Lukás Adam

According to our database, Lukás Adam authored at least 31 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Postfault Operation Strategy for Cascaded H-Bridge Inverters Driving a Multiphase Motor.

Óscar Lopez, Tomás Komrska, Jacobo Álvarez, Lukás Adam, Alejandro G. Yepes, Martín Medina-Sánchez, Jesús Doval-Gandoy

IEEE Trans. Ind. Electron., May, 2024

WildFusion: Individual Animal Identification with Calibrated Similarity Fusion.

Vojtech Cermák, Lukás Picek, Lukás Adam, Lukás Neumann, Jirí Matas

CoRR, 2024

WildlifeReID-10k: Wildlife re-identification dataset with 10k individual animals.

Lukás Adam, Vojtech Cermák, Kostas Papafitsoros, Lukás Picek

CoRR, 2024

WildlifeDatasets: An open-source toolkit for animal re-identification.

Vojtech Cermák, Lukás Picek, Lukás Adam, Kostas Papafitsoros

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identification.

Lukás Adam, Vojtech Cermák, Kostas Papafitsoros, Lukás Picek

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Multiphase Converter Voltage Optimization With Minimum Effort Principle.

Tomás Komrska, Lukás Adam, Zdenek Peroutka

IEEE Trans. Ind. Electron., July, 2023

Optimal Current Setpoints for Five-Phase Synchronous Drive.

Jan Laksar, Václav Smídl, Tomás Komrska, Lukás Adam

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

2022

General framework for binary classification on top samples.

Lukás Adam, Václav Mácha, Václav Smídl, Tomás Pevný

Optim. Methods Softw., 2022

Projections onto the canonical simplex with additional linear inequalities.

Lukás Adam, Václav Mácha

Optim. Methods Softw., 2022

SeaTurtleID: A novel long-span dataset highlighting the importance of timestamps in wildlife re-identification.

Kostas Papafitsoros, Lukás Adam, Vojtech Cermák, Lukás Picek

CoRR, 2022

Adversarial Examples by Perturbing High-level Features in Intermediate Decoder Layers.

Vojtech Cermák, Lukás Adam

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

2021

Double Oracle Algorithm for Computing Equilibria in Continuous Games.

Lukás Adam, Rostislav Horcík, Tomás Kasl, Tomás Kroupa

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Gene set inference from single-cell sequencing data using a hybrid of matrix factorization and variational autoencoders.

Soeren Lukassen, Foo Wei Ten, Lukás Adam, Roland Eils, Christian Conrad

Nat. Mach. Intell., 2020

Solvability of the Power Flow Problem in DC Overhead Wire Circuit.

Jakub Sevcik, Lukás Adam, Jan Prikryl, Václav Smídl

CoRR, 2020

DeepTopPush: Simple and Scalable Method for Accuracy at the Top.

Lukás Adam, Václav Mácha, Václav Smídl

CoRR, 2020

Nonlinear classifiers for ranking problems based on kernelized SVM.

Václav Mácha, Lukás Adam, Václav Smídl

CoRR, 2020

Solving joint chance constrained problems using regularization and Benders' decomposition.

Lukás Adam, Martin Branda, Holger Heitsch, René Henrion

Ann. Oper. Res., 2020

Hypervolume Optimal μ-Distributions on Line-Based Pareto Fronts in Three Dimensions.

Ke Shang, Hisao Ishibuchi, Weiyu Chen, Lukás Adam

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

2019

Optimization of a Multiphysics Problem in Semiconductor Laser Design.

Lukás Adam, Michael Hintermüller, Dirk Peschka, Thomas M. Surowiec

SIAM J. Appl. Math., 2019

Publisher Correction: Leveraging implicit knowledge in neural networks for functional dissection and engineering of proteins.

Julius Upmeier zu Belzen, Thore Bürgel, Stefan Holderbach, Felix Bubeck, Lukás Adam, Catharina Gandor, Marita Klein, Jan Mathony, Pauline Pfuderer, Lukas Platz, Moritz Przybilla, Max Schwendemann, Daniel Heid, Mareike Daniela Hoffmann, Michael Jendrusch, Carolin Schmelas, Max Waldhauer, Irina Lehmann, Dominik Niopek, Roland Eils

Nat. Mach. Intell., 2019

Leveraging implicit knowledge in neural networks for functional dissection and engineering of proteins.

Julius Upmeier zu Belzen, Thore Bürgel, Stefan Holderbach, Felix Bubeck, Lukás Adam, Catharina Gandor, Marita Klein, Jan Mathony, Pauline Pfuderer, Lukas Platz, Moritz Przybilla, Max Schwendemann, Daniel Heid, Mareike Daniela Hoffmann, Michael Jendrusch, Carolin Schmelas, Max Waldhauer, Irina Lehmann, Dominik Niopek, Roland Eils

Nat. Mach. Intell., 2019

A Simple Yet Effective Approach to Robust Optimization Over Time.

Lukás Adam, Xin Yao

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018

Direct Speed Control of a PMSM Drive Using SDRE and Convex Constrained Optimization.

Václav Smídl, Stepán Janous, Lukás Adam, Zdenek Peroutka

IEEE Trans. Ind. Electron., 2018

On M-stationarity conditions in MPECs and the associated qualification conditions.

Lukás Adam, René Henrion, Jirí V. Outrata

Math. Program., 2018

Group feature selection with multiclass support vector machine.

Fengzhen Tang, Lukás Adam, Bailu Si

Neurocomputing, 2018

Robust estimators based on generalization of trimmed mean.

Lukás Adam, Premysl Bejda

Commun. Stat. Simul. Comput., 2018

2017

The intermediate set and limiting superdifferential for coalitional games: between the core and the Weber set.

Lukás Adam, Tomás Kroupa

Int. J. Game Theory, 2017

2016

Nonlinear Chance Constrained Problems: Optimality Conditions, Regularization and Solvers.

Lukás Adam, Martin Branda

J. Optim. Theory Appl., 2016

Sparse optimization for inverse problems in atmospheric modelling.

Lukás Adam, Martin Branda

Environ. Model. Softw., 2016

Computing Superdifferentials of Lovász Extension with Application to Coalitional Games.

Lukás Adam, Tomás Kroupa

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

2014

Evolutionary algorithm-based multi-criteria optimization of triboelectrostatic separator.

Frantisek Mach, Lukás Adam, Jan Kacerovský, Pavel Karban, Ivo Dolezel

J. Comput. Appl. Math., 2014