default search action
Jesús Bobadilla
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j44]Jesús Bobadilla
, Abraham Gutierrez Rodriguez
Wasserstein GAN-based architecture to generate collaborative filtering synthetic datasets. Appl. Intell. 54(3): 2472-2490 (2024) - [j43]Jesús Bobadilla, Jorge Dueñas-Lerín
Comprehensive Evaluation of Matrix Factorization Models for Collaborative Filtering Recommender Systems. Int. J. Interact. Multim. Artif. Intell. 8(6): 15 (2024) - [c13]Jesús Bobadilla
A Non-centralized Federated Learning Architecture to Obtain Accurate Privacy Preserving Results. ICCAI 2024: 393-398 - [i12]Fernando Ortega, Bo Zhu, Jesús Bobadilla, Antonio Hernando:
CF4J: Collaborative Filtering for Java. CoRR abs/2402.01008 (2024) - [i11]Jesús Bobadilla, Abraham Gutiérrez, Fernando Ortega, Bo Zhu:
Reliability quality measures for recommender systems. CoRR abs/2402.04457 (2024) - [i10]Jesús Bobadilla, Abraham Gutiérrez, Santiago Alonso, Ángel González-Prieto:
Neural Collaborative Filtering Classification Model to Obtain Prediction Reliabilities. CoRR abs/2410.16838 (2024) - [i9]Jesús Bobadilla, Jorge Dueñas-Lerín, Fernando Ortega, Abraham Gutiérrez:
Comprehensive Evaluation of Matrix Factorization Models for Collaborative Filtering Recommender Systems. CoRR abs/2410.17644 (2024) - [i8]Jesús Bobadilla, Abraham Gutiérrez:
Testing Deep Learning Recommender Systems Models on Synthetic GAN-Generated Datasets. CoRR abs/2410.17651 (2024) - 2023
- [j42]Jesús Bobadilla, Abraham Gutiérrez
Creating synthetic datasets for collaborative filtering recommender systems using generative adversarial networks. Knowl. Based Syst. 280: 111016 (2023) - [j41]Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez
Deep variational models for collaborative filtering-based recommender systems. Neural Comput. Appl. 35(10): 7817-7831 (2023) - [j40]Jorge Dueñas-Lerín
Neural group recommendation based on a probabilistic semantic aggregation. Neural Comput. Appl. 35(19): 14081-14092 (2023) - [c12]Jesús Bobadilla, Abraham Gutiérrez:
Generating and Testing Synthetic Datasets for Recommender Systems to Improve Fairness in Collaborative Filtering Research. AICCSA 2023: 1-6 - [i7]Jesús Bobadilla, Abraham Gutiérrez, Raciel Yera
Creating Synthetic Datasets for Collaborative Filtering Recommender Systems using Generative Adversarial Networks. CoRR abs/2303.01297 (2023) - [i6]Jorge Dueñas-Lerín, Raúl Lara-Cabrera, Fernando Ortega, Jesús Bobadilla:
Neural Group Recommendation Based on a Probabilistic Semantic Aggregation. CoRR abs/2303.07001 (2023) - [i5]Jorge Dueñas-Lerín, Raúl Lara-Cabrera, Fernando Ortega, Jesús Bobadilla:
Deep Neural Aggregation for Recommending Items to Group of Users. CoRR abs/2307.09447 (2023) - 2022
- [j39]Jesús Bobadilla, Abraham Gutiérrez
Neural Collaborative Filtering Classification Model to Obtain Prediction Reliabilities. Int. J. Interact. Multim. Artif. Intell. 7(4): 18 (2022) - [j38]Jesús Bobadilla, Ángel González-Prieto
Deep learning approach to obtain collaborative filtering neighborhoods. Neural Comput. Appl. 34(4): 2939-2951 (2022) - [c11]Jesús Bobadilla
Recommendation Versus Regression Neural Collaborative Filtering. KES-IDT 2022: 15-24 - 2021
- [j37]Jesús Bobadilla, Raúl Lara-Cabrera, Ángel González-Prieto
DeepFair: Deep Learning for Improving Fairness in Recommender Systems. Int. J. Interact. Multim. Artif. Intell. 6(6): 86-94 (2021) - [j36]Fernando Ortega, Raúl Lara-Cabrera, Ángel González-Prieto, Jesús Bobadilla:
Providing reliability in recommender systems through Bernoulli Matrix Factorization. Inf. Sci. 553: 110-128 (2021) - [j35]Jesús Bobadilla
Deep learning feature selection to unhide demographic recommender systems factors. Neural Comput. Appl. 33(12): 7291-7308 (2021) - [i4]Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez, Ángel González-Prieto
Deep Variational Models for Collaborative Filtering-based Recommender Systems. CoRR abs/2107.12677 (2021) - 2020
- [j34]Jesús Bobadilla, Fernando Ortega
Classification-based Deep Neural Network Architecture for Collaborative Filtering Recommender Systems. Int. J. Interact. Multim. Artif. Intell. 6(1): 68-77 (2020) - [j33]Jesús Bobadilla, Abraham Gutiérrez
A Collaborative Filtering Probabilistic Approach for Recommendation to Large Homogeneous and Automatically Detected Groups. Int. J. Interact. Multim. Artif. Intell. 6(2): 1-11 (2020) - [j32]Fernando Ortega
Collaborative Filtering to Predict Sensor Array Values in Large IoT Networks. Sensors 20(16): 4628 (2020) - [i3]Fernando Ortega, Raúl Lara-Cabrera, Ángel González-Prieto
Providing reliability in Recommender Systems through Bernoulli Matrix Factorization. CoRR abs/2006.03481 (2020) - [i2]Jesús Bobadilla, Raúl Lara-Cabrera, Ángel González-Prieto
DeepFair: Deep Learning for Improving Fairness in Recommender Systems. CoRR abs/2006.05255 (2020) - [i1]Jesús Bobadilla, Ángel González-Prieto
Deep Learning feature selection to unhide demographic recommender systems factors. CoRR abs/2006.12379 (2020)
2010 – 2019
- 2019
- [j31]Remigio Hurtado
A New Recommendation Approach Based on Probabilistic Soft Clustering Methods: A Scientific Documentation Case Study. IEEE Access 7: 7522-7534 (2019) - [j30]Santiago Alonso
Robust Model-Based Reliability Approach to Tackle Shilling Attacks in Collaborative Filtering Recommender Systems. IEEE Access 7: 41782-41798 (2019) - [d1]Santiago Alonso, Jesús Bobadilla, Fernando Ortega, Ricardo Moya:
MaliciousML: MovieLens dataset attacked with diverse profile injection attacks. IEEE DataPort, 2019 - 2018
- [j29]Jesús Bobadilla
Recommender Systems Clustering Using Bayesian Non Negative Matrix Factorization. IEEE Access 6: 3549-3564 (2018) - [j28]Fernando Ortega
Recommendation to Groups of Users Using the Singularities Concept. IEEE Access 6: 39745-39761 (2018) - [j27]Fernando Ortega
Artificial Intelligence Scientific Documentation Dataset for Recommender Systems. IEEE Access 6: 48543-48555 (2018) - [j26]Bo Zhu, Remigio Hurtado
An Efficient Recommender System Method Based on the Numerical Relevances and the Non-Numerical Structures of the Ratings. IEEE Access 6: 49935-49954 (2018) - [j25]Antonio Hernando
Method to interactively visualize and navigate related information. Expert Syst. Appl. 111: 61-75 (2018) - [j24]Jesús Bobadilla, Abraham Gutiérrez, Fernando Ortega
Reliability quality measures for recommender systems. Inf. Sci. 442-443: 145-157 (2018) - [j23]Bo Zhu, Fernando Ortega
Assigning reliability values to recommendations using matrix factorization. J. Comput. Sci. 26: 165-177 (2018) - [j22]Fernando Ortega
CF4J: Collaborative filtering for Java. Knowl. Based Syst. 152: 94-99 (2018) - [j21]S. Gil, Jesús Bobadilla
VisualRS: Java framework for visualization of recommender systems information. Knowl. Based Syst. 155: 66-70 (2018) - 2017
- [j20]Antonio Hernando
A probabilistic model for recommending to new cold-start non-registered users. Inf. Sci. 376: 216-232 (2017) - 2016
- [j19]Fernando Ortega
Recommending items to group of users using Matrix Factorization based Collaborative Filtering. Inf. Sci. 345: 313-324 (2016) - [j18]Antonio Hernando
A non negative matrix factorization for collaborative filtering recommender systems based on a Bayesian probabilistic model. Knowl. Based Syst. 97: 188-202 (2016) - 2014
- [j17]Fernando Ortega
Using Hierarchical Graph Maps to Explain Collaborative Filtering Recommendations. Int. J. Intell. Syst. 29(5): 462-477 (2014) - [j16]Antonio Hernando
Hierarchical graph maps for visualization of collaborative recommender systems. J. Inf. Sci. 40(1): 97-106 (2014) - 2013
- [j15]Fernando Ortega
Incorporating group recommendations to recommender systems: Alternatives and performance. Inf. Process. Manag. 49(4): 895-901 (2013) - [j14]Antonio Hernando
Incorporating reliability measurements into the predictions of a recommender system. Inf. Sci. 218: 1-16 (2013) - [j13]Antonio Hernando
Trees for explaining recommendations made through collaborative filtering. Inf. Sci. 239: 1-17 (2013) - [j12]Fernando Ortega
Improving collaborative filtering-based recommender systems results using Pareto dominance. Inf. Sci. 239: 50-61 (2013) - [j11]Jesús Bobadilla, Fernando Ortega
Recommender systems survey. Knowl. Based Syst. 46: 109-132 (2013) - [j10]Jesús Bobadilla, Fernando Ortega
A similarity metric designed to speed up, using hardware, the recommender systems k-nearest neighbors algorithm. Knowl. Based Syst. 51: 27-34 (2013) - 2012
- [j9]Jesús Bobadilla, Fernando Ortega
Generalization of recommender systems: Collaborative filtering extended to groups of users and restricted to groups of items. Expert Syst. Appl. 39(1): 172-186 (2012) - [j8]Jesús Bobadilla, Fernando Ortega
A balanced memory-based collaborative filtering similarity measure. Int. J. Intell. Syst. 27(10): 939-946 (2012) - [j7]Jesús Bobadilla, Fernando Ortega
A collaborative filtering similarity measure based on singularities. Inf. Process. Manag. 48(2): 204-217 (2012) - [j6]Jesús Bobadilla, Antonio Hernando
Collaborative filtering based on significances. Inf. Sci. 185(1): 1-17 (2012) - [j5]Jesús Bobadilla, Fernando Ortega
A collaborative filtering approach to mitigate the new user cold start problem. Knowl. Based Syst. 26: 225-238 (2012) - 2011
- [j4]Jesús Bobadilla, Antonio Hernando
A framework for collaborative filtering recommender systems. Expert Syst. Appl. 38(12): 14609-14623 (2011) - [j3]Jesús Bobadilla, Fernando Ortega
Improving collaborative filtering recommender system results and performance using genetic algorithms. Knowl. Based Syst. 24(8): 1310-1316 (2011) - [c10]Fernando Ortega
Extended Precision Quality Measure for Recommender Systems. CAEPIA 2011: 433-442 - [c9]Jesús Bobadilla, Antonio Hernando
e-learning experience using recommender systems. SIGCSE 2011: 477-482 - 2010
- [j2]Jesús Bobadilla, Francisco Serradilla
A new collaborative filtering metric that improves the behavior of recommender systems. Knowl. Based Syst. 23(6): 520-528 (2010) - [p1]Antonio Hernando
Collaborative Filtering Based on Choosing a Different Number of Neighbors for Each User. Handbook of Social Network Technologies 2010: 317-330
2000 – 2009
- 2009
- [j1]Jesús Bobadilla, Francisco Serradilla
Collaborative filtering adapted to recommender systems of e-learning. Knowl. Based Syst. 22(4): 261-265 (2009) - [c8]Jesús Bobadilla, Francisco Serradilla:
The Effect of Sparsity on Collaborative Filtering Metrics. ADC 2009: 9-17 - [c7]Jesús Bobadilla, Francisco Serradilla, Luis F. Mingo:
Reducing Recommender Systems Data Base Sizes and Improving their Accuracy. International Conference on Internet Computing 2009: 196-202 - 2007
- [c6]Jesús Bobadilla, Pedro Gomez, Juan Ignacio Godino-Llorente
Mapaci: A Real Time e-Health Application to Assist Throat Complaint Patients. ICIW 2007: 63 - 2004
- [c5]Luis Mengual
A Fuzzy Multi-agent System for Secure Remote Control of a Mobile Guard Robot. AWIC 2004: 44-53 - [c4]Jesús Bobadilla, Luis Mengual
Cooperative Visualization Framework Based on Video Streaming and Real-Time Vectorial Information. CDVE 2004: 61-68 - [c3]Jesús Bobadilla, Luis Mengual
Dynamic Quality Control Based on Fuzzy Agents for Multipoint Videoconferencing. IBERAMIA 2004: 22-31 - [c2]Jesús Bobadilla:
New Speech Enhancement Approach for Formant Evolution Detection. TSD 2004: 275-282
1990 – 1999
- 1995
- [c1]Pedro Gómez, Victoria Rodellar, Agustín Álvarez, Jesús Bobadilla, Jesus Bernal, Victor Nieto Lluis, Mercedes Pérez:
Estimation of speech formant-dynamics using neural networks. EUROSPEECH 1995: 2221-2224
1980 – 1989
- 1989
- [b1]Jesús Bobadilla:
Desarrollo de algoritmos basados en filtrado adaptativo y su aplicación en el estudio de la fonética acústica española. Technical University of Madrid, Spain, 1989
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-28 20:32 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: