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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
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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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artikkel ajakirjas ENG
Kirjeid leitud 126, kuvan
1 - 25
eelmine
1
2
3
4
5
6
järgmine
võtmesõna
289
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 interactions
42.
human-machine interface
43.
human-machine system
44.
induction machine
45.
interior permanent magnet machine
46.
interior permanent-magnet synchronous machine (IPMSM)
47.
machine bearings
48.
machine condition monitoring
49.
machine control
50.
machine design
51.
machine elements
52.
machine error
53.
machine housing
54.
machine tools
55.
machine vector control
56.
machine windings
57.
machine vision
58.
machine-checked proofs
59.
machine-translation
60.
man-machine systems
61.
massive machine type communication (mMTC)
62.
massive machine-type communication (mMTC)
63.
massive machine-type communications (mMTC)
64.
massive Machine-Type connections (mMTC)
65.
multi-class support vector machine (m-SVM)
66.
multi-machine
67.
multi-machine industrial power plant
68.
multi-machine power system
69.
multi-stream interaction machine
70.
neural machine translation
71.
outer-rotor machine
72.
permanent magnet (PM) synchronous machine
73.
permanent magnet flux-switching machine
74.
permanent magnet machine
75.
permanent magnet synchronous machine (PMSM)
76.
reluctance machine
77.
sewing machine operator
78.
state machine
79.
support vector machine
80.
surface permanent magnet machine (SPM)
81.
switched reluctance machine
82.
switched reluctance machine (SRM)
83.
synchronous machine
84.
TBM (tunnel boring machine)
85.
totally enclosed fan-cooled machine
86.
universal friction machine
87.
virtual synchronous machine
88.
active blended learning
89.
active learning
90.
active learning methods
91.
algorithm controlling the learning process
92.
appetitive associative learning
93.
approach to learning
94.
Attitude to learning
95.
authoritarian learning
96.
automata learning
97.
BIM-enabled learning
98.
BIM-enabled learning environment
99.
blended learning
100.
business school as learning organization
101.
business school learning organization questionnaire (BSLOQ)
102.
business school learning rate dependence on GPD
103.
business school learning rate measurement instrument
104.
client learning
105.
Collaborative e-learning
106.
collaborative learning
107.
competence based learning
108.
competence learning
109.
competence-based learning
110.
competency based learning
111.
Component organised learning (COL)
112.
computer assisted language learning
113.
computer based learning
114.
computer-assisted language learning (CALL)
115.
cooperative reinforcement learning
116.
coping with online teaching and learning
117.
customer learning
118.
deep learning
119.
deep learning (DL)
120.
deep learning classifier
121.
deep learning model
122.
deep learning model quantization
123.
deep learning network
124.
deep reinforcement learning
125.
Deep reinforcing learning SDN
126.
Deep-learning
127.
deep-learning (DL)
128.
dictionary learning
129.
digital learning module
130.
digital remote learning
131.
Dimensions of Learning Organisation Questionnaire (DLOQ)
132.
distance learning
133.
distant learning
134.
distributed independent reinforcement learning
135.
double Q-learning
136.
effective teaching and learning
137.
e-learning
138.
e‐learning
139.
e-Learning course
140.
e-Learning database
141.
e-learning environment
142.
electronic learning
143.
embedded deep learning
144.
Emergency remote learning
145.
ensemble learning
146.
enterprising and entrepreneurial learning
147.
entrepreneurial learning
148.
entrepreneurial teaching and learning
149.
ESG-learning
150.
experiential learning
151.
Federated learning
152.
federated learning (FL)
153.
flexible learning
154.
game based learning
155.
game-based learning
156.
guided in-service learning
157.
hands-on-learning
158.
history learning
159.
horizontal federated learning
160.
hybrid learning
161.
incremental learning
162.
inductive learning
163.
inductive learning algorithm
164.
interactive learning objects
165.
interdisciplinary learning
166.
inverse reinforcement learning
167.
investor learning
168.
iterative learning
169.
Kolb’s experiential learning cycle
170.
language learning
171.
Learner-centered learning environment
172.
learning
173.
learning (artificial intelligence)
174.
learning activities
175.
learning adaptation in autonomous vehicles
176.
learning algorithm
177.
learning analysis
178.
learning analytics
179.
learning and experimentation
180.
learning and health outcomes
181.
learning and memory
182.
learning business school
183.
learning by teaching
184.
learning concept
185.
learning design
186.
learning difficulties
187.
Learning environment
188.
learning experience
189.
learning infrastructures
190.
Learning Lab
191.
learning management
192.
learning management system
193.
learning management systems
194.
learning methodology
195.
learning metrics
196.
learning models
197.
learning motivation
198.
learning objectives
199.
learning objects
200.
learning organization
201.
learning orientation
202.
learning outcomes
203.
learning process
204.
learning processes
205.
learning rate
206.
learning rate dependence on ownership form
207.
learning rate of organization
208.
learning region
209.
learning situation
210.
learning software agents
211.
learning styles
212.
learning systems
213.
learning technologies
214.
learning theories
215.
learning through the questionnaires
216.
learning university
217.
learning-to-rank
218.
lifelong learning
219.
mathematics students learning habits
220.
Meaningful learning
221.
measuring learning
222.
mobile learning
223.
model learning
224.
Multi-agent reinforcement learning
225.
mutual learning
226.
new learning models
227.
node embedding learning
228.
NREN e-learning
229.
on-device transfer learning
230.
online learning
231.
ontologies for learning systems
232.
ontology learning
233.
organisational learning
234.
organizational learning
235.
organizational learning measurement instruments
236.
organizational learning rate dependence on management
237.
organizational learning rate measurement
238.
outcome oriented learning
239.
peer‐to‐peer learning group
240.
personalised learning
241.
policy learning
242.
problem-based learning
243.
Problem-based learning (PBL)
244.
project learning
245.
project-based learning
246.
Q-learning
247.
Q-learning algorithm
248.
query learning
249.
regional learning
250.
reinforcement learning
251.
Reinforcement Learning (RL)
252.
relative learning performance
253.
Remote learning
254.
research-oriented learning
255.
reusable learning objects
256.
scholarship of teaching and learning
257.
self learning software
258.
self learning system
259.
self-learning
260.
self-regulated learning
261.
semi-supervised learning
262.
smart learning
263.
smart learning environment
264.
social learning
265.
stochastic learning theory
266.
supervised learning
267.
supervised learning data
268.
zero-shot learning
269.
task based learning
270.
team learning
271.
Technological learning
272.
technology-enhanced learning
273.
the dimensions of the learning organisation
274.
the dimensions of the learning organization questionnaire (DLOQ)
275.
tools for interactive learning and teaching
276.
trans-disciplinary social-learning
277.
transfer learning
278.
true online reinforcement learning
279.
ubiquitous learning
280.
unsupervised learning
281.
urban learning center
282.
value of learning
283.
web and computerbased learning
284.
Web and computer-based learning
285.
virtual collaborative learning environment (VCLE)
286.
virtual learning environment
287.
virtual learning factory
288.
work-based learning
289.
workplace learning
autor
1
1.
ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
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