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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
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artikkel ajakirjas EST
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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
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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
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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
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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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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
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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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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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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
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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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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 49, kuvan
1 - 25
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võtmesõna
303
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 networks
38.
deep Q-network
39.
deep renovation
40.
deep sets
41.
deep understanding
42.
deep UV emission
43.
deep-sea mining
44.
deep-tech
45.
double deep Q-network
46.
natural deep eutectic solvents
47.
naturally available deep eutectic solvents
48.
nZEB deep energy renovation
49.
nZEB deep renovation
50.
active blended learning
51.
active learning
52.
active learning and engagement
53.
active learning methods
54.
adaptive learning
55.
adult learning
56.
adversarial machine learning
57.
adversarial machine-learning
58.
algorithm controlling the learning process
59.
appetitive associative learning
60.
approach to learning
61.
Artificial Intelligence in learning
62.
Attitude to learning
63.
authoritarian learning
64.
automata learning
65.
automatic machine learning (autoML)
66.
bayesian learning
67.
BIM-based learning
68.
BIM-enabled learning
69.
BIM-enabled learning environment
70.
biophilic learning environments
71.
blended learning
72.
business school as learning organization
73.
business school learning organization questionnaire (BSLOQ)
74.
business school learning rate dependence on GPD
75.
business school learning rate measurement instrument
76.
challenge-based learning
77.
Challenge-Based Learning (CBL)
78.
city-to-city learning
79.
client learning
80.
Collaborative e-learning
81.
collaborative learning
82.
competence based learning
83.
competence learning
84.
competence-based learning
85.
competency based learning
86.
Component organised learning (COL)
87.
computer assisted language learning
88.
computer based learning
89.
computer-assisted language learning (CALL)
90.
context-aware learning system
91.
contrastive learning
92.
cooperative reinforcement learning
93.
coping with online teaching and learning
94.
customer learning
95.
data analytics and machine learning
96.
dictionary learning
97.
digital learning module
98.
digital learning tool design development
99.
digital remote learning
100.
Dimensions of Learning Organisation Questionnaire (DLOQ)
101.
distance learning
102.
distant learning
103.
distributed independent reinforcement learning
104.
double Q-learning
105.
effective teaching and learning
106.
e-learning
107.
e‐learning
108.
e-Learning course
109.
e-Learning database
110.
e-learning environment
111.
electronic learning
112.
Emergency remote learning
113.
ensemble learning
114.
enterprising and entrepreneurial learning
115.
entrepreneurial learning
116.
entrepreneurial teaching and learning
117.
ESG-learning
118.
experiential learning
119.
explainable machine learning
120.
Federated learning
121.
federated learning (FL)
122.
flexible learning
123.
game based learning
124.
game-based learning
125.
Gamified learning
126.
graph machine learning
127.
guided in-service learning
128.
hands-on learning
129.
hands-on-learning
130.
history learning
131.
horizontal federated learning
132.
human-centred learning
133.
hybrid learning
134.
Immersive Learning
135.
inclusive learning
136.
incremental learning
137.
inductive learning
138.
inductive learning algorithm
139.
interactive learning objects
140.
interdisciplinary learning
141.
interpretable machine learning
142.
inverse reinforcement learning
143.
investor learning
144.
iterative learning
145.
Kolb’s experiential learning cycle
146.
language learning
147.
Learner-centered learning environment
148.
learning
149.
learning (artificial intelligence)
150.
learning activities
151.
learning adaptation in autonomous vehicles
152.
learning algorithm
153.
learning analysis
154.
learning analytics
155.
learning and experimentation
156.
learning and health outcomes
157.
learning and memory
158.
learning business school
159.
learning by teaching
160.
learning concept
161.
learning content
162.
learning design
163.
learning difficulties
164.
Learning environment
165.
learning experience
166.
learning factory
167.
Learning from Demonstration
168.
learning infrastructures
169.
Learning Lab
170.
learning management
171.
learning management system
172.
learning management systems
173.
learning methodology
174.
learning metrics
175.
learning models
176.
learning motivation
177.
learning objectives
178.
learning objects
179.
learning organization
180.
learning orientation
181.
learning outcomes
182.
learning process
183.
learning processes
184.
learning rate
185.
learning rate dependence on ownership form
186.
learning rate of organization
187.
learning region
188.
learning situation
189.
learning software agents
190.
learning styles
191.
learning systems
192.
learning technologies
193.
learning theories
194.
learning through the questionnaires
195.
learning university
196.
learning-to-rank
197.
lifelong learning
198.
long-short term learning
199.
machine learning
200.
machine learning (ML)
201.
machine learning algorithms
202.
machine learning applications in power systems
203.
machine learning approach
204.
Machine Learning Explainable model
205.
machine learning for environmental applications
206.
machine learning models
207.
machine learning systems
208.
machine-learning
209.
machine-learning control
210.
machine-learning predictive model
211.
mathematics students learning habits
212.
Meaningful learning
213.
measuring learning
214.
mobile learning
215.
model learning
216.
Multi-agent reinforcement learning
217.
multi-task learning
218.
mutual learning
219.
new learning models
220.
node embedding learning
221.
NREN e-learning
222.
on-device transfer learning
223.
online distance learning
224.
online learning
225.
ontologies for learning systems
226.
ontology learning
227.
Open Learning Resources (OLR)
228.
organisational learning
229.
organizational learning
230.
organizational learning measurement instruments
231.
organizational learning rate dependence on management
232.
organizational learning rate measurement
233.
outcome oriented learning
234.
Parkinson’s disease machine learning
235.
peer‐to‐peer learning group
236.
personalised learning
237.
personalized learning
238.
personalized learning in higher education
239.
policy learning
240.
probability-informed machine learning
241.
problem-based learning
242.
Problem-based learning (PBL)
243.
project based learning
244.
project learning
245.
project-based learning
246.
Q-learning
247.
Q-learning algorithm
248.
query learning
249.
regional learning
250.
reinforcement learning
251.
Reinforcement Learning (RL)
252.
relative learning performance
253.
Remote learning
254.
research-oriented learning
255.
reusable learning objects
256.
robust machine learning
257.
scholarship of teaching and learning
258.
second language learning
259.
self learning software
260.
self learning system
261.
self-learning
262.
self-regulated learning
263.
semi-supervised learning
264.
sequence of learning activities
265.
sequence to sequence learning
266.
sequential learning
267.
SIS problem, learning with errors
268.
small data machine learning
269.
smart learning
270.
smart learning environment
271.
social learning
272.
socio-emotional learning
273.
Statistical Machine learning
274.
stochastic learning theory
275.
student centred learning
276.
supervised contrastive learning
277.
supervised learning
278.
supervised learning data
279.
supervised machine learning
280.
synchronous hybrid learning
281.
zero-shot learning
282.
task based learning
283.
team learning
284.
Technological learning
285.
technology-enhanced learning
286.
the dimensions of the learning organisation
287.
the dimensions of the learning organization questionnaire (DLOQ)
288.
tools for interactive learning and teaching
289.
trans-disciplinary social-learning
290.
transfer learning
291.
true online reinforcement learning
292.
ubiquitous learning
293.
unsupervised learning
294.
unsupervised machine learning
295.
urban learning center
296.
value of learning
297.
web and computerbased learning
298.
Web and computer-based learning
299.
virtual collaborative learning environment (VCLE)
300.
virtual learning environment
301.
virtual learning factory
302.
work-based learning
303.
workplace learning
autor
1
1.
ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
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