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1
book article
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
book article
2
book article
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
book article
Related publications
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
3
book article
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
book article
4
journal article EST
/
journal article 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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journal article EST
/
journal article ENG
5
book article EST
/
book article 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
book article EST
/
book article ENG
6
journal article
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
journal article
Related publications
1
Artificial Intelligence-Based Predictive Analytics for Battery Energy Storage Systems in Electric Vehicle Applications = Tehisintellektil põhinev ennustav andmeanalüüs akupõhiste energiasalvestussüsteemide jaoks elektrisõidukites
7
book article
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
book article
Related publications
1
Leveraging artificial intelligence for microkinematic analysis of fine motor skills in Parkinson’s disease detection = Tehisintellekti rakendamine peenmotoorika mikrokinemaatilises analüüsis Parkinsoni tõve tuvastamiseks
8
journal article
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
journal article
Related publications
1
Artificial Intelligence-Based Predictive Analytics for Battery Energy Storage Systems in Electric Vehicle Applications = Tehisintellektil põhinev ennustav andmeanalüüs akupõhiste energiasalvestussüsteemide jaoks elektrisõidukites
9
book article
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
book article
10
journal article
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
journal article
Related publications
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
11
journal article EST
/
journal article 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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/
journal article ENG
Related publications
1
Closed-loop droplet size control in microfluidics = Suletud ahelaga tilkade suuruse juhtimine mikrofluidikas
12
book article EST
/
book article 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
book article EST
/
book article ENG
Related publications
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
13
book article
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.
book article
Related publications
1
Novel Neural Network accelerator architectures for FPGAs = Uudsed närvivõrkude kiirendite arhitektuurid FPGAdele
14
journal article
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 article
15
journal article EST
/
journal article 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
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/
journal article ENG
16
journal article
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 article
Related publications
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
17
journal article
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
journal article
Related publications
1
Systematic AI support for psychiatry : a framework on how to implement decision support systems = Tehisintellekti süstemaatiline kasutamine psühhiaatrias : otsustustoe rakendamist toetav raamistik
18
book article
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
book article
19
journal article EST
/
journal article 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
journal article EST
/
journal article ENG
Related publications
1
Leveraging artificial intelligence for microkinematic analysis of fine motor skills in Parkinson’s disease detection = Tehisintellekti rakendamine peenmotoorika mikrokinemaatilises analüüsis Parkinsoni tõve tuvastamiseks
20
book article
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
book article
21
journal article EST
/
journal article 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
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
22
journal article EST
/
journal article 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
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
23
book article EST
/
book article 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
Article at Scopus
Article at WOS
book article EST
/
book article ENG
24
book article
Machine learning and deep learning techniques for residential load forecasting : a comparative analysis
Shabbir, Noman
;
Kütt, Lauri
;
Raja, Hadi Ashraf
;
Ahmadiahangar, Roya
;
Rosin, Argo
;
Husev, Oleksandr
2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON): conference proceedings
2021
/
p. 1-5
https://doi.org/10.1109/RTUCON53541.2021.9711741
book article
Related publications
1
Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteem
25
book article EST
/
book article ENG
Machine learning techniques for wireless-powered ambient backscatter communications : enabling intelligent iot networks in 6g era
Jameel, Furqan
;
Sharma, Navuday
;
Khan, Muhammad Awais
;
Khan, Imran
;
Alam, Muhammad Mahtab
;
Alam, Muhammad Mahtab
;
Mavromoustakis, Constandinos X.
Internet of Things
/
2020
https://doi.org/10.1007/978-3-030-44907-0_8
Article collection metrics at Scopus
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book article EST
/
book article ENG
Number of records 40, displaying
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266
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 methods
45.
adversarial machine learning
46.
adversarial machine-learning
47.
algorithm controlling the learning process
48.
appetitive associative learning
49.
approach to learning
50.
Attitude to learning
51.
authoritarian learning
52.
automata learning
53.
automatic machine learning (autoML)
54.
bayesian learning
55.
BIM-enabled learning
56.
BIM-enabled learning environment
57.
blended learning
58.
business school as learning organization
59.
business school learning organization questionnaire (BSLOQ)
60.
business school learning rate dependence on GPD
61.
business school learning rate measurement instrument
62.
challenge-based learning
63.
client learning
64.
Collaborative e-learning
65.
collaborative learning
66.
competence based learning
67.
competence learning
68.
competence-based learning
69.
competency based learning
70.
Component organised learning (COL)
71.
computer assisted language learning
72.
computer based learning
73.
computer-assisted language learning (CALL)
74.
cooperative reinforcement learning
75.
coping with online teaching and learning
76.
customer learning
77.
data analytics and machine learning
78.
dictionary learning
79.
digital learning module
80.
digital remote learning
81.
Dimensions of Learning Organisation Questionnaire (DLOQ)
82.
distance learning
83.
distant learning
84.
distributed independent reinforcement learning
85.
double Q-learning
86.
effective teaching and learning
87.
e-learning
88.
e‐learning
89.
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90.
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91.
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92.
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93.
Emergency remote learning
94.
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95.
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96.
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97.
entrepreneurial teaching and learning
98.
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99.
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100.
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101.
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102.
flexible learning
103.
game based learning
104.
game-based learning
105.
graph machine learning
106.
guided in-service learning
107.
hands-on-learning
108.
history learning
109.
horizontal federated learning
110.
human-centred learning
111.
hybrid learning
112.
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113.
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114.
inductive learning algorithm
115.
interactive learning objects
116.
interdisciplinary learning
117.
interpretable machine learning
118.
inverse reinforcement learning
119.
investor learning
120.
iterative learning
121.
Kolb’s experiential learning cycle
122.
language learning
123.
Learner-centered learning environment
124.
learning
125.
learning (artificial intelligence)
126.
learning activities
127.
learning adaptation in autonomous vehicles
128.
learning algorithm
129.
learning analysis
130.
learning analytics
131.
learning and experimentation
132.
learning and health outcomes
133.
learning and memory
134.
learning business school
135.
learning by teaching
136.
learning concept
137.
learning content
138.
learning design
139.
learning difficulties
140.
Learning environment
141.
learning experience
142.
Learning from Demonstration
143.
learning infrastructures
144.
Learning Lab
145.
learning management
146.
learning management system
147.
learning management systems
148.
learning methodology
149.
learning metrics
150.
learning models
151.
learning motivation
152.
learning objectives
153.
learning objects
154.
learning organization
155.
learning orientation
156.
learning outcomes
157.
learning process
158.
learning processes
159.
learning rate
160.
learning rate dependence on ownership form
161.
learning rate of organization
162.
learning region
163.
learning situation
164.
learning software agents
165.
learning styles
166.
learning systems
167.
learning technologies
168.
learning theories
169.
learning through the questionnaires
170.
learning university
171.
learning-to-rank
172.
lifelong learning
173.
long-short term learning
174.
machine learning
175.
machine learning (ML)
176.
machine learning algorithms
177.
machine learning approach
178.
Machine Learning Explainable model
179.
machine learning for environmental applications
180.
machine learning models
181.
machine learning systems
182.
machine-learning
183.
machine-learning predictive model
184.
mathematics students learning habits
185.
Meaningful learning
186.
measuring learning
187.
mobile learning
188.
model learning
189.
Multi-agent reinforcement learning
190.
multi-task learning
191.
mutual learning
192.
new learning models
193.
node embedding learning
194.
NREN e-learning
195.
on-device transfer learning
196.
online learning
197.
ontologies for learning systems
198.
ontology learning
199.
Open Learning Resources (OLR)
200.
organisational learning
201.
organizational learning
202.
organizational learning measurement instruments
203.
organizational learning rate dependence on management
204.
organizational learning rate measurement
205.
outcome oriented learning
206.
Parkinson’s disease machine learning
207.
peer‐to‐peer learning group
208.
personalised learning
209.
policy learning
210.
problem-based learning
211.
Problem-based learning (PBL)
212.
project learning
213.
project-based learning
214.
Q-learning
215.
Q-learning algorithm
216.
query learning
217.
regional learning
218.
reinforcement learning
219.
Reinforcement Learning (RL)
220.
relative learning performance
221.
Remote learning
222.
research-oriented learning
223.
reusable learning objects
224.
robust machine learning
225.
scholarship of teaching and learning
226.
self learning software
227.
self learning system
228.
self-learning
229.
self-regulated learning
230.
semi-supervised learning
231.
sequence of learning activities
232.
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233.
small data machine learning
234.
smart learning
235.
smart learning environment
236.
social learning
237.
stochastic learning theory
238.
student centred learning
239.
supervised contrastive learning
240.
supervised learning
241.
supervised learning data
242.
supervised machine learning
243.
synchronous hybrid learning
244.
zero-shot learning
245.
task based learning
246.
team learning
247.
Technological learning
248.
technology-enhanced learning
249.
the dimensions of the learning organisation
250.
the dimensions of the learning organization questionnaire (DLOQ)
251.
tools for interactive learning and teaching
252.
trans-disciplinary social-learning
253.
transfer learning
254.
true online reinforcement learning
255.
ubiquitous learning
256.
unsupervised learning
257.
unsupervised machine learning
258.
urban learning center
259.
value of learning
260.
web and computerbased learning
261.
Web and computer-based learning
262.
virtual collaborative learning environment (VCLE)
263.
virtual learning environment
264.
virtual learning factory
265.
work-based learning
266.
workplace learning
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ELIXIR Machine Learning Focus Group
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UNDP Urban Learning Center
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