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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
Seotud publikatsioonid
1
Reliable object recognition and assessment in adverse weather and environmental conditions = Usaldusväärne objektide tuvastamine ja hindamine ebasoodsates ilmastiku- ja keskkonnatingimustes
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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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
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
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
22
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
23
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
24
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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artikkel ajakirjas EST
/
artikkel ajakirjas ENG
25
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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Kirjeid leitud 43, kuvan
1 - 25
eelmine
1
2
järgmine
võtmesõna
283
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 approach
191.
Machine Learning Explainable model
192.
machine learning for environmental applications
193.
machine learning models
194.
machine learning systems
195.
machine-learning
196.
machine-learning predictive model
197.
mathematics students learning habits
198.
Meaningful learning
199.
measuring learning
200.
mobile learning
201.
model learning
202.
Multi-agent reinforcement learning
203.
multi-task learning
204.
mutual learning
205.
new learning models
206.
node embedding learning
207.
NREN e-learning
208.
on-device transfer learning
209.
online learning
210.
ontologies for learning systems
211.
ontology learning
212.
Open Learning Resources (OLR)
213.
organisational learning
214.
organizational learning
215.
organizational learning measurement instruments
216.
organizational learning rate dependence on management
217.
organizational learning rate measurement
218.
outcome oriented learning
219.
Parkinson’s disease machine learning
220.
peer‐to‐peer learning group
221.
personalised learning
222.
personalized learning
223.
policy learning
224.
problem-based learning
225.
Problem-based learning (PBL)
226.
project learning
227.
project-based learning
228.
Q-learning
229.
Q-learning algorithm
230.
query learning
231.
regional learning
232.
reinforcement learning
233.
Reinforcement Learning (RL)
234.
relative learning performance
235.
Remote learning
236.
research-oriented learning
237.
reusable learning objects
238.
robust machine learning
239.
scholarship of teaching and learning
240.
self learning software
241.
self learning system
242.
self-learning
243.
self-regulated learning
244.
semi-supervised learning
245.
sequence of learning activities
246.
sequence to sequence learning
247.
sequential learning
248.
SIS problem, learning with errors
249.
small data machine learning
250.
smart learning
251.
smart learning environment
252.
social learning
253.
socio-emotional learning
254.
stochastic learning theory
255.
student centred learning
256.
supervised contrastive learning
257.
supervised learning
258.
supervised learning data
259.
supervised machine learning
260.
synchronous hybrid learning
261.
zero-shot learning
262.
task based learning
263.
team learning
264.
Technological learning
265.
technology-enhanced learning
266.
the dimensions of the learning organisation
267.
the dimensions of the learning organization questionnaire (DLOQ)
268.
tools for interactive learning and teaching
269.
trans-disciplinary social-learning
270.
transfer learning
271.
true online reinforcement learning
272.
ubiquitous learning
273.
unsupervised learning
274.
unsupervised machine learning
275.
urban learning center
276.
value of learning
277.
web and computerbased learning
278.
Web and computer-based learning
279.
virtual collaborative learning environment (VCLE)
280.
virtual learning environment
281.
virtual learning factory
282.
work-based learning
283.
workplace learning
autor
1
1.
ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
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