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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
Journal metrics at WOS
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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Article at WOS
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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271
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.
e-Learning database
94.
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95.
electronic learning
96.
Emergency remote learning
97.
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98.
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99.
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100.
entrepreneurial teaching and learning
101.
ESG-learning
102.
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103.
Federated learning
104.
federated learning (FL)
105.
flexible learning
106.
game based learning
107.
game-based learning
108.
graph machine learning
109.
guided in-service learning
110.
hands-on-learning
111.
history learning
112.
horizontal federated learning
113.
human-centred learning
114.
hybrid learning
115.
Immersive Learning
116.
incremental learning
117.
inductive learning
118.
inductive learning algorithm
119.
interactive learning objects
120.
interdisciplinary learning
121.
interpretable machine learning
122.
inverse reinforcement learning
123.
investor learning
124.
iterative learning
125.
Kolb’s experiential learning cycle
126.
language learning
127.
Learner-centered learning environment
128.
learning
129.
learning (artificial intelligence)
130.
learning activities
131.
learning adaptation in autonomous vehicles
132.
learning algorithm
133.
learning analysis
134.
learning analytics
135.
learning and experimentation
136.
learning and health outcomes
137.
learning and memory
138.
learning business school
139.
learning by teaching
140.
learning concept
141.
learning content
142.
learning design
143.
learning difficulties
144.
Learning environment
145.
learning experience
146.
learning factory
147.
Learning from Demonstration
148.
learning infrastructures
149.
Learning Lab
150.
learning management
151.
learning management system
152.
learning management systems
153.
learning methodology
154.
learning metrics
155.
learning models
156.
learning motivation
157.
learning objectives
158.
learning objects
159.
learning organization
160.
learning orientation
161.
learning outcomes
162.
learning process
163.
learning processes
164.
learning rate
165.
learning rate dependence on ownership form
166.
learning rate of organization
167.
learning region
168.
learning situation
169.
learning software agents
170.
learning styles
171.
learning systems
172.
learning technologies
173.
learning theories
174.
learning through the questionnaires
175.
learning university
176.
learning-to-rank
177.
lifelong learning
178.
long-short term learning
179.
machine learning
180.
machine learning (ML)
181.
machine learning algorithms
182.
machine learning approach
183.
Machine Learning Explainable model
184.
machine learning for environmental applications
185.
machine learning models
186.
machine learning systems
187.
machine-learning
188.
machine-learning predictive model
189.
mathematics students learning habits
190.
Meaningful learning
191.
measuring learning
192.
mobile learning
193.
model learning
194.
Multi-agent reinforcement learning
195.
multi-task learning
196.
mutual learning
197.
new learning models
198.
node embedding learning
199.
NREN e-learning
200.
on-device transfer learning
201.
online learning
202.
ontologies for learning systems
203.
ontology learning
204.
Open Learning Resources (OLR)
205.
organisational learning
206.
organizational learning
207.
organizational learning measurement instruments
208.
organizational learning rate dependence on management
209.
organizational learning rate measurement
210.
outcome oriented learning
211.
Parkinson’s disease machine learning
212.
peer‐to‐peer learning group
213.
personalised learning
214.
policy learning
215.
problem-based learning
216.
Problem-based learning (PBL)
217.
project learning
218.
project-based learning
219.
Q-learning
220.
Q-learning algorithm
221.
query learning
222.
regional learning
223.
reinforcement learning
224.
Reinforcement Learning (RL)
225.
relative learning performance
226.
Remote learning
227.
research-oriented learning
228.
reusable learning objects
229.
robust machine learning
230.
scholarship of teaching and learning
231.
self learning software
232.
self learning system
233.
self-learning
234.
self-regulated learning
235.
semi-supervised learning
236.
sequence of learning activities
237.
SIS problem, learning with errors
238.
small data machine learning
239.
smart learning
240.
smart learning environment
241.
social learning
242.
stochastic learning theory
243.
student centred learning
244.
supervised contrastive learning
245.
supervised learning
246.
supervised learning data
247.
supervised machine learning
248.
synchronous hybrid learning
249.
zero-shot learning
250.
task based learning
251.
team learning
252.
Technological learning
253.
technology-enhanced learning
254.
the dimensions of the learning organisation
255.
the dimensions of the learning organization questionnaire (DLOQ)
256.
tools for interactive learning and teaching
257.
trans-disciplinary social-learning
258.
transfer learning
259.
true online reinforcement learning
260.
ubiquitous learning
261.
unsupervised learning
262.
unsupervised machine learning
263.
urban learning center
264.
value of learning
265.
web and computerbased learning
266.
Web and computer-based learning
267.
virtual collaborative learning environment (VCLE)
268.
virtual learning environment
269.
virtual learning factory
270.
work-based learning
271.
workplace learning
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ELIXIR Machine Learning Focus Group
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UNDP Urban Learning Center
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