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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
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
3
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
4
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
5
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
6
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
7
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
8
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
9
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
10
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
11
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
12
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
13
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
14
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
15
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
16
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
17
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
18
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
19
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
20
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
21
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
22
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
23
journal article EST
/
journal article 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
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
24
journal article EST
/
journal article ENG
Detection of bulbar involvement in patients with amyotrophic lateral sclerosis by machine learning voice analysis : diagnostic decision support development study
Tena, Alberto
;
Claria, Francec
;
Solsona, Francesc
;
Meister, Einar
;
Povedano, Monica
JMIR Medical Informatics
2021
/
e21331, 18 p. : ill
https://doi.org/10.2196/21331
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
25
book article
Differences in Android behavior between real device and emulator : a malware detection perspective
Guerra Manzanares, Alejandro
;
Bahsi, Hayretdin
;
Nõmm, Sven
6th International Conference on Internet of Things: Systems, Management and Security (IOTSMS), Granada, Spain, October 22-25, 2019
2019
/
art. 8939268, p. 399-404
https://doi.org/10.1109/IOTSMS48152.2019.8939268
book article
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1.
adversarial machine learning
2.
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3.
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4.
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5.
machine learning
6.
machine learning (ML)
7.
machine learning algorithms
8.
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9.
Machine Learning Explainable model
10.
machine learning for environmental applications
11.
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12.
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13.
machine-learning
14.
machine-learning predictive model
15.
Parkinson’s disease machine learning
16.
robust machine learning
17.
small data machine learning
18.
supervised machine learning
19.
unsupervised machine learning
20.
machine-to-machine communications
21.
AC machine
22.
Algorithmic State Machine - ASM
23.
axial flux machine
24.
axial flux switched reluctance machine
25.
bearingless machine
26.
brushless machine
27.
coordinate measurring machine
28.
electric machine
29.
electric machine analysis computing
30.
electric machine control
31.
electrical machine
32.
electrical machine cooling
33.
electrical machine design
34.
finite state machine
35.
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36.
hierarchical finite state machine
37.
human machine interaction
38.
human machine systems
39.
human-machine interaction
40.
human-machine interface
41.
human-machine system
42.
induction machine
43.
interior permanent magnet machine
44.
interior permanent-magnet synchronous machine (IPMSM)
45.
linear machine
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-translation
58.
man-machine systems
59.
massive machine-type communication (mMTC)
60.
massive machine-type communications (mMTC)
61.
massive Machine-Type connections (mMTC)
62.
multi-class support vector machine (m-SVM)
63.
multi-machine
64.
multi-machine industrial power plant
65.
multi-machine power system
66.
multi-stream interaction machine
67.
outer-rotor machine
68.
permanent magnet (PM) synchronous machine
69.
permanent magnet flux-switching machine
70.
permanent magnet machine
71.
permanent magnet synchronous machine (PMSM)
72.
sewing machine operator
73.
state machine
74.
support vector machine
75.
surface permanent magnet machine (SPM)
76.
switched reluctance machine
77.
switched reluctance machine (SRM)
78.
synchronous machine
79.
TBM (tunnel boring machine)
80.
totally enclosed fan-cooled machine
81.
universal friction machine
82.
virtual synchronous machine
83.
active blended learning
84.
active learning
85.
active learning methods
86.
algorithm controlling the learning process
87.
appetitive associative learning
88.
approach to learning
89.
Attitude to learning
90.
authoritarian learning
91.
automata learning
92.
BIM-enabled learning
93.
BIM-enabled learning environment
94.
blended learning
95.
business school as learning organization
96.
business school learning organization questionnaire (BSLOQ)
97.
business school learning rate dependence on GPD
98.
business school learning rate measurement instrument
99.
client learning
100.
Collaborative e-learning
101.
collaborative learning
102.
competence based learning
103.
competence learning
104.
competence-based learning
105.
competency based learning
106.
Component organised learning (COL)
107.
computer assisted language learning
108.
computer based learning
109.
computer-assisted language learning (CALL)
110.
cooperative reinforcement learning
111.
coping with online teaching and learning
112.
customer learning
113.
deep learning
114.
deep learning (DL)
115.
deep learning classifier
116.
deep learning model
117.
deep learning network
118.
deep reinforcement learning
119.
Deep reinforcing learning SDN
120.
Deep-learning
121.
deep-learning (DL)
122.
dictionary learning
123.
digital learning module
124.
Dimensions of Learning Organisation Questionnaire (DLOQ)
125.
distance learning
126.
distant learning
127.
distributed independent reinforcement learning
128.
double Q-learning
129.
effective teaching and learning
130.
e-learning
131.
e‐learning
132.
e-Learning course
133.
e-Learning database
134.
e-learning environment
135.
electronic learning
136.
embedded deep learning
137.
Emergency remote learning
138.
ensemble learning
139.
enterprising and entrepreneurial learning
140.
entrepreneurial learning
141.
entrepreneurial teaching and learning
142.
experiential learning
143.
Federated learning
144.
federated learning (FL)
145.
flexible learning
146.
game based learning
147.
game-based learning
148.
guided in-service learning
149.
hands-on-learning
150.
history learning
151.
hybrid learning
152.
incremental learning
153.
inductive learning
154.
inductive learning algorithm
155.
interactive learning objects
156.
interdisciplinary learning
157.
inverse reinforcement learning
158.
investor learning
159.
iterative learning
160.
Learner-centered learning environment
161.
learning
162.
learning (artificial intelligence)
163.
learning activities
164.
learning adaptation in autonomous vehicles
165.
learning algorithm
166.
learning analysis
167.
learning analytics
168.
learning and experimentation
169.
learning and health outcomes
170.
learning and memory
171.
learning business school
172.
learning by teaching
173.
learning concept
174.
learning design
175.
learning difficulties
176.
Learning environment
177.
learning experience
178.
learning infrastructures
179.
Learning Lab
180.
learning management
181.
learning management system
182.
learning management systems
183.
learning methodology
184.
learning metrics
185.
learning models
186.
learning motivation
187.
learning objectives
188.
learning objects
189.
learning organization
190.
learning orientation
191.
learning outcomes
192.
learning process
193.
learning processes
194.
learning rate
195.
learning rate dependence on ownership form
196.
learning rate of organization
197.
learning region
198.
learning situation
199.
learning software agents
200.
learning styles
201.
learning systems
202.
learning technologies
203.
learning theories
204.
learning through the questionnaires
205.
learning university
206.
learning-to-rank
207.
lifelong learning
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mathematics students learning habits
209.
Meaningful learning
210.
measuring learning
211.
mobile learning
212.
model learning
213.
Multi-agent reinforcement learning
214.
mutual learning
215.
new learning models
216.
node embedding learning
217.
NREN e-learning
218.
on-device transfer learning
219.
online learning
220.
ontologies for learning systems
221.
ontology learning
222.
organisational learning
223.
organizational learning
224.
organizational learning measurement instruments
225.
organizational learning rate dependence on management
226.
organizational learning rate measurement
227.
outcome oriented learning
228.
peer‐to‐peer learning group
229.
personalised learning
230.
policy learning
231.
problem-based learning
232.
Problem-based learning (PBL)
233.
project learning
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project-based learning
235.
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236.
Q-learning algorithm
237.
query learning
238.
regional learning
239.
reinforcement learning
240.
Reinforcement Learning (RL)
241.
relative learning performance
242.
Remote learning
243.
research-oriented learning
244.
reusable learning objects
245.
scholarship of teaching and learning
246.
self learning software
247.
self learning system
248.
self-learning
249.
self-regulated learning
250.
semi-supervised learning
251.
smart learning
252.
smart learning environment
253.
social learning
254.
stochastic learning theory
255.
supervised learning
256.
supervised learning data
257.
task based learning
258.
team learning
259.
Technological learning
260.
the dimensions of the learning organisation
261.
the dimensions of the learning organization questionnaire (DLOQ)
262.
tools for interactive learning and teaching
263.
trans-disciplinary social-learning
264.
transfer learning
265.
true online reinforcement learning
266.
ubiquitous learning
267.
unsupervised learning
268.
urban learning center
269.
value of learning
270.
web and computerbased learning
271.
Web and computer-based learning
272.
virtual learning environment
273.
virtual learning factory
274.
work-based learning
275.
workplace learning
author
1
1.
ELIXIR Machine Learning Focus Group
subject term
1
1.
UNDP Urban Learning Center
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