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ORCIDErnestina Menasalvas Ruiz
Ernestina Menasalva Ruiz – Ernestina Menasalvas
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- affiliation: Universidad Politécnica de Madrid, Spain
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2020 – today
- 2024
[j50]Alfredo Madrid-García
, Beatriz Merino-Barbancho, Dalifer Freites-Núñez, Luis Rodríguez-Rodríguez, Ernestina Menasalvas Ruiz, Alejandro Rodríguez González, Anselmo Peñas:
From Web to RheumaLpack: Creating a Linguistic Corpus for Exploitation and Knowledge Discovery in Rheumatology. Comput. Biol. Medicine 179: 108920 (2024)- [j49]Antonio Jesús Díaz-Honrubia, Philipp D. Rohde, Emetis Niazmand, Ernestina Menasalvas, Maria-Esther Vidal:
PALADIN: A process-based constraint language for data validation. Inf. Fusion 112: 102557 (2024) - [c98]Alvaro Garcia-Barragán, Alberto González Calatayud, Lucía Prieto Santamaría, Víctor Robles, Ernestina Menasalvas, Alejandro Rodríguez:
Step-forward structuring disease phenotypic entities with LLMs for disease understanding. CBMS 2024: 213-218 - [c97]Esteban Ricardo Salazar Cabrera, Alejandro Santos-Díaz, Ernestina Menasalvas, José Gerardo Tamez Pena, Victor Robles:
Named Entity Recognition in Mammography Radiology Reports using a Multilingual Transfer Learning Approach. CBMS 2024: 273-277 - [i7]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:
iASiS: Towards Heterogeneous Big Data Analysis for Personalized Medicine. CoRR abs/2407.06748 (2024) - 2023
- [j48]Leonardo Cañete-Sifuentes, Victor Robles, Ernestina Menasalvas, Raúl Monroy Borja:
Comparing Automated Machine Learning Against an Off-the-Shelf Pattern-Based Classifier in a Class Imbalance Problem: Predicting University Dropout. IEEE Access 11: 139147-139156 (2023) - [j47]Oswaldo Solarte Pabón, Orlando Montenegro, Alvaro Garcia-Barragán, Maria Torrente, Mariano Provencio, Ernestina Menasalvas, Víctor Robles:
Transformers for extracting breast cancer information from Spanish clinical narratives. Artif. Intell. Medicine 143: 102625 (2023) - [j46]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:
Knowledge graphs for enhancing transparency in health data ecosystems. Semantic Web 14(5): 943-976 (2023) - [c96]Alvaro Garcia-Barragán, Oswaldo Solarte Pabón, Georgiy Nedostup, Mariano Provencio, Ernestina Menasalvas, Victor Robles:
Structuring Breast Cancer Spanish Electronic Health Records Using Deep Learning. CBMS 2023: 404-409 - [c95]Daniel Gómez-Bravo, Aaron García, Guillermo Vigueras, Belén Ríos-Sánchez, Alejandra Pérez-García, Vanessa Ospina, María Torrente, Ernestina Menasalvas, Mariano Provencio, Alejandro Rodríguez González:
Clustering-based Pattern Discovery in Lung Cancer Treatments. CBMS 2023: 694-699 - 2022
- [j45]Antonio Jesús Díaz-Honrubia, Alberto Blázquez-Herranz, Lucía Prieto Santamaría, Ernestina Menasalvas Ruiz, Alejandro Rodríguez González, Gustavo Gonzalez Granadillo, Rodrigo Diaz, Emmanouil Panaousis, Christos Xenakis:
A Trusted Platform Module-based, Pre-emptive and Dynamic Asset Discovery Tool. J. Inf. Secur. Appl. 71: 103350 (2022) - [j44]Oswaldo Solarte Pabón, Orlando Montenegro, Maria Torrente, Alejandro Rodríguez González, Mariano Provencio, Ernestina Menasalvas:
Negation and uncertainty detection in clinical texts written in Spanish: a deep learning-based approach. PeerJ Comput. Sci. 8: e913 (2022) - [c94]Daniel Gómez-Bravo, Aaron García, Guillermo Vigueras, Belén Ríos-Sánchez, Belén Otero, Roberto Hernández López, María Torrente, Ernestina Menasalvas, Mariano Provencio, Alejandro Rodríguez González:
Subgroup Discovery Analysis of Treatment Patterns in Lung Cancer Patients. CBMS 2022: 1-7 - [c93]Adrián Ayuso Muñoz, Esther Ugarte Carro, Lucía Prieto Santamaría, Belén Otero-Carrasco, Ernestina Menasalvas Ruiz, Yuliana Pérez-Gallardo, Alejandro Rodríguez González:
REDIRECTION: Generating drug repurposing hypotheses using link prediction with DISNET data. CBMS 2022: 7-12 - [c92]Oswaldo Solarte Pabón, Maria Torrente, Alvaro Garcia-Barragán, Mariano Provencio, Ernestina Menasalvas, Victor Robles:
Deep learning to extract Breast Cancer diagnosis concepts. CBMS 2022: 13-18 - [c91]Belén Otero-Carrasco, Aurora Pérez-Pérez, Ernestina Menasalvas Ruiz, Juan Pedro Caraça-Valente Hernández, Lucía Prieto Santamaría, Alejandro Rodríguez González:
Drug repositioning with gender perspective focused on Adverse Drug Reactions. CBMS 2022: 435-440 - [i6]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:
Machine Learning-Assisted Recurrence Prediction for Early-Stage Non-Small-Cell Lung Cancer Patients. CoRR abs/2211.09856 (2022) - 2021
- [j43]Rodrigo Madurga, Noemí García-Romero, Beatriz Jiménez, Ana Collazo, Francisco Pérez-Rodríguez, Aurelio Hernández-Laín, Carlos Fernández-Carballal, Ricardo Prat-Acín, Massimiliano Zanin, Ernestina Menasalvas, Ángel Ayuso-Sacido:
Normal tissue content impact on the GBM molecular classification. Briefings Bioinform. 22(3) (2021) - [j42]Eduardo P. García del Valle, Gerardo Lagunes García, Lucía Prieto Santamaría, Massimiliano Zanin, Ernestina Menasalvas Ruiz, Alejandro Rodríguez González:
DisMaNET: A network-based tool to cross map disease vocabularies. Comput. Methods Programs Biomed. 207: 106233 (2021) - [c90]Eduardo P. García del Valle, Lucía Prieto Santamaría, Gerardo Lagunes García, Massimiliano Zanin, Ernestina Menasalvas Ruiz, Alejandro Rodríguez González:
A Meta-Path-Based Prediction Method for Disease Comorbidities. CBMS 2021: 219-224 - [c89]Oswaldo Solarte Pabón, Orlando Montenegro, Alberto Blázquez-Herranz, Hadi Saputro, Alejandro Rodríguez González, Ernestina Menasalvas:
Information Extraction from Spanish Radiology Reports using multilingual BERT. CLEF (Working Notes) 2021: 834-845 - [c88]Oswaldo Solarte Pabón, Alberto Blázquez-Herranz, Maria Torrente, Alejandro Rodríguez González, Mariano Provencio, Ernestina Menasalvas:
Extracting Cancer Treatments from Clinical Text written in Spanish: A Deep Learning Approach. DSAA 2021: 1-6 - [c87]Arturo Redondo, Belén Ríos-Sánchez, Guillermo Vigueras, Belén Otero, Roberto Hernández López, Maria Torrente, Ernestina Menasalvas, Mariano Provencio, Alejandro Rodríguez González:
Towards Treatment Patterns Validation in Lung Cancer Patients. DSAA 2021: 1-8 - 2020
- [j41]Marjan Najafabadipour, Massimiliano Zanin, Alejandro Rodríguez González, Maria Torrente, Beatriz Nuñez García, Juan Luis Cruz-Bermúdez, Mariano Provencio, Ernestina Menasalvas:
Reconstructing the patient's natural history from electronic health records. Artif. Intell. Medicine 105: 101860 (2020) - [j40]Gerardo Lagunes García, Alejandro Rodríguez González, Lucía Prieto Santamaría, Eduardo P. García del Valle, Massimiliano Zanin, Ernestina Menasalvas Ruiz:
How Wikipedia disease information evolve over time? An analysis of disease-based articles changes. Inf. Process. Manag. 57(3): 102225 (2020) - [j39]Ayan Seal, Angel García-Pedrero, Debotosh Bhattacharjee, Mita Nasipuri, Mario Lillo-Saavedra, Ernestina Menasalvas, Consuelo Gonzalo-Martín:
Multi-scale RoIs selection for classifying multi-spectral images. Multidimens. Syst. Signal Process. 31(2): 745-769 (2020) - [c86]Lucía Prieto Santamaría, Eduardo P. García del Valle, Gerardo Lagunes García, Massimiliano Zanin, Alejandro Rodríguez González, Ernestina Menasalvas Ruiz, Yuliana Pérez-Gallardo, Gandhi Hernández-Chan:
Analysis of New Nosological Models from Disease Similarities using Clustering. CBMS 2020: 183-188 - [c85]Manuel Scurti, Ernestina Menasalvas Ruiz, Maria-Esther Vidal, Maria Torrente, Dimitrios Vogiatzis, George Paliouras, Mariano Provencio, Alejandro Rodríguez González:
A Data-Driven Approach for Analyzing Healthcare Services Extracted from Clinical Records. CBMS 2020: 193-196 - [c84]Alejandro Rodríguez González, Juan Manuel Tuñas, Diego Fernandez Peces-Barba, Ernestina Menasalvas Ruiz, Almudena Jaramillo, Manuel Cotarelo, Antonio Conejo, Amalia Arce, Angel Gil:
Creating a Metamodel Based on Machine Learning to Identify the Sentiment of Vaccine and Disease-Related Messages in Twitter: the MAVIS Study. CBMS 2020: 245-250 - [c83]Oswaldo Solarte Pabón, Maria Torrente, Alejandro Rodríguez González, Mariano Provencio, Ernestina Menasalvas, Juan Manuel Tuñas:
Lung Cancer Diagnosis Extraction from Clinical Notes Written in Spanish. CBMS 2020: 492-497 - [c82]Oswaldo Solarte Pabón, Ernestina Menasalvas, Alejandro Rodríguez González:
Spa-neg: An Approach for Negation Detection in Clinical Text Written in Spanish. IWBBIO 2020: 323-337 - [c81]Massimiliano Zanin, Ernestina Menasalvas Ruiz, Alejandro Rodríguez González, Christian Wolff, Juana Wendt, Elisa A. Herrmann, Pavel Smrz:
Developing a Data Analytics Toolbox to Support CPS-based Services. MECO 2020: 1-7 - [c80]Massimiliano Zanin, Ernestina Menasalvas, Alejandro Rodríguez González, Pavel Smrz:
An Analytics Toolbox for Cyber-Physical Systems Data Analysis: Requirements and Challenges. MIPRO 2020: 271-276
2010 – 2019
- 2019
- [j38]Alejandro Rodríguez González, Athena Vakali, Miguel Angel Mayer, Takashi Okumura, Ernestina Menasalvas Ruiz, Myra Spiliopoulou:
Introduction to the special issue on social data analytics in medicine and healthcare. Int. J. Data Sci. Anal. 8(4): 325-326 (2019) - [j37]Eduardo P. García del Valle, Gerardo Lagunes García, Lucía Prieto Santamaría, Massimiliano Zanin, Ernestina Menasalvas Ruiz, Alejandro Rodríguez González:
Disease networks and their contribution to disease understanding: A review of their evolution, techniques and data sources. J. Biomed. Informatics 94 (2019) - [j36]Andreas Philipp Hassler, Ernestina Menasalvas, Francisco Jose Garcia-Garcia, Leocadio Rodríguez-Mañas, Andreas Holzinger:
Importance of medical data preprocessing in predictive modeling and risk factor discovery for the frailty syndrome. BMC Medical Informatics Decis. Mak. 19(1): 33:1-33:17 (2019) - [c79]Marjan Najafabadipour, Massimiliano Zanin, Alejandro Rodríguez González, Consuelo Gonzalo-Martín, Beatriz Nuñez García, Virginia Calvo, Juan Luis Cruz-Bermúdez, Mariano Provencio, Ernestina Menasalvas:
Recognition of Time Expressions in Spanish Electronic Health Records. CBMS 2019: 69-74 - [c78]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:
iASiS: Towards Heterogeneous Big Data Analysis for Personalized Medicine. CBMS 2019: 106-111 - [c77]Eduardo P. García del Valle, Gerardo Lagunes García, Ernestina Menasalvas Ruiz, Lucía Prieto Santamaría, Massimiliano Zanin, Alejandro Rodríguez González:
Completing Missing MeSH Code Mappings in UMLS Through Alternative Expert-Curated Sources. CBMS 2019: 174-179 - [c76]César Antonio Ortiz Toro, Nuria Gutiérrez Sánchez, Consuelo Gonzalo-Martín, Roberto Garrido García, Alejandro Rodríguez González, Ernestina Menasalvas Ruiz:
Radiomics Textural Features Extracted from Subcortical Structures of Grey Matter Probability for Alzheimers Disease Detection. CBMS 2019: 391-397 - [c75]Gerardo Lagunes García, Lucía Prieto Santamaría, Eduardo P. García del Valle, Massimiliano Zanin, Ernestina Menasalvas Ruiz, Alejandro Rodríguez González:
Wikipedia Disease Articles: An Analysis of their Content and Evolution. CBMS 2019: 664-671 - [c74]Ana Correia, Christian Wolff, Massimiliano Zanin, Ernestina Menasalvas, Elisa A. Herrmann, Victor Corral, Miriam Kachelmann, Rance DeLong, Pavel Smrz:
Cross-CPP - An Ecosystem for Provisioning, Consolidating, and Analysing Big Data from Cyber-Physical Products. CPSS@IOT 2019: 1-8 - [c73]Ernestina Menasalvas, Ana María Moreno, Nik Swoboda:
A Proposal for Recognizing Skills in Data Science Using Open Badges. ITiCSE 2019: 316 - [c72]Marjan Najafabadipour, Juan Manuel Tuñas, Alejandro Rodríguez González, Ernestina Menasalvas:
Analysis of Electronic Health Records to Identify the Patient's Treatment Lines: Challenges and Opportunities. SGAI Conf. 2019: 437-442 - [p9]Ziawasch Abedjan, Nozha Boujemaa, Stuart Campbell, Patricia Casla, Supriyo Chatterjea, Sergio Consoli, Cristóbal Costa Soria, Paul Czech, Marija Despenic, Chiara Garattini, Dirk Hamelinck, Adrienne Heinrich, Wessel Kraaij, Jacek Kustra, Aizea Lojo, Marga Martin Sanchez, Miguel Angel Mayer, Matteo Melideo, Ernestina Menasalvas, Frank Møller Aarestrup, Elvira Narro Artigot, Milan Petkovic, Diego Reforgiato Recupero, Alejandro Rodríguez González, Gisele Roesems Kerremans, Roland Roller, Mário Romão, Stefan Rüping, Felix Sasaki, Wouter Spek, Nenad Stojanovic, Jack Thoms, Andrejs Vasiljevs, Wilfried Verachtert, Roel Wuyts:
Data Science in Healthcare: Benefits, Challenges and Opportunities. Data Science for Healthcare 2019: 3-38 - 2018
- [j35]Massimiliano Zanin, Ernestina Menasalvas, Xiaoqian Sun, Sebastian Wandelt:
From the Difference of Structures to the Structure of the Difference. Complex. 2018: 4326097:1-4326097:12 (2018) - [j34]Massimiliano Zanin, Alejandro Rodríguez González, Ernestina Menasalvas Ruiz, David Papo:
Assessing Time Series Reversibility through Permutation Patterns. Entropy 20(9): 665 (2018) - [j33]Ayan Seal, Debotosh Bhattacharjee, Mita Nasipuri, Consuelo Gonzalo-Martín, Ernestina Menasalvas:
À-trous wavelet transform-based hybrid image fusion for face recognition using region classifiers. Expert Syst. J. Knowl. Eng. 35(6) (2018) - [j32]Ernestina Menasalvas Ruiz, Juan Manuel Tuñas, Guzmán Bermejo, Consuelo Gonzalo-Martín, Alejandro Rodríguez González, Massimiliano Zanin, Cristina Gonzalez de Pedro, Marta Mendez, Olga Zaretskaia, Jesús Rey, Consuelo Parejo, Juan Luis Cruz-Bermúdez, Mariano Provencio:
Profiling Lung Cancer Patients Using Electronic Health Records. J. Medical Syst. 42(7): 126:1-126:10 (2018) - [j31]César Antonio Ortiz, Consuelo Gonzalo-Martín, Angel García-Pedrero, Ernestina Menasalvas Ruiz:
Supervoxels-Based Histon as a New Alzheimer's Disease Imaging Biomarker. Sensors 18(6): 1752 (2018) - [j30]Pedro Lima-Monteiro, Massimiliano Zanin, Ernestina Menasalvas Ruiz, João Paulo Pimentão, Pedro Alexandre da Costa Sousa:
Indoor Temperature Prediction in an IoT Scenario. Sensors 18(11): 3610 (2018) - [c71]Eduardo P. García del Valle, Gerardo Lagunes García, Lucía Prieto Santamaría, Massimiliano Zanin, Ernestina Menasalvas Ruiz, Alejandro Rodríguez González:
Evaluating Wikipedia as a Source of Information for Disease Understanding. CBMS 2018: 399-404 - [c70]Marjan Najafabadipour, Juan Manuel Tuñas, Alejandro Rodríguez González, Ernestina Menasalvas:
Lung Cancer Concept Annotation from Spanish Clinical Narratives. DILS 2018: 153-163 - [c69]Alejandro Rodríguez González, Consuelo Gonzalo, Ernestina Menasalvas:
Mining Electronic Health Records: Challenges and Impact. SITIS 2018: 747-754 - [i5]Eduardo P. García del Valle, Gerardo Lagunes García, Lucía Prieto Santamaría, Massimiliano Zanin, Alejandro Rodríguez González, Ernestina Menasalvas Ruiz:
Evaluating Wikipedia as a source of information for disease understanding. CoRR abs/1808.01459 (2018) - [i4]Marjan Najafabadipour, Juan Manuel Tuñas, Alejandro Rodríguez González, Ernestina Menasalvas:
Lung Cancer Concept Annotation from Spanish Clinical Narratives. CoRR abs/1809.06639 (2018) - [i3]Ernestina Menasalvas Ruiz, Alejandro Rodríguez González, Consuelo Gonzalo-Martín, Massimiliano Zanin, Juan Manuel Tuñas, Mariano Provencio, Maria Torrente, Fabio Franco, Virginia Calvo, Beatriz Nuñez:
IASIS and BigMedilytics: Towards personalized medicine in Europe. CoRR abs/1809.07784 (2018) - 2017
- [j29]Ayan Seal, Debotosh Bhattacharjee, Mita Nasipuri, Consuelo Gonzalo-Martín, Ernestina Menasalvas:
Fusion of Visible and Thermal Images Using a Directed Search Method for Face Recognition. Int. J. Pattern Recognit. Artif. Intell. 31(4): 1756005:1-1756005:17 (2017) - [j28]Consuelo Gonzalo-Martín, Mario Lillo-Saavedra, Angel García-Pedrero, Octavio Lagos, Ernestina Menasalvas:
Daily Evapotranspiration Mapping Using Regression Random Forest Models. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(12): 5359-5368 (2017) - [c68]Ernestina Menasalvas Ruiz, Consuelo Gonzalo, Juan Manuel Tuñas, Alejandro Rodríguez González, Mariano Provencio, Cristina Gonzalez de Pedro, Marta Mendez, Olga Zaretskaia, Juan Luis Cruz, Jesús Rey, Consuelo Parejo:
OncoCall: Analyzing the Outcomes of the Oncology Telephone Patient Assistance. CBMS 2017: 624-629 - [c67]Virginia Aparicio-Paniagua, Jorge Pérez-Muñoz, Alejandro Rodríguez González, Angel García-Pedrero, Juan Miguel Gómez-Berbís, Consuelo Gonzalo-Martín, Ernestina Menasalvas Ruiz, Giner Alor-Hernández:
Automatic Recording and Analysis of Somniloquy Through the Use of Mobile Devices to Support the Diagnosis of Psychological Pathologies. CITI 2017: 169-180 - [c66]César Antonio Ortiz Toro, Consuelo Gonzalo-Martín, Angel García-Pedrero, Alejandro Rodríguez González, Ernestina Menasalvas:
Mitosis Detection in Breast Cancer Using Superpixels and Ensemble Classifiers. PACBB 2017: 137-145 - 2016
- [j27]Alejandro Rodríguez González, Ernestina Menasalvas Ruiz, Miguel Angel Mayer:
Automatic extraction and identification of users' responses in Facebook medical quizzes. Comput. Methods Programs Biomed. 127: 197-203 (2016) - [j26]Miguel Ángel Abad, João Bártolo Gomes, Ernestina Menasalvas:
Predicting recurring concepts on data-streams by means of a meta-model and a fuzzy similarity function. Expert Syst. Appl. 46: 87-105 (2016) - [j25]Antonio Gracia Berná, Santiago González, Víctor Robles, Ernestina Menasalvas Ruiz, Tatiana von Landesberger:
New insights into the suitability of the third dimension for visualizing multivariate/multidimensional data: A study based on loss of quality quantification. Inf. Vis. 15(1): 3-30 (2016) - [j24]Consuelo Gonzalo-Martín, Mario Lillo-Saavedra, Ernestina Menasalvas, David Fonseca-Luengo, Angel García-Pedrero, Roberto Costumero:
Local optimal scale in a hierarchical segmentation method for satellite images - An OBIA approach for the agricultural landscape. J. Intell. Inf. Syst. 46(3): 517-529 (2016) - [c65]Ernestina Menasalvas, Alejandro Rodríguez González, Roberto Costumero, Hector Ambit, Consuelo Gonzalo:
Clinical Narrative Analytics Challenges. IJCRS 2016: 23-32 - [p8]Ernestina Menasalvas, Consuelo Gonzalo-Martín:
Challenges of Medical Text and Image Processing: Machine Learning Approaches. Machine Learning for Health Informatics 2016: 221-242 - [i2]Massimiliano Zanin, David Papo, Pedro A. C. Sousa, Ernestina Menasalvas, Andrea Nicchi, Elaine Kubik, Stefano Boccaletti:
Combining complex networks and data mining: why and how. CoRR abs/1604.08816 (2016) - 2015
- [j23]César Antonio Ortiz Toro, Consuelo Gonzalo-Martín, Angel García-Pedrero, Ernestina Menasalvas Ruiz:
Superpixel-Based Roughness Measure for Multispectral Satellite Image Segmentation. Remote. Sens. 7(11): 14620-14645 (2015) - [c64]Miguel Ángel Abad, Ernestina Menasalvas:
Recurrent drifts: Aapplying fuzzy logic to concept similarity function. FedCSIS 2015: 19-29 - [c63]Myra Spiliopoulou, Pedro Pereira Rodrigues, Ernestina Menasalvas Ruiz:
Medical Mining: KDD 2015 Tutorial. KDD 2015: 2325 - [c62]Alejandro Rodríguez González, Marcos Martínez Romero, Roberto Costumero, Mark D. Wilkinson, Ernestina Menasalvas Ruiz:
Diagnostic Knowledge Extraction from MedlinePlus: An Application for Infectious Diseases. PACBB 2015: 79-87 - [c61]Alejandro Rodríguez González, Marcos Martínez Romero, Roberto Costumero, Mark D. Wilkinson, Ernestina Menasalvas Ruiz:
Erratum to: Diagnostic Knowledge Extraction from MedlinePlus: An Application for Infectious Diseases. PACBB 2015: E1 - 2014
- [j22]Antonio Gracia Berná, Santiago González, Victor Robles, Ernestina Menasalvas Ruiz:
A methodology to compare Dimensionality Reduction algorithms in terms of loss of quality. Inf. Sci. 270: 1-27 (2014) - [j21]Javier Solana, César Cáceres, Alberto García-Molina, Paloma Chausa, Eloy Opisso, Teresa Roig-Rovira, Ernestina Menasalvas, Josep María Tormos Muñoz, Enrique J. Gómez:
Intelligent Therapy Assistant (ITA) for cognitive rehabilitation in patients with acquired brain injury. BMC Medical Informatics Decis. Mak. 14: 58 (2014) - [j20]João Bártolo Gomes, Mohamed Medhat Gaber, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz:
Mining Recurring Concepts in a Dynamic Feature Space. IEEE Trans. Neural Networks Learn. Syst. 25(1): 95-110 (2014) - [c60]Roberto Costumero, Angel García-Pedrero, Consuelo Gonzalo-Martín, Ernestina Menasalvas, Socorro Millán:
Text Analysis and Information Extraction from Spanish Written Documents. Brain Informatics and Health 2014: 188-197 - [c59]Roberto Costumero, Federico López, Consuelo Gonzalo-Martín, Marta Millán, Ernestina Menasalvas:
An Approach to Detect Negation on Medical Documents in Spanish. Brain Informatics and Health 2014: 366-375 - [c58]Miguel Ángel Abad, João Bártolo Gomes, Ernestina Menasalvas Ruiz:
Recurring concept detection for spam filtering. FUSION 2014: 1-7 - [c57]Massimiliano Zanin, Ernestina Menasalvas Ruiz, Stefano Boccaletti, Pedro A. C. Sousa:
Analysis of Complex Data by Means of Complex Networks. DoCEIS 2014: 39-46 - [c56]Roberto Costumero, Consuelo Gonzalo-Martín, Ernestina Menasalvas:
TIDA: A Spanish EHR Semantic Search Engine. PACBB 2014: 235-242 - [c55]David Fonseca-Luengo, Angel García-Pedrero, Mario Lillo-Saavedra, Roberto Costumero, Ernestina Menasalvas, Consuelo Gonzalo-Martín:
Optimal Scale in a Hierarchical Segmentation Method for Satellite Images. RSEISP 2014: 351-358 - [c54]César Antonio Ortiz, Consuelo Gonzalo-Martín, José María Peña Sánchez, Ernestina Menasalvas:
3D Dendrite Spine Detection - A Supervoxel Based Approach. RSEISP 2014: 359-366 - [c53]Ayan Seal, Debotosh Bhattacharjee, Mita Nasipuri, Consuelo Gonzalo-Martín, Ernestina Menasalvas:
Histogram of Bunched Intensity Values Based Thermal Face Recognition. RSEISP 2014: 367-374 - [e5]Chris Cornelis, Marzena Kryszkiewicz, Dominik Slezak, Ernestina Menasalvas Ruiz, Rafael Bello, Lin Shang:
Rough Sets and Current Trends in Computing - 9th International Conference, RSCTC 2014, Granada and Madrid, Spain, July 9-13, 2014. Proceedings. Lecture Notes in Computer Science 8536, Springer 2014, ISBN 978-3-319-08643-9 [contents] - [i1]Massimiliano Zanin, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz:
Information content: beyond modularity in complex networks. CoRR abs/1401.5247 (2014) - 2013
- [j19]Luis Mengual, Oscar Marbán, Santiago Eibe, Ernestina Menasalvas Ruiz:
Multi-agent location system in wireless networks. Expert Syst. Appl. 40(6): 2244-2262 (2013) - [j18]João Bártolo Gomes, Mohamed Medhat Gaber, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz:
Collaborative Data Stream Mining in Ubiquitous Environments using Dynamic Classifier Selection. Int. J. Inf. Technol. Decis. Mak. 12(6): 1287-1308 (2013) - [j17]Aysegul Cayci, Ernestina Menasalvas Ruiz, Yücel Saygin, Santiago Eibe:
Self-configuring data mining for ubiquitous computing. Inf. Sci. 246: 83-99 (2013) - [c52]José María Peña Sánchez, Ernestina Menasalvas Ruiz, Santiago Muelas, Antonio LaTorre, Luís Peña, Sascha Ossowski:
Soft computing for content generation: Trading market in a basketball management video game. CIG 2013: 1-8 - 2012
- [j16]Andrea Zanda, Santiago Eibe, Ernestina Menasalvas Ruiz:
SOMAR: A SOcial Mobile Activity Recommender. Expert Syst. Appl. 39(9): 8423-8429 (2012) - [j15]Rommel Torres Tandazo, Luis Mengual, Oscar Marbán, Santiago Eibe, Ernestina Menasalvas Ruiz, Byron Maza:
A management Ad Hoc networks model for rescue and emergency scenarios. Expert Syst. Appl. 39(10): 9554-9563 (2012) - [j14]João Bártolo Gomes, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz:
Tracking recurrent concepts using context. Intell. Data Anal. 16(5): 803-825 (2012) - [j13]Miguel Vargas-Lombardo, Armando Jipsion, Rafael Vejarano, Ismael Camargo, Humberto Alvarez, Elena Villalba Mora, Ernestina Menasalva Ruiz:
Technologies to Better Serve the Millions of Diabetic Patients: A Holistic, Interactive and Persuasive ICT Model to Facilitate Self Care, in Extremely Poor Rural Zones of Central America. J. Medical Syst. 36(2): 595-600 (2012) - [j12]Massimiliano Zanin, Ernestina Menasalvas Ruiz, Pedro A. C. Sousa, Stefano Boccaletti:
Preprocessing and analyzing genetic data with complex networks: An application to Obstructive Nephropathy. Networks Heterog. Media 7(3): 473-481 (2012) - [c51]João Bártolo Gomes, Shonali Krishnaswamy, Mohamed Medhat Gaber, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz:
Mobile Activity Recognition Using Ubiquitous Data Stream Mining. DaWaK 2012: 130-141 - [c50]Miguel Ángel Abad, Ernestina Menasalvas Ruiz:
Framework for the Establishment of Resource-Aware Data Mining Techniques on Critical Infrastructures. IPMU (2) 2012: 560-569 - [c49]João Bártolo Gomes, Shonali Krishnaswamy, Mohamed Medhat Gaber, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz:
MARS: A Personalised Mobile Activity Recognition System. MDM 2012: 316-319 - [c48]Andrea Zanda, Ernestina Menasalvas Ruiz, Santiago Eibe:
Dynamic Clustering Process to Calculate Affinity Degree of Users as Basis of a Social Network Recommender. WISE Workshops 2012: 215-225 - [e4]Mohamed Medhat Gaber, Mihaela Cocea, Stephan Weibelzahl, Ernestina Menasalvas, Cyril Labbé:
Proceedings of the 1st International Workshop on Sentiment Discovery from Affective Data, SDAD@ECML/PKDD 2012, Bristol, UK, September 28, 2012. CEUR Workshop Proceedings 917, CEUR-WS.org 2012 [contents] - 2011
- [c47]João Bártolo Gomes, Mohamed Medhat Gaber, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz:
Context-Aware Collaborative Data Stream Mining in Ubiquitous Devices. IDA 2011: 22-33 - [c46]Andrea Zanda, Ernestina Menasalvas Ruiz, Santiago Eibe:
A social network activity recommender system for ubiquitous devices. ISDA 2011: 493-497 - [c45]