| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Adaptive semi-supervised learning from stronger augmentation transformations of discrete text information
|
Zhang, Xuemiao
|
|
|
66 |
8 |
p. 4609-4629
|
artikel
|
| 2 |
A fuzzy rough set-based horse herd optimization algorithm for map reduce framework for customer behavior data
|
Sudha, D.
|
|
|
66 |
8 |
p. 4721-4753
|
artikel
|
| 3 |
An academic recommender system on large citation data based on clustering, graph modeling and deep learning
|
Stergiopoulos, Vaios
|
|
|
66 |
8 |
p. 4463-4496
|
artikel
|
| 4 |
An approach for fuzzy group decision making and consensus measure with hesitant judgments of experts
|
Huang, Chao
|
|
|
66 |
8 |
p. 4573-4608
|
artikel
|
| 5 |
Argumentation-based multi-agent distributed reasoning in dynamic and open environments
|
Monte-Alto, Helio
|
|
|
66 |
8 |
p. 4631-4666
|
artikel
|
| 6 |
Biclustering-based multi-label classification
|
Schmitke, Luiz Rafael
|
|
|
66 |
8 |
p. 4861-4898
|
artikel
|
| 7 |
Big data in transportation: a systematic literature analysis and topic classification
|
Tzika-Kostopoulou, Danai
|
|
|
66 |
8 |
p. 5021-5046
|
artikel
|
| 8 |
CHEKG: a collaborative and hybrid methodology for engineering modular and fair domain-specific knowledge graphs
|
Angelis, Sotiris
|
|
|
66 |
8 |
p. 4899-4925
|
artikel
|
| 9 |
C22MP: the marriage of catch22 and the matrix profile creates a fast, efficient and interpretable anomaly detector
|
Tafazoli, Sadaf
|
|
|
66 |
8 |
p. 4789-4823
|
artikel
|
| 10 |
Deep graph clustering via mutual information maximization and mixture model
|
Ahmadi, Maedeh
|
|
|
66 |
8 |
p. 4549-4572
|
artikel
|
| 11 |
Dynamic bipartite network model based on structure and preference features
|
Lv, Hehe
|
|
|
66 |
8 |
p. 4527-4548
|
artikel
|
| 12 |
Efficient parameter learning for Bayesian Network classifiers following the Apache Spark Dataframes paradigm
|
Akarepis, Ioannis
|
|
|
66 |
8 |
p. 4437-4461
|
artikel
|
| 13 |
Enhancing sentiment analysis via fusion of multiple embeddings using attention encoder with LSTM
|
Soni, Jitendra
|
|
|
66 |
8 |
p. 4667-4683
|
artikel
|
| 14 |
Enhancing trust and privacy in distributed networks: a comprehensive survey on blockchain-based federated learning
|
Liu, Ji
|
|
|
66 |
8 |
p. 4377-4403
|
artikel
|
| 15 |
Ensemble multi-view feature set partitioning method for effective multi-view learning
|
Singh, Ritika
|
|
|
66 |
8 |
p. 4957-5001
|
artikel
|
| 16 |
Forecasting financial market structure from network features using machine learning
|
Castilho, Douglas
|
|
|
66 |
8 |
p. 4497-4525
|
artikel
|
| 17 |
Improving Alzheimer’s classification using a modified Borda count voting method on dynamic ensemble classifiers
|
Muhammed Niyas, K. P.
|
|
|
66 |
8 |
p. 4755-4787
|
artikel
|
| 18 |
Machine learning and deep learning models for human activity recognition in security and surveillance: a review
|
Waghchaware, Sheetal
|
|
|
66 |
8 |
p. 4405-4436
|
artikel
|
| 19 |
Misclassification-guided loss under the weighted cross-entropy loss framework
|
Wu, Yan-Xue
|
|
|
66 |
8 |
p. 4685-4720
|
artikel
|
| 20 |
Robustness verification of k-nearest neighbors by abstract interpretation
|
Fassina, Nicolò
|
|
|
66 |
8 |
p. 4825-4859
|
artikel
|
| 21 |
Semantic features analysis for biomedical lexical answer type prediction using ensemble learning approach
|
Hussain, Fiza Gulzar
|
|
|
66 |
8 |
p. 5003-5019
|
artikel
|
| 22 |
Tuning structure learning algorithms with out-of-sample and resampling strategies
|
Chobtham, Kiattikun
|
|
|
66 |
8 |
p. 4927-4955
|
artikel
|
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