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1
book article
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
book article
2
journal article
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
journal article
3
book article
AI generated route data pre-processing for faster decision making
Maas, Rene
;
Ševtšenko, Eduard
;
Karaulova, Tatjana
2024 8th International Young Engineers Forum on Electrical and Computer Engineering (YEF-ECE)
2024
/
p. 82-87
https://doi.org/10.1109/YEF-ECE62614.2024.10625086
book article
4
journal article EST
/
journal article 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
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
5
journal article EST
/
journal article 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
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
6
journal article EST
/
journal article 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
journal article EST
/
journal article ENG
7
journal article EST
/
journal article 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
Journal metrics at Scopus
Article at Scopus
journal article EST
/
journal article ENG
8
journal article EST
/
journal article 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
journal article EST
/
journal article ENG
9
book article
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
book article
10
book article
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
book article
11
journal article EST
/
journal article 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
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
12
book article
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
book article
13
book article
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
book article
14
journal article EST
/
journal article 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
journal article EST
/
journal article ENG
15
journal article EST
/
journal article 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
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
16
journal article EST
/
journal article 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
journal article EST
/
journal article ENG
17
book article
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
book article
18
journal article EST
/
journal article ENG
Comparing domain expert and machine learning data enrichment of building registry
Torim, Ants
;
Iliste, Elisa
;
Pikas, Ergo
;
Liiv, Innar
;
Robal, Tarmo
;
Kalamees, Targo
Buildings
2025
/
art. 1798
https://doi.org/10.3390/buildings15111798
journal article EST
/
journal article ENG
19
journal article
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
journal article
20
journal article
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
journal article
21
book article
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
book article
22
journal article
Current AI applications by Estonian tax authorities and use case scenarios
Künnapas, Kaido
;
Maslionkina, Palina
;
Hinno, Risto
;
Liberts, Raivis
TalTech Journal of European Studies
2025
/
p. 179-208
https://www.ester.ee/record=b5290032*est
https://doi.org/10.2478/bjes-2025-0010
journal article
23
book article
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
book article
Related publications
1
IoT based tools and methods for electrical machine diagnostics = Asjade interneti põhised tööriistad ja meetodid elektrimasinate diagnostikaks
24
book article
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
book article
25
book article
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
book article
Number of records 136, displaying
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keyword
306
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.
high-frequency machine modeling
39.
human machine interaction
40.
human machine systems
41.
human-machine interaction
42.
human-machine interactions
43.
human-machine interface
44.
human-machine system
45.
induction machine
46.
interior permanent magnet machine
47.
interior permanent-magnet synchronous machine (IPMSM)
48.
logic machine
49.
low-resource machine translation
50.
machine bearings
51.
machine condition monitoring
52.
machine control
53.
machine design
54.
machine elements
55.
machine error
56.
machine housing
57.
machine tools
58.
machine translation
59.
machine vector control
60.
machine windings
61.
machine vision
62.
machine-checked proofs
63.
machine-translation
64.
man-machine systems
65.
massive machine type communication (mMTC)
66.
massive machine-type communication (mMTC)
67.
massive machine-type communications (mMTC)
68.
massive Machine-Type connections (mMTC)
69.
multi-class support vector machine (m-SVM)
70.
multi-machine
71.
multi-machine industrial power plant
72.
multi-machine power system
73.
multi-stream interaction machine
74.
neural machine translation
75.
outer-rotor machine
76.
permanent magnet (PM) synchronous machine
77.
permanent magnet flux-switching machine
78.
permanent magnet machine
79.
permanent magnet synchronous machine (PMSM)
80.
reluctance machine
81.
sewing machine operator
82.
state machine
83.
support vector machine
84.
surface permanent magnet machine (SPM)
85.
switched reluctance machine
86.
switched reluctance machine (SRM)
87.
synchronous machine
88.
TBM (tunnel boring machine)
89.
totally enclosed fan-cooled machine
90.
universal friction machine
91.
virtual synchronous machine
92.
active blended learning
93.
active learning
94.
active learning methods
95.
algorithm controlling the learning process
96.
appetitive associative learning
97.
approach to learning
98.
Attitude to learning
99.
authoritarian learning
100.
automata learning
101.
bayesian learning
102.
BIM-enabled learning
103.
BIM-enabled learning environment
104.
blended learning
105.
business school as learning organization
106.
business school learning organization questionnaire (BSLOQ)
107.
business school learning rate dependence on GPD
108.
business school learning rate measurement instrument
109.
challenge-based learning
110.
client learning
111.
Collaborative e-learning
112.
collaborative learning
113.
competence based learning
114.
competence learning
115.
competence-based learning
116.
competency based learning
117.
Component organised learning (COL)
118.
computer assisted language learning
119.
computer based learning
120.
computer-assisted language learning (CALL)
121.
cooperative reinforcement learning
122.
coping with online teaching and learning
123.
customer learning
124.
deep learning
125.
deep learning (DL)
126.
deep learning classifier
127.
deep learning method
128.
deep learning methods
129.
deep learning model
130.
deep learning model quantization
131.
deep learning network
132.
deep reinforcement learning
133.
Deep reinforcing learning SDN
134.
Deep-learning
135.
deep-learning (DL)
136.
dictionary learning
137.
digital learning module
138.
digital remote learning
139.
Dimensions of Learning Organisation Questionnaire (DLOQ)
140.
distance learning
141.
distant learning
142.
distributed independent reinforcement learning
143.
double Q-learning
144.
effective teaching and learning
145.
e-learning
146.
e‐learning
147.
e-Learning course
148.
e-Learning database
149.
e-learning environment
150.
electronic learning
151.
embedded deep learning
152.
Emergency remote learning
153.
ensemble learning
154.
enterprising and entrepreneurial learning
155.
entrepreneurial learning
156.
entrepreneurial teaching and learning
157.
ESG-learning
158.
experiential learning
159.
Federated learning
160.
federated learning (FL)
161.
flexible learning
162.
game based learning
163.
game-based learning
164.
guided in-service learning
165.
hands-on-learning
166.
history learning
167.
horizontal federated learning
168.
human-centred learning
169.
hybrid learning
170.
incremental learning
171.
inductive learning
172.
inductive learning algorithm
173.
interactive learning objects
174.
interdisciplinary learning
175.
inverse reinforcement learning
176.
investor learning
177.
iterative learning
178.
Kolb’s experiential learning cycle
179.
language learning
180.
Learner-centered learning environment
181.
learning
182.
learning (artificial intelligence)
183.
learning activities
184.
learning adaptation in autonomous vehicles
185.
learning algorithm
186.
learning analysis
187.
learning analytics
188.
learning and experimentation
189.
learning and health outcomes
190.
learning and memory
191.
learning business school
192.
learning by teaching
193.
learning concept
194.
learning design
195.
learning difficulties
196.
Learning environment
197.
learning experience
198.
Learning from Demonstration
199.
learning infrastructures
200.
Learning Lab
201.
learning management
202.
learning management system
203.
learning management systems
204.
learning methodology
205.
learning metrics
206.
learning models
207.
learning motivation
208.
learning objectives
209.
learning objects
210.
learning organization
211.
learning orientation
212.
learning outcomes
213.
learning process
214.
learning processes
215.
learning rate
216.
learning rate dependence on ownership form
217.
learning rate of organization
218.
learning region
219.
learning situation
220.
learning software agents
221.
learning styles
222.
learning systems
223.
learning technologies
224.
learning theories
225.
learning through the questionnaires
226.
learning university
227.
learning-to-rank
228.
lifelong learning
229.
long-short term learning
230.
mathematics students learning habits
231.
Meaningful learning
232.
measuring learning
233.
mobile learning
234.
model learning
235.
Multi-agent reinforcement learning
236.
multi-task learning
237.
mutual learning
238.
new learning models
239.
node embedding learning
240.
NREN e-learning
241.
on-device transfer learning
242.
online learning
243.
ontologies for learning systems
244.
ontology learning
245.
Open Learning Resources (OLR)
246.
organisational learning
247.
organizational learning
248.
organizational learning measurement instruments
249.
organizational learning rate dependence on management
250.
organizational learning rate measurement
251.
outcome oriented learning
252.
peer‐to‐peer learning group
253.
personalised learning
254.
policy learning
255.
problem-based learning
256.
Problem-based learning (PBL)
257.
project learning
258.
project-based learning
259.
Q-learning
260.
Q-learning algorithm
261.
query learning
262.
regional learning
263.
reinforcement learning
264.
Reinforcement Learning (RL)
265.
relative learning performance
266.
Remote learning
267.
research-oriented learning
268.
reusable learning objects
269.
scholarship of teaching and learning
270.
self learning software
271.
self learning system
272.
self-learning
273.
self-regulated learning
274.
semi-supervised learning
275.
SIS problem, learning with errors
276.
smart learning
277.
smart learning environment
278.
social learning
279.
stochastic learning theory
280.
student centred learning
281.
supervised contrastive learning
282.
supervised learning
283.
supervised learning data
284.
synchronous hybrid learning
285.
zero-shot learning
286.
task based learning
287.
team learning
288.
Technological learning
289.
technology-enhanced learning
290.
the dimensions of the learning organisation
291.
the dimensions of the learning organization questionnaire (DLOQ)
292.
tools for interactive learning and teaching
293.
trans-disciplinary social-learning
294.
transfer learning
295.
true online reinforcement learning
296.
ubiquitous learning
297.
unsupervised learning
298.
urban learning center
299.
value of learning
300.
web and computerbased learning
301.
Web and computer-based learning
302.
virtual collaborative learning environment (VCLE)
303.
virtual learning environment
304.
virtual learning factory
305.
work-based learning
306.
workplace learning
author
1
1.
ELIXIR Machine Learning Focus Group
subject term
1
1.
UNDP Urban Learning Center
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