Profesorado e Investigación
Directorio
Nin Guerrero, Jordi
Profesor titular, Departamento de Operaciones, Innovación y Data Sciences en Esade
Profesor contratado doctor URL
Director (Barcelona) Executive Master en Business Analytics, Executive Master en Business Analytics
Investigador, ESADE D3 - Institute for Data-Driven Decisions
Formación académica
- Doctor en Ciències de la Computació.
- Ingeniero en informática.
- Ingenieria técnica en informática de gestión.
Biografía
Ocupa el cargo de Profesor Asociado dentro del Departamento de Operaciones, Innovación y Ciencia de Datos de Esade Business School Universidad Ramon Llull.
Obtuvo su Licenciatura en Informática en 2004 por la Universitat Autònoma de Barcelona UAB. Posteriormente se adscribió al Instituto de Investigación en Inteligencia Artificial del Consejo Superior de Investigaciones Científicas IIIA-CSIC. En 2008, obtuvo su doctorado. en Ciencias de la Computación, siendo honrado con el Doctorado Sobresaliente. Premio del Departamento de Informática de la UAB. A continuación, realizó un puesto postdoctoral en el Centro Nacional Francés de Investigaciones Científicas CNRS. En 2010 asumió la plaza de profesor titular en el Departamento de Arquitectura de Computadores de la Universitat Politècnica de Catalunya UPC. Con una carrera polivalente, también ejerció como científico de datos senior en BBVA Data & Analytics de 2015 a 2019.
Desde 2019, retoma su trayectoria académica como profesor asociado en Esade Business School Universidad Ramon Llull. Sus actividades académicas giran en torno al análisis de redes y el aprendizaje automático, lo que refleja sus intereses de investigación en ciencia de datos e inteligencia artificial.
Publicaciones destacadas
- Unceta Mendieta, I., Salbanya Rovira, B., Coll, J., Villaret, M. & Nin, J. (2024). Optimizing resource allocation in home care services using MaxSAT. Cognitive Systems Research, 88, 101291. DOI: https://doi.org/10.1016/j.cogsys.2024.101291.
- Statuto, N., Unceta Mendieta, I., Nin, J. & Pujol Vila, O. (2023). A Scalable and Efficient Iterative Method for Copying Machine Learning Classifiers. Journal of Machine Learning Research, 24. DOI: https://doi.org/10.48550/arXiv.2302.02667.
- Nin, J. & Tomás, E. (2023). Default propagation in customer-supplier networks: An agent-based model approach to the isolation of companies in default. Journal of Ambient Intelligence and Humanized Computing, 14 (11), pp. 15127-15138. DOI: https://doi.org/10.1007/s12652-019-01370-7.
- Nuñez-Del-Prado, M. & Nin, J. (2023). Revisiting online anonymization algorithms to ensure location privacy. Journal of Ambient Intelligence and Humanized Computing, 14 (11), pp. 15097¿15108. DOI: https://doi.org/10.1007/s12652-019-01371-6.
- Nin, J., Salbanya Rovira, B. & Unceta Mendieta, I. (2023, October). Resource allocation in home care services using reinforcement learning [Paper presentation]. 25è Congrés Català d'Intel·ligència Artificial CCIA 202325, Sant Fruitós de Bages.
- Tous, R., Nin, J. & Igual, L. (E-pub ahead of print). (2023). Human pose completion in partial body camera shots. Journal of Experimental and Theoretical Artificial Intelligence. DOI: https://doi.org/10.1080/0952813X.2023.2241575.
- Unceta Mendieta, I. & Nin, J. (2022, January). Copying Machine Learning Classifiers [Paper presentation]. International Conference on AI and Financial Services, Madrid.
- Unceta Mendieta, I., Salbanya Rovira, B. & Nin, J. (2021). On the Convergence of Financial Distress Propagation on Generic Networks. In Villaret, M., Alsinet, T. & Fernandez, C., Valls, A. (Eds.), Artificial Intelligence Research and Development - Proceedings of the 23rd International Conference of the Catalan Association for Artificial Intelligence, CCIA 2021 (pp. 167-176). IOS Press BV. DOI: https://doi.org/10.3233/FAIA210130.
- Nin, J., Salbanya Rovira, B., Fleurquin, P., Tomás, E., Arenas, A. & Ramasco, J. J. (2021). Modeling financial distress propagation on customer-supplier networks. Chaos, 31 (5), 053119. DOI: https://doi.org/10.1063/5.0041104.
- Mougan, C., Masip, D., Nin, J. & Pujol, O. (2021). Quantile Encoder. In Torra, V., Narukawa, Y. (Ed.), Modeling Decisions for Artificial Intelligence - 18th International Conference, MDAI 2021, Proceedings (pp. 168-180). Springer Science and Business Media Deutschland GmbH. DOI: https://doi.org/10.1007/978-3-030-85529-1_14.
- Unceta Mendieta, I., Nin, J. & Pujol, O. (2021). Differential replication for credit scoring in regulated environments. Entropy, 23 (4), 407. DOI: https://doi.org/10.3390/e23040407.
- Unceta Mendieta, I., Nin, J. & Pujol, O. (2020). Risk mitigation in algorithmic accountability: The role of machine learning copies. PLOS ONE, 15 (11 November), e0241286. DOI: https://doi.org/10.1371/journal.pone.0241286.
- Unceta Mendieta, I., Nin, J. & Pujol, O. (2020). Environmental adaptation and differential replication in machine learning. Entropy, 22 (10), pp. 1-14. DOI: https://doi.org/10.3390/e22101122.
- Torra, V., Narukawa, Y., Nin, J. & Agell, N. (2020). Preface. Lecture Notes in Computer Science including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 12256 LNAI, pp. v.
- Unceta Mendieta, I., Nin, J. & Pujol, O. (2020). Copying Machine Learning Classifiers. IEEE Access, 8, pp. 160268-160284. DOI: https://doi.org/10.1109/ACCESS.2020.3020638.
- Unceta Mendieta, I., Palacios, D., Nin, J. & Pujol, O. (2020). Sampling unknown decision functions to build classifier copies. In Torra, V., Narukawa, Y. & Nin, J., Agell, N. (Eds.), Modeling Decisions for Artificial Intelligence - 17th International Conference, MDAI 2020, Proceedings (pp. 192-204). Springer. DOI: https://doi.org/10.1007/978-3-030-57524-3_16.
- Unceta Mendieta, I., Nin, J. & Pujol, O. (2020). Transactional Compatible Representations for High Value Client Identification. In Barbosa, H., Menezes, R. & Gomez-Gardenes, J., Gonçalves, B., Mangioni, G., Oliveira, M. (Eds.), Complex Networks XI - Proceedings of the 11th Conference on Complex Networks, CompleNet 2020 (pp. 334-345). Springer. DOI: https://doi.org/10.1007/978-3-030-40943-2_28.
- Barja, A., Martínez, A., Arenas, A., Fleurquin, P., Nin, J., Ramasco, J. J. & Tomás, E. (2019). Assessing the risk of default propagation in interconnected sectoral financial networks. EPJ Data Science, 8 (1), 32. DOI: https://doi.org/10.1140/epjds/s13688-019-0211-y.
- Arenas, A., Barja, A., Fleurquin, P., Martínez, A., Nin, J., Ramasco, J. J. & Tomás, E. (2019). Assessing the risk of default propagation in interconnected sectoral financial networks. EPJ Data Science, 8, pp. 422-442. DOI: https://doi.org/10.1140/epjds/s13688-019-0211-y.
- Unceta Mendieta, I., Nin, J. & Pujol, O. (2019). From batch to online learning using copies. In Sabater-Mir, J., Torra, V. & Aguilo, I., Gonzalez-Hidalgo, M. (Eds.), Artificial Intelligence Research and Development - Proceedings of the 22nd International Conference of the Catalan Association for Artificial Intelligence, CCIA 2019 (pp. 125-134). IOS Press. DOI: https://doi.org/10.3233/FAIA190115.
- Unceta Mendieta, I., Nin, J. & Pujol, O. (2019). Using Copies to Remove Sensitive Data. In Morales, A., Fierrez, J. & Sánchez, J. S., Ribeiro, B. (Eds.), Pattern Recognition and Image Analysis - 9th Iberian Conference, IbPRIA 2019, Proceedings (pp. 182-193). Springer. DOI: https://doi.org/10.1007/978-3-030-31332-6_16.
- Martínez, A., Nin, J., Tomás, E. & Rubio, A. (2019). Graph convolutional networks on customer/supplier graph data to improve default prediction. Springer Proceedings in Complexity (pp. 135-146). Springer. DOI: https://doi.org/10.1007/978-3-030-14459-3_11.
- Aranda, J., Nin, J. & Herranz, J. (2018). Answering Multiple Aggregate Queries under a Specific Privacy Condition. In Lung, C., Conte, T. & Liu, L., Akiyama, T., Hasan, K., Tovar, E., Takakura, H. (Eds.), Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018 (pp. 661-666). IEEE Computer Society. DOI: https://doi.org/10.1109/COMPSAC.2018.00099.
- Gómez, J. A., Arévalo, J., Paredes, R. & Nin, J. (2018). End-to-end neural network architecture for fraud scoring in card payments. Pattern Recognition Letters, 105, pp. 175-181. DOI: https://doi.org/10.1016/j.patrec.2017.08.024.
- Nuñez-Del-Prado, M. & Nin, J. (2018). On the Application of SDC Stream Methods to Card Payments Analytics. In Torra, V., Torra, V. & Narukawa, Y., González-Hidalgo, M., Aguilo, I. (Eds.), Modeling Decisions for Artificial Intelligence - 15th International Conference, MDAI 2018, Proceedings (pp. 306-318). Springer Verlag. DOI: https://doi.org/10.1007/978-3-030-00202-2_25.
- Martínez Rodríguez, D., Nin, J. & Nuñez-Del-Prado, M. (2017). Towards the adaptation of SDC methods to stream mining. Computers and Security, 70, pp. 702-722. DOI: https://doi.org/10.1016/j.cose.2017.08.011.
- Guttler, F., Ienco, D., Nin, J., Teisseire, M. & Poncelet, P. (2017). A graph-based approach to detect spatiotemporal dynamics in satellite image time series. ISPRS Journal of Photogrammetry and Remote Sensing, 130, pp. 92-107. DOI: https://doi.org/10.1016/j.isprsjprs.2017.05.013.
- Capdevila, J., Cerquides, J., Nin, J. & Torres, J. (2017). Tweet-SCAN: An event discovery technique for geo-located tweets. Pattern Recognition Letters, 93, pp. 58-68. DOI: https://doi.org/10.1016/j.patrec.2016.08.010.
- Herranz, J., Nin, J., Rodríguez, P. & Tassa, T. (2015). Revisiting distance-based record linkage for privacy-preserving release of statistical datasets. Data and Knowledge Engineering, 100, pp. 78-93. DOI: https://doi.org/10.1016/j.datak.2015.07.009.
- Sánchez-Charles, D., Muntés-Mulero, V., Solé, M. & Nin, J. (2015). CrowdWON. Proceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015 (pp. 1284-1290). AI Access Foundation.
- Matwin, S., Nin, J., Sehatkar, M. & Szapiro, T. (2015, January). A review of attribute disclosure control. Studies in Computational Intelligence, 567, pp. 41-61. DOI: https://doi.org/10.1007/978-3-319-09885-2_4.
- Capdevila, J., Cerquides, J., Nin, J. & Torres, J. (2015). Tweet-SCAN. In Boixader, D., Grimaldo, F. & Armengol, E. (Eds.), Artificial Intelligence Research and Development - Proceedings of the 18th International Conference of the Catalan Association for Artificial Intelligence (pp. 110-119). IOS Press. DOI: https://doi.org/10.3233/978-1-61499-578-4-110.
- Guttler, F., Alleaume, S., Corbane, C., Ienco, D., Nin, J., Poncelet, P. & Teisseire, M. (2014). Exploring high repetitivity remote sensing time series for mapping and monitoring natural habitats - A new approach combining OBIA and k-partite graphs. International Geoscience and Remote Sensing Symposium IGARSS (pp. 3930-3933). Institute of Electrical and Electronics Engineers Inc.. DOI: https://doi.org/10.1109/IGARSS.2014.6947344.
- Herranz, J. & Nin, J. (2014). Secure and efficient anonymization of distributed confidential databases. International Journal of Information Security, 13 (6), pp. 497-512. DOI: https://doi.org/10.1007/s10207-014-0237-x.
- Sánchez-Charles, D., Nin, J., Solé, M. & Muntés-Mulero, V. (2014). Worker ranking determination in crowdsourcing platforms using aggregation functions. Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE (pp. 1801-1808). Institute of Electrical and Electronics Engineers Inc.. DOI: https://doi.org/10.1109/FUZZ-IEEE.2014.6891807.
- Balasch Masoliver, J., Muntés-Mulero, V. & Nin, J. (2014). Using genetic algorithms for attribute grouping in multivariate microaggregation. Intelligent Data Analysis, 18, pp. 819-836. DOI: https://doi.org/10.3233/IDA-140670.
- Nin, J., Tous, R. & Delgado, J. (2014). Variable linkage for multimedia metadata schema matching. Multimedia Tools and Applications, 68 (3), pp. 845-861. DOI: https://doi.org/10.1007/s11042-012-1094-0.
- Nin, J. & Villatoro, D. (2014). Citizen in sensor networks. In Nin, J., Villatoro, D. (Ed.), Citizen in Sensor Networks - 2nd International Workshop, CitiSens 2013, Revised Selected Papers . Springer Verlag. DOI: https://doi.org/10.1007/978-3-319-04178-0.
- Nin, J. & Villatoro, D. (2014). Preface. Lecture Notes in Computer Science including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 8313.
- Cea, D., Nin, J., Tous, R., Torres, J. & Ayguadé, E. (2014). Towards the cloudification of the social networks analytics. In Torra, V., Narukawa, Y. & Endo, Y. (Eds.), Modeling Decisions forArtificial Intelligence - 11th International Conference, MDAI 2014, Proceedings (pp. 192-203). Springer Verlag. DOI: https://doi.org/10.1007/978-3-319-12054-6_17.
- Nin, J. (2014). Beyond multivariate microaggregation for large record anonymization. In Nin, J., Villatoro, D. (Ed.), Citizen in Sensor Networks - 2nd International Workshop, CitiSens 2013, Revised Selected Papers (pp. 87-107). Springer Verlag. DOI: https://doi.org/10.1007/978-3-319-04178-0_8.
- Guttler, F., Ienco, D., Teisseire, M., Nin, J. & Poncelet, P. (2014). Towards the Use of Sequential Patterns for Detection and Characterization of Natural and Agricultural Areas. Information Processing and Management of Uncertainty in Knowledge-Based Systems - 15th International Conference, IPMU 2014, Proceedings (PART 1 ed., pp. 97-106). Springer Verlag. DOI: https://doi.org/10.1007/978-3-319-08795-5_11.
- Nin, J., Carrera, D. & Villatoro, D. (2014). On the use of social trajectory-based clustering methods for public transport optimization. In Nin, J., Villatoro, D. (Ed.), Citizen in Sensor Networks - 2nd International Workshop, CitiSens 2013, Revised Selected Papers (pp. 59-70). Springer Verlag. DOI: https://doi.org/10.1007/978-3-319-04178-0_6.
- Villatoro, D. & Nin, J. (2013). Citizens sensor networks. Citizen in Sensor Networks - First International Workshop, CitiSens 2012, Revised Selected Papers (pp. 1-5). DOI: https://doi.org/10.1007/978-3-642-36074-9_1.
- Nin, J. & Ricciardi, S. (2013). Digital watermarking techniques and security issues in the information and communication society. Proceedings - 27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013 (pp. 1553-1558). DOI: https://doi.org/10.1109/WAINA.2013.171.
- Nin, J. & Villatoro, D. (2013). Foreword from the citi sens 2012 program chairs. Lecture Notes in Computer Science including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 7685 LNAI.
- Rebollo-Monedero, D., Solé, M., Nin, J. & Forné, J. (2013). A modification of the k-means method for quasi-unsupervised learning. Knowledge-Based Systems, 37, pp. 176-185. DOI: https://doi.org/10.1016/j.knosys.2012.07.024.
- Herranz, J., Nin, J. & Solé, M. (2012). Kd-trees and the real disclosure risks of large statistical databases. Information Fusion, 13 (4), pp. 260-273. DOI: https://doi.org/10.1016/j.inffus.2011.03.001.
- Solé, M., Muntés-Mulero, V. & Nin, J. (2012). Efficient microaggregation techniques for large numerical data volumes. International Journal of Information Security, 11 (4), pp. 253-267. DOI: https://doi.org/10.1007/s10207-012-0158-5.
- Herranz, J., Nin, J. & Solé, M. (2012). More hybrid and secure protection of statistical data sets. IEEE Transactions on Dependable and Secure Computing, 9 (5), pp. 727-740. DOI: https://doi.org/10.1109/TDSC.2012.40.
- Peterson, B., Ricciardi, S. & Nin, J. (2012). Energy-efficiency and security issues in the Cisco Nexus virtual distributed switching. Proceedings - 6th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2012 (pp. 552-557). DOI: https://doi.org/10.1109/IMIS.2012.60.
- Herranz, J., Nin, J. & Solé, M. (2011). Optimal symbol alignment distance: A new distance for sequences of symbols. IEEE Transactions on Knowledge and Data Engineering, 23 (10), pp. 1541-1554. DOI: https://doi.org/10.1109/TKDE.2010.190.
- Tous, R., Nin, J., Delgado, J. & Toran-Monserrat, P. (2011). Approaches and standards for metadata interoperability in distributed image search and retrieval. Database and Expert Systems Applications - 22nd International Conference, DEXA 2011, Proceedings (PART 2 ed., pp. 234-248). DOI: https://doi.org/10.1007/978-3-642-23091-2_21.
- Nin, J., Laurent, A. & Poncelet, P. (2010). Speed up gradual rule mining from stream data! A B-Tree and OWA-based approach. Journal of Intelligent Information Systems, 35 (3), pp. 447-463. DOI: https://doi.org/10.1007/s10844-009-0112-9.
- Herranz, J., Matwin, S., Nin, J. & Torra, V. (2010). Classifying data from protected statistical datasets. Computers and Security, 29 (8), pp. 875-890. DOI: https://doi.org/10.1016/j.cose.2010.05.005.
- Nin, J. & Torra, V. (2010). Possibilistic reasoning for trust-based access control enforcement in social networks. 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 (5584646). DOI: https://doi.org/10.1109/FUZZY.2010.5584646.
- Herranz, J. & Nin, J. (2010). Introduction to privacy and anonymity in information management systems. Advanced Information and Knowledge Processing (pp. 3-6). Springer-Verlag London Ltd. DOI: https://doi.org/10.1007/978-1-84996-238-4_1.
- Nin, J., Herranz, J. & Torra, V. (2010). Using classification methods to evaluate attribute disclosure risk. Modeling Decisions for Artificial Intelligence - 7th International Conference, MDAI 2010, Proceedings (pp. 277-286). DOI: https://doi.org/10.1007/978-3-642-16292-3_27.
- Herranz, J., Nin, J. & Torra, V. (2010). Distributed privacy-preserving methods for statistical disclosure control. Data Privacy Management and Autonomous Spontaneous Security - 4th International Workshop, DPM 2009, and Second International Workshop, SETOP 2009, Revised Selected Papers (pp. 33-47). DOI: https://doi.org/10.1007/978-3-642-11207-2_4.
- Nin, J. & Torra, V. (2009). Towards the evaluation of time series protection methods. Information Sciences, 179 (11), pp. 1663-1677. DOI: https://doi.org/10.1016/j.ins.2009.01.024.
- Nin, J. & Torra, V. (2009). Analysis of the univariate microaggregation disclosure risk. New Generation Computing, 27 (3), pp. 197-214. DOI: https://doi.org/10.1007/s00354-007-0061-1.
- Herranz, J. & Nin, J. (2009). Partial symbol ordering distance. Modeling Decisions for Artificial Intelligence - 6th International Conference, MDAI 2009, Proceedings (pp. 293-302). DOI: https://doi.org/10.1007/978-3-642-04820-3_27.
- Valls, A., Nin, J. & Torra, V. (2009). On the use of aggregation operators for location privacy. 2009 International Fuzzy Systems Association World Congress and 2009 European Society for Fuzzy Logic and Technology Conference, IFSA-EUSFLAT 2009 - Proceedings (pp. 489-494).
- Nin, J., Salle, P., Bringay, S. & Teisseire, M. (2009). Using OWA operators for gene sequential pattern clustering. 2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009 (5255363). DOI: https://doi.org/10.1109/CBMS.2009.5255363.
- Herranz, J., Matwin, S., Meseguer, P. & Nin, J. (2009). A cryptographic solution for private distributed simple meeting scheduling. Frontiers in Artificial Intelligence and Applications (1st ed., pp. 275-283). IOS Press. DOI: https://doi.org/10.3233/978-1-60750-061-2-275.
- Muntés-Mulero, V. & Nin, J. (2009). Privacy and anonymization for very large datasets. ACM 18th International Conference on Information and Knowledge Management, CIKM 2009 (pp. 2117-2118). DOI: https://doi.org/10.1145/1645953.1646333.
- Nin, J., Carminati, B., Ferrari, E. & Torra, V. (2009). Computing reputation for collaborative private networks. Proceedings - 2009 33rd Annual IEEE International Computer Software and Applications Conference, COMPSAC 2009 (pp. 246-253). DOI: https://doi.org/10.1109/COMPSAC.2009.40.
- Muntés-Mulero, V. & Nin, J. (2009). International Conference on Information and Knowledge Management, Proceedings: Foreword. International Conference on Information and Knowledge Management, Proceedings, pp. iii.
- Nin, J., Herranz, J. & Torra, V. (2008). On the disclosure risk of multivariate microaggregation. Data and Knowledge Engineering, 67 (3), pp. 399-412. DOI: https://doi.org/10.1016/j.datak.2008.06.014.
- Torra, V. & Nin, J. (2008). Record linkage for database integration using fuzzy integrals. International Journal of Intelligent Systems, 23 (6), pp. 715-734. DOI: https://doi.org/10.1002/int.20293.
- Nin, J., Herranz, J. & Torra, V. (2008). How to group attributes in multivariate microaggregation. International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, 16 (SUPPL. 1), pp. 121-138. DOI: https://doi.org/10.1142/S0218488508005285.
- Guisado-Gámez, J., Prat-Pérez, A., Nin, J., Muntés-Mulero, V. & Larriba-Pey, J. L. (2008). Parallelizing record linkage for disclosure risk assessment. Privacy in Statistical Databases - UNESCO Chair in Data Privacy International Conference, PSD 2008, Proceedings (pp. 190-202). Springer Verlag. DOI: https://doi.org/10.1007/978-3-540-87471-3_16.
- Pont-Tuset, J., Nin, J., Medrano-Gracia, P., Larriba-Pey, J. L. & Muntés-Mulero, V. (2008). Improving microaggregation for complex record anonymization. Modeling Decisions for Artificial Intelligence - 5th International Conference, MDAI 2008, Proceedings (pp. 215-226). Springer Verlag. DOI: https://doi.org/10.1007/978-3-540-88269-5_20.
- Nin, J., Herranz, J. & Torra, V. (2008). Rethinking rank swapping to decrease disclosure risk. Data and Knowledge Engineering, 64 (1), pp. 346-364. DOI: https://doi.org/10.1016/j.datak.2007.07.006.
- Nin, J., Herranz, J. & Torra, V. (2008). Towards a more realistic disclosure risk assessment. Privacy in Statistical Databases - UNESCO Chair in Data Privacy International Conference, PSD 2008, Proceedings (pp. 152-165). Springer Verlag. DOI: https://doi.org/10.1007/978-3-540-87471-3_13.
- Nin, J., Herranz, J. & Torra, V. (2008). Attribute selection in multivariate microaggregation. PAIS'08 - Post-proceedings of the 2008 International Workshop on Privacy and Anonymity in Information Society, Co-located with EDBT 2008 (pp. 51-60). DOI: https://doi.org/10.1145/1379287.1379299.
- Pont-Tuset, J., Medrano-Gracia, P., Nin, J., Larriba-Pey, J. L. & Muntés-Mulero, V. (2008). ONN the use of neural networks for data privacy. SOFSEM 2008 (pp. 634-645). Springer Verlag. DOI: https://doi.org/10.1007/978-3-540-77566-9_55.
- Nin, J., Muntés-Mulero, V., MartíNez-Bazan, N. & Larriba-Pey, J. L. (2007). Semantic blocking for Record Linkage. Artificial Intelligence Research and Development (pp. 141-149).
- MartíNez-Bazan, N., Nin, J., Muntés-Mulero, V., Sánchez-Martínez, M. A., Gómez-Villamor, S. & Larriba-Pey, J. L. (2007). DEX. CIKM 2007 - Proceedings of the 16th ACM Conference on Information and Knowledge Management (pp. 573-582). DOI: https://doi.org/10.1145/1321440.1321521.
- Nin, J., Pont-Tuset, J., Medrano-Gracia, P., Larriba-Pey, J. L. & Muntés-Mulero, V. (2007). Increasing polynomial regression complexity for data anonymization. Proceedings The 2007 International Conference on Intelligent Pervasive Computing, IPC 2007 (pp. 29-34). DOI: https://doi.org/10.1109/IPC.2007.103.
- Medrano-Gracia, P., Pont-Tuset, J., Nin, J. & Muntés-Mulero, V. (2007). Ordered data set vectorization for linear regression on data privacy. Modeling Decisions for Artificial Intelligence - 4th International Conference, MDAI 2007, Proceedings (pp. 361-372). Springer Verlag. DOI: https://doi.org/10.1007/978-3-540-73729-2_34.
- Nin, J., Muntés-Mulero, V., MartíNez-Bazan, N. & Larriba-Pey, J. L. (2007). On the use of semantic blocking techniques for data cleansing and integration. 11th International Database Engineering and Applications Symposium Proceedings, IDEAS (pp. 190-198). DOI: https://doi.org/10.1109/IDEAS.2007.4318104.
- Nin, J. & Torra, V. (2006). Distance based re-identification for time series, analysis of distances. In Domingo-Ferrer, J., Franconi, L. (Ed.), Privacy in Statistical Databases - CENEX-SDC Project International Conference, PSD 2006, Proceedings (pp. 205-216). Springer Verlag. DOI: https://doi.org/10.1007/11930242_18.
- Nin, J. & Torra, V. (2006). New approach to the re-identification problem using neural networks. Modeling Decisions for Artificial Intelligence - Third International Conference, MDAI 2006, Proceedings (pp. 251-261). DOI: https://doi.org/10.1007/11681960_25.
- Nin, J. & Torra, V. (2006). Extending microaggregation procedures for time series protection. Rough Sets and Current Trends in Computing - 5th International Conference, RSCTC 2006, Proceedings (pp. 899-908). Springer Verlag. DOI: https://doi.org/10.1007/11908029_93.
- Nin, J. & Torra, V. (2005). Towards the use of OWA operators for record linkage. Proceedings - 4th Conference of the European Society for Fuzzy Logic and Technology and 11th French Days on Fuzzy Logic and Applications, EUSFLAT-LFA 2005 Joint Conference (pp. 34-39).
- Nin, J. & Torra, V. (2005). Empirical analysis of database privacy using twofold integrals. Computational Intelligence and Security - International Conference, CIS 2005, Proceedings (pp. 1-8). DOI: https://doi.org/10.1007/11596448_1.
- Herranz, J., Nin, J. & Solé, M. (1991). Optimal Symbol Alignment Distance: A New Distance for Sequences of Symbols. IEEE Transactions on Communications, 39 (12), pp. 1762-1775. DOI: https://doi.org/10.1109/26.120163.
Datos de contacto
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Fax: +34 932 048 105
Ext. 2513
Fax: +34 932 048 105