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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:

Noise reduction for instance-based learning with a local maximal margin approach
Nicola Segata, Enrico Blanzieri, Sarah Jane Delany, et al.
Journal of Intelligent Information Systems (2009) Vol. 35, Iss. 2, pp. 301-331
Open Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Classification in the Presence of Label Noise: A Survey
Benoît Frénay‬, Michel Verleysen
IEEE Transactions on Neural Networks and Learning Systems (2014) Vol. 25, Iss. 5, pp. 845-869
Closed Access | Times Cited: 1549
Dealing with Noise Problem in Machine Learning Data-sets: A Systematic Review
Shivani Gupta, Atul Gupta
Procedia Computer Science (2019) Vol. 161, pp. 466-474
Open Access | Times Cited: 239
Data preprocessing in predictive data mining
Stamatios-Aggelos N. Alexandropoulos, Sotiris Kotsiantis, Michael N. Vrahatis
The Knowledge Engineering Review (2019) Vol. 34
Closed Access | Times Cited: 153
Fast and Scalable Local Kernel Machines
Nicola Segata, Enrico Blanzieri
Journal of Machine Learning Research (2010) Vol. 11, Iss. 64, pp. 1883-1926
Closed Access | Times Cited: 81
A Comprehensive Introduction to Label Noise
Benoît Frénay‬, Ata Kabán
The European Symposium on Artificial Neural Networks (2014)
Closed Access | Times Cited: 66
Adaptive case-based reasoning using retention and forgetting strategies
María Salamó, Maite López-Sánchez
Knowledge-Based Systems (2010) Vol. 24, Iss. 2, pp. 230-247
Closed Access | Times Cited: 52
A review of addressing class noise problems of remote sensing classification
Wei Feng, Yijun Long, Shuo Wang, et al.
Journal of Systems Engineering and Electronics (2023) Vol. 34, Iss. 1, pp. 36-46
Open Access | Times Cited: 10
A label noise filtering method for regression based on adaptive threshold and noise score
Chuang Li, Zhizhong Mao
Expert Systems with Applications (2023) Vol. 228, pp. 120422-120422
Closed Access | Times Cited: 9
How false data affects machine learning models in electrochemistry?
Krittapong Deshsorn, Luckhana Lawtrakul, Pawin Iamprasertkun
Journal of Power Sources (2024) Vol. 597, pp. 234127-234127
Open Access | Times Cited: 3
Profiling instances in noise reduction
Sarah Jane Delany, Nicola Segata, Brian Mac Namee
Knowledge-Based Systems (2012) Vol. 31, pp. 28-40
Open Access | Times Cited: 30
BLOSS: Effective meta-blocking with almost no effort
Guilherme Dal Bianco, Marcos André Gonçalves, Denio Duarte
Information Systems (2018) Vol. 75, pp. 75-89
Closed Access | Times Cited: 25
Feature selection and support vector machine hyper-parameter optimisation for spam detection
Melvin Diale, Christiaan Van Der Walt, Turgay Çelik, et al.
(2016), pp. 1-7
Closed Access | Times Cited: 24
Label Error Correction and Generation through Label Relationships
Zijun Cui, Yong Zhang, Qiang Ji
Proceedings of the AAAI Conference on Artificial Intelligence (2020) Vol. 34, Iss. 04, pp. 3693-3700
Open Access | Times Cited: 21
Modelling a stable classifier for handling large scale data with noise and imbalance
Akila Somasundaram, U. Srinivasulu Reddy
(2017), pp. 1-6
Closed Access | Times Cited: 21
A Scalable Noise Reduction Technique for Large Case-Based Systems
Nicola Segata, Enrico Blanzieri, Pádraig Cunningham
Lecture notes in computer science (2009), pp. 328-342
Closed Access | Times Cited: 23
Partial instance reduction for noise elimination
Mona Jamjoom, Khalil El Hindi
Pattern Recognition Letters (2016) Vol. 74, pp. 30-37
Closed Access | Times Cited: 17
Finding label noise examples in large scale datasets
Rajmadhan Ekambaram, Dmitry B. Goldgof, Lawrence Hall
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2017), pp. 2420-2424
Closed Access | Times Cited: 17
Dealing with Noisy Data
Salvador García, Julián Luengo, Francisco Herrera
Intelligent systems reference library (2014), pp. 107-145
Closed Access | Times Cited: 16
Instance Selection
Salvador García, Julián Luengo, Francisco Herrera
Intelligent systems reference library (2014), pp. 195-243
Closed Access | Times Cited: 14
Software Defect Prediction Using Static Code Metrics: Formulating a Methodology
David Philip Harry Gray
(2013)
Closed Access | Times Cited: 14
Efficient editing and data abstraction by finding homogeneous clusters
Stefanos Ougiaroglou, Georgios Evangelidis
Annals of Mathematics and Artificial Intelligence (2015) Vol. 76, Iss. 3-4, pp. 327-349
Closed Access | Times Cited: 13
Reputation-Based Maintenance in Case-Based Reasoning
Nariman Nakhjiri, María Salamó, Miquel Sànchez‐Marrè
Knowledge-Based Systems (2019) Vol. 193, pp. 105283-105283
Open Access | Times Cited: 12
Small margin ensembles can be robust to class-label noise
Maryam Sabzevari, Gonzalo Martínez-Muñoz, Alberto Suárez
Neurocomputing (2015) Vol. 160, pp. 18-33
Open Access | Times Cited: 9
FaLKM-lib v1.0: A Library for Fast Local Kernel Machines
Nicola Segata
(2009)
Closed Access | Times Cited: 11
Operators for transforming kernels into quasi-local kernels that improve SVM accuracy
Nicola Segata, Enrico Blanzieri
Journal of Intelligent Information Systems (2010) Vol. 37, Iss. 2, pp. 155-186
Closed Access | Times Cited: 8
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