Kamu erişimi zorunlu olan makaleler - Mykola PechenizkiyDaha fazla bilgi edinin
Hiçbir yerde sunulmuyor: 6
Combining diverse meta-features to accurately identify recurring concept drift in data streams
B Halstead, YS Koh, P Riddle, M Pechenizkiy, A Bifet
ACM Transactions on Knowledge Discovery from Data 17 (8), 1-36, 2023
Zorunlu olanlar: Ministry of Business Innovation and Employment
Structural measures of clustering quality on graph samples
J Zhang, Y Pei, GHL Fletcher, M Pechenizkiy
2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016
Zorunlu olanlar: National Natural Science Foundation of China, Netherlands Organisation for …
SmartCHANGE: AI-based long-term health risk evaluation for driving behaviour change strategies in children and youth
N Reščič, J Alberts, TM Altenburg, MJM Chinapaw, A De Nigro, ...
2023 International Conference on Applied Mathematics & Computer Science …, 2023
Zorunlu olanlar: European Commission
Fall: A modular adaptive learning platform for streaming data
B Halstead, YS Koh, P Riddle, M Pechenizkiy, A Bifet
2023 IEEE 39th International Conference on Data Engineering (ICDE), 3619-3622, 2023
Zorunlu olanlar: Ministry of Business Innovation and Employment
Adaptive long-term ensemble learning from multiple high-dimensional time-series
S Khoshrou, M Pechenizkiy
Discovery Science: 22nd International Conference, DS 2019, Split, Croatia …, 2019
Zorunlu olanlar: Netherlands Organisation for Scientific Research
Subgroup Harm Assessor: Identifying Potential Fairness-Related Harms and Predictive Bias
A Dubowski, H Weerts, A Wolters, M Pechenizkiy
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024
Zorunlu olanlar: European Commission
Bir yerde sunuluyor: 48
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
S Liu, T Chen, X Chen, Z Atashgahi, L Yin, H Kou, L Shen, M Pechenizkiy, ...
NeurIPS 2021, arXiv preprint arXiv:2106.10404, 2021
Zorunlu olanlar: Netherlands Organisation for Scientific Research
Bridging learning sciences, machine learning and affective computing for understanding cognition and affect in collaborative learning
S Järvelä, D Gašević, T Seppänen, M Pechenizkiy, PA Kirschner
British Journal of Educational Technology 51 (6), 2391-2406, 2020
Zorunlu olanlar: Academy of Finland
ResGCN: Attention-based deep residual modeling for anomaly detection on attributed networks
Y Pei, T Huang, W van Ipenburg, M Pechenizkiy
Machine Learning; arXiv preprint arXiv:2009.14738, 2020
Zorunlu olanlar: Netherlands Organisation for Scientific Research
Apriori versions based on mapreduce for mining frequent patterns on big data
JM Luna, F Padillo, M Pechenizkiy, S Ventura
IEEE transactions on cybernetics 48 (10), 2851-2865, 2017
Zorunlu olanlar: Government of Spain
Controlling the accuracy and uncertainty trade-off in RUL prediction with a surrogate Wiener propagation model
Y Deng, A Di Bucchianico, M Pechenizkiy
Reliability Engineering & System Safety 196, 106727, 2020
Zorunlu olanlar: National Natural Science Foundation of China, European Commission
Speeding-up association rule mining with inverted index compression
JM Luna, A Cano, M Pechenizkiy, S Ventura
IEEE transactions on cybernetics 46 (12), 3059-3072, 2016
Zorunlu olanlar: Government of Spain
ReliefF-MI: An extension of ReliefF to multiple instance learning
A Zafra, M Pechenizkiy, S Ventura
Neurocomputing 75 (1), 210-218, 2012
Zorunlu olanlar: Government of Spain
Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders
Z Atashgahi, G Sokar, T van der Lee, E Mocanu, DC Mocanu, R Veldhuis, ...
Machine Learning, Special Issue ECMLPKDD 2022 Journal Track 111, 377–414, 2022
Zorunlu olanlar: Netherlands Organisation for Scientific Research
Mining context-aware association rules using grammar-based genetic programming
JM Luna, M Pechenizkiy, MJ Del Jesus, S Ventura
IEEE transactions on cybernetics 48 (11), 3030-3044, 2017
Zorunlu olanlar: Government of Spain
Topological Insights into Sparse Neural Networks
S Liu, TT van der Lee, A Yaman, Z Atashgahi, D Ferrar, G Sokar, ...
ECMLPKDD 2020: Joint European Conference on Machine Learning and Knowledge …, 2020
Zorunlu olanlar: Netherlands Organisation for Scientific Research
Dynamic Sparse Network for Time Series Classification: Learning What to “See”
Q Xiao, B Wu, Y Zhang, S Liu, M Pechenizkiy, E Mocanu, DC Mocanu
Advances in Neural Information Processing Systems (NeurIPS 2022), 2022
Zorunlu olanlar: Netherlands Organisation for Scientific Research
Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision Tree
H Weerts, R Xenidis, F Tarissan, HP Olsen, M Pechenizkiy
FAccT 2023 (arXiv preprint arXiv:2305.13938), 2023
Zorunlu olanlar: European Commission
Evolving plasticity for autonomous learning under changing environmental conditions
A Yaman, G Iacca, DC Mocanu, M Coler, G Fletcher, M Pechenizkiy
Evolutionary computation 29 (3), 391-414, 2021
Zorunlu olanlar: European Commission
HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning
A Zafra, M Pechenizkiy, S Ventura
Information sciences 222, 282-301, 2013
Zorunlu olanlar: Government of Spain
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