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1
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
2
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
Journal metrics at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
3
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
4
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
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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
5
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
6
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
7
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
8
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
9
raamat
Exploratory visual analytics : technical report of the NATO IST-141 Research Task Group
Varga, Margaret
;
Arkin, Ethem
;
Bivall, Petter
;
Camossi, Elena
;
Kullman, Kaur
;
Krilavičius, Tomas
;
Mandravickaitė, Justina
;
Lavigne, Valerie
;
Jayaram, Shivas
;
Panga, Marius
;
Liggett, Kristen
;
Martsinkevičius, Virginijus
;
Ray, Cyril
;
Winkelholz, Carsten
;
Acharya, Nikhil
2023
https://www.researchgate.net/publication/361220433_Exploratory_Visual_Analytics
raamat
Seotud publikatsioonid
1
Interactive stereoscopically perceivable multidimensional data visualizations for cybersecurity = Interaktiivsed, ruumiliselt tajutavad, mitmemõõtelised andmekuvad küberturbele
10
artikkel ajakirjas
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
artikkel ajakirjas
11
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
12
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
13
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
Article collection metrics at Scopus
Article at Scopus
artikkel kogumikus EST
/
artikkel kogumikus ENG
14
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
Journal metrics at Scopus
Article at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
15
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
16
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
17
artikkel ajakirjas
Orthophoto classification for UGV pth planning using heterogeneous computing
Hudjakov, Robert
;
Tamre, Mart
International journal of advanced robotic systems
2013
/
[7] p. : ill
artikkel ajakirjas
18
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Pavement defect segmentation in orthoframes with a pipeline of three convolutional neural networks
Lõuk, Roland
;
Riid, Andri
;
Pihlak, Rene
;
Tepljakov, Aleksei
Algorithms
2020
/
art. 198, 27 p. : ill
https://doi.org/10.3390/a13080198
Journal metrics at scopus
Article at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
19
artikkel kogumikus
Residential load forecasting using recurrent neural networks
Shabbir, Noman
;
Ahmadiahangar, Roya
;
Raja, Hadi Ashraf
;
Kütt, Lauri
;
Rosin, Argo
2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) : proceedings
2020
/
p. 478-481 : ill
https://doi.org/10.1109/CPE-POWERENG48600.2020.9161565
artikkel kogumikus
20
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
A robust pathological voices recognition system based on DCNN and scattering transform
Souli, Sameh
;
Amam, Rimah
;
Ben Yahia, Sadok
Applied acoustics
2021
/
art. 107854 : ill
https://doi.org/10.1016/j.apacoust.2020.107854
Journal metrics at Scopus
Article at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
21
artikkel kogumikus EST
/
artikkel kogumikus ENG
Semi-parametric approach to random forests for high-dimensional bayesian optimisation
Kuzmanovski, Vladimir
;
Hollmén, Jaakko
Discovery Science : 25th International Conference, DS 2022, Montpellier, France, October 10–12, 2022, Proceedings
2022
/
p. 418 - 428
https://doi.org/10.1007/978-3-031-18840-4_30
Conference Proceedings at Scopus
Article at Scopus
Conference Proceedings at WOS
Article at WOS
artikkel kogumikus EST
/
artikkel kogumikus ENG
22
artikkel ajakirjas
Short-term PV energy generation forecasting using deep learning
Shabbir, Noman
;
Ahmadiahangar, Roya
;
Rosin, Argo
;
Astapov, Victor
;
Kilter, Jako
Telematique
2022
https://www.provinciajournal.com/index.php/telematique/article/view/813
artikkel ajakirjas
23
artikkel kogumikus
The validation of graph model-based, gate level low-dimensional feature data for machine learning applications
Balakrishnan, Aneesh
;
Lange, Thomas
;
Glorieux, Maximilien
;
Alexandrescu, Dan
;
Jenihhin, Maksim
2019 IEEE Nordic Circuits and Systems Conference (NORCAS) : NORCHIP and International Symposium of System-on-Chip (SoC), 29-30 October 2019, Helsinki, Finland : proceedings in IEEE Xplore
2019
/
7 p
https://doi.org/10.1109/NORCHIP.2019.8906974
artikkel kogumikus
Seotud publikatsioonid
1
A synthetic, hierarchical approach for modelling and managing complex systems' quality and reliability = Sünteetiline, hierarhiline lähenemine keerukate süsteemide kvaliteedi ja töökindluse modelleerimiseks ja haldamiseks
24
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Toward automatic condition assessment of high-voltage transmission infrastructure using deep learning techniques
Manninen, Henri
;
Ramlal, Craig J.
;
Singh, Arvind
;
Rocke, Sean
;
Kilter, Jako
;
Landsberg, Mart
International journal of electrical power & energy systems
2021
/
art. 106726
https://doi.org/10.1016/j.ijepes.2020.106726
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Seotud publikatsioonid
1
Data-driven asset management and condition assessment methodology for transmission overhead lines = Ülekandevõrgu õhuliinide andmepõhine varahalduse ja seisundi hindamise metoodika
Kirjeid leitud 24, kuvan
1 - 24
võtmesõna
229
1.
deep learning
2.
deep learning (DL)
3.
deep learning classifier
4.
deep learning model
5.
deep learning network
6.
Deep-learning
7.
deep-learning (DL)
8.
embedded deep learning
9.
deep reinforcement learning
10.
Deep reinforcing learning SDN
11.
deep donor-deep acceptor pairs
12.
deep brain stimulation
13.
deep convolutional neural network
14.
Deep defects
15.
deep energy levels
16.
deep energy renovation
17.
deep eutectic solvents
18.
deep fake
19.
deep habits
20.
deep inference
21.
deep layer
22.
deep level
23.
deep level traps
24.
deep levels
25.
deep neural network
26.
deep neural network compression
27.
deep neural networks
28.
deep neural networks (DNNs)
29.
deep offshore
30.
deep packet inspection
31.
deep renovation
32.
deep understanding
33.
natural deep eutectic solvents
34.
nZEB deep energy renovation
35.
nZEB deep renovation
36.
active learning
37.
active learning methods
38.
adversarial machine learning
39.
adversarial machine-learning
40.
algorithm controlling the learning process
41.
appetitive associative learning
42.
approach to learning
43.
Attitude to learning
44.
authoritarian learning
45.
automata learning
46.
automatic machine learning (autoML)
47.
BIM-enabled learning
48.
BIM-enabled learning environment
49.
blended learning
50.
business school as learning organization
51.
business school learning organization questionnaire (BSLOQ)
52.
business school learning rate dependence on GPD
53.
business school learning rate measurement instrument
54.
client learning
55.
Collaborative e-learning
56.
collaborative learning
57.
competence based learning
58.
competence learning
59.
competence-based learning
60.
competency based learning
61.
Component organised learning (COL)
62.
computer assisted language learning
63.
computer based learning
64.
computer-assisted language learning (CALL)
65.
cooperative reinforcement learning
66.
coping with online teaching and learning
67.
customer learning
68.
dictionary learning
69.
digital learning module
70.
Dimensions of Learning Organisation Questionnaire (DLOQ)
71.
distance learning
72.
distant learning
73.
distributed independent reinforcement learning
74.
double Q-learning
75.
effective teaching and learning
76.
e-learning
77.
e‐learning
78.
e-Learning course
79.
e-Learning database
80.
e-learning environment
81.
electronic learning
82.
Emergency remote learning
83.
ensemble learning
84.
enterprising and entrepreneurial learning
85.
entrepreneurial learning
86.
entrepreneurial teaching and learning
87.
experiential learning
88.
Federated learning
89.
federated learning (FL)
90.
flexible learning
91.
game based learning
92.
game-based learning
93.
guided in-service learning
94.
hands-on-learning
95.
hybrid learning
96.
incremental learning
97.
inductive learning
98.
inductive learning algorithm
99.
interactive learning objects
100.
interdisciplinary learning
101.
inverse reinforcement learning
102.
investor learning
103.
iterative learning
104.
Learner-centered learning environment
105.
learning
106.
learning (artificial intelligence)
107.
learning activities
108.
learning adaptation in autonomous vehicles
109.
learning algorithm
110.
learning analysis
111.
learning analytics
112.
learning and experimentation
113.
learning and health outcomes
114.
learning and memory
115.
learning business school
116.
learning by teaching
117.
learning concept
118.
learning difficulties
119.
Learning environment
120.
learning experience
121.
learning infrastructures
122.
Learning Lab
123.
learning management
124.
learning management system
125.
learning management systems
126.
learning methodology
127.
learning metrics
128.
learning models
129.
learning motivation
130.
learning objectives
131.
learning objects
132.
learning organization
133.
learning orientation
134.
learning outcomes
135.
learning process
136.
learning processes
137.
learning rate
138.
learning rate dependence on ownership form
139.
learning rate of organization
140.
learning region
141.
learning situation
142.
learning software agents
143.
learning styles
144.
learning systems
145.
learning technologies
146.
learning theories
147.
learning through the questionnaires
148.
learning university
149.
learning-to-rank
150.
lifelong learning
151.
machine learning
152.
machine learning (ML)
153.
machine learning algorithms
154.
machine learning approach
155.
Machine Learning Explainable model
156.
machine learning for environmental applications
157.
machine-learning predictive model
158.
mathematics students learning habits
159.
Meaningful learning
160.
measuring learning
161.
mobile learning
162.
model learning
163.
Multi-agent reinforcement learning
164.
mutual learning
165.
new learning models
166.
node embedding learning
167.
NREN e-learning
168.
on-device transfer learning
169.
online learning
170.
ontologies for learning systems
171.
ontology learning
172.
organisational learning
173.
organizational learning
174.
organizational learning measurement instruments
175.
organizational learning rate dependence on management
176.
organizational learning rate measurement
177.
outcome oriented learning
178.
Parkinson’s disease machine learning
179.
peer‐to‐peer learning group
180.
personalised learning
181.
policy learning
182.
problem-based learning
183.
Problem-based learning (PBL)
184.
project learning
185.
project-based learning
186.
Q-learning
187.
Q-learning algorithm
188.
query learning
189.
regional learning
190.
reinforcement learning
191.
relative learning performance
192.
Remote learning
193.
research-oriented learning
194.
reusable learning objects
195.
robust machine learning
196.
scholarship of teaching and learning
197.
self learning software
198.
self learning system
199.
self-learning
200.
self-regulated learning
201.
semi-supervised learning
202.
small data machine learning
203.
smart learning
204.
smart learning environment
205.
social learning
206.
stochastic learning theory
207.
supervised learning
208.
supervised learning data
209.
supervised machine learning
210.
task based learning
211.
team learning
212.
Technological learning
213.
the dimensions of the learning organisation
214.
the dimensions of the learning organization questionnaire (DLOQ)
215.
tools for interactive learning and teaching
216.
trans-disciplinary social-learning
217.
transfer learning
218.
true online reinforcement learning
219.
ubiquitous learning
220.
unsupervised learning
221.
unsupervised machine learning
222.
urban learning center
223.
value of learning
224.
web and computerbased learning
225.
Web and computer-based learning
226.
virtual learning environment
227.
virtual learning factory
228.
work-based learning
229.
workplace learning
autor
1
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ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
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