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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 EST
/
journal article ENG
Adaptive Deep Belief Networks and LightGBM-Based Hybrid Fault Diagnostics for SCADA-Managed PV Systems : A Real-World Case Study
Kull, Karl
;
Khan, Muhammad Amir
;
Asad, Bilal
;
Naseer, Muhammad Usman
;
Kallaste, Ants
;
Vaimann, Toomas
Electronics
2025
/
art. 3649
https://doi.org/10.3390/electronics14183649
journal article EST
/
journal article ENG
3
book article
AI and ML based system for early detection of malignant cells of the brain through image processing pavingway for personalized treatment strategies
Goel, Ruchira
;
Sharma, Rahul
;
Bansal, Khushi
;
Sirohi, Ashutosh
Transforming Healthcare : Mode Technologies and Implementation
2025
/
p. 144-163
https://doi.org/10.1201/9781003634089-8
Article at Scopus
book article
4
journal article EST
/
journal article ENG
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 metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
5
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
Article at Scopus
book article
6
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
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journal article EST
/
journal article ENG
7
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
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
8
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
9
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
10
book article EST
/
book article ENG
Application of artificial intelligence in the analysis of Estonian unstructured clinical text
Kruuser, Ken
;
Bossenko, Igor
;
Lohk, Ahti
;
Piho, Gunnar
;
Ross, Peeter
Intelligent Systems and Applications : Proceedings of the 2025 Intelligent Systems Conference (IntelliSys), Volume 2
2025
/
p. 483-500
https://doi.org/10.1007/978-3-032-00071-2_30
Conference proceedings at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
11
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
12
book article EST
/
book article ENG
Applying machine learning for electronic warfare activity detection at a national scale
Juul, Johan Mattias
;
Roberts, Andrew James
;
Hamad, Mohammad
;
Venables, Adrian Nicholas
;
Ottis, Rain
MILCOM 2025 - 2025 IEEE Military Communications Conference (MILCOM).
2025
/
p. 1-6
https://ieeexplore.ieee.org/document/11309949
https://doi.org/10.1109/MILCOM64451.2025.11309949
Conference proceedings at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
13
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
/
p. 26
https://medialib.cmcdn.dk/medialibrary/010C1367-E991-4A33-AB10-1953247E9C23/530AEABD-3A25-ED11-84B6-00155D0B0940.pdf
book article
14
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
15
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
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Article at WOS
journal article EST
/
journal article ENG
16
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
17
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
18
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
19
book article EST
/
book article ENG
Autonomous realization of safety- and time-critical embedded artificial intelligence
Lindén, Joakim
;
Ermedahl, Andreas
;
Salomonsson, Hans
;
Daneshtalab, Masoud
;
Forsberg, Björn
;
Carbone, Paris
2024 Design, Automation & Test in Europe Conference & Exhibition (DATE) : proceedings : Valencia, Spain, 25-27 March 2024
2024
/
4 p.
https://doi.org//10.23919/DATE58400.2024.10546824
Article collection metrics at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
20
journal article EST
/
journal article ENG
A Bayesian optimization approach for calibrating large-scale activity-based transport models
Agriesti, Serio Angelo Maria
;
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
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
21
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
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
22
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
23
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, 20 p
https://doi.org/10.3390/buildings15111798
journal article EST
/
journal article ENG
24
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
25
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
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keyword
331
1.
adversarial machine learning
2.
adversarial machine-learning
3.
automatic machine learning (autoML)
4.
data analytics and machine learning
5.
explainable machine learning
6.
graph machine learning
7.
interpretable machine learning
8.
machine learning
9.
machine learning (ML)
10.
machine learning algorithms
11.
machine learning applications in power systems
12.
machine learning approach
13.
Machine Learning Explainable model
14.
machine learning for environmental applications
15.
machine learning models
16.
machine learning systems
17.
machine-learning
18.
machine-learning predictive model
19.
Parkinson’s disease machine learning
20.
probability-informed machine learning
21.
robust machine learning
22.
small data machine learning
23.
supervised machine learning
24.
unsupervised machine learning
25.
machine-to-machine communications
26.
AC machine
27.
Algorithmic State Machine - ASM
28.
axial flux machine
29.
axial flux switched reluctance machine
30.
bearingless machine
31.
brushless machine
32.
coordinate measurring machine
33.
electric machine
34.
electric machine analysis computing
35.
electric machine control
36.
electrical machine
37.
electrical machine cooling
38.
electrical machine design
39.
finite state machine
40.
Finite State Machine - FSM
41.
flux switching machine
42.
hierarchical finite state machine
43.
high-frequency machine modeling
44.
human machine interaction
45.
human machine systems
46.
human-machine interaction
47.
human-machine interactions
48.
human-machine interface
49.
human-machine system
50.
induction machine
51.
interior permanent magnet machine
52.
interior permanent-magnet synchronous machine (IPMSM)
53.
logic machine
54.
low-resource machine translation
55.
machine bearings
56.
machine condition monitoring
57.
machine control
58.
machine design
59.
machine elements
60.
machine error
61.
machine housing
62.
machine tools
63.
machine translation
64.
machine vector control
65.
machine windings
66.
machine vision
67.
machine-checked proofs
68.
machine-translation
69.
man-machine systems
70.
massive machine type communication (mMTC)
71.
massive machine-type communication (mMTC)
72.
massive machine-type communication devices (mMTC)
73.
massive machine-type communications (mMTC)
74.
massive Machine-Type connections (mMTC)
75.
multi-class support vector machine (m-SVM)
76.
multi-machine
77.
multi-machine industrial power plant
78.
multi-machine power system
79.
multi-stream interaction machine
80.
neural machine translation
81.
outer-rotor machine
82.
permanent magnet (PM) synchronous machine
83.
permanent magnet flux-switching machine
84.
permanent magnet machine
85.
permanent magnet synchronous machine (PMSM)
86.
reluctance machine
87.
sewing machine operator
88.
spoke-type PM machine
89.
state machine
90.
support vector machine
91.
surface permanent magnet machine (SPM)
92.
switched reluctance machine
93.
switched reluctance machine (SRM)
94.
synchronous machine
95.
TBM (tunnel boring machine)
96.
totally enclosed fan-cooled machine
97.
universal friction machine
98.
virtual synchronous machine
99.
active blended learning
100.
active learning
101.
active learning and engagement
102.
active learning methods
103.
adaptive learning
104.
algorithm controlling the learning process
105.
appetitive associative learning
106.
approach to learning
107.
Artificial Intelligence in learning
108.
Attitude to learning
109.
authoritarian learning
110.
automata learning
111.
bayesian learning
112.
BIM-enabled learning
113.
BIM-enabled learning environment
114.
biophilic learning environments
115.
blended learning
116.
business school as learning organization
117.
business school learning organization questionnaire (BSLOQ)
118.
business school learning rate dependence on GPD
119.
business school learning rate measurement instrument
120.
challenge-based learning
121.
Challenge-Based Learning (CBL)
122.
city-to-city learning
123.
client learning
124.
Collaborative e-learning
125.
collaborative learning
126.
competence based learning
127.
competence learning
128.
competence-based learning
129.
competency based learning
130.
Component organised learning (COL)
131.
computer assisted language learning
132.
computer based learning
133.
computer-assisted language learning (CALL)
134.
contrastive learning
135.
cooperative reinforcement learning
136.
coping with online teaching and learning
137.
customer learning
138.
deep learning
139.
deep learning (DL)
140.
deep learning classifier
141.
deep learning method
142.
deep learning methods
143.
deep learning model
144.
deep learning model quantization
145.
deep learning network
146.
deep reinforcement learning
147.
Deep reinforcing learning SDN
148.
Deep-learning
149.
deep-learning (DL)
150.
dictionary learning
151.
digital learning module
152.
digital remote learning
153.
Dimensions of Learning Organisation Questionnaire (DLOQ)
154.
distance learning
155.
distant learning
156.
distributed independent reinforcement learning
157.
double Q-learning
158.
effective teaching and learning
159.
e-learning
160.
e‐learning
161.
e-Learning course
162.
e-Learning database
163.
e-learning environment
164.
electronic learning
165.
embedded deep learning
166.
Emergency remote learning
167.
ensemble learning
168.
enterprising and entrepreneurial learning
169.
entrepreneurial learning
170.
entrepreneurial teaching and learning
171.
ESG-learning
172.
experiential learning
173.
Federated learning
174.
federated learning (FL)
175.
flexible learning
176.
game based learning
177.
game-based learning
178.
Gamified learning
179.
guided in-service learning
180.
hands-on-learning
181.
history learning
182.
horizontal federated learning
183.
human-centred learning
184.
hybrid learning
185.
Immersive Learning
186.
inclusive learning
187.
incremental learning
188.
inductive learning
189.
inductive learning algorithm
190.
interactive learning objects
191.
interdisciplinary learning
192.
inverse reinforcement learning
193.
investor learning
194.
iterative learning
195.
Kolb’s experiential learning cycle
196.
language learning
197.
Learner-centered learning environment
198.
learning
199.
learning (artificial intelligence)
200.
learning activities
201.
learning adaptation in autonomous vehicles
202.
learning algorithm
203.
learning analysis
204.
learning analytics
205.
learning and experimentation
206.
learning and health outcomes
207.
learning and memory
208.
learning business school
209.
learning by teaching
210.
learning concept
211.
learning content
212.
learning design
213.
learning difficulties
214.
Learning environment
215.
learning experience
216.
learning factory
217.
Learning from Demonstration
218.
learning infrastructures
219.
Learning Lab
220.
learning management
221.
learning management system
222.
learning management systems
223.
learning methodology
224.
learning metrics
225.
learning models
226.
learning motivation
227.
learning objectives
228.
learning objects
229.
learning organization
230.
learning orientation
231.
learning outcomes
232.
learning process
233.
learning processes
234.
learning rate
235.
learning rate dependence on ownership form
236.
learning rate of organization
237.
learning region
238.
learning situation
239.
learning software agents
240.
learning styles
241.
learning systems
242.
learning technologies
243.
learning theories
244.
learning through the questionnaires
245.
learning university
246.
learning-to-rank
247.
lifelong learning
248.
long-short term learning
249.
mathematics students learning habits
250.
Meaningful learning
251.
measuring learning
252.
mobile learning
253.
model learning
254.
Multi-agent deep reinforcement learning
255.
Multi-agent reinforcement learning
256.
multi-task learning
257.
mutual learning
258.
new learning models
259.
node embedding learning
260.
NREN e-learning
261.
on-device transfer learning
262.
online learning
263.
ontologies for learning systems
264.
ontology learning
265.
Open Learning Resources (OLR)
266.
organisational learning
267.
organizational learning
268.
organizational learning measurement instruments
269.
organizational learning rate dependence on management
270.
organizational learning rate measurement
271.
outcome oriented learning
272.
peer‐to‐peer learning group
273.
personalised learning
274.
personalized learning
275.
policy learning
276.
problem-based learning
277.
Problem-based learning (PBL)
278.
project learning
279.
project-based learning
280.
Q-learning
281.
Q-learning algorithm
282.
query learning
283.
regional learning
284.
reinforcement learning
285.
Reinforcement Learning (RL)
286.
relative learning performance
287.
Remote learning
288.
research-oriented learning
289.
reusable learning objects
290.
scholarship of teaching and learning
291.
self learning software
292.
self learning system
293.
self-learning
294.
self-regulated learning
295.
semi-supervised learning
296.
sequence of learning activities
297.
sequence to sequence learning
298.
sequential learning
299.
SIS problem, learning with errors
300.
smart learning
301.
smart learning environment
302.
social learning
303.
socio-emotional learning
304.
stochastic learning theory
305.
student centred learning
306.
supervised contrastive learning
307.
supervised learning
308.
supervised learning data
309.
synchronous hybrid learning
310.
zero-shot learning
311.
task based learning
312.
team learning
313.
Technological learning
314.
technology-enhanced learning
315.
the dimensions of the learning organisation
316.
the dimensions of the learning organization questionnaire (DLOQ)
317.
tools for interactive learning and teaching
318.
trans-disciplinary social-learning
319.
transfer learning
320.
true online reinforcement learning
321.
ubiquitous learning
322.
unsupervised learning
323.
urban learning center
324.
value of learning
325.
web and computerbased learning
326.
Web and computer-based learning
327.
virtual collaborative learning environment (VCLE)
328.
virtual learning environment
329.
virtual learning factory
330.
work-based learning
331.
workplace learning
author
1
1.
ELIXIR Machine Learning Focus Group
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1.
UNDP Urban Learning Center
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