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machine learning (võtmesõna)
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26
artikkel ajakirjas EST
/
artikkel ajakirjas 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
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
27
artikkel kogumikus
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
artikkel kogumikus
28
artikkel kogumikus EST
/
artikkel kogumikus 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
artikkel kogumikus EST
/
artikkel kogumikus ENG
29
artikkel kogumikus
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
artikkel kogumikus
30
artikkel ajakirjas
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
artikkel ajakirjas
Seotud publikatsioonid
1
Generalized association rule mining – dimensional unsupervised learning = Üldistatud assotsiatsioonireeglite kaevandamine – dimensiooniline juhendamata õpe
31
artikkel kogumikus EST
/
artikkel kogumikus 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
artikkel kogumikus EST
/
artikkel kogumikus ENG
Seotud publikatsioonid
1
Generalized association rule mining – dimensional unsupervised learning = Üldistatud assotsiatsioonireeglite kaevandamine – dimensiooniline juhendamata õpe
32
artikkel kogumikus
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
artikkel kogumikus
33
artikkel kogumikus
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
artikkel kogumikus
34
artikkel kogumikus
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
artikkel kogumikus
Seotud publikatsioonid
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
35
artikkel ajakirjas EST
/
artikkel ajakirjas 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
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
36
artikkel kogumikus
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
artikkel kogumikus
37
artikkel kogumikus
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
artikkel kogumikus
38
artikkel ajakirjas EST
/
artikkel ajakirjas 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
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
39
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Forecasting of energy consumption and production using recurrent neural networks
Shabbir, Noman
;
Kütt, Lauri
;
Jawad, Muhammad
;
Iqbal, Muhammad Naveed
;
Ghahfarokhi, Payam Shams
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
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
40
artikkel kogumikus
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
artikkel kogumikus
41
artikkel ajakirjas EST
/
artikkel ajakirjas 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
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
42
artikkel ajakirjas
Generation of unmeasured loading levels data for condition monitoring of induction machine using machine learning
Billah, Md Masum
;
Saberi, Alireza Nemat
;
Hemeida, Ahmed
;
Martin, Floran
;
Kudelina, Karolina
;
Asad, Bilal
;
Naseer, Muhammad Usman
;
Mukherjee, Victor
;
Belahcen, Anouar
IEEE transactions on magnetics
2023
https://doi.org/10.1109/TMAG.2023.3312267
artikkel ajakirjas
43
artikkel kogumikus
Hybrid feature selection models for machine learning based botnet detection in IoT networks
Guerra Manzanares, Alejandro
;
Bahsi, Hayretdin
;
Nõmm, Sven
2019 International Conference on Cyberworlds : CW 2019 : 2-4 October 2019, Kyoto, Japan : proceedings
2019
/
p. 324-327 : ill
https://doi.org/10.1109/CW.2019.00059
artikkel kogumikus
Seotud publikatsioonid
1
Machine learning-based detection and characterization of evolving threats in mobile and IoT Systems = Masinõppepõhine arenevate ohtude tuvastamine ning kirjeldamine mobiilseadmete ja värkvõrkude jaoks
44
artikkel kogumikus
The impact of load on global parameters of electrical machines in case of healthy and broken rotor bars
Kudelina, Karolina
;
Raja, Hadi Ashraf
;
Autsou, Siarhei
;
Asad, Bilal
;
Vaimann, Toomas
;
Rassõlkin, Anton
;
Kallaste, Ants
;
Shabbir, Noman
2022 18th Biennial Baltic Electronics Conference (BEC)
2022
/
5 l.
https://doi.org/10.1109/BEC56180.2022.9935614
artikkel kogumikus
45
artikkel kogumikus EST
/
artikkel kogumikus ENG
Impact-driven discretization of numerical factors : case of two- and three-partitioning
Kaushik, Minakshi
;
Sharma, Rahul
;
Arakkal Peious, Sijo
;
Draheim, Dirk
Big Data Analytics. BDA 2021 : 9th International Conference, BDA 2021, Virtual Event, December 15-18, 2021 : proceedings
2021
/
p. 244–260
https://doi.org/10.1007/978-3-030-93620-4_18
Conference Proceedings at Scopus
Article at Scopus
artikkel kogumikus EST
/
artikkel kogumikus ENG
Seotud publikatsioonid
1
Generalized association rule mining – dimensional unsupervised learning = Üldistatud assotsiatsioonireeglite kaevandamine – dimensiooniline juhendamata õpe
46
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Improved fault classification and localization in power transmission networks using vae-generated synthetic data and machine learning algorithms
Khan, Muhammad Amir
;
Asad, Bilal
;
Vaimann, Toomas
;
Kallaste, Ants
;
Pomarnacki, Raimondas
;
Hyunh, Van Khang
Machines
2023
/
art. 963
https://doi.org/10.3390/machines11100963
Journal metrics at Scopus
Article at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
47
artikkel ajakirjas
Improving response time of task and Adaboost classifiers in mobile fog computing
Darbanian, Elham
;
Rahbari, Dadmehr
;
Ghanizadeh, Roghayeh
;
Nickray, Mohsen
Jordanian journal of computers and information technology
2020
/
p. 345−360
https://www.ejmanager.com/mnstemps/71/71-1590557276.pdf?t=1608030630
artikkel ajakirjas
48
artikkel ajakirjas
In silico machine learning methods in drug development
Dobchev, Dimitar Atanasov
;
Pillai, Girinath Gopinathan
;
Karelson, Mati
Current topics in medicinal chemistry
2014
/
p. 1913-1922
artikkel ajakirjas
49
artikkel kogumikus
In-depth feature selection and ranking for automated detection of mobile malware
Guerra Manzanares, Alejandro
;
Nõmm, Sven
;
Bahsi, Hayretdin
Proceedings of the 5th International Conference on Information Systems Security and Privacy : ICISSP 2019 : February 23-25, 2019, Prague, Czech Republic. Vol. 1
2019
/
p. 274-283 : ill
https://doi.org/10.5220/0007349602740283
artikkel kogumikus
Seotud publikatsioonid
1
Machine learning-based detection and characterization of evolving threats in mobile and IoT Systems = Masinõppepõhine arenevate ohtude tuvastamine ning kirjeldamine mobiilseadmete ja värkvõrkude jaoks
50
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
In-depth feature selection for the statistical machine learning-based botnet detection in IoT networks
Kalakoti, Rajesh
;
Nõmm, Sven
;
Bahsi, Hayretdin
IEEE Access
2022
/
p. 94518-94535
https://doi.org/10.1109/ACCESS.2022.3204001
Journal metrics at Scopus
Article at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Kirjeid leitud 115, kuvan
26 - 50
eelmine
1
2
3
4
5
järgmine
võtmesõna
278
1.
adversarial machine learning
2.
adversarial machine-learning
3.
automatic machine learning (autoML)
4.
graph machine learning
5.
interpretable machine learning
6.
machine learning
7.
machine learning (ML)
8.
machine learning algorithms
9.
machine learning approach
10.
Machine Learning Explainable model
11.
machine learning for environmental applications
12.
machine learning models
13.
machine learning systems
14.
machine-learning
15.
machine-learning predictive model
16.
Parkinson’s disease machine learning
17.
robust machine learning
18.
small data machine learning
19.
supervised machine learning
20.
unsupervised machine learning
21.
machine-to-machine communications
22.
AC machine
23.
Algorithmic State Machine - ASM
24.
axial flux machine
25.
axial flux switched reluctance machine
26.
bearingless machine
27.
brushless machine
28.
coordinate measurring machine
29.
electric machine
30.
electric machine analysis computing
31.
electric machine control
32.
electrical machine
33.
electrical machine cooling
34.
electrical machine design
35.
finite state machine
36.
Finite State Machine - FSM
37.
hierarchical finite state machine
38.
human machine interaction
39.
human machine systems
40.
human-machine interaction
41.
human-machine interface
42.
human-machine system
43.
induction machine
44.
interior permanent magnet machine
45.
interior permanent-magnet synchronous machine (IPMSM)
46.
machine bearings
47.
machine condition monitoring
48.
machine control
49.
machine design
50.
machine elements
51.
machine error
52.
machine housing
53.
machine tools
54.
machine vector control
55.
machine windings
56.
machine vision
57.
machine-checked proofs
58.
machine-translation
59.
man-machine systems
60.
massive machine-type communication (mMTC)
61.
massive machine-type communications (mMTC)
62.
massive Machine-Type connections (mMTC)
63.
multi-class support vector machine (m-SVM)
64.
multi-machine
65.
multi-machine industrial power plant
66.
multi-machine power system
67.
multi-stream interaction machine
68.
outer-rotor machine
69.
permanent magnet (PM) synchronous machine
70.
permanent magnet flux-switching machine
71.
permanent magnet machine
72.
permanent magnet synchronous machine (PMSM)
73.
sewing machine operator
74.
state machine
75.
support vector machine
76.
surface permanent magnet machine (SPM)
77.
switched reluctance machine
78.
switched reluctance machine (SRM)
79.
synchronous machine
80.
TBM (tunnel boring machine)
81.
totally enclosed fan-cooled machine
82.
universal friction machine
83.
virtual synchronous machine
84.
active blended learning
85.
active learning
86.
active learning methods
87.
algorithm controlling the learning process
88.
appetitive associative learning
89.
approach to learning
90.
Attitude to learning
91.
authoritarian learning
92.
automata learning
93.
BIM-enabled learning
94.
BIM-enabled learning environment
95.
blended learning
96.
business school as learning organization
97.
business school learning organization questionnaire (BSLOQ)
98.
business school learning rate dependence on GPD
99.
business school learning rate measurement instrument
100.
client learning
101.
Collaborative e-learning
102.
collaborative learning
103.
competence based learning
104.
competence learning
105.
competence-based learning
106.
competency based learning
107.
Component organised learning (COL)
108.
computer assisted language learning
109.
computer based learning
110.
computer-assisted language learning (CALL)
111.
cooperative reinforcement learning
112.
coping with online teaching and learning
113.
customer learning
114.
deep learning
115.
deep learning (DL)
116.
deep learning classifier
117.
deep learning model
118.
deep learning model quantization
119.
deep learning network
120.
deep reinforcement learning
121.
Deep reinforcing learning SDN
122.
Deep-learning
123.
deep-learning (DL)
124.
dictionary learning
125.
digital learning module
126.
Dimensions of Learning Organisation Questionnaire (DLOQ)
127.
distance learning
128.
distant learning
129.
distributed independent reinforcement learning
130.
double Q-learning
131.
effective teaching and learning
132.
e-learning
133.
e‐learning
134.
e-Learning course
135.
e-Learning database
136.
e-learning environment
137.
electronic learning
138.
embedded deep learning
139.
Emergency remote learning
140.
ensemble learning
141.
enterprising and entrepreneurial learning
142.
entrepreneurial learning
143.
entrepreneurial teaching and learning
144.
experiential learning
145.
Federated learning
146.
federated learning (FL)
147.
flexible learning
148.
game based learning
149.
game-based learning
150.
guided in-service learning
151.
hands-on-learning
152.
history learning
153.
hybrid learning
154.
incremental learning
155.
inductive learning
156.
inductive learning algorithm
157.
interactive learning objects
158.
interdisciplinary learning
159.
inverse reinforcement learning
160.
investor learning
161.
iterative learning
162.
Learner-centered learning environment
163.
learning
164.
learning (artificial intelligence)
165.
learning activities
166.
learning adaptation in autonomous vehicles
167.
learning algorithm
168.
learning analysis
169.
learning analytics
170.
learning and experimentation
171.
learning and health outcomes
172.
learning and memory
173.
learning business school
174.
learning by teaching
175.
learning concept
176.
learning design
177.
learning difficulties
178.
Learning environment
179.
learning experience
180.
learning infrastructures
181.
Learning Lab
182.
learning management
183.
learning management system
184.
learning management systems
185.
learning methodology
186.
learning metrics
187.
learning models
188.
learning motivation
189.
learning objectives
190.
learning objects
191.
learning organization
192.
learning orientation
193.
learning outcomes
194.
learning process
195.
learning processes
196.
learning rate
197.
learning rate dependence on ownership form
198.
learning rate of organization
199.
learning region
200.
learning situation
201.
learning software agents
202.
learning styles
203.
learning systems
204.
learning technologies
205.
learning theories
206.
learning through the questionnaires
207.
learning university
208.
learning-to-rank
209.
lifelong learning
210.
mathematics students learning habits
211.
Meaningful learning
212.
measuring learning
213.
mobile learning
214.
model learning
215.
Multi-agent reinforcement learning
216.
mutual learning
217.
new learning models
218.
node embedding learning
219.
NREN e-learning
220.
on-device transfer learning
221.
online learning
222.
ontologies for learning systems
223.
ontology learning
224.
organisational learning
225.
organizational learning
226.
organizational learning measurement instruments
227.
organizational learning rate dependence on management
228.
organizational learning rate measurement
229.
outcome oriented learning
230.
peer‐to‐peer learning group
231.
personalised learning
232.
policy learning
233.
problem-based learning
234.
Problem-based learning (PBL)
235.
project learning
236.
project-based learning
237.
Q-learning
238.
Q-learning algorithm
239.
query learning
240.
regional learning
241.
reinforcement learning
242.
Reinforcement Learning (RL)
243.
relative learning performance
244.
Remote learning
245.
research-oriented learning
246.
reusable learning objects
247.
scholarship of teaching and learning
248.
self learning software
249.
self learning system
250.
self-learning
251.
self-regulated learning
252.
semi-supervised learning
253.
smart learning
254.
smart learning environment
255.
social learning
256.
stochastic learning theory
257.
supervised learning
258.
supervised learning data
259.
task based learning
260.
team learning
261.
Technological learning
262.
technology-enhanced learning
263.
the dimensions of the learning organisation
264.
the dimensions of the learning organization questionnaire (DLOQ)
265.
tools for interactive learning and teaching
266.
trans-disciplinary social-learning
267.
transfer learning
268.
true online reinforcement learning
269.
ubiquitous learning
270.
unsupervised learning
271.
urban learning center
272.
value of learning
273.
web and computerbased learning
274.
Web and computer-based learning
275.
virtual learning environment
276.
virtual learning factory
277.
work-based learning
278.
workplace learning
autor
1
1.
ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
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