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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 kogumikus
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
artikkel kogumikus
4
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
5
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
6
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
Conference proceedings at Scopus
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artikkel ajakirjas EST
/
artikkel ajakirjas ENG
7
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
8
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
9
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
10
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
11
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
12
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
13
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
14
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
Journal metrics at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
15
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
Journal metrics at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
16
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
17
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
18
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
19
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
20
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
21
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
22
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
23
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
24
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
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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
25
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
Kirjeid leitud 127, kuvan
1 - 25
eelmine
1
2
3
4
5
6
järgmine
võtmesõna
292
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 method
123.
deep learning model
124.
deep learning model quantization
125.
deep learning network
126.
deep reinforcement learning
127.
Deep reinforcing learning SDN
128.
Deep-learning
129.
deep-learning (DL)
130.
dictionary learning
131.
digital learning module
132.
digital remote learning
133.
Dimensions of Learning Organisation Questionnaire (DLOQ)
134.
distance learning
135.
distant learning
136.
distributed independent reinforcement learning
137.
double Q-learning
138.
effective teaching and learning
139.
e-learning
140.
e‐learning
141.
e-Learning course
142.
e-Learning database
143.
e-learning environment
144.
electronic learning
145.
embedded deep learning
146.
Emergency remote learning
147.
ensemble learning
148.
enterprising and entrepreneurial learning
149.
entrepreneurial learning
150.
entrepreneurial teaching and learning
151.
ESG-learning
152.
experiential learning
153.
Federated learning
154.
federated learning (FL)
155.
flexible learning
156.
game based learning
157.
game-based learning
158.
guided in-service learning
159.
hands-on-learning
160.
history learning
161.
horizontal federated learning
162.
hybrid learning
163.
incremental learning
164.
inductive learning
165.
inductive learning algorithm
166.
interactive learning objects
167.
interdisciplinary learning
168.
inverse reinforcement learning
169.
investor learning
170.
iterative learning
171.
Kolb’s experiential learning cycle
172.
language learning
173.
Learner-centered learning environment
174.
learning
175.
learning (artificial intelligence)
176.
learning activities
177.
learning adaptation in autonomous vehicles
178.
learning algorithm
179.
learning analysis
180.
learning analytics
181.
learning and experimentation
182.
learning and health outcomes
183.
learning and memory
184.
learning business school
185.
learning by teaching
186.
learning concept
187.
learning design
188.
learning difficulties
189.
Learning environment
190.
learning experience
191.
learning infrastructures
192.
Learning Lab
193.
learning management
194.
learning management system
195.
learning management systems
196.
learning methodology
197.
learning metrics
198.
learning models
199.
learning motivation
200.
learning objectives
201.
learning objects
202.
learning organization
203.
learning orientation
204.
learning outcomes
205.
learning process
206.
learning processes
207.
learning rate
208.
learning rate dependence on ownership form
209.
learning rate of organization
210.
learning region
211.
learning situation
212.
learning software agents
213.
learning styles
214.
learning systems
215.
learning technologies
216.
learning theories
217.
learning through the questionnaires
218.
learning university
219.
learning-to-rank
220.
lifelong learning
221.
mathematics students learning habits
222.
Meaningful learning
223.
measuring learning
224.
mobile learning
225.
model learning
226.
Multi-agent reinforcement learning
227.
mutual learning
228.
new learning models
229.
node embedding learning
230.
NREN e-learning
231.
on-device transfer learning
232.
online learning
233.
ontologies for learning systems
234.
ontology learning
235.
Open Learning Resources (OLR)
236.
organisational learning
237.
organizational learning
238.
organizational learning measurement instruments
239.
organizational learning rate dependence on management
240.
organizational learning rate measurement
241.
outcome oriented learning
242.
peer‐to‐peer learning group
243.
personalised learning
244.
policy learning
245.
problem-based learning
246.
Problem-based learning (PBL)
247.
project learning
248.
project-based learning
249.
Q-learning
250.
Q-learning algorithm
251.
query learning
252.
regional learning
253.
reinforcement learning
254.
Reinforcement Learning (RL)
255.
relative learning performance
256.
Remote learning
257.
research-oriented learning
258.
reusable learning objects
259.
scholarship of teaching and learning
260.
self learning software
261.
self learning system
262.
self-learning
263.
self-regulated learning
264.
semi-supervised learning
265.
smart learning
266.
smart learning environment
267.
social learning
268.
stochastic learning theory
269.
supervised learning
270.
supervised learning data
271.
zero-shot learning
272.
task based learning
273.
team learning
274.
Technological learning
275.
technology-enhanced learning
276.
the dimensions of the learning organisation
277.
the dimensions of the learning organization questionnaire (DLOQ)
278.
tools for interactive learning and teaching
279.
trans-disciplinary social-learning
280.
transfer learning
281.
true online reinforcement learning
282.
ubiquitous learning
283.
unsupervised learning
284.
urban learning center
285.
value of learning
286.
web and computerbased learning
287.
Web and computer-based learning
288.
virtual collaborative learning environment (VCLE)
289.
virtual learning environment
290.
virtual learning factory
291.
work-based learning
292.
workplace learning
autor
1
1.
ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
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