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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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Article at WOS
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 (DL)
10.
embedded deep learning
11.
deep reinforcement learning
12.
Deep reinforcing learning SDN
13.
deep donor-deep acceptor pairs
14.
deep brain stimulation
15.
deep convolutional neural network
16.
Deep defects
17.
deep energy levels
18.
deep energy renovation
19.
deep eutectic solvents
20.
deep fake
21.
deep fake recognition
22.
deep habits
23.
deep heat well
24.
deep inference
25.
deep layer
26.
deep level
27.
deep level traps
28.
deep levels
29.
deep neural network
30.
deep neural network compression
31.
deep neural networks
32.
deep neural networks (DNNs)
33.
deep offshore
34.
deep packet inspection
35.
deep renovation
36.
deep understanding
37.
natural deep eutectic solvents
38.
nZEB deep energy renovation
39.
nZEB deep renovation
40.
active blended learning
41.
active learning
42.
active learning methods
43.
adversarial machine learning
44.
adversarial machine-learning
45.
algorithm controlling the learning process
46.
appetitive associative learning
47.
approach to learning
48.
Attitude to learning
49.
authoritarian learning
50.
automata learning
51.
automatic machine learning (autoML)
52.
bayesian learning
53.
BIM-enabled learning
54.
BIM-enabled learning environment
55.
blended learning
56.
business school as learning organization
57.
business school learning organization questionnaire (BSLOQ)
58.
business school learning rate dependence on GPD
59.
business school learning rate measurement instrument
60.
challenge-based learning
61.
client learning
62.
Collaborative e-learning
63.
collaborative learning
64.
competence based learning
65.
competence learning
66.
competence-based learning
67.
competency based learning
68.
Component organised learning (COL)
69.
computer assisted language learning
70.
computer based learning
71.
computer-assisted language learning (CALL)
72.
cooperative reinforcement learning
73.
coping with online teaching and learning
74.
customer learning
75.
dictionary learning
76.
digital learning module
77.
digital remote learning
78.
Dimensions of Learning Organisation Questionnaire (DLOQ)
79.
distance learning
80.
distant learning
81.
distributed independent reinforcement learning
82.
double Q-learning
83.
effective teaching and learning
84.
e-learning
85.
e‐learning
86.
e-Learning course
87.
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88.
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89.
electronic learning
90.
Emergency remote learning
91.
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92.
enterprising and entrepreneurial learning
93.
entrepreneurial learning
94.
entrepreneurial teaching and learning
95.
ESG-learning
96.
experiential learning
97.
Federated learning
98.
federated learning (FL)
99.
flexible learning
100.
game based learning
101.
game-based learning
102.
graph machine learning
103.
guided in-service learning
104.
hands-on-learning
105.
history learning
106.
horizontal federated learning
107.
hybrid learning
108.
incremental learning
109.
inductive learning
110.
inductive learning algorithm
111.
interactive learning objects
112.
interdisciplinary learning
113.
interpretable machine learning
114.
inverse reinforcement learning
115.
investor learning
116.
iterative learning
117.
Kolb’s experiential learning cycle
118.
language learning
119.
Learner-centered learning environment
120.
learning
121.
learning (artificial intelligence)
122.
learning activities
123.
learning adaptation in autonomous vehicles
124.
learning algorithm
125.
learning analysis
126.
learning analytics
127.
learning and experimentation
128.
learning and health outcomes
129.
learning and memory
130.
learning business school
131.
learning by teaching
132.
learning concept
133.
learning design
134.
learning difficulties
135.
Learning environment
136.
learning experience
137.
learning infrastructures
138.
Learning Lab
139.
learning management
140.
learning management system
141.
learning management systems
142.
learning methodology
143.
learning metrics
144.
learning models
145.
learning motivation
146.
learning objectives
147.
learning objects
148.
learning organization
149.
learning orientation
150.
learning outcomes
151.
learning process
152.
learning processes
153.
learning rate
154.
learning rate dependence on ownership form
155.
learning rate of organization
156.
learning region
157.
learning situation
158.
learning software agents
159.
learning styles
160.
learning systems
161.
learning technologies
162.
learning theories
163.
learning through the questionnaires
164.
learning university
165.
learning-to-rank
166.
lifelong learning
167.
machine learning
168.
machine learning (ML)
169.
machine learning algorithms
170.
machine learning approach
171.
Machine Learning Explainable model
172.
machine learning for environmental applications
173.
machine learning models
174.
machine learning systems
175.
machine-learning
176.
machine-learning predictive model
177.
mathematics students learning habits
178.
Meaningful learning
179.
measuring learning
180.
mobile learning
181.
model learning
182.
Multi-agent reinforcement learning
183.
multi-task learning
184.
mutual learning
185.
new learning models
186.
node embedding learning
187.
NREN e-learning
188.
on-device transfer learning
189.
online learning
190.
ontologies for learning systems
191.
ontology learning
192.
Open Learning Resources (OLR)
193.
organisational learning
194.
organizational learning
195.
organizational learning measurement instruments
196.
organizational learning rate dependence on management
197.
organizational learning rate measurement
198.
outcome oriented learning
199.
Parkinson’s disease machine learning
200.
peer‐to‐peer learning group
201.
personalised learning
202.
policy learning
203.
problem-based learning
204.
Problem-based learning (PBL)
205.
project learning
206.
project-based learning
207.
Q-learning
208.
Q-learning algorithm
209.
query learning
210.
regional learning
211.
reinforcement learning
212.
Reinforcement Learning (RL)
213.
relative learning performance
214.
Remote learning
215.
research-oriented learning
216.
reusable learning objects
217.
robust machine learning
218.
scholarship of teaching and learning
219.
self learning software
220.
self learning system
221.
self-learning
222.
self-regulated learning
223.
semi-supervised learning
224.
small data machine learning
225.
smart learning
226.
smart learning environment
227.
social learning
228.
stochastic learning theory
229.
student centred learning
230.
supervised learning
231.
supervised learning data
232.
supervised machine learning
233.
zero-shot learning
234.
task based learning
235.
team learning
236.
Technological learning
237.
technology-enhanced learning
238.
the dimensions of the learning organisation
239.
the dimensions of the learning organization questionnaire (DLOQ)
240.
tools for interactive learning and teaching
241.
trans-disciplinary social-learning
242.
transfer learning
243.
true online reinforcement learning
244.
ubiquitous learning
245.
unsupervised learning
246.
unsupervised machine learning
247.
urban learning center
248.
value of learning
249.
web and computerbased learning
250.
Web and computer-based learning
251.
virtual collaborative learning environment (VCLE)
252.
virtual learning environment
253.
virtual learning factory
254.
work-based learning
255.
workplace learning
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