-attribute Methodology

Author

Sosa-León, Sonia, Waissman, Julio, Olivas, José A., Prieto, Manuel E., Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Ghosh, Ashish, Series Editor, Mata-Rivera, Miguel Felix, editor, and Zagal-Flores, Roberto, editor

Published
2018
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46. Mining Temporal Causal Relations in Medical Texts

Author

Sobrino, Alejandro, Puente, Cristina, Olivas, José Ángel, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Pérez García, Hilde, editor, Alfonso-Cendón, Javier, editor, Sánchez González, Lidia, editor, Quintián, Héctor, editor, and Corchado, Emilio, editor

Published
2018
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47. Personality Trait Detection via Transfer Learning.

Author

Alshouha, Bashar, Serrano-Guerrero, Jesus, Chiclana, Francisco, Romero, Francisco P., and Olivas, Jose A.

Subjects
DEEP learning, PERSONALITY, FIVE-factor model of personality, DECISION support systems, LANGUAGE models, RECOMMENDER systems
Abstract

Personality recognition plays a pivotal role when developing user-centric solutions such as recommender systems or decision support systems across various domains, including education, e-commerce, or human resources. Traditional machine learning techniques have been broadly employed for personality trait identification; nevertheless, the development of new technologies based on deep learning has led to new opportunities to improve their performance. This study focuses on the capabilities of pre-trained language models such as BERT, RoBERTa, ALBERT, ELECTRA, ERNIE, or XLNet, to deal with the task of personality recognition. These models are able to capture structural features from textual content and comprehend a multitude of language facets and complex features such as hierarchical relationships or long-term dependencies. This makes them suitable to classify multilabel personality traits from reviews while mitigating computational costs. The focus of this approach centers on developing an architecture based on different layers able to capture the semantic context and structural features from texts. Moreover, it is able to fine-tune the previous models using theMyPersonality dataset, which comprises 9,917 status updates contributed by 250 Facebook users. These status updates are categorized according to the well-known Big Five personality model, setting the stage for a comprehensive exploration of personality traits. To test the proposal, a set of experiments have been performed using different metrics such as the exact match ratio, hamming loss, zero-one-loss, precision, recall, F1-score, andweighted averages. The results reveal ERNIE is the topperforming model, achieving an exact match ratio of 72.32%, an accuracy rate of 87.17%, and 84.41% of F1-score. The findings demonstrate that the testedmodels substantially outperform other state-of-the-art studies, enhancing the accuracy by at least 3% and confirming them as powerful tools for personality recognition. These findings represent substantial advancements in personality recognition, making them appropriate for the development of user-centric applications. [ABSTRACT FROM AUTHOR]

Published
2024
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48. What is the Consumer Attitude toward Healthcare Services? A Transfer Learning Approach for Detecting Emotions from Consumer Feedback.

Author

Alshouha, Bashar, Serrano-Guerrero, Jesus, Elizondo, David, Romero, Francisco P., and Olivas, Jose A.

Abstract

The capability of offering patient-centered healthcare services involves knowing the consumer needs. Many of these needs can be conveyed through opinions about services that can be found on social networks. The consumers/patients can express their complains, satisfaction, frustration, etc. in terms of feelings and emotions toward those services; for that reason, it is pivotal to accurately detect them. There are many recent techniques to detect sentiments or emotions, but one of the most promising is transfer learning. This allows adapting a model originally trained for a task to a different one by fine-tuning. Following this idea, the primary objective of this research is to study whether several pre-trained language models can be adapted to a task such as patient emotion detection in an efficient manner. For this purpose, seven clinical and biomedical pre-trained models and four domain-general models have been adapted to detect multiple emotions. These models have been tuned using a dataset consisting of real patient opinions which convey several emotions per opinion. The experiments carried out state the domain-specific pre-trained models outperform the domain-general ones. Particularly, Clinical-Longformer obtained the best scores, 98.18% and 95.82% in terms of accuracy and F1-score, respectively. Analyzing the patient feedback available on social networks may provide valuable knowledge about consumer sentiments and emotions, especially for healthcare managers. This information can be very interesting for purposes such as assessing the quality of healthcare services or designing patient-centered services. [ABSTRACT FROM AUTHOR]

Published
2024
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49. Changes in the sleep-disordered breathing from the acute to the stable phase of pulmonary embolism. The ESAET study

Author

Oscullo Yepez, Grace Jacqueline, primary, García Ortega, Alberto, additional, Mañas Baena, Eva, additional, Beauperthuy Levy, Thais, additional, Gomez Olivas, Jose, additional, García Sanchez, Aldara, additional, Cano Pumarega, Irene, additional, Bekki, Amina, additional, Inglés Azorín, Marina, additional, Jiménez Aguilella, Juan José, additional, Cerveró Rubio, Alba, additional, Calvillo Batllés, Pilar, additional, Mompean Rodríguez, Sergio, additional, Martínez Perez, Rosalía, additional, Jiménez Castro, David, additional, and Martínez García, Miguel Ángel, additional

Published
2023
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