Maria Torrente

24 papers B 7Misc 3Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Integrating Knowledge Graphs with Symbolic AI: The Path to Interpretable Hybrid AI Systems in Medicine. J. Web Semant. Maria-Esther Vidal, Yashrajsinh Chudasama, Hao Huang, Disha Purohit, Maria Torrente
2025	J	`jnl`	Large language model vs. traditional machine learning: Evaluating predictive models for early detection of tumor relapse. Expert Syst. Appl. Mohan Timilsina, Samuele Buosi, Maria Torrente, Mariano Provencio, Manuel Cobo, Delvys Rodriguez Abreu, Rafael Castro, Enric Carcereny, Edward Curry, Vít Novácek
2024	J	`jnl`	A neuro-symbolic system over knowledge graphs for link prediction. Semantic Web Ariam Rivas, Diego Collarana, Maria Torrente, Maria-Esther Vidal
2024	J	`jnl`	Boosting predictive models and augmenting patient data with relevant genomic and pathway information. Comput. Biol. Medicine Samuele Buosi, Mohan Timilsina, Maria Torrente, Mariano Provencio, Dirk Fey, Vít Novácek
2024	J	`jnl`	Machine learning estimated probability of relapse in early-stage non-small-cell lung cancer patients with aneuploidy imputation scores and knowledge graph embeddings. Expert Syst. Appl. Samuele Buosi, Mohan Timilsina, Adrianna Janik, Luca Costabello, Maria Torrente, Mariano Provencio, Dirk Fey, Vít Novácek
2024	Misc	`conf`	Semantically Describing Predictive Models for Interpretable Insights into Lung Cancer Relapse. SEMANTICS Yashrajsinh Chudasama, Disha Purohit, Philipp D. Rohde, Enrique Iglesias, Maria Torrente, Maria-Esther Vidal
2024	—	`conf`	VISE: Validated and Invalidated Symbolic Explanations for Knowledge Graph Integrity. EXPLIMED@ECAI Disha Purohit, Yashrajsinh Chudasama, Maria Torrente, Maria-Esther Vidal
2024	J	`jnl`	iASiS: Towards Heterogeneous Big Data Analysis for Personalized Medicine. CoRR Anastasia Krithara, Fotis Aisopos, Vassiliki Rentoumi, Anastasios Nentidis, Konstantinos Bougiatiotis, Maria-Esther Vidal, Ernestina Menasalvas, Alejandro Rodríguez González, Eleftherios Samaras, Peter Garrard, Maria Torrente, Mariano Provencio Pulla, Nikos Dimakopoulos, Rui Mauricio, Jordi Rambla De Argila, Gian Gaetano Tartaglia, George Paliouras
2023	J	`jnl`	Knowledge graphs for enhancing transparency in health data ecosystems. Semantic Web Fotis Aisopos, Samaneh Jozashoori, Emetis Niazmand, Disha Purohit, Ariam Rivas, Ahmad Sakor, Enrique Iglesias, Dimitrios Vogiatzis, Ernestina Menasalvas, Alejandro Rodríguez González, Guillermo Vigueras, Daniel Gómez-Bravo, Maria Torrente, Roberto Hernández López, Mariano Provencio Pulla, Athanasios Dalianis, Anna Triantafillou, Georgios Paliouras, Maria-Esther Vidal
2023	B	`conf`	Machine Learning Survival Models for Relapse Prediction in a Early Stage Lung Cancer Patient. IJCNN Mohan Timilsina, Samuele Buosi, Adrianna Janik, Pasquale Minervini, Luca Costabello, Maria Torrente, Mariano Provencio, Virginia Calvo, Carlos Camps, Ana L. Ortega, Bartomeu Massutí, M. Rosario Garcia Campelo, Edel del Barco, Joaquim Bosch-Barrera, Vít Novácek
2023	J	`jnl`	Synergy between imputed genetic pathway and clinical information for predicting recurrence in early stage non-small cell lung cancer. J. Biomed. Informatics Mohan Timilsina, Dirk Fey, Samuele Buosi, Adrianna Janik, Luca Costabello, Enric Carcereny, Delvys Rodriguez Abreu, Manuel Cobo, Rafael Castro, Reyes Bernabé, Pasquale Minervini, Maria Torrente, Mariano Provencio, Vít Novácek
2023	J	`jnl`	Transformers for extracting breast cancer information from Spanish clinical narratives. Artif. Intell. Medicine Oswaldo Solarte Pabón, Orlando Montenegro, Alvaro Garcia-Barragán, Maria Torrente, Mariano Provencio, Ernestina Menasalvas, Víctor Robles
2022	B	`conf`	Deep learning to extract Breast Cancer diagnosis concepts. CBMS Oswaldo Solarte Pabón, Maria Torrente, Alvaro Garcia-Barragán, Mariano Provencio, Ernestina Menasalvas, Victor Robles
2022	Misc	`conf`	Integration of Clinical Information and Imputed Aneuploidy Scores to Enhance Relapse Prediction in Early Stage Lung Cancer Patients. AMIA Mohan Timilsina, Samuele Bousi, Dirk Fey, Adrianna Janik, Maria Torrente, Mariano Provencio, Alberto Bermúdez, Enric Carcereny, Luca Costabello, Delvys Rodriguez Abreu, Manuel Cobo, Rafael Castro, Reyes Bernabé, Maria Guirado, Pasquale Minervini, Vít Novácek
2022	J	`jnl`	Machine Learning-Assisted Recurrence Prediction for Early-Stage Non-Small-Cell Lung Cancer Patients. CoRR Adrianna Janik, Maria Torrente, Luca Costabello, Virginia Calvo, Brian Walsh, Carlos Camps, Sameh K. Mohamed, Ana L. Ortega, Vít Novácek, Bartomeu Massutí, Pasquale Minervini, M. Rosario Garcia Campelo, Edel del Barco, Joaquim Bosch-Barrera, Ernestina Menasalvas, Mohan Timilsina, Mariano Provencio
2022	J	`jnl`	Negation and uncertainty detection in clinical texts written in Spanish: a deep learning-based approach. PeerJ Comput. Sci. Oswaldo Solarte Pabón, Orlando Montenegro, Maria Torrente, Alejandro Rodríguez González, Mariano Provencio, Ernestina Menasalvas
2021	B	`conf`	Extracting Cancer Treatments from Clinical Text written in Spanish: A Deep Learning Approach. DSAA Oswaldo Solarte Pabón, Alberto Blázquez-Herranz, Maria Torrente, Alejandro Rodríguez González, Mariano Provencio, Ernestina Menasalvas
2021	Misc	`conf`	On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer. AMIA Sameh K. Mohamed, Brian Walsh, Mohan Timilsina, Vít Novácek, Maria Torrente, Fabio Franco, Mariano Provencio, Adrianna Janik, Luca Costabello, Pontus Stenetorp, Pasquale Minervini
2021	B	`conf`	Towards Treatment Patterns Validation in Lung Cancer Patients. DSAA Arturo Redondo, Belén Ríos-Sánchez, Guillermo Vigueras, Belén Otero, Roberto Hernández López, Maria Torrente, Ernestina Menasalvas, Mariano Provencio, Alejandro Rodríguez González
2020	B	`conf`	A Data-Driven Approach for Analyzing Healthcare Services Extracted from Clinical Records. CBMS Manuel Scurti, Ernestina Menasalvas Ruiz, Maria-Esther Vidal, Maria Torrente, Dimitrios Vogiatzis, George Paliouras, Mariano Provencio, Alejandro Rodríguez González
2020	B	`conf`	Lung Cancer Diagnosis Extraction from Clinical Notes Written in Spanish. CBMS Oswaldo Solarte Pabón, Maria Torrente, Alejandro Rodríguez González, Mariano Provencio, Ernestina Menasalvas, Juan Manuel Tuñas
2020	J	`jnl`	Reconstructing the patient's natural history from electronic health records. Artif. Intell. Medicine Marjan Najafabadipour, Massimiliano Zanin, Alejandro Rodríguez González, Maria Torrente, Beatriz Nuñez García, Juan Luis Cruz-Bermúdez, Mariano Provencio, Ernestina Menasalvas
2019	B	`conf`	iASiS: Towards Heterogeneous Big Data Analysis for Personalized Medicine. CBMS Anastasia Krithara, Fotis Aisopos, Vassiliki Rentoumi, Anastasios Nentidis, Konstantinos Bougiatiotis, Maria-Esther Vidal, Ernestina Menasalvas, Alejandro Rodríguez González, Eleftherios Samaras, Peter Garrard, Maria Torrente, Mariano Provencio Pulla, Nikos Dimakopoulos, Rui Mauricio, Jordi Rambla De Argila, Gian Gaetano Tartaglia, George Paliouras
2018	J	`jnl`	IASIS and BigMedilytics: Towards personalized medicine in Europe. CoRR Ernestina Menasalvas Ruiz, Alejandro Rodríguez González, Consuelo Gonzalo-Martín, Massimiliano Zanin, Juan Manuel Tuñas, Mariano Provencio, Maria Torrente, Fabio Franco, Virginia Calvo, Beatriz Nuñez