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ORCIDJordi Nin
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2020 – today
- 2024
[j28]Irene Unceta
, Bernat Salbanya, Jordi Coll, Mateu Villaret, Jordi Nin:
Optimizing resource allocation in home care services using MaxSAT. Cogn. Syst. Res. 88: 101291 (2024)- 2023
- [j27]Miguel Núñez-del-Prado, Jordi Nin:
Revisiting online anonymization algorithms to ensure location privacy. J. Ambient Intell. Humaniz. Comput. 14(11): 15097-15108 (2023) - [j26]Jordi Nin, Elena Tomás:
Default propagation in customer-supplier networks: An agent-based model approach to the isolation of companies in default. J. Ambient Intell. Humaniz. Comput. 14(11): 15127-15138 (2023) - [j25]Nahuel Statuto, Irene Unceta, Jordi Nin, Oriol Pujol:
A Scalable and Efficient Iterative Method for Copying Machine Learning Classifiers. J. Mach. Learn. Res. 24: 390:1-390:34 (2023) - [c45]Bernat Salbanya, Irene Unceta, Jordi Nin:
Resource Allocation in Home Care Services Using Reinforcement Learning. CCIA 2023: 173-182 - [e5]Ismael Sanz, Raquel Ros, Jordi Nin:
Artificial Intelligence Research and Development - Proceedings of the 25th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2023, Món Sant Benet, Spain, 25-27 October 2023. Frontiers in Artificial Intelligence and Applications 375, IOS Press 2023, ISBN 978-1-64368-448-2 [contents] - [i6]Nahuel Statuto, Irene Unceta, Jordi Nin, Oriol Pujol:
A Scalable and Efficient Iterative Method for Copying Machine Learning Classifiers. CoRR abs/2302.02667 (2023) - 2021
- [j24]Irene Unceta, Jordi Nin, Oriol Pujol:
Differential Replication for Credit Scoring in Regulated Environments. Entropy 23(4): 407 (2021) - [c44]Irene Unceta, Bernat Salbanya, Jordi Nin:
On the Convergence of Financial Distress Propagation on Generic Networks. CCIA 2021: 167-176 - [c43]Carlos Mougan, David Masip, Jordi Nin, Oriol Pujol:
Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems. MDAI 2021: 168-180 - [i5]Carlos Mougan, David Masip, Jordi Nin, Oriol Pujol:
Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems. CoRR abs/2105.13783 (2021) - 2020
- [j23]Irene Unceta, Jordi Nin, Oriol Pujol:
Copying Machine Learning Classifiers. IEEE Access 8: 160268-160284 (2020) - [j22]Irene Unceta, Jordi Nin, Oriol Pujol:
Environmental Adaptation and Differential Replication in Machine Learning. Entropy 22(10): 1122 (2020) - [c42]Irene Unceta, Diego Palacios, Jordi Nin, Oriol Pujol:
Sampling Unknown Decision Functions to Build Classifier Copies. MDAI 2020: 192-204 - [e4]Vicenç Torra, Yasuo Narukawa, Jordi Nin, Núria Agell:
Modeling Decisions for Artificial Intelligence - 17th International Conference, MDAI 2020, Sant Cugat, Spain, September 2-4, 2020, Proceedings. Lecture Notes in Computer Science 12256, Springer 2020, ISBN 978-3-030-57523-6 [contents] - [i4]Irene Unceta, Jordi Nin, Oriol Pujol:
Differential Replication in Machine Learning. CoRR abs/2007.07981 (2020)
2010 – 2019
- 2019
- [j21]Adrià Barja, Alejandro Martínez, Alex Arenas, Pablo Fleurquin, Jordi Nin, José J. Ramasco, Elena Tomás:
Assessing the risk of default propagation in interconnected sectoral financial networks. EPJ Data Sci. 8(1): 32:1-32:20 (2019) - [c41]Irene Unceta, Jordi Nin, Oriol Pujol:
From Batch to Online Learning Using Copies. CCIA 2019: 125-134 - [c40]Irene Unceta, Jordi Nin, Oriol Pujol:
Using Copies to Remove Sensitive Data: A Case Study on Fair Superhero Alignment Prediction. IbPRIA (1) 2019: 182-193 - [i3]Irene Unceta, Jordi Nin, Oriol Pujol:
Copying Machine Learning Classifiers. CoRR abs/1903.01879 (2019) - [i2]Irene Unceta, Diego Palacios, Jordi Nin, Oriol Pujol:
Sampling Unknown Decision Functions to Build Classifier Copies. CoRR abs/1910.00237 (2019) - 2018
- [j20]Jon Ander Gómez, Juan Arévalo, Roberto Paredes, Jordi Nin:
End-to-end neural network architecture for fraud scoring in card payments. Pattern Recognit. Lett. 105: 175-181 (2018) - [c39]Jordi Aranda, Jordi Nin Guerrero, Javier Herranz:
Answering Multiple Aggregate Queries Under a Specific Privacy Condition. COMPSAC (1) 2018: 661-666 - [c38]Miguel Núñez del Prado Cortez, Jordi Nin:
On the Application of SDC Stream Methods to Card Payments Analytics. MDAI 2018: 306-318 - [i1]Irene Unceta, Jordi Nin, Oriol Pujol:
Towards Global Explanations for Credit Risk Scoring. CoRR abs/1811.07698 (2018) - 2017
- [j19]David Martínez Rodríguez, Jordi Nin, Miguel Núñez-del-Prado:
Towards the adaptation of SDC methods to stream mining. Comput. Secur. 70: 702-722 (2017) - [j18]Joan Capdevila, Jesús Cerquides, Jordi Nin, Jordi Torres:
Tweet-SCAN: An event discovery technique for geo-located tweets. Pattern Recognit. Lett. 93: 58-68 (2017) - 2016
- [c37]Jordi Nin:
Lessons Learned About Deep Learning for Credit Card Fraud Scoring. CCIA 2016: 5 - 2015
- [j17]Javier Herranz, Jordi Nin, Pablo Rodríguez, Tamir Tassa:
Revisiting distance-based record linkage for privacy-preserving release of statistical datasets. Data Knowl. Eng. 100: 78-93 (2015) - [c36]David Sanchez-Charles, Victor Muntés-Mulero, Marc Solé, Jordi Nin:
CrowdWON: A Modelling Language for Crowd Processes based on Workflow Nets. AAAI 2015: 1284-1290 - [c35]Joan Capdevila, Jesús Cerquides, Jordi Nin, Jordi Torres:
Tweet-SCAN: An event discovery technique for geo-located tweets. CCIA 2015: 110-119 - [p1]Stan Matwin, Jordi Nin, Morvarid Sehatkar, Tomasz Szapiro:
A Review of Attribute Disclosure Control. Advanced Research in Data Privacy 2015: 41-61 - 2014
- [j16]Jordi Balasch-Masoliver, Victor Muntés-Mulero, Jordi Nin:
Using genetic algorithms for attribute grouping in multivariate microaggregation. Intell. Data Anal. 18(5): 819-836 (2014) - [j15]Javier Herranz, Jordi Nin:
Secure and efficient anonymization of distributed confidential databases. Int. J. Inf. Sec. 13(6): 497-512 (2014) - [j14]Jordi Nin, Rubén Tous, Jaime Delgado:
Variable linkage for multimedia metadata schema matching. Multim. Tools Appl. 68(3): 845-861 (2014) - [c34]David Sanchez-Charles, Jordi Nin, Marc Solé, Victor Muntés-Mulero:
Worker ranking determination in crowdsourcing platforms using aggregation functions. FUZZ-IEEE 2014: 1801-1808 - [c33]Fabio Guttler, Samuel Alleaume, Christina Corbane, Dino Ienco, Jordi Nin, Pascal Poncelet, Maguelonne Teisseire:
Exploring high repetitivity remote sensing time series for mapping and monitoring natural habitats - A new approach combining OBIA and k-partite graphs. IGARSS 2014: 3930-3933 - [c32]Fabio Guttler, Dino Ienco, Maguelonne Teisseire, Jordi Nin, Pascal Poncelet:
Towards the Use of Sequential Patterns for Detection and Characterization of Natural and Agricultural Areas. IPMU (1) 2014: 97-106 - [c31]Daniel Cea, Jordi Nin, Rubén Tous, Jordi Torres, Eduard Ayguadé:
Towards the Cloudification of the Social Networks Analytics. MDAI 2014: 192-203 - [e3]Jordi Nin, Daniel Villatoro:
Citizen in Sensor Networks - Second International Workshop, CitiSens 2013, Barcelona, Spain, September 19, 2013, Revised Selected Papers. Lecture Notes in Computer Science 8313, Springer 2014, ISBN 978-3-319-04177-3 [contents] - 2013
- [j13]David Rebollo-Monedero, Marc Solé, Jordi Nin, Jordi Forné:
A modification of the k-means method for quasi-unsupervised learning. Knowl. Based Syst. 37: 176-185 (2013) - [c30]Jordi Nin, Sergio Ricciardi:
Digital Watermarking Techniques and Security Issues in the Information and Communication Society. AINA Workshops 2013: 1553-1558 - [c29]Jordi Nin, David Carrera, Daniel Villatoro:
On the Use of Social Trajectory-Based Clustering Methods for Public Transport Optimization. CitiSens 2013: 59-70 - [c28]Jordi Nin:
Beyond Multivariate Microaggregation for Large Record Anonymization. CitiSens 2013: 87-107 - [e2]Jordi Nin, Daniel Villatoro:
Citizen in Sensor Networks - First International Workshop, CitiSens 2012, Montpellier, France, August 27, 2012, Revised Selected Papers. Lecture Notes in Computer Science 7685, Springer 2013, ISBN 978-3-642-36073-2 [contents] - 2012
- [j12]Marc Solé, Victor Muntés-Mulero, Jordi Nin:
Efficient microaggregation techniques for large numerical data volumes. Int. J. Inf. Sec. 11(4): 253-267 (2012) - [j11]Javier Herranz, Jordi Nin, Marc Solé:
Kd-trees and the real disclosure risks of large statistical databases. Inf. Fusion 13(4): 260-273 (2012) - [j10]Javier Herranz, Jordi Nin, Marc Solé:
More Hybrid and Secure Protection of Statistical Data Sets. IEEE Trans. Dependable Secur. Comput. 9(5): 727-740 (2012) - [c27]Daniel Villatoro, Jordi Nin:
Citizens Sensor Networks. CitiSens 2012: 1-5 - [c26]Benjamin Peterson, Sergio Ricciardi, Jordi Nin:
Energy-Efficiency and Security Issues in the Cisco Nexus Virtual Distributed Switching. IMIS 2012: 552-557 - 2011
- [j9]Javier Herranz, Jordi Nin, Marc Solé:
Optimal Symbol Alignment Distance: A New Distance for Sequences of Symbols. IEEE Trans. Knowl. Data Eng. 23(10): 1541-1554 (2011) - [c25]Rubén Tous, Jordi Nin, Jaime Delgado, Pere Toran:
Approaches and Standards for Metadata Interoperability in Distributed Image Search and Retrieval. DEXA (2) 2011: 234-248 - 2010
- [j8]Javier Herranz, Stan Matwin, Jordi Nin, Vicenç Torra:
Classifying data from protected statistical datasets. Comput. Secur. 29(8): 875-890 (2010) - [j7]Jordi Nin, Anne Laurent, Pascal Poncelet:
Speed up gradual rule mining from stream data! A B-Tree and OWA-based approach. J. Intell. Inf. Syst. 35(3): 447-463 (2010) - [c24]Jordi Nin, Vicenç Torra:
Possibilistic reasoning for trust-based access control enforcement in social networks. FUZZ-IEEE 2010: 1-6 - [c23]Jordi Nin, Javier Herranz, Vicenç Torra:
Using Classification Methods to Evaluate Attribute Disclosure Risk. MDAI 2010: 277-286
2000 – 2009
- 2009
- [j6]Jordi Nin, Vicenç Torra:
Towards the evaluation of time series protection methods. Inf. Sci. 179(11): 1663-1677 (2009) - [j5]Jordi Nin, Vicenç Torra:
Analysis of the Univariate Microaggregation Disclosure Risk. New Gener. Comput. 27(3): 197-214 (2009) - [c22]Jordi Nin, Paola Salle, Sandra Bringay, Maguelonne Teisseire:
Using OWA operators for gene sequential pattern clustering. CBMS 2009: 1-4 - [c21]Javier Herranz, Stan Matwin, Pedro Meseguer, Jordi Nin:
A Cryptographic Solution for Private Distributed Simple Meeting Scheduling. CCIA 2009: 275-283 - [c20]Victor Muntés-Mulero, Jordi Nin:
Privacy and anonymization for very large datasets. CIKM 2009: 2117-2118 - [c19]Jordi Nin, Barbara Carminati, Elena Ferrari, Vicenç Torra:
Computing Reputation for Collaborative Private Networks. COMPSAC (1) 2009: 246-253 - [c18]Javier Herranz, Jordi Nin, Vicenç Torra:
Distributed Privacy-Preserving Methods for Statistical Disclosure Control. DPM/SETOP 2009: 33-47 - [c17]Aïda Valls, Jordi Nin, Vicenç Torra:
On the Use of Aggregation Operators for Location Privacy. IFSA/EUSFLAT Conf. 2009: 489-494 - [c16]Javier Herranz, Jordi Nin:
Partial Symbol Ordering Distance. MDAI 2009: 293-302 - [e1]Victor Muntés-Mulero, Jordi Nin:
Proceeding of the ACM First International Workshop on Privacy and Anonymity for Very Large Databases, CIKM-PAVLAD 2009, Hong Kong, China, November 6, 2009. ACM 2009 [contents] - 2008
- [j4]Jordi Nin, Javier Herranz, Vicenç Torra:
Rethinking rank swapping to decrease disclosure risk. Data Knowl. Eng. 64(1): 346-364 (2008) - [j3]Jordi Nin, Javier Herranz, Vicenç Torra:
On the disclosure risk of multivariate microaggregation. Data Knowl. Eng. 67(3): 399-412 (2008) - [j2]Vicenç Torra, Jordi Nin:
Record linkage for database integration using fuzzy integrals. Int. J. Intell. Syst. 23(6): 715-734 (2008) - [j1]Jordi Nin, Javier Herranz, Vicenç Torra:
How to Group Attributes in Multivariate Microaggregation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 16(Supplement-1): 121-138 (2008) - [c15]Jordi Nin, Javier Herranz, Vicenç Torra:
Attribute selection in multivariate microaggregation. PAIS 2008: 51-60 - [c14]Jordi Pont-Tuset, Jordi Nin, Pau Medrano-Gracia, Josep Lluís Larriba-Pey, Victor Muntés-Mulero:
Improving Microaggregation for Complex Record Anonymization. MDAI 2008: 215-226 - [c13]Jordi Nin, Javier Herranz, Vicenç Torra:
Towards a More Realistic Disclosure Risk Assessment. Privacy in Statistical Databases 2008: 152-165 - [c12]Joan Guisado-Gámez, Arnau Prat-Pérez, Jordi Nin, Victor Muntés-Mulero, Josep Lluís Larriba-Pey:
Parallelizing Record Linkage for Disclosure Risk Assessment. Privacy in Statistical Databases 2008: 190-202 - [c11]Jordi Pont-Tuset, Pau Medrano-Gracia, Jordi Nin, Josep Lluís Larriba-Pey, Victor Muntés-Mulero:
ONN the Use of Neural Networks for Data Privacy. SOFSEM 2008: 634-645 - 2007
- [c10]Jordi Nin, Victor Muntés-Mulero, Norbert Martínez-Bazan, Josep Lluís Larriba-Pey:
Semantic blocking for Record Linkage. CCIA 2007: 141-149 - [c9]Norbert Martínez-Bazan, Victor Muntés-Mulero, Sergio Gómez-Villamor, Jordi Nin, Mario-A. Sánchez-Martínez, Josep Lluís Larriba-Pey:
Dex: high-performance exploration on large graphs for information retrieval. CIKM 2007: 573-582 - [c8]Jordi Nin, Victor Muntés-Mulero, Norbert Martínez-Bazan, Josep Lluís Larriba-Pey:
On the Use of Semantic Blocking Techniques for Data Cleansing and Integration. IDEAS 2007: 190-198 - [c7]Jordi Nin, Jordi Pont-Tuset, Pau Medrano-Gracia, Josep Lluís Larriba-Pey, Victor Muntés-Mulero:
Increasing Polynomial Regression Complexity for Data Anonymization. IPC 2007: 29-34 - [c6]Pau Medrano-Gracia, Jordi Pont-Tuset, Jordi Nin, Victor Muntés-Mulero:
Ordered Data Set Vectorization for Linear Regression on Data Privacy. MDAI 2007: 361-372 - 2006
- [c5]Jordi Nin, Vicenç Torra:
New Approach to the Re-identification Problem Using Neural Networks. MDAI 2006: 251-261 - [c4]Jordi Nin, Vicenç Torra:
Distance Based Re-identification for Time Series, Analysis of Distances. Privacy in Statistical Databases 2006: 205-216 - [c3]Jordi Nin, Vicenç Torra:
Extending Microaggregation Procedures for Time Series Protection. RSCTC 2006: 899-908 - 2005
- [c2]Jordi Nin, Vicenç Torra:
Empirical Analysis of Database Privacy Using Twofold Integrals. CIS (1) 2005: 1-8 - [c1]Jordi Nin, Vicenç Torra:
Towards the use of OWA operators for record linkage. EUSFLAT Conf. 2005: 34-39
Coauthor Index
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last updated on 2024-11-13 23:53 CET by the dblp team
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