Jorge Castro - researchr alias

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Viewing Publication 1 - 46 from 46

2024

Using recurrent neural networks to identify broken-cold-chain fish fillet from spectral profilesWilson Castro, Monica Saavedra, Jorge Castro, Adriano Rogério Bruno Tech, Tony Chuquizuta, Himer Avila-George. nca, 36(8):4377-4386, 2024. [doi]

2023

Parametric analysis of railway infrastructure for improved performance and lower life-cycle costs using machine learning techniquesJose A. Sainz-Aja, Diego Ferreño, Joao Pombo, Isidro A. Carrascal, Jose A. Casado, Soraya Diego, Jorge Castro. aes, 175:103357, 2023. [doi]

2020

Novel Models in Recommender Systems and Group Recommender Systems for Improving RecommendationsJorge Castro. PhD thesis, University of Technology Sydney, Australia, 2020. [doi]

Refining Indeterministic Choice: Imprecise Probabilities and Strategic ThinkingJorge Castro, Joaquim Gabarró, Maria J. Serna. vjcs, 7(4):453-470, 2020. [doi]

Deep Multiple Instance Learning Ensemble for the Acoustic Detection of Tropical BirdsJorge Castro, Roberto Vargas-Masís, Danny Alfaro Rojas. icmla 2020: 264-269 [doi]

Natural Noise Management in Recommender Systems Using Fuzzy ToolsRaciel Yera, Jorge Castro, Luis Martínez. In Giovanni Acampora, Witold Pedrycz, Athanasios V. Vasilakos, Autilia Vitiello, editors, Computational Intelligence for Semantic Knowledge Management - New Perspectives for Designing and Organizing Information Systems. Volume 837 of Studies in Computational Intelligence, pages 1-24, Springer, 2020. [doi]

2019

2018

DNLM-MA-P: A Parallelization of the Deceived Non Local Means Filter with Moving Average and Symmetric WeightingSaul Calderon, Jorge Castro, Manuel Zurnbado. iwobi 2018: 1-7 [doi]

Group Recommendations Based on Hesitant Fuzzy SetsJorge Castro, Manuel J. Barranco, Rosa M. Rodríguez, Luis Martínez-López. ijis, 33(10):2058-2077, 2018. [doi]

A fuzzy approach for natural noise management in group recommender systemsJorge Castro, Raciel Yera Toledo, Luis Martínez. eswa, 94:237-249, 2018. [doi]

Parallelization of a Denoising Algorithm for Tonal Bioacoustic Signals Using OpenACC DirectivesJorge Castro, Esteban Meneses. iwobi 2018: 1-8 [doi]

Web Apps and Imprecise ProbabilititesJorge Castro, Joaquim Gabarró, Maria J. Serna. ipmu 2018: 226-238 [doi]

Opinion Dynamics-Based Group Recommender SystemsJorge Castro, Jie Lu 0001, Guangquan Zhang 0001, Yucheng Dong, Luis Martínez-López. tsmc, 48(12):2394-2406, 2018. [doi]

2017

An empirical study of natural noise management in group recommendation systemsJorge Castro, Raciel Yera Toledo, Luis Martínez. dss, 94:1-11, 2017. [doi]

Dealing with diversity and novelty in group recommendations using Hesitant fuzzy setsJorge Castro, Manuel J. Barranco, Rosa M. Rodríguez, Luis Martínez-López. fuzzIEEE 2017: 1-6 [doi]

2016

Managing Natural Noise in Recommender SystemsLuis Martínez, Jorge Castro, Raciel Yera Toledo. tpnc 2016: 3-17 [doi]

A fuzzy model for managing natural noise in recommender systemsRaciel Yera Toledo, Jorge Castro, Luis Martínez-López. asc, 40:187-198, 2016. [doi]

2015

A Consensus-Driven Group Recommender SystemJorge Castro, Francisco J. Quesada, Iván Palomares, Luis Martínez. ijis, 30(8):887-906, 2015. [doi]

The Robustness of Periodic Orchestrations in Uncertain Evolving EnvironmentsJorge Castro, Joaquim Gabarró, Maria J. Serna, Alan Stewart. ecsqaru 2015: 129-140 [doi]

2014

Adaptively learning probabilistic deterministic automata from data streamsBorja Balle, Jorge Castro, Ricard Gavaldà. ml, 96(1-2):99-127, 2014. [doi]

Weighting of Features in Content-Based Filtering with Entropy and Dependence MeasuresJorge Castro, Rosa M. Rodriguez, Manuel J. Barranco. ijcisys, 7(1):80-89, 2014. [doi]

2013

Learning probabilistic automata: A study in state distinguishabilityBorja Balle, Jorge Castro, Ricard Gavaldà. TCS, 473:46-60, 2013. [doi]

2012

Bootstrapping and Learning PDFA in Data StreamsBorja Balle, Jorge Castro, Ricard Gavaldà. jmlr, 21:34-48, 2012. [doi]

A Context-Aware Mobile Recommender System Based on Location and TrajectoryManuel J. Barranco, José M. Noguera, Jorge Castro, Luis Martínez. is-mis 2012: 153-162 [doi]

2010

A Lower Bound for Learning Distributions Generated by Probabilistic AutomataBorja Balle, Jorge Castro, Ricard Gavaldà. alt 2010: 179-193 [doi]

Learning PDFA with Asynchronous TransitionsBorja Balle, Jorge Castro, Ricard Gavaldà. icgi 2010: 271-275 [doi]

2008

Towards Feasible PAC-Learning of Probabilistic Deterministic Finite AutomataJorge Castro, Ricard Gavaldà. icgi 2008: 163-174 [doi]

2007

A general dimension for query learningJosé L. Balcázar, Jorge Castro, David Guijarro, Johannes Köbler, Wolfgang Lindner. jcss, 73(6):924-940, 2007. [doi]

2006

How Many Query Superpositions Are Needed to Learn?Jorge Castro. alt 2006: 78-92 [doi]

On the modelling and performance evaluation of optical burst-switched networksJoão Pedro, Jorge Castro, Paulo Monteiro, João Pires. camad 2006: 30-37 [doi]

2005

On the Query Complexity of Quantum LearnersJorge Castro. eccc, (082), 2005. [doi]

2004

Quasi-Modal LatticesJorge Castro, Sergio Celani. order, 21(2):107-129, 2004. [doi]

2002

The consistency dimension and distribution-dependent learning from queriesJosé L. Balcázar, Jorge Castro, David Guijarro, Hans-Ulrich Simon. TCS, 288(2):197-215, 2002.

A New Abstract Combinatorial Dimension for Exact Learning via QueriesJosé L. Balcázar, Jorge Castro, David Guijarro. jcss, 64(1):2-21, 2002. [doi]

2001

A General Dimension for Exact LearningJosé L. Balcázar, Jorge Castro, David Guijarro. colt 2001: 354-367 [doi]

2000

Abstract Combinatorial Characterizations of Exact Learning via QueriesJosé L. Balcázar, Jorge Castro, David Guijarro. colt 2000: 248-254

PACS, simple-PAC and query learningJorge Castro, David Guijarro. ipl, 73(1-2):11-16, 2000. [doi]

1999

The Consistency Dimension and Distribution-Dependent Learning from Queries (Extended Abstract)José L. Balcázar, Jorge Castro, David Guijarro, Hans-Ulrich Simon. alt 1999: 77-92 [doi]

1998

Learning Nearly Monotone ::::k::::-Term DNFJorge Castro, David Guijarro, Víctor Lavín. ipl, 67(2):75-79, 1998. [doi]

1997

Learning Nearly Monotone ::::k::::-term DNFJorge Castro, David Guijarro, Víctor Lavín. eurocolt 1997: 162-170

1996

Complexity Classes Between Theta:::P:::::::::k:::::: and Delta:::P:::::::::k:::::: Jorge Castro, Carlos Seara. ita, 30(2):101-121, 1996.

1995

Simple PAC Learning of Simple Decision ListsJorge Castro, José L. Balcázar. alt 1995: 239-248

1992

Characterizations of Some Complexity Classes Between Theta^p_2 and Delta^p_2Jorge Castro, Carlos Seara. STACS 1992: 305-317

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