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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
AI applications to enhance resilience in power systems and microgrids - a review
Zahraoui, Younes
;
Korõtko, Tarmo
;
Rosin, Argo
;
Mekhilef, Saad
;
Seyedmahmoudian, Mehdi
;
Stojcevski, Alex
;
Alhamrouni, Ibrahim
Sustainability
2024
/
art. 4959
https://doi.org/10.3390/su16124959
artikkel ajakirjas
3
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Anomaly detection, classification and identification Tool (ADCIT)
Asefi, Sajjad
;
Mitrovic, Mile
;
Cetenovic, Dragan
;
Levi, Victor
;
Gryazina, Elena
;
Terzija, Vladimir
Software impacts
2023
/
art. 100465, 3 p. : ill
https://doi.org/10.1016/j.simpa.2023.100465
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artikkel ajakirjas EST
/
artikkel ajakirjas ENG
4
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Anti-money laundering powered by graph machine learning: 'Show me your friends and I will tell you who you are'
Astrova, Irina
Intelligent decision technologies
2023
/
p. 243-261
https://doi.org/10.3233/IDT-220193
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artikkel ajakirjas EST
/
artikkel ajakirjas ENG
5
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
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artikkel ajakirjas EST
/
artikkel ajakirjas ENG
6
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
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
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artikkel ajakirjas EST
/
artikkel ajakirjas ENG
7
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
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artikkel ajakirjas EST
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artikkel ajakirjas ENG
8
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
9
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
10
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
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artikkel ajakirjas EST
/
artikkel ajakirjas ENG
11
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
12
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
13
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
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artikkel ajakirjas EST
/
artikkel ajakirjas ENG
14
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
A Bayesian optimization approach for calibrating large-scale activity-based transport models
Agriesti, Serio
;
Kuzmanovski, Vladimir
;
Hollmen, Jaakko
;
Roncoli, Claudio
;
Nahmias-Biran, Bat-Hen
IEEE Open Journal of Intelligent Transportation Systems
2023
/
p. 740 - 754
https://doi.org/10.1109/OJITS.2023.3321110
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artikkel ajakirjas EST
/
artikkel ajakirjas ENG
15
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
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artikkel ajakirjas EST
/
artikkel ajakirjas ENG
16
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
17
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
18
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
19
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
20
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
21
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
22
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
23
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
24
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
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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
25
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
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Kirjeid leitud 115, kuvan
1 - 25
eelmine
1
2
3
4
5
järgmine
võtmesõna
278
1.
adversarial machine learning
2.
adversarial machine-learning
3.
automatic machine learning (autoML)
4.
graph machine learning
5.
interpretable machine learning
6.
machine learning
7.
machine learning (ML)
8.
machine learning algorithms
9.
machine learning approach
10.
Machine Learning Explainable model
11.
machine learning for environmental applications
12.
machine learning models
13.
machine learning systems
14.
machine-learning
15.
machine-learning predictive model
16.
Parkinson’s disease machine learning
17.
robust machine learning
18.
small data machine learning
19.
supervised machine learning
20.
unsupervised machine learning
21.
machine-to-machine communications
22.
AC machine
23.
Algorithmic State Machine - ASM
24.
axial flux machine
25.
axial flux switched reluctance machine
26.
bearingless machine
27.
brushless machine
28.
coordinate measurring machine
29.
electric machine
30.
electric machine analysis computing
31.
electric machine control
32.
electrical machine
33.
electrical machine cooling
34.
electrical machine design
35.
finite state machine
36.
Finite State Machine - FSM
37.
hierarchical finite state machine
38.
human machine interaction
39.
human machine systems
40.
human-machine interaction
41.
human-machine interface
42.
human-machine system
43.
induction machine
44.
interior permanent magnet machine
45.
interior permanent-magnet synchronous machine (IPMSM)
46.
machine bearings
47.
machine condition monitoring
48.
machine control
49.
machine design
50.
machine elements
51.
machine error
52.
machine housing
53.
machine tools
54.
machine vector control
55.
machine windings
56.
machine vision
57.
machine-checked proofs
58.
machine-translation
59.
man-machine systems
60.
massive machine-type communication (mMTC)
61.
massive machine-type communications (mMTC)
62.
massive Machine-Type connections (mMTC)
63.
multi-class support vector machine (m-SVM)
64.
multi-machine
65.
multi-machine industrial power plant
66.
multi-machine power system
67.
multi-stream interaction machine
68.
outer-rotor machine
69.
permanent magnet (PM) synchronous machine
70.
permanent magnet flux-switching machine
71.
permanent magnet machine
72.
permanent magnet synchronous machine (PMSM)
73.
sewing machine operator
74.
state machine
75.
support vector machine
76.
surface permanent magnet machine (SPM)
77.
switched reluctance machine
78.
switched reluctance machine (SRM)
79.
synchronous machine
80.
TBM (tunnel boring machine)
81.
totally enclosed fan-cooled machine
82.
universal friction machine
83.
virtual synchronous machine
84.
active blended learning
85.
active learning
86.
active learning methods
87.
algorithm controlling the learning process
88.
appetitive associative learning
89.
approach to learning
90.
Attitude to learning
91.
authoritarian learning
92.
automata learning
93.
BIM-enabled learning
94.
BIM-enabled learning environment
95.
blended learning
96.
business school as learning organization
97.
business school learning organization questionnaire (BSLOQ)
98.
business school learning rate dependence on GPD
99.
business school learning rate measurement instrument
100.
client learning
101.
Collaborative e-learning
102.
collaborative learning
103.
competence based learning
104.
competence learning
105.
competence-based learning
106.
competency based learning
107.
Component organised learning (COL)
108.
computer assisted language learning
109.
computer based learning
110.
computer-assisted language learning (CALL)
111.
cooperative reinforcement learning
112.
coping with online teaching and learning
113.
customer learning
114.
deep learning
115.
deep learning (DL)
116.
deep learning classifier
117.
deep learning model
118.
deep learning model quantization
119.
deep learning network
120.
deep reinforcement learning
121.
Deep reinforcing learning SDN
122.
Deep-learning
123.
deep-learning (DL)
124.
dictionary learning
125.
digital learning module
126.
Dimensions of Learning Organisation Questionnaire (DLOQ)
127.
distance learning
128.
distant learning
129.
distributed independent reinforcement learning
130.
double Q-learning
131.
effective teaching and learning
132.
e-learning
133.
e‐learning
134.
e-Learning course
135.
e-Learning database
136.
e-learning environment
137.
electronic learning
138.
embedded deep learning
139.
Emergency remote learning
140.
ensemble learning
141.
enterprising and entrepreneurial learning
142.
entrepreneurial learning
143.
entrepreneurial teaching and learning
144.
experiential learning
145.
Federated learning
146.
federated learning (FL)
147.
flexible learning
148.
game based learning
149.
game-based learning
150.
guided in-service learning
151.
hands-on-learning
152.
history learning
153.
hybrid learning
154.
incremental learning
155.
inductive learning
156.
inductive learning algorithm
157.
interactive learning objects
158.
interdisciplinary learning
159.
inverse reinforcement learning
160.
investor learning
161.
iterative learning
162.
Learner-centered learning environment
163.
learning
164.
learning (artificial intelligence)
165.
learning activities
166.
learning adaptation in autonomous vehicles
167.
learning algorithm
168.
learning analysis
169.
learning analytics
170.
learning and experimentation
171.
learning and health outcomes
172.
learning and memory
173.
learning business school
174.
learning by teaching
175.
learning concept
176.
learning design
177.
learning difficulties
178.
Learning environment
179.
learning experience
180.
learning infrastructures
181.
Learning Lab
182.
learning management
183.
learning management system
184.
learning management systems
185.
learning methodology
186.
learning metrics
187.
learning models
188.
learning motivation
189.
learning objectives
190.
learning objects
191.
learning organization
192.
learning orientation
193.
learning outcomes
194.
learning process
195.
learning processes
196.
learning rate
197.
learning rate dependence on ownership form
198.
learning rate of organization
199.
learning region
200.
learning situation
201.
learning software agents
202.
learning styles
203.
learning systems
204.
learning technologies
205.
learning theories
206.
learning through the questionnaires
207.
learning university
208.
learning-to-rank
209.
lifelong learning
210.
mathematics students learning habits
211.
Meaningful learning
212.
measuring learning
213.
mobile learning
214.
model learning
215.
Multi-agent reinforcement learning
216.
mutual learning
217.
new learning models
218.
node embedding learning
219.
NREN e-learning
220.
on-device transfer learning
221.
online learning
222.
ontologies for learning systems
223.
ontology learning
224.
organisational learning
225.
organizational learning
226.
organizational learning measurement instruments
227.
organizational learning rate dependence on management
228.
organizational learning rate measurement
229.
outcome oriented learning
230.
peer‐to‐peer learning group
231.
personalised learning
232.
policy learning
233.
problem-based learning
234.
Problem-based learning (PBL)
235.
project learning
236.
project-based learning
237.
Q-learning
238.
Q-learning algorithm
239.
query learning
240.
regional learning
241.
reinforcement learning
242.
Reinforcement Learning (RL)
243.
relative learning performance
244.
Remote learning
245.
research-oriented learning
246.
reusable learning objects
247.
scholarship of teaching and learning
248.
self learning software
249.
self learning system
250.
self-learning
251.
self-regulated learning
252.
semi-supervised learning
253.
smart learning
254.
smart learning environment
255.
social learning
256.
stochastic learning theory
257.
supervised learning
258.
supervised learning data
259.
task based learning
260.
team learning
261.
Technological learning
262.
technology-enhanced learning
263.
the dimensions of the learning organisation
264.
the dimensions of the learning organization questionnaire (DLOQ)
265.
tools for interactive learning and teaching
266.
trans-disciplinary social-learning
267.
transfer learning
268.
true online reinforcement learning
269.
ubiquitous learning
270.
unsupervised learning
271.
urban learning center
272.
value of learning
273.
web and computerbased learning
274.
Web and computer-based learning
275.
virtual learning environment
276.
virtual learning factory
277.
work-based learning
278.
workplace learning
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ELIXIR Machine Learning Focus Group
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UNDP Urban Learning Center
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