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26
book article
Data science-based techniques for modelling and diagnostics of battery cells based on end-of-life criteria
Zequera, Rolando Antonio Gilbert
;
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
book article
Related publications
1
Artificial Intelligence-Based Predictive Analytics for Battery Energy Storage Systems in Electric Vehicle Applications = Tehisintellektil põhinev ennustav andmeanalüüs akupõhiste energiasalvestussüsteemide jaoks elektrisõidukites
27
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
28
book article
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
book article
29
book article EST
/
book article 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
Conference Proceedings at WOS
Article at WOS
book article EST
/
book article ENG
Related publications
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
30
book article EST
/
book article 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
Article at Scopus
Article at WOS
book article EST
/
book article ENG
Related publications
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
31
journal article EST
/
journal article 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
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
32
journal article EST
/
journal article 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
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
33
book article
Differences in Android behavior between real device and emulator : a malware detection perspective
Guerra Manzanares, Alejandro
;
Bahsi, Hayretdin
;
Nõmm, Sven
6th International Conference on Internet of Things: Systems, Management and Security (IOTSMS), Granada, Spain, October 22-25, 2019
2019
/
art. 8939268, p. 399-404
https://doi.org/10.1109/IOTSMS48152.2019.8939268
book article
34
book article EST
/
book article ENG
Digital transformation insights from an AI solution in search of a problem
Dreyling III, Richard Michael
;
Tammet, Tanel
;
Pappel, Ingrid
Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications : 10th International Conference, FDSE 2023, Da Nang, Vietnam, November 22–24, 2023 : proceedings
2023
/
p. 341 - 351
https://doi.org/10.1007/978-981-99-8296-7_24
Conference Proceedings at Scopus
Article at Scopus
book article EST
/
book article ENG
35
book article
Dimensionality reduction for machine learning based IoT botnet detection
Bahsi, Hayretdin
;
Nõmm, Sven
15th International Conference on Control, Automation, Robotics and Vision (ICARCV 2018) : Singapore, November 18-21, 2018
2018
/
p. 1857-1862 : ill
https://doi.org/10.1109/ICARCV.2018.8581205
book article
36
journal article
Discretizing numerical attributes : an analysis of human perceptions
Kaushik, Minakshi
;
Sharma, Rahul
;
Draheim, Dirk
arXiv.org
2023
/
18 p. : ill
https://doi.org/10.48550/arXiv.2311.03278
journal article
Related publications
1
Generalized association rule mining – dimensional unsupervised learning = Üldistatud assotsiatsioonireeglite kaevandamine – dimensiooniline juhendamata õpe
37
book article EST
/
book article ENG
Discretizing numerical attributes : an analysis of human perceptions : [conference paper]
Kaushik, Minakshi
;
Sharma, Rahul
;
Vidyarthi, Ankit
;
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. 188-197
https://doi.org/10.1007/978-3-031-15743-1_18
Conference proceedings at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
Related publications
1
Generalized association rule mining – dimensional unsupervised learning = Üldistatud assotsiatsioonireeglite kaevandamine – dimensiooniline juhendamata õpe
38
book article
Driver distraction detection and evaluation with artificial neural network and fuzzy logic : In-vehicle information system as a driver's secondary activity: case study
Aksjonov, Andrei
;
Nedoma, Pavel
;
Vodovozov, Valery
;
Petlenkov, Eduard
2018 IEEE 15th International Workshop on Advanced Motion Control (AMC 2018)
2018
/
p. 523–528 : ill
Driver distraction detection and evaluation with artificial neural network and fuzzy logic : In-vehicle information system as a driver's secondary activity: case study
book article
39
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
40
book article
Enabling cross-layer reliability and functional safety assessment through ML-based compact models
Alexandrescu, Dan
;
Balakrishnan, Aneesh
;
Lange, Thomas
;
Glorieux, Maximilien
Proceedings : 2020 26th IEEE International Symposium on On-Line Testing and Robust System Design : IOLTS 2020, Napoli, Italy, July 13-16, 2020 : virtual edition
2020
/
6 p. : ill
https://doi.org/10.1109/IOLTS50870.2020.9159750
book article
Related publications
1
A synthetic, hierarchical approach for modelling and managing complex systems' quality and reliability = Sünteetiline, hierarhiline lähenemine keerukate süsteemide kvaliteedi ja töökindluse modelleerimiseks ja haldamiseks
41
journal article EST
/
journal article ENG
Ensemble approach for detection of depression using EEG features
Avots, Egils
;
Jermakovs, Klavs
;
Bachmann, Maie
;
Päeske, Laura
;
Ozcinar, Cagri
;
Anbarjafari, Gholamreza
Entropy
2022
/
art. 211
https://doi.org/10.3390/e24020211
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
42
book article
Estimating UWB positioning integrity based on ranging residuals
Tommingas, Mihkel
;
Ulp, Sander
;
Alam, Muhammad Mahtab
;
Müürsepp, Ivo
;
Laadung, Taavi
2023 24th International Conference on Applied Electromagnetics and Communications (ICECOM)
2023
/
5 p
https://doi.org/10.1109/ICECOM58258.2023.10367954
book article
Related publications
1
Enhancing UWB and multi-sensor positioning with ML-based uncertainty estimation = Ülilairiba ja mitme sensoriga positsioneerimissüsteemide täpsuse parandamine masinõppe meetodil
43
book article
Evelekt AS turnover forecasting using the machine learning method
Reiman, Riido
AI IN BUSINESS : proceedings of the scientific workshop on business implications of artificial intelligence, June 7, 2022
2022
/
p. 58-60 : ill
https://www.ester.ee/record=b5506022*est
https://digikogu.taltech.ee/et/Item/2096bada-661d-4928-99a7-bfbce51825d8
book article
44
journal article EST
/
journal article ENG
An exhaustive multi-aspect analysis of swarm intelligence algorithms in numerical association rule mining
Kaushik, Minakshi
;
Sharma, Rahul
;
Koiva, Pilleriin
;
Fister, Iztok
;
Draheim, Dirk
IEEE Access
2024
/
p. 138985 - 139002
https://doi.org/10.1109/ACCESS.2024.3417334
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
45
journal article EST
/
journal article ENG
Experts still needed : boosting long-term android malware detection with active learning
Guerra-Manzanares, Alejandro
;
Bahsi, Hayretdin
Journal of Computer Virology and Hacking Techniques
2024
/
p. 901 - 918
https://doi.org/10.1007/s11416-024-00536-y
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
46
journal article EST
/
journal article ENG
Explainability and transparency of classifiers for air-handling unit faults using explainable artificial intelligence (XAI)
Meas, Molika
;
Machlev, Ram
;
Köse, Ahmet
;
Tepljakov, Aleksei
;
Loo, Lauri
;
Levron, Yoash
;
Petlenkov, Eduard
;
Belikov, Juri
Sensors
2022
/
art. 6338 : ill
https://doi.org/10.3390/s22176338
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
47
book article
Exploring the Impact of Feature Selection on Non-Stationary Intrusion Detection Models in IoT Networks
Rehman, Muaan Ur
;
Bahsi, Hayretdin
;
Kalakoti, Rajesh
2025 22nd Annual International Conference on Privacy, Security, and Trust (PST) : Fredericton, NB, Canada, 2025 : conference proceedings
2025
/
10 p
https://doi.org//10.1109/PST65910.2025.11268886
book article
Related publications
1
Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemid
48
journal article EST
/
journal article ENG
Forecasting of energy consumption and production using recurrent neural networks
Shabbir, Noman
;
Kütt, Lauri
;
Jawad, Muhammad
;
Iqbal, Muhammad Naveed
;
Shams Ghahfarokhi, Payam
Advances in electrical and electronic engineering
2020
/
p. 190−197
https://doi.org/10.15598/aeee.v18i3.3597
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
49
book article
Forecasting short term wind energy generation using machine learning
Shabbir, Noman
;
Ahmadiahangar, Roya
;
Kütt, Lauri
;
Iqbal, Muhammad Naveed
;
Rosin, Argo
2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), 7-9 October 2019 : conference proceedings
2019
/
4 p
https://doi.org/10.1109/RTUCON48111.2019.8982365
book article
50
journal article EST
/
journal article ENG
Fractional order sliding mode controller based on supervised machine learning techniques for speed control of PMSM
Zahraoui, Younes
;
Zaihidee, Fardila M.
;
Kermadi, Mostefa
;
Mekhilef, Saad
;
Mubin, Marizan
;
Tang, Jing Rui
;
Zaihidee, Ezrinda M.
Mathematics
2023
/
art. 1457
https://doi.org/10.3390/math11061457
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Number of records 143, displaying
26 - 50
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317
1.
adversarial machine learning
2.
adversarial machine-learning
3.
automatic machine learning (autoML)
4.
data analytics and machine learning
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.
high-frequency machine modeling
40.
human machine interaction
41.
human machine systems
42.
human-machine interaction
43.
human-machine interactions
44.
human-machine interface
45.
human-machine system
46.
induction machine
47.
interior permanent magnet machine
48.
interior permanent-magnet synchronous machine (IPMSM)
49.
logic machine
50.
low-resource machine translation
51.
machine bearings
52.
machine condition monitoring
53.
machine control
54.
machine design
55.
machine elements
56.
machine error
57.
machine housing
58.
machine tools
59.
machine translation
60.
machine vector control
61.
machine windings
62.
machine vision
63.
machine-checked proofs
64.
machine-translation
65.
man-machine systems
66.
massive machine type communication (mMTC)
67.
massive machine-type communication (mMTC)
68.
massive machine-type communications (mMTC)
69.
massive Machine-Type connections (mMTC)
70.
multi-class support vector machine (m-SVM)
71.
multi-machine
72.
multi-machine industrial power plant
73.
multi-machine power system
74.
multi-stream interaction machine
75.
neural machine translation
76.
outer-rotor machine
77.
permanent magnet (PM) synchronous machine
78.
permanent magnet flux-switching machine
79.
permanent magnet machine
80.
permanent magnet synchronous machine (PMSM)
81.
reluctance machine
82.
sewing machine operator
83.
spoke-type PM machine
84.
state machine
85.
support vector machine
86.
surface permanent magnet machine (SPM)
87.
switched reluctance machine
88.
switched reluctance machine (SRM)
89.
synchronous machine
90.
TBM (tunnel boring machine)
91.
totally enclosed fan-cooled machine
92.
universal friction machine
93.
virtual synchronous machine
94.
active blended learning
95.
active learning
96.
active learning methods
97.
adaptive learning
98.
algorithm controlling the learning process
99.
appetitive associative learning
100.
approach to learning
101.
Attitude to learning
102.
authoritarian learning
103.
automata learning
104.
bayesian learning
105.
BIM-enabled learning
106.
BIM-enabled learning environment
107.
biophilic learning environments
108.
blended learning
109.
business school as learning organization
110.
business school learning organization questionnaire (BSLOQ)
111.
business school learning rate dependence on GPD
112.
business school learning rate measurement instrument
113.
challenge-based learning
114.
Challenge-Based Learning (CBL)
115.
client learning
116.
Collaborative e-learning
117.
collaborative learning
118.
competence based learning
119.
competence learning
120.
competence-based learning
121.
competency based learning
122.
Component organised learning (COL)
123.
computer assisted language learning
124.
computer based learning
125.
computer-assisted language learning (CALL)
126.
contrastive learning
127.
cooperative reinforcement learning
128.
coping with online teaching and learning
129.
customer learning
130.
deep learning
131.
deep learning (DL)
132.
deep learning classifier
133.
deep learning method
134.
deep learning methods
135.
deep learning model
136.
deep learning model quantization
137.
deep learning network
138.
deep reinforcement learning
139.
Deep reinforcing learning SDN
140.
Deep-learning
141.
deep-learning (DL)
142.
dictionary learning
143.
digital learning module
144.
digital remote learning
145.
Dimensions of Learning Organisation Questionnaire (DLOQ)
146.
distance learning
147.
distant learning
148.
distributed independent reinforcement learning
149.
double Q-learning
150.
effective teaching and learning
151.
e-learning
152.
e‐learning
153.
e-Learning course
154.
e-Learning database
155.
e-learning environment
156.
electronic learning
157.
embedded deep learning
158.
Emergency remote learning
159.
ensemble learning
160.
enterprising and entrepreneurial learning
161.
entrepreneurial learning
162.
entrepreneurial teaching and learning
163.
ESG-learning
164.
experiential learning
165.
Federated learning
166.
federated learning (FL)
167.
flexible learning
168.
game based learning
169.
game-based learning
170.
guided in-service learning
171.
hands-on-learning
172.
history learning
173.
horizontal federated learning
174.
human-centred learning
175.
hybrid learning
176.
Immersive Learning
177.
incremental learning
178.
inductive learning
179.
inductive learning algorithm
180.
interactive learning objects
181.
interdisciplinary learning
182.
inverse reinforcement learning
183.
investor learning
184.
iterative learning
185.
Kolb’s experiential learning cycle
186.
language learning
187.
Learner-centered learning environment
188.
learning
189.
learning (artificial intelligence)
190.
learning activities
191.
learning adaptation in autonomous vehicles
192.
learning algorithm
193.
learning analysis
194.
learning analytics
195.
learning and experimentation
196.
learning and health outcomes
197.
learning and memory
198.
learning business school
199.
learning by teaching
200.
learning concept
201.
learning content
202.
learning design
203.
learning difficulties
204.
Learning environment
205.
learning experience
206.
learning factory
207.
Learning from Demonstration
208.
learning infrastructures
209.
Learning Lab
210.
learning management
211.
learning management system
212.
learning management systems
213.
learning methodology
214.
learning metrics
215.
learning models
216.
learning motivation
217.
learning objectives
218.
learning objects
219.
learning organization
220.
learning orientation
221.
learning outcomes
222.
learning process
223.
learning processes
224.
learning rate
225.
learning rate dependence on ownership form
226.
learning rate of organization
227.
learning region
228.
learning situation
229.
learning software agents
230.
learning styles
231.
learning systems
232.
learning technologies
233.
learning theories
234.
learning through the questionnaires
235.
learning university
236.
learning-to-rank
237.
lifelong learning
238.
long-short term learning
239.
mathematics students learning habits
240.
Meaningful learning
241.
measuring learning
242.
mobile learning
243.
model learning
244.
Multi-agent reinforcement learning
245.
multi-task learning
246.
mutual learning
247.
new learning models
248.
node embedding learning
249.
NREN e-learning
250.
on-device transfer learning
251.
online learning
252.
ontologies for learning systems
253.
ontology learning
254.
Open Learning Resources (OLR)
255.
organisational learning
256.
organizational learning
257.
organizational learning measurement instruments
258.
organizational learning rate dependence on management
259.
organizational learning rate measurement
260.
outcome oriented learning
261.
peer‐to‐peer learning group
262.
personalised learning
263.
policy learning
264.
problem-based learning
265.
Problem-based learning (PBL)
266.
project learning
267.
project-based learning
268.
Q-learning
269.
Q-learning algorithm
270.
query learning
271.
regional learning
272.
reinforcement learning
273.
Reinforcement Learning (RL)
274.
relative learning performance
275.
Remote learning
276.
research-oriented learning
277.
reusable learning objects
278.
scholarship of teaching and learning
279.
self learning software
280.
self learning system
281.
self-learning
282.
self-regulated learning
283.
semi-supervised learning
284.
sequence of learning activities
285.
SIS problem, learning with errors
286.
smart learning
287.
smart learning environment
288.
social learning
289.
socio-emotional learning
290.
stochastic learning theory
291.
student centred learning
292.
supervised contrastive learning
293.
supervised learning
294.
supervised learning data
295.
synchronous hybrid learning
296.
zero-shot learning
297.
task based learning
298.
team learning
299.
Technological learning
300.
technology-enhanced learning
301.
the dimensions of the learning organisation
302.
the dimensions of the learning organization questionnaire (DLOQ)
303.
tools for interactive learning and teaching
304.
trans-disciplinary social-learning
305.
transfer learning
306.
true online reinforcement learning
307.
ubiquitous learning
308.
unsupervised learning
309.
urban learning center
310.
value of learning
311.
web and computerbased learning
312.
Web and computer-based learning
313.
virtual collaborative learning environment (VCLE)
314.
virtual learning environment
315.
virtual learning factory
316.
work-based learning
317.
workplace learning
author
1
1.
ELIXIR Machine Learning Focus Group
subject term
1
1.
UNDP Urban Learning Center
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