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Deep-learning (võtmesõna)

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Kirjeid leitud 7
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ekspordi kõik päringu tulemused (7)
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1

artikkel kogumikus

Explaining the decisions of deep learning models for load disaggregation (NILM) based on XAIMachlev, Ram; Malka, Asaf; Perl, Michael; Levron, Yoash; Belikov, Juri2022 IEEE Power & Energy Society General Meeting (PESGM)2022 / art. 183865 , p. 1-5 : ill https://doi.org/10.1109/PESGM48719.2022.9917049

artikkel kogumikus
2

artikkel ajakirjas EST / artikkel ajakirjas ENG

Neural Architecture Search (NAS) for designing optimal power quality disturbance classifiersWang, Qianchao; Kapuza, Itamar; Baimel, Dmitry; Belikov, Juri; Levron, Yoash; Machlev, RamElectric Power Systems Research2023 / art. 109574 https://doi.org/10.1016/j.epsr.2023.109574 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
3

artikkel ajakirjas EST / artikkel ajakirjas ENG

Open source dataset generator for power quality disturbances with deep-learning reference classifiersMachlev, Ram; Chachkes, A.; Belikov, Juri; Beck, Yuval; Levron, YoashElectric power systems research2021 / art. 107152, 7 p. : ill https://doi.org/10.1016/j.epsr.2021.107152 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
4

artikkel ajakirjas EST / artikkel ajakirjas ENG

PF-FEDG : an open-source data generator for frequency disturbance event detection with deep-learning reference classifiersSun, Zhenglong; Ram, Machlev; Jiang, Chao; Wang, Qianchao; Perl, Michael; Belikov, Juri; Levron, YoashEnergy reports2023 / p. 397-413 https://doi.org/10.1016/j.egyr.2022.11.182 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
5

artikkel ajakirjas EST / artikkel ajakirjas ENG

A public dataset for synchronous motor electrical faults diagnosis with CNN and LSTM reference classifiersSun, Zhenglong; Machlev, Ram; Wang, Qianchao; Belikov, Juri; Levron, Yoash; Baimel, DmitryEnergy and AI2023 / art. 100274, 17 p https://doi.org/10.1016/j.egyai.2023.100274 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
6

artikkel ajakirjas EST / artikkel ajakirjas ENG

Stacking deep-learning model, stories and drawing properties for automatic scene generationElloumi, Samir; Bignoumba, NzambaInternational journal of advanced computer science and applications2023 / p. 894-911 https://doi.org/10.14569/IJACSA.2023.0140197 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
7

artikkel kogumikus EST / artikkel kogumikus ENG

Universal XR framework architecture based on open-source XR toolsBondarenko, Yevhen; Kuts, Vladimir; Pizzagalli, Simone Luca; Nutonen, Karle; Murray, Niall; O’Connell, EoinXR and metaverse : proceedings of the 8th international XR-metaverse conference 2023, Las Vegas, USA2024 / p. 87-98 https://doi.org/10.1007/978-3-031-50559-1_7 Conference proceedings at Scopus Article at Scopus Article at WOS

artikkel kogumikus EST / artikkel kogumikus ENG

Kirjeid leitud 7, kuvan 1 - 7

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

1. ELIXIR Machine Learning Focus Group

1. UNDP Urban Learning Center

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