AH 12 years later: a comprehensive survey of adaptive hypermedia methods and techniques.
- Published in:
- New Review of Hypermedia & Multimedia, 2009, v. 15, n. 1, p. 5, doi. 10.1080/13614560902801608
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- Publication type:
- Article
Works by Pechenizkiy, Mykola
Results: 19
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EEG-based classification of epilepsy and PNES: EEG microstate and functional brain network features.
- Published in:
- Brain Informatics, 2020, v. 7, n. 1, p. 1, doi. 10.1186/s40708-020-00107-z
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- Publication type:
- Article
3
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML.
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- Journal of Artificial Intelligence Research, 2024, v. 79, p. 639, doi. 10.1613/jair.1.14747
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- Publication type:
- Article
4
Foreword to the Special Issue on "New Trends in Databases and Information Systems".
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- Control & Cybernetics, 2012, v. 41, n. 4, p. 711
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- Publication type:
- Article
5
NodeSim: node similarity based network embedding for diverse link prediction.
- Published in:
- EPJ Data Science, 2022, v. 11, n. 1, p. 1, doi. 10.1140/epjds/s13688-022-00336-8
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- Publication type:
- Article
6
Efficient and effective training of sparse recurrent neural networks.
- Published in:
- Neural Computing & Applications, 2021, v. 33, n. 15, p. 9625, doi. 10.1007/s00521-021-05727-y
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- Publication type:
- Article
7
Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware.
- Published in:
- Neural Computing & Applications, 2021, v. 33, n. 7, p. 2589, doi. 10.1007/s00521-020-05136-7
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- Publication type:
- Article
8
A brain-inspired algorithm for training highly sparse neural networks.
- Published in:
- Machine Learning, 2022, v. 111, n. 12, p. 4411, doi. 10.1007/s10994-022-06266-w
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- Publication type:
- Article
9
Analyzing and repairing concept drift adaptation in data stream classification.
- Published in:
- Machine Learning, 2022, v. 111, n. 10, p. 3489, doi. 10.1007/s10994-021-05993-w
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- Publication type:
- Article
10
ResGCN: attention-based deep residual modeling for anomaly detection on attributed networks.
- Published in:
- Machine Learning, 2022, v. 111, n. 2, p. 519, doi. 10.1007/s10994-021-06044-0
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- Publication type:
- Article
11
Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders.
- Published in:
- Machine Learning, 2022, v. 111, n. 1, p. 377, doi. 10.1007/s10994-021-06063-x
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- Publication type:
- Article
12
Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions.
- Published in:
- Data Mining & Knowledge Discovery, 2022, v. 36, n. 1, p. 379, doi. 10.1007/s10618-021-00808-x
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- Publication type:
- Article
13
Adversarial balancing-based representation learning for causal effect inference with observational data.
- Published in:
- Data Mining & Knowledge Discovery, 2021, v. 35, n. 4, p. 1713, doi. 10.1007/s10618-021-00759-3
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- Publication type:
- Article
14
Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency.
- Published in:
- Data Mining & Knowledge Discovery, 2021, v. 35, n. 3, p. 796, doi. 10.1007/s10618-021-00736-w
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- Publication type:
- Article
15
Exceptional spatio-temporal behavior mining through Bayesian non-parametric modeling.
- Published in:
- Data Mining & Knowledge Discovery, 2020, v. 34, n. 5, p. 1267, doi. 10.1007/s10618-020-00674-z
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- Publication type:
- Article
16
struc2gauss: Structural role preserving network embedding via Gaussian embedding.
- Published in:
- Data Mining & Knowledge Discovery, 2020, v. 34, n. 4, p. 1072, doi. 10.1007/s10618-020-00684-x
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- Publication type:
- Article
17
Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions.
- Published in:
- Evolutionary Computation, 2021, v. 29, n. 3, p. 391, doi. 10.1162/evco_a_00286
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- Publication type:
- Article
18
Mining exceptional relationships with grammar-guided genetic programming.
- Published in:
- Knowledge & Information Systems, 2016, v. 47, n. 3, p. 571, doi. 10.1007/s10115-015-0859-y
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- Publication type:
- Article
19
Bridging learning sciences, machine learning and affective computing for understanding cognition and affect in collaborative learning.
- Published in:
- British Journal of Educational Technology, 2020, v. 51, n. 6, p. 2391, doi. 10.1111/bjet.12917
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- Publication type:
- Article