Krisztián Búza

According to our database, Krisztián Búza authored at least 57 papers between 2008 and 2023.

Collaborative distances:

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

2023

A Simple and Effective Classifier for the Detection of Schizophrenia and Bipolar Disorder based on Heart Rate Variability Time Series.

Krisztián Búza, Kamil Ksiazek, Wilhelm Masarczyk, Przemyslaw Glomb, Piotr Gorczyca, Magdalena Piegza

Proceedings of the 23rd Conference Information Technologies, 2023

Sparsity-Invariant Convolution for Forecasting Irregularly Sampled Time Series.

Krisztián Búza

Proceedings of the Computational Collective Intelligence - 15th International Conference, 2023

2022

Person Authentication using Visual Representations of Keyboard Typing Dynamics.

Ladislav Peska, Patrik Veselý, Tomás Skopal, Krisztián Búza

Proceedings of the Ninth International Conference on Social Networks Analysis, 2022

Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation.

Kamil Ksiazek, Przemyslaw Glomb, Michal Romaszewski, Michal Cholewa, Bartosz Grabowski, Krisztián Búza

Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Improving Autoencoders Performance for Hyperspectral Unmixing Using Clustering.

Bartosz Grabowski, Przemyslaw Glomb, Kamil Ksiazek, Krisztián Búza

Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2022

2021

SapiAgent: A Bot Based on Deep Learning to Generate Human-Like Mouse Trajectories.

Margit Antal, Krisztián Búza, Norbert Fejér

IEEE Access, 2021

medR: Software System for Managing Medical History and Patient Examination Data.

Anita-Bella Réthi, Krisztian Antal Buza, Orsolya Máthé, Mátyás Fosztó, Tamás Koncz, Károly Simon

Proceedings of the 19th IEEE International Symposium on Intelligent Systems and Informatics, 2021

SapiMouse: Mouse Dynamics-based User Authentication Using Deep Feature Learning.

Margit Antal, Norbert Fejér, Krisztián Búza

Proceedings of the 15th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2021

Convolutional Neural Networks with Dynamic Convolution for Time Series Classification.

Krisztián Búza, Margit Antal

Proceedings of the Advances in Computational Collective Intelligence, 2021

2020

IT Ticket Classification: The Simpler, the Better.

Aleksandra Revina, Krisztián Búza, Vera G. Meister

IEEE Access, 2020

ASTERICS: Projection-based Classification of EEG with Asymmetric Loss Linear Regression and Genetic Algorithm.

Krisztián Búza

Proceedings of the 14th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2020

Speeding up the SUCCESS Approach for Massive Industrial Datasets.

Krisztián Búza, Aleksandra Revina

Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2020

2019

Encouraging an Appropriate Representation Simplifies Training of Neural Networks.

Krisztián Búza

CoRR, 2019

Extreme Learning Machines with Regularization for the Classification of Gene Expression Data.

Dániel T. Várkonyi, Krisztián Búza

Proceedings of the 19th Conference Information Technologies, 2019

The Warping Window Size Effects the Accuracy of Person Identification based on Keystroke Dynamics.

Zakarya Farou, Krisztián Búza

Proceedings of the 19th Conference Information Technologies, 2019

Factorization Machines for Blog Feedback Prediction.

Krisztián Búza, Tomás Horváth

Proceedings of the Progress in Computer Recognition Systems, 2019

2018

Feature Selection with a Genetic Algorithm for Classification of Brain Imaging Data.

Annamária Szenkovits, Regina Meszlényi, Krisztián Búza, Noémi Gaskó, Rodica Ioana Lung, Mihai Suciu

Proceedings of the Advances in Feature Selection for Data and Pattern Recognition, 2018

Time Series Classification and its Applications.

Krisztián Búza

Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics, 2018

2017

Drug-target interaction prediction with Bipartite Local Models and hubness-aware regression.

Krisztián Búza, Ladislav Peska

Neurocomputing, 2017

Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture.

Regina Meszlényi, Krisztián Búza, Zoltán Vidnyánszky

Frontiers Neuroinformatics, 2017

Drug-target interaction prediction: A Bayesian ranking approach.

Ladislav Peska, Krisztián Búza, Júlia Koller

Comput. Methods Programs Biomed., 2017

ALADIN: A New Approach for Drug-Target Interaction Prediction.

Krisztián Búza, Ladislav Peska

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Using Echo State Networks for Cryptography.

Rajkumar Ramamurthy, Christian Bauckhage, Krisztián Búza, Stefan Wrobel

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Projection-Based Person Identification.

Dóra Neubrandt, Krisztián Búza

Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, 2017

Towards Privacy-Aware Keyboards.

Krisztián Búza, Piroska B. Kis

Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, 2017

2016

Correcting the hub occurrence prediction bias in many dimensions.

Nenad Tomasev, Krisztián Búza, Dunja Mladenic

Comput. Sci. Inf. Syst., 2016

Classification of gene expression data: A hubness-aware semi-supervised approach.

Krisztián Búza

Comput. Methods Programs Biomed., 2016

ParkinsoNET: Estimation of UPDRS Score Using Hubness-Aware Feedforward Neural Networks.

Krisztián Búza, Noémi Ágnes Varga

Appl. Artif. Intell., 2016

How you type is who you are.

Krisztián Búza, Dóra Neubrandt

Proceedings of the 11th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2016

Drug-target interaction prediction with hubness-aware machine learning.

Krisztián Búza

Proceedings of the 11th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2016

Community Structure Detection for the Functional Connectivity Networks of the Brain.

Rodica Ioana Lung, Mihai Suciu, Regina Meszlényi, Krisztián Búza, Noémi Gaskó

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Classification of fMRI data using dynamic time warping based functional connectivity analysis.

Regina Meszlényi, Ladislav Peska, Viktor Gál, Zoltán Vidnyánszky, Krisztián Búza

Proceedings of the 24th European Signal Processing Conference, 2016

A Model for Classification Based on the Functional Connectivity Pattern Dynamics of the Brain.

Regina Meszlényi, Ladislav Peska, Viktor Gál, Zoltán Vidnyánszky, Krisztián Búza

Proceedings of the Third European Network Intelligence Conference, 2016

Person Identification Based on Keystroke Dynamics: Demo and Open Challenge.

Krisztián Búza

Proceedings of the CAiSE'16 Forum, 2016

2015

Hubness-Aware Classification, Instance Selection and Feature Construction: Survey and Extensions to Time-Series.

Nenad Tomasev, Krisztián Búza, Kristóf Marussy, Piroska B. Kis

Proceedings of the Feature Selection for Data and Pattern Recognition, 2015

Nearest neighbor regression in the presence of bad hubs.

Krisztián Búza, Alexandros Nanopoulos, Gábor I. Nagy

Knowl. Based Syst., 2015

Hubness-aware kNN classification of high-dimensional data in presence of label noise.

Nenad Tomasev, Krisztián Búza

Neurocomputing, 2015

PROCESS: Projection-Based Classification of Electroencephalograph Signals.

Krisztián Búza, Júlia Koller, Kristóf Marussy

Proceedings of the Artificial Intelligence and Soft Computing, 2015

Semi-supervised Naive Hubness Bayesian k-Nearest Neighbor for Gene Expression Data.

Krisztián Búza

Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

2014

BlogFeedback.

Krisztián Búza

Dataset, May, 2014

Storage-optimizing clustering algorithms for high-dimensional tick data.

Krisztián Búza, Gábor I. Nagy, Alexandros Nanopoulos

Expert Syst. Appl., 2014

2013

SUCCESS: A New Approach for Semi-supervised Classification of Time-Series.

Kristóf Marussy, Krisztián Búza

Proceedings of the Artificial Intelligence and Soft Computing, 2013

2012

GRAMOFON: General model-selection framework based on networks.

Krisztián Búza, Alexandros Nanopoulos, Tomás Horváth, Lars Schmidt-Thieme

Neurocomputing, 2012

SOHAC: Efficient Storage of Tick Data That Supports Search and Analysis.

Gábor I. Nagy, Krisztián Búza

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2012

Feedback Prediction for Blogs.

Krisztián Búza

Proceedings of the Data Analysis, Machine Learning and Knowledge Discovery, 2012

2011

Fusion Methods for Time-Series Classification.

Krisztian Antal Buza

PhD thesis, 2011

INSIGHT: Efficient and Effective Instance Selection for Time-Series Classification.

Krisztián Búza, Alexandros Nanopoulos, Lars Schmidt-Thieme

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Scalable Event-Based Clustering of Social Media Via Record Linkage Techniques.

Timo Reuter, Philipp Cimiano, Lucas Drumond, Krisztián Búza, Lars Schmidt-Thieme

Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

A Distributed Genetic Algorithm for Graph-Based Clustering.

Krisztián Búza, Antal Buza, Piroska B. Kis

Proceedings of the Man-Machine Interactions 2, 2011

Fast Classification of Electrocardiograph Signals via Instance Selection.

Krisztián Búza, Alexandros Nanopoulos, Lars Schmidt-Thieme, Júlia Koller

Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011

Fusion of Similarity Measures for Time Series Classification.

Krisztián Búza, Alexandros Nanopoulos, Lars Schmidt-Thieme

Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

IQ estimation for accurate time-series classification.

Krisztián Búza, Alexandros Nanopoulos, Lars Schmidt-Thieme

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

2010

Graph-Based Model-Selection Framework for Large Ensembles.

Krisztián Búza, Alexandros Nanopoulos, Lars Schmidt-Thieme

Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Individualized Error Estimation for Classification and Regression Models.

Krisztián Búza, Alexandros Nanopoulos, Lars Schmidt-Thieme

Proceedings of the Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21, 2010

Time-Series Classification Based on Individualised Error Prediction.

Krisztián Búza, Alexandros Nanopoulos, Lars Schmidt-Thieme

Proceedings of the 13th IEEE International Conference on Computational Science and Engineering, 2010

2008

Folksonomy-Based Collabulary Learning.

Leandro Balby Marinho, Krisztián Búza, Lars Schmidt-Thieme

Proceedings of the Semantic Web - ISWC 2008, 7th International Semantic Web Conference, 2008

Motif-Based Classification of Time Series with Bayesian Networks and SVMs.

Krisztián Búza, Lars Schmidt-Thieme

Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008