Toggle navigation
Publications
Profiles
Research Groups
Indexes
Help and information
Eesti keeles
Intranet
Publications
Profiles
Research Groups
Indexes
Help and information
Eesti keeles
Intranet
Databases
Publications
Searching
My bookmarks
0
machine learning (keyword)
All fields
Source search
Author search
Subject term search
Title search
starts with
containes
exact match
All fields
Source search
Author search
Subject term search
Title search
starts with
containes
exact match
—
All fields
Source search
Author search
Subject term search
Title search
starts with
containes
exact match
—
All fields
Source search
Author search
Subject term search
Title search
starts with
containes
exact match
—
All fields
Source search
Author search
Subject term search
Title search
starts with
containes
exact match
—
Add criteria
Advanced search
filter
Clear
×
types of item
book
..
journal article
..
newspaper article
..
book article
..
dissertation
..
Open Access
..
Scientific publication
..
year
year of publication
Loading..
author
Loading..
TTÜ department
Loading..
subject term
Loading..
series
Loading..
name of the person
Loading..
keyword
Loading..
Clear
Number of records
121
Look more..
(3/289)
Export
export all inquiry results
(121)
Save TXT fail
Save PDF fail
print
Open for editing with marked entries
my bookmarks
display
Bibliographic view
Short view
sort
author ascending
author descending
year of publication ascending
year of publication descending
title ascending
title descending
1
book article
Accuracy analysis of selected time series and machine learning methods for smart cities based on Estonian electricity consumption forecast
Häring, Tobias
;
Ahmadiahangar, Roya
;
Rosin, Argo
;
Korõtko, Tarmo
;
Biechl, Helmuth
2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) : proceedings
2020
/
p. 425-428 : ill
https://doi.org/10.1109/CPE-POWERENG48600.2020.9161690
book article
2
journal article
AI applications to enhance resilience in power systems and microgrids - a review
Zahraoui, Younes
;
Korõtko, Tarmo
;
Rosin, Argo
;
Mekhilef, Saad
;
Seyedmahmoudian, Mehdi
;
Stojcevski, Alex
;
Alhamrouni, Ibrahim
Sustainability
2024
/
art. 4959
https://doi.org/10.3390/su16124959
journal article
3
journal article EST
/
journal article ENG
Anomaly detection, classification and identification Tool (ADCIT)
Asefi, Sajjad
;
Mitrovic, Mile
;
Cetenovic, Dragan
;
Levi, Victor
;
Gryazina, Elena
;
Terzija, Vladimir
Software impacts
2023
/
art. 100465, 3 p. : ill
https://doi.org/10.1016/j.simpa.2023.100465
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
4
journal article EST
/
journal article ENG
Anti-money laundering powered by graph machine learning: 'Show me your friends and I will tell you who you are'
Astrova, Irina
Intelligent decision technologies
2023
/
p. 243-261
https://doi.org/10.3233/IDT-220193
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
5
journal article EST
/
journal article ENG
Applicability of spiral drawing test for mental fatigue modelling
Senkiv, Olesja
;
Nõmm, Sven
;
Toomela, Aaro
IFAC-PapersOnLine
2019
/
p. 190-195 : ill
https://doi.org/10.1016/j.ifacol.2019.01.064
Conference proceedings at Scopus
Article at Scopus
Article at WOS
journal article EST
/
journal article ENG
6
journal article EST
/
journal article ENG
Application of artificial intelligence and machine learning for BIM : review
Bassir, David
;
Lodge, Hugo
;
Chang, Haochen
;
Majak, Jüri
;
Chen, Gonfa
International journal for simulation and multidisciplinary design optimization
2023
/
art. 5
https://doi.org/10.1051/smdo/2023005
Journal metrics at Scopus
Article at Scopus
journal article EST
/
journal article ENG
7
journal article EST
/
journal article ENG
Application of machine learning for assessment of HS code correctness
Spitšakova, Margarita
;
Haav, Hele-Mai
Baltic journal of modern computing
2020
/
p. 698-718
https://doi.org/10.22364/bjmc.2020.8.4.13
Journal Metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
8
book article
Applying machine learning with satellite altimetry data for prediction of absolute dynamic topography for the Baltic Sea
Mostafavi, Majid
;
Delpeche-Ellmann, Nicole Camille
;
Ellmann, Artu
Nordic Geodetic Commission General Assembly 2022 in Copenhagen : Poster Session
2022
/
26 l.
https://medialib.cmcdn.dk/medialibrary/010C1367-E991-4A33-AB10-1953247E9C23/530AEABD-3A25-ED11-84B6-00155D0B0940.pdf
book article
9
book article
Artificial intelligence and education
Jaakkola, Hannu
;
Henno, Jaak
;
Lahti, J-P.
;
Järvinen, Raimo
;
Mäkelainen, Jukka
2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), 28 Sept.-2 Oct. 2020, Opatija, Croatia : proceedings
2020
/
p. 548-555
https://doi.org/10.23919/MIPRO48935.2020.9245329
book article
10
journal article EST
/
journal article ENG
Artificial intelligence and the GDPR : Inevitable nemeses?
Kesa, Aleksandr
;
Kerikmäe, Tanel
TalTech journal of European studies
2020
/
p. 68-90
https://doi.org/10.1515/bjes-2020-0022
https://content.sciendo.com/view/journals/bjes/bjes-overview.xml?tab_body=latestIssueToc-79907
https://www.ester.ee/record=b5290032*est
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
11
book article
Artificial intelligence in monitoring and diagnostics of electrical energy conversion systems
Vaimann, Toomas
;
Rassõlkin, Anton
;
Kallaste, Ants
;
Pomarnacki, Raimondas
;
Belahcen, Anouar
;
Van Khang, Hyunh
2020 27th International Workshop on Electric Drives: MPEI Department of Electric Drives 90th Anniversary (IWED), Moscow, Russia, January 27-30, 2020
2020
/
4 p
https://doi.org/10.1109/IWED48848.2020.9069566
book article
12
book article
Artificial intelligence within the military domain and cyber warfare
Hallaq, Bil
;
Sõmer, Tiia
;
Osula, Anna-Maria
;
Ngo, Kim
;
Mitchener-Nissen, Timothy
Proceedings of the 16th European Conference on Cyber Warfare and Security, ECCWS 2017 : hosted by University College Dublin, Ireland, 29-30 June 2017
2017
/
p. 153-156
https://www.scopus.com/record/display.uri?eid=2-s2.0-85028013021&origin=resultslist&zone=contextBox
book article
13
journal article EST
/
journal article ENG
Artificial lateral line for aquatic habitat modelling: An example for Lefua echigonia
Garcia-Vega, Ana
;
Fuentes-Perez, Juan Francisco
;
Fukuda, Shinji
;
Kruusmaa, Maarja
;
Sanz-Ronda, Francisco Javier
;
Tuhtan, Jeffrey Andrew
Ecological Informatics
2021
/
art. 101388
https://doi.org/10.1016/j.ecoinf.2021.101388
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
14
journal article EST
/
journal article ENG
A Bayesian optimization approach for calibrating large-scale activity-based transport models
Agriesti, Serio
;
Kuzmanovski, Vladimir
;
Hollmen, Jaakko
;
Roncoli, Claudio
;
Nahmias-Biran, Bat-Hen
IEEE Open Journal of Intelligent Transportation Systems
2023
/
p. 740 - 754
https://doi.org/10.1109/OJITS.2023.3321110
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
15
journal article EST
/
journal article ENG
Behavioural compass : animal behaviour recognition using magnetometers
Chakravarty, Pritish
;
Maalberg, Maiki
;
Cozzi, Gabriele
;
Ozgul, Arpat
;
Aminian, Kamiar
Movement Ecology
2019
/
Art. nr. 28
https://doi.org/10.1186/s40462-019-0172-6
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
16
book article
CapsNet on embedded devices in a data scarce scenario
Ezechukwu, Dismas Ndubuis
;
Le Moullec, Yannick
2022 18th Biennial Baltic Electronics Conference (BEC)
2022
/
6 l.
https://doi.org/10.1109/BEC56180.2022.9935600
book article
17
journal article
Comparison of Bayesian and particle swarm algorithms for hyperparameter optimisation in machine learning applications in high energy physics
Tani, Laurits
;
Veelken, Christian
Computer physics communications
2024
/
p. 108955
https://doi.org/10.1016/j.cpc.2023.108955
journal article
18
journal article
Comparison of Bayesian and particle swarm algorithms for hyperparameter optimisation in machine learning applications in high energy physics : [preprint]
Tani, Laurits
;
Veelken, Christian
arXiv.org
2024
/
8 p. : ill
https://doi.org/10.48550/arXiv.2201.06809
journal article
19
book article
Comparison of machine learning based methods for residential load forecasting
Shabbir, Noman
;
Ahmadiahangar, Roya
;
Kütt, Lauri
;
Rosin, Argo
2019 Electric Power Quality and Supply Reliability Conference (PQ) & 2019 Symposium on Electrical Engineering and Mechatronics (SEEM), Kärdla, Estonia, June 12-15, 2019 : proceedings
2019
/
4 p. : ill
https://doi.org/10.1109/PQ.2019.8818267
book article
20
book article
Custom simplified machine learning algorithms for fault diagnosis in electrical machines
Raja, Hadi Ashraf
;
Asad, Bilal
;
Vaimann, Toomas
;
Kallaste, Ants
;
Rassõlkin, Anton
;
Belahcen, Anouar
Diagnostika '22 : 2022 International Conference on Diagnostics in Electrical Engineering : Conference proceedings
2022
/
4 p.
https://doi.org/10.1109/Diagnostika55131.2022.9905174
book article
Seotud publikatsioonid
1
IoT based tools and methods for electrical machine diagnostics = Asjade interneti põhised tööriistad ja meetodid elektrimasinate diagnostikaks
21
book article
Data science-based techniques for modelling and diagnostics of battery cells based on end-of-life criteria
Gilbert Zequera, Rolando Antonio
;
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
22
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
23
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
Seotud publikatsioonid
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
24
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
Seotud publikatsioonid
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
25
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
Number of records 121, displaying
1 - 25
previous
1
2
3
4
5
next
keyword
287
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 interactions
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 communication (mMTC)
63.
massive machine-type communications (mMTC)
64.
massive Machine-Type connections (mMTC)
65.
multi-class support vector machine (m-SVM)
66.
multi-machine
67.
multi-machine industrial power plant
68.
multi-machine power system
69.
multi-stream interaction machine
70.
neural machine translation
71.
outer-rotor machine
72.
permanent magnet (PM) synchronous machine
73.
permanent magnet flux-switching machine
74.
permanent magnet machine
75.
permanent magnet synchronous machine (PMSM)
76.
reluctance machine
77.
sewing machine operator
78.
state machine
79.
support vector machine
80.
surface permanent magnet machine (SPM)
81.
switched reluctance machine
82.
switched reluctance machine (SRM)
83.
synchronous machine
84.
TBM (tunnel boring machine)
85.
totally enclosed fan-cooled machine
86.
universal friction machine
87.
virtual synchronous machine
88.
active blended learning
89.
active learning
90.
active learning methods
91.
algorithm controlling the learning process
92.
appetitive associative learning
93.
approach to learning
94.
Attitude to learning
95.
authoritarian learning
96.
automata learning
97.
BIM-enabled learning
98.
BIM-enabled learning environment
99.
blended learning
100.
business school as learning organization
101.
business school learning organization questionnaire (BSLOQ)
102.
business school learning rate dependence on GPD
103.
business school learning rate measurement instrument
104.
client learning
105.
Collaborative e-learning
106.
collaborative learning
107.
competence based learning
108.
competence learning
109.
competence-based learning
110.
competency based learning
111.
Component organised learning (COL)
112.
computer assisted language learning
113.
computer based learning
114.
computer-assisted language learning (CALL)
115.
cooperative reinforcement learning
116.
coping with online teaching and learning
117.
customer learning
118.
deep learning
119.
deep learning (DL)
120.
deep learning classifier
121.
deep learning model
122.
deep learning model quantization
123.
deep learning network
124.
deep reinforcement learning
125.
Deep reinforcing learning SDN
126.
Deep-learning
127.
deep-learning (DL)
128.
dictionary learning
129.
digital learning module
130.
digital remote learning
131.
Dimensions of Learning Organisation Questionnaire (DLOQ)
132.
distance learning
133.
distant learning
134.
distributed independent reinforcement learning
135.
double Q-learning
136.
effective teaching and learning
137.
e-learning
138.
e‐learning
139.
e-Learning course
140.
e-Learning database
141.
e-learning environment
142.
electronic learning
143.
embedded deep learning
144.
Emergency remote learning
145.
ensemble learning
146.
enterprising and entrepreneurial learning
147.
entrepreneurial learning
148.
entrepreneurial teaching and learning
149.
experiential learning
150.
Federated learning
151.
federated learning (FL)
152.
flexible learning
153.
game based learning
154.
game-based learning
155.
guided in-service learning
156.
hands-on-learning
157.
history learning
158.
horizontal federated learning
159.
hybrid learning
160.
incremental learning
161.
inductive learning
162.
inductive learning algorithm
163.
interactive learning objects
164.
interdisciplinary learning
165.
inverse reinforcement learning
166.
investor learning
167.
iterative learning
168.
Kolb’s experiential learning cycle
169.
Learner-centered learning environment
170.
learning
171.
learning (artificial intelligence)
172.
learning activities
173.
learning adaptation in autonomous vehicles
174.
learning algorithm
175.
learning analysis
176.
learning analytics
177.
learning and experimentation
178.
learning and health outcomes
179.
learning and memory
180.
learning business school
181.
learning by teaching
182.
learning concept
183.
learning design
184.
learning difficulties
185.
Learning environment
186.
learning experience
187.
learning infrastructures
188.
Learning Lab
189.
learning management
190.
learning management system
191.
learning management systems
192.
learning methodology
193.
learning metrics
194.
learning models
195.
learning motivation
196.
learning objectives
197.
learning objects
198.
learning organization
199.
learning orientation
200.
learning outcomes
201.
learning process
202.
learning processes
203.
learning rate
204.
learning rate dependence on ownership form
205.
learning rate of organization
206.
learning region
207.
learning situation
208.
learning software agents
209.
learning styles
210.
learning systems
211.
learning technologies
212.
learning theories
213.
learning through the questionnaires
214.
learning university
215.
learning-to-rank
216.
lifelong learning
217.
mathematics students learning habits
218.
Meaningful learning
219.
measuring learning
220.
mobile learning
221.
model learning
222.
Multi-agent reinforcement learning
223.
mutual learning
224.
new learning models
225.
node embedding learning
226.
NREN e-learning
227.
on-device transfer learning
228.
online learning
229.
ontologies for learning systems
230.
ontology learning
231.
organisational learning
232.
organizational learning
233.
organizational learning measurement instruments
234.
organizational learning rate dependence on management
235.
organizational learning rate measurement
236.
outcome oriented learning
237.
peer‐to‐peer learning group
238.
personalised learning
239.
policy learning
240.
problem-based learning
241.
Problem-based learning (PBL)
242.
project learning
243.
project-based learning
244.
Q-learning
245.
Q-learning algorithm
246.
query learning
247.
regional learning
248.
reinforcement learning
249.
Reinforcement Learning (RL)
250.
relative learning performance
251.
Remote learning
252.
research-oriented learning
253.
reusable learning objects
254.
scholarship of teaching and learning
255.
self learning software
256.
self learning system
257.
self-learning
258.
self-regulated learning
259.
semi-supervised learning
260.
smart learning
261.
smart learning environment
262.
social learning
263.
stochastic learning theory
264.
supervised learning
265.
supervised learning data
266.
zero-shot learning
267.
task based learning
268.
team learning
269.
Technological learning
270.
technology-enhanced learning
271.
the dimensions of the learning organisation
272.
the dimensions of the learning organization questionnaire (DLOQ)
273.
tools for interactive learning and teaching
274.
trans-disciplinary social-learning
275.
transfer learning
276.
true online reinforcement learning
277.
ubiquitous learning
278.
unsupervised learning
279.
urban learning center
280.
value of learning
281.
web and computerbased learning
282.
Web and computer-based learning
283.
virtual collaborative learning environment (VCLE)
284.
virtual learning environment
285.
virtual learning factory
286.
work-based learning
287.
workplace learning
author
1
1.
ELIXIR Machine Learning Focus Group
subject term
1
1.
UNDP Urban Learning Center
×
match
starts with
ends with
containes
sort
Relevance
ascending
descending
year of publication
author
TTÜ department
subject term
series
name of the person
keyword
Otsing
Valikud
0
year of publication
AND
OR
NOT
author
AND
OR
NOT
TTÜ department
AND
OR
NOT
subject term
AND
OR
NOT
series
AND
OR
NOT
name of the person
AND
OR
NOT
keyword
AND
OR
NOT