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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
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
3
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
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artikkel ajakirjas ENG
4
artikkel kogumikus EST
/
artikkel kogumikus ENG
Automated training set size reduction for detection of small and thin objects
Pihlak, René
;
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
5
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
2024
https://doi.org/10.1109/TIV.2024.3417216
artikkel ajakirjas
6
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
7
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
8
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
9
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
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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
10
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
11
artikkel ajakirjas
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
artikkel ajakirjas
12
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 ENG
13
artikkel ajakirjas
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
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
14
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
15
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
16
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
17
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
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artikkel ajakirjas EST
/
artikkel ajakirjas ENG
18
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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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
19
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
Article at Scopus
Article at WOS
artikkel kogumikus EST
/
artikkel kogumikus ENG
20
artikkel kogumikus
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
artikkel kogumikus
Seotud publikatsioonid
1
Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteem
21
artikkel kogumikus EST
/
artikkel kogumikus 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
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artikkel kogumikus EST
/
artikkel kogumikus ENG
22
artikkel ajakirjas EST
/
artikkel ajakirjas 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
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artikkel ajakirjas EST
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artikkel ajakirjas ENG
23
artikkel ajakirjas
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
http://doi.org/10.1016/j.eswa.2023.122148
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
24
artikkel kogumikus
Non-determinism in nowadays computing and IT
Henno, Jaak
;
Jaakkola, Hannu
;
Mäkelä, Jukka
2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), 28 Sept.-2 Oct. 2020, Opatija, Croatia : proceedings
2020
/
p. 794-801
https://doi.org/10.23919/MIPRO48935.2020.9245377
artikkel kogumikus
25
artikkel kogumikus EST
/
artikkel kogumikus ENG
Ontology modeling of the Estonian Traffic Act for self-driving buses
Nogales, Alberto
;
Täks, Ermo
;
Taveter, Kuldar
Information Management and Big Data : 5th International Conference : SIMBig 2018, Lima, Peru, September 3–5, 2018 : proceedings
2019
/
p. 249-256
https://doi.org/10.1007/978-3-030-11680-4_24
Conference proceedings at Scopus
Article at Scopus
artikkel kogumikus EST
/
artikkel kogumikus ENG
Kirjeid leitud 34, kuvan
1 - 25
eelmine
1
2
järgmine
võtmesõna
243
1.
deep learning
2.
deep learning (DL)
3.
deep learning classifier
4.
deep learning model
5.
deep learning model quantization
6.
deep learning network
7.
Deep-learning
8.
deep-learning (DL)
9.
embedded deep learning
10.
deep reinforcement learning
11.
Deep reinforcing learning SDN
12.
deep donor-deep acceptor pairs
13.
deep brain stimulation
14.
deep convolutional neural network
15.
Deep defects
16.
deep energy levels
17.
deep energy renovation
18.
deep eutectic solvents
19.
deep fake
20.
deep fake recognition
21.
deep habits
22.
deep heat well
23.
deep inference
24.
deep layer
25.
deep level
26.
deep level traps
27.
deep levels
28.
deep neural network
29.
deep neural network compression
30.
deep neural networks
31.
deep neural networks (DNNs)
32.
deep offshore
33.
deep packet inspection
34.
deep renovation
35.
deep understanding
36.
natural deep eutectic solvents
37.
nZEB deep energy renovation
38.
nZEB deep renovation
39.
active blended learning
40.
active learning
41.
active learning methods
42.
adversarial machine learning
43.
adversarial machine-learning
44.
algorithm controlling the learning process
45.
appetitive associative learning
46.
approach to learning
47.
Attitude to learning
48.
authoritarian learning
49.
automata learning
50.
automatic machine learning (autoML)
51.
BIM-enabled learning
52.
BIM-enabled learning environment
53.
blended learning
54.
business school as learning organization
55.
business school learning organization questionnaire (BSLOQ)
56.
business school learning rate dependence on GPD
57.
business school learning rate measurement instrument
58.
client learning
59.
Collaborative e-learning
60.
collaborative learning
61.
competence based learning
62.
competence learning
63.
competence-based learning
64.
competency based learning
65.
Component organised learning (COL)
66.
computer assisted language learning
67.
computer based learning
68.
computer-assisted language learning (CALL)
69.
cooperative reinforcement learning
70.
coping with online teaching and learning
71.
customer learning
72.
dictionary learning
73.
digital learning module
74.
Dimensions of Learning Organisation Questionnaire (DLOQ)
75.
distance learning
76.
distant learning
77.
distributed independent reinforcement learning
78.
double Q-learning
79.
effective teaching and learning
80.
e-learning
81.
e‐learning
82.
e-Learning course
83.
e-Learning database
84.
e-learning environment
85.
electronic learning
86.
Emergency remote learning
87.
ensemble learning
88.
enterprising and entrepreneurial learning
89.
entrepreneurial learning
90.
entrepreneurial teaching and learning
91.
experiential learning
92.
False data injection attack; Machine learning; Matlab; Python; State estimation; Sudden load change
93.
Federated learning
94.
federated learning (FL)
95.
flexible learning
96.
game based learning
97.
game-based learning
98.
graph machine learning
99.
guided in-service learning
100.
hands-on-learning
101.
history learning
102.
hybrid learning
103.
incremental learning
104.
inductive learning
105.
inductive learning algorithm
106.
interactive learning objects
107.
interdisciplinary learning
108.
interpretable machine learning
109.
inverse reinforcement learning
110.
investor learning
111.
iterative learning
112.
Learner-centered learning environment
113.
learning
114.
learning (artificial intelligence)
115.
learning activities
116.
learning adaptation in autonomous vehicles
117.
learning algorithm
118.
learning analysis
119.
learning analytics
120.
learning and experimentation
121.
learning and health outcomes
122.
learning and memory
123.
learning business school
124.
learning by teaching
125.
learning concept
126.
learning design
127.
learning difficulties
128.
Learning environment
129.
learning experience
130.
learning infrastructures
131.
Learning Lab
132.
learning management
133.
learning management system
134.
learning management systems
135.
learning methodology
136.
learning metrics
137.
learning models
138.
learning motivation
139.
learning objectives
140.
learning objects
141.
learning organization
142.
learning orientation
143.
learning outcomes
144.
learning process
145.
learning processes
146.
learning rate
147.
learning rate dependence on ownership form
148.
learning rate of organization
149.
learning region
150.
learning situation
151.
learning software agents
152.
learning styles
153.
learning systems
154.
learning technologies
155.
learning theories
156.
learning through the questionnaires
157.
learning university
158.
learning-to-rank
159.
lifelong learning
160.
machine learning
161.
machine learning (ML)
162.
machine learning algorithms
163.
machine learning approach
164.
Machine Learning Explainable model
165.
machine learning for environmental applications
166.
machine learning models
167.
machine learning systems
168.
machine-learning
169.
machine-learning predictive model
170.
mathematics students learning habits
171.
Meaningful learning
172.
measuring learning
173.
mobile learning
174.
model learning
175.
Multi-agent reinforcement learning
176.
mutual learning
177.
new learning models
178.
node embedding learning
179.
NREN e-learning
180.
on-device transfer learning
181.
online learning
182.
ontologies for learning systems
183.
ontology learning
184.
organisational learning
185.
organizational learning
186.
organizational learning measurement instruments
187.
organizational learning rate dependence on management
188.
organizational learning rate measurement
189.
outcome oriented learning
190.
Parkinson’s disease machine learning
191.
peer‐to‐peer learning group
192.
personalised learning
193.
policy learning
194.
problem-based learning
195.
Problem-based learning (PBL)
196.
project learning
197.
project-based learning
198.
Q-learning
199.
Q-learning algorithm
200.
query learning
201.
regional learning
202.
reinforcement learning
203.
Reinforcement Learning (RL)
204.
relative learning performance
205.
Remote learning
206.
research-oriented learning
207.
reusable learning objects
208.
robust machine learning
209.
scholarship of teaching and learning
210.
self learning software
211.
self learning system
212.
self-learning
213.
self-regulated learning
214.
semi-supervised learning
215.
small data machine learning
216.
smart learning
217.
smart learning environment
218.
social learning
219.
stochastic learning theory
220.
supervised learning
221.
supervised learning data
222.
supervised machine learning
223.
task based learning
224.
team learning
225.
Technological learning
226.
technology-enhanced learning
227.
the dimensions of the learning organisation
228.
the dimensions of the learning organization questionnaire (DLOQ)
229.
tools for interactive learning and teaching
230.
trans-disciplinary social-learning
231.
transfer learning
232.
true online reinforcement learning
233.
ubiquitous learning
234.
unsupervised learning
235.
unsupervised machine learning
236.
urban learning center
237.
value of learning
238.
web and computerbased learning
239.
Web and computer-based learning
240.
virtual learning environment
241.
virtual learning factory
242.
work-based learning
243.
workplace learning
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