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101
book article EST
/
book article ENG
Performance of a distributed apriori algorithm using the serverless functions of the Apollo framework
Shahin, Mahtab
;
Shah, Syed Attique
;
Sharma, Rahul
;
Ghasempouri, Tara
;
Poveda, Juan Aznar
;
Fahringer, Thomas
;
Draheim, Dirk
Machine Learning Methods in Systems : proceedings of 13th Computer Science On-line Conference 2024
2024
/
12 p
https://link.springer.com/book/9783031705946
https://doi.org/10.1007/978-3-031-70595-3_37
Conference proceedings at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
Related publications
1
Efficient and effective association rule mining on big data and cloud technology : a multifaceted analysis = Tõhus ja efektiivne assotsiatsioonireeglite kaevandamine suurandmetel ja pilvetehnoloogial : mitmekülgne analüüs
102
book article EST
/
book article ENG
Predicting first-year computer science students drop-out with machine learning methods: A case study
Maksimova, Natalja
;
Pentel, Avar
;
Dunajeva, Olga
Educating Engineers for Future Industrial Revolutions : Proceedings of the 23rd International Conference on Interactive Collaborative Learning (ICL2020). Volume 2
2021
/
p. 719-726
https://doi.org/10.1007/978-3-030-68201-9_70
Conference proceedings at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
103
book article
Predicting students final test results based on previous grades and demographics
Pentel, Avar
;
Kaiva, Lisanne-Liis
The 11th International Conference on Information, Intelligence, Systems and Applications : IISA 2020, 15-17 July 2020, University of Piraeus, Greece
2020
/
p. 377-382
https://doi.org/10.1109/IISA50023.2020.9284401
book article
104
journal article EST
/
journal article ENG
Predictive analytics beyond time series : predicting series of events extracted from time series data
Mishra, Sambeet
;
Bordin, Chiara
;
Taharaguchi, Kota
;
Purkayastha, Adri
Wind Energy
2022
/
p. 1596-1609
https://doi.org/10.1002/we.2760
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
105
book article
Preliminary analysis of global parameters of induction machine for fault prediction in rotor bars
Kudelina, Karolina
;
Raja, Hadi Ashraf
;
Autsou, Siarhei
;
Asad, Bilal
;
Vaimann, Toomas
;
Rassõlkin, Anton
;
Kallaste, Ants
2022 IEEE 20th International Power Electronics and Motion Control Conference (PEMC) : Brasov, Romania, 25-28 Sept. 2022 : proceedings
2022
/
p. 243-248 : ill
https://doi.org/10.1109/PEMC51159.2022.9962922
book article
106
book article
Real-time gait anomaly detection using SVM time series classification
Rostovski, Jakob
;
Krivošei, Andrei
;
Kuusik, Alar
;
Alam, Muhammad Mahtab
;
Ahmadov, Ulvi
2023 International Wireless Communications and Mobile Computing (IWCMC)
2023
/
p. 1389-1394
https://doi.org/10.1109/IWCMC58020.2023.10182666
book article
Related publications
1
Development of methods for real-time in-step anomaly detection in gait analysis = Reaalajaliste meetodite arendus sammusiseste kõrvalkallete tuvastamiseks kõnnianalüüsis
107
book article
Residential load forecasting for flexibility prediction using machine learning-based regression model
Ahmadiahangar, Roya
;
Häring, Tobias
;
Rosin, Argo
;
Korõtko, Tarmo
;
Martins, Joao
2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
2019
/
4 p. : ill
https://doi.org/10.1109/EEEIC.2019.8783634
book article
108
book article
Residential load forecasting using recurrent neural networks
Shabbir, Noman
;
Ahmadiahangar, Roya
;
Raja, Hadi Ashraf
;
Kütt, Lauri
;
Rosin, Argo
2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) : proceedings
2020
/
p. 478-481 : ill
https://doi.org/10.1109/CPE-POWERENG48600.2020.9161565
book article
109
journal article
A review on the application of machine learning in gamma spectroscopy : challenges and opportunities
Zehtabvar, Mehrnaz
;
Taghandiki, Kazem
;
Madani, Nahid
;
Sardari, Dariush
;
Bashiri, Bashir
Spectroscopy journal
2024
/
p. 123-144
https://doi.org/10.3390/spectroscj2030008
journal article
110
book article EST
/
book article ENG
Scalable and imbalance-resistant machine learning models for anti-money laundering : a two-layered approach
Tertychnyi, Pavlo
;
Slobozhan, Ivan
;
Ollikainen, Madis
;
Dumas, Marlon
Enterprise Applications, Markets and Services in the Finance Industry : 10th International Workshop, FinanceCom 2020, Helsinki, Finland, August 18, 2020, Revised Selected Papers
2020
/
p. 43-58
https://doi.org/10.1007/978-3-030-64466-6_3
Conference Proceedings at Scopus
Article at Scopus
book article EST
/
book article ENG
111
journal article EST
/
journal article ENG
Sea surface circulation in the Baltic Sea : decomposed components and pattern recognition
Barzandeh, Amirhossein
;
Maljutenko, Ilja
;
Rikka, Sander
;
Lagemaa, Priidik
;
Männik, Aarne
;
Uiboupin, Rivo
;
Raudsepp, Urmas
Scientific reports
2024
/
art. 18649
https://doi.org/10.1038/s41598-024-69463-8
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
112
journal article
Sensitivity estimation for dark matter subhalos in synthetic Gaia DR2 using deep learning
Bazarov, A.
;
Benito Castano, Maria
;
Hütsi, Gert
;
Kipper, Rain
;
Pata, Joosep
;
Põder, Sven
Astronomy and Computing
2022
/
art. 100667, 10 p. : ill
https://doi.org/10.1016/j.ascom.2022.100667
journal article
Related publications
1
Probing the Milky Way’s dark matter halo in the Gaia and machine learning era = Linnutee galaktika tumeaine halo uurimine Gaia ja masinõppe ajastul
113
journal article EST
/
journal article ENG
Sentiment analysis for hotel reviews : a systematic literature review
Ameur, Asma
;
Hamdi, Sana
;
Ben Yahia, Sadok
ACM Computing Survey
2023
/
art. 51
https://doi.org/10.1145/3605152
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
114
journal article EST
/
journal article ENG
Short-term wind energy forecasting using deep learning-based predictive analytics
Shabbir, Noman
;
Kütt, Lauri
;
Jawad, Muhammad
;
Husev, Oleksandr
CMC-Computers, Materials & Continua
2022
/
p. 1017-1033
https://doi.org/10.32604/cmc.2022.024576
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Related publications
1
Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteem
115
book article
Signal processing and machine learning techniques for predictive maintenance of rotor bars in induction machine
Kudelina, Karolina
;
Raja, Hadi Ashraf
;
Rjabtšikov, Viktor
;
Naseer, Muhammad Usman
;
Vaimann, Toomas
;
Kallaste, Ants
2023 International Conference on Electrical Drives and Power Electronics (EDPE)
2023
/
7 p. : ill
https://doi.org/10.1109/EDPE58625.2023.10274030
book article
Related publications
1
Artificial intelligence driven approaches for fault prognostics of electrical machines using vibration spectrum analysis = Tehisintellektil põhinevad lähenemisviisid elektrimasinate rikete prognoosimiseks vibratsioonispektri analüüsi abil
116
journal article EST
/
journal article ENG
Signal spectrum-based machine learning approach for fault prediction and maintenance of electrical machines
Raja, Hadi Ashraf
;
Kudelina, Karolina
;
Asad, Bilal
;
Vaimann, Toomas
;
Kallaste, Ants
;
Rassõlkin, Anton
;
Khang, Huynh Van
Energies
2022
/
art. 9507
https://doi.org/10.3390/en15249507
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Related publications
1
IoT based tools and methods for electrical machine diagnostics = Asjade interneti põhised tööriistad ja meetodid elektrimasinate diagnostikaks
117
book article EST
/
book article ENG
Small languages and big models : using ML to generate Norwegian language social media content for training purposes
Aasen, Ole Joachim Arnesen
;
Lugo, Ricardo Gregorio
;
Knox, Benjamin James
Augmented Cognition : 18th International Conference, AC 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29–July 4, 2024, Proceedings, Part II
2024
/
p. 103-121
https://doi.org/10.1007/978-3-031-61572-6_8
Conference proceedings at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
118
book article
Smart elevator with unsupervised learning for visitor profiling and personalised destination prediction
Leier, Mairo
;
Riid, Andri
;
Alumäe, Tanel
;
Pihlak, Rene
;
Udal, Andres
;
Heinsar, Risto
;
Vainküla, Sven
2021 IEEE International Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) : Virtual Conference, 14-22 May 2021 : proceedings
2021
/
p. 9-16
https://doi.org/10.1109/CogSIMA51574.2021.9475921
book article
119
journal article
Smartphone-based microkinematic feature analysis for mental fatigue detection using machine learning
Valla, Elli
;
Väli, Lilian
;
Nõmm, Sven
;
Toomela, Aaro
Cognition, Technology & Work
2025
/
32 p. : ill
https://doi.org/10.21203/rs.3.rs-6601096/v1
journal article
Related publications
1
Leveraging artificial intelligence for microkinematic analysis of fine motor skills in Parkinson’s disease detection = Tehisintellekti rakendamine peenmotoorika mikrokinemaatilises analüüsis Parkinsoni tõve tuvastamiseks
120
book article
Social, legal, and technical considerations for machine learning and artificial intelligence systems in government
Dreyling III, Richard Michael
;
Jackson, Eric Blake
;
Tammet, Tanel
;
Labanava, Alena
;
Pappel, Ingrid
Proceedings of the 23rd International Conference on Enterprise Information Systems ; vol. 1
2021
/
p. 701-708
https://doi.org/10.5220/0010452907010708
book article
Related publications
1
Digital transformation : artificial intelligence enablement in public services = Digisiire ja tehisintellekti rakenduseeldused avalikes teenustes
121
book article EST
/
book article ENG
Special session: in-field ML-assisted intermittent fault localization and management in RISC-V SoCs
Selg, Hardi
;
Shibin, Konstantin
;
Tsertov, Anton
;
Jenihhin, Maksim
;
Ellervee, Peeter
;
Raik, Jaan
2024 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)
2024
https://doi.org/10.1109/DFT63277.2024.10753541
Conference proceedings at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
122
book article
Status Detector for Fuzzing-Based Vulnerability Mining of IEC 61850 Protocol
Visky, Gabor
;
Lavrenovs, Arturs
;
Maennel, Olaf Manuel
Proceeding of the 20th European Conference on Cyber Warfare and Security
2021
/
p. 454-461
https://doi.org/10.34190/EWS.21.007
book article
123
journal article EST
/
journal article ENG
Study of bearing currents in induction machine : diagnostic possibilities, fault detection, and prediction
Kudelina, Karolina
;
Raja, Hadi Ashraf
;
Naseer, Muhammad Usman
;
Autsou, Siarhei
;
Asad, Bilal
;
Vaimann, Toomas
;
Kallaste, Ants
Electrical engineering
2024
/
14 p. : ill
https://doi.org/10.1007/s00202-024-02411-x
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Related publications
1
Artificial intelligence driven approaches for fault prognostics of electrical machines using vibration spectrum analysis = Tehisintellektil põhinevad lähenemisviisid elektrimasinate rikete prognoosimiseks vibratsioonispektri analüüsi abil
124
journal article
Swarm-intelligence algorithms for mining numerical association rules : an exhaustive multi-aspect analysis of performance assessment data
Kaushik, Minakshi
;
Kõiva, Pilleriin
;
Sharma, Rahul
;
Fister, Iztok jr.
;
Draheim, Dirk
SSRN
2023
/
37 p
https://ssrn.com/abstract=4399331
https://doi.org/10.2139/ssrn.4399331
journal article
Related publications
1
Generalized association rule mining – dimensional unsupervised learning = Üldistatud assotsiatsioonireeglite kaevandamine – dimensiooniline juhendamata õpe
125
book article EST
/
book article ENG
SVM Time series classification of selected gait abnormalities
Rostovski, Jakob
;
Krivošei, Andrei
;
Kuusik, Alar
;
Ahmadov, Ulvi
BODYNETS 2021: Body Area Networks. Smart IoT and Big Data for Intelligent Health Management : 16th EAI International Conference, BODYNETS 2021, Virtual Event, October 25-26, 2021 : proceedings
2022
/
15 p
https://doi.org/10.1007/978-3-030-95593-9_16
Conference proceedings at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
Related publications
1
Development of methods for real-time in-step anomaly detection in gait analysis = Reaalajaliste meetodite arendus sammusiseste kõrvalkallete tuvastamiseks kõnnianalüüsis
Number of records 146, displaying
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1.
adversarial machine learning
2.
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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.
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10.
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11.
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12.
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machine learning for environmental applications
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17.
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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.
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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 communications (mMTC)
70.
massive Machine-Type connections (mMTC)
71.
multi-class support vector machine (m-SVM)
72.
multi-machine
73.
multi-machine industrial power plant
74.
multi-machine power system
75.
multi-stream interaction machine
76.
neural machine translation
77.
outer-rotor machine
78.
permanent magnet (PM) synchronous machine
79.
permanent magnet flux-switching machine
80.
permanent magnet machine
81.
permanent magnet synchronous machine (PMSM)
82.
reluctance machine
83.
sewing machine operator
84.
spoke-type PM machine
85.
state machine
86.
support vector machine
87.
surface permanent magnet machine (SPM)
88.
switched reluctance machine
89.
switched reluctance machine (SRM)
90.
synchronous machine
91.
TBM (tunnel boring machine)
92.
totally enclosed fan-cooled machine
93.
universal friction machine
94.
virtual synchronous machine
95.
active blended learning
96.
active learning
97.
active learning and engagement
98.
active learning methods
99.
adaptive learning
100.
algorithm controlling the learning process
101.
appetitive associative learning
102.
approach to learning
103.
Attitude to learning
104.
authoritarian learning
105.
automata learning
106.
bayesian learning
107.
BIM-enabled learning
108.
BIM-enabled learning environment
109.
biophilic learning environments
110.
blended learning
111.
business school as learning organization
112.
business school learning organization questionnaire (BSLOQ)
113.
business school learning rate dependence on GPD
114.
business school learning rate measurement instrument
115.
challenge-based learning
116.
Challenge-Based Learning (CBL)
117.
client learning
118.
Collaborative e-learning
119.
collaborative learning
120.
competence based learning
121.
competence learning
122.
competence-based learning
123.
competency based learning
124.
Component organised learning (COL)
125.
computer assisted language learning
126.
computer based learning
127.
computer-assisted language learning (CALL)
128.
contrastive learning
129.
cooperative reinforcement learning
130.
coping with online teaching and learning
131.
customer learning
132.
deep learning
133.
deep learning (DL)
134.
deep learning classifier
135.
deep learning method
136.
deep learning methods
137.
deep learning model
138.
deep learning model quantization
139.
deep learning network
140.
deep reinforcement learning
141.
Deep reinforcing learning SDN
142.
Deep-learning
143.
deep-learning (DL)
144.
dictionary learning
145.
digital learning module
146.
digital remote learning
147.
Dimensions of Learning Organisation Questionnaire (DLOQ)
148.
distance learning
149.
distant learning
150.
distributed independent reinforcement learning
151.
double Q-learning
152.
effective teaching and learning
153.
e-learning
154.
e‐learning
155.
e-Learning course
156.
e-Learning database
157.
e-learning environment
158.
electronic learning
159.
embedded deep learning
160.
Emergency remote learning
161.
ensemble learning
162.
enterprising and entrepreneurial learning
163.
entrepreneurial learning
164.
entrepreneurial teaching and learning
165.
ESG-learning
166.
experiential learning
167.
Federated learning
168.
federated learning (FL)
169.
flexible learning
170.
game based learning
171.
game-based learning
172.
guided in-service learning
173.
hands-on-learning
174.
history learning
175.
horizontal federated learning
176.
human-centred learning
177.
hybrid learning
178.
Immersive Learning
179.
incremental learning
180.
inductive learning
181.
inductive learning algorithm
182.
interactive learning objects
183.
interdisciplinary learning
184.
inverse reinforcement learning
185.
investor learning
186.
iterative learning
187.
Kolb’s experiential learning cycle
188.
language learning
189.
Learner-centered learning environment
190.
learning
191.
learning (artificial intelligence)
192.
learning activities
193.
learning adaptation in autonomous vehicles
194.
learning algorithm
195.
learning analysis
196.
learning analytics
197.
learning and experimentation
198.
learning and health outcomes
199.
learning and memory
200.
learning business school
201.
learning by teaching
202.
learning concept
203.
learning content
204.
learning design
205.
learning difficulties
206.
Learning environment
207.
learning experience
208.
learning factory
209.
Learning from Demonstration
210.
learning infrastructures
211.
Learning Lab
212.
learning management
213.
learning management system
214.
learning management systems
215.
learning methodology
216.
learning metrics
217.
learning models
218.
learning motivation
219.
learning objectives
220.
learning objects
221.
learning organization
222.
learning orientation
223.
learning outcomes
224.
learning process
225.
learning processes
226.
learning rate
227.
learning rate dependence on ownership form
228.
learning rate of organization
229.
learning region
230.
learning situation
231.
learning software agents
232.
learning styles
233.
learning systems
234.
learning technologies
235.
learning theories
236.
learning through the questionnaires
237.
learning university
238.
learning-to-rank
239.
lifelong learning
240.
long-short term learning
241.
mathematics students learning habits
242.
Meaningful learning
243.
measuring learning
244.
mobile learning
245.
model learning
246.
Multi-agent reinforcement learning
247.
multi-task learning
248.
mutual learning
249.
new learning models
250.
node embedding learning
251.
NREN e-learning
252.
on-device transfer learning
253.
online learning
254.
ontologies for learning systems
255.
ontology learning
256.
Open Learning Resources (OLR)
257.
organisational learning
258.
organizational learning
259.
organizational learning measurement instruments
260.
organizational learning rate dependence on management
261.
organizational learning rate measurement
262.
outcome oriented learning
263.
peer‐to‐peer learning group
264.
personalised learning
265.
Personalized learning
266.
policy learning
267.
problem-based learning
268.
Problem-based learning (PBL)
269.
project learning
270.
project-based learning
271.
Q-learning
272.
Q-learning algorithm
273.
query learning
274.
regional learning
275.
reinforcement learning
276.
Reinforcement Learning (RL)
277.
relative learning performance
278.
Remote learning
279.
research-oriented learning
280.
reusable learning objects
281.
scholarship of teaching and learning
282.
self learning software
283.
self learning system
284.
self-learning
285.
self-regulated learning
286.
semi-supervised learning
287.
sequence of learning activities
288.
SIS problem, learning with errors
289.
smart learning
290.
smart learning environment
291.
social learning
292.
socio-emotional learning
293.
stochastic learning theory
294.
student centred learning
295.
supervised contrastive learning
296.
supervised learning
297.
supervised learning data
298.
synchronous hybrid learning
299.
zero-shot learning
300.
task based learning
301.
team learning
302.
Technological learning
303.
technology-enhanced learning
304.
the dimensions of the learning organisation
305.
the dimensions of the learning organization questionnaire (DLOQ)
306.
tools for interactive learning and teaching
307.
trans-disciplinary social-learning
308.
transfer learning
309.
true online reinforcement learning
310.
ubiquitous learning
311.
unsupervised learning
312.
urban learning center
313.
value of learning
314.
web and computerbased learning
315.
Web and computer-based learning
316.
virtual collaborative learning environment (VCLE)
317.
virtual learning environment
318.
virtual learning factory
319.
work-based learning
320.
workplace learning
author
1
1.
ELIXIR Machine Learning Focus Group
subject term
1
1.
UNDP Urban Learning Center
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