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journal article

An advanced diagnostic approach for broken rotor bar detection and classification in DTC controlled induction motors by leveraging dynamic SHAP interaction feature selection (DSHAP-IFS) GBDT methodologyKhan, Muhammad Amir; Asad, Bilal; Vaimann, Toomas; Kallaste, AntsMachines2024 / art. 495 https://doi.org/10.3390/machines12070495

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book article

An efficient assistance in cavity filter tuning using filter screw classificationSekhri, Even; Tamre, Mart; Kapoor, RajivAdvances in artificial-business analytics and quantum machine learning : select proceedings of the 3rd international conference, Com-IT-Con 2023, volume 12024 / p. 791-799 https://doi.org/10.1007/978-981-97-2508-3_58

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book article EST / book article ENG

Mobile phone usage data for credit scoringOts, Henri; Liiv, Innar; Tur, DianaDatabases and Information Systems : 14th International Baltic Conference, DB&IS 2020, Tallinn, Estonia, June 16-19, 2020 : Proceedings2020 / p. 82-95 https://doi.org/10.1007/978-3-030-57672-1_7 Conference proceeding at Scopus Article at Scopus

book article EST / book article ENG
4

journal article EST / journal article ENG

Stream clustering guided supervised learning for classifying NIDS alertsVaarandi, Risto; Guerra Manzanares, AlejandroFuture generation computer systems2024 / p. 231-244 : ill https://doi.org/10.1016/j.future.2024.01.032 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

journal article EST / journal article ENG
5

book article

Towards artificial intelligence driven immersive environments in virtual reality for industrial applicationsAlsaleh, Saleh Ragheb Saleh; Tepljakov, Aleksei; Tamre, Mart; Petlenkov, Eduard44th International Conference on Telecommunications and Signal Processing (TSP)2021 / p. 340-345 https://doi.org/10.1109/TSP52935.2021.9522676

book article
Related publications 1
- Digital twin based computational methods for XR applications = Digitaalkaksikute põhised arvutuslikud meetodid XR rakenduste jaoks
6

book article EST / book article ENG

Virtual reality meets intelligence in large scale architectureKöse, Ahmet; Petlenkov, Eduard; Tepljakov, Aleksei; Vassiljeva, KristinaAugmented Reality, Virtual Reality, and Computer Graphics : 4th International Conference, AVR 2017, Ugento, Italy, June 12-15, 2017 : proceedings. Part II2017 / p. 297-309 : ill https://doi.org/10.1007/978-3-319-60928-7_26 Conference proceedings at Scopus Article at Scopus Article at WOS

book article EST / book article ENG

Number of records 6, displaying 1 - 6

1. semi-supervised learning
2. supervised learning
3. supervised learning data
4. supervised contrastive learning
5. supervised machine learning
6. unsupervised learning
7. unsupervised machine learning
8. weakly supervised training
9. active blended learning
10. active learning
11. active learning methods
12. adversarial machine learning
13. adversarial machine-learning
14. algorithm controlling the learning process
15. appetitive associative learning
16. approach to learning
17. Attitude to learning
18. authoritarian learning
19. automata learning
20. automatic machine learning (autoML)
21. bayesian learning
22. BIM-enabled learning
23. BIM-enabled learning environment
24. blended learning
25. business school as learning organization
26. business school learning organization questionnaire (BSLOQ)
27. business school learning rate dependence on GPD
28. business school learning rate measurement instrument
29. challenge-based learning
30. client learning
31. Collaborative e-learning
32. collaborative learning
33. competence based learning
34. competence learning
35. competence-based learning
36. competency based learning
37. Component organised learning (COL)
38. computer assisted language learning
39. computer based learning
40. computer-assisted language learning (CALL)
41. cooperative reinforcement learning
42. coping with online teaching and learning
43. customer learning
44. deep learning
45. deep learning (DL)
46. deep learning classifier
47. deep learning method
48. deep learning methods
49. deep learning model
50. deep learning model quantization
51. deep learning network
52. deep reinforcement learning
53. Deep reinforcing learning SDN
54. Deep-learning
55. deep-learning (DL)
56. dictionary learning
57. digital learning module
58. digital remote learning
59. Dimensions of Learning Organisation Questionnaire (DLOQ)
60. distance learning
61. distant learning
62. distributed independent reinforcement learning
63. double Q-learning
64. effective teaching and learning
65. e-learning
66. e‐learning
67. e-Learning course
68. e-Learning database
69. e-learning environment
70. electronic learning
71. embedded deep learning
72. Emergency remote learning
73. ensemble 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. long-short term learning
152. machine learning
153. machine learning (ML)
154. machine learning algorithms
155. machine learning approach
156. Machine Learning Explainable model
157. machine learning for environmental applications
158. machine learning models
159. machine learning systems
160. machine-learning
161. machine-learning predictive model
162. mathematics students learning habits
163. Meaningful learning
164. measuring learning
165. mobile learning
166. model learning
167. Multi-agent reinforcement learning
168. multi-task learning
169. mutual learning
170. new learning models
171. node embedding learning
172. NREN e-learning
173. on-device transfer learning
174. online learning
175. ontologies for learning systems
176. ontology learning
177. Open Learning Resources (OLR)
178. organisational learning
179. organizational learning
180. organizational learning measurement instruments
181. organizational learning rate dependence on management
182. organizational learning rate measurement
183. outcome oriented learning
184. Parkinson’s disease machine learning
185. peer‐to‐peer learning group
186. personalised learning
187. policy learning
188. problem-based learning
189. Problem-based learning (PBL)
190. project learning
191. project-based learning
192. Q-learning
193. Q-learning algorithm
194. query learning
195. regional learning
196. reinforcement learning
197. Reinforcement Learning (RL)
198. relative learning performance
199. Remote learning
200. research-oriented learning
201. reusable learning objects
202. robust machine learning
203. scholarship of teaching and learning
204. self learning software
205. self learning system
206. self-learning
207. self-regulated 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. synchronous hybrid learning
216. zero-shot learning
217. task based learning
218. team learning
219. Technological learning
220. technology-enhanced learning
221. the dimensions of the learning organisation
222. the dimensions of the learning organization questionnaire (DLOQ)
223. tools for interactive learning and teaching
224. trans-disciplinary social-learning
225. transfer learning
226. true online reinforcement learning
227. ubiquitous learning
228. urban learning center
229. value of learning
230. web and computerbased learning
231. Web and computer-based learning
232. virtual collaborative learning environment (VCLE)
233. virtual learning environment
234. virtual learning factory
235. work-based learning
236. workplace learning

1. ELIXIR Machine Learning Focus Group

1. UNDP Urban Learning Center

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