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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
268
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.
adult learning
15.
adversarial machine learning
16.
adversarial machine-learning
17.
algorithm controlling the learning process
18.
appetitive associative learning
19.
approach to learning
20.
Artificial Intelligence in learning
21.
Attitude to learning
22.
authoritarian learning
23.
automata learning
24.
automatic machine learning (autoML)
25.
bayesian learning
26.
BIM-enabled learning
27.
BIM-enabled learning environment
28.
biophilic learning environments
29.
blended learning
30.
business school as learning organization
31.
business school learning organization questionnaire (BSLOQ)
32.
business school learning rate dependence on GPD
33.
business school learning rate measurement instrument
34.
challenge-based learning
35.
Challenge-Based Learning (CBL)
36.
city-to-city learning
37.
client learning
38.
Collaborative e-learning
39.
collaborative learning
40.
competence based learning
41.
competence learning
42.
competence-based learning
43.
competency based learning
44.
Component organised learning (COL)
45.
computer assisted language learning
46.
computer based learning
47.
computer-assisted language learning (CALL)
48.
context-aware learning system
49.
contrastive learning
50.
cooperative reinforcement learning
51.
coping with online teaching and learning
52.
customer learning
53.
data analytics and machine learning
54.
deep learning
55.
deep learning (DL)
56.
deep learning classifier
57.
deep learning method
58.
deep learning methods
59.
deep learning model
60.
deep learning model quantization
61.
deep learning network
62.
deep reinforcement learning
63.
Deep reinforcing learning SDN
64.
Deep-learning
65.
deep-learning (DL)
66.
dictionary learning
67.
digital learning module
68.
digital learning tool design development
69.
digital remote learning
70.
Dimensions of Learning Organisation Questionnaire (DLOQ)
71.
distance learning
72.
distant learning
73.
distributed independent reinforcement learning
74.
double Q-learning
75.
effective teaching and learning
76.
e-learning
77.
e‐learning
78.
e-Learning course
79.
e-Learning database
80.
e-learning environment
81.
electronic learning
82.
embedded deep learning
83.
Emergency remote learning
84.
ensemble learning
85.
enterprising and entrepreneurial learning
86.
entrepreneurial learning
87.
entrepreneurial teaching and learning
88.
ESG-learning
89.
experiential learning
90.
explainable machine learning
91.
Federated learning
92.
federated learning (FL)
93.
flexible learning
94.
game based learning
95.
game-based learning
96.
Gamified learning
97.
graph machine learning
98.
guided in-service learning
99.
hands-on learning
100.
hands-on-learning
101.
history learning
102.
horizontal federated learning
103.
human-centred learning
104.
hybrid learning
105.
Immersive Learning
106.
inclusive learning
107.
incremental learning
108.
inductive learning
109.
inductive learning algorithm
110.
interactive learning objects
111.
interdisciplinary learning
112.
interpretable machine learning
113.
inverse reinforcement learning
114.
investor learning
115.
iterative learning
116.
Kolb’s experiential learning cycle
117.
language learning
118.
Learner-centered learning environment
119.
learning
120.
learning (artificial intelligence)
121.
learning activities
122.
learning adaptation in autonomous vehicles
123.
learning algorithm
124.
learning analysis
125.
learning analytics
126.
learning and experimentation
127.
learning and health outcomes
128.
learning and memory
129.
learning business school
130.
learning by teaching
131.
learning concept
132.
learning content
133.
learning design
134.
learning difficulties
135.
Learning environment
136.
learning experience
137.
learning factory
138.
Learning from Demonstration
139.
learning infrastructures
140.
Learning Lab
141.
learning management
142.
learning management system
143.
learning management systems
144.
learning methodology
145.
learning metrics
146.
learning models
147.
learning motivation
148.
learning objectives
149.
learning objects
150.
learning organization
151.
learning orientation
152.
learning outcomes
153.
learning process
154.
learning processes
155.
learning rate
156.
learning rate dependence on ownership form
157.
learning rate of organization
158.
learning region
159.
learning situation
160.
learning software agents
161.
learning styles
162.
learning systems
163.
learning technologies
164.
learning theories
165.
learning through the questionnaires
166.
learning university
167.
learning-to-rank
168.
lifelong learning
169.
long-short term learning
170.
machine learning
171.
machine learning (ML)
172.
machine learning algorithms
173.
machine learning applications in power systems
174.
machine learning approach
175.
Machine Learning Explainable model
176.
machine learning for environmental applications
177.
machine learning models
178.
machine learning systems
179.
machine-learning
180.
machine-learning control
181.
machine-learning predictive model
182.
mathematics students learning habits
183.
Meaningful learning
184.
measuring learning
185.
mobile learning
186.
model learning
187.
Multi-agent deep reinforcement learning
188.
Multi-agent reinforcement learning
189.
multi-task learning
190.
mutual learning
191.
new learning models
192.
node embedding learning
193.
NREN e-learning
194.
on-device transfer learning
195.
online distance learning
196.
online learning
197.
ontologies for learning systems
198.
ontology learning
199.
Open Learning Resources (OLR)
200.
organisational learning
201.
organizational learning
202.
organizational learning measurement instruments
203.
organizational learning rate dependence on management
204.
organizational learning rate measurement
205.
outcome oriented learning
206.
Parkinson’s disease machine learning
207.
peer‐to‐peer learning group
208.
personalised learning
209.
personalized learning
210.
personalized learning in higher education
211.
policy learning
212.
probability-informed machine learning
213.
problem-based learning
214.
Problem-based learning (PBL)
215.
project based learning
216.
project learning
217.
project-based learning
218.
Q-learning
219.
Q-learning algorithm
220.
query learning
221.
regional learning
222.
reinforcement learning
223.
Reinforcement Learning (RL)
224.
relative learning performance
225.
Remote learning
226.
research-oriented learning
227.
reusable learning objects
228.
robust machine learning
229.
scholarship of teaching and learning
230.
second language learning
231.
self learning software
232.
self learning system
233.
self-learning
234.
self-regulated learning
235.
sequence of learning activities
236.
sequence to sequence learning
237.
sequential learning
238.
SIS problem, learning with errors
239.
small data machine learning
240.
smart learning
241.
smart learning environment
242.
social learning
243.
socio-emotional learning
244.
Statistical Machine learning
245.
stochastic learning theory
246.
student centred learning
247.
synchronous hybrid learning
248.
zero-shot learning
249.
task based learning
250.
team learning
251.
Technological learning
252.
technology-enhanced learning
253.
the dimensions of the learning organisation
254.
the dimensions of the learning organization questionnaire (DLOQ)
255.
tools for interactive learning and teaching
256.
trans-disciplinary social-learning
257.
transfer learning
258.
true online reinforcement learning
259.
ubiquitous learning
260.
urban learning center
261.
value of learning
262.
web and computerbased learning
263.
Web and computer-based learning
264.
virtual collaborative learning environment (VCLE)
265.
virtual learning environment
266.
virtual learning factory
267.
work-based learning
268.
workplace learning
author
1
1.
ELIXIR Machine Learning Focus Group
subject term
1
1.
UNDP Urban Learning Center
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