Alberto Cano

Alberto Cano

Virginia Commonwealth University

H-index: 33

North America-United States

About Alberto Cano

Alberto Cano, With an exceptional h-index of 33 and a recent h-index of 30 (since 2020), a distinguished researcher at Virginia Commonwealth University, specializes in the field of Machine Learning, Data Stream Mining, Concept Drift, Multi-label learning, GPU.

His recent articles reflect a diverse array of research interests and contributions to the field:

A comprehensive analysis of concept drift locality in data streams

Dynamic budget allocation for sparsely labeled drifting data streams

Spatio-temporal visual learning for home-based monitoring

A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework

Aging and rejuvenating strategies for fading windows in multi-label classification on data streams

An active learning budget-based oversampling approach for partially labeled multi-class imbalanced data streams

Meta-learning for dynamic tuning of Active Learning on Stream Classification

Enhancing Concept Drift Detection in Drifting and Imbalanced Data Streams through Meta-Learning

Alberto Cano Information

University

Position

Assistant Professor of Computer Science USA

Citations(all)

3489

Citations(since 2020)

2694

Cited By

1806

hIndex(all)

33

hIndex(since 2020)

30

i10Index(all)

65

i10Index(since 2020)

54

Email

University Profile Page

Virginia Commonwealth University

Google Scholar

View Google Scholar Profile

Alberto Cano Skills & Research Interests

Machine Learning

Data Stream Mining

Concept Drift

Multi-label learning

GPU

Top articles of Alberto Cano

Title

Journal

Author(s)

Publication Date

A comprehensive analysis of concept drift locality in data streams

Knowledge-Based Systems

Gabriel J Aguiar

Alberto Cano

2024/2/17

Dynamic budget allocation for sparsely labeled drifting data streams

Information Sciences

Gabriel Aguiar

Alberto Cano

2024/1

Spatio-temporal visual learning for home-based monitoring

Information Fusion

Y Djenouri

A Belbachir

A Cano

A Belhadi

2024/1

A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework

Machine Learning

Gabriel Aguiar

Bartosz Krawczyk

Alberto Cano

2023/6

Aging and rejuvenating strategies for fading windows in multi-label classification on data streams

Martha Roseberry

Saso Dzeroski

Albert Bifet

Alberto Cano

2023/3/27

An active learning budget-based oversampling approach for partially labeled multi-class imbalanced data streams

Gabriel J Aguiar

Alberto Cano

2023/3

Meta-learning for dynamic tuning of Active Learning on Stream Classification

Pattern Recognition

Vinicius Eiji Martins

Alberto Cano

Sylvio Barbon Junior

2023/2/2

Enhancing Concept Drift Detection in Drifting and Imbalanced Data Streams through Meta-Learning

G Aguiar

Alberto Cano

2023/12

ROSE: Robust Online Self-Adjusting Ensemble for Continual Learning on Imbalanced Drifting Data Streams

Machine Learning

Alberto Cano

Bartosz Krawczyk

2022/7

Adaptive Ensemble of Self-Adjusting Nearest Neighbor Subspaces for Multi-Label Drifting Data Streams

Neurocomputing

Gavin Alberghini

Sylvio Barbon Junior

Alberto Cano

2022/1/25

Analysis and forecasting of rivers pH level using Deep Learning

Progress in Artificial Intelligence

A Srivastava

Alberto Cano

2022

Hybrid Group Anomaly Detection for Sequence Data: Application to Trajectory Data Analytics

IEEE Transactions on Intelligent Transportation Systems

A Belhadi

Y Djenouri

G Srivastava

A Cano

J Chun-Wei Lin

2022

An Ontology Matching Approach for Semantic Modeling: A Case Study in Smart Cities

Computational Intelligence

Y Djenouri

H Belhadi

K Akli-Astouati

Alberto Cano

J Chun-Wei Lin

2022

An Explainable Classifier based on Genetically Evolved Graph Structures

João Roberto Bertini Junior

Alberto Cano

2022/7/18

Time Series Segmentation Based on Stationarity Analysis to Improve New Samples Prediction

Sensors

A. Petri

B. Bogaz

Alberto Cano

S. Barbon

2021/11/4

Self-Adjusting k Nearest Neighbors for Continual Learning from Multi-Label Drifting Data Streams

Neurocomputing

Martha Roseberry

Bartosz Krawczyk

Youcef Djenouri

Alberto Cano

2021/6/28

Locally Linear Support Vector Machines for Imbalanced Data Classification

Bartosz Krawczyk

Alberto Cano

2021/5/9

Machine learning techiniques application in glioma interactome study: a multicentric analysis of 100 patients

Brain and Spine

ML Gandia Gonzalez

J Solivera

AC Fuentes-Fayos

A Cano-Rojas

RM Luque

...

2021/1/1

A Two-Phase Anomaly Detection Model for Secure Intelligent Transportation Ride-Hailing Trajectories

IEEE Transactions on Intelligent Transportation Systems

Asma Belhadi

Youcef Djenouri

Gautam Srivastava

Djamel Djenouri

Alberto Cano

...

2020/9/23

Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem

IEEE Access

A Belhadi

Y Djenouri

J Lin

C Zhang

Alberto Cano

2020/1

See List of Professors in Alberto Cano University(Virginia Commonwealth University)

Co-Authors

H-index: 60
Sebastián Ventura (ORCID: 0000-0003-4216-6378)

Sebastián Ventura (ORCID: 0000-0003-4216-6378)

Universidad de Córdoba

H-index: 51
Cristóbal Romero

Cristóbal Romero

Universidad de Córdoba

H-index: 50
Mykola Pechenizkiy

Mykola Pechenizkiy

Technische Universiteit Eindhoven

H-index: 40
Krzysztof J Cios, Fellow: IEEE, AIMBE

Krzysztof J Cios, Fellow: IEEE, AIMBE

Virginia Commonwealth University

H-index: 40
Bartosz Krawczyk

Bartosz Krawczyk

Virginia Commonwealth University

H-index: 40
Michal Wozniak

Michal Wozniak

Politechnika Wroclawska

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