Krisztián Búza

62 papers A* 1A 2B 1C 2Misc 7Journal 18Unranked 29

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Conformal prediction for out-of-distribution time-series classification. Appl. Intell. Alexandros Nanopoulos, Krisztián Búza
2025	J	`jnl`	Deep learning approach for automatic assessment of schizophrenia and bipolar disorder in patients using R-R intervals. PLoS Comput. Biol. Kamil Ksiazek, Wilhelm Masarczyk, Przemyslaw Glomb, Michal Romaszewski, Krisztián Búza, Przemyslaw Sekula, Michal Cholewa, Katarzyna Kolodziej, Piotr Gorczyca, Magdalena Piegza
2024	Misc	`conf`	Activity Recognition Based on Accelerometer Data with Enhanced ROCKET Algorithm. SACI Krisztián Búza
2024	—	`conf`	Advancements in Text Subjectivity Analysis: From Simple Approaches to BERT-Based Models and Generalization Assessments. ICCCI (CCIS Volume 1) Margit Antal, Krisztián Búza, Szilárd Nemes
2024	J	`jnl`	Assessment of symptom severity in psychotic disorder patients based on heart rate variability and accelerometer mobility data. Comput. Biol. Medicine Kamil Ksiazek, Wilhelm Masarczyk, Przemyslaw Glomb, Michal Romaszewski, Iga Stoklosa, Piotr Scislo, Pawel Debski, Robert Pudlo, Krisztián Búza, Piotr Gorczyca, Magdalena Piegza
2024	—	`conf`	ROCKET with Dynamic Convolution for Time Series Classification. ICCCI (CCIS Volume 1) Krisztián Búza, Margit Antal
2023	—	`conf`	A Simple and Effective Classifier for the Detection of Schizophrenia and Bipolar Disorder based on Heart Rate Variability Time Series. ITAT Krisztián Búza, Kamil Ksiazek, Wilhelm Masarczyk, Przemyslaw Glomb, Piotr Gorczyca, Magdalena Piegza
2023	B	`conf`	Sparsity-Invariant Convolution for Forecasting Irregularly Sampled Time Series. ICCCI Krisztián Búza
2022	—	`conf`	Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation. ICIAP (1) Kamil Ksiazek, Przemyslaw Glomb, Michal Romaszewski, Michal Cholewa, Bartosz Grabowski, Krisztián Búza
2022	—	`conf`	Improving Autoencoders Performance for Hyperspectral Unmixing Using Clustering. ACIIDS (Companion) Bartosz Grabowski, Przemyslaw Glomb, Kamil Ksiazek, Krisztián Búza
2022	—	`conf`	Person Authentication using Visual Representations of Keyboard Typing Dynamics. SNAMS Ladislav Peska, Patrik Veselý, Tomás Skopal, Krisztián Búza
2021	—	`conf`	Convolutional Neural Networks with Dynamic Convolution for Time Series Classification. ICCCI (CCIS Volume) Krisztián Búza, Margit Antal
2021	J	`jnl`	SapiAgent: A Bot Based on Deep Learning to Generate Human-Like Mouse Trajectories. IEEE Access Margit Antal, Krisztián Búza, Norbert Fejér
2021	Misc	`conf`	SapiMouse: Mouse Dynamics-based User Authentication Using Deep Feature Learning. SACI Margit Antal, Norbert Fejér, Krisztián Búza
2020	Misc	`conf`	ASTERICS: Projection-based Classification of EEG with Asymmetric Loss Linear Regression and Genetic Algorithm. SACI Krisztián Búza
2020	J	`jnl`	IT Ticket Classification: The Simpler, the Better. IEEE Access Aleksandra Revina, Krisztián Búza, Vera G. Meister
2020	C	`conf`	Speeding up the SUCCESS Approach for Massive Industrial Datasets. INISTA Krisztián Búza, Aleksandra Revina
2019	J	`jnl`	Encouraging an Appropriate Representation Simplifies Training of Neural Networks. CoRR Krisztián Búza
2019	—	`conf`	Extreme Learning Machines with Regularization for the Classification of Gene Expression Data. ITAT Dániel T. Várkonyi, Krisztián Búza
2019	—	`conf`	Factorization Machines for Blog Feedback Prediction. CORES Krisztián Búza, Tomás Horváth
2019	—	`conf`	The Warping Window Size Effects the Accuracy of Person Identification based on Keystroke Dynamics. ITAT Zakarya Farou, Krisztián Búza
2018	—	`ch.`	Feature Selection with a Genetic Algorithm for Classification of Brain Imaging Data. Advances in Feature Selection for Data and Pattern Recognition Annamária Szenkovits, Regina Meszlényi, Krisztián Búza, Noémi Gaskó, Rodica Ioana Lung, Mihai Suciu
2018	—	`conf`	Time Series Classification and its Applications. WIMS Krisztián Búza
2017	—	`conf`	ALADIN: A New Approach for Drug-Target Interaction Prediction. ECML/PKDD (2) Krisztián Búza, Ladislav Peska
2017	J	`jnl`	Drug-target interaction prediction with Bipartite Local Models and hubness-aware regression. Neurocomputing Krisztián Búza, Ladislav Peska
2017	J	`jnl`	Drug-target interaction prediction: A Bayesian ranking approach. Comput. Methods Programs Biomed. Ladislav Peska, Krisztián Búza, Júlia Koller
2017	—	`conf`	Projection-Based Person Identification. CORES Dóra Neubrandt, Krisztián Búza
2017	J	`jnl`	Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture. Frontiers Neuroinformatics Regina Meszlényi, Krisztián Búza, Zoltán Vidnyánszky
2017	J	`jnl`	Resting state fMRI functional connectivity-based classification using a convolutional neural network architecture. CoRR Regina Meszlényi, Krisztián Búza, Zoltán Vidnyánszky
2017	—	`conf`	Towards Privacy-Aware Keyboards. CORES Krisztián Búza, Piroska B. Kis
2017	—	`conf`	Using Echo State Networks for Cryptography. ICANN (2) Rajkumar Ramamurthy, Christian Bauckhage, Krisztián Búza, Stefan Wrobel
2017	J	`jnl`	Using Echo State Networks for Cryptography. CoRR Rajkumar Ramamurthy, Christian Bauckhage, Krisztián Búza, Stefan Wrobel
2016	—	`conf`	A Model for Classification Based on the Functional Connectivity Pattern Dynamics of the Brain. ENIC Regina Meszlényi, Ladislav Peska, Viktor Gál, Zoltán Vidnyánszky, Krisztián Búza
2016	—	`conf`	Classification of fMRI data using dynamic time warping based functional connectivity analysis. EUSIPCO Regina Meszlényi, Ladislav Peska, Viktor Gál, Zoltán Vidnyánszky, Krisztián Búza
2016	J	`jnl`	Classification of gene expression data: A hubness-aware semi-supervised approach. Comput. Methods Programs Biomed. Krisztián Búza
2016	A	`conf`	Community Structure Detection for the Functional Connectivity Networks of the Brain. PPSN Rodica Ioana Lung, Mihai Suciu, Regina Meszlényi, Krisztián Búza, Noémi Gaskó
2016	J	`jnl`	Correcting the hub occurrence prediction bias in many dimensions. Comput. Sci. Inf. Syst. Nenad Tomasev, Krisztián Búza, Dunja Mladenic
2016	Misc	`conf`	Drug-target interaction prediction with hubness-aware machine learning. SACI Krisztián Búza
2016	Misc	`conf`	How you type is who you are. SACI Krisztián Búza, Dóra Neubrandt
2016	J	`jnl`	ParkinsoNET: Estimation of UPDRS Score Using Hubness-Aware Feedforward Neural Networks. Appl. Artif. Intell. Krisztián Búza, Noémi Ágnes Varga
2016	—	`conf`	Person Identification Based on Keystroke Dynamics: Demo and Open Challenge. CAiSE Forum Krisztián Búza
2015	—	`ch.`	Hubness-Aware Classification, Instance Selection and Feature Construction: Survey and Extensions to Time-Series. Feature Selection for Data and Pattern Recognition Nenad Tomasev, Krisztián Búza, Kristóf Marussy, Piroska B. Kis
2015	J	`jnl`	Hubness-aware kNN classification of high-dimensional data in presence of label noise. Neurocomputing Nenad Tomasev, Krisztián Búza
2015	J	`jnl`	Nearest neighbor regression in the presence of bad hubs. Knowl. Based Syst. Krisztián Búza, Alexandros Nanopoulos, Gábor I. Nagy
2015	Misc	`conf`	PROCESS: Projection-Based Classification of Electroencephalograph Signals. ICAISC Krisztián Búza, Júlia Koller, Kristóf Marussy
2015	—	`conf`	Semi-supervised Naive Hubness Bayesian k-Nearest Neighbor for Gene Expression Data. CORES Krisztián Búza
2014	J	`jnl`	Storage-optimizing clustering algorithms for high-dimensional tick data. Expert Syst. Appl. Krisztián Búza, Gábor I. Nagy, Alexandros Nanopoulos
2013	—	`conf`	SUCCESS: A New Approach for Semi-supervised Classification of Time-Series. ICAISC (1) Kristóf Marussy, Krisztián Búza
2012	—	`conf`	Feedback Prediction for Blogs. GfKl Krisztián Búza
2012	J	`jnl`	GRAMOFON: General model-selection framework based on networks. Neurocomputing Krisztián Búza, Alexandros Nanopoulos, Tomás Horváth, Lars Schmidt-Thieme
2012	A*	`conf`	SOHAC: Efficient Storage of Tick Data That Supports Search and Analysis. ICDM Gábor I. Nagy, Krisztián Búza
2011	—	`conf`	A Distributed Genetic Algorithm for Graph-Based Clustering. ICMMI Krisztián Búza, Antal Buza, Piroska B. Kis
2011	—	`conf`	Fast Classification of Electrocardiograph Signals via Instance Selection. HISB Krisztián Búza, Alexandros Nanopoulos, Lars Schmidt-Thieme, Júlia Koller
2011	—	`conf`	Fusion of Similarity Measures for Time Series Classification. HAIS (2) Krisztián Búza, Alexandros Nanopoulos, Lars Schmidt-Thieme
2011	—	`conf`	INSIGHT: Efficient and Effective Instance Selection for Time-Series Classification. PAKDD (2) Krisztián Búza, Alexandros Nanopoulos, Lars Schmidt-Thieme
2011	C	`conf`	IQ estimation for accurate time-series classification. CIDM Krisztián Búza, Alexandros Nanopoulos, Lars Schmidt-Thieme
2011	A	`conf`	Scalable Event-Based Clustering of Social Media Via Record Linkage Techniques. ICWSM Timo Reuter, Philipp Cimiano, Lucas Drumond, Krisztián Búza, Lars Schmidt-Thieme
2010	—	`conf`	Graph-Based Model-Selection Framework for Large Ensembles. HAIS (1) Krisztián Búza, Alexandros Nanopoulos, Lars Schmidt-Thieme
2010	—	`conf`	Individualized Error Estimation for Classification and Regression Models. GfKl Krisztián Búza, Alexandros Nanopoulos, Lars Schmidt-Thieme
2010	—	`conf`	Time-Series Classification Based on Individualised Error Prediction. CSE Krisztián Búza, Alexandros Nanopoulos, Lars Schmidt-Thieme
2008	Misc	`conf`	Folksonomy-Based Collabulary Learning. ISWC Leandro Balby Marinho, Krisztián Búza, Lars Schmidt-Thieme
2008	—	`conf`	Motif-Based Classification of Time Series with Bayesian Networks and SVMs. GfKl Krisztián Búza, Lars Schmidt-Thieme