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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

IMPROVED ADAPTIVE SPLITTING AND SELECTION: THE HYBRID TRAINING METHOD OF A CLASSIFIER BASED ON A FEATURE SPACE PARTITIONING
Konrad Jackowski, Bartosz Krawczyk, Michał Woźniak
International Journal of Neural Systems (2014) Vol. 24, Iss. 03, pp. 1430007-1430007
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Android based malware detection using a multifeature collaborative decision fusion approach
Shina Sheen, R. Anitha, V. Natarajan
Neurocomputing (2014) Vol. 151, pp. 905-912
Closed Access | Times Cited: 112
Reduction of Delay in Detecting Initial Dips from Functional Near-Infrared Spectroscopy Signals Using Vector-Based Phase Analysis
Keum‐Shik Hong, Noman Naseer
International Journal of Neural Systems (2016) Vol. 26, Iss. 03, pp. 1650012-1650012
Closed Access | Times Cited: 109
Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams
Paweł Zyblewski, Robert Sabourin, Michał Woźniak
Information Fusion (2020) Vol. 66, pp. 138-154
Closed Access | Times Cited: 87
Fault diagnosis of marine 4-stroke diesel engines using a one-vs-one extreme learning ensemble
Jerzy Kowalski, Bartosz Krawczyk, Michał Woźniak
Engineering Applications of Artificial Intelligence (2016) Vol. 57, pp. 134-141
Closed Access | Times Cited: 76
Discrimination of Schizophrenia Auditory Hallucinators by Machine Learning of Resting-State Functional MRI
Darya Chyzhyk, Manuel Graña, Döst Öngür, et al.
International Journal of Neural Systems (2015) Vol. 25, Iss. 03, pp. 1550007-1550007
Open Access | Times Cited: 63
Ensemble classification for imbalanced data based on feature space partitioning and hybrid metaheuristics
Pedro López-García, Antonio D. Masegosa, Eneko Osaba, et al.
Applied Intelligence (2019) Vol. 49, Iss. 8, pp. 2807-2822
Closed Access | Times Cited: 43
Fuzzy rule based classification systems for big data with MapReduce: granularity analysis
Alberto Fernández, Sara del Río, Abdullah Bawakid, et al.
Advances in Data Analysis and Classification (2016) Vol. 11, Iss. 4, pp. 711-730
Closed Access | Times Cited: 44
Beta Hebbian Learning as a New Method for Exploratory Projection Pursuit
Héctor Quintián, Emilio Corchado
International Journal of Neural Systems (2017) Vol. 27, Iss. 06, pp. 1750024-1750024
Closed Access | Times Cited: 34
Classifier Selection for Highly Imbalanced Data Streams with Minority Driven Ensemble
Paweł Zyblewski, Paweł Ksieniewicz, Michał Woźniak
Lecture notes in computer science (2019), pp. 626-635
Closed Access | Times Cited: 26
A survey of evolutionary algorithms for supervised ensemble learning
Henry E. L. Cagnini, Silvia Cristina Nunes das Dores, Alex A. Freitas, et al.
The Knowledge Engineering Review (2023) Vol. 38
Open Access | Times Cited: 8
High-Density Liquid-State Machine Circuitry for Time-Series Forecasting
Josep L. Rosselló, Miquel L. Alomar, Antoni Morro, et al.
International Journal of Neural Systems (2015) Vol. 26, Iss. 05, pp. 1550036-1550036
Closed Access | Times Cited: 26
Untrained weighted classifier combination with embedded ensemble pruning
Bartosz Krawczyk, Michał Woźniak
Neurocomputing (2016) Vol. 196, pp. 14-22
Closed Access | Times Cited: 24
APPLICATIONS OF GRAVITATIONAL SEARCH ALGORITHM IN ENGINEERING
Nazmul Siddique, Hojjat Adeli
Journal of Civil Engineering and Management (2016) Vol. 22, Iss. 8, pp. 981-990
Open Access | Times Cited: 20
A CLUSTER MERGING METHOD FOR TIME SERIES MICROARRAY WITH PRODUCTION VALUES
Camelia Chira, Javier Sedano, Mónica Cámara, et al.
International Journal of Neural Systems (2014) Vol. 24, Iss. 06, pp. 1450018-1450018
Closed Access | Times Cited: 17
Ensemble of Extreme Learning Machines with trained classifier combination and statistical features for hyperspectral data
Paweł Ksieniewicz, Bartosz Krawczyk, Michał Woźniak
Neurocomputing (2017) Vol. 271, pp. 28-37
Closed Access | Times Cited: 17
Ensembles of Heterogeneous Concept Drift Detectors - Experimental Study
Michał Woźniak, Paweł Ksieniewicz, Bogusław Cyganek, et al.
Lecture notes in computer science (2016), pp. 538-549
Open Access | Times Cited: 14
One-class classification – From theory to practice: A case-study in radioactive threat detection
Colin Bellinger, Shiven Sharma, Nathalie Japkowicz
Expert Systems with Applications (2018) Vol. 108, pp. 223-232
Closed Access | Times Cited: 11
Static Classifier Selection with Interval Weights of Base Classifiers
Robert Burduk, Krzysztof Walkowiak
Lecture notes in computer science (2015), pp. 494-502
Closed Access | Times Cited: 9
A hybrid approach for brain image registration with local constraints
Wei‐Yen Hsu
Integrated Computer-Aided Engineering (2016) Vol. 24, Iss. 1, pp. 73-85
Closed Access | Times Cited: 9
A Two-Stage Combining Classifier Model for the Development of Adaptive Dialog Systems
David Griol, José Antonio Iglesias, Agapito Ledezma, et al.
International Journal of Neural Systems (2015) Vol. 26, Iss. 01, pp. 1650002-1650002
Open Access | Times Cited: 8
Integration Base Classifiers Based on Their Decision Boundary
Robert Burduk
Lecture notes in computer science (2017), pp. 13-20
Closed Access | Times Cited: 8
Dynamic Ensemble Selection Using Discriminant Functions and Normalization Between Class Labels – Approach to Binary Classification
Robert Burduk, Paulina Baczyńska
Lecture notes in computer science (2016), pp. 563-570
Closed Access | Times Cited: 5
Anticipative Hybrid Extreme Rotation Forest
Borja Ayerdi, Manuel Graña
Procedia Computer Science (2016) Vol. 80, pp. 1671-1681
Open Access | Times Cited: 4
Selecting local ensembles for multi-class imbalanced data classification
Bartosz Krawczyk, Alberto Cano, Michał Woźniak
2022 International Joint Conference on Neural Networks (IJCNN) (2018), pp. 1-8
Closed Access | Times Cited: 5
Ensemble Selection Based on Discriminant Functions in Binary Classification Task
Paulina Baczyńska, Robert Burduk
Lecture notes in computer science (2015), pp. 61-68
Closed Access | Times Cited: 3
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