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1
journal article EST
/
journal article ENG
Adaptive Deep Belief Networks and LightGBM-Based Hybrid Fault Diagnostics for SCADA-Managed PV Systems : A Real-World Case Study
Kull, Karl
;
Khan, Muhammad Amir
;
Asad, Bilal
;
Naseer, Muhammad Usman
;
Kallaste, Ants
;
Vaimann, Toomas
Electronics
2025
/
art. 3649
https://doi.org/10.3390/electronics14183649
journal article EST
/
journal article ENG
2
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
3
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
4
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
5
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
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
6
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
7
book article
Bridging quantization and deployment : a fixed-point workflow for FPGA accelerators
Mogaka, Obed M.
;
Forsberg, Hakan
;
Daneshtalab, Masoud
2025 IEEE 28th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS)
2025
/
p. 123-126
https://doi.org/10.1109/DDECS63720.2025.11006791
Article at Scopus
Article at WOS
book article
8
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
9
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
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
10
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
11
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
12
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
13
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
14
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
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Related publications
1
Closed-loop droplet size control in microfluidics = Suletud ahelaga tilkade suuruse juhtimine mikrofluidikas
15
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
16
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
17
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
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
18
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
Related publications
1
Reliable object recognition and assessment in adverse weather and environmental conditions = Usaldusväärne objektide tuvastamine ja hindamine ebasoodsates ilmastiku- ja keskkonnatingimustes
19
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
Journal metrics at WOS
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
20
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
21
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
22
journal article
Federated Learning of Explainable AI(FedXAI) for deep learning-based intrusion detection in IoT networks
Kalakoti, Rajesh
;
Nõmm, Sven
;
Bahsi, Hayretdin
Computer networks
2025
/
art. 111479, 23 p. : ill
https://doi.org/10.1016/j.comnet.2025.111479
journal article
Related publications
1
Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemid
23
journal article EST
/
journal article ENG
Frequency domain complex-valued convolutional neural network
Chakraborty, Mainak
;
Aryapoor, Masood
;
Daneshtalab, Masoud
Expert Systems with Applications
2026
/
art. 128893
https://doi.org/10.1016/j.eswa.2025.128893
journal article EST
/
journal article ENG
24
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
25
journal article EST
/
journal article ENG
An Improved Hybrid Lightweight Approach for Bearing Fault Detection and Classification in Three-Phase Squirrel Cage Induction Motors
Khan, Muhammad Amir
;
Asad, Bilal
;
Naseer, Muhammad Usman
;
Vaimann, Toomas
;
Kallaste, Ants
Machines
2026
/
art. 68
https://doi.org/10.3390/machines14010068
journal article EST
/
journal article ENG
Number of records 46, displaying
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287
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 Q-network
37.
deep renovation
38.
deep understanding
39.
deep UV emission
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.
BIM-enabled learning
63.
BIM-enabled learning environment
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.
competence based learning
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.
computer-assisted language learning (CALL)
84.
contrastive learning
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.
e‐learning
100.
e-Learning course
101.
e-Learning database
102.
e-learning environment
103.
electronic learning
104.
Emergency remote learning
105.
ensemble learning
106.
enterprising and entrepreneurial learning
107.
entrepreneurial learning
108.
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109.
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110.
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111.
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112.
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113.
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114.
flexible learning
115.
game based learning
116.
game-based learning
117.
Gamified learning
118.
graph machine learning
119.
guided in-service learning
120.
hands-on-learning
121.
history learning
122.
horizontal federated learning
123.
human-centred learning
124.
hybrid learning
125.
Immersive Learning
126.
inclusive learning
127.
incremental learning
128.
inductive learning
129.
inductive learning algorithm
130.
interactive learning objects
131.
interdisciplinary learning
132.
interpretable machine learning
133.
inverse reinforcement learning
134.
investor learning
135.
iterative learning
136.
Kolb’s experiential learning cycle
137.
language learning
138.
Learner-centered learning environment
139.
learning
140.
learning (artificial intelligence)
141.
learning activities
142.
learning adaptation in autonomous vehicles
143.
learning algorithm
144.
learning analysis
145.
learning analytics
146.
learning and experimentation
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.
learning infrastructures
160.
Learning Lab
161.
learning management
162.
learning management system
163.
learning management systems
164.
learning methodology
165.
learning metrics
166.
learning models
167.
learning motivation
168.
learning objectives
169.
learning objects
170.
learning organization
171.
learning orientation
172.
learning outcomes
173.
learning process
174.
learning processes
175.
learning rate
176.
learning rate dependence on ownership form
177.
learning rate of organization
178.
learning region
179.
learning situation
180.
learning software agents
181.
learning styles
182.
learning systems
183.
learning technologies
184.
learning theories
185.
learning through the questionnaires
186.
learning university
187.
learning-to-rank
188.
lifelong learning
189.
long-short term learning
190.
machine learning
191.
machine learning (ML)
192.
machine learning algorithms
193.
machine learning applications in power systems
194.
machine learning approach
195.
Machine Learning Explainable model
196.
machine learning for environmental applications
197.
machine learning models
198.
machine learning systems
199.
machine-learning
200.
machine-learning predictive model
201.
mathematics students learning habits
202.
Meaningful learning
203.
measuring learning
204.
mobile learning
205.
model learning
206.
Multi-agent reinforcement learning
207.
multi-task learning
208.
mutual learning
209.
new learning models
210.
node embedding learning
211.
NREN e-learning
212.
on-device transfer learning
213.
online learning
214.
ontologies for learning systems
215.
ontology learning
216.
Open Learning Resources (OLR)
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.
personalized learning
227.
policy learning
228.
problem-based learning
229.
Problem-based learning (PBL)
230.
project learning
231.
project-based learning
232.
Q-learning
233.
Q-learning algorithm
234.
query learning
235.
regional learning
236.
reinforcement learning
237.
Reinforcement Learning (RL)
238.
relative learning performance
239.
Remote learning
240.
research-oriented learning
241.
reusable learning objects
242.
robust machine learning
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.
sequence of learning activities
250.
sequence to sequence learning
251.
sequential learning
252.
SIS problem, learning with errors
253.
small data machine learning
254.
smart learning
255.
smart learning environment
256.
social learning
257.
socio-emotional learning
258.
stochastic learning theory
259.
student centred learning
260.
supervised contrastive learning
261.
supervised learning
262.
supervised learning data
263.
supervised machine learning
264.
synchronous hybrid learning
265.
zero-shot learning
266.
task based learning
267.
team learning
268.
Technological learning
269.
technology-enhanced learning
270.
the dimensions of the learning organisation
271.
the dimensions of the learning organization questionnaire (DLOQ)
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.
work-based learning
287.
workplace learning
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ELIXIR Machine Learning Focus Group
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UNDP Urban Learning Center
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