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Alberto Cano
PeerJ Editor & Reviewer
620 Points

Contributions by role

Reviewer 120
Editor 500

Contributions by subject area

Artificial Intelligence
Data Mining and Machine Learning
Distributed and Parallel Computing
Social Computing
Bioinformatics
Computational Linguistics
Data Science
Natural Language and Speech
World Wide Web and Web Science
Computer Architecture
Computer Networks and Communications
Algorithms and Analysis of Algorithms
Databases
Emerging Technologies
Computational Biology

Alberto Cano

PeerJ Editor & Reviewer

Summary

Alberto Cano is an Assistant Professor with the Department of Computer Science, Virginia Commonwealth University, Richmond, Virginia, United States, where he heads the High-Performance Data Mining laboratory. His research is focused on machine learning, data mining, big data, evolutionary computation, general-purpose computing on graphics processing units, and distributed computing.

Artificial Intelligence Data Mining & Machine Learning Distributed & Parallel Computing

Editing Journals

PeerJ Computer Science

Past or current institution affiliations

Virginia Commonwealth University

Work details

Assistant Professor

Virginia Commonwealth University
August 2015
Computer Science

Websites

  • Google Scholar
  • GitHub
  • LinkedIn

PeerJ Contributions

  • Edited 3

Academic Editor on

April 5, 2022
GPUTreeShap: massively parallel exact calculation of SHAP scores for tree ensembles
Rory Mitchell, Eibe Frank, Geoffrey Holmes
https://doi.org/10.7717/peerj-cs.880
April 1, 2021
Classification of the drifting data streams using heterogeneous diversified dynamic class-weighted ensemble
Martin Sarnovsky, Michal Kolarik
https://doi.org/10.7717/peerj-cs.459
March 25, 2021
A hybrid multi-objective whale optimization algorithm for analyzing microarray data based on Apache Spark
Amr Mohamed AbdelAziz, Taysir Soliman, Kareem Kamal A. Ghany, Adel Sewisy
https://doi.org/10.7717/peerj-cs.416