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1
book article
American sign language character recognition using convolutional neural networks
Abdullah, Atesam
;
Ali, Nisar
;
Ali, Raja Hashim
;
Abideen, Zain Ul
;
Ijaz, Ali Zeeshan
;
Bais, Abdul
2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) : Regina, SK, Canada, 24-27 September 2023
2023
/
p. 165-169
https://doi.org/10.1109/CCECE58730.2023.10288799
book article
2
book article
APPRAISER : DNN fault resilience analysis employing approximation errors
Taheri, Mahdi
;
Ahmadilivani, Mohammad Hasan
;
Jenihhin, Maksim
;
Daneshtalab, Masoud
;
Raik, Jaan
2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS)
2023
/
p. 124−127 : ill
https://ddecs2023.taltech.ee/
https://doi.org//10.1109/DDECS57882.2023.10139468
book article
Related publications
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
3
book article
Artificial intelligence yesterday, today and tomorrow
Jaakkola, Hannu
;
Henno, Jaak
;
Mäkelä, Jukka
;
Thalheim, Bernhard
2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) : May 20 – 24, 2019, Opatija, Croatia : proceedings
2019
/
p. 860 - 867 : ill
https://doi.org/10.23919/MIPRO.2019.8756913
book article
4
journal article EST
/
journal article ENG
Audiovisual emotion recognition in wild
Avots, Egils
;
Sapinski, Tomasz
;
Bachmann, Maie
;
Kaminska, Dorota
Machine Vision and Applications
2019
/
p. 975–985 : ill
https://doi.org/10.1007/s00138-018-0960-9
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journal article EST
/
journal article ENG
5
book article EST
/
book article ENG
Automated training set size reduction for detection of small and thin objects
Pihlak, Rene
;
Riid, Andri
12th International Conference on Information Systems and Advanced Technologies "ICISAT 2022" : Intelligent Information, Data Science and Decision Support System
2023
/
p. 423-433
https://doi.org/10.1007/978-3-031-25344-7_39
Conference Proceedings at Scopus
Article at Scopus
book article EST
/
book article ENG
6
journal article
Charge Diagnostics and State Estimation of Battery Energy Storage Systems Through Transformer Models
Zequera, Rolando Antonio Gilbert
;
Rassõlkin, Anton
;
Vaimann, Toomas
;
Kallaste, Ants
IEEE Access
2025
/
p. 17733–17744 : ill
https://doi.org//10.1109/ACCESS.2025.3532858
journal article
Related publications
1
Artificial Intelligence-Based Predictive Analytics for Battery Energy Storage Systems in Electric Vehicle Applications = Tehisintellektil põhinev ennustav andmeanalüüs akupõhiste energiasalvestussüsteemide jaoks elektrisõidukites
7
journal article EST
/
journal article ENG
DAT: deep learning-based acceleration-aware trajectory forecasting
Sharifi, Ali Asghar
;
Zoljodi, Ali
;
Daneshtalab, Masoud
Journal of imaging
2024
/
art. 321, 16 p. : ill
https://doi.org/10.3390/jimaging10120321
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journal article EST
/
journal article ENG
8
book article
Deep Learning Based Segmentation of Luria's Alternating Series Test to Support Diagnostics of Parkinson's Disease
Valla, Elli
;
Laur, Henry
;
Nõmm, Sven
;
Medijainen, Kadri
;
Taba, Pille
;
Toomela, Aaro
2023 International Conference on Machine Learning and Applications (ICMLA)
2023
/
p. 1066-1071 : ill
https://doi.org/10.1109/ICMLA58977.2023.00158
book article
Related publications
1
Leveraging artificial intelligence for microkinematic analysis of fine motor skills in Parkinson’s disease detection = Tehisintellekti rakendamine peenmotoorika mikrokinemaatilises analüüsis Parkinsoni tõve tuvastamiseks
9
journal article
Deep Learning methodology for charging management applications in battery cells based on Neural Networks
Zequera, Rolando Antonio Gilbert
;
Rjabtšikov, Viktor
;
Rassõlkin, Anton
;
Vaimann, Toomas
;
Kallaste, Ants
IEEE Transactions on Intelligent Vehicles
2025
/
p. 668-682
https://doi.org/10.1109/TIV.2024.3417216
journal article
Related publications
1
Artificial Intelligence-Based Predictive Analytics for Battery Energy Storage Systems in Electric Vehicle Applications = Tehisintellektil põhinev ennustav andmeanalüüs akupõhiste energiasalvestussüsteemide jaoks elektrisõidukites
10
book article
Deep learning-based detection of cyberattacks in software-defined networks
Mirsadeghi, Seyed Mohammad Hadi
;
Bahsi, Hayretdin
;
Inbouli, Wissem
Digital forensics and cyber crime : 13th EAI international conference, ICDF2C 2022, Boston, MA, November 16-18, 2022 : proceedings
2023
/
p. 341-354
https://doi.org/10.1007/978-3-031-36574-4_20
book article
11
journal article
Deep magnitude management of clinical code embeddings to predict unplanned hospital readmissions
Bignoumba, Nzamba
;
Bertl, Markus
;
Mellouli, Nedra
;
Ben Yahia, Sadok
Research Square
2024
/
32 p. : ill
https://doi.org//10.21203/rs.3.rs-4705729/v1
journal article
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
12
journal article EST
/
journal article ENG
Deep reinforcement learning-based digital twin for droplet microfluidics control
Gyimah, Nafisat
;
Scheler, Ott
;
Rang, Toomas
;
Pardy, Tamas
Physics of Fluids
2023
/
art. 082020
https://doi.org/10.1063/5.0159981
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/
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1
Closed-loop droplet size control in microfluidics = Suletud ahelaga tilkade suuruse juhtimine mikrofluidikas
13
book article EST
/
book article ENG
Detecting Simpson’s paradox : a machine learning perspective
Sharma, Rahul
;
Garayev, Huseyn
;
Kaushik, Minakshi
;
Arakkal Peious, Sijo
;
Tiwari, Prauag
;
Draheim, Dirk
Database and Expert Systems Applications : 33rd International Conference, DEXA 2022, Vienna, Austria, August 22-24, 2022 : proceedings. Part I
2022
/
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
book article EST
/
book article ENG
Related publications
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
14
book article
An efficient FPGA-based architecture for contractive autoencoders
Kerner, Madis
;
Tammemäe, Kalle
;
Raik, Jaan
;
Hollstein, Thomas
2020 IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 3 – 6 May 2020, Fayetteville, Arkansas : proceedings
2020
/
p. 230−230
https://doi.org/10.1109/FCCM48280.2020.00062.
book article
Related publications
1
Novel Neural Network accelerator architectures for FPGAs = Uudsed närvivõrkude kiirendite arhitektuurid FPGAdele
15
journal article EST
/
journal article ENG
Enhancing PV hosting capacity and mitigating congestion in distribution networks with deep learning based PV forecasting and battery management
Shabbir, Noman
;
Kütt, Lauri
;
Astapov, Victor
;
Daniel, Kamran
;
Jawad, Muhammad
;
Husev, Oleksandr
;
Rosin, Argo
;
Martins, Joao
Applied energy
2024
/
art. 123770
https://doi.org/10.1016/j.apenergy.2024.123770
Journal metrics at Scopus
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journal article EST
/
journal article ENG
16
journal article EST
/
journal article ENG
Environmentally adaptive fish or no-fish classification for river video fish counters using high-performance desktop and embedded hardware
Soom, Jürgen
;
Pattanaik, Vishwajeet
;
Leier, Mairo
;
Tuhtan, Jeffrey Andrew
Ecological Informatics
2022
/
art. 101817, 14 p. : ill
https://doi.org/10.1016/j.ecoinf.2022.101817
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
17
journal article EST
/
journal article ENG
Evaluation of deep learning-based depression detection using medical claims data
Bertl, Markus
;
Bignoumba, Nzamba
;
Ross, Peeter
;
Ben Yahia, Sadok
;
Draheim, Dirk
Artificial intelligence in medicine
2024
/
art. 102745, 16 p. : ill
https://doi.org/10.1016/j.artmed.2023.102745
Journal metrics at Scopus
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
18
journal article
Evaluation of deep learning-based depression detection using medical claims data : preprint
Bertl, Markus
;
Bignoumba, Nzamba
;
Ross, Peeter
;
Ben Yahia, Sadok
;
Draheim, Dirk
SSRN
2023
/
p. 1-34 : ill
https://doi.org/10.2139/ssrn.4478987
journal article
Related publications
1
Systematic AI support for psychiatry : a framework on how to implement decision support systems = Tehisintellekti süstemaatiline kasutamine psühhiaatrias : otsustustoe rakendamist toetav raamistik
19
book article
Exploring deep learning based object detection architectur
Saddique, Muhammad Saddique
;
Raza, Ahsan
;
Abideen, Zain Ul
;
Khan, Shah Nawaz
2020 17th International Bhurban Conference on Applied Sciences and Technology (IBCAST), Islamabad, Pakistan, 2020
2020
/
p. 255-259
https://doi.org/10.1109/IBCAST47879.2020.9044558
book article
20
journal article EST
/
journal article ENG
Generative adversarial networks as a data augmentation tool for CNN-based Parkinson's disease diagnostics
Dzotsenidze, Erik
;
Valla, Elli
;
Nõmm, Sven
;
Medijainen, Kadri
;
Taba, Pille
;
Toomela, Aaro
IFAC-Papers OnLine
2022
/
p. 108-113 : ill
https://doi.org/10.1016/j.ifacol.2022.10.240
Conference Proceedings at Scopus
Article at Scopus
Article at WOS
journal article EST
/
journal article ENG
Related publications
1
Leveraging artificial intelligence for microkinematic analysis of fine motor skills in Parkinson’s disease detection = Tehisintellekti rakendamine peenmotoorika mikrokinemaatilises analüüsis Parkinsoni tõve tuvastamiseks
21
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
22
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
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journal article EST
/
journal article ENG
23
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
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journal article EST
/
journal article ENG
24
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
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book article EST
/
book article ENG
25
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
Number of records 41, displaying
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1.
deep learning
2.
deep learning (DL)
3.
deep learning classifier
4.
deep learning method
5.
deep learning methods
6.
deep learning model
7.
deep learning model quantization
8.
deep learning network
9.
Deep-learning
10.
deep-learning (DL)
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.
nZEB deep energy renovation
41.
nZEB deep renovation
42.
active blended learning
43.
active learning
44.
active learning methods
45.
adaptive learning
46.
adversarial machine learning
47.
adversarial machine-learning
48.
algorithm controlling the learning process
49.
appetitive associative learning
50.
approach to learning
51.
Attitude to learning
52.
authoritarian learning
53.
automata learning
54.
automatic machine learning (autoML)
55.
bayesian learning
56.
BIM-enabled learning
57.
BIM-enabled learning environment
58.
blended learning
59.
business school as learning organization
60.
business school learning organization questionnaire (BSLOQ)
61.
business school learning rate dependence on GPD
62.
business school learning rate measurement instrument
63.
challenge-based learning
64.
Challenge-Based Learning (CBL)
65.
client learning
66.
Collaborative e-learning
67.
collaborative learning
68.
competence based learning
69.
competence learning
70.
competence-based learning
71.
competency based learning
72.
Component organised learning (COL)
73.
computer assisted language learning
74.
computer based learning
75.
computer-assisted language learning (CALL)
76.
contrastive learning
77.
cooperative reinforcement learning
78.
coping with online teaching and learning
79.
customer learning
80.
data analytics and machine learning
81.
dictionary learning
82.
digital learning module
83.
digital remote learning
84.
Dimensions of Learning Organisation Questionnaire (DLOQ)
85.
distance learning
86.
distant learning
87.
distributed independent reinforcement learning
88.
double Q-learning
89.
effective teaching and learning
90.
e-learning
91.
e‐learning
92.
e-Learning course
93.
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94.
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95.
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96.
Emergency remote learning
97.
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98.
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99.
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100.
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101.
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102.
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103.
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104.
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105.
flexible learning
106.
game based learning
107.
game-based learning
108.
graph machine learning
109.
guided in-service learning
110.
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111.
history learning
112.
horizontal federated learning
113.
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114.
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115.
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116.
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117.
inductive learning algorithm
118.
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119.
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120.
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121.
inverse reinforcement learning
122.
investor learning
123.
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124.
Kolb’s experiential learning cycle
125.
language learning
126.
Learner-centered learning environment
127.
learning
128.
learning (artificial intelligence)
129.
learning activities
130.
learning adaptation in autonomous vehicles
131.
learning algorithm
132.
learning analysis
133.
learning analytics
134.
learning and experimentation
135.
learning and health outcomes
136.
learning and memory
137.
learning business school
138.
learning by teaching
139.
learning concept
140.
learning content
141.
learning design
142.
learning difficulties
143.
Learning environment
144.
learning experience
145.
learning factory
146.
Learning from Demonstration
147.
learning infrastructures
148.
Learning Lab
149.
learning management
150.
learning management system
151.
learning management systems
152.
learning methodology
153.
learning metrics
154.
learning models
155.
learning motivation
156.
learning objectives
157.
learning objects
158.
learning organization
159.
learning orientation
160.
learning outcomes
161.
learning process
162.
learning processes
163.
learning rate
164.
learning rate dependence on ownership form
165.
learning rate of organization
166.
learning region
167.
learning situation
168.
learning software agents
169.
learning styles
170.
learning systems
171.
learning technologies
172.
learning theories
173.
learning through the questionnaires
174.
learning university
175.
learning-to-rank
176.
lifelong learning
177.
long-short term learning
178.
machine learning
179.
machine learning (ML)
180.
machine learning algorithms
181.
machine learning approach
182.
Machine Learning Explainable model
183.
machine learning for environmental applications
184.
machine learning models
185.
machine learning systems
186.
machine-learning
187.
machine-learning predictive model
188.
mathematics students learning habits
189.
Meaningful learning
190.
measuring learning
191.
mobile learning
192.
model learning
193.
Multi-agent reinforcement learning
194.
multi-task learning
195.
mutual learning
196.
new learning models
197.
node embedding learning
198.
NREN e-learning
199.
on-device transfer learning
200.
online learning
201.
ontologies for learning systems
202.
ontology learning
203.
Open Learning Resources (OLR)
204.
organisational learning
205.
organizational learning
206.
organizational learning measurement instruments
207.
organizational learning rate dependence on management
208.
organizational learning rate measurement
209.
outcome oriented learning
210.
Parkinson’s disease machine learning
211.
peer‐to‐peer learning group
212.
personalised learning
213.
policy learning
214.
problem-based learning
215.
Problem-based learning (PBL)
216.
project learning
217.
project-based learning
218.
Q-learning
219.
Q-learning algorithm
220.
query learning
221.
regional learning
222.
reinforcement learning
223.
Reinforcement Learning (RL)
224.
relative learning performance
225.
Remote learning
226.
research-oriented learning
227.
reusable learning objects
228.
robust machine learning
229.
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230.
self learning software
231.
self learning system
232.
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233.
self-regulated learning
234.
semi-supervised learning
235.
sequence of learning activities
236.
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237.
small data machine learning
238.
smart learning
239.
smart learning environment
240.
social learning
241.
stochastic learning theory
242.
student centred learning
243.
supervised contrastive learning
244.
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245.
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246.
supervised machine learning
247.
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248.
zero-shot learning
249.
task based learning
250.
team learning
251.
Technological learning
252.
technology-enhanced learning
253.
the dimensions of the learning organisation
254.
the dimensions of the learning organization questionnaire (DLOQ)
255.
tools for interactive learning and teaching
256.
trans-disciplinary social-learning
257.
transfer learning
258.
true online reinforcement learning
259.
ubiquitous learning
260.
unsupervised learning
261.
unsupervised machine learning
262.
urban learning center
263.
value of learning
264.
web and computerbased learning
265.
Web and computer-based learning
266.
virtual collaborative learning environment (VCLE)
267.
virtual learning environment
268.
virtual learning factory
269.
work-based learning
270.
workplace learning
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ELIXIR Machine Learning Focus Group
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UNDP Urban Learning Center
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