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1
artikkel ajakirjas EST
/
artikkel ajakirjas 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
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
2
artikkel kogumikus
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
artikkel kogumikus
3
artikkel kogumikus
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
artikkel kogumikus
Seotud publikatsioonid
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
4
artikkel kogumikus
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
artikkel kogumikus
5
artikkel ajakirjas EST
/
artikkel ajakirjas 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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artikkel ajakirjas EST
/
artikkel ajakirjas ENG
6
artikkel kogumikus EST
/
artikkel kogumikus 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
artikkel kogumikus EST
/
artikkel kogumikus ENG
7
artikkel kogumikus
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
artikkel kogumikus
8
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
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
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artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Seotud publikatsioonid
1
Artificial Intelligence-Based Predictive Analytics for Battery Energy Storage Systems in Electric Vehicle Applications = Tehisintellektil põhinev ennustav andmeanalüüs akupõhiste energiasalvestussüsteemide jaoks elektrisõidukites
9
artikkel ajakirjas EST
/
artikkel ajakirjas 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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artikkel ajakirjas EST
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artikkel ajakirjas ENG
10
artikkel kogumikus
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
artikkel kogumikus
Seotud publikatsioonid
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
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
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
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Article at Scopus
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Seotud publikatsioonid
1
Artificial Intelligence-Based Predictive Analytics for Battery Energy Storage Systems in Electric Vehicle Applications = Tehisintellektil põhinev ennustav andmeanalüüs akupõhiste energiasalvestussüsteemide jaoks elektrisõidukites
12
artikkel kogumikus
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
artikkel kogumikus
13
artikkel ajakirjas
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
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
14
artikkel ajakirjas EST
/
artikkel ajakirjas 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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artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Seotud publikatsioonid
1
Closed-loop droplet size control in microfluidics = Suletud ahelaga tilkade suuruse juhtimine mikrofluidikas
15
artikkel kogumikus EST
/
artikkel kogumikus 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
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
16
artikkel kogumikus
Drawing Strategies Analysis for the Embedded Figure Tests
Nõmm, Sven
;
Tarvas, Peeter
;
Selau, Bento
;
Salomao, Soraya Jesus
;
Toomela, Aaro
Recent Challenges in Intelligent Information and Database Systems (ACIIDS 2025) : 17th Asian Conference, ACIIDS 2025 Kitakyushu, Japan, April 23–25, 2025 : Proceedings, Part II
2025
/
p. 3–14 : ill
https://doi.org/10.1007/978-981-96-5884-8_1
artikkel kogumikus
17
artikkel kogumikus
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.
artikkel kogumikus
Seotud publikatsioonid
1
Novel Neural Network accelerator architectures for FPGAs = Uudsed närvivõrkude kiirendite arhitektuurid FPGAdele
18
artikkel ajakirjas EST
/
artikkel ajakirjas 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
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
19
artikkel ajakirjas EST
/
artikkel ajakirjas 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
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Seotud publikatsioonid
1
Reliable object recognition and assessment in adverse weather and environmental conditions = Usaldusväärne objektide tuvastamine ja hindamine ebasoodsates ilmastiku- ja keskkonnatingimustes
20
artikkel ajakirjas EST
/
artikkel ajakirjas 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
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
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
21
artikkel ajakirjas
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
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
22
artikkel kogumikus
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
artikkel kogumikus
23
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
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
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Seotud publikatsioonid
1
Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemid
24
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Frequency domain complex-valued convolutional neural network
Chakraborty, Mainak
;
Aryapoor, Masood
;
Daneshtalab, Masoud
Expert Systems with Applications
2026
/
art. 128893, 22 p. : ill
https://doi.org/10.1016/j.eswa.2025.128893
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
25
artikkel ajakirjas EST
/
artikkel ajakirjas 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
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artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Seotud publikatsioonid
1
Leveraging artificial intelligence for microkinematic analysis of fine motor skills in Parkinson’s disease detection = Tehisintellekti rakendamine peenmotoorika mikrokinemaatilises analüüsis Parkinsoni tõve tuvastamiseks
Kirjeid leitud 48, kuvan
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võtmesõna
298
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.
Multi-agent deep reinforcement learning
15.
deep donor-deep acceptor pairs
16.
deep brain stimulation
17.
deep convolutional neural network
18.
Deep defects
19.
deep energy levels
20.
deep energy renovation
21.
deep eutectic solvents
22.
deep fake
23.
deep fake recognition
24.
deep habits
25.
deep heat well
26.
deep inference
27.
deep layer
28.
deep level
29.
deep level traps
30.
deep levels
31.
deep neural network
32.
deep neural network compression
33.
deep neural networks
34.
deep neural networks (DNNs)
35.
deep offshore
36.
deep packet inspection
37.
deep Q-network
38.
deep renovation
39.
deep understanding
40.
deep UV emission
41.
deep-sea mining
42.
deep-tech
43.
double deep Q-network
44.
natural deep eutectic solvents
45.
naturally available deep eutectic solvents
46.
nZEB deep energy renovation
47.
nZEB deep renovation
48.
active blended learning
49.
active learning
50.
active learning and engagement
51.
active learning methods
52.
adaptive learning
53.
adversarial machine learning
54.
adversarial machine-learning
55.
algorithm controlling the learning process
56.
appetitive associative learning
57.
approach to learning
58.
Artificial Intelligence in learning
59.
Attitude to learning
60.
authoritarian learning
61.
automata learning
62.
automatic machine learning (autoML)
63.
bayesian learning
64.
BIM-enabled learning
65.
BIM-enabled learning environment
66.
biophilic learning environments
67.
blended learning
68.
business school as learning organization
69.
business school learning organization questionnaire (BSLOQ)
70.
business school learning rate dependence on GPD
71.
business school learning rate measurement instrument
72.
challenge-based learning
73.
Challenge-Based Learning (CBL)
74.
city-to-city learning
75.
client learning
76.
Collaborative e-learning
77.
collaborative learning
78.
competence based learning
79.
competence learning
80.
competence-based learning
81.
competency based learning
82.
Component organised learning (COL)
83.
computer assisted language learning
84.
computer based learning
85.
computer-assisted language learning (CALL)
86.
context-aware learning system
87.
contrastive learning
88.
cooperative reinforcement learning
89.
coping with online teaching and learning
90.
customer learning
91.
data analytics and machine learning
92.
dictionary learning
93.
digital learning module
94.
digital learning tool design development
95.
digital remote learning
96.
Dimensions of Learning Organisation Questionnaire (DLOQ)
97.
distance learning
98.
distant learning
99.
distributed independent reinforcement learning
100.
double Q-learning
101.
effective teaching and learning
102.
e-learning
103.
e‐learning
104.
e-Learning course
105.
e-Learning database
106.
e-learning environment
107.
electronic learning
108.
Emergency remote learning
109.
ensemble learning
110.
enterprising and entrepreneurial learning
111.
entrepreneurial learning
112.
entrepreneurial teaching and learning
113.
ESG-learning
114.
experiential learning
115.
explainable machine learning
116.
Federated learning
117.
federated learning (FL)
118.
flexible learning
119.
game based learning
120.
game-based learning
121.
Gamified learning
122.
graph machine learning
123.
guided in-service learning
124.
hands-on learning
125.
hands-on-learning
126.
history learning
127.
horizontal federated learning
128.
human-centred learning
129.
hybrid learning
130.
Immersive Learning
131.
inclusive learning
132.
incremental learning
133.
inductive learning
134.
inductive learning algorithm
135.
interactive learning objects
136.
interdisciplinary learning
137.
interpretable machine learning
138.
inverse reinforcement learning
139.
investor learning
140.
iterative learning
141.
Kolb’s experiential learning cycle
142.
language learning
143.
Learner-centered learning environment
144.
learning
145.
learning (artificial intelligence)
146.
learning activities
147.
learning adaptation in autonomous vehicles
148.
learning algorithm
149.
learning analysis
150.
learning analytics
151.
learning and experimentation
152.
learning and health outcomes
153.
learning and memory
154.
learning business school
155.
learning by teaching
156.
learning concept
157.
learning content
158.
learning design
159.
learning difficulties
160.
Learning environment
161.
learning experience
162.
learning factory
163.
Learning from Demonstration
164.
learning infrastructures
165.
Learning Lab
166.
learning management
167.
learning management system
168.
learning management systems
169.
learning methodology
170.
learning metrics
171.
learning models
172.
learning motivation
173.
learning objectives
174.
learning objects
175.
learning organization
176.
learning orientation
177.
learning outcomes
178.
learning process
179.
learning processes
180.
learning rate
181.
learning rate dependence on ownership form
182.
learning rate of organization
183.
learning region
184.
learning situation
185.
learning software agents
186.
learning styles
187.
learning systems
188.
learning technologies
189.
learning theories
190.
learning through the questionnaires
191.
learning university
192.
learning-to-rank
193.
lifelong learning
194.
long-short term learning
195.
machine learning
196.
machine learning (ML)
197.
machine learning algorithms
198.
machine learning applications in power systems
199.
machine learning approach
200.
Machine Learning Explainable model
201.
machine learning for environmental applications
202.
machine learning models
203.
machine learning systems
204.
machine-learning
205.
machine-learning control
206.
machine-learning predictive model
207.
mathematics students learning habits
208.
Meaningful learning
209.
measuring learning
210.
mobile learning
211.
model learning
212.
Multi-agent reinforcement learning
213.
multi-task learning
214.
mutual learning
215.
new learning models
216.
node embedding learning
217.
NREN e-learning
218.
on-device transfer learning
219.
online distance learning
220.
online learning
221.
ontologies for learning systems
222.
ontology learning
223.
Open Learning Resources (OLR)
224.
organisational learning
225.
organizational learning
226.
organizational learning measurement instruments
227.
organizational learning rate dependence on management
228.
organizational learning rate measurement
229.
outcome oriented learning
230.
Parkinson’s disease machine learning
231.
peer‐to‐peer learning group
232.
personalised learning
233.
personalized learning
234.
policy learning
235.
probability-informed machine learning
236.
problem-based learning
237.
Problem-based learning (PBL)
238.
project based learning
239.
project learning
240.
project-based learning
241.
Q-learning
242.
Q-learning algorithm
243.
query learning
244.
regional learning
245.
reinforcement learning
246.
Reinforcement Learning (RL)
247.
relative learning performance
248.
Remote learning
249.
research-oriented learning
250.
reusable learning objects
251.
robust machine learning
252.
scholarship of teaching and learning
253.
second language learning
254.
self learning software
255.
self learning system
256.
self-learning
257.
self-regulated learning
258.
semi-supervised learning
259.
sequence of learning activities
260.
sequence to sequence learning
261.
sequential learning
262.
SIS problem, learning with errors
263.
small data machine learning
264.
smart learning
265.
smart learning environment
266.
social learning
267.
socio-emotional learning
268.
Statistical Machine learning
269.
stochastic learning theory
270.
student centred learning
271.
supervised contrastive learning
272.
supervised learning
273.
supervised learning data
274.
supervised machine learning
275.
synchronous hybrid learning
276.
zero-shot learning
277.
task based learning
278.
team learning
279.
Technological learning
280.
technology-enhanced learning
281.
the dimensions of the learning organisation
282.
the dimensions of the learning organization questionnaire (DLOQ)
283.
tools for interactive learning and teaching
284.
trans-disciplinary social-learning
285.
transfer learning
286.
true online reinforcement learning
287.
ubiquitous learning
288.
unsupervised learning
289.
unsupervised machine learning
290.
urban learning center
291.
value of learning
292.
web and computerbased learning
293.
Web and computer-based learning
294.
virtual collaborative learning environment (VCLE)
295.
virtual learning environment
296.
virtual learning factory
297.
work-based learning
298.
workplace learning
autor
1
1.
ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
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