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Kirjeid leitud 36
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artikkel kogumikus

American sign language character recognition using convolutional neural networksAbdullah, Atesam; Ali, Nisar; Ali, Raja Hashim; Abideen, Zain Ul; Ijaz, Ali Zeeshan; Bais, Abdul2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) : Regina, SK, Canada, 24-27 September 20232023 / p. 165-169 https://doi.org/10.1109/CCECE58730.2023.10288799

artikkel kogumikus
2

artikkel kogumikus

APPRAISER : DNN fault resilience analysis employing approximation errorsTaheri, Mahdi; Ahmadilivani, Mohammad Hasan; Jenihhin, Maksim; Raik, Jaan; Daneshtalab, Masoud2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS)2023 / p. 124−127 https://ddecs2023.taltech.ee/ https://doi.org//10.1109/DDECS57882.2023.10139468

artikkel kogumikus
3

artikkel kogumikus

Artificial intelligence yesterday, today and tomorrowJaakkola, Hannu; Henno, Jaak; Mäkelä, Jukka; Thalheim, Bernhard2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) : May 20 – 24, 2019, Opatija, Croatia : proceedings2019 / p. 860 - 867 : ill https://doi.org/10.23919/MIPRO.2019.8756913

artikkel kogumikus
4

artikkel ajakirjas EST / artikkel ajakirjas ENG

Audiovisual emotion recognition in wildAvots, Egils; Sapinski, Tomasz; Bachmann, Maie; Kaminska, DorotaMachine Vision and Applications2019 / p. 975–985 : ill https://doi.org/10.1007/s00138-018-0960-9 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
5

artikkel kogumikus EST / artikkel kogumikus ENG

Automated training set size reduction for detection of small and thin objectsPihlak, Rene; Riid, Andri12th International Conference on Information Systems and Advanced Technologies "ICISAT 2022" : Intelligent Information, Data Science and Decision Support System2023 / p. 423-433 https://doi.org/10.1007/978-3-031-25344-7_39 Conference Proceedings at Scopus Article at Scopus

artikkel kogumikus EST / artikkel kogumikus ENG
6

artikkel ajakirjas

Deep Learning methodology for charging management applications in battery cells based on Neural NetworksZequera, Rolando Antonio Gilbert; Rjabtšikov, Viktor; Rassõlkin, Anton; Vaimann, Toomas; Kallaste, AntsIEEE Transactions on Intelligent Vehicles2024 https://doi.org/10.1109/TIV.2024.3417216

artikkel ajakirjas
7

artikkel kogumikus

Deep learning-based detection of cyberattacks in software-defined networksMirsadeghi, Seyed Mohammad Hadi; Bahsi, Hayretdin; Inbouli, WissemDigital forensics and cyber crime : 13th EAI international conference, ICDF2C 2022, Boston, MA, November 16-18, 2022 : proceedings2023 / p. 341-354 https://doi.org/10.1007/978-3-031-36574-4_20

artikkel kogumikus
8

artikkel ajakirjas

Deep magnitude management of clinical code embeddings to predict unplanned hospital readmissionsBignoumba, Nzamba; Bertl, Markus; Mellouli, Nedra; Ben Yahia, SadokResearch Square2024 / 32 p. : ill https://doi.org//10.21203/rs.3.rs-4705729/v1

artikkel ajakirjas
Seotud publikatsioonid 1
- Predictive systems using machine learning tools to forecast adverse events during medical stays = Ennustavad süsteemid, mis kasutavad masinõppe vahendeid kõrvalekallete prognoosimiseks haiglas viibimise ajal
9

artikkel ajakirjas EST / artikkel ajakirjas ENG

Deep reinforcement learning-based digital twin for droplet microfluidics controlGyimah, Nafisat; Scheler, Ott; Rang, Toomas; Pardy, TamasPhysics of Fluids2023 / art. 082020 https://doi.org/10.1063/5.0159981 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
Seotud publikatsioonid 1
- Closed-loop droplet size control in microﬂuidics = Suletud ahelaga tilkade suuruse juhtimine mikroﬂuidikas
10

artikkel kogumikus EST / artikkel kogumikus ENG

Detecting Simpson’s paradox : a machine learning perspectiveSharma, Rahul; Garayev, Huseyn; Kaushik, Minakshi; Arakkal Peious, Sijo; Tiwari,Prauag; Draheim, DirkDatabase and Expert Systems Applications : 33rd International Conference, DEXA 2022, Vienna, Austria, August 22-24, 2022 : proceedings. Part I2022 / p. 323-335 : ill https://doi.org/10.1007/978-3-031-12423-5_25 Conference Proceedings at Scopus Article at Scopus Conference Proceedings at WOS Article at WOS

artikkel kogumikus EST / artikkel kogumikus ENG
Seotud publikatsioonid 1
- Uniﬁcation of decision support techniques : mitigating statistical paradoxes for enabling trustworthy decision making = Otsuste toetamise tehnikate ühtlustamine : statistiliste paradokside mõju maandamine usaldusväärsete otsuste tegemise võimaldamiseks
11

artikkel kogumikus

An efficient FPGA-based architecture for contractive autoencodersKerner, Madis; Tammemäe, Kalle; Raik, Jaan; Hollstein, Thomas2020 IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 3 – 6 May 2020, Fayetteville, Arkansas : proceedings2020 / p. 230−230 https://doi.org/10.1109/FCCM48280.2020.00062.

artikkel kogumikus
Seotud publikatsioonid 1
- Novel Neural Network accelerator architectures for FPGAs = Uudsed närvivõrkude kiirendite arhitektuurid FPGAdele
12

artikkel ajakirjas

Enhancing PV hosting capacity and mitigating congestion in distribution networks with deep learning based PV forecasting and battery managementShabbir, Noman; Kütt, Lauri; Astapov, Victor; Daniel, Kamran; Jawad, Muhammad; Husev, Oleksandr; Rosin, Argo; Martins, JoaoApplied energy2024 / art. 123770 https://doi.org/10.1016/j.apenergy.2024.123770

artikkel ajakirjas
13

artikkel ajakirjas EST / artikkel ajakirjas ENG

Environmentally adaptive fish or no-fish classification for river video fish counters using high-performance desktop and embedded hardwareSoom, Jürgen; Pattanaik, Vishwajeet; Leier, Mairo; Tuhtan, Jeffrey AndrewEcological Informatics2022 / art. 101817, 14 p. : ill https://doi.org/10.1016/j.ecoinf.2022.101817 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
14

artikkel ajakirjas

Evaluation of deep learning-based depression detection using medical claims dataBertl, Markus; Bignoumba, Nzamba; Ross, Peeter; Ben Yahia, Sadok; Draheim, DirkArtificial intelligence in medicine2024 / art. 102745, 16 p. : ill https://doi.org/10.1016/j.artmed.2023.102745

artikkel ajakirjas
Seotud publikatsioonid 1
- Predictive systems using machine learning tools to forecast adverse events during medical stays = Ennustavad süsteemid, mis kasutavad masinõppe vahendeid kõrvalekallete prognoosimiseks haiglas viibimise ajal
15

artikkel ajakirjas

Evaluation of deep learning-based depression detection using medical claims data : preprintBertl, Markus; Bignoumba, Nzamba; Ross, Peeter; Ben Yahia, Sadok; Draheim, DirkSSRN2023 / p. 1-34 : ill https://doi.org/10.2139/ssrn.4478987

artikkel ajakirjas
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
16

artikkel kogumikus

Exploring deep learning based object detection architecturSaddique, Muhammad Saddique; Raza, Ahsan; Abideen, Zain Ul; Khan, Shah Nawaz2020 17th International Bhurban Conference on Applied Sciences and Technology (IBCAST), Islamabad, Pakistan, 20202020 / p. 255-259 https://doi.org/10.1109/IBCAST47879.2020.9044558

artikkel kogumikus
17

artikkel ajakirjas EST / artikkel ajakirjas ENG

Generative adversarial networks as a data augmentation tool for CNN-based Parkinson's disease diagnosticsDzotsenidze, Erik; Valla, Elli; Nõmm, Sven; Medijainen, Kadri; Taba, Pille; Toomela, AaroIFAC-Papers OnLine2022 / p. 108-113 : ill https://doi.org/10.1016/j.ifacol.2022.10.240 Conference Proceedings at Scopus Article at Scopus Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
18

artikkel ajakirjas EST / artikkel ajakirjas ENG

Learning from few cyber-attacks : addressing the class imbalance problem in machine learning-based intrusion detection in software-defined networkingMirsadeghi, Seyed Mohammad Hadi; Bahsi, Hayretdin; Vaarandi, Risto; Inoubli, WissemIEEE Access2023 / p. 140428 - 140442 https://doi.org/10.1109/ACCESS.2023.3341755 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
19

artikkel ajakirjas EST / artikkel ajakirjas ENG

Lidar-camera semi-supervised learning for semantic segmentationCaltagirone, Luka; Bellone, Mauro; Svensson, Lennart; Wahde, Mattias; Sell, RaivoSensors2021 / art. 4813 https://doi.org/10.3390/s21144813 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
20

artikkel kogumikus EST / artikkel kogumikus ENG

A light-weight CNN model for efficient Parkinsons disease diagnosticsWang, Xuechao; Huang, Junqing; Chatzakou, Marianna; Medijainen, Kadri; Taba, Pille; Toomela, Aaro; Nõmm, Sven; Ruzhansky, Michael36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023, Aquila, 22-24 June 20232023 / p. 616-621 https://doi.org/10.1109/CBMS58004.2023.00289 Conference proceedings at Scopus Article at Scopus Article at WOS

artikkel kogumikus EST / artikkel kogumikus ENG
21

artikkel kogumikus

Machine learning and deep learning techniques for residential load forecasting : a comparative analysisShabbir, Noman; Kütt, Lauri; Raja, Hadi Ashraf; Ahmadiahangar, Roya; Rosin, Argo; Husev, Oleksandr2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON): conference proceedings2021 / p. 1-5 https://doi.org/10.1109/RTUCON53541.2021.9711741

artikkel kogumikus
Seotud publikatsioonid 1
- Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteem
22

artikkel kogumikus EST / artikkel kogumikus ENG

Machine learning techniques for wireless-powered ambient backscatter communications : enabling intelligent iot networks in 6g eraJameel, Furqan; Sharma, Navuday; Khan, Muhammad Awais; Khan, Imran; Alam, Muhammad Mahtab; Alam, Muhammad Mahtab; Mavromoustakis, Constandinos X.Internet of Things / 2020 https://doi.org/10.1007/978-3-030-44907-0_8 Article collection metrics at Scopus Article at Scopus

artikkel kogumikus EST / artikkel kogumikus ENG
23

artikkel ajakirjas

Multi-algorithm-based urban tree information extraction and Its applications in urban planning : research noteYao, Chaowen; Fabritius, Eeva Henna Helena; Fricker, Pia; Dembski, FabianLandscape and urban planning2025 / art. 105226 https://doi.org/10.1016/j.landurbplan.2024.105226

artikkel ajakirjas
24

artikkel ajakirjas EST / artikkel ajakirjas ENG

Multi-stage deep learning networks for automated assessment of electricity transmission infrastructure using fly-by imagesManninen, Henri; Ramlal, Craig J.; Singh, Arvind; Kilter, Jako; Landsberg, MartElectric power systems research2022 / art. 107948 https://doi.org/10.1016/j.epsr.2022.107948 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
25

artikkel ajakirjas

A new efficient ALignment-driven Neural Network for mortality prediction from irregular multivariate time series dataBignoumba, Nzamba; Mellouli, Nedra; Ben Yahia, SadokExpert systems with applications2024 / art. 122148 https://doi.org/10.1016/j.eswa.2023.122148

artikkel ajakirjas
Seotud publikatsioonid 1
- Predictive systems using machine learning tools to forecast adverse events during medical stays = Ennustavad süsteemid, mis kasutavad masinõppe vahendeid kõrvalekallete prognoosimiseks haiglas viibimise ajal

Kirjeid leitud 36, kuvan 1 - 25

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

1. ELIXIR Machine Learning Focus Group

1. UNDP Urban Learning Center

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