Krisztian Buza

Publication Activity (10 Years)

Years Active: 2008-2021
Publications (10 Years): 29

Top Topics

Nearest Neighbor

Functional Connectivity

Gene Expression

Top Venues

Publications

Margit Antal, Norbert Fejér, Krisztian Buza
SapiMouse: Mouse Dynamics-based User Authentication Using Deep Feature Learning. SACI (2021)
Margit Antal, Krisztian Buza, Norbert Fejér
SapiAgent: A Bot Based on Deep Learning to Generate Human-Like Mouse Trajectories. IEEE Access 9 (2021)
Krisztian Buza, Margit Antal
Convolutional Neural Networks with Dynamic Convolution for Time Series Classification. ICCCI (CCIS Volume) (2021)
Krisztian Buza, Aleksandra Revina
Speeding up the SUCCESS Approach for Massive Industrial Datasets. INISTA (2020)
Krisztian Buza
ASTERICS: Projection-based Classification of EEG with Asymmetric Loss Linear Regression and Genetic Algorithm. SACI (2020)
Aleksandra Revina, Krisztian Buza, Vera G. Meister
IT Ticket Classification: The Simpler, the Better. IEEE Access 8 (2020)
Krisztian Buza, Tomás Horváth
Factorization Machines for Blog Feedback Prediction. CORES (2019)
Zakarya Farou, Krisztian Buza
The Warping Window Size Effects the Accuracy of Person Identification based on Keystroke Dynamics. ITAT (2019)
Krisztian Buza
Encouraging an Appropriate Representation Simplifies Training of Neural Networks. CoRR (2019)
Dániel T. Várkonyi, Krisztian Buza
Extreme Learning Machines with Regularization for the Classification of Gene Expression Data. ITAT (2019)
Krisztian Buza
Time Series Classification and its Applications. WIMS (2018)
Dóra Neubrandt, Krisztian Buza
Projection-Based Person Identification. CORES (2017)
Ladislav Peska, Krisztian Buza, Júlia Koller
Drug-target interaction prediction: A Bayesian ranking approach. Comput. Methods Programs Biomed. 152 (2017)
Regina Meszlényi, Krisztian Buza, Zoltán Vidnyánszky
Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture. Frontiers Neuroinformatics 11 (2017)
Krisztian Buza, Piroska B. Kis
Towards Privacy-Aware Keyboards. CORES (2017)
Krisztian Buza, Ladislav Peska
Drug-target interaction prediction with Bipartite Local Models and hubness-aware regression. Neurocomputing 260 (2017)
Rajkumar Ramamurthy, Christian Bauckhage, Krisztian Buza, Stefan Wrobel
Using Echo State Networks for Cryptography. CoRR (2017)
Krisztian Buza, Ladislav Peska
ALADIN: A New Approach for Drug-Target Interaction Prediction. ECML/PKDD (2) (2017)
Regina Meszlényi, Krisztian Buza, Zoltán Vidnyánszky
Resting state fMRI functional connectivity-based classification using a convolutional neural network architecture. CoRR (2017)
Rajkumar Ramamurthy, Christian Bauckhage, Krisztian Buza, Stefan Wrobel
Using Echo State Networks for Cryptography. ICANN (2) (2017)
Rodica Ioana Lung, Mihai Suciu, Regina Meszlényi, Krisztian Buza, Noémi Gaskó
Community Structure Detection for the Functional Connectivity Networks of the Brain. PPSN (2016)
Nenad Tomasev, Krisztian Buza, Dunja Mladenic
Correcting the hub occurrence prediction bias in many dimensions. Comput. Sci. Inf. Syst. 13 (1) (2016)
Krisztian Buza
Classification of gene expression data: A hubness-aware semi-supervised approach. Comput. Methods Programs Biomed. 127 (2016)
Regina Meszlényi, Ladislav Peska, Viktor Gál, Zoltán Vidnyánszky, Krisztian Buza
Classification of fMRI data using dynamic time warping based functional connectivity analysis. EUSIPCO (2016)
Krisztian Buza
Person Identification Based on Keystroke Dynamics: Demo and Open Challenge. CAiSE Forum (2016)
Krisztian Buza, Noémi Ágnes Varga
ParkinsoNET: Estimation of UPDRS Score Using Hubness-Aware Feedforward Neural Networks. Appl. Artif. Intell. 30 (6) (2016)
Regina Meszlényi, Ladislav Peska, Viktor Gál, Zoltán Vidnyánszky, Krisztian Buza
A Model for Classification Based on the Functional Connectivity Pattern Dynamics of the Brain. ENIC (2016)
Krisztian Buza
Drug-target interaction prediction with hubness-aware machine learning. SACI (2016)
Krisztian Buza, Dóra Neubrandt
How you type is who you are. SACI (2016)
Krisztian Buza, Júlia Koller, Kristóf Marussy
PROCESS: Projection-Based Classification of Electroencephalograph Signals. ICAISC (2015)
Nenad Tomasev, Krisztian Buza
Hubness-aware kNN classification of high-dimensional data in presence of label noise. Neurocomputing 160 (2015)
Krisztian Buza, Alexandros Nanopoulos, Gábor I. Nagy
Nearest neighbor regression in the presence of bad hubs. Knowl. Based Syst. 86 (2015)
Krisztian Buza
Semi-supervised Naive Hubness Bayesian k-Nearest Neighbor for Gene Expression Data. CORES (2015)
Krisztian Buza, Gábor I. Nagy, Alexandros Nanopoulos
Storage-optimizing clustering algorithms for high-dimensional tick data. Expert Syst. Appl. 41 (9) (2014)
Kristóf Marussy, Krisztian Buza
SUCCESS: A New Approach for Semi-supervised Classification of Time-Series. ICAISC (1) (2013)
Krisztian Buza, Alexandros Nanopoulos, Tomás Horváth, Lars Schmidt-Thieme
GRAMOFON: General model-selection framework based on networks. Neurocomputing 75 (1) (2012)
Gábor I. Nagy, Krisztian Buza
SOHAC: Efficient Storage of Tick Data That Supports Search and Analysis. ICDM (2012)
Krisztian Buza
Feedback Prediction for Blogs. GfKl (2012)
Krisztian Buza, Antal Buza, Piroska B. Kis
A Distributed Genetic Algorithm for Graph-Based Clustering. ICMMI (2011)
Krisztian Buza, Alexandros Nanopoulos, Lars Schmidt-Thieme
Fusion of Similarity Measures for Time Series Classification. HAIS (2) (2011)
Timo Reuter, Philipp Cimiano, Lucas Drumond, Krisztian Buza, Lars Schmidt-Thieme
Scalable Event-Based Clustering of Social Media Via Record Linkage Techniques. ICWSM (2011)
Krisztian Buza, Alexandros Nanopoulos, Lars Schmidt-Thieme, Júlia Koller
Fast Classification of Electrocardiograph Signals via Instance Selection. HISB (2011)
Krisztian Buza, Alexandros Nanopoulos, Lars Schmidt-Thieme
INSIGHT: Efficient and Effective Instance Selection for Time-Series Classification. PAKDD (2) (2011)
Krisztian Buza, Alexandros Nanopoulos, Lars Schmidt-Thieme
IQ estimation for accurate time-series classification. CIDM (2011)
Krisztian Buza, Alexandros Nanopoulos, Lars Schmidt-Thieme
Time-Series Classification Based on Individualised Error Prediction. CSE (2010)
Krisztian Buza, Alexandros Nanopoulos, Lars Schmidt-Thieme
Individualized Error Estimation for Classification and Regression Models. GfKl (2010)
Krisztian Buza, Alexandros Nanopoulos, Lars Schmidt-Thieme
Graph-Based Model-Selection Framework for Large Ensembles. HAIS (1) (2010)
Leandro Balby Marinho, Krisztian Buza, Lars Schmidt-Thieme
Folksonomy-Based Collabulary Learning. ISWC (2008)
Krisztian Buza, Lars Schmidt-Thieme
Motif-Based Classification of Time Series with Bayesian Networks and SVMs. GfKl (2008)