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

1. ELIXIR Machine Learning Focus Group

1. UNDP Urban Learning Center

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