Toggle navigation
Publikatsioonid
Profiilid
Uurimisrühmad
Registrid
Abi ja info
Switch to English
Intranet
Publikatsioonid
Profiilid
Uurimisrühmad
Registrid
Abi ja info
English
Intranet
Andmebaasid
Publikatsioonid
Otsing
Valitud kirjed
0
deep learning (võtmesõna)
Kõikidelt väljadelt
Allika otsing
Autori otsing
Märksõna otsing
Pealkirja otsing
algab
sisaldab
täpne vaste
Kõikidelt väljadelt
Allika otsing
Autori otsing
Märksõna otsing
Pealkirja otsing
algab
sisaldab
täpne vaste
—
Kõikidelt väljadelt
Allika otsing
Autori otsing
Märksõna otsing
Pealkirja otsing
algab
sisaldab
täpne vaste
—
Kõikidelt väljadelt
Allika otsing
Autori otsing
Märksõna otsing
Pealkirja otsing
algab
sisaldab
täpne vaste
—
Kõikidelt väljadelt
Allika otsing
Autori otsing
Märksõna otsing
Pealkirja otsing
algab
sisaldab
täpne vaste
—
Lisa tingimus
Liitotsing
filter
Tühista
×
teaviku laadid
raamat
..
artikkel ajakirjas
..
artikkel ajalehes
..
artikkel kogumikus
..
dissertatsioon
..
Open Access
..
Teaduspublikatsioon
..
aasta
ilmumisaasta
Toon andmeid..
autor
Toon andmeid..
TTÜ struktuuriüksus
Toon andmeid..
märksõna
Toon andmeid..
seeria-sari
Toon andmeid..
tema kohta
Toon andmeid..
võtmesõna
Toon andmeid..
Tühista
Kirjeid leitud
19
Vaata veel..
(3/221)
Ekspordi
ekspordi kõik päringu tulemused
(19)
Salvesta TXT fail
Salvesta PDF fail
prindi
Märgitud kirjetega toimetamiseks ava
valitud kirjed
kuva
Bibliokirje
Lühikirje
reasta
autor kasvavalt
autor kahanevalt
ilmumisaasta kasvavalt
ilmumisaasta kahanevalt
pealkiri kasvavalt
pealkiri kahanevalt
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
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
artikkel ajakirjas
3
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
Conference Proceedings at WOS
Article at WOS
artikkel kogumikus EST
/
artikkel kogumikus ENG
4
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
5
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
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
6
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
http://doi.org/10.14339/STO-TR-IST-141
raamat
7
artikkel kogumikus
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
15th IFAC Symposium on Analysis, Design and Evaluation of Human Machine Systems HMS 2022, San José, USA, 12—15 September, 2022
2022
/
p. 108-113 : ill
https://doi.org/10.1016/j.ifacol.2022.10.240
artikkel kogumikus
8
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
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
9
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
10
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
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
11
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
12
artikkel kogumikus
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
artikkel kogumikus
13
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
14
artikkel ajakirjas
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
artikkel ajakirjas
15
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
16
artikkel ajakirjas
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
artikkel ajakirjas
17
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
18
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
19
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
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Kirjeid leitud 19, kuvan
1 - 19
võtmesõna
219
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 habits
19.
deep inference
20.
deep layer
21.
deep level
22.
deep level traps
23.
deep levels
24.
deep neural network
25.
deep neural network compression
26.
deep neural networks
27.
deep neural networks (DNNs)
28.
deep offshore
29.
deep packet inspection
30.
deep renovation
31.
deep understanding
32.
natural deep eutectic solvents
33.
nZEB deep energy renovation
34.
nZEB deep renovation
35.
active learning
36.
active learning methods
37.
adversarial machine learning
38.
adversarial machine-learning
39.
algorithm controlling the learning process
40.
appetitive associative learning
41.
approach to learning
42.
Attitude to learning
43.
authoritarian learning
44.
automata learning
45.
automatic machine learning (autoML)
46.
BIM-enabled learning
47.
BIM-enabled learning environment
48.
blended learning
49.
business school as learning organization
50.
business school learning organization questionnaire (BSLOQ)
51.
business school learning rate dependence on GPD
52.
business school learning rate measurement instrument
53.
client learning
54.
Collaborative e-learning
55.
collaborative learning
56.
competence based learning
57.
competence learning
58.
competence-based learning
59.
competency based learning
60.
Component organised learning (COL)
61.
computer assisted language learning
62.
computer based learning
63.
computer-assisted language learning (CALL)
64.
cooperative reinforcement learning
65.
coping with online teaching and learning
66.
customer learning
67.
dictionary learning
68.
digital learning module
69.
Dimensions of Learning Organisation Questionnaire (DLOQ)
70.
distance learning
71.
distant learning
72.
distributed independent reinforcement learning
73.
double Q-learning
74.
effective teaching and learning
75.
e-learning
76.
e‐learning
77.
e-Learning course
78.
e-Learning database
79.
electronic learning
80.
Emergency remote learning
81.
enterprising and entrepreneurial learning
82.
entrepreneurial learning
83.
entrepreneurial teaching and learning
84.
experiential learning
85.
Federated learning
86.
federated learning (FL)
87.
flexible learning
88.
game based learning
89.
game-based learning
90.
guided in-service learning
91.
hands-on-learning
92.
hybrid learning
93.
incremental learning
94.
inductive learning
95.
inductive learning algorithm
96.
interactive learning objects
97.
interdisciplinary learning
98.
inverse reinforcement learning
99.
investor learning
100.
iterative learning
101.
Learner-centered learning environment
102.
learning
103.
learning (artificial intelligence)
104.
learning activities
105.
learning adaptation in autonomous vehicles
106.
learning algorithm
107.
learning analytics
108.
learning and health outcomes
109.
learning and memory
110.
learning business school
111.
learning by teaching
112.
learning concept
113.
learning difficulties
114.
Learning environment
115.
learning experience
116.
learning infrastructures
117.
Learning Lab
118.
learning management
119.
learning management system
120.
learning management systems
121.
learning methodology
122.
learning metrics
123.
learning models
124.
learning motivation
125.
learning objectives
126.
learning objects
127.
learning organization
128.
learning orientation
129.
learning outcomes
130.
learning process
131.
learning processes
132.
learning rate
133.
learning rate dependence on ownership form
134.
learning rate of organization
135.
learning region
136.
learning situation
137.
learning software agents
138.
learning styles
139.
learning systems
140.
learning technologies
141.
learning through the questionnaires
142.
learning university
143.
learning-to-rank
144.
lifelong learning
145.
machine learning
146.
machine learning (ML)
147.
machine learning algorithms
148.
machine learning approach
149.
machine learning for environmental applications
150.
machine-learning predictive model
151.
mathematics students learning habits
152.
Meaningful learning
153.
measuring learning
154.
mobile learning
155.
model learning
156.
Multi-agent reinforcement learning
157.
mutual learning
158.
new learning models
159.
node embedding learning
160.
NREN e-learning
161.
on-device transfer learning
162.
online learning
163.
ontologies for learning systems
164.
ontology learning
165.
organisational learning
166.
organizational learning
167.
organizational learning measurement instruments
168.
organizational learning rate dependence on management
169.
organizational learning rate measurement
170.
outcome oriented learning
171.
Parkinson’s disease machine learning
172.
peer‐to‐peer learning group
173.
personalised learning
174.
policy learning
175.
problem-based learning
176.
Problem-based learning (PBL)
177.
project learning
178.
project-based learning
179.
Q-learning
180.
Q-learning algorithm
181.
query learning
182.
regional learning
183.
reinforcement learning
184.
relative learning performance
185.
Remote learning
186.
research-oriented learning
187.
reusable learning objects
188.
robust machine learning
189.
scholarship of teaching and learning
190.
self learning software
191.
self learning system
192.
self-learning
193.
self-regulated learning
194.
semi-supervised learning
195.
small data machine learning
196.
social learning
197.
stochastic learning theory
198.
supervised learning
199.
supervised learning data
200.
supervised machine learning
201.
task based learning
202.
team learning
203.
Technological learning
204.
the dimensions of the learning organisation
205.
the dimensions of the learning organization questionnaire (DLOQ)
206.
tools for interactive learning and teaching
207.
trans-disciplinary social-learning
208.
transfer learning
209.
true online reinforcement learning
210.
ubiquitous learning
211.
unsupervised learning
212.
unsupervised machine learning
213.
value of learning
214.
web and computerbased learning
215.
Web and computer-based learning
216.
virtual learning environment
217.
virtual learning factory
218.
work-based learning
219.
workplace learning
autor
1
1.
ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
×
vaste
algab
lõpeb
sisaldab
reasta
Relevantsuse alusel
kasvavalt
kahanevalt
ilmumisaasta
autor
TTÜ struktuuriüksus
märksõna
seeria-sari
tema kohta
võtmesõna
Otsing
Valikud
0
ilmumisaasta
AND
OR
NOT
autor
AND
OR
NOT
TTÜ struktuuriüksus
AND
OR
NOT
märksõna
AND
OR
NOT
seeria-sari
AND
OR
NOT
tema kohta
AND
OR
NOT
võtmesõna
AND
OR
NOT