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machine learning (ML) (võtmesõna)

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Kirjeid leitud 63
Vaata veel.. (3/322)
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ekspordi kõik päringu tulemused (63)
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51

artikkel ajakirjas EST / artikkel ajakirjas ENG

A survey on AI and decision support systems in psychiatry – Uncovering a dilemmaBertl, Markus; Ross, Peeter; Draheim, DirkExpert Systems with Applications2022 / art. 117464, 14 p. : ill https://doi.org/10.1016/j.eswa.2022.117464 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
Seotud publikatsioonid 1
- Systematic AI support for psychiatry : a framework on how to implement decision support systems = Tehisintellekti süstemaatiline kasutamine psühhiaatrias : otsustustoe rakendamist toetav raamistik
52

artikkel ajakirjas EST / artikkel ajakirjas ENG

A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemicRasheed, Jawad; Jamil, Akhtar; Draheim, DirkChaos, solitons & fractals2020 / art. 110337, 17 p https://doi.org/10.1016/j.chaos.2020.110337 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
53

artikkel ajakirjas EST / artikkel ajakirjas ENG

Systematic AI support for decision-making in the healthcare sector : obstacles and success factorsBertl, Markus; Ross, Peeter; Draheim, DirkHealth policy and technology2023 / art. 100748, 8 p. : ill https://doi.org/10.1016/j.hlpt.2023.100748 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
Seotud publikatsioonid 1
- Systematic AI support for psychiatry : a framework on how to implement decision support systems = Tehisintellekti süstemaatiline kasutamine psühhiaatrias : otsustustoe rakendamist toetav raamistik
54

artikkel ajakirjas EST / artikkel ajakirjas ENG

The gender wealth gap in Europe: Application of machine learning to predict individual-level wealthKukk, Merike; Meriküll, Jaanika; Rõõm, TairiReview of income and wealth2023 / p. 289 - 317 https://doi.org/10.1111/roiw.12596 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
55

artikkel kogumikus

The validation of graph model-based, gate level low-dimensional feature data for machine learning applicationsBalakrishnan, Aneesh; Lange, Thomas; Glorieux, Maximilien; Alexandrescu, Dan; Jenihhin, Maksim2019 IEEE Nordic Circuits and Systems Conference (NORCAS) : NORCHIP and International Symposium of System-on-Chip (SoC), 29-30 October 2019, Helsinki, Finland : proceedings in IEEE Xplore2019 / 7 p https://doi.org/10.1109/NORCHIP.2019.8906974

artikkel kogumikus
Seotud publikatsioonid 1
- A synthetic, hierarchical approach for modelling and managing complex systems' quality and reliability = Sünteetiline, hierarhiline lähenemine keerukate süsteemide kvaliteedi ja töökindluse modelleerimiseks ja haldamiseks
56

artikkel kogumikus

Using machine learning algorithms to form an automatic student’s grade based on the sets of assessment questionsShvets, Oleg; Kuzmina, Jelena; Murtazin, Kristina; Piho, Gunnar; Meeter, MartijnINTED2023 Proceedings2023 / p. 1066-1074 https://doi.org/10.21125/inted.2023.0319

artikkel kogumikus
57

artikkel kogumikus EST / artikkel kogumikus ENG

Using machine learning for automated assessment of misclassification of goods for fraud detectionSpitšakova, Margarita; Haav, Hele-MaiDatabases and Information Systems : 14th International Baltic Conference, DB&IS 2020, Tallinn, Estonia, June 16-19, 2020 : Proceedings2020 / p. 144-158 https://doi.org/10.1007/978-3-030-57672-1_12 Conference proceeding at Scopus Article at Scopus

artikkel kogumikus EST / artikkel kogumikus ENG
58

artikkel ajakirjas EST / artikkel ajakirjas ENG

Using machine learning to develop customer insights from user-generated contentMustak, Mekhail; Hallikainen, Heli; Laukkanen, Tommi; Ple, Loïc; Hollebeek, Linda Desiree; Aleem, MajidJournal of retailing and consumer services2024 / art. 104034, 14 p. : ill https://doi.org/10.1016/j.jretconser.2024.104034 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
59

artikkel ajakirjas EST / artikkel ajakirjas ENG

Using machine learning to improve brand management in an online environmentIankovets, T.; Järvis, Marina; Fomin, O.; Chernobrovkina, S.; Shvets, S.International review of management and marketing2025 / p. 118-125 https://doi.org/10.32479/irmm.20649

artikkel ajakirjas EST / artikkel ajakirjas ENG
60

artikkel ajakirjas

UWB positioning integrity estimation using ranging residuals and ML augmented filteringTommingas, Mihkel; Alam, Muhammad Mahtab; Müürsepp, Ivo; Ulp, SanderIEEE Journal of indoor and seamless positioning and navigation2024 / p. 205-218 https://doi.org/10.1109/JISPIN.2024.3418296

artikkel ajakirjas
Seotud publikatsioonid 1
- Enhancing UWB and multi-sensor positioning with ML-based uncertainty estimation = Ülilairiba ja mitme sensoriga positsioneerimissüsteemide täpsuse parandamine masinõppe meetodil
61

artikkel kogumikus

Wafer-level die re-test success prediction using machine learningSelg, Hardi; Jenihhin, Maksim; Ellervee, Peeter21st IEEE Latin-American Test Symposium (LATS) 2020 : proceedings2020 / 5 p https://doi.org/10.1109/LATS49555.2020.9093672

artikkel kogumikus
62

artikkel kogumikus EST / artikkel kogumikus ENG

Work-in-progress : exploring psychological and behavioural differences between university IT student segments formed based on dropout time and academic performancePuudist, Eerik Sven; Luberg, Ago; Aus, KatiLearning in the Age of Digital and Green Transition : Proceedings of the 25th International Conference on Interactive Collaborative Learning (ICL2022), Volume 22023 / p. 590-596 https://doi.org/10.1007/978-3-031-26190-9_62 Conference proceedings at Scopus Article at Scopus

artikkel kogumikus EST / artikkel kogumikus ENG
63

artikkel kogumikus

XgBoost based short-term electrical load forecasting considering trends & periodicity in historical dataShabbir, Noman; Ahmadiahangar, Roya; Rosin, Argo; Jawad, Muhammad; Kilter, Jako; Martins, Joao2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG)2023 / 6 p https://doi.org/10.1109/ETFG55873.2023.10407926

artikkel kogumikus

Kirjeid leitud 63, kuvan 51 - 63

eelmine
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järgmine

1. machine learning (ML)
2. adversarial machine learning
3. adversarial machine-learning
4. automatic machine learning (autoML)
5. data analytics and machine learning
6. graph machine learning
7. interpretable machine learning
8. machine learning
9. machine learning algorithms
10. machine learning approach
11. Machine Learning Explainable model
12. machine learning for environmental applications
13. machine learning models
14. machine learning systems
15. machine-learning
16. machine-learning predictive model
17. Parkinson’s disease machine learning
18. robust machine learning
19. small data machine learning
20. supervised machine learning
21. unsupervised machine learning
22. machine-to-machine communications
23. AI/ML
24. double ML
25. Mittag-Leffler (ML) function
26. ML bias
27. ML ethics
28. ML-DSA
29. AC machine
30. Algorithmic State Machine - ASM
31. axial flux machine
32. axial flux switched reluctance machine
33. bearingless machine
34. brushless machine
35. coordinate measurring machine
36. electric machine
37. electric machine analysis computing
38. electric machine control
39. electrical machine
40. electrical machine cooling
41. electrical machine design
42. finite state machine
43. Finite State Machine - FSM
44. hierarchical finite state machine
45. high-frequency machine modeling
46. human machine interaction
47. human machine systems
48. human-machine interaction
49. human-machine interactions
50. human-machine interface
51. human-machine system
52. induction machine
53. interior permanent magnet machine
54. interior permanent-magnet synchronous machine (IPMSM)
55. logic machine
56. low-resource machine translation
57. machine bearings
58. machine condition monitoring
59. machine control
60. machine design
61. machine elements
62. machine error
63. machine housing
64. machine tools
65. machine translation
66. machine vector control
67. machine windings
68. machine vision
69. machine-checked proofs
70. machine-translation
71. man-machine systems
72. massive machine type communication (mMTC)
73. massive machine-type communication (mMTC)
74. massive machine-type communications (mMTC)
75. massive Machine-Type connections (mMTC)
76. multi-class support vector machine (m-SVM)
77. multi-machine
78. multi-machine industrial power plant
79. multi-machine power system
80. multi-stream interaction machine
81. neural machine translation
82. outer-rotor machine
83. permanent magnet (PM) synchronous machine
84. permanent magnet flux-switching machine
85. permanent magnet machine
86. permanent magnet synchronous machine (PMSM)
87. reluctance machine
88. sewing machine operator
89. spoke-type PM machine
90. state machine
91. support vector machine
92. surface permanent magnet machine (SPM)
93. switched reluctance machine
94. switched reluctance machine (SRM)
95. synchronous machine
96. TBM (tunnel boring machine)
97. totally enclosed fan-cooled machine
98. universal friction machine
99. virtual synchronous machine
100. active blended learning
101. active learning
102. active learning methods
103. adaptive learning
104. algorithm controlling the learning process
105. appetitive associative learning
106. approach to learning
107. Attitude to learning
108. authoritarian learning
109. automata learning
110. bayesian learning
111. BIM-enabled learning
112. BIM-enabled learning environment
113. blended learning
114. business school as learning organization
115. business school learning organization questionnaire (BSLOQ)
116. business school learning rate dependence on GPD
117. business school learning rate measurement instrument
118. challenge-based learning
119. Challenge-Based Learning (CBL)
120. client learning
121. Collaborative e-learning
122. collaborative learning
123. competence based learning
124. competence learning
125. competence-based learning
126. competency based learning
127. Component organised learning (COL)
128. computer assisted language learning
129. computer based learning
130. computer-assisted language learning (CALL)
131. contrastive learning
132. cooperative reinforcement learning
133. coping with online teaching and learning
134. customer learning
135. deep learning
136. deep learning (DL)
137. deep learning classifier
138. deep learning method
139. deep learning methods
140. deep learning model
141. deep learning model quantization
142. deep learning network
143. deep reinforcement learning
144. Deep reinforcing learning SDN
145. Deep-learning
146. deep-learning (DL)
147. dictionary learning
148. digital learning module
149. digital remote learning
150. Dimensions of Learning Organisation Questionnaire (DLOQ)
151. distance learning
152. distant learning
153. distributed independent reinforcement learning
154. double Q-learning
155. effective teaching and learning
156. e-learning
157. e‐learning
158. e-Learning course
159. e-Learning database
160. e-learning environment
161. electronic learning
162. embedded deep learning
163. Emergency remote learning
164. ensemble learning
165. enterprising and entrepreneurial learning
166. entrepreneurial learning
167. entrepreneurial teaching and learning
168. ESG-learning
169. experiential learning
170. Federated learning
171. federated learning (FL)
172. flexible learning
173. game based learning
174. game-based learning
175. guided in-service learning
176. hands-on-learning
177. history learning
178. horizontal federated learning
179. human-centred learning
180. hybrid learning
181. incremental learning
182. inductive learning
183. inductive learning algorithm
184. interactive learning objects
185. interdisciplinary learning
186. inverse reinforcement learning
187. investor learning
188. iterative learning
189. Kolb’s experiential learning cycle
190. language learning
191. Learner-centered learning environment
192. learning
193. learning (artificial intelligence)
194. learning activities
195. learning adaptation in autonomous vehicles
196. learning algorithm
197. learning analysis
198. learning analytics
199. learning and experimentation
200. learning and health outcomes
201. learning and memory
202. learning business school
203. learning by teaching
204. learning concept
205. learning content
206. learning design
207. learning difficulties
208. Learning environment
209. learning experience
210. learning factory
211. Learning from Demonstration
212. learning infrastructures
213. Learning Lab
214. learning management
215. learning management system
216. learning management systems
217. learning methodology
218. learning metrics
219. learning models
220. learning motivation
221. learning objectives
222. learning objects
223. learning organization
224. learning orientation
225. learning outcomes
226. learning process
227. learning processes
228. learning rate
229. learning rate dependence on ownership form
230. learning rate of organization
231. learning region
232. learning situation
233. learning software agents
234. learning styles
235. learning systems
236. learning technologies
237. learning theories
238. learning through the questionnaires
239. learning university
240. learning-to-rank
241. lifelong learning
242. long-short term learning
243. mathematics students learning habits
244. Meaningful learning
245. measuring learning
246. mobile learning
247. model learning
248. Multi-agent reinforcement learning
249. multi-task learning
250. mutual learning
251. new learning models
252. node embedding learning
253. NREN e-learning
254. on-device transfer learning
255. online learning
256. ontologies for learning systems
257. ontology learning
258. Open Learning Resources (OLR)
259. organisational learning
260. organizational learning
261. organizational learning measurement instruments
262. organizational learning rate dependence on management
263. organizational learning rate measurement
264. outcome oriented learning
265. peer‐to‐peer learning group
266. personalised learning
267. policy learning
268. problem-based learning
269. Problem-based learning (PBL)
270. project learning
271. project-based learning
272. Q-learning
273. Q-learning algorithm
274. query learning
275. regional learning
276. reinforcement learning
277. Reinforcement Learning (RL)
278. relative learning performance
279. Remote learning
280. research-oriented learning
281. reusable learning objects
282. scholarship of teaching and learning
283. self learning software
284. self learning system
285. self-learning
286. self-regulated learning
287. semi-supervised learning
288. sequence of learning activities
289. SIS problem, learning with errors
290. smart learning
291. smart learning environment
292. social learning
293. stochastic learning theory
294. student centred learning
295. supervised contrastive learning
296. supervised learning
297. supervised learning data
298. synchronous hybrid learning
299. zero-shot learning
300. task based learning
301. team learning
302. Technological learning
303. technology-enhanced learning
304. the dimensions of the learning organisation
305. the dimensions of the learning organization questionnaire (DLOQ)
306. tools for interactive learning and teaching
307. trans-disciplinary social-learning
308. transfer learning
309. true online reinforcement learning
310. ubiquitous learning
311. unsupervised learning
312. urban learning center
313. value of learning
314. web and computerbased learning
315. Web and computer-based learning
316. virtual collaborative learning environment (VCLE)
317. virtual learning environment
318. virtual learning factory
319. work-based learning
320. workplace learning

1. ELIXIR Machine Learning Focus Group

1. UNDP Urban Learning Center

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