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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 EST
/
artikkel ajakirjas ENG
Anomaly detection, classification and identification Tool (ADCIT)[Formula presented]
Asefi, Sajjad
;
Mitrovic, Mile
;
Ćetenović, 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
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artikkel ajakirjas ENG
3
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
4
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
5
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
6
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
7
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
8
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
9
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
10
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
11
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
12
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
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artikkel ajakirjas EST
/
artikkel ajakirjas ENG
13
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
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artikkel ajakirjas EST
/
artikkel ajakirjas ENG
14
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
15
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
16
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
17
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
18
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
19
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
20
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
21
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
22
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
23
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
Conference proceedings at Scopus
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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
24
artikkel ajakirjas EST
/
artikkel ajakirjas 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
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artikkel ajakirjas EST
/
artikkel ajakirjas ENG
25
artikkel ajakirjas EST
/
artikkel ajakirjas 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
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Kirjeid leitud 113, kuvan
1 - 25
eelmine
1
2
3
4
5
järgmine
võtmesõna
279
1.
adversarial machine learning
2.
adversarial machine-learning
3.
automatic machine learning (autoML)
4.
False data injection attack; Machine learning; Matlab; Python; State estimation; Sudden load change
5.
graph machine learning
6.
interpretable machine learning
7.
machine learning
8.
machine learning (ML)
9.
machine learning algorithms
10.
machine learning approach
11.
Machine Learning Explainable model
12.
machine learning for environmental applications
13.
machine learning models
14.
machine learning systems
15.
machine-learning
16.
machine-learning predictive model
17.
Parkinson’s disease machine learning
18.
robust machine learning
19.
small data machine learning
20.
supervised machine learning
21.
unsupervised machine learning
22.
machine-to-machine communications
23.
AC machine
24.
Algorithmic State Machine - ASM
25.
axial flux machine
26.
axial flux switched reluctance machine
27.
bearingless machine
28.
brushless machine
29.
coordinate measurring machine
30.
electric machine
31.
electric machine analysis computing
32.
electric machine control
33.
electrical machine
34.
electrical machine cooling
35.
electrical machine design
36.
finite state machine
37.
Finite State Machine - FSM
38.
hierarchical finite state machine
39.
human machine interaction
40.
human machine systems
41.
human-machine interaction
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 communications (mMTC)
63.
massive Machine-Type connections (mMTC)
64.
multi-class support vector machine (m-SVM)
65.
multi-machine
66.
multi-machine industrial power plant
67.
multi-machine power system
68.
multi-stream interaction machine
69.
outer-rotor machine
70.
permanent magnet (PM) synchronous machine
71.
permanent magnet flux-switching machine
72.
permanent magnet machine
73.
permanent magnet synchronous machine (PMSM)
74.
sewing machine operator
75.
state machine
76.
support vector machine
77.
surface permanent magnet machine (SPM)
78.
switched reluctance machine
79.
switched reluctance machine (SRM)
80.
synchronous machine
81.
TBM (tunnel boring machine)
82.
totally enclosed fan-cooled machine
83.
universal friction machine
84.
virtual synchronous machine
85.
active blended learning
86.
active learning
87.
active learning methods
88.
algorithm controlling the learning process
89.
appetitive associative learning
90.
approach to learning
91.
Attitude to learning
92.
authoritarian learning
93.
automata learning
94.
BIM-enabled learning
95.
BIM-enabled learning environment
96.
blended learning
97.
business school as learning organization
98.
business school learning organization questionnaire (BSLOQ)
99.
business school learning rate dependence on GPD
100.
business school learning rate measurement instrument
101.
client learning
102.
Collaborative e-learning
103.
collaborative learning
104.
competence based learning
105.
competence learning
106.
competence-based learning
107.
competency based learning
108.
Component organised learning (COL)
109.
computer assisted language learning
110.
computer based learning
111.
computer-assisted language learning (CALL)
112.
cooperative reinforcement learning
113.
coping with online teaching and learning
114.
customer learning
115.
deep learning
116.
deep learning (DL)
117.
deep learning classifier
118.
deep learning model
119.
deep learning model quantization
120.
deep learning network
121.
deep reinforcement learning
122.
Deep reinforcing learning SDN
123.
Deep-learning
124.
deep-learning (DL)
125.
dictionary learning
126.
digital learning module
127.
Dimensions of Learning Organisation Questionnaire (DLOQ)
128.
distance learning
129.
distant learning
130.
distributed independent reinforcement learning
131.
double Q-learning
132.
effective teaching and learning
133.
e-learning
134.
e‐learning
135.
e-Learning course
136.
e-Learning database
137.
e-learning environment
138.
electronic learning
139.
embedded deep learning
140.
Emergency remote learning
141.
ensemble learning
142.
enterprising and entrepreneurial learning
143.
entrepreneurial learning
144.
entrepreneurial teaching and learning
145.
experiential learning
146.
Federated learning
147.
federated learning (FL)
148.
flexible learning
149.
game based learning
150.
game-based learning
151.
guided in-service learning
152.
hands-on-learning
153.
history learning
154.
hybrid learning
155.
incremental learning
156.
inductive learning
157.
inductive learning algorithm
158.
interactive learning objects
159.
interdisciplinary learning
160.
inverse reinforcement learning
161.
investor learning
162.
iterative learning
163.
Learner-centered learning environment
164.
learning
165.
learning (artificial intelligence)
166.
learning activities
167.
learning adaptation in autonomous vehicles
168.
learning algorithm
169.
learning analysis
170.
learning analytics
171.
learning and experimentation
172.
learning and health outcomes
173.
learning and memory
174.
learning business school
175.
learning by teaching
176.
learning concept
177.
learning design
178.
learning difficulties
179.
Learning environment
180.
learning experience
181.
learning infrastructures
182.
Learning Lab
183.
learning management
184.
learning management system
185.
learning management systems
186.
learning methodology
187.
learning metrics
188.
learning models
189.
learning motivation
190.
learning objectives
191.
learning objects
192.
learning organization
193.
learning orientation
194.
learning outcomes
195.
learning process
196.
learning processes
197.
learning rate
198.
learning rate dependence on ownership form
199.
learning rate of organization
200.
learning region
201.
learning situation
202.
learning software agents
203.
learning styles
204.
learning systems
205.
learning technologies
206.
learning theories
207.
learning through the questionnaires
208.
learning university
209.
learning-to-rank
210.
lifelong learning
211.
mathematics students learning habits
212.
Meaningful learning
213.
measuring learning
214.
mobile learning
215.
model learning
216.
Multi-agent reinforcement learning
217.
mutual learning
218.
new learning models
219.
node embedding learning
220.
NREN e-learning
221.
on-device transfer learning
222.
online learning
223.
ontologies for learning systems
224.
ontology learning
225.
organisational learning
226.
organizational learning
227.
organizational learning measurement instruments
228.
organizational learning rate dependence on management
229.
organizational learning rate measurement
230.
outcome oriented learning
231.
peer‐to‐peer learning group
232.
personalised learning
233.
policy learning
234.
problem-based learning
235.
Problem-based learning (PBL)
236.
project learning
237.
project-based learning
238.
Q-learning
239.
Q-learning algorithm
240.
query learning
241.
regional learning
242.
reinforcement learning
243.
Reinforcement Learning (RL)
244.
relative learning performance
245.
Remote learning
246.
research-oriented learning
247.
reusable learning objects
248.
scholarship of teaching and learning
249.
self learning software
250.
self learning system
251.
self-learning
252.
self-regulated learning
253.
semi-supervised learning
254.
smart learning
255.
smart learning environment
256.
social learning
257.
stochastic learning theory
258.
supervised learning
259.
supervised learning data
260.
task based learning
261.
team learning
262.
Technological learning
263.
technology-enhanced learning
264.
the dimensions of the learning organisation
265.
the dimensions of the learning organization questionnaire (DLOQ)
266.
tools for interactive learning and teaching
267.
trans-disciplinary social-learning
268.
transfer learning
269.
true online reinforcement learning
270.
ubiquitous learning
271.
unsupervised learning
272.
urban learning center
273.
value of learning
274.
web and computerbased learning
275.
Web and computer-based learning
276.
virtual learning environment
277.
virtual learning factory
278.
work-based learning
279.
workplace learning
autor
1
1.
ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
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