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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
Journal metrics at Scopus
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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
/
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
Conference Proceedings at WOS
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
290
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.
organisational learning
235.
organizational learning
236.
organizational learning measurement instruments
237.
organizational learning rate dependence on management
238.
organizational learning rate measurement
239.
outcome oriented learning
240.
peer‐to‐peer learning group
241.
personalised learning
242.
policy learning
243.
problem-based learning
244.
Problem-based learning (PBL)
245.
project learning
246.
project-based learning
247.
Q-learning
248.
Q-learning algorithm
249.
query learning
250.
regional learning
251.
reinforcement learning
252.
Reinforcement Learning (RL)
253.
relative learning performance
254.
Remote learning
255.
research-oriented learning
256.
reusable learning objects
257.
scholarship of teaching and learning
258.
self learning software
259.
self learning system
260.
self-learning
261.
self-regulated learning
262.
semi-supervised learning
263.
smart learning
264.
smart learning environment
265.
social learning
266.
stochastic learning theory
267.
supervised learning
268.
supervised learning data
269.
zero-shot learning
270.
task based learning
271.
team learning
272.
Technological learning
273.
technology-enhanced learning
274.
the dimensions of the learning organisation
275.
the dimensions of the learning organization questionnaire (DLOQ)
276.
tools for interactive learning and teaching
277.
trans-disciplinary social-learning
278.
transfer learning
279.
true online reinforcement learning
280.
ubiquitous learning
281.
unsupervised learning
282.
urban learning center
283.
value of learning
284.
web and computerbased learning
285.
Web and computer-based learning
286.
virtual collaborative learning environment (VCLE)
287.
virtual learning environment
288.
virtual learning factory
289.
work-based learning
290.
workplace learning
autor
1
1.
ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
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