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Articles i Congressos

Articles
  • Dom Luís, A., Benítez, R., Bas, M.C., Cuamba, E. (2026). Higher education and student satisfaction: A FSQCA-based causal analysis in Mozambique. Rect@. Revista electrónica de comunicaciones y trabajos de ASEPUMA, 27(1), pp. 1 - 20. ISSN: 1575-605X. DOI: 10.24310/recta.27.1.2026.21904.
  • Bas, M.C., Benítez, R., Bolós, V.J. (2026). ENCERTIA: A dynamic R-Shiny app to support business decision-making using data envelopment analysis. SoftwareX, 33: 102525 1-7. DOI: 10.1016/j.softx.2026.102525.
  • Bolós, V.J., Benítez, R., Coll-Serrano, V. (2026). A new family of models with generalized orientation in data envelopment analysis. International Transactions in Operational Research (early access). DOI: 10.1111/itor.70063.
  • Dom Luís, A., Benítez, R., Bas, M.C. (2025). Bridging Crisp-Set Qualitative Comparative Analysis and Association Rule Mining: A Formal and Computational Integration. Mathematics, 13(12). DOI: 10.3390/math13121939.
  • Bas, M.C., Bolós, V.J., Prieto, A.E., Rodríguez-Echeverría, R., Sánchez-Figueroa, F. (2025). A multi-criteria decision support system to evaluate the effectiveness of training courses on citizens' employability. Applied Intelligence, 55: 57 1-16. DOI: 10.1007/s10489-024-05967-0.
  • López-García A., Liern V., Pérez-Gladish B. (2025). Determining the underlying role of corporate sustainability criteria in a ranking problem using UW-TOPSIS. Annals of Operations Research, 346(2), pp. 1321 - 1344. ISSN: 0254-5330. DOI: 10.1007/s10479-023-05543-8.
  • Bolós, V. J., Benítez, R. i Coll-Serrano, V. (2025). Data envelopment analysis with deaR. Journal of Statistical Software.
  • Bolós, V. J., Benítez, R. i Coll-Serrano, V. (2024). Chance constrained directional models in stochastic data envelopment analysis. Operations Research Perspectives, 12: 100307. DOI: 10.1016/j.orp.2024.100307.
  • López García A. (2023). Anàlisi comparativa de xarxes neuronals profundes per a la predicció del preu de mercat de Bitcoin. Rect@. Revista electrónica de comunicaciones y trabajos de ASEPUMA, 24, pp. 1 - 16. ISSN: 1575-605X. DOI: 10.24310/recta.24.1.2023.19858.
  • Bolós, V. J., i Benítez, R. (2022). wavScalogram: an R package with scalogram wavelet tools for time series analysis. The R Journal.
  • Bolós, V. J., Benítez, R. i Coll-Serrano, V. (2022). Continuous models combining slacks-based measures of efficiency and super-efficiency. Central European Journal of Operations Research. DOI: 10.1007/s10100-022-00813-5.
  • Bas, M.C., i Carot, J.M. (2022). A Model for Developing an Academic Activity Index for Higher Education Instructors Based on Composite Indicators. Educational Policy, 36: 1108-1134. DOI: 10.1177/0895904820951123.
  • Benítez, R., Coll-Serrano, V. i Bolós, V.J. (2021). Dear-shiny: An interactive web app for data envelopment analysis. Sustainability, 13, 6774. DOI: 10.3390/su13126774.
  • Blasco-Blasco O., Liern-García M., López-García A., Parada-Rico S.E. (2021). An Academic Performance Indicator using flexible Multi-Criteria methods. Mathematics, 9(19), p. 2396. ISSN: 2227-7390. DOI: 10.3390/math9192396.
  • López-García A., Blasco-Blasco O., Liern-García M., Parada-Rico S.E. (2023). Early detection of students' failure using Machine Learning techniques. Operations Research Perspectives, 11, pp. 1 - 11. ISSN: 2214-7160. DOI: 10.1016/j.orp.2023.100292.
  • Benítez, R., i Liern, V. (2021). Unweighted TOPSIS: a new multi-criteria tool for sustainability analysis. International Journal of Sustainable Development & World Ecology, 28: 36-48. DOI: 10.1080/13504509.2020.1778583.
  • Ferrer, R., Benítez, R., i Bolós, V. J. (2021). Interdependence between green financial instruments and major conventional assets: a wavelet-based network analysis. Mathematics, 9: 900-919. DOI: 10.3390/math9080900.
  • Conejero, J.M, Preciado, J.C., Prieto, A.E., Bas. M.C. i Bolós, V.J. (2021). Applying data driven decision making to rank vocational and educational training programs with TOPSIS. Decision Support Systems, 142: 113470. DOI: 10.1016/j.dss.2020.113470.
  • Bolós, V. J., Benítez, R., i Ferrer, R. (2020). A New Wavelet Tool to Quantify Non-Periodicity of Non-Stationary Economic Time Series. Mathematics, 8: 844-859. DOI: 10.3390/math8050844.
  • León-Pérez, F., Bas, M.C., i Escudero-Nahón, A. (2020). Self-perception about emerging digital skills in Higher Education students. Comunicar, 28: 89-98. DOI: 10.3916/C62-2020-08.
  • Alfaro-Saiz, J., Bas, M.C., Giner-Bosch, V., Rodriguez-Rodriguez, R. i Verdecho, M.J. (2020). An Evaluation of the Environmental Factors for Supply Chain Strategy Decisions Using Grey Systems and Composite Indicators. Applied Mathematical Modelling, 79: 490-505. DOI: 10.1016/j.apm.2019.10.048.
  • Benítez, R., Carmen, O.-C., Preciado, J. C., Conejero, J. M., Sánchez Figueroa, F., i Rubio-Largo, A. (2019). A Short-Term Data Based Water Consumption Prediction Approach. Energies, 12, 2359. DOI: 10.3390/en12122359.
  • Preciado, J. C., Prieto, Á. E., Benítez, R., Rodríguez-Echevarría, R., i Conejero, J. M. (2019). A High-Frequency Data-Driven Machine Learning Approach for Demand Forecasting in Smart Cities. Scientific Programming, 2019, 8319549. DOI: 10.1155/2019/8319549.
  • Ferrer, R., Jammazi, R., Bolós, V. J., i Benítez, R. (2018). Interactions between financial stress and economic activity for the U.S.: A time- and frequency-varying analysis using wavelets. Physica A: Statistical Mechanics and Its Applications, 492: 446-462. DOI: 10.1016/j.physa.2017.10.044.
  • Bas, M.C., Tarantola, S., Carot, J.M. i Conchado, A. (2017). Sensitivity analysis: a necessary ingredient for measuring the quality of a teaching activity index. Social Indicators Research, 131: 931-946.
  • Bas, M.C., Ortiz, J., Ballesteros, L. i Martorell, S. (2017). Forecasting 7BE concentrations in surface air using time series analysis. Atmospheric Environment, 155: 154-161. DOI: 10.1016/j.atmosenv.2017.02.021.
  • Bas, M.C., Ortiz, J., Ballesteros, L. i Martorell, S. (2017). Evaluation of a multiple linear regression model and SARIMA model in forecasting 7Be air concentrations. Chemosphere, 177: 326-333. DOI: 10.1016/j.chemosphere.2017.03.029.
  • Bolós, V. J., Benítez, R., Ferrer, R., i Jammazi, R. (2017). The windowed scalogram difference: a novel wavelet tool for comparing time series. Applied Mathematics and Computations, 312: 49-65. DOI: 10.1016/j.amc.2017.05.046.
  • Bas, M.C., Ortiz, J., Ballesteros, L. i Martorell, S. (2016). Analysis of the influence of solar activity and atmospheric factors on 7Be air concentration by seasonal-trend decomposition. Atmospheric Environment, 145: 147-157. DOI: 10.1016/j.atmosenv.2016.09.027.
  • Ferrer, R., Bolós, V. J., i Benítez, R. (2016). Interest rate changes and stock returns: A European multi-country study with wavelets. International Review of Economics and Finance, 44: 1–12. DOI: 10.1016/j.iref.2016.03.001.
  • Benítez, R., Bolós, V. J., i Ramírez, M. E. (2010). A wavelet-based tool for studying non-periodicity. Computers & Mathematics with Applications, 60: 634–641. DOI: 10.1016/j.camwa.2010.05.010.

 

Congressos
  • Títol: Intel·ligència Composta: Dades, Indicadors i IA per a la presa de decisions empresarials. Conferència: Matching Parc: De la intenció a l'impacte: IA amb propòsit empresarial. Lloc i any: València, 2026.
  • Títol: An AI-Driven End-to-End Multimodal Architecture for Automatic Music Plagiarism Detection. Congrés: International Conference on Mathematics and Computation in Music (MCM26). Lloc i any: Nova York, 2026.
  • Títol: A Fingerprinting-Based Strategy for Musical Genre Similarity. Congrés: International Conference on Mathematics and Computation in Music (MCM24). Lloc i any: Coïmbra, 2026.
  • Títol: Anàlisi d'eficiència amb R: paquets deaR, SdeaR i deaCI. Congrés: IV Congrés & XV Jornades d'Usuaris de R. Lloc i any: València, 2025.
  • Títol: Towards a Low-Rank Approach to Compress Deep Neural Networks. Congrés: International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS24). Lloc i any: Salamanca, 2024.
  • Títol: A Proposal for Selecting the Most Value-Aligned Preferences in Decision-Making Using Agreement Solutions. Congrés: International Conference on Agents and Artificial Intelligence (ICAART 2024). Lloc i any: Roma, 2024.
  • Títol: Analysis of the satisfaction of future teachers at Licungo University: a fsQCA based study. Congrés: European QCA Conference. Lloc i any: Tilburg (Holanda), 2024.
  • Títol: Anàlisi comparativa amb QCA i Regles d'associació, similituds i diferències. Congrés: International Conference ASEPELT. Lloc i any: Évora (Portugal), 2023.
  • Títol: Sistema d'indicadors per a mesurar els efectes de la COVID-19 en les PIMES valencianes. Congrés: IV Congrés MESVAL, “Propostes d'economia i empresa per a un futur sostenible”. Lloc i any: València, 2022.
  • Títol: On the Application of Explainable Artificial Intelligence Techniques on HRTF Data. Congrés: International Conference on Acoustics (ICA 2022). Lloc i any: Corea, 2022.
  • Títol: A Proposal to Compare the Similarity Between Musical Products. One More Step for Automated Plagiarism Detection? Congrés: International Conference on Mathematics and Computation in Music (MCM22). Lloc i any: Atlanta, 2022.
  • Títol: Indicadors + Estadística: ingredients necessaris per a mesurar la qualitat en educació. Congrés: Primer cicle de conferències en Tecnologia Educativa, Centre d'Investigació en Tecnologia Educativa de la Facultat de Psicologia. Lloc i any: Querétaro, 2021.
  • Títol: deaR: an R package for data envelopment analysis. Autors: V. Coll, V. J. Bolós, R. Benítez. Congrés: 16th International Conference on Data Envelopment Analysis, iDEAs. Lloc i any: Wuhan (Xina), 26-28 d'octubre 2018.
  • Títol: Wavelet dissimilarities and clustering of economic time series. Autors: V. J. Bolós, R. Benítez. Congrés: XXV Congrés d'Equacions Diferencials i Aplicacions. Lloc i any: Cartagena (Múrcia), 26-30 de juny 2017.
  • Títol: Measuring internationalization performance of higher education institutions through composite indicators. Congrés: 11th International Technology, Education and Development Conference. Lloc i any: València, 2017.
  • Títol: The use of sensitivity analysis to evaluate the quality of a teaching activity index. Congrés: EDULEARN: 8th international conference on education and new learning technologies. Lloc i any: Barcelona, 2016.