Krisztian Buza

发表

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

Krisztian Buza, Noémi Ágnes Varga, K. Búza, 2016, Appl. Artif. Intell..

PROCESS: Projection-Based Classification of Electroencephalograph Signals

Kristóf Marussy, Krisztian Buza, Júlia Koller, 2015, ICAISC.

Clustering Algorithms for Storage of Tick Data

Krisztian Buza, Gábor Nagy, 2012 .

Using Echo State Networks for Cryptography

Christian Bauckhage, Stefan Wrobel, Rajkumar Ramamurthy, 2017, ICANN.

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

Ladislav Peska, Krisztian Buza, Regina Meszlényi, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

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

Kristóf Marussy, Krisztian Buza, Kristóf Marussy, 2013, ICAISC.

A Distributed Genetic Algorithm for Graph-Based Clustering

Krisztian Buza, Antal Buza, Piroska B. Kis, 2011, ICMMI.

Factorization Machines for Blog Feedback Prediction

Krisztian Buza, Tomás Horváth, 2019, CORES.

Classification of Electroencephalograph Data: A Hubness-aware Approach

Krisztian Buza, Julia Koller, J. Koller, 2016 .

Time Series Classification and its Applications

Krisztian Buza, Krisztián Búza, 2018, WIMS.

Correcting the hub occurrence prediction bias in many dimensions

Dunja Mladenic, Krisztian Buza, Nenad Tomasev, 2016, Comput. Sci. Inf. Syst..

Community Structure Detection for the Functional Connectivity Networks of the Brain

Noémi Gaskó, Rodica Ioana Lung, Mihai Alexandru Suciu, 2016, PPSN.

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

Krisztian Buza, 2015, CORES.

Nearest neighbor regression in the presence of bad hubs

Alexandros Nanopoulos, Krisztian Buza, Gábor I. Nagy, 2015, Knowl. Based Syst..

Storage-optimizing clustering algorithms for high-dimensional tick data

Alexandros Nanopoulos, Krisztian Buza, Gábor I. Nagy, 2014, Expert Syst. Appl..

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

Krisztian Buza, Regina Meszlényi, Zoltán Vidnyánszky, 2017, Front. Neuroinform..

ALADIN: A New Approach for Drug-Target Interaction Prediction

Ladislav Peska, Krisztian Buza, Ladislav Peška, 2017, ECML/PKDD.

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

Noémi Gaskó, Rodica Ioana Lung, Mihai Alexandru Suciu, 2018, Advances in Feature Selection for Data and Pattern Recognition.

Towards Privacy-Aware Keyboards

Krisztian Buza, Piroska B. Kis, 2017, CORES.

Fusion Methods for Time-Series Classification

Krisztian Buza, K. Búza, Krisztián Búza, 2011 .

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

Krisztian Buza, K. Búza, Krisztián Búza, 2016, Comput. Methods Programs Biomed..

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

Kristóf Marussy, Krisztian Buza, Nenad Tomasev, 2015, Feature Selection for Data and Pattern Recognition.

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

Ladislav Peska, Krisztian Buza, Regina Meszlényi, 2016, 2016 Third European Network Intelligence Conference (ENIC).

Drug-target interaction prediction with hubness-aware machine learning

Krisztian Buza, K. Búza, Krisztián Búza, 2016, 2016 IEEE 11th International Symposium on Applied Computational Intelligence and Informatics (SACI).

Person Identification Based on Keystroke Dynamics: Demo and Open Challenge

Krisztian Buza, K. Búza, 2016, CAiSE Forum.

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

Krisztian Buza, Gábor I. Nagy, 2012, ICDM.

How you type is who you are

Krisztian Buza, Dora Neubrandt, 2016, 2016 IEEE 11th International Symposium on Applied Computational Intelligence and Informatics (SACI).

Feedback Prediction for Blogs

Krisztian Buza, K. Búza, Krisztián Búza, 2012, GfKl.

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

Krisztian Buza, Nenad Tomasev, Nenad Tomašev, 2015, Neurocomputing.

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

Margit Antal, Krisztian Buza, Norbert Fejér, 2021, 2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI).

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

Margit Antal, Krisztian Buza, Norbert Fejer, 2021, IEEE Access.

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

Krisztian Buza, Tamás Koncz, Orsolya Máthé, 2021, 2021 IEEE 19th International Symposium on Intelligent Systems and Informatics (SISY).

Convolutional Neural Networks with Dynamic Convolution for Time Series Classification

Margit Antal, Krisztian Buza, M. Antal, 2021, ICCCI.

Designing Explainable Text Classification Pipelines: Insights from IT Ticket Complexity Prediction Case Study

Krisztian Buza, Aleksandra Revina, Vera G. Meister, 2021 .

An Application of Link Prediction in Bipartite Graphs : Personalized Blog Feedback Prediction

Krisztian Buza, 2013 .

Eigenmode Identification in Campbell Diagrams

Lars Schmidt-Thieme, Krisztian Buza, Christine Preisach, 2009 .

Value-transformation for monotone prediction by approximating fuzzy membership functions

Lars Schmidt-Thieme, Krisztian Buza, Alan Eckhardt, 2011, 2011 IEEE 12th International Symposium on Computational Intelligence and Informatics (CINTI).