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