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ORCIDJosé Ignacio Abreu
Person information
- affiliation: Catholic University of the Most Holy Conception, Department of Computer Engineering, Chile
- affiliation: University of Matanzas, Cuba
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2020 – today
- 2024
[j9]Olga Francés
, Javi Fernández, José Ignacio Abreu Salas, Yoan Gutiérrez, Manuel Palomar:
A comprehensive methodology to construct standardised datasets for Science and Technology Parks. Data Knowl. Eng. 153: 102338 (2024)- [j8]Yoan Gutiérrez, José Ignacio Abreu Salas, Andrés Montoyo, Rafael Muñoz, Suilan Estévez-Velarde:
KD SENSO-MERGER: An architecture for semantic integration of heterogeneous data. Eng. Appl. Artif. Intell. 132: 107854 (2024) - 2023
- [c18]José Ignacio Abreu Salas, Roberto Espinosa Oliva, Pedro Mirabal, Emilio Lamazares, Karel Mena-Ulacia:
Machine Learning Modeling Predicting Vascular Endothelial Growth Factor Receptor 2 (VEGFR2) Inhibitors Structure-Activity Relationships Using Quantum DFT Descriptors. CLEI 2023: 1-9 - [c17]Tania Josephine Martin, José Ignacio Abreu Salas, Paloma Moreda Pozo:
A Review of Parallel Corpora for Automatic Text Simplification. Key Challenges Moving Forward. NLDB 2023: 62-78 - [c16]Isabel Espinosa-Zaragoza, José Ignacio Abreu Salas, Elena Lloret, Paloma Moreda, Manuel Palomar:
A Review of Research-Based Automatic Text Simplification Tools. RANLP 2023: 321-330 - [c15]Santiago Galiano, Rafael Muñoz, Yoan Gutiérrez, Andrés Montoyo, José Ignacio Abreu, Luis Alfonso Ureña López:
T2KG: Transforming Multimodal Document to Knowledge Graph. RANLP 2023: 385-391 - [c14]Pedro Mirabal, Suilen Hernández Alvarado, José Ignacio Abreu Salas:
Analyzing Sentiment, Attraction Type, and Country in Spanish Language TripAdvisor Reviews Using Language Models. IberLEF@SEPLN 2023 - 2021
- [j7]Pedro Mirabal, José Ignacio Abreu, Diego Seco, Oscar Pedreira, Edgar Chávez:
Boosting Perturbation-Based Iterative Algorithms to Compute the Median String. IEEE Access 9: 169299-169308 (2021) - [j6]Marvin M. Agüero-Torales, José Ignacio Abreu Salas, Antonio Gabriel López-Herrera:
Deep learning and multilingual sentiment analysis on social media data: An overview. Appl. Soft Comput. 107: 107373 (2021) - [c13]Pedro Mirabal, Ignacio Lincolao-Venegas, Mario Castillo-Sanhueza, José Ignacio Abreu:
Parallel Implementation of Median String Algorithms. SCCC 2021: 1-6 - [c12]José Ignacio Abreu, Pedro Mirabal, Adrián Ballester-Espinosa:
Cascade of Biased Two-class Classifiers for Multi-class Sentiment Analysis. IberLEF@SEPLN 2021: 185-191 - 2020
- [c11]José Ignacio Abreu, Pedro Mirabal:
Multi-edition approach for Median String Problem. SCCC 2020: 1-6 - [c10]Pedro Mirabal, José Ignacio Abreu, Diego Seco, Oscar Pedreira, Edgar Chávez:
New initialization for algorithms to solve Median String Problem. SCCC 2020: 1-7 - [i2]Pedro Mirabal, José Ignacio Abreu, Oscar Pedreira:
Pivot Selection for Median String Problem. CoRR abs/2003.02169 (2020)
2010 – 2019
- 2019
- [j5]Pedro Mirabal, José Ignacio Abreu, Diego Seco:
Assessing the best edit in perturbation-based iterative refinement algorithms to compute the median string. Pattern Recognit. Lett. 120: 104-111 (2019) - [c9]Pedro Mirabal, José Ignacio Abreu, Oscar Pedreira:
Pivot Selection for Median String Problem. SCCC 2019: 1-5 - [i1]Pedro Mirabal, José Ignacio Abreu, Diego Seco:
Assessing the best edit in perturbation-based iterative refinement algorithms to compute the median string. CoRR abs/1912.02217 (2019) - 2017
- [c8]José Ignacio Abreu, Iván Castro, Claudia Martínez, Sebastián Oliva, Yoan Gutiérrez:
UCSC-NLP at SemEval-2017 Task 4: Sense n-grams for Sentiment Analysis in Twitter. SemEval@ACL 2017: 807-811 - 2014
- [j4]José Ignacio Abreu, Juan Ramón Rico-Juan:
A new iterative algorithm for computing a quality approximate median of strings based on edit operations. Pattern Recognit. Lett. 36: 74-80 (2014) - 2013
- [j3]José Ignacio Abreu, Juan Ramón Rico-Juan:
An improved fast edit approach for two-string approximated mean computation applied to OCR. Pattern Recognit. Lett. 34(5): 496-504 (2013) - [c7]Héctor Dávila, Antonio Fernández Orquín, Alexander Chavez, Yoan Gutiérrez, Armando Collazo, José Ignacio Abreu, Andrés Montoyo, Rafael Muñoz:
UMCC_DLSI-(EPS): Paraphrases Detection Based on Semantic Distance. SemEval@NAACL-HLT 2013: 93-97 - [c6]Yoan Gutiérrez, Yenier Castañeda, Andy González, Rainel Estrada, Dennys D. Puig, José Ignacio Abreu, Roger Pérez, Antonio Fernández Orquín, Andrés Montoyo, Rafael Muñoz, Franc Camara:
UMCC_DLSI: Reinforcing a Ranking Algorithm with Sense Frequencies and Multidimensional Semantic Resources to solve Multilingual Word Sense Disambiguation. SemEval@NAACL-HLT 2013: 241-249 - [c5]Yoan Gutiérrez, Andy González, Roger Pérez, José Ignacio Abreu, Antonio Fernández Orquín, Alejandro Mosquera López, Andrés Montoyo, Rafael Muñoz, Franc Camara:
UMCC_DLSI-(SA): Using a ranking algorithm and informal features to solve Sentiment Analysis in Twitter. SemEval@NAACL-HLT 2013: 443-449 - [c4]Armando Collazo, Alberto Ceballo, Dennys D. Puig, Yoan Gutiérrez, José Ignacio Abreu, Roger Pérez, Antonio Fernández Orquín, Andrés Montoyo, Rafael Muñoz, Franc Camara:
UMCC_DLSI: Semantic and Lexical features for detection and classification Drugs in biomedical texts. SemEval@NAACL-HLT 2013: 636-643 - [c3]Alexander Chavez, Héctor Dávila, Yoan Gutiérrez, Armando Collazo, José Ignacio Abreu, Antonio Fernández Orquín, Andrés Montoyo, Rafael Muñoz:
UMCC_DLSI: Textual Similarity based on Lexical-Semantic features. *SEM@NAACL-HLT 2013: 109-118 - 2011
- [j2]José Ignacio Abreu Salas, Juan Ramón Rico-Juan:
Characterization of contour regularities based on the Levenshtein edit distance. Pattern Recognit. Lett. 32(10): 1421-1427 (2011) - 2010
- [c2]José Ignacio Abreu Salas, Juan Ramón Rico-Juan:
A New Editing Scheme Based on a Fast Two-String Median Computation Applied to OCR. SSPR/SPR 2010: 748-756
2000 – 2009
- 2009
- [c1]José Ignacio Abreu Salas, Juan Ramón Rico-Juan:
Contour Regularity Extraction Based on String Edit Distance. IbPRIA 2009: 160-167 - 2006
- [j1]Julio Caballero, Leyden Fernández, José Ignacio Abreu, Michael Fernández:
Amino Acid Sequence Autocorrelation Vectors and Ensembles of Bayesian-Regularized Genetic Neural Networks for Prediction of Conformational Stability of Human Lysozyme Mutants. J. Chem. Inf. Model. 46(3): 1255-1268 (2006)
Coauthor Index
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