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journal article EST / journal article ENG

Ensemble approach for detection of depression using EEG featuresAvots, Egils; Jermakovs, Klavs; Bachmann, Maie; Päeske, Laura; Ozcinar, Cagri; Anbarjafari, GholamrezaEntropy2022 / art. 211 https://doi.org/10.3390/e24020211 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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journal article EST / journal article ENG

Improved fault classification and localization in power transmission networks using vae-generated synthetic data and machine learning algorithmsKhan, Muhammad Amir; Asad, Bilal; Vaimann, Toomas; Kallaste, Ants; Pomarnacki, Raimondas; Hyunh, Van KhangMachines2023 / art. 963 https://doi.org/10.3390/machines11100963 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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1. ensemble learning
2. an ensemble of compression methods
3. boosting ensemble method
4. ensemble approach
5. ensemble methods
6. ensemble of waves
7. model ensemble
8. multi model ensemble (MME)
9. multi-model ensemble
10. active blended learning
11. active learning
12. active learning methods
13. adversarial machine learning
14. adversarial machine-learning
15. algorithm controlling the learning process
16. appetitive associative learning
17. approach to learning
18. Attitude to learning
19. authoritarian learning
20. automata learning
21. automatic machine learning (autoML)
22. bayesian learning
23. BIM-enabled learning
24. BIM-enabled learning environment
25. blended learning
26. business school as learning organization
27. business school learning organization questionnaire (BSLOQ)
28. business school learning rate dependence on GPD
29. business school learning rate measurement instrument
30. challenge-based learning
31. client learning
32. Collaborative e-learning
33. collaborative learning
34. competence based learning
35. competence learning
36. competence-based learning
37. competency based learning
38. Component organised learning (COL)
39. computer assisted language learning
40. computer based learning
41. computer-assisted language learning (CALL)
42. cooperative reinforcement learning
43. coping with online teaching and learning
44. customer learning
45. deep learning
46. deep learning (DL)
47. deep learning classifier
48. deep learning method
49. deep learning methods
50. deep learning model
51. deep learning model quantization
52. deep learning network
53. deep reinforcement learning
54. Deep reinforcing learning SDN
55. Deep-learning
56. deep-learning (DL)
57. dictionary learning
58. digital learning module
59. digital remote learning
60. Dimensions of Learning Organisation Questionnaire (DLOQ)
61. distance learning
62. distant learning
63. distributed independent reinforcement learning
64. double Q-learning
65. effective teaching and learning
66. e-learning
67. e‐learning
68. e-Learning course
69. e-Learning database
70. e-learning environment
71. electronic learning
72. embedded deep learning
73. Emergency remote learning
74. enterprising and entrepreneurial learning
75. entrepreneurial learning
76. entrepreneurial teaching and learning
77. ESG-learning
78. experiential learning
79. Federated learning
80. federated learning (FL)
81. flexible learning
82. game based learning
83. game-based learning
84. graph machine learning
85. guided in-service learning
86. hands-on-learning
87. history learning
88. horizontal federated learning
89. human-centred learning
90. hybrid learning
91. incremental learning
92. inductive learning
93. inductive learning algorithm
94. interactive learning objects
95. interdisciplinary learning
96. interpretable machine learning
97. inverse reinforcement learning
98. investor learning
99. iterative learning
100. Kolb’s experiential learning cycle
101. language learning
102. Learner-centered learning environment
103. learning
104. learning (artificial intelligence)
105. learning activities
106. learning adaptation in autonomous vehicles
107. learning algorithm
108. learning analysis
109. learning analytics
110. learning and experimentation
111. learning and health outcomes
112. learning and memory
113. learning business school
114. learning by teaching
115. learning concept
116. learning design
117. learning difficulties
118. Learning environment
119. learning experience
120. Learning from Demonstration
121. learning infrastructures
122. Learning Lab
123. learning management
124. learning management system
125. learning management systems
126. learning methodology
127. learning metrics
128. learning models
129. learning motivation
130. learning objectives
131. learning objects
132. learning organization
133. learning orientation
134. learning outcomes
135. learning process
136. learning processes
137. learning rate
138. learning rate dependence on ownership form
139. learning rate of organization
140. learning region
141. learning situation
142. learning software agents
143. learning styles
144. learning systems
145. learning technologies
146. learning theories
147. learning through the questionnaires
148. learning university
149. learning-to-rank
150. lifelong learning
151. machine learning
152. machine learning (ML)
153. machine learning algorithms
154. machine learning approach
155. Machine Learning Explainable model
156. machine learning for environmental applications
157. machine learning models
158. machine learning systems
159. machine-learning
160. machine-learning predictive model
161. mathematics students learning habits
162. Meaningful learning
163. measuring learning
164. mobile learning
165. model learning
166. Multi-agent reinforcement learning
167. multi-task learning
168. mutual learning
169. new learning models
170. node embedding learning
171. NREN e-learning
172. on-device transfer learning
173. online learning
174. ontologies for learning systems
175. ontology learning
176. Open Learning Resources (OLR)
177. organisational learning
178. organizational learning
179. organizational learning measurement instruments
180. organizational learning rate dependence on management
181. organizational learning rate measurement
182. outcome oriented learning
183. Parkinson’s disease machine learning
184. peer‐to‐peer learning group
185. personalised learning
186. policy learning
187. problem-based learning
188. Problem-based learning (PBL)
189. project learning
190. project-based learning
191. Q-learning
192. Q-learning algorithm
193. query learning
194. regional learning
195. reinforcement learning
196. Reinforcement Learning (RL)
197. relative learning performance
198. Remote learning
199. research-oriented learning
200. reusable learning objects
201. robust machine learning
202. scholarship of teaching and learning
203. self learning software
204. self learning system
205. self-learning
206. self-regulated learning
207. semi-supervised learning
208. SIS problem, learning with errors
209. small data machine learning
210. smart learning
211. smart learning environment
212. social learning
213. stochastic learning theory
214. student centred learning
215. supervised contrastive learning
216. supervised learning
217. supervised learning data
218. supervised machine learning
219. synchronous hybrid learning
220. zero-shot learning
221. task based learning
222. team learning
223. Technological learning
224. technology-enhanced learning
225. the dimensions of the learning organisation
226. the dimensions of the learning organization questionnaire (DLOQ)
227. tools for interactive learning and teaching
228. trans-disciplinary social-learning
229. transfer learning
230. true online reinforcement learning
231. ubiquitous learning
232. unsupervised learning
233. unsupervised machine learning
234. urban learning center
235. value of learning
236. web and computerbased learning
237. Web and computer-based learning
238. virtual collaborative learning environment (VCLE)
239. virtual learning environment
240. virtual learning factory
241. work-based learning
242. workplace learning

1. ELIXIR Machine Learning Focus Group

1. UNDP Urban Learning Center

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