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