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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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Article at WOS
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 ajakirjas
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
artikkel ajakirjas
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
8
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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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
9
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
10
artikkel ajakirjas
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
artikkel ajakirjas
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
11
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
12
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
13
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
Journal metrics at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Seotud publikatsioonid
1
Closed-loop droplet size control in microfluidics = Suletud ahelaga tilkade suuruse juhtimine mikrofluidikas
14
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
15
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
16
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
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
17
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
Journal metrics at Scopus
Article at Scopus
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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
18
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
Journal metrics at WOS
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
19
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
20
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
21
artikkel ajakirjas
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
artikkel ajakirjas
Seotud publikatsioonid
1
Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemid
22
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
https://doi.org/10.1016/j.eswa.2025.128893
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
23
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
Article at Scopus
Article at WOS
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
24
artikkel ajakirjas EST
/
artikkel ajakirjas 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
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
25
artikkel kogumikus
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
artikkel kogumikus
Seotud publikatsioonid
1
Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemid
Kirjeid leitud 45, kuvan
1 - 25
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võtmesõna
284
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.
naturally available deep eutectic solvents
41.
nZEB deep energy renovation
42.
nZEB deep renovation
43.
active blended learning
44.
active learning
45.
active learning and engagement
46.
active learning methods
47.
adaptive learning
48.
adversarial machine learning
49.
adversarial machine-learning
50.
algorithm controlling the learning process
51.
appetitive associative learning
52.
approach to learning
53.
Artificial Intelligence in learning
54.
Attitude to learning
55.
authoritarian learning
56.
automata learning
57.
automatic machine learning (autoML)
58.
bayesian learning
59.
BIM-enabled learning
60.
BIM-enabled learning environment
61.
biophilic learning environments
62.
blended learning
63.
business school as learning organization
64.
business school learning organization questionnaire (BSLOQ)
65.
business school learning rate dependence on GPD
66.
business school learning rate measurement instrument
67.
challenge-based learning
68.
Challenge-Based Learning (CBL)
69.
city-to-city learning
70.
client learning
71.
Collaborative e-learning
72.
collaborative learning
73.
competence based learning
74.
competence learning
75.
competence-based learning
76.
competency based learning
77.
Component organised learning (COL)
78.
computer assisted language learning
79.
computer based learning
80.
computer-assisted language learning (CALL)
81.
contrastive learning
82.
cooperative reinforcement learning
83.
coping with online teaching and learning
84.
customer learning
85.
data analytics and machine learning
86.
dictionary learning
87.
digital learning module
88.
digital remote learning
89.
Dimensions of Learning Organisation Questionnaire (DLOQ)
90.
distance learning
91.
distant learning
92.
distributed independent reinforcement learning
93.
double Q-learning
94.
effective teaching and learning
95.
e-learning
96.
e‐learning
97.
e-Learning course
98.
e-Learning database
99.
e-learning environment
100.
electronic learning
101.
Emergency remote learning
102.
ensemble learning
103.
enterprising and entrepreneurial learning
104.
entrepreneurial learning
105.
entrepreneurial teaching and learning
106.
ESG-learning
107.
experiential learning
108.
explainable machine learning
109.
Federated learning
110.
federated learning (FL)
111.
flexible learning
112.
game based learning
113.
game-based learning
114.
Gamified learning
115.
graph machine learning
116.
guided in-service learning
117.
hands-on-learning
118.
history learning
119.
horizontal federated learning
120.
human-centred learning
121.
hybrid learning
122.
Immersive Learning
123.
inclusive learning
124.
incremental learning
125.
inductive learning
126.
inductive learning algorithm
127.
interactive learning objects
128.
interdisciplinary learning
129.
interpretable machine learning
130.
inverse reinforcement learning
131.
investor learning
132.
iterative learning
133.
Kolb’s experiential learning cycle
134.
language learning
135.
Learner-centered learning environment
136.
learning
137.
learning (artificial intelligence)
138.
learning activities
139.
learning adaptation in autonomous vehicles
140.
learning algorithm
141.
learning analysis
142.
learning analytics
143.
learning and experimentation
144.
learning and health outcomes
145.
learning and memory
146.
learning business school
147.
learning by teaching
148.
learning concept
149.
learning content
150.
learning design
151.
learning difficulties
152.
Learning environment
153.
learning experience
154.
learning factory
155.
Learning from Demonstration
156.
learning infrastructures
157.
Learning Lab
158.
learning management
159.
learning management system
160.
learning management systems
161.
learning methodology
162.
learning metrics
163.
learning models
164.
learning motivation
165.
learning objectives
166.
learning objects
167.
learning organization
168.
learning orientation
169.
learning outcomes
170.
learning process
171.
learning processes
172.
learning rate
173.
learning rate dependence on ownership form
174.
learning rate of organization
175.
learning region
176.
learning situation
177.
learning software agents
178.
learning styles
179.
learning systems
180.
learning technologies
181.
learning theories
182.
learning through the questionnaires
183.
learning university
184.
learning-to-rank
185.
lifelong learning
186.
long-short term learning
187.
machine learning
188.
machine learning (ML)
189.
machine learning algorithms
190.
machine learning applications in power systems
191.
machine learning approach
192.
Machine Learning Explainable model
193.
machine learning for environmental applications
194.
machine learning models
195.
machine learning systems
196.
machine-learning
197.
machine-learning predictive model
198.
mathematics students learning habits
199.
Meaningful learning
200.
measuring learning
201.
mobile learning
202.
model learning
203.
Multi-agent reinforcement learning
204.
multi-task learning
205.
mutual learning
206.
new learning models
207.
node embedding learning
208.
NREN e-learning
209.
on-device transfer learning
210.
online learning
211.
ontologies for learning systems
212.
ontology learning
213.
Open Learning Resources (OLR)
214.
organisational learning
215.
organizational learning
216.
organizational learning measurement instruments
217.
organizational learning rate dependence on management
218.
organizational learning rate measurement
219.
outcome oriented learning
220.
Parkinson’s disease machine learning
221.
peer‐to‐peer learning group
222.
personalised learning
223.
personalized learning
224.
policy learning
225.
problem-based learning
226.
Problem-based learning (PBL)
227.
project learning
228.
project-based learning
229.
Q-learning
230.
Q-learning algorithm
231.
query learning
232.
regional learning
233.
reinforcement learning
234.
Reinforcement Learning (RL)
235.
relative learning performance
236.
Remote learning
237.
research-oriented learning
238.
reusable learning objects
239.
robust machine learning
240.
scholarship of teaching and learning
241.
self learning software
242.
self learning system
243.
self-learning
244.
self-regulated learning
245.
semi-supervised learning
246.
sequence of learning activities
247.
sequence to sequence learning
248.
sequential learning
249.
SIS problem, learning with errors
250.
small data machine learning
251.
smart learning
252.
smart learning environment
253.
social learning
254.
socio-emotional learning
255.
stochastic learning theory
256.
student centred learning
257.
supervised contrastive learning
258.
supervised learning
259.
supervised learning data
260.
supervised machine learning
261.
synchronous hybrid learning
262.
zero-shot learning
263.
task based learning
264.
team learning
265.
Technological learning
266.
technology-enhanced learning
267.
the dimensions of the learning organisation
268.
the dimensions of the learning organization questionnaire (DLOQ)
269.
tools for interactive learning and teaching
270.
trans-disciplinary social-learning
271.
transfer learning
272.
true online reinforcement learning
273.
ubiquitous learning
274.
unsupervised learning
275.
unsupervised machine learning
276.
urban learning center
277.
value of learning
278.
web and computerbased learning
279.
Web and computer-based learning
280.
virtual collaborative learning environment (VCLE)
281.
virtual learning environment
282.
virtual learning factory
283.
work-based learning
284.
workplace learning
autor
1
1.
ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
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