Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDFernando Ortega 0001
Person information
- affiliation (since 2018): Dpto. Sistemas Informáticos, ETSI Sistemas Informáticos, Universidad Politécnica" de Madrid, Spain
- affiliation (since 2017): U-tad: Centro universitario de tecnología y arte digital, Madrid, Spain
- affiliation (2015 - 2017): BigTrueData, Madrid, Spain
- affiliation: Technical University of Madrid, Spain
Other persons with the same name
- Fernando Ortega 0002 (aka: José Fernando Ortega) — Universidad de Castilla-La Mancha, Albacete, Spain
- Fernando Ortega 0003 — University of Birmingham, School of Biosciences, UK
- Fernando Ortega 0004 — IT Consultores S.A.S., Bogota, Colombia
- Fernando Ortega 0005 — Universidad de Las Palmas de Gran Canaria, Spain
- Fernando Ortega 0006 — National Semiconductor Company, San Diego, CA, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[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) - 2023
- [j44]Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez
, Ángel González-Prieto:
Deep variational models for collaborative filtering-based recommender systems. Neural Comput. Appl. 35(10): 7817-7831 (2023) - [j43]Jorge Dueñas-Lerín, Raúl Lara-Cabrera, Fernando Ortega, Jesús Bobadilla:
Neural group recommendation based on a probabilistic semantic aggregation. Neural Comput. Appl. 35(19): 14081-14092 (2023) - [j42]Raúl Lara-Cabrera, Fernando Ortega, Edgar Talavera, Daniel López-Fernández:
Using 3-D Printed Badges to Improve Student Performance and Reduce Dropout Rates in STEM Higher Education. IEEE Trans. Educ. 66(6): 612-621 (2023) - [i10]Jorge Dueñas-Lerín, Raúl Lara-Cabrera, Fernando Ortega, Jesús Bobadilla:
Neural Group Recommendation Based on a Probabilistic Semantic Aggregation. CoRR abs/2303.07001 (2023) - [i9]Raúl Lara-Cabrera, Fernando Ortega, Edgar Talavera, Daniel López-Fernández:
Using 3D printed badges to improve student performance and reduce dropout rates in STEM higher education. CoRR abs/2303.08939 (2023) - [i8]Raúl Lara-Cabrera, Ángel González-Prieto, Diego Pérez-López, Diego Trujillo, Fernando Ortega:
An evaluation framework for dimensionality reduction through sectional curvature. CoRR abs/2303.09909 (2023) - [i7]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) - [i6]Diego Pérez-López, Fernando Ortega, Ángel González-Prieto, Jorge Dueñas-Lerín:
Incorporating Recklessness to Collaborative Filtering based Recommender Systems. CoRR abs/2308.02058 (2023) - 2022
- [j41]Álvaro González, Fernando Ortega, Diego Pérez-López, Santiago Alonso:
Bias and Unfairness of Collaborative Filtering Based Recommender Systems in MovieLens Dataset. IEEE Access 10: 68429-68439 (2022) - [j40]Jesús Bobadilla, Ángel González-Prieto, Fernando Ortega, Raúl Lara-Cabrera:
Deep learning approach to obtain collaborative filtering neighborhoods. Neural Comput. Appl. 34(4): 2939-2951 (2022) - [i5]Ángel González-Prieto, Abraham Gutiérrez, Fernando Ortega, Raúl Lara-Cabrera:
ResBeMF: Improving Prediction Coverage of Classification based Collaborative Filtering. CoRR abs/2210.10619 (2022) - 2021
- [j39]Daniel López-Fernández, Aldo Gordillo, Fernando Ortega, Agustín Yagüe, Edmundo Tovar:
LEGO® Serious Play in Software Engineering Education. IEEE Access 9: 103120-103131 (2021) - [j38]Jesús Bobadilla, Raúl Lara-Cabrera, Ángel González-Prieto, Fernando Ortega:
DeepFair: Deep Learning for Improving Fairness in Recommender Systems. Int. J. Interact. Multim. Artif. Intell. 6(6): 86-94 (2021) - [j37]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) - [j36]Fernando Ortega, Jesús Mayor, Daniel López-Fernández, Raúl Lara-Cabrera:
CF4J 2.0: Adapting Collaborative Filtering for Java to new challenges of collaborative filtering based recommender systems. Knowl. Based Syst. 215: 106629 (2021) - [j35]Jesús Bobadilla, Ángel González-Prieto, Fernando Ortega, Raúl Lara-Cabrera:
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]Francisco Pajuelo-Holguera, Juan Antonio Gómez Pulido, Fernando Ortega:
Recommender systems for sensor-based ambient control in academic facilities. Eng. Appl. Artif. Intell. 96: 103993 (2020) - [j33]Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez, Santiago Alonso:
Classification-based Deep Neural Network Architecture for Collaborative Filtering Recommender Systems. Int. J. Interact. Multim. Artif. Intell. 6(1): 68-77 (2020) - [j32]Francisco Pajuelo-Holguera, Juan Antonio Gómez Pulido, Fernando Ortega, José M. Granado Criado:
Recommender system implementations for embedded collaborative filtering applications. Microprocess. Microsystems 73: 102997 (2020) - [j31]Fernando Ortega, Ángel González-Prieto, Jesús Bobadilla, Abraham Gutiérrez:
Collaborative Filtering to Predict Sensor Array Values in Large IoT Networks. Sensors 20(16): 4628 (2020) - [c4]Jesús Mayor, Raúl Lara-Cabrera, Daniel López-Fernández, Fernando Ortega:
Entornos parcialmente no euclidianos en realidad virtual(Partially non-Euclidean environments in virtual reality). CoSECivi 2020: 91-103 - [i3]Fernando Ortega, Raúl Lara-Cabrera, Ángel González-Prieto, Jesús Bobadilla:
Providing reliability in Recommender Systems through Bernoulli Matrix Factorization. CoRR abs/2006.03481 (2020) - [i2]Jesús Bobadilla, Raúl Lara-Cabrera, Ángel González-Prieto, Fernando Ortega:
DeepFair: Deep Learning for Improving Fairness in Recommender Systems. CoRR abs/2006.05255 (2020) - [i1]Jesús Bobadilla, Ángel González-Prieto, Fernando Ortega, Raúl Lara-Cabrera:
Deep Learning feature selection to unhide demographic recommender systems factors. CoRR abs/2006.12379 (2020)
2010 – 2019
- 2019
- [j30]Remigio Hurtado, Jesús Bobadilla, Rodolfo Bojorque, Fernando Ortega, Xin Li:
A New Recommendation Approach Based on Probabilistic Soft Clustering Methods: A Scientific Documentation Case Study. IEEE Access 7: 7522-7534 (2019) - [j29]Santiago Alonso, Jesús Bobadilla, Fernando Ortega, Ricardo Moya:
Robust Model-Based Reliability Approach to Tackle Shilling Attacks in Collaborative Filtering Recommender Systems. IEEE Access 7: 41782-41798 (2019) - [j28]Priscila Valdiviezo, Fernando Ortega, Eduardo Cobos, Raúl Lara-Cabrera:
A Collaborative Filtering Approach Based on Naïve Bayes Classifier. IEEE Access 7: 108581-108592 (2019) - [c3]Daniel López-Fernández, Edmundo Tovar, Pedro Pablo Alarcón, Fernando Ortega:
Motivation of Computer Science Engineering Students: Analysis and Recommendations. FIE 2019: 1-8 - [c2]Francisco Pajuelo-Holguera, Juan Antonio Gómez Pulido, Fernando Ortega:
Evaluating Strategies for Selecting Test Datasets in Recommender Systems. HAIS 2019: 243-253 - [d1]Santiago Alonso, Jesús Bobadilla, Fernando Ortega, Ricardo Moya:
MaliciousML: MovieLens dataset attacked with diverse profile injection attacks. IEEE DataPort, 2019
- 2018
- [j27]Fernando Ortega, Remigio Hurtado, Jesús Bobadilla, Rodolfo Bojorque:
Recommendation to Groups of Users Using the Singularities Concept. IEEE Access 6: 39745-39761 (2018) - [j26]Fernando Ortega, Jesús Bobadilla, Abraham Gutiérrez, Remigio Hurtado, Xin Li:
Artificial Intelligence Scientific Documentation Dataset for Recommender Systems. IEEE Access 6: 48543-48555 (2018) - [j25]Bo Zhu, Remigio Hurtado, Jesús Bobadilla, Fernando Ortega:
An Efficient Recommender System Method Based on the Numerical Relevances and the Non-Numerical Structures of the Ratings. IEEE Access 6: 49935-49954 (2018) - [j24]Fernando Ortega, Diego Rojo, Priscila Valdiviezo, Laura Raya:
Hybrid Collaborative Filtering Based on Users Rating Behavior. IEEE Access 6: 69582-69591 (2018) - [j23]Antonio Hernando, Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez:
Method to interactively visualize and navigate related information. Expert Syst. Appl. 111: 61-75 (2018) - [j22]Jesús Bobadilla, Abraham Gutiérrez, Fernando Ortega, Bo Zhu:
Reliability quality measures for recommender systems. Inf. Sci. 442-443: 145-157 (2018) - [j21]Bo Zhu, Fernando Ortega, Jesús Bobadilla, Abraham Gutiérrez:
Assigning reliability values to recommendations using matrix factorization. J. Comput. Sci. 26: 165-177 (2018) - [j20]Fernando Ortega, Bo Zhu, Jesús Bobadilla, Antonio Hernando:
CF4J: Collaborative filtering for Java. Knowl. Based Syst. 152: 94-99 (2018) - [j19]S. Gil, Jesús Bobadilla, Fernando Ortega, Bo Zhu:
VisualRS: Java framework for visualization of recommender systems information. Knowl. Based Syst. 155: 66-70 (2018) - 2017
- [j18]Antonio Hernando, Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez:
A probabilistic model for recommending to new cold-start non-registered users. Inf. Sci. 376: 216-232 (2017) - 2016
- [j17]Fernando Ortega, Antonio Hernando, Jesús Bobadilla, Jeon-Hyung Kang:
Recommending items to group of users using Matrix Factorization based Collaborative Filtering. Inf. Sci. 345: 313-324 (2016) - [j16]Antonio Hernando, Jesús Bobadilla, Fernando Ortega:
A non negative matrix factorization for collaborative filtering recommender systems based on a Bayesian probabilistic model. Knowl. Based Syst. 97: 188-202 (2016) - 2015
- [b1]Fernando Ortega Requena:
Incorporating Group Recommendations to Recommender Systems: Alternatives and Performance. Technical University of Madrid, Spain, 2015 - 2014
- [j15]Fernando Ortega, Jesús Bobadilla, Antonio Hernando, Fernando Rodríguez:
Using Hierarchical Graph Maps to Explain Collaborative Filtering Recommendations. Int. J. Intell. Syst. 29(5): 462-477 (2014) - [j14]Antonio Hernando, Ricardo Moya, Fernando Ortega, Jesús Bobadilla:
Hierarchical graph maps for visualization of collaborative recommender systems. J. Inf. Sci. 40(1): 97-106 (2014) - 2013
- [j13]Fernando Ortega, Jesús Bobadilla, Antonio Hernando, Abraham Gutiérrez:
Incorporating group recommendations to recommender systems: Alternatives and performance. Inf. Process. Manag. 49(4): 895-901 (2013) - [j12]Antonio Hernando, Jesús Bobadilla, Fernando Ortega, Jorge Tejedor:
Incorporating reliability measurements into the predictions of a recommender system. Inf. Sci. 218: 1-16 (2013) - [j11]Antonio Hernando, Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez:
Trees for explaining recommendations made through collaborative filtering. Inf. Sci. 239: 1-17 (2013) - [j10]Fernando Ortega, José Luis Sánchez, Jesús Bobadilla, Abraham Gutiérrez:
Improving collaborative filtering-based recommender systems results using Pareto dominance. Inf. Sci. 239: 50-61 (2013) - [j9]Jesús Bobadilla, Fernando Ortega, Antonio Hernando, Abraham Gutiérrez:
Recommender systems survey. Knowl. Based Syst. 46: 109-132 (2013) - [j8]Jesús Bobadilla, Fernando Ortega, Antonio Hernando, Guillermo Glez. de Rivera:
A similarity metric designed to speed up, using hardware, the recommender systems k-nearest neighbors algorithm. Knowl. Based Syst. 51: 27-34 (2013) - 2012
- [j7]Jesús Bobadilla, Fernando Ortega, Antonio Hernando, Jesus Bernal:
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) - [j6]Jesús Bobadilla, Fernando Ortega, Antonio Hernando, Angel Arroyo:
A balanced memory-based collaborative filtering similarity measure. Int. J. Intell. Syst. 27(10): 939-946 (2012) - [j5]Jesús Bobadilla, Fernando Ortega, Antonio Hernando:
A collaborative filtering similarity measure based on singularities. Inf. Process. Manag. 48(2): 204-217 (2012) - [j4]Jesús Bobadilla, Antonio Hernando, Fernando Ortega, Abraham Gutiérrez:
Collaborative filtering based on significances. Inf. Sci. 185(1): 1-17 (2012) - [j3]Jesús Bobadilla, Fernando Ortega, Antonio Hernando, Jesus Bernal:
A collaborative filtering approach to mitigate the new user cold start problem. Knowl. Based Syst. 26: 225-238 (2012) - 2011
- [j2]Jesús Bobadilla, Antonio Hernando, Fernando Ortega, Jesus Bernal:
A framework for collaborative filtering recommender systems. Expert Syst. Appl. 38(12): 14609-14623 (2011) - [j1]Jesús Bobadilla, Fernando Ortega, Antonio Hernando, Javier Alcalá:
Improving collaborative filtering recommender system results and performance using genetic algorithms. Knowl. Based Syst. 24(8): 1310-1316 (2011) - [c1]Fernando Ortega, Antonio Hernando, Jesús Bobadilla:
Extended Precision Quality Measure for Recommender Systems. CAEPIA 2011: 433-442
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 2024-04-21 17:42 CEST 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:
