Pedro G. Campos - researchr alias

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Viewing Publication 1 - 20 from 20

2024

Analysis of Fruit Images With Deep Learning: A Systematic Literature Review and Future DirectionsSebastián Espinoza, Cristhian Aguilera, Luis A. Rojas, Pedro G. Campos. access, 12:3837-3859, 2024. [doi]

2023

Error reduction in long-term mine planning estimates using deep learning modelsCarlos Olmos-de-Aguilera, Pedro G. Campos, Nathalie Risso. eswa, 217:119487, May 2023. [doi]

2022

OurRank: A Software Requirements Prioritization Method Based on Qualitative Assessment and Cost-Benefit PredictionLuis A. Rojas, Cristian Olivares-Rodríguez, Claudio Alvarez, Pedro G. Campos. access, 10:131772-131787, 2022. [doi]

2021

Extracting Aspect Opinions from Reviews in Spanish for Aspect-based RecommendationsPedro G. Campos, Javier Canales, Nathalie Risso, Christian L. Vidal. sccc 2021: 1-8 [doi]

2019

A simple approach for Aspect-based Recommendation using reviews written in SpanishPedro G. Campos, Carlos Lagos-Urbina, Patricio Galdames, Nathalie Risso. sccc 2019: 1-5 [doi]

2018

A Development Methodologies Recommender System Based on Knowledge from the Software IndustryElizabeth E. Grandon, Pedro G. Campos, Richard Fica Inzunza, Fabian Avila Caceres. sccc 2018: 1-8 [doi]

2017

Extracting Context Data from User Reviews for Recommendation: A Linked Data ApproachPedro G. Campos, Nicolás Rodríguez-Artigot, Iván Cantador. recsys 2017: 14-18 [doi]

2014

A Criterion Based on Fisher's Exact Test for Item Splitting in Context-Aware Recommender SystemsPedro G. Campos, Iván Cantador, Fernando Díez, Ignacio Fernández-Tobías. sccc 2014: 80-82 [doi]

Time-aware recommender systems: a comprehensive survey and analysis of existing evaluation protocolsPedro G. Campos, Fernando Díez, Iván Cantador. umuai, 24(1-2):67-119, 2014. [doi]

2013

2012

Time feature selection for identifying active household membersPedro G. Campos, Alejandro Bellogín, Fernando Díez, Iván Cantador. CIKM 2012: 2311-2314 [doi]

2011

Towards a more realistic evaluation: testing the ability to predict future tastes of matrix factorization-based recommendersPedro G. Campos, Fernando Díez, Manuel A. Sánchez-Montañés. recsys 2011: 309-312 [doi]

Using data mining techniques for exploring learning object repositoriesAlejandra Segura, Christian Vidal-Castro, Víctor Menéndez-Domínguez, Pedro G. Campos, Manuel Prieto. el, 29(2):162-180, 2011. [doi]

2010

Towards Awareness Services Usage Characterization: Clustering Sessions in a Knowledge Building EnvironmentPedro G. Campos, Ruth Cobos. ksem 2010: 270-281 [doi]

2009

The Jigsaw Technique: Experiences Teaching Analysis Class DiagramsJosé Antonio Pow-Sang Portillo, Pedro G. Campos. enc 2009: 289-293 [doi]

2008

Modelo Para Seguridad de la InformaciÃ³n en TICJorge Burgos, Pedro G. Campos. eig 2009: 234-253 [doi]

Longest Path Subgraph: A Novel and Efficient Algorithm to Match RDF GraphsClaudio Gutiérrez-Soto, Pedro G. Campos, Julio Aguila. enc 2008: 232-237 [doi]

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