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Pedro G. Campos
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2020 – today
- 2024
- [j5]Sebastián Espinoza, Cristhian Aguilera, Luis A. Rojas, Pedro G. Campos:
Analysis of Fruit Images With Deep Learning: A Systematic Literature Review and Future Directions. IEEE Access 12: 3837-3859 (2024) - 2023
- [j4]Carlos Olmos-de-Aguilera, Pedro G. Campos, Nathalie Risso:
Error reduction in long-term mine planning estimates using deep learning models. Expert Syst. Appl. 217: 119487 (2023) - 2022
- [j3]Luis A. Rojas, Cristian Olivares-Rodríguez, Claudio Alvarez, Pedro G. Campos:
OurRank: A Software Requirements Prioritization Method Based on Qualitative Assessment and Cost-Benefit Prediction. IEEE Access 10: 131772-131787 (2022) - 2021
- [c16]Pedro G. Campos, Javier Canales, Nathalie Risso, Christian L. Vidal:
Extracting Aspect Opinions from Reviews in Spanish for Aspect-based Recommendations. SCCC 2021: 1-8
2010 – 2019
- 2019
- [c15]Pedro G. Campos, Carlos Lagos-Urbina, Patricio A. Galdames, Nathalie Risso:
A simple approach for Aspect-based Recommendation using reviews written in Spanish. SCCC 2019: 1-5 - 2018
- [c14]Elizabeth E. Grandon, Pedro G. Campos, Richard Fica Inzunza, Fabian Avila Caceres:
A Development Methodologies Recommender System Based on Knowledge from the Software Industry. SCCC 2018: 1-8 - 2017
- [c13]Pedro G. Campos, Nicolás Rodríguez-Artigot, Iván Cantador:
Extracting Context Data from User Reviews for Recommendation: A Linked Data Approach. ComplexRec@RecSys 2017: 14-18 - 2014
- [j2]Pedro G. Campos, Fernando Díez, Iván Cantador:
Time-aware recommender systems: a comprehensive survey and analysis of existing evaluation protocols. User Model. User Adapt. Interact. 24(1-2): 67-119 (2014) - [c12]Pedro G. Campos, Iván Cantador, Fernando Díez, Ignacio Fernández-Tobías:
A Criterion Based on Fisher's Exact Test for Item Splitting in Context-Aware Recommender Systems. SCCC 2014: 80-82 - 2013
- [c11]Pedro G. Campos, Alejandro Bellogín, Iván Cantador, Fernando Díez:
Time-Aware Evaluation of Methods for Identifying Active Household Members in Recommender Systems. CAEPIA 2013: 22-31 - [c10]Ignacio Fernández-Tobías, Pedro G. Campos, Iván Cantador, Fernando Díez:
A Contextual Modeling Approach for Model-Based Recommender Systems. CAEPIA 2013: 42-51 - [c9]Pedro G. Campos, Iván Cantador, Fernando Díez:
Exploiting time contexts in collaborative filtering: an item splitting approach. CaRR@WSDM 2013: 3-6 - [c8]Pedro G. Campos, Ignacio Fernández-Tobías, Iván Cantador, Fernando Díez:
Context-Aware Movie Recommendations: An Empirical Comparison of Pre-filtering, Post-filtering and Contextual Modeling Approaches. EC-Web 2013: 137-149 - 2012
- [c7]Pedro G. Campos, Alejandro Bellogín, Fernando Díez, Iván Cantador:
Time feature selection for identifying active household members. CIKM 2012: 2311-2314 - 2011
- [j1]Alejandra Segura, Christian Vidal-Castro, Víctor Hugo Menéndez-Domínguez, Pedro G. Campos, Manuel E. Prieto:
Using data mining techniques for exploring learning object repositories. Electron. Libr. 29(2): 162-180 (2011) - [c6]Pedro G. Campos, Fernando Díez, Manuel A. Sánchez-Montañés:
Towards a more realistic evaluation: testing the ability to predict future tastes of matrix factorization-based recommenders. RecSys 2011: 309-312 - 2010
- [c5]Pedro G. Campos, Ruth Cobos:
Towards Awareness Services Usage Characterization: Clustering Sessions in a Knowledge Building Environment. KSEM 2010: 270-281 - [c4]Christian Vidal-Castro, N. Alejandra Segura, Pedro G. Campos, Salvador Sánchez-Alonso:
Quality in Learning Objects: Evaluating Compliance with Metadata Standards. MTSR 2010: 342-353
2000 – 2009
- 2009
- [c3]José Antonio Pow-Sang Portillo, Pedro G. Campos:
The Jigsaw Technique: Experiences Teaching Analysis Class Diagrams. ENC 2009: 289-293 - 2008
- [c2]Jorge Burgos, Pedro G. Campos:
Modelo Para Seguridad de la Información en TIC. EIG 2008: 234-253 - [c1]Claudio Gutiérrez-Soto, Pedro G. Campos, Julio Aguila:
Longest Path Subgraph: A Novel and Efficient Algorithm to Match RDF Graphs. ENC 2008: 232-237
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