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26
book article
Improving transparency and explainability of deep learning based IoT botnet detection using explainable artificial intelligence (XAI)
Kalakoti, Rajesh
;
Nõmm, Sven
;
Bahsi, Hayretdin
22nd IEEE International Conference on Machine Learning and Applications : ICMLA 2023 : 15-17 December 2023, Jacksonville Riverfront, Florida : proceedings (2023)
2023
/
p. 595-601
https://doi.org/10.1109/ICMLA58977.2023.00088
book article
Related publications
1
Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemid
27
journal article EST
/
journal article ENG
Learning from few cyber-attacks : addressing the class imbalance problem in machine learning-based intrusion detection in software-defined networking
Mirsadeghi, Seyed Mohammad Hadi
;
Bahsi, Hayretdin
;
Vaarandi, Risto
;
Inoubli, Wissem
IEEE Access
2023
/
p. 140428 - 140442
https://doi.org/10.1109/ACCESS.2023.3341755
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
28
journal article EST
/
journal article ENG
Lidar-camera semi-supervised learning for semantic segmentation
Caltagirone, Luka
;
Bellone, Mauro
;
Svensson, Lennart
;
Wahde, Mattias
;
Sell, Raivo
Sensors
2021
/
art. 4813
https://doi.org/10.3390/s21144813
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
29
book article EST
/
book article ENG
A light-weight CNN model for efficient Parkinsons disease diagnostics
Wang, Xuechao
;
Huang, Junqing
;
Chatzakou, Marianna
;
Medijainen, Kadri
;
Taba, Pille
;
Toomela, Aaro
;
Nõmm, Sven
;
Ruzhansky, Michael
36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023, Aquila, 22-24 June 2023
2023
/
p. 616-621
https://doi.org/10.1109/CBMS58004.2023.00289
Conference proceedings at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
30
book article
Machine learning and deep learning techniques for residential load forecasting : a comparative analysis
Shabbir, Noman
;
Kütt, Lauri
;
Raja, Hadi Ashraf
;
Ahmadiahangar, Roya
;
Rosin, Argo
;
Husev, Oleksandr
2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON): conference proceedings
2021
/
p. 1-5
https://doi.org/10.1109/RTUCON53541.2021.9711741
book article
Related publications
1
Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteem
31
book article EST
/
book article ENG
Machine learning techniques for wireless-powered ambient backscatter communications : enabling intelligent iot networks in 6g era
Jameel, 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
book article EST
/
book article ENG
32
journal article
Multi-algorithm-based urban tree information extraction and Its applications in urban planning : research note
Yao, Chaowen
;
Fabritius, Eeva Henna Helena
;
Fricker, Pia
;
Dembski, Fabian
Landscape and urban planning
2025
/
art. 105226
https://doi.org/10.1016/j.landurbplan.2024.105226
journal article
33
journal article EST
/
journal article ENG
Multi-stage deep learning networks for automated assessment of electricity transmission infrastructure using fly-by images
Manninen, Henri
;
Ramlal, Craig J.
;
Singh, Arvind
;
Kilter, Jako
;
Landsberg, Mart
Electric power systems research
2022
/
art. 107948
https://doi.org/10.1016/j.epsr.2022.107948
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
34
journal article EST
/
journal article ENG
A new efficient ALignment-driven Neural Network for mortality prediction from irregular multivariate time series data [Formula presented]
Bignoumba, Nzamba
;
Mellouli, Nedra
;
Ben Yahia, Sadok
Expert systems with applications
2024
/
art. 122148
https://doi.org/10.1016/j.eswa.2023.122148
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Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
Related publications
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
35
book article
Non-determinism in nowadays computing and IT
Henno, Jaak
;
Jaakkola, Hannu
;
Mäkelä, Jukka
2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), 28 Sept.-2 Oct. 2020, Opatija, Croatia : proceedings
2020
/
p. 794-801
https://doi.org/10.23919/MIPRO48935.2020.9245377
book article
36
book article EST
/
book article ENG
Ontology modeling of the Estonian Traffic Act for self-driving buses
Nogales, Alberto
;
Täks, Ermo
;
Taveter, Kuldar
Information Management and Big Data : 5th International Conference : SIMBig 2018, Lima, Peru, September 3–5, 2018 : proceedings
2019
/
p. 249-256
https://doi.org/10.1007/978-3-030-11680-4_24
Conference proceedings at Scopus
Article at Scopus
book article EST
/
book article ENG
37
journal article EST
/
journal article ENG
Orthophoto classification for UGV pth planning using heterogeneous computing
Hudjakov, Robert
;
Tamre, Mart
International journal of advanced robotic systems
2013
/
[7] p. : ill
https://doi.org/10.5772/56545
https://www.researchgate.net/publication/269785081_Orthophoto_Classification_for_UGV_Path_Planning_using_Heterogeneous_Computing
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
38
journal article EST
/
journal article ENG
Pavement defect segmentation in orthoframes with a pipeline of three convolutional neural networks
Lõuk, Roland
;
Riid, Andri
;
Pihlak, Rene
;
Tepljakov, Aleksei
Algorithms
2020
/
art. 198, 27 p. : ill
https://doi.org/10.3390/a13080198
Journal metrics at scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
39
book article
Preliminary results in using attention for increasing attack identification efficiency
Ahmad, Tanwir
;
Truscan, Dragos
;
Vain, Jüri
2023 IEEE 16th International Conferenceon Software Testing, Verification andValidation Workshops, ICSTW 2023, 16-20 April 2023, Dublin, Ireland, Proceedings
2023
/
p. 159 - 164
https://doi.org/10.1109/ICSTW58534.2023.00038
book article
40
book article
Residential load forecasting using recurrent neural networks
Shabbir, Noman
;
Ahmadiahangar, Roya
;
Raja, Hadi Ashraf
;
Kütt, Lauri
;
Rosin, Argo
2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) : proceedings
2020
/
p. 478-481 : ill
https://doi.org/10.1109/CPE-POWERENG48600.2020.9161565
book article
41
journal article EST
/
journal article ENG
A robust pathological voices recognition system based on DCNN and scattering transform
Souli, Sameh
;
Amam, Rimah
;
Ben Yahia, Sadok
Applied acoustics
2021
/
art. 107854 : ill
https://doi.org/10.1016/j.apacoust.2020.107854
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
42
book article
Scene parsing using Fully Convolutional Network for Semantic Segmentation
Ali, Nisar
;
Ijaz, Ali Zeeshan
;
Ali, Raja Hashim
;
Abideen, Zain Ul
;
Bais, Abdul
2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), Regina, SK, Canada, 2023
2023
/
p. 180-185
https://doi.org/10.1109/CCECE58730.2023.10288934
book article
43
book article EST
/
book article ENG
Semi-parametric approach to random forests for high-dimensional bayesian optimisation
Kuzmanovski, Vladimir
;
Hollmén, Jaakko
Discovery Science : 25th International Conference, DS 2022, Montpellier, France, October 10–12, 2022, Proceedings
2022
/
p. 418 - 428
https://doi.org/10.1007/978-3-031-18840-4_30
Conference Proceedings at Scopus
Article at Scopus
Conference Proceedings at WOS
Article at WOS
book article EST
/
book article ENG
44
journal article
Short-term PV energy generation forecasting using deep learning
Shabbir, Noman
;
Ahmadiahangar, Roya
;
Rosin, Argo
;
Astapov, Victor
;
Kilter, Jako
Telematique
2022
https://www.provinciajournal.com/index.php/telematique/article/view/813
journal article
45
book article
The validation of graph model-based, gate level low-dimensional feature data for machine learning applications
Balakrishnan, Aneesh
;
Lange, Thomas
;
Glorieux, Maximilien
;
Alexandrescu, Dan
;
Jenihhin, Maksim
2019 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 Xplore
2019
/
7 p
https://doi.org/10.1109/NORCHIP.2019.8906974
book article
Related publications
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
46
journal article EST
/
journal article ENG
Toward automatic condition assessment of high-voltage transmission infrastructure using deep learning techniques
Manninen, Henri
;
Ramlal, Craig J.
;
Singh, Arvind
;
Rocke, Sean
;
Kilter, Jako
;
Landsberg, Mart
International journal of electrical power & energy systems
2021
/
art. 106726
https://doi.org/10.1016/j.ijepes.2020.106726
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journal article EST
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journal article ENG
Related publications
1
Data-driven asset management and condition assessment methodology for transmission overhead lines = Ülekandevõrgu õhuliinide andmepõhine varahalduse ja seisundi hindamise metoodika
Number of records 46, displaying
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deep learning
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7.
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8.
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9.
Deep-learning
10.
deep-learning (DL)
11.
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12.
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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.
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31.
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32.
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33.
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34.
deep offshore
35.
deep packet inspection
36.
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37.
deep renovation
38.
deep understanding
39.
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40.
deep-sea mining
41.
double deep Q-network
42.
natural deep eutectic solvents
43.
naturally available deep eutectic solvents
44.
nZEB deep energy renovation
45.
nZEB deep renovation
46.
active blended learning
47.
active learning
48.
active learning and engagement
49.
active learning methods
50.
adaptive learning
51.
adversarial machine learning
52.
adversarial machine-learning
53.
algorithm controlling the learning process
54.
appetitive associative learning
55.
approach to learning
56.
Artificial Intelligence in learning
57.
Attitude to learning
58.
authoritarian learning
59.
automata learning
60.
automatic machine learning (autoML)
61.
bayesian learning
62.
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63.
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64.
biophilic learning environments
65.
blended learning
66.
business school as learning organization
67.
business school learning organization questionnaire (BSLOQ)
68.
business school learning rate dependence on GPD
69.
business school learning rate measurement instrument
70.
challenge-based learning
71.
Challenge-Based Learning (CBL)
72.
city-to-city learning
73.
client learning
74.
Collaborative e-learning
75.
collaborative learning
76.
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77.
competence learning
78.
competence-based learning
79.
competency based learning
80.
Component organised learning (COL)
81.
computer assisted language learning
82.
computer based learning
83.
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84.
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85.
cooperative reinforcement learning
86.
coping with online teaching and learning
87.
customer learning
88.
data analytics and machine learning
89.
dictionary learning
90.
digital learning module
91.
digital remote learning
92.
Dimensions of Learning Organisation Questionnaire (DLOQ)
93.
distance learning
94.
distant learning
95.
distributed independent reinforcement learning
96.
double Q-learning
97.
effective teaching and learning
98.
e-learning
99.
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100.
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101.
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102.
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104.
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114.
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118.
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120.
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121.
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122.
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123.
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124.
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125.
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126.
inclusive learning
127.
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128.
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129.
inductive learning algorithm
130.
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131.
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132.
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133.
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134.
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135.
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136.
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137.
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138.
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139.
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140.
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141.
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142.
learning adaptation in autonomous vehicles
143.
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144.
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145.
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146.
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147.
learning and health outcomes
148.
learning and memory
149.
learning business school
150.
learning by teaching
151.
learning concept
152.
learning content
153.
learning design
154.
learning difficulties
155.
Learning environment
156.
learning experience
157.
learning factory
158.
Learning from Demonstration
159.
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160.
Learning Lab
161.
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162.
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163.
learning management systems
164.
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165.
learning metrics
166.
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167.
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168.
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169.
learning objects
170.
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171.
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172.
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173.
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174.
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175.
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176.
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177.
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178.
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179.
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180.
learning software agents
181.
learning styles
182.
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183.
learning technologies
184.
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185.
learning through the questionnaires
186.
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187.
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188.
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189.
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190.
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191.
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192.
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193.
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194.
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195.
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196.
machine learning for environmental applications
197.
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198.
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199.
machine-learning
200.
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201.
mathematics students learning habits
202.
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203.
measuring learning
204.
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205.
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206.
Multi-agent reinforcement learning
207.
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208.
mutual learning
209.
new learning models
210.
node embedding learning
211.
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212.
on-device transfer learning
213.
online learning
214.
ontologies for learning systems
215.
ontology learning
216.
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217.
organisational learning
218.
organizational learning
219.
organizational learning measurement instruments
220.
organizational learning rate dependence on management
221.
organizational learning rate measurement
222.
outcome oriented learning
223.
Parkinson’s disease machine learning
224.
peer‐to‐peer learning group
225.
personalised learning
226.
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227.
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228.
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229.
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230.
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231.
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233.
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234.
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236.
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237.
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238.
relative learning performance
239.
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240.
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246.
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248.
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253.
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254.
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256.
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257.
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259.
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260.
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261.
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263.
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264.
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265.
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266.
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267.
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268.
Technological learning
269.
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270.
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271.
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272.
tools for interactive learning and teaching
273.
trans-disciplinary social-learning
274.
transfer learning
275.
true online reinforcement learning
276.
ubiquitous learning
277.
unsupervised learning
278.
unsupervised machine learning
279.
urban learning center
280.
value of learning
281.
web and computerbased learning
282.
Web and computer-based learning
283.
virtual collaborative learning environment (VCLE)
284.
virtual learning environment
285.
virtual learning factory
286.
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287.
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ELIXIR Machine Learning Focus Group
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UNDP Urban Learning Center
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