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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
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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
Journal metrics at WOS
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
Journal metrics at WOS
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
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
19
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
20
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
21
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
Seotud publikatsioonid
1
IoT based tools and methods for electrical machine diagnostics = Asjade interneti põhised tööriistad ja meetodid elektrimasinate diagnostikaks
22
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
23
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
24
book article EST
/
book article 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
book article EST
/
book article 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
book article EST
/
book article 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
book article EST
/
book article 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
Number of records 127, displaying
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291
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.
challenge-based learning
105.
client learning
106.
Collaborative e-learning
107.
collaborative learning
108.
competence based learning
109.
competence learning
110.
competence-based learning
111.
competency based learning
112.
Component organised learning (COL)
113.
computer assisted language learning
114.
computer based learning
115.
computer-assisted language learning (CALL)
116.
cooperative reinforcement learning
117.
coping with online teaching and learning
118.
customer learning
119.
deep learning
120.
deep learning (DL)
121.
deep learning classifier
122.
deep learning model
123.
deep learning model quantization
124.
deep learning network
125.
deep reinforcement learning
126.
Deep reinforcing learning SDN
127.
Deep-learning
128.
deep-learning (DL)
129.
dictionary learning
130.
digital learning module
131.
digital remote learning
132.
Dimensions of Learning Organisation Questionnaire (DLOQ)
133.
distance learning
134.
distant learning
135.
distributed independent reinforcement learning
136.
double Q-learning
137.
effective teaching and learning
138.
e-learning
139.
e‐learning
140.
e-Learning course
141.
e-Learning database
142.
e-learning environment
143.
electronic learning
144.
embedded deep learning
145.
Emergency remote learning
146.
ensemble learning
147.
enterprising and entrepreneurial learning
148.
entrepreneurial learning
149.
entrepreneurial teaching and learning
150.
ESG-learning
151.
experiential learning
152.
Federated learning
153.
federated learning (FL)
154.
flexible learning
155.
game based learning
156.
game-based learning
157.
guided in-service learning
158.
hands-on-learning
159.
history learning
160.
horizontal federated learning
161.
hybrid learning
162.
incremental learning
163.
inductive learning
164.
inductive learning algorithm
165.
interactive learning objects
166.
interdisciplinary learning
167.
inverse reinforcement learning
168.
investor learning
169.
iterative learning
170.
Kolb’s experiential learning cycle
171.
language learning
172.
Learner-centered learning environment
173.
learning
174.
learning (artificial intelligence)
175.
learning activities
176.
learning adaptation in autonomous vehicles
177.
learning algorithm
178.
learning analysis
179.
learning analytics
180.
learning and experimentation
181.
learning and health outcomes
182.
learning and memory
183.
learning business school
184.
learning by teaching
185.
learning concept
186.
learning design
187.
learning difficulties
188.
Learning environment
189.
learning experience
190.
learning infrastructures
191.
Learning Lab
192.
learning management
193.
learning management system
194.
learning management systems
195.
learning methodology
196.
learning metrics
197.
learning models
198.
learning motivation
199.
learning objectives
200.
learning objects
201.
learning organization
202.
learning orientation
203.
learning outcomes
204.
learning process
205.
learning processes
206.
learning rate
207.
learning rate dependence on ownership form
208.
learning rate of organization
209.
learning region
210.
learning situation
211.
learning software agents
212.
learning styles
213.
learning systems
214.
learning technologies
215.
learning theories
216.
learning through the questionnaires
217.
learning university
218.
learning-to-rank
219.
lifelong learning
220.
mathematics students learning habits
221.
Meaningful learning
222.
measuring learning
223.
mobile learning
224.
model learning
225.
Multi-agent reinforcement learning
226.
mutual learning
227.
new learning models
228.
node embedding learning
229.
NREN e-learning
230.
on-device transfer learning
231.
online learning
232.
ontologies for learning systems
233.
ontology learning
234.
Open Learning Resources (OLR)
235.
organisational learning
236.
organizational learning
237.
organizational learning measurement instruments
238.
organizational learning rate dependence on management
239.
organizational learning rate measurement
240.
outcome oriented learning
241.
peer‐to‐peer learning group
242.
personalised learning
243.
policy learning
244.
problem-based learning
245.
Problem-based learning (PBL)
246.
project learning
247.
project-based learning
248.
Q-learning
249.
Q-learning algorithm
250.
query learning
251.
regional learning
252.
reinforcement learning
253.
Reinforcement Learning (RL)
254.
relative learning performance
255.
Remote learning
256.
research-oriented learning
257.
reusable learning objects
258.
scholarship of teaching and learning
259.
self learning software
260.
self learning system
261.
self-learning
262.
self-regulated learning
263.
semi-supervised learning
264.
smart learning
265.
smart learning environment
266.
social learning
267.
stochastic learning theory
268.
supervised learning
269.
supervised learning data
270.
zero-shot learning
271.
task based learning
272.
team learning
273.
Technological learning
274.
technology-enhanced learning
275.
the dimensions of the learning organisation
276.
the dimensions of the learning organization questionnaire (DLOQ)
277.
tools for interactive learning and teaching
278.
trans-disciplinary social-learning
279.
transfer learning
280.
true online reinforcement learning
281.
ubiquitous learning
282.
unsupervised learning
283.
urban learning center
284.
value of learning
285.
web and computerbased learning
286.
Web and computer-based learning
287.
virtual collaborative learning environment (VCLE)
288.
virtual learning environment
289.
virtual learning factory
290.
work-based learning
291.
workplace learning
author
1
1.
ELIXIR Machine Learning Focus Group
subject term
1
1.
UNDP Urban Learning Center
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