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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
;
Raik, Jaan
;
Daneshtalab, Masoud
2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS)
2023
/
p. 124−127
https://ddecs2023.taltech.ee/
https://doi.org//10.1109/DDECS57882.2023.10139468
book article
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
Journal metrics at Scopus
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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
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
2024
https://doi.org/10.1109/TIV.2024.3417216
journal article
7
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
8
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
9
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
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1
Closed-loop droplet size control in microfluidics = Suletud ahelaga tilkade suuruse juhtimine mikrofluidikas
10
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
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Article at WOS
book article EST
/
book article ENG
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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
11
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
12
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
13
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
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/
journal article ENG
14
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
15
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
16
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
17
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
18
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
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journal article EST
/
journal article ENG
19
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
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Article at WOS
journal article EST
/
journal article ENG
20
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
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book article EST
/
book article ENG
21
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
22
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
Article at Scopus
book article EST
/
book article ENG
23
journal article
Multi-algorithm-based urban tree information extraction and Its applications in urban planning : research note
Yao, Chaowen
;
Fabritius, Eeva Henna Helena
;
Fricker, Pia
;
Dembski, Fabian
Landscape and urban planning
2025
/
art. 105226
https://doi.org/10.1016/j.landurbplan.2024.105226
journal article
24
journal article EST
/
journal article ENG
Multi-stage deep learning networks for automated assessment of electricity transmission infrastructure using fly-by images
Manninen, Henri
;
Ramlal, Craig J.
;
Singh, Arvind
;
Kilter, Jako
;
Landsberg, Mart
Electric power systems research
2022
/
art. 107948
https://doi.org/10.1016/j.epsr.2022.107948
Journal metrics at Scopus
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25
journal article
A new efficient ALignment-driven Neural Network for mortality prediction from irregular multivariate time series data
Bignoumba, Nzamba
;
Mellouli, Nedra
;
Ben Yahia, Sadok
Expert systems with applications
2024
/
art. 122148
https://doi.org/10.1016/j.eswa.2023.122148
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
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deep learning
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Deep-learning
10.
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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.
natural deep eutectic solvents
39.
nZEB deep energy renovation
40.
nZEB deep renovation
41.
active blended learning
42.
active learning
43.
active learning methods
44.
adversarial machine learning
45.
adversarial machine-learning
46.
algorithm controlling the learning process
47.
appetitive associative learning
48.
approach to learning
49.
Attitude to learning
50.
authoritarian learning
51.
automata learning
52.
automatic machine learning (autoML)
53.
bayesian learning
54.
BIM-enabled learning
55.
BIM-enabled learning environment
56.
blended learning
57.
business school as learning organization
58.
business school learning organization questionnaire (BSLOQ)
59.
business school learning rate dependence on GPD
60.
business school learning rate measurement instrument
61.
challenge-based learning
62.
client learning
63.
Collaborative e-learning
64.
collaborative learning
65.
competence based learning
66.
competence learning
67.
competence-based learning
68.
competency based learning
69.
Component organised learning (COL)
70.
computer assisted language learning
71.
computer based learning
72.
computer-assisted language learning (CALL)
73.
cooperative reinforcement learning
74.
coping with online teaching and learning
75.
customer learning
76.
dictionary learning
77.
digital learning module
78.
digital remote learning
79.
Dimensions of Learning Organisation Questionnaire (DLOQ)
80.
distance learning
81.
distant learning
82.
distributed independent reinforcement learning
83.
double Q-learning
84.
effective teaching and learning
85.
e-learning
86.
e‐learning
87.
e-Learning course
88.
e-Learning database
89.
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90.
electronic learning
91.
Emergency remote learning
92.
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93.
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94.
entrepreneurial learning
95.
entrepreneurial teaching and learning
96.
ESG-learning
97.
experiential learning
98.
Federated learning
99.
federated learning (FL)
100.
flexible learning
101.
game based learning
102.
game-based learning
103.
graph machine learning
104.
guided in-service learning
105.
hands-on-learning
106.
history learning
107.
horizontal federated learning
108.
hybrid learning
109.
incremental learning
110.
inductive learning
111.
inductive learning algorithm
112.
interactive learning objects
113.
interdisciplinary learning
114.
interpretable machine learning
115.
inverse reinforcement learning
116.
investor learning
117.
iterative learning
118.
Kolb’s experiential learning cycle
119.
language learning
120.
Learner-centered learning environment
121.
learning
122.
learning (artificial intelligence)
123.
learning activities
124.
learning adaptation in autonomous vehicles
125.
learning algorithm
126.
learning analysis
127.
learning analytics
128.
learning and experimentation
129.
learning and health outcomes
130.
learning and memory
131.
learning business school
132.
learning by teaching
133.
learning concept
134.
learning design
135.
learning difficulties
136.
Learning environment
137.
learning experience
138.
learning infrastructures
139.
Learning Lab
140.
learning management
141.
learning management system
142.
learning management systems
143.
learning methodology
144.
learning metrics
145.
learning models
146.
learning motivation
147.
learning objectives
148.
learning objects
149.
learning organization
150.
learning orientation
151.
learning outcomes
152.
learning process
153.
learning processes
154.
learning rate
155.
learning rate dependence on ownership form
156.
learning rate of organization
157.
learning region
158.
learning situation
159.
learning software agents
160.
learning styles
161.
learning systems
162.
learning technologies
163.
learning theories
164.
learning through the questionnaires
165.
learning university
166.
learning-to-rank
167.
lifelong learning
168.
machine learning
169.
machine learning (ML)
170.
machine learning algorithms
171.
machine learning approach
172.
Machine Learning Explainable model
173.
machine learning for environmental applications
174.
machine learning models
175.
machine learning systems
176.
machine-learning
177.
machine-learning predictive model
178.
mathematics students learning habits
179.
Meaningful learning
180.
measuring learning
181.
mobile learning
182.
model learning
183.
Multi-agent reinforcement learning
184.
multi-task learning
185.
mutual learning
186.
new learning models
187.
node embedding learning
188.
NREN e-learning
189.
on-device transfer learning
190.
online learning
191.
ontologies for learning systems
192.
ontology learning
193.
Open Learning Resources (OLR)
194.
organisational learning
195.
organizational learning
196.
organizational learning measurement instruments
197.
organizational learning rate dependence on management
198.
organizational learning rate measurement
199.
outcome oriented learning
200.
Parkinson’s disease machine learning
201.
peer‐to‐peer learning group
202.
personalised learning
203.
policy learning
204.
problem-based learning
205.
Problem-based learning (PBL)
206.
project learning
207.
project-based learning
208.
Q-learning
209.
Q-learning algorithm
210.
query learning
211.
regional learning
212.
reinforcement learning
213.
Reinforcement Learning (RL)
214.
relative learning performance
215.
Remote learning
216.
research-oriented learning
217.
reusable learning objects
218.
robust machine learning
219.
scholarship of teaching and learning
220.
self learning software
221.
self learning system
222.
self-learning
223.
self-regulated learning
224.
semi-supervised learning
225.
small data machine learning
226.
smart learning
227.
smart learning environment
228.
social learning
229.
stochastic learning theory
230.
student centred learning
231.
supervised learning
232.
supervised learning data
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supervised machine learning
234.
zero-shot learning
235.
task based learning
236.
team learning
237.
Technological learning
238.
technology-enhanced learning
239.
the dimensions of the learning organisation
240.
the dimensions of the learning organization questionnaire (DLOQ)
241.
tools for interactive learning and teaching
242.
trans-disciplinary social-learning
243.
transfer learning
244.
true online reinforcement learning
245.
ubiquitous learning
246.
unsupervised learning
247.
unsupervised machine learning
248.
urban learning center
249.
value of learning
250.
web and computerbased learning
251.
Web and computer-based learning
252.
virtual collaborative learning environment (VCLE)
253.
virtual learning environment
254.
virtual learning factory
255.
work-based learning
256.
workplace learning
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ELIXIR Machine Learning Focus Group
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UNDP Urban Learning Center
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