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26
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
27
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
28
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
29
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
Seotud publikatsioonid
1
Generalized association rule mining – dimensional unsupervised learning = Üldistatud assotsiatsioonireeglite kaevandamine – dimensiooniline juhendamata õpe
30
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
Seotud publikatsioonid
1
Generalized association rule mining – dimensional unsupervised learning = Üldistatud assotsiatsioonireeglite kaevandamine – dimensiooniline juhendamata õpe
31
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
32
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
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
33
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
34
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
35
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
36
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
37
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
;
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
journal article EST
/
journal article ENG
38
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
39
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
40
journal article
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
journal article
41
book article
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
book article
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
42
book article
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
book article
43
book article EST
/
book article 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
book article EST
/
book article ENG
Seotud publikatsioonid
1
Generalized association rule mining – dimensional unsupervised learning = Üldistatud assotsiatsioonireeglite kaevandamine – dimensiooniline juhendamata õpe
44
journal article EST
/
journal article 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
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
45
journal article
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
journal article
46
journal article
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
journal article
47
book article
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
book article
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
48
journal article EST
/
journal article 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
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
49
journal article EST
/
journal article ENG
Industrial robot training in the simulation using the machine learning agent
Nutonen, Karle
;
Kuts, Vladimir
;
Otto, Tauno
Procedia computer science
2023
/
p. 446-455
https://doi.org/10.1016/j.procs.2022.12.240
Conference Proceedings at Scopus
Article at Scopus
journal article EST
/
journal article ENG
50
book article
Knowledge based decision making in mechanical workshops
Kruuser, Kaarel
;
Riives, Jüri
;
Kiolein, Indrek
Proceedings of the 32nd International DAAAM Virtual Symposium "Intelligent Manufacturing & Automation"
2021
/
p. 0514-0521
https://doi.org/10.2507/32nd.daaam.proceedings.074
book article
Number of records 112, displaying
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279
1.
adversarial machine learning
2.
adversarial machine-learning
3.
automatic machine learning (autoML)
4.
False data injection attack; Machine learning; Matlab; Python; State estimation; Sudden load change
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.
human machine interaction
40.
human machine systems
41.
human-machine interaction
42.
human-machine interface
43.
human-machine system
44.
induction machine
45.
interior permanent magnet machine
46.
interior permanent-magnet synchronous machine (IPMSM)
47.
machine bearings
48.
machine condition monitoring
49.
machine control
50.
machine design
51.
machine elements
52.
machine error
53.
machine housing
54.
machine tools
55.
machine vector control
56.
machine windings
57.
machine vision
58.
machine-checked proofs
59.
machine-translation
60.
man-machine systems
61.
massive machine-type communication (mMTC)
62.
massive machine-type communications (mMTC)
63.
massive Machine-Type connections (mMTC)
64.
multi-class support vector machine (m-SVM)
65.
multi-machine
66.
multi-machine industrial power plant
67.
multi-machine power system
68.
multi-stream interaction machine
69.
outer-rotor machine
70.
permanent magnet (PM) synchronous machine
71.
permanent magnet flux-switching machine
72.
permanent magnet machine
73.
permanent magnet synchronous machine (PMSM)
74.
sewing machine operator
75.
state machine
76.
support vector machine
77.
surface permanent magnet machine (SPM)
78.
switched reluctance machine
79.
switched reluctance machine (SRM)
80.
synchronous machine
81.
TBM (tunnel boring machine)
82.
totally enclosed fan-cooled machine
83.
universal friction machine
84.
virtual synchronous machine
85.
active blended learning
86.
active learning
87.
active learning methods
88.
algorithm controlling the learning process
89.
appetitive associative learning
90.
approach to learning
91.
Attitude to learning
92.
authoritarian learning
93.
automata learning
94.
BIM-enabled learning
95.
BIM-enabled learning environment
96.
blended learning
97.
business school as learning organization
98.
business school learning organization questionnaire (BSLOQ)
99.
business school learning rate dependence on GPD
100.
business school learning rate measurement instrument
101.
client learning
102.
Collaborative e-learning
103.
collaborative learning
104.
competence based learning
105.
competence learning
106.
competence-based learning
107.
competency based learning
108.
Component organised learning (COL)
109.
computer assisted language learning
110.
computer based learning
111.
computer-assisted language learning (CALL)
112.
cooperative reinforcement learning
113.
coping with online teaching and learning
114.
customer learning
115.
deep learning
116.
deep learning (DL)
117.
deep learning classifier
118.
deep learning model
119.
deep learning model quantization
120.
deep learning network
121.
deep reinforcement learning
122.
Deep reinforcing learning SDN
123.
Deep-learning
124.
deep-learning (DL)
125.
dictionary learning
126.
digital learning module
127.
Dimensions of Learning Organisation Questionnaire (DLOQ)
128.
distance learning
129.
distant learning
130.
distributed independent reinforcement learning
131.
double Q-learning
132.
effective teaching and learning
133.
e-learning
134.
e‐learning
135.
e-Learning course
136.
e-Learning database
137.
e-learning environment
138.
electronic learning
139.
embedded deep learning
140.
Emergency remote learning
141.
ensemble learning
142.
enterprising and entrepreneurial learning
143.
entrepreneurial learning
144.
entrepreneurial teaching and learning
145.
experiential learning
146.
Federated learning
147.
federated learning (FL)
148.
flexible learning
149.
game based learning
150.
game-based learning
151.
guided in-service learning
152.
hands-on-learning
153.
history learning
154.
hybrid learning
155.
incremental learning
156.
inductive learning
157.
inductive learning algorithm
158.
interactive learning objects
159.
interdisciplinary learning
160.
inverse reinforcement learning
161.
investor learning
162.
iterative learning
163.
Learner-centered learning environment
164.
learning
165.
learning (artificial intelligence)
166.
learning activities
167.
learning adaptation in autonomous vehicles
168.
learning algorithm
169.
learning analysis
170.
learning analytics
171.
learning and experimentation
172.
learning and health outcomes
173.
learning and memory
174.
learning business school
175.
learning by teaching
176.
learning concept
177.
learning design
178.
learning difficulties
179.
Learning environment
180.
learning experience
181.
learning infrastructures
182.
Learning Lab
183.
learning management
184.
learning management system
185.
learning management systems
186.
learning methodology
187.
learning metrics
188.
learning models
189.
learning motivation
190.
learning objectives
191.
learning objects
192.
learning organization
193.
learning orientation
194.
learning outcomes
195.
learning process
196.
learning processes
197.
learning rate
198.
learning rate dependence on ownership form
199.
learning rate of organization
200.
learning region
201.
learning situation
202.
learning software agents
203.
learning styles
204.
learning systems
205.
learning technologies
206.
learning theories
207.
learning through the questionnaires
208.
learning university
209.
learning-to-rank
210.
lifelong learning
211.
mathematics students learning habits
212.
Meaningful learning
213.
measuring learning
214.
mobile learning
215.
model learning
216.
Multi-agent reinforcement learning
217.
mutual learning
218.
new learning models
219.
node embedding learning
220.
NREN e-learning
221.
on-device transfer learning
222.
online learning
223.
ontologies for learning systems
224.
ontology learning
225.
organisational learning
226.
organizational learning
227.
organizational learning measurement instruments
228.
organizational learning rate dependence on management
229.
organizational learning rate measurement
230.
outcome oriented learning
231.
peer‐to‐peer learning group
232.
personalised learning
233.
policy learning
234.
problem-based learning
235.
Problem-based learning (PBL)
236.
project learning
237.
project-based learning
238.
Q-learning
239.
Q-learning algorithm
240.
query learning
241.
regional learning
242.
reinforcement learning
243.
Reinforcement Learning (RL)
244.
relative learning performance
245.
Remote learning
246.
research-oriented learning
247.
reusable learning objects
248.
scholarship of teaching and learning
249.
self learning software
250.
self learning system
251.
self-learning
252.
self-regulated learning
253.
semi-supervised learning
254.
smart learning
255.
smart learning environment
256.
social learning
257.
stochastic learning theory
258.
supervised learning
259.
supervised learning data
260.
task based learning
261.
team learning
262.
Technological learning
263.
technology-enhanced learning
264.
the dimensions of the learning organisation
265.
the dimensions of the learning organization questionnaire (DLOQ)
266.
tools for interactive learning and teaching
267.
trans-disciplinary social-learning
268.
transfer learning
269.
true online reinforcement learning
270.
ubiquitous learning
271.
unsupervised learning
272.
urban learning center
273.
value of learning
274.
web and computerbased learning
275.
Web and computer-based learning
276.
virtual learning environment
277.
virtual learning factory
278.
work-based learning
279.
workplace learning
author
1
1.
ELIXIR Machine Learning Focus Group
subject term
1
1.
UNDP Urban Learning Center
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