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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 content
117. learning design
118. learning difficulties
119. Learning environment
120. learning experience
121. Learning from Demonstration
122. learning infrastructures
123. Learning Lab
124. learning management
125. learning management system
126. learning management systems
127. learning methodology
128. learning metrics
129. learning models
130. learning motivation
131. learning objectives
132. learning objects
133. learning organization
134. learning orientation
135. learning outcomes
136. learning process
137. learning processes
138. learning rate
139. learning rate dependence on ownership form
140. learning rate of organization
141. learning region
142. learning situation
143. learning software agents
144. learning styles
145. learning systems
146. learning technologies
147. learning theories
148. learning through the questionnaires
149. learning university
150. learning-to-rank
151. lifelong learning
152. long-short term learning
153. machine learning
154. machine learning (ML)
155. machine learning algorithms
156. machine learning approach
157. Machine Learning Explainable model
158. machine learning for environmental applications
159. machine learning models
160. machine learning systems
161. machine-learning
162. machine-learning predictive model
163. mathematics students learning habits
164. Meaningful learning
165. measuring learning
166. mobile learning
167. model learning
168. Multi-agent reinforcement learning
169. multi-task learning
170. mutual learning
171. new learning models
172. node embedding learning
173. NREN e-learning
174. on-device transfer learning
175. online learning
176. ontologies for learning systems
177. ontology learning
178. Open Learning Resources (OLR)
179. organisational learning
180. organizational learning
181. organizational learning measurement instruments
182. organizational learning rate dependence on management
183. organizational learning rate measurement
184. outcome oriented learning
185. Parkinson’s disease machine learning
186. peer‐to‐peer learning group
187. personalised learning
188. policy learning
189. problem-based learning
190. Problem-based learning (PBL)
191. project learning
192. project-based learning
193. Q-learning
194. Q-learning algorithm
195. query learning
196. regional learning
197. reinforcement learning
198. Reinforcement Learning (RL)
199. relative learning performance
200. Remote learning
201. research-oriented learning
202. reusable learning objects
203. robust machine learning
204. scholarship of teaching and learning
205. self learning software
206. self learning system
207. self-learning
208. self-regulated learning
209. semi-supervised learning
210. sequence of learning activities
211. SIS problem, learning with errors
212. small data machine learning
213. smart learning
214. smart learning environment
215. social learning
216. stochastic learning theory
217. student centred learning
218. supervised contrastive learning
219. supervised learning
220. supervised learning data
221. supervised machine learning
222. synchronous hybrid learning
223. zero-shot learning
224. task based learning
225. team learning
226. Technological learning
227. technology-enhanced learning
228. the dimensions of the learning organisation
229. the dimensions of the learning organization questionnaire (DLOQ)
230. tools for interactive learning and teaching
231. trans-disciplinary social-learning
232. transfer learning
233. true online reinforcement learning
234. ubiquitous learning
235. unsupervised learning
236. unsupervised machine learning
237. urban learning center
238. value of learning
239. web and computerbased learning
240. Web and computer-based learning
241. virtual collaborative learning environment (VCLE)
242. virtual learning environment
243. virtual learning factory
244. work-based learning
245. workplace learning

1. ELIXIR Machine Learning Focus Group

1. UNDP Urban Learning Center

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