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machine learning (võtmesõna)
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1
artikkel kogumikus
Accuracy analysis of selected time series and machine learning methods for smart cities based on Estonian electricity consumption forecast
Häring, Tobias
;
Ahmadiahangar, Roya
;
Rosin, Argo
;
Korõtko, Tarmo
;
Biechl, Helmuth
2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) : proceedings
2020
/
p. 425-428 : ill
https://doi.org/10.1109/CPE-POWERENG48600.2020.9161690
artikkel kogumikus
2
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Applicability of spiral drawing test for mental fatigue modelling
Senkiv, Olesja
;
Nõmm, Sven
;
Toomela, Aaro
IFAC-PapersOnLine
2019
/
p. 190-195 : ill
https://doi.org/10.1016/j.ifacol.2019.01.064
Conference proceedings at Scopus
Article at Scopus
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
3
artikkel ajakirjas
Application of artificial intelligence and machine learning for BIM : review
Bassir, David
;
Lodge, Hugo
;
Chang, Haochen
;
Majak, Jüri
;
Chen, Gonfa
International journal for simulation and multidisciplinary design optimization
2023
/
art. 5
https://doi.org/10.1051/smdo/2023005
artikkel ajakirjas
4
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Application of machine learning for assessment of HS code correctness
Spitšakova, Margarita
;
Haav, Hele-Mai
Baltic journal of modern computing
2020
/
p. 698-718
https://doi.org/10.22364/bjmc.2020.8.4.13
Journal Metrics at Scopus
Article at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
5
artikkel kogumikus
Applying machine learning with satellite altimetry data for prediction of absolute dynamic topography for the Baltic Sea
Mostafavi, Majid
;
Delpeche-Ellmann, Nicole Camille
;
Ellmann, Artu
Nordic Geodetic Commission General Assembly 2022 in Copenhagen : Poster Session
2022
/
26 l.
https://medialib.cmcdn.dk/medialibrary/010C1367-E991-4A33-AB10-1953247E9C23/530AEABD-3A25-ED11-84B6-00155D0B0940.pdf
artikkel kogumikus
6
artikkel kogumikus
Artificial intelligence and education
Jaakkola, Hannu
;
Henno, Jaak
;
Lahti, J-P.
;
Järvinen, Raimo
;
Mäkelainen, Jukka
2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), 28 Sept.-2 Oct. 2020, Opatija, Croatia : proceedings
2020
/
p. 548-555
https://doi.org/10.23919/MIPRO48935.2020.9245329
artikkel kogumikus
7
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Artificial intelligence and the GDPR : Inevitable nemeses?
Kesa, Aleksandr
;
Kerikmäe, Tanel
TalTech journal of European studies
2020
/
p. 68-90
https://doi.org/10.1515/bjes-2020-0022
https://content.sciendo.com/view/journals/bjes/bjes-overview.xml?tab_body=latestIssueToc-79907
https://www.ester.ee/record=b5290032*est
Journal metrics at Scopus
Article at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
8
artikkel kogumikus
Artificial intelligence in monitoring and diagnostics of electrical energy conversion systems
Vaimann, Toomas
;
Rassõlkin, Anton
;
Kallaste, Ants
;
Pomarnacki, Raimondas
;
Belahcen, Anouar
;
Van Khang, Hyunh
2020 27th International Workshop on Electric Drives: MPEI Department of Electric Drives 90th Anniversary (IWED), Moscow, Russia, January 27-30, 2020
2020
/
4 p
https://doi.org/10.1109/IWED48848.2020.9069566
artikkel kogumikus
9
artikkel kogumikus
Artificial intelligence within the military domain and cyber warfare
Hallaq, Bil
;
Sõmer, Tiia
;
Osula, Anna-Maria
;
Ngo, Kim
;
Mitchener-Nissen, Timothy
Proceedings of the 16th European Conference on Cyber Warfare and Security, ECCWS 2017 : hosted by University College Dublin, Ireland, 29-30 June 2017
2017
/
p. 153-156
https://www.scopus.com/record/display.uri?eid=2-s2.0-85028013021&origin=resultslist&zone=contextBox
artikkel kogumikus
10
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Artificial lateral line for aquatic habitat modelling: An example for Lefua echigonia
Garcia-Vega, Ana
;
Fuentes-Perez, Juan Francisco
;
Fukuda, Shinji
;
Kruusmaa, Maarja
;
Sanz-Ronda, Francisco Javier
;
Tuhtan, Jeffrey Andrew
Ecological Informatics
2021
/
art. 101388
https://doi.org/10.1016/j.ecoinf.2021.101388
Journal metrics at Scopus
Article at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
11
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Behavioural compass : animal behaviour recognition using magnetometers
Chakravarty, Pritish
;
Maalberg, Maiki
;
Cozzi, Gabriele
;
Ozgul, Arpat
;
Aminian, Kamiar
Movement Ecology
2019
/
Art. nr. 28
https://doi.org/10.1186/s40462-019-0172-6
Journal metrics at Scopus
Article at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
12
artikkel kogumikus
CapsNet on embedded devices in a data scarce scenario
Ezechukwu, Dismas Ndubuis
;
Le Moullec, Yannick
2022 18th Biennial Baltic Electronics Conference (BEC)
2022
/
6 l.
https://doi.org/10.1109/BEC56180.2022.9935600
artikkel kogumikus
13
artikkel ajakirjas
Comparison of Bayesian and particle swarm algorithms for hyperparameter optimisation in machine learning applications in high energy physics
Tani, Laurits
;
Veelken, Christian
Computer physics communications
2024
/
p. 108955
https://doi.org/10.1016/j.cpc.2023.108955
artikkel ajakirjas
14
artikkel ajakirjas
Comparison of Bayesian and particle swarm algorithms for hyperparameter optimisation in machine learning applications in high energy physics : [preprint]
Tani, Laurits
;
Veelken, Christian
arXiv.org
2024
/
8 p. : ill
https://doi.org/10.48550/arXiv.2201.06809
artikkel ajakirjas
15
artikkel kogumikus
Comparison of machine learning based methods for residential load forecasting
Shabbir, Noman
;
Ahmadiahangar, Roya
;
Kütt, Lauri
;
Rosin, Argo
2019 Electric Power Quality and Supply Reliability Conference (PQ) & 2019 Symposium on Electrical Engineering and Mechatronics (SEEM), Kärdla, Estonia, June 12-15, 2019 : proceedings
2019
/
4 p. : ill
https://doi.org/10.1109/PQ.2019.8818267
artikkel kogumikus
16
artikkel kogumikus
Custom simplified machine learning algorithms for fault diagnosis in electrical machines
Raja, Hadi Ashraf
;
Asad, Bilal
;
Vaimann, Toomas
;
Kallaste, Ants
;
Rassõlkin, Anton
;
Belahcen, Anouar
Diagnostika '22 : 2022 International Conference on Diagnostics in Electrical Engineering : Conference proceedings
2022
/
4 p.
https://doi.org/10.1109/Diagnostika55131.2022.9905174
artikkel kogumikus
Seotud publikatsioonid
1
IoT based tools and methods for electrical machine diagnostics = Asjade interneti põhised tööriistad ja meetodid elektrimasinate diagnostikaks
17
artikkel kogumikus
Data science-based techniques for modelling and diagnostics of battery cells based on end-of-life criteria
Gilbert Zequera, Rolando Antonio
;
Rassõlkin, Anton
;
Vaimann, Toomas
;
Kallaste, Ants
2023 International Conference on Electrical Drives and Power Electronics (EDPE)
2023
/
6 p
https://doi.org/10.1109/EDPE58625.2023.10274007
artikkel kogumikus
18
artikkel kogumikus
Detailed analysis of the Luria's alternating series tests for Parkinson's disease diagnostics
Nõmm, Sven
;
Bardõš, Konstantin
;
Toomela, Aaro
;
Medijainen, Kadri
;
Taba, Pille
17th IEEE International Conference on Machine Learning and Applications : ICMLA 2018, 17–20 December 2018, Orlando, Florida, USA : proceedings
2018
/
p. 1347–1352
https://doi.org/10.1109/ICMLA.2018.00219
artikkel kogumikus
19
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
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
20
artikkel kogumikus EST
/
artikkel kogumikus ENG
Detecting Simpson’s paradox : a step towards fairness in machine learning
Sharma, Rahul
;
Kaushik, Minakshi
;
Arakkal Peious, Sijo
;
Bertl, Markus
;
Ankit, Vidyarthi
;
Ashwani, Kumar
;
Draheim, Dirk
New Trends in Database and Information Systems : ADBIS 2022 Short Papers, Doctoral Consortium and Workshops : DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5-8, 2022 : proceedings
2022
/
p. 67-76 : ill
https://doi.org/10.1007/978-3-031-15743-1_7
Conference proceedings at Scopus
Article at Scopus
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
21
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Detection and evaluation of driver distraction using machine learning and fuzzy logic
Aksjonov, Andrei
;
Nedoma, Pavel
;
Vodovozov, Valery
;
Petlenkov, Eduard
;
Herrmann, Martin
IEEE Transactions on Intelligent Transportation Systems
2019
/
p. 2048 - 2059
https://doi.org/10.1109/TITS.2018.2857222
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
22
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Detection of bulbar involvement in patients with amyotrophic lateral sclerosis by machine learning voice analysis : diagnostic decision support development study
Tena, Alberto
;
Claria, Francec
;
Solsona, Francesc
;
Meister, Einar
;
Povedano, Monica
JMIR Medical Informatics
2021
/
e21331, 18 p. : ill
https://doi.org/10.2196/21331
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
23
artikkel kogumikus
Differences in Android behavior between real device and emulator : a malware detection perspective
Guerra Manzanares, Alejandro
;
Bahsi, Hayretdin
;
Nõmm, Sven
6th International Conference on Internet of Things: Systems, Management and Security (IOTSMS), Granada, Spain, October 22-25, 2019
2019
/
art. 8939268, p. 399-404
https://doi.org/10.1109/IOTSMS48152.2019.8939268
artikkel kogumikus
24
artikkel kogumikus
Dimensionality reduction for machine learning based IoT botnet detection
Bahsi, Hayretdin
;
Nõmm, Sven
15th International Conference on Control, Automation, Robotics and Vision (ICARCV 2018) : Singapore, November 18-21, 2018
2018
/
p. 1857-1862 : ill
https://doi.org/10.1109/ICARCV.2018.8581205
artikkel kogumikus
25
artikkel ajakirjas
Discretizing numerical attributes : an analysis of human perceptions
Kaushik, Minakshi
;
Sharma, Rahul
;
Draheim, Dirk
arXiv.org
2023
/
18 p. : ill
https://doi.org/10.48550/arXiv.2311.03278
artikkel ajakirjas
Seotud publikatsioonid
1
Generalized association rule mining – dimensional unsupervised learning = Üldistatud assotsiatsioonireeglite kaevandamine – dimensiooniline juhendamata õpe
Kirjeid leitud 103, kuvan
1 - 25
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2
3
4
5
järgmine
võtmesõna
271
1.
adversarial machine learning
2.
adversarial machine-learning
3.
automatic machine learning (autoML)
4.
machine learning
5.
machine learning (ML)
6.
machine learning algorithms
7.
machine learning approach
8.
Machine Learning Explainable model
9.
machine learning for environmental applications
10.
machine-learning
11.
machine-learning predictive model
12.
Parkinson’s disease machine learning
13.
robust machine learning
14.
small data machine learning
15.
supervised machine learning
16.
unsupervised machine learning
17.
machine-to-machine communications
18.
AC machine
19.
Algorithmic State Machine - ASM
20.
axial flux machine
21.
axial flux switched reluctance machine
22.
bearingless machine
23.
brushless machine
24.
coordinate measurring machine
25.
electric machine
26.
electric machine analysis computing
27.
electric machine control
28.
electrical machine
29.
electrical machine cooling
30.
electrical machine design
31.
finite state machine
32.
Finite State Machine - FSM
33.
hierarchical finite state machine
34.
human machine interaction
35.
human machine systems
36.
human-machine interaction
37.
human-machine interface
38.
human-machine system
39.
induction machine
40.
interior permanent magnet machine
41.
interior permanent-magnet synchronous machine (IPMSM)
42.
linear machine
43.
machine bearings
44.
machine condition monitoring
45.
machine control
46.
machine design
47.
machine elements
48.
machine error
49.
machine housing
50.
machine tools
51.
machine vector control
52.
machine windings
53.
machine vision
54.
machine-translation
55.
man-machine systems
56.
massive machine-type communication (mMTC)
57.
massive machine-type communications (mMTC)
58.
massive Machine-Type connections (mMTC)
59.
multi-class support vector machine (m-SVM)
60.
multi-machine
61.
multi-machine industrial power plant
62.
multi-machine power system
63.
multi-stream interaction machine
64.
outer-rotor machine
65.
permanent magnet (PM) synchronous machine
66.
permanent magnet flux-switching machine
67.
permanent magnet machine
68.
permanent magnet synchronous machine (PMSM)
69.
sewing machine operator
70.
state machine
71.
support vector machine
72.
surface permanent magnet machine (SPM)
73.
switched reluctance machine
74.
switched reluctance machine (SRM)
75.
synchronous machine
76.
TBM (tunnel boring machine)
77.
totally enclosed fan-cooled machine
78.
universal friction machine
79.
virtual synchronous machine
80.
active blended learning
81.
active learning
82.
active learning methods
83.
algorithm controlling the learning process
84.
appetitive associative learning
85.
approach to learning
86.
Attitude to learning
87.
authoritarian learning
88.
automata learning
89.
BIM-enabled learning
90.
BIM-enabled learning environment
91.
blended learning
92.
business school as learning organization
93.
business school learning organization questionnaire (BSLOQ)
94.
business school learning rate dependence on GPD
95.
business school learning rate measurement instrument
96.
client learning
97.
Collaborative e-learning
98.
collaborative learning
99.
competence based learning
100.
competence learning
101.
competence-based learning
102.
competency based learning
103.
Component organised learning (COL)
104.
computer assisted language learning
105.
computer based learning
106.
computer-assisted language learning (CALL)
107.
cooperative reinforcement learning
108.
coping with online teaching and learning
109.
customer learning
110.
deep learning
111.
deep learning (DL)
112.
deep learning classifier
113.
deep learning model
114.
deep learning network
115.
deep reinforcement learning
116.
Deep reinforcing learning SDN
117.
Deep-learning
118.
deep-learning (DL)
119.
dictionary learning
120.
digital learning module
121.
Dimensions of Learning Organisation Questionnaire (DLOQ)
122.
distance learning
123.
distant learning
124.
distributed independent reinforcement learning
125.
double Q-learning
126.
effective teaching and learning
127.
e-learning
128.
e‐learning
129.
e-Learning course
130.
e-Learning database
131.
e-learning environment
132.
electronic learning
133.
embedded deep learning
134.
Emergency remote learning
135.
ensemble learning
136.
enterprising and entrepreneurial learning
137.
entrepreneurial learning
138.
entrepreneurial teaching and learning
139.
experiential learning
140.
Federated learning
141.
federated learning (FL)
142.
flexible learning
143.
game based learning
144.
game-based learning
145.
guided in-service learning
146.
hands-on-learning
147.
history learning
148.
hybrid learning
149.
incremental learning
150.
inductive learning
151.
inductive learning algorithm
152.
interactive learning objects
153.
interdisciplinary learning
154.
inverse reinforcement learning
155.
investor learning
156.
iterative learning
157.
Learner-centered learning environment
158.
learning
159.
learning (artificial intelligence)
160.
learning activities
161.
learning adaptation in autonomous vehicles
162.
learning algorithm
163.
learning analysis
164.
learning analytics
165.
learning and experimentation
166.
learning and health outcomes
167.
learning and memory
168.
learning business school
169.
learning by teaching
170.
learning concept
171.
learning difficulties
172.
Learning environment
173.
learning experience
174.
learning infrastructures
175.
Learning Lab
176.
learning management
177.
learning management system
178.
learning management systems
179.
learning methodology
180.
learning metrics
181.
learning models
182.
learning motivation
183.
learning objectives
184.
learning objects
185.
learning organization
186.
learning orientation
187.
learning outcomes
188.
learning process
189.
learning processes
190.
learning rate
191.
learning rate dependence on ownership form
192.
learning rate of organization
193.
learning region
194.
learning situation
195.
learning software agents
196.
learning styles
197.
learning systems
198.
learning technologies
199.
learning theories
200.
learning through the questionnaires
201.
learning university
202.
learning-to-rank
203.
lifelong learning
204.
mathematics students learning habits
205.
Meaningful learning
206.
measuring learning
207.
mobile learning
208.
model learning
209.
Multi-agent reinforcement learning
210.
mutual learning
211.
new learning models
212.
node embedding learning
213.
NREN e-learning
214.
on-device transfer learning
215.
online learning
216.
ontologies for learning systems
217.
ontology learning
218.
organisational learning
219.
organizational learning
220.
organizational learning measurement instruments
221.
organizational learning rate dependence on management
222.
organizational learning rate measurement
223.
outcome oriented learning
224.
peer‐to‐peer learning group
225.
personalised learning
226.
policy learning
227.
problem-based learning
228.
Problem-based learning (PBL)
229.
project learning
230.
project-based learning
231.
Q-learning
232.
Q-learning algorithm
233.
query learning
234.
regional learning
235.
reinforcement learning
236.
Reinforcement Learning (RL)
237.
relative learning performance
238.
Remote learning
239.
research-oriented learning
240.
reusable learning objects
241.
scholarship of teaching and learning
242.
self learning software
243.
self learning system
244.
self-learning
245.
self-regulated learning
246.
semi-supervised learning
247.
smart learning
248.
smart learning environment
249.
social learning
250.
stochastic learning theory
251.
supervised learning
252.
supervised learning data
253.
task based learning
254.
team learning
255.
Technological learning
256.
the dimensions of the learning organisation
257.
the dimensions of the learning organization questionnaire (DLOQ)
258.
tools for interactive learning and teaching
259.
trans-disciplinary social-learning
260.
transfer learning
261.
true online reinforcement learning
262.
ubiquitous learning
263.
unsupervised learning
264.
urban learning center
265.
value of learning
266.
web and computerbased learning
267.
Web and computer-based learning
268.
virtual learning environment
269.
virtual learning factory
270.
work-based learning
271.
workplace learning
autor
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ELIXIR Machine Learning Focus Group
märksõna
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UNDP Urban Learning Center
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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