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26

book article

Pitfalls of machine learning methods in smart grids : a legal perspectiveAntonov, Aleksander; Häring, Tobias; Korõtko, Tarmo; Rosin, Argo; Kerikmäe, Tanel; Biechl, Helmuth2021 International Symposium on Computer Science and Intelligent Controls :(ISCSIC 2021), 12-14 November 2021, Rome, Italy : proceedings2021 / p. 248-256 https://doi.org/10.1109/ISCSIC54682.2021.00053

book article
Seotud publikatsioonid 1
- Research and development of energy storage control strategies for residential area microgrids = Energiasalvestite juhtimisstrateegiate uurimine ja arendamine elamupiirkondade mikrovõrkudele
27

book article EST / book article ENG

Predicting psychiatric diseases using autoAI : a performance analysis based on health insurance billing dataBertl, Markus; Ross, Peeter; Draheim, DirkDatabase and Expert Systems Applications : 32nd International Conference, DEXA 2021, Virtual Event, September 27-30, 2021 : proceedings. Part I2021 / p. 104-111 https://doi.org/10.1007/978-3-030-86472-9_9 Conference proceedings at Scopus Article at Scopus Conference proceedings at WOS Article at WOS

book article EST / book article 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
28

book article EST / book article ENG

PrefaceJallouli, Rim; Tobji, Mohamed Anis Bach; Mcheick, Hamid; Piho, GunnarDigital Economy. Emerging Technologies and Business Innovation : 6th International Conference on Digital Economy, ICDEc 2021, Tallinn, Estonia, July 15–17, 2021 : proceedings2021 / p. v–vi https://link.springer.com/content/pdf/bfm:978-3-030-92909-1/1 Collection metrics at Scopus Article at Scopus

book article EST / book article ENG
29

book article

Preliminary analysis of bearing current faults for predictive maintenanceKudelina, Karolina; Raja, Hadi Ashraf; Vaimann, Toomas; Kallaste, Ants; Pomarnacki, Raimondas; Hyunh, Van Khang2023 IEEE International Conference on Electric Machines and Drives (IEMDC)2023 / 5 p. : ill https://doi.org/10.1109/IEMDC55163.2023.10238934

book article
Seotud publikatsioonid 1
- Artificial intelligence driven approaches for fault prognostics of electrical machines using vibration spectrum analysis = Tehisintellektil põhinevad lähenemisviisid elektrimasinate rikete prognoosimiseks vibratsioonispektri analüüsi abil
30

book article EST / book article ENG

A primer on public safety communication in the context of terror attacks: the NATO SPS “COUNTER-TERROR” projectAlam, Muhammad Mahtab; Le Moullec, Yannick; Ahmad, Rizwan; Magarini, Maurizio; Reggiani, LucaAdvanced Technologies for Security Applications : Proceedings of the NATO Science for Peace and Security 'Cluster Workshop on Advanced Technologies', 17-18 September 2019, Leuven, Belgium2020 / p. 19-34 https://doi.org/10.1007/978-94-024-2021-0_3 Article collection metrics at Scopus Article at Scopus

book article EST / book article ENG
31

book article

Real-time gait anomaly detection using 1D-CNN and LSTMRostovski, Jakob; Ahmadilivani, Mohammad Hasan; Krivošei, Andrei; Kuusik, Alar; Alam, Muhammad MahtabDigital Health and Wireless Solutions : First Nordic Conference, NCDHWS 2024, Oulu, Finland, May 7–8, 2024 : Proceedings, Part II2024 / p. 260-278 https://doi.org/10.1007/978-3-031-59091-7_17

book article
32

book article

Residential DC load forecasting using long short-term memory network (LSTM)Shabbir, Noman; Ahmadiahangar, Roya; Rosin, Argo; Husev, Oleksandr; Jalakas, Tanel; Martins, Joao2023 IEEE 11th International Conference on Smart Energy Grid Engineering (SEGE)2023 / p. 131-136 https://doi.org/10.1109/SEGE59172.2023.10274596

book article
33

journal article EST / journal article ENG

A review of optimal control methods for energy storage systems - energy trading, energy balancing and electric vehiclesMachlev, Ram; Zargari, Noa; Chowdhury, N; Belikov, Juri; Levron, YoashJournal of energy storage2020 / art. 101787, 16 p https://doi.org/10.1016/j.est.2020.101787 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

journal article EST / journal article ENG
34

book article EST / book article ENG

Simultaneous road edge and road surface markings detection using convolutional neural networksPihlak, Rene; Riid, AndriDatabases and Information Systems : 14th International Baltic Conference, DB&IS 2020, Tallinn, Estonia, June 16-19, 2020 : Proceedings2020 / p. 109-121 https://doi.org/10.1007/978-3-030-57672-1_9 Conference proceeding at Scopus Article at Scopus

book article EST / book article ENG
35

journal article EST / journal article 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

journal article EST / journal article 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
36

journal article EST / journal article 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

journal article EST / journal article ENG
37

journal article

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 article
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
38

journal article

The gender wealth gap in Europe: Application of machine learning to predict individual-level wealthKukk, Merike; Meriküll, Jaanika; Rõõm, TairiReview of income and wealth2022 / 29 p https://doi.org/10.1111/roiw.12596

journal article
39

book article

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

book article
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
40

book article

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

book article
41

book article EST / book article 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

book article EST / book article ENG
42

book article

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

book article
43

book article

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

book article
44

book article

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

book article

Number of records 44, displaying 26 - 44

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

1. ELIXIR Machine Learning Focus Group

1. UNDP Urban Learning Center

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