Alberto Cano - Citegraph

Author Info

Name	Affiliation	Papers
ALBERTO CANO	Department of Computer Science and Numerical Analysis, University of Cordoba, Córdoba, Spain	27
Collaborators	Citations	PageRank
26	130	11.20
Referers	Referees	References
333	1098	521

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Publications (27 rows)

Collaborators (26 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
ROSE: robust online self-adjusting ensemble for continual learning on imbalanced drifting data streams	0	0.34	2022
Time Series Segmentation Based on Stationarity Analysis to Improve New Samples Prediction	0	0.34	2021
Locally Linear Support Vector Machines for Imbalanced Data Classification	0	0.34	2021
Kappa Updated Ensemble for drifting data stream mining	2	0.38	2020
A general-purpose distributed pattern mining system	1	0.35	2020
Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem	1	0.35	2020
Adapted K-Nearest Neighbors for Detecting Anomalies on Spatio-Temporal Traffic Flow.	2	0.36	2019
Adaptive Ensemble Active Learning for Drifting Data Stream Mining.	1	0.35	2019
Evolving rule-based classifiers with genetic programming on GPUs for drifting data streams.	2	0.37	2019
Exploiting GPU and cluster parallelism in single scan frequent itemset mining	3	0.37	2019
A Survey on Urban Traffic Anomalies Detection Algorithms.	4	0.37	2019
Interpretable Multi-view Early Warning System adapted to Underrepresented Student Populations	1	0.36	2019
A survey on graphic processing unit computing for large-scale data mining.	7	0.47	2018
Learning Classification Rules with Differential Evolution for High-Speed Data Stream Mining on GPU s	0	0.34	2018
Online ensemble learning with abstaining classifiers for drifting and noisy data streams.	6	0.45	2018
Extremely high-dimensional optimization with MapReduce: Scaling functions and algorithm.	6	0.39	2017
Multi-objective genetic programming for feature extraction and data visualization	15	0.54	2017
An ensemble approach to multi-view multi-instance learning.	6	0.42	2017
Sentiment Classification From Multi-Class Imbalanced Twitter Data Using Binarization	2	0.41	2017
LAIM discretization for multi-label data	15	0.59	2016
Discovering useful patterns from multiple instance data.	6	0.52	2016
Speeding-Up Association Rule Mining With Inverted Index Compression.	10	0.47	2016
Early dropout prediction using data mining: a case study with high school students	16	0.67	2016
A Data Structure To Speed-Up Machine Learning Algorithms On Massive Datasets	2	0.38	2016
Speeding up multiple instance learning classification rules on GPUs.	11	0.46	2015
A Classification Module for Genetic Programming Algorithms in JCLEC	8	0.43	2015
Scalable CAIM discretization on multiple GPUs using concurrent kernels	3	0.37	2014