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1
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
2
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
3
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
4
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
5
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
6
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
7
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 ENG
8
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
9
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
10
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
11
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
12
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
13
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
14
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
15
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
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artikkel ajakirjas EST
/
artikkel ajakirjas ENG
16
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
17
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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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
18
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
19
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
20
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
21
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
22
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
23
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Learning from few cyber-attacks : addressing the class imbalance problem in machine learning-based intrusion detection in software-defined networking
Mirsadeghi, Seyed Mohammad Hadi
;
Bahsi, Hayretdin
;
Vaarandi, Risto
;
Inoubli, Wissem
IEEE Access
2023
/
p. 140428 - 140442
https://doi.org/10.1109/ACCESS.2023.3341755
Journal metrics at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
24
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Lidar-camera semi-supervised learning for semantic segmentation
Caltagirone, Luka
;
Bellone, Mauro
;
Svensson, Lennart
;
Wahde, Mattias
;
Sell, Raivo
Sensors
2021
/
art. 4813
https://doi.org/10.3390/s21144813
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artikkel ajakirjas EST
/
artikkel ajakirjas ENG
25
artikkel kogumikus EST
/
artikkel kogumikus ENG
A light-weight CNN model for efficient Parkinsons disease diagnostics
Wang, Xuechao
;
Huang, Junqing
;
Chatzakou, Marianna
;
Medijainen, Kadri
;
Taba, Pille
;
Toomela, Aaro
;
Nõmm, Sven
;
Ruzhansky, Michael
36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023, Aquila, 22-24 June 2023
2023
/
p. 616-621
https://doi.org/10.1109/CBMS58004.2023.00289
Conference proceedings at Scopus
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Kirjeid leitud 42, kuvan
1 - 25
eelmine
1
2
järgmine
võtmesõna
275
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.
nZEB deep energy renovation
41.
nZEB deep renovation
42.
active blended learning
43.
active learning
44.
active learning and engagement
45.
active learning methods
46.
adaptive learning
47.
adversarial machine learning
48.
adversarial machine-learning
49.
algorithm controlling the learning process
50.
appetitive associative learning
51.
approach to learning
52.
Attitude to learning
53.
authoritarian learning
54.
automata learning
55.
automatic machine learning (autoML)
56.
bayesian learning
57.
BIM-enabled learning
58.
BIM-enabled learning environment
59.
biophilic learning environments
60.
blended learning
61.
business school as learning organization
62.
business school learning organization questionnaire (BSLOQ)
63.
business school learning rate dependence on GPD
64.
business school learning rate measurement instrument
65.
challenge-based learning
66.
Challenge-Based Learning (CBL)
67.
client learning
68.
Collaborative e-learning
69.
collaborative learning
70.
competence based learning
71.
competence learning
72.
competence-based learning
73.
competency based learning
74.
Component organised learning (COL)
75.
computer assisted language learning
76.
computer based learning
77.
computer-assisted language learning (CALL)
78.
contrastive learning
79.
cooperative reinforcement learning
80.
coping with online teaching and learning
81.
customer learning
82.
data analytics and machine learning
83.
dictionary learning
84.
digital learning module
85.
digital remote learning
86.
Dimensions of Learning Organisation Questionnaire (DLOQ)
87.
distance learning
88.
distant learning
89.
distributed independent reinforcement learning
90.
double Q-learning
91.
effective teaching and learning
92.
e-learning
93.
e‐learning
94.
e-Learning course
95.
e-Learning database
96.
e-learning environment
97.
electronic learning
98.
Emergency remote learning
99.
ensemble learning
100.
enterprising and entrepreneurial learning
101.
entrepreneurial learning
102.
entrepreneurial teaching and learning
103.
ESG-learning
104.
experiential learning
105.
Federated learning
106.
federated learning (FL)
107.
flexible learning
108.
game based learning
109.
game-based learning
110.
graph machine learning
111.
guided in-service learning
112.
hands-on-learning
113.
history learning
114.
horizontal federated learning
115.
human-centred learning
116.
hybrid learning
117.
Immersive Learning
118.
incremental learning
119.
inductive learning
120.
inductive learning algorithm
121.
interactive learning objects
122.
interdisciplinary learning
123.
interpretable machine learning
124.
inverse reinforcement learning
125.
investor learning
126.
iterative learning
127.
Kolb’s experiential learning cycle
128.
language learning
129.
Learner-centered learning environment
130.
learning
131.
learning (artificial intelligence)
132.
learning activities
133.
learning adaptation in autonomous vehicles
134.
learning algorithm
135.
learning analysis
136.
learning analytics
137.
learning and experimentation
138.
learning and health outcomes
139.
learning and memory
140.
learning business school
141.
learning by teaching
142.
learning concept
143.
learning content
144.
learning design
145.
learning difficulties
146.
Learning environment
147.
learning experience
148.
learning factory
149.
Learning from Demonstration
150.
learning infrastructures
151.
Learning Lab
152.
learning management
153.
learning management system
154.
learning management systems
155.
learning methodology
156.
learning metrics
157.
learning models
158.
learning motivation
159.
learning objectives
160.
learning objects
161.
learning organization
162.
learning orientation
163.
learning outcomes
164.
learning process
165.
learning processes
166.
learning rate
167.
learning rate dependence on ownership form
168.
learning rate of organization
169.
learning region
170.
learning situation
171.
learning software agents
172.
learning styles
173.
learning systems
174.
learning technologies
175.
learning theories
176.
learning through the questionnaires
177.
learning university
178.
learning-to-rank
179.
lifelong learning
180.
long-short term learning
181.
machine learning
182.
machine learning (ML)
183.
machine learning algorithms
184.
machine learning approach
185.
Machine Learning Explainable model
186.
machine learning for environmental applications
187.
machine learning models
188.
machine learning systems
189.
machine-learning
190.
machine-learning predictive model
191.
mathematics students learning habits
192.
Meaningful learning
193.
measuring learning
194.
mobile learning
195.
model learning
196.
Multi-agent reinforcement learning
197.
multi-task learning
198.
mutual learning
199.
new learning models
200.
node embedding learning
201.
NREN e-learning
202.
on-device transfer learning
203.
online learning
204.
ontologies for learning systems
205.
ontology learning
206.
Open Learning Resources (OLR)
207.
organisational learning
208.
organizational learning
209.
organizational learning measurement instruments
210.
organizational learning rate dependence on management
211.
organizational learning rate measurement
212.
outcome oriented learning
213.
Parkinson’s disease machine learning
214.
peer‐to‐peer learning group
215.
personalised learning
216.
Personalized learning
217.
policy learning
218.
problem-based learning
219.
Problem-based learning (PBL)
220.
project learning
221.
project-based learning
222.
Q-learning
223.
Q-learning algorithm
224.
query learning
225.
regional learning
226.
reinforcement learning
227.
Reinforcement Learning (RL)
228.
relative learning performance
229.
Remote learning
230.
research-oriented learning
231.
reusable learning objects
232.
robust machine learning
233.
scholarship of teaching and learning
234.
self learning software
235.
self learning system
236.
self-learning
237.
self-regulated learning
238.
semi-supervised learning
239.
sequence of learning activities
240.
SIS problem, learning with errors
241.
small data machine learning
242.
smart learning
243.
smart learning environment
244.
social learning
245.
socio-emotional learning
246.
stochastic learning theory
247.
student centred learning
248.
supervised contrastive learning
249.
supervised learning
250.
supervised learning data
251.
supervised machine learning
252.
synchronous hybrid learning
253.
zero-shot learning
254.
task based learning
255.
team learning
256.
Technological learning
257.
technology-enhanced learning
258.
the dimensions of the learning organisation
259.
the dimensions of the learning organization questionnaire (DLOQ)
260.
tools for interactive learning and teaching
261.
trans-disciplinary social-learning
262.
transfer learning
263.
true online reinforcement learning
264.
ubiquitous learning
265.
unsupervised learning
266.
unsupervised machine learning
267.
urban learning center
268.
value of learning
269.
web and computerbased learning
270.
Web and computer-based learning
271.
virtual collaborative learning environment (VCLE)
272.
virtual learning environment
273.
virtual learning factory
274.
work-based learning
275.
workplace learning
autor
1
1.
ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
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