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26
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
27
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
28
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
29
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
30
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
31
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
32
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
33
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
34
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
35
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
36
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
37
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
38
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
39
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
40
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
41
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
42
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
43
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
44
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
45
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
46
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
47
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
48
book article EST
/
book article ENG
Future opportunities for systematic AI support in healthcare
Bertl, Markus
;
Piho, Gunnar
;
Draheim, Dirk
;
Ross, Peeter
;
Pechmann, Ludwig
;
Bucciarelli, Nicholas
;
Sharma, Rahul
Bridging the Gap Between AI and Reality : First International Conference, AISoLA 2023, Crete, Greece, October 23–28, 2023, Selected Papers
2024
/
p. 203 - 224
https://doi.org/10.1007/978-3-031-73741-1_13
Conference Proceedings at Scopus
Article at Scopus
book article EST
/
book article ENG
49
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
2024
/
art. 8201104
https://doi.org/10.1109/TMAG.2023.3312267
journal article
50
journal article EST
/
journal article ENG
Harnessing graph neural networks to predict international trade flows
Sellami, Bassem
;
Ounoughi, Chahinez
;
Kalvet, Tarmo
;
Tiits, Marek
;
Rincon-Yanez, Diego
Big Data and Cognitive Computing
2024
/
art. 65
https://doi.org/10.3390/bdcc8060065
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
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312
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
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machine learning for environmental applications
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machine learning systems
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machine-learning
16.
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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.
state machine
84.
support vector machine
85.
surface permanent magnet machine (SPM)
86.
switched reluctance machine
87.
switched reluctance machine (SRM)
88.
synchronous machine
89.
TBM (tunnel boring machine)
90.
totally enclosed fan-cooled machine
91.
universal friction machine
92.
virtual synchronous machine
93.
active blended learning
94.
active learning
95.
active learning methods
96.
adaptive learning
97.
algorithm controlling the learning process
98.
appetitive associative learning
99.
approach to learning
100.
Attitude to learning
101.
authoritarian learning
102.
automata learning
103.
bayesian learning
104.
BIM-enabled learning
105.
BIM-enabled learning environment
106.
blended learning
107.
business school as learning organization
108.
business school learning organization questionnaire (BSLOQ)
109.
business school learning rate dependence on GPD
110.
business school learning rate measurement instrument
111.
challenge-based learning
112.
Challenge-Based Learning (CBL)
113.
client learning
114.
Collaborative e-learning
115.
collaborative learning
116.
competence based learning
117.
competence learning
118.
competence-based learning
119.
competency based learning
120.
Component organised learning (COL)
121.
computer assisted language learning
122.
computer based learning
123.
computer-assisted language learning (CALL)
124.
contrastive learning
125.
cooperative reinforcement learning
126.
coping with online teaching and learning
127.
customer learning
128.
deep learning
129.
deep learning (DL)
130.
deep learning classifier
131.
deep learning method
132.
deep learning methods
133.
deep learning model
134.
deep learning model quantization
135.
deep learning network
136.
deep reinforcement learning
137.
Deep reinforcing learning SDN
138.
Deep-learning
139.
deep-learning (DL)
140.
dictionary learning
141.
digital learning module
142.
digital remote learning
143.
Dimensions of Learning Organisation Questionnaire (DLOQ)
144.
distance learning
145.
distant learning
146.
distributed independent reinforcement learning
147.
double Q-learning
148.
effective teaching and learning
149.
e-learning
150.
e‐learning
151.
e-Learning course
152.
e-Learning database
153.
e-learning environment
154.
electronic learning
155.
embedded deep learning
156.
Emergency remote learning
157.
ensemble learning
158.
enterprising and entrepreneurial learning
159.
entrepreneurial learning
160.
entrepreneurial teaching and learning
161.
ESG-learning
162.
experiential learning
163.
Federated learning
164.
federated learning (FL)
165.
flexible learning
166.
game based learning
167.
game-based learning
168.
guided in-service learning
169.
hands-on-learning
170.
history learning
171.
horizontal federated learning
172.
human-centred learning
173.
hybrid learning
174.
incremental learning
175.
inductive learning
176.
inductive learning algorithm
177.
interactive learning objects
178.
interdisciplinary learning
179.
inverse reinforcement learning
180.
investor learning
181.
iterative learning
182.
Kolb’s experiential learning cycle
183.
language learning
184.
Learner-centered learning environment
185.
learning
186.
learning (artificial intelligence)
187.
learning activities
188.
learning adaptation in autonomous vehicles
189.
learning algorithm
190.
learning analysis
191.
learning analytics
192.
learning and experimentation
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learning and health outcomes
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learning and memory
195.
learning business school
196.
learning by teaching
197.
learning concept
198.
learning content
199.
learning design
200.
learning difficulties
201.
Learning environment
202.
learning experience
203.
Learning from Demonstration
204.
learning infrastructures
205.
Learning Lab
206.
learning management
207.
learning management system
208.
learning management systems
209.
learning methodology
210.
learning metrics
211.
learning models
212.
learning motivation
213.
learning objectives
214.
learning objects
215.
learning organization
216.
learning orientation
217.
learning outcomes
218.
learning process
219.
learning processes
220.
learning rate
221.
learning rate dependence on ownership form
222.
learning rate of organization
223.
learning region
224.
learning situation
225.
learning software agents
226.
learning styles
227.
learning systems
228.
learning technologies
229.
learning theories
230.
learning through the questionnaires
231.
learning university
232.
learning-to-rank
233.
lifelong learning
234.
long-short term learning
235.
mathematics students learning habits
236.
Meaningful learning
237.
measuring learning
238.
mobile learning
239.
model learning
240.
Multi-agent reinforcement learning
241.
multi-task learning
242.
mutual learning
243.
new learning models
244.
node embedding learning
245.
NREN e-learning
246.
on-device transfer learning
247.
online learning
248.
ontologies for learning systems
249.
ontology learning
250.
Open Learning Resources (OLR)
251.
organisational learning
252.
organizational learning
253.
organizational learning measurement instruments
254.
organizational learning rate dependence on management
255.
organizational learning rate measurement
256.
outcome oriented learning
257.
peer‐to‐peer learning group
258.
personalised learning
259.
policy learning
260.
problem-based learning
261.
Problem-based learning (PBL)
262.
project learning
263.
project-based learning
264.
Q-learning
265.
Q-learning algorithm
266.
query learning
267.
regional learning
268.
reinforcement learning
269.
Reinforcement Learning (RL)
270.
relative learning performance
271.
Remote learning
272.
research-oriented learning
273.
reusable learning objects
274.
scholarship of teaching and learning
275.
self learning software
276.
self learning system
277.
self-learning
278.
self-regulated learning
279.
semi-supervised learning
280.
sequence of learning activities
281.
SIS problem, learning with errors
282.
smart learning
283.
smart learning environment
284.
social learning
285.
stochastic learning theory
286.
student centred learning
287.
supervised contrastive learning
288.
supervised learning
289.
supervised learning data
290.
synchronous hybrid learning
291.
zero-shot learning
292.
task based learning
293.
team learning
294.
Technological learning
295.
technology-enhanced learning
296.
the dimensions of the learning organisation
297.
the dimensions of the learning organization questionnaire (DLOQ)
298.
tools for interactive learning and teaching
299.
trans-disciplinary social-learning
300.
transfer learning
301.
true online reinforcement learning
302.
ubiquitous learning
303.
unsupervised learning
304.
urban learning center
305.
value of learning
306.
web and computerbased learning
307.
Web and computer-based learning
308.
virtual collaborative learning environment (VCLE)
309.
virtual learning environment
310.
virtual learning factory
311.
work-based learning
312.
workplace learning
author
1
1.
ELIXIR Machine Learning Focus Group
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1
1.
UNDP Urban Learning Center
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