Krisztián Búza

发表

Drug-target interaction prediction: A Bayesian ranking approach

Ladislav Peska, Krisztian Buza, Júlia Koller, 2017, Comput. Methods Programs Biomed..

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

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

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

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

Partitional clustering of tick data to reduce storage space

G. I. Nagy, K. Buza, G. Nagy, 2012, 2012 IEEE 16th International Conference on Intelligent Engineering Systems (INES).

Feedback Prediction for Blogs

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

Resting State fMRI Functional Connectivity Analysis Using Dynamic Time Warping

Petra Hermann, Krisztian Buza, Zoltán Vidnyánszky, 2017, Front. Neurosci..

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).

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).

IT Ticket Classification: The Simpler, the Better

Krisztian Buza, Aleksandra Revina, Vera G. Meister, 2020, IEEE Access.

Nearest neighbor regression in the presence of bad hubs

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

Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation

B. Grabowski, Kamil Książek, M. Romaszewski, 2021, ICIAP.

A Specialized Histone H1 Variant Is Required for Adaptive Responses to Complex Abiotic Stress and Related DNA Methylation in Arabidopsis1[OPEN]

K. Ginalski, P. Zielenkiewicz, B. Wilczyński, 2015, Plant Physiology.

Running title: Linker histones in plant adaptation to stress

K. Ginalski, P. Zielenkiewicz, B. Wilczyński, 2015 .

Time Series Classification and its Applications

Krisztian Buza, Krisztián Búza, 2018, WIMS.

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

Lars Schmidt-Thieme, Philipp Cimiano, Lucas Drumond, 2011, ICWSM.

Speeding up the SUCCESS Approach for Massive Industrial Datasets

Krisztian Buza, Aleksandra Revina, K. Búza, 2020, 2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA).

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

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

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

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

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

Lars Schmidt-Thieme, Krisztian Buza, L. Schmidt-Thieme, 2008, GfKl.

Modified linear regression predicts drug-target interactions accurately

Krisztian Buza, Ladislav Peška, Júlia Koller, 2020, PloS one.

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

Krisztian Buza, Ladislav Peška, Ladislav Peška, 2017, Neurocomputing.

ALADIN: A New Approach for Drug-Target Interaction Prediction

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

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).

Community Structure Detection for the Functional Connectivity Networks of the Brain

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

The analysis of heart rate variability and accelerometer mobility data in the assessment of symptom severity in psychotic disorder patients using a wearable Polar H10 sensor

M. Piegza, P. Gorczyca, Kamil Książek, 2023, medRxiv.

Fusion Methods for Time-Series Classification

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

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.

Graph-based clustering based on cutting sets

K. Buza, P. B. Kis, A. Buza, 2011, 2011 15th IEEE International Conference on Intelligent Engineering Systems.

Using Echo State Networks for Cryptography

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

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

Krisztian Buza, Zakarya Farou, Zakarya Farou, 2019, ITAT.

Convolutional Neural Networks with Dynamic Convolution for Time Series Classification

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

Correcting the hub occurrence prediction bias in many dimensions

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

Fusion Methods for Time-Series Classification

Krisztián Búza, 2011 .

Graph-Based Model-Selection Framework for Large Ensembles

Lars Schmidt-Thieme, Krisztian Buza, Alexandros Nanopoulos, 2010, HAIS.

A Simple Ensemble Technique

K. Buza, Krisztián Búza, 2009 .

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

Lars Schmidt-Thieme, Alexandros Nanopoulos, Krisztian Buza, 2011, PAKDD.

Assessment of symptom severity in psychotic disorder patients based on heart rate variability and accelerometer mobility data

M. Piegza, P. Gorczyca, Kamil Książek, 2024, Comput. Biol. Medicine.

A Simple and Effective Classifier for the Detection of Psychotic Disorders based on Heart Rate Variability Time Series

M. Piegza, P. Gorczyca, Kamil Książek, 2022 .

PROCESS: Projection-Based Classification of Electroencephalograph Signals

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

Classification of Electroencephalograph Data: A Hubness-aware Approach

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

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

M. Antal, Norbert Fejér, Krisztián Búza, 2021, IEEE Access.

RECORD: Reference-Assisted Genome Assembly for Closely Related Genomes

B. Wilczyński, Norbert Dojer, K. Buza, 2015, International journal of genomics.