Attila Kertész-Farkas

According to our database, Attila Kertész-Farkas authored at least 21 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Hypernym Information and Sentiment Bias Probing in Distributed Data Representation.

Frank Lawrence Nii Adoquaye Acquaye, Insan-Aleksandr Latipov, Attila Kertész-Farkas

Proceedings of the 15th International Conference on Machine Learning and Computing, 2023

2020

Annotation of tandem mass spectrometry data using stochastic neural networks in shotgun proteomics.

Pavel Sulimov, Anastasia Voronkova, Attila Kertész-Farkas

Bioinform., 2020

2019

Guided Layer-Wise Learning for Deep Models Using Side Information.

Pavel Sulimov, Elena Sukmanova, Roman Chereshnev, Attila Kertész-Farkas

Proceedings of the Analysis of Images, Social Networks and Texts, 2019

2018

GaIn: Human Gait Inference for Lower Limbic Prostheses for Patients Suffering from Double Trans-Femoral Amputation.

Roman Chereshnev, Attila Kertész-Farkas

Sensors, 2018

RapidHARe: A computationally inexpensive method for real-time human activity recognition from wearable sensors.

Roman Chereshnev, Attila Kertész-Farkas

J. Ambient Intell. Smart Environ., 2018

LZW-Kernel: fast kernel utilizing variable length code blocks from LZW compressors for protein sequence classification.

Gleb Filatov, Bruno Bauwens, Attila Kertész-Farkas

Bioinform., 2018

Lookup Lateration: Mapping of Received Signal Strength to Position for Geo-Localization in Outdoor Urban Areas.

Andrey Shestakov, Danila Doroshin, Dmitri Shmelkin, Attila Kertész-Farkas

Proceedings of the Analysis of Images, Social Networks and Texts, 2018

2017

HuGaDB: Human Gait Database for Activity Recognition from Wearable Inertial Sensor Networks.

Roman Chereshnev, Attila Kertész-Farkas

Proceedings of the Analysis of Images, Social Networks and Texts, 2017

2014

PTMTreeSearch: a novel two-stage tree-search algorithm with pruning rules for the identification of post-translational modification of proteins in MS/MS spectra.

Attila Kertész-Farkas, Beáta Reiz, Roberto Vera, Michael P. Myers, Sándor Pongor

Bioinform., 2014

2013

Chemical rule-based filtering of MS/MS spectra.

Beáta Reiz, Attila Kertész-Farkas, Sándor Pongor, Michael P. Myers

Bioinform., 2013

<i>JBioWH</i>: an open-source Java framework for bioinformatics data integration.

Roberto Vera, Yasset Pérez-Riverol, Sonia Pérez, Balázs Ligeti, Attila Kertész-Farkas, Sándor Pongor

Database J. Biol. Databases Curation, 2013

2012

Simulation of communication and cooperation in multispecies bacterial communities with an agent based model.

Dora Bihary, Adam Kerenyi, Zsolt Gelencsér, Sergiu Netotea, Attila Kertész-Farkas, Vittorio Venturi, Sándor Pongor

Scalable Comput. Pract. Exp., 2012

2011

Toward an automatic method for extracting cancer- and other disease-related point mutations from the biomedical literature.

Emily Doughty, Attila Kertész-Farkas, Olivier Bodenreider, Gary Thompson, Asa Adadey, Thomas A. Peterson, Maricel G. Kann

Bioinform., 2011

PTMSearch: A Greedy Tree Traversal Algorithm for Finding Protein Post-Translational Modifications in Tandem Mass Spectra.

Attila Kertész-Farkas, Beáta Reiz, Michael P. Myers, Sándor Pongor

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2009

Protein Classification in a Machine Learning Framework

Attila Kertész-Farkas

PhD thesis, 2009

Applying Fuzzy Technologies to Equivalence Learning in Protein Classification.

József Dombi, Attila Kertész-Farkas

J. Comput. Biol., 2009

2007

A Protein Classification Benchmark collection for machine learning.

Paolo Sonego, Mircea Pacurar, Somdutta Dhir, Attila Kertész-Farkas, András Kocsor, Zoltán Gáspári, Jack A. M. Leunissen, Sándor Pongor

Nucleic Acids Res., 2007

Equivalence Learning in Protein Classification.

Attila Kertész-Farkas, András Kocsor, Sándor Pongor

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

2006

Application of compression-based distance measures to protein sequence classification: a methodological study.

András Kocsor, Attila Kertész-Farkas, László Kaján, Sándor Pongor

Bioinform., 2006

Kalman filtering for disease-state estimation from microarray data.

János Z. Kelemen, Attila Kertész-Farkas, András Kocsor, László G. Puskás

Bioinform., 2006

Application of a simple likelihood ratio approximant to protein sequence classification.

László Kaján, Attila Kertész-Farkas, Dino Franklin, Neli Ivanova, András Kocsor, Sándor Pongor

Bioinform., 2006