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machine learning (võtmesõna)
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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
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
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artikkel ajakirjas EST
/
artikkel ajakirjas ENG
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
Article at Scopus
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
Article at Scopus
Article at WOS
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
Journal metrics at Scopus
Article at Scopus
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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Article at WOS
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 kogumikus EST
/
artikkel kogumikus ENG
Autonomous realization of safety- and time-critical embedded artificial intelligence
Lindén, Joakim
;
Ermedahl, Andreas
;
Salomonsson, Hans
;
Daneshtalab, Masoud
;
Forsberg, Björn
;
Carbone, Paris
2024 Design, Automation & Test in Europe Conference & Exhibition (DATE) : proceedings : Valencia, Spain, 25-27 March 2024
2024
/
4 p.
https://doi.org//10.23919/DATE58400.2024.10546824
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artikkel kogumikus EST
/
artikkel kogumikus ENG
16
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
A Bayesian optimization approach for calibrating large-scale activity-based transport models
Agriesti, Serio Angelo Maria
;
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
17
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
Journal metrics at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
18
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
19
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Comparing domain expert and machine learning data enrichment of building registry
Torim, Ants
;
Iliste, Elisa
;
Pikas, Ergo
;
Liiv, Innar
;
Robal, Tarmo
;
Kalamees, Targo
Buildings
2025
/
art. 1798
https://doi.org/10.3390/buildings15111798
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
20
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
21
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
22
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
23
artikkel kogumikus
Comprehensive Feature Selection for Machine Learning-Based Intrusion Detection in Healthcare IoMT Networks
Rehman, Muaan Ur
;
Kalakoti, Rajesh
;
Bahsi, Hayretdin
Proceedings of the 11th International Conference on Information Systems Security and Privacy (ICISSP 2025). Vol. 2
2025
/
p. 248-259 : ill
https://www.scitepress.org/Papers/2025/133136/133136.pdf
https://doi.org//10.5220/0013313600003899
artikkel kogumikus
Seotud publikatsioonid
1
Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemid
24
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Continuous measurement of sulfate to optimize mine water desalination with real-time augmented in-situ raman spectroscopy
Grafe, Bruno
;
Johnson, Philip
;
Srivastava, Shashank
;
Stolzenberg, Sebastian
;
Mantescu, Liviu
;
Tugaoen, Heather
Desalination
2026
/
art. 119465
https://doi.org/10.1016/j.desal.2025.119465
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
25
artikkel ajakirjas
Current AI applications by Estonian tax authorities and use case scenarios
Künnapas, Kaido
;
Maslionkina, Palina
;
Hinno, Risto
;
Liberts, Raivis
TalTech Journal of European Studies
2025
/
p. 179-208
https://www.ester.ee/record=b5290032*est
https://doi.org/10.2478/bjes-2025-0010
artikkel ajakirjas
Kirjeid leitud 147, kuvan
1 - 25
eelmine
1
2
3
4
5
6
järgmine
võtmesõna
325
1.
adversarial machine learning
2.
adversarial machine-learning
3.
automatic machine learning (autoML)
4.
data analytics and machine learning
5.
explainable machine learning
6.
graph machine learning
7.
interpretable machine learning
8.
machine learning
9.
machine learning (ML)
10.
machine learning algorithms
11.
machine learning approach
12.
Machine Learning Explainable model
13.
machine learning for environmental applications
14.
machine learning models
15.
machine learning systems
16.
machine-learning
17.
machine-learning predictive model
18.
Parkinson’s disease machine learning
19.
robust machine learning
20.
small data machine learning
21.
supervised machine learning
22.
unsupervised machine learning
23.
machine-to-machine communications
24.
AC machine
25.
Algorithmic State Machine - ASM
26.
axial flux machine
27.
axial flux switched reluctance machine
28.
bearingless machine
29.
brushless machine
30.
coordinate measurring machine
31.
electric machine
32.
electric machine analysis computing
33.
electric machine control
34.
electrical machine
35.
electrical machine cooling
36.
electrical machine design
37.
finite state machine
38.
Finite State Machine - FSM
39.
hierarchical finite state machine
40.
high-frequency machine modeling
41.
human machine interaction
42.
human machine systems
43.
human-machine interaction
44.
human-machine interactions
45.
human-machine interface
46.
human-machine system
47.
induction machine
48.
interior permanent magnet machine
49.
interior permanent-magnet synchronous machine (IPMSM)
50.
logic machine
51.
low-resource machine translation
52.
machine bearings
53.
machine condition monitoring
54.
machine control
55.
machine design
56.
machine elements
57.
machine error
58.
machine housing
59.
machine tools
60.
machine translation
61.
machine vector control
62.
machine windings
63.
machine vision
64.
machine-checked proofs
65.
machine-translation
66.
man-machine systems
67.
massive machine type communication (mMTC)
68.
massive machine-type communication (mMTC)
69.
massive machine-type communication devices (mMTC)
70.
massive machine-type communications (mMTC)
71.
massive Machine-Type connections (mMTC)
72.
multi-class support vector machine (m-SVM)
73.
multi-machine
74.
multi-machine industrial power plant
75.
multi-machine power system
76.
multi-stream interaction machine
77.
neural machine translation
78.
outer-rotor machine
79.
permanent magnet (PM) synchronous machine
80.
permanent magnet flux-switching machine
81.
permanent magnet machine
82.
permanent magnet synchronous machine (PMSM)
83.
reluctance machine
84.
sewing machine operator
85.
spoke-type PM machine
86.
state machine
87.
support vector machine
88.
surface permanent magnet machine (SPM)
89.
switched reluctance machine
90.
switched reluctance machine (SRM)
91.
synchronous machine
92.
TBM (tunnel boring machine)
93.
totally enclosed fan-cooled machine
94.
universal friction machine
95.
virtual synchronous machine
96.
active blended learning
97.
active learning
98.
active learning and engagement
99.
active learning methods
100.
adaptive learning
101.
algorithm controlling the learning process
102.
appetitive associative learning
103.
approach to learning
104.
Attitude to learning
105.
authoritarian learning
106.
automata learning
107.
bayesian learning
108.
BIM-enabled learning
109.
BIM-enabled learning environment
110.
biophilic learning environments
111.
blended learning
112.
business school as learning organization
113.
business school learning organization questionnaire (BSLOQ)
114.
business school learning rate dependence on GPD
115.
business school learning rate measurement instrument
116.
challenge-based learning
117.
Challenge-Based Learning (CBL)
118.
city-to-city learning
119.
client learning
120.
Collaborative e-learning
121.
collaborative learning
122.
competence based learning
123.
competence learning
124.
competence-based learning
125.
competency based learning
126.
Component organised learning (COL)
127.
computer assisted language learning
128.
computer based learning
129.
computer-assisted language learning (CALL)
130.
contrastive learning
131.
cooperative reinforcement learning
132.
coping with online teaching and learning
133.
customer learning
134.
deep learning
135.
deep learning (DL)
136.
deep learning classifier
137.
deep learning method
138.
deep learning methods
139.
deep learning model
140.
deep learning model quantization
141.
deep learning network
142.
deep reinforcement learning
143.
Deep reinforcing learning SDN
144.
Deep-learning
145.
deep-learning (DL)
146.
dictionary learning
147.
digital learning module
148.
digital remote learning
149.
Dimensions of Learning Organisation Questionnaire (DLOQ)
150.
distance learning
151.
distant learning
152.
distributed independent reinforcement learning
153.
double Q-learning
154.
effective teaching and learning
155.
e-learning
156.
e‐learning
157.
e-Learning course
158.
e-Learning database
159.
e-learning environment
160.
electronic learning
161.
embedded deep learning
162.
Emergency remote learning
163.
ensemble learning
164.
enterprising and entrepreneurial learning
165.
entrepreneurial learning
166.
entrepreneurial teaching and learning
167.
ESG-learning
168.
experiential learning
169.
Federated learning
170.
federated learning (FL)
171.
flexible learning
172.
game based learning
173.
game-based learning
174.
Gamified learning
175.
guided in-service learning
176.
hands-on-learning
177.
history learning
178.
horizontal federated learning
179.
human-centred learning
180.
hybrid learning
181.
Immersive Learning
182.
incremental learning
183.
inductive learning
184.
inductive learning algorithm
185.
interactive learning objects
186.
interdisciplinary learning
187.
inverse reinforcement learning
188.
investor learning
189.
iterative learning
190.
Kolb’s experiential learning cycle
191.
language learning
192.
Learner-centered learning environment
193.
learning
194.
learning (artificial intelligence)
195.
learning activities
196.
learning adaptation in autonomous vehicles
197.
learning algorithm
198.
learning analysis
199.
learning analytics
200.
learning and experimentation
201.
learning and health outcomes
202.
learning and memory
203.
learning business school
204.
learning by teaching
205.
learning concept
206.
learning content
207.
learning design
208.
learning difficulties
209.
Learning environment
210.
learning experience
211.
learning factory
212.
Learning from Demonstration
213.
learning infrastructures
214.
Learning Lab
215.
learning management
216.
learning management system
217.
learning management systems
218.
learning methodology
219.
learning metrics
220.
learning models
221.
learning motivation
222.
learning objectives
223.
learning objects
224.
learning organization
225.
learning orientation
226.
learning outcomes
227.
learning process
228.
learning processes
229.
learning rate
230.
learning rate dependence on ownership form
231.
learning rate of organization
232.
learning region
233.
learning situation
234.
learning software agents
235.
learning styles
236.
learning systems
237.
learning technologies
238.
learning theories
239.
learning through the questionnaires
240.
learning university
241.
learning-to-rank
242.
lifelong learning
243.
long-short term learning
244.
mathematics students learning habits
245.
Meaningful learning
246.
measuring learning
247.
mobile learning
248.
model learning
249.
Multi-agent reinforcement learning
250.
multi-task learning
251.
mutual learning
252.
new learning models
253.
node embedding learning
254.
NREN e-learning
255.
on-device transfer learning
256.
online learning
257.
ontologies for learning systems
258.
ontology learning
259.
Open Learning Resources (OLR)
260.
organisational learning
261.
organizational learning
262.
organizational learning measurement instruments
263.
organizational learning rate dependence on management
264.
organizational learning rate measurement
265.
outcome oriented learning
266.
peer‐to‐peer learning group
267.
personalised learning
268.
Personalized learning
269.
policy learning
270.
problem-based learning
271.
Problem-based learning (PBL)
272.
project learning
273.
project-based learning
274.
Q-learning
275.
Q-learning algorithm
276.
query learning
277.
regional learning
278.
reinforcement learning
279.
Reinforcement Learning (RL)
280.
relative learning performance
281.
Remote learning
282.
research-oriented learning
283.
reusable learning objects
284.
scholarship of teaching and learning
285.
self learning software
286.
self learning system
287.
self-learning
288.
self-regulated learning
289.
semi-supervised learning
290.
sequence of learning activities
291.
sequence to sequence learning
292.
sequential learning
293.
SIS problem, learning with errors
294.
smart learning
295.
smart learning environment
296.
social learning
297.
socio-emotional learning
298.
stochastic learning theory
299.
student centred learning
300.
supervised contrastive learning
301.
supervised learning
302.
supervised learning data
303.
synchronous hybrid learning
304.
zero-shot learning
305.
task based learning
306.
team learning
307.
Technological learning
308.
technology-enhanced learning
309.
the dimensions of the learning organisation
310.
the dimensions of the learning organization questionnaire (DLOQ)
311.
tools for interactive learning and teaching
312.
trans-disciplinary social-learning
313.
transfer learning
314.
true online reinforcement learning
315.
ubiquitous learning
316.
unsupervised learning
317.
urban learning center
318.
value of learning
319.
web and computerbased learning
320.
Web and computer-based learning
321.
virtual collaborative learning environment (VCLE)
322.
virtual learning environment
323.
virtual learning factory
324.
work-based learning
325.
workplace learning
autor
1
1.
ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
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