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ORCIDLukás Machlica
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2020 – today
- 2021
[i5]Jan Brabec, Lukás Machlica:
Decision-forest voting scheme for classification of rare classes in network intrusion detection. CoRR abs/2107.11862 (2021)- 2020
- [c21]Jan Brabec
, Tomás Komárek, Vojtech Franc, Lukás Machlica:
On Model Evaluation Under Non-constant Class Imbalance. ICCS (4) 2020: 74-87 - [i4]Jan Brabec, Tomás Komárek, Vojtech Franc, Lukás Machlica:
On Model Evaluation under Non-constant Class Imbalance. CoRR abs/2001.05571 (2020)
2010 – 2019
- 2019
- [j1]Paul Prasse, René Knaebel, Lukás Machlica, Tomás Pevný, Tobias Scheffer:
Joint detection of malicious domains and infected clients. Mach. Learn. 108(8-9): 1353-1368 (2019) - [i3]Paul Prasse, René Knaebel, Lukás Machlica, Tomás Pevný, Tobias Scheffer:
Joint Detection of Malicious Domains and Infected Clients. CoRR abs/1906.09084 (2019) - 2018
- [c20]Jan Brabec, Lukás Machlica:
Decision-Forest Voting Scheme for Classification of Rare Classes in Network Intrusion Detection. SMC 2018: 3325-3330 - [i2]Jan Brabec, Lukás Machlica:
Bad practices in evaluation methodology relevant to class-imbalanced problems. CoRR abs/1812.01388 (2018) - 2017
- [c19]Paul Prasse, Lukás Machlica, Tomás Pevný, Jirí Havelka, Tobias Scheffer:
Malware Detection by Analysing Encrypted Network Traffic with Neural Networks. ECML/PKDD (2) 2017: 73-88 - [c18]Paul Prasse, Lukás Machlica, Tomás Pevný, Jirí Havelka, Tobias Scheffer:
Malware Detection by Analysing Network Traffic with Neural Networks. IEEE Symposium on Security and Privacy Workshops 2017: 205-210 - [i1]Lukás Machlica, Karel Bartos, Michal Sofka:
Learning detectors of malicious web requests for intrusion detection in network traffic. CoRR abs/1702.02530 (2017) - 2013
- [c17]Jan Vanek, Lukás Machlica, Josef Psutka:
Estimation of Single-Gaussian and Gaussian Mixture Models for Pattern Recognition. CIARP (1) 2013: 49-56 - [c16]Lukás Machlica, Zbynek Zajíc:
An efficient implementation of Probabilistic Linear Discriminant Analysis. ICASSP 2013: 7678-7682 - [c15]Jan Vanek, Lukás Machlica, Josef V. Psutka, Josef Psutka:
Covariance Matrix Enhancement Approach to Train Robust Gaussian Mixture Models of Speech Data. SPECOM 2013: 92-99 - [c14]Lukás Machlica:
Dealing with Diverse Data Variances in Factor Analysis Based Methods. SPECOM 2013: 100-107 - [c13]Lukás Machlica, Vlasta Radová:
On Behaviour of PLDA Models in the Task of Speaker Recognition. TSD 2013: 352-359 - 2012
- [c12]Lukás Machlica, Zbynek Zajíc:
Factor Analysis and Nuisance Attribute Projection Revisited. INTERSPEECH 2012: 1572-1575 - [c11]Lukás Machlica, Zbynek Zajíc, Ludek Müller:
On complementarity of state-of-the-art speaker recognition systems. ISSPIT 2012: 164-169 - [c10]Lukás Machlica, Zbynek Zajíc:
Analysis of the Influence of Speech Corpora in the PLDA Verification in the Task of Speaker Recognition. TSD 2012: 464-471 - [c9]Zbynek Zajíc, Lukás Machlica, Ludek Müller:
Robust Adaptation Techniques Dealing with Small Amount of Data. TSD 2012: 480-487 - 2011
- [c8]Lukás Machlica, Jan Vanek, Zbynek Zajíc:
Fast Estimation of Gaussian Mixture Model Parameters on GPU Using CUDA. PDCAT 2011: 167-172 - [c7]Zbynek Zajíc, Lukás Machlica, Ludek Müller:
Initialization of fMLLR with Sufficient Statistics from Similar Speakers. TSD 2011: 187-194 - 2010
- [c6]Sébastien Marcel, Chris McCool, Pavel Matejka, Timo Ahonen, Jan Cernocký, Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan, Chi-Ho Chan, Josef Kittler, Norman Poh, Benoit G. B. Fauve, Ondrej Glembek, Oldrich Plchot, Zdenek Jancik, Anthony Larcher, Christophe Lévy, Driss Matrouf, Jean-François Bonastre, Ping-Han Lee, Jui-Yu Hung, Si-Wei Wu, Yi-Ping Hung, Lukás Machlica, John S. D. Mason, Sandra Mau, Conrad Sanderson, David Monzo, Antonio Albiol, Hieu V. Nguyen, Li Bai, Yan Wang, Matti Niskanen, Markus Turtinen, Juan Arturo Nolazco-Flores, L. Paola García-Perera, Roberto Aceves-Lopez, Mauricio Villegas, Roberto Paredes:
On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation. ICPR Contests 2010: 210-225 - [c5]Lukás Machlica, Zbynek Zajíc, Ludek Müller:
Discriminative adaptation based on fast combination of DMAP and dfMLLR. INTERSPEECH 2010: 534-537 - [c4]Zbynek Zajíc, Lukás Machlica, Ludek Müller:
Robust Statistic Estimates for Adaptation in the Task of Speech Recognition. TSD 2010: 464-471
2000 – 2009
- 2009
- [c3]Ales Prazák, Zbynek Zajíc, Lukás Machlica, Josef V. Psutka:
Fast Speaker Adaptation in Automatic Online Subtitling. SIGMAP 2009: 126-130 - [c2]Zbynek Zajíc, Lukás Machlica, Ludek Müller:
Refinement Approach for Adaptation Based on Combination of MAP and fMLLR. TSD 2009: 274-281 - 2008
- [c1]Zbynek Zajíc, Lukás Machlica, Ales Padrta, Jan Vanek, Vlasta Radová:
An expert system in speaker verification task. INTERSPEECH 2008: 355-358
Coauthor Index
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