Krisztian Buza

According to our database1, Krisztian Buza authored at least 41 papers between 2008 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Factorization Machines for Blog Feedback Prediction.
Proceedings of the Progress in Computer Recognition Systems, 2019

2018
Feature Selection with a Genetic Algorithm for Classification of Brain Imaging Data.
Proceedings of the Advances in Feature Selection for Data and Pattern Recognition, 2018

Time Series Classification and its Applications.
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.
Neurocomputing, 2017

Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture.
Front. Neuroinform., 2017

Drug-target interaction prediction: A Bayesian ranking approach.
Computer Methods and Programs in Biomedicine, 2017

ALADIN: A New Approach for Drug-Target Interaction Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Using Echo State Networks for Cryptography.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Projection-Based Person Identification.
Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, 2017

Towards Privacy-Aware Keyboards.
Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, 2017

2016
Correcting the hub occurrence prediction bias in many dimensions.
Comput. Sci. Inf. Syst., 2016

Classification of gene expression data: A hubness-aware semi-supervised approach.
Computer Methods and Programs in Biomedicine, 2016

ParkinsoNET: Estimation of UPDRS Score Using Hubness-Aware Feedforward Neural Networks.
Applied Artificial Intelligence, 2016

How you type is who you are.
Proceedings of the 11th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2016

Drug-target interaction prediction with hubness-aware machine learning.
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.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Classification of fMRI data using dynamic time warping based functional connectivity analysis.
Proceedings of the 24th European Signal Processing Conference, 2016

A Model for Classification Based on the Functional Connectivity Pattern Dynamics of the Brain.
Proceedings of the Third European Network Intelligence Conference, 2016

Person Identification Based on Keystroke Dynamics: Demo and Open Challenge.
Proceedings of the CAiSE'16 Forum, 2016

2015
Hubness-Aware Classification, Instance Selection and Feature Construction: Survey and Extensions to Time-Series.
Proceedings of the Feature Selection for Data and Pattern Recognition, 2015

Nearest neighbor regression in the presence of bad hubs.
Knowl.-Based Syst., 2015

Hubness-aware kNN classification of high-dimensional data in presence of label noise.
Neurocomputing, 2015

PROCESS: Projection-Based Classification of Electroencephalograph Signals.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

Semi-supervised Naive Hubness Bayesian k-Nearest Neighbor for Gene Expression Data.
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

2014
Storage-optimizing clustering algorithms for high-dimensional tick data.
Expert Syst. Appl., 2014

2013
SUCCESS: A New Approach for Semi-supervised Classification of Time-Series.
Proceedings of the Artificial Intelligence and Soft Computing, 2013

2012
GRAMOFON: General model-selection framework based on networks.
Neurocomputing, 2012

SOHAC: Efficient Storage of Tick Data That Supports Search and Analysis.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2012

Feedback Prediction for Blogs.
Proceedings of the Data Analysis, Machine Learning and Knowledge Discovery, 2012

2011
Fusion Methods for Time-Series Classification.
PhD thesis, 2011

INSIGHT: Efficient and Effective Instance Selection for Time-Series Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Scalable Event-Based Clustering of Social Media Via Record Linkage Techniques.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

A Distributed Genetic Algorithm for Graph-Based Clustering.
Proceedings of the Man-Machine Interactions 2, 2011

Fast Classification of Electrocardiograph Signals via Instance Selection.
Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011

Fusion of Similarity Measures for Time Series Classification.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

IQ estimation for accurate time-series classification.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

2010
Graph-Based Model-Selection Framework for Large Ensembles.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Individualized Error Estimation for Classification and Regression Models.
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.
Proceedings of the 13th IEEE International Conference on Computational Science and Engineering, 2010

2008
Folksonomy-Based Collabulary Learning.
Proceedings of the Semantic Web - ISWC 2008, 7th International Semantic Web Conference, 2008

Motif-Based Classification of Time Series with Bayesian Networks and SVMs.
Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008


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