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1
journal article EST
/
journal article ENG
An advanced diagnostic approach for broken rotor bar detection and classification in DTC controlled induction motors by leveraging dynamic SHAP interaction feature selection (DSHAP-IFS) GBDT methodology
Khan, Muhammad Amir
;
Asad, Bilal
;
Vaimann, Toomas
;
Kallaste, Ants
Machines
2024
/
art. 495
https://doi.org/10.3390/machines12070495
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
2
book article EST
/
book article ENG
Data-driven approaches based microwave filter tuning - a review
Sekhri, Even
;
Tamre, Mart
;
Kapoor, Rajiv
Advances in Artificial-Business Analytics and Quantum Machine Learning : Select Proceedings of the 3rd International Conference, Com-IT-Con 2023, Volume 2
2024
/
p. 273-286
https://doi.org/10.1007/978-981-97-4860-0_22
Conference proceedings at Scopus
Article at Scopus
book article EST
/
book article ENG
Related publications
1
Fully automated tuning of microwave coaxial cavity filters = Mikrolaine-koaksiaalfiltrite täisautomaatne häälestamine
3
book article EST
/
book article ENG
An efficient assistance in cavity filter tuning using filter screw classification
Sekhri, Even
;
Tamre, Mart
;
Kapoor, Rajiv
Advances in artificial-business analytics and quantum machine learning : select proceedings of the 3rd international conference, Com-IT-Con 2023, volume 1
2024
/
p. 791-799
https://doi.org/10.1007/978-981-97-2508-3_58
Conference proceedings at Scopus
Article at Scopus
book article EST
/
book article ENG
4
book article EST
/
book article ENG
Mobile phone usage data for credit scoring
Ots, Henri
;
Liiv, Innar
;
Tur, Diana
Databases and Information Systems : 14th International Baltic Conference, DB&IS 2020, Tallinn, Estonia, June 16-19, 2020 : Proceedings
2020
/
p. 82-95
https://doi.org/10.1007/978-3-030-57672-1_7
Conference proceeding at Scopus
Article at Scopus
book article EST
/
book article ENG
5
journal article EST
/
journal article ENG
Stream clustering guided supervised learning for classifying NIDS alerts
Vaarandi, Risto
;
Guerra Manzanares, Alejandro
Future generation computer systems
2024
/
p. 231-244 : ill
https://doi.org/10.1016/j.future.2024.01.032
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
6
book article
Towards artificial intelligence driven immersive environments in virtual reality for industrial applications
Alsaleh, Saleh Ragheb Saleh
;
Tepljakov, Aleksei
;
Tamre, Mart
;
Petlenkov, Eduard
44th International Conference on Telecommunications and Signal Processing (TSP)
2021
/
p. 340-345
https://doi.org/10.1109/TSP52935.2021.9522676
book article
Related publications
1
Digital twin based computational methods for XR applications = Digitaalkaksikute põhised arvutuslikud meetodid XR rakenduste jaoks
7
book article EST
/
book article ENG
Virtual reality meets intelligence in large scale architecture
Köse, Ahmet
;
Petlenkov, Eduard
;
Tepljakov, Aleksei
;
Vassiljeva, Kristina
Augmented Reality, Virtual Reality, and Computer Graphics : 4th International Conference, AVR 2017, Ugento, Italy, June 12-15, 2017 : proceedings. Part II
2017
/
p. 297-309 : ill
https://doi.org/10.1007/978-3-319-60928-7_26
Conference proceedings at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
Number of records 7, displaying
1 - 7
keyword
251
1.
semi-supervised learning
2.
supervised learning
3.
supervised learning data
4.
supervised contrastive learning
5.
supervised machine learning
6.
unsupervised learning
7.
unsupervised machine learning
8.
weakly supervised training
9.
active blended learning
10.
active learning
11.
active learning and engagement
12.
active learning methods
13.
adaptive learning
14.
adversarial machine learning
15.
adversarial machine-learning
16.
algorithm controlling the learning process
17.
appetitive associative learning
18.
approach to learning
19.
Attitude to learning
20.
authoritarian learning
21.
automata learning
22.
automatic machine learning (autoML)
23.
bayesian learning
24.
BIM-enabled learning
25.
BIM-enabled learning environment
26.
biophilic learning environments
27.
blended learning
28.
business school as learning organization
29.
business school learning organization questionnaire (BSLOQ)
30.
business school learning rate dependence on GPD
31.
business school learning rate measurement instrument
32.
challenge-based learning
33.
Challenge-Based Learning (CBL)
34.
city-to-city learning
35.
client learning
36.
Collaborative e-learning
37.
collaborative learning
38.
competence based learning
39.
competence learning
40.
competence-based learning
41.
competency based learning
42.
Component organised learning (COL)
43.
computer assisted language learning
44.
computer based learning
45.
computer-assisted language learning (CALL)
46.
contrastive learning
47.
cooperative reinforcement learning
48.
coping with online teaching and learning
49.
customer learning
50.
data analytics and machine learning
51.
deep learning
52.
deep learning (DL)
53.
deep learning classifier
54.
deep learning method
55.
deep learning methods
56.
deep learning model
57.
deep learning model quantization
58.
deep learning network
59.
deep reinforcement learning
60.
Deep reinforcing learning SDN
61.
Deep-learning
62.
deep-learning (DL)
63.
dictionary learning
64.
digital learning module
65.
digital remote learning
66.
Dimensions of Learning Organisation Questionnaire (DLOQ)
67.
distance learning
68.
distant learning
69.
distributed independent reinforcement learning
70.
double Q-learning
71.
effective teaching and learning
72.
e-learning
73.
e‐learning
74.
e-Learning course
75.
e-Learning database
76.
e-learning environment
77.
electronic learning
78.
embedded deep learning
79.
Emergency remote learning
80.
ensemble learning
81.
enterprising and entrepreneurial learning
82.
entrepreneurial learning
83.
entrepreneurial teaching and learning
84.
ESG-learning
85.
experiential learning
86.
explainable machine learning
87.
Federated learning
88.
federated learning (FL)
89.
flexible learning
90.
game based learning
91.
game-based learning
92.
Gamified learning
93.
graph machine learning
94.
guided in-service learning
95.
hands-on-learning
96.
history learning
97.
horizontal federated learning
98.
human-centred learning
99.
hybrid learning
100.
Immersive Learning
101.
incremental learning
102.
inductive learning
103.
inductive learning algorithm
104.
interactive learning objects
105.
interdisciplinary learning
106.
interpretable machine learning
107.
inverse reinforcement learning
108.
investor learning
109.
iterative learning
110.
Kolb’s experiential learning cycle
111.
language learning
112.
Learner-centered learning environment
113.
learning
114.
learning (artificial intelligence)
115.
learning activities
116.
learning adaptation in autonomous vehicles
117.
learning algorithm
118.
learning analysis
119.
learning analytics
120.
learning and experimentation
121.
learning and health outcomes
122.
learning and memory
123.
learning business school
124.
learning by teaching
125.
learning concept
126.
learning content
127.
learning design
128.
learning difficulties
129.
Learning environment
130.
learning experience
131.
learning factory
132.
Learning from Demonstration
133.
learning infrastructures
134.
Learning Lab
135.
learning management
136.
learning management system
137.
learning management systems
138.
learning methodology
139.
learning metrics
140.
learning models
141.
learning motivation
142.
learning objectives
143.
learning objects
144.
learning organization
145.
learning orientation
146.
learning outcomes
147.
learning process
148.
learning processes
149.
learning rate
150.
learning rate dependence on ownership form
151.
learning rate of organization
152.
learning region
153.
learning situation
154.
learning software agents
155.
learning styles
156.
learning systems
157.
learning technologies
158.
learning theories
159.
learning through the questionnaires
160.
learning university
161.
learning-to-rank
162.
lifelong learning
163.
long-short term learning
164.
machine learning
165.
machine learning (ML)
166.
machine learning algorithms
167.
machine learning approach
168.
Machine Learning Explainable model
169.
machine learning for environmental applications
170.
machine learning models
171.
machine learning systems
172.
machine-learning
173.
machine-learning predictive model
174.
mathematics students learning habits
175.
Meaningful learning
176.
measuring learning
177.
mobile learning
178.
model learning
179.
Multi-agent reinforcement learning
180.
multi-task learning
181.
mutual learning
182.
new learning models
183.
node embedding learning
184.
NREN e-learning
185.
on-device transfer learning
186.
online learning
187.
ontologies for learning systems
188.
ontology learning
189.
Open Learning Resources (OLR)
190.
organisational learning
191.
organizational learning
192.
organizational learning measurement instruments
193.
organizational learning rate dependence on management
194.
organizational learning rate measurement
195.
outcome oriented learning
196.
Parkinson’s disease machine learning
197.
peer‐to‐peer learning group
198.
personalised learning
199.
Personalized learning
200.
policy learning
201.
problem-based learning
202.
Problem-based learning (PBL)
203.
project learning
204.
project-based learning
205.
Q-learning
206.
Q-learning algorithm
207.
query learning
208.
regional learning
209.
reinforcement learning
210.
Reinforcement Learning (RL)
211.
relative learning performance
212.
Remote learning
213.
research-oriented learning
214.
reusable learning objects
215.
robust machine learning
216.
scholarship of teaching and learning
217.
self learning software
218.
self learning system
219.
self-learning
220.
self-regulated learning
221.
sequence of learning activities
222.
SIS problem, learning with errors
223.
small data machine learning
224.
smart learning
225.
smart learning environment
226.
social learning
227.
socio-emotional learning
228.
stochastic learning theory
229.
student centred learning
230.
synchronous hybrid learning
231.
zero-shot learning
232.
task based learning
233.
team learning
234.
Technological learning
235.
technology-enhanced learning
236.
the dimensions of the learning organisation
237.
the dimensions of the learning organization questionnaire (DLOQ)
238.
tools for interactive learning and teaching
239.
trans-disciplinary social-learning
240.
transfer learning
241.
true online reinforcement learning
242.
ubiquitous learning
243.
urban learning center
244.
value of learning
245.
web and computerbased learning
246.
Web and computer-based learning
247.
virtual collaborative learning environment (VCLE)
248.
virtual learning environment
249.
virtual learning factory
250.
work-based learning
251.
workplace learning
author
1
1.
ELIXIR Machine Learning Focus Group
subject term
1
1.
UNDP Urban Learning Center
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