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Wiering, Marco A.
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1

Active Learning for Reducing Labeling Effort in Text Classi..:

, In: Communications in Computer and Information Science; Artificial Intelligence and Machine Learning,
Jacobs, Pieter Floris ; Maillette de Buy Wenniger, Gideon ; Wiering, Marco. - p. 3-29 , 2022
Link: https://doi.org/10.1007/..
 
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2

Deep Learning for Identification of Acute Illness and Facia..:

Forte, Castela ; Voinea, Andrei ; Chichirau, Malina...
Frontiers in Medicine.  8 (2021)  - p. , 2021
Link: https://doi.org/10.3389/..
 
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3

Two-stage visual navigation by deep neural networks and mul..:

Shantia, Amirhossein ; Timmers, Rik ; Chong, Yiebo...
Robotics and Autonomous Systems.  138 (2021)  - p. 103731 , 2021
Link: https://doi.org/10.1016/..
 
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4

Explainable Reinforcement Learning with the Tsetlin Machine:

, In: Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices; Lecture Notes in Computer Science,
Rahimi Gorji, Saeed ; Granmo, Ole-Christoffer ; Wiering, Marco - p. 173-187 , 2021
Link: https://doi.org/10.1007/..
 
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5

Ensemble machine learning prediction and variable importanc..:

Castela Forte, José ; Mungroop, Hubert E. ; de Geus, Fred...
Scientific Reports.  11 (2021)  1 - p. , 2021
Link: https://doi.org/10.1038/..
 
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6

CentroidNetV2: A hybrid deep neural network for small-objec..:

Dijkstra, Klaas ; van de Loosdrecht, Jaap ; Atsma, Waatze A...
Neurocomputing.  423 (2021)  - p. 490-505 , 2021
Link: https://doi.org/10.1016/..
 
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7

Semantic Preserving Siamese Autoencoder for Binary Quantiza..:

, In: 2021 5th International Conference on Natural Language Processing and Information Retrieval (NLPIR),
Mostard, Wouter ; Schomaker, Lambert ; Wiering, Marco - p. 30-38 , 2021
Link: https://dl.acm.org/doi/1..
 
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8

Identifying and characterizing high-risk clusters in a hete..:

Castela Forte, José ; Yeshmagambetova, Galiya ; van der Grinten, Maureen L....
Scientific Reports.  11 (2021)  1 - p. , 2021
Link: https://doi.org/10.1038/..
 
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9

Artificial Intelligence Approach for Seismic Control of Str..:

Radmard Rahmani, Hamid , 2020
Link: https://nbn-resolving.de..
 
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10

Machine Learning for Digital Twins to Predict Responsivenes..:

, In: 2020 8th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems,
Snijders, Ron ; Pileggi, Paolo ; Broekhuijsen, Jeroen... - p. 1-6 , 2020
Link: https://doi.org/10.1109/..
 
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11

The Deep Quality-Value Family of Deep Reinforcement Learnin..:

, In: 2020 International Joint Conference on Neural Networks (IJCNN),
Sabatelli, Matthia ; Louppe, Gilles ; Geurts, Pierre. - p. 1-8 , 2020
Link: https://doi.org/10.1109/..
 
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12

Forest Fire Control with Learning from Demonstration and Re..:

, In: 2020 International Joint Conference on Neural Networks (IJCNN),
Hammond, Travis ; Schaap, Dirk Jelle ; Sabatelli, Matthia. - p. 1-8 , 2020
Link: https://doi.org/10.1109/..
 
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13

One-vs-One classification for deep neural networks:

Pawara, Pornntiwa ; Okafor, Emmanuel ; Groefsema, Marc...
Pattern Recognition.  108 (2020)  - p. 107528 , 2020
Link: https://doi.org/10.1016/..
 
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14

Deep Learning with Data Augmentation for Fruit Counting:

, In: Artificial Intelligence and Soft Computing; Lecture Notes in Computer Science,
Pawara, Pornntiwa ; Boshchenko, Alina ; Schomaker, Lambert R. B.. - p. 203-214 , 2020
Link: https://doi.org/10.1007/..
 
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15

A Bayesian Network Analysis of the Diagnostic Process and i..:

Kaufmann, Thomas ; Castela Forte, José ; Hiemstra, Bart...
JMIR Medical Informatics.  7 (2019)  4 - p. e15358 , 2019
Link: https://doi.org/10.2196/..
 
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