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