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

1. ELIXIR Machine Learning Focus Group

1. UNDP Urban Learning Center

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