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ORCIDAttila Kertész-Farkas
Person information
- affiliation: University of Szeged, Hungary
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2020 – today
- 2023
[c6]Frank Lawrence Nii Adoquaye Acquaye
, Insan-Aleksandr Latipov, Attila Kertész-Farkas:
Hypernym Information and Sentiment Bias Probing in Distributed Data Representation. ICMLC 2023: 221-226- 2020
- [j14]Pavel Sulimov, Anastasia Voronkova, Attila Kertész-Farkas:
Annotation of tandem mass spectrometry data using stochastic neural networks in shotgun proteomics. Bioinform. 36(12): 3781-3787 (2020)
2010 – 2019
- 2019
- [c5]Pavel Sulimov, Elena Sukmanova, Roman Chereshnev, Attila Kertész-Farkas:
Guided Layer-Wise Learning for Deep Models Using Side Information. AIST (Supplement) 2019: 50-61 - [i4]Pavel Sulimov, Elena Sukmanova, Roman Chereshnev, Attila Kertész-Farkas:
Guided Layer-wise Learning for Deep Models using Side Information. CoRR abs/1911.02048 (2019) - 2018
- [j13]Gleb Filatov, Bruno Bauwens, Attila Kertész-Farkas:
LZW-Kernel: fast kernel utilizing variable length code blocks from LZW compressors for protein sequence classification. Bioinform. 34(19): 3281-3288 (2018) - [j12]Roman Chereshnev, Attila Kertész-Farkas:
RapidHARe: A computationally inexpensive method for real-time human activity recognition from wearable sensors. J. Ambient Intell. Smart Environ. 10(5): 377-391 (2018) - [j11]Roman Chereshnev, Attila Kertész-Farkas:
GaIn: Human Gait Inference for Lower Limbic Prostheses for Patients Suffering from Double Trans-Femoral Amputation. Sensors 18(12): 4146 (2018) - [c4]Andrey Shestakov, Danila Doroshin, Dmitri Shmelkin, Attila Kertész-Farkas:
Lookup Lateration: Mapping of Received Signal Strength to Position for Geo-Localization in Outdoor Urban Areas. AIST 2018: 234-246 - [i3]Andrey Shestakov, Danila Doroshin, Dmitri Shmelkin, Attila Kertész-Farkas:
Lookup Lateration: Mapping of Received Signal Strength to Position for Geo-Localization in Outdoor Urban Areas. CoRR abs/1809.09405 (2018) - [i2]Roman Chereshnev, Attila Kertész-Farkas:
RapidHARe: A computationally inexpensive method for real-time human activity recognition from wearable sensors. CoRR abs/1809.09412 (2018) - 2017
- [c3]Roman Chereshnev, Attila Kertész-Farkas:
HuGaDB: Human Gait Database for Activity Recognition from Wearable Inertial Sensor Networks. AIST 2017: 131-141 - [i1]Roman Chereshnev, Attila Kertész-Farkas:
HuGaDB: Human Gait Database for Activity Recognition from Wearable Inertial Sensor Networks. CoRR abs/1705.08506 (2017) - 2014
- [j10]Attila Kertész-Farkas, Beáta Reiz, Roberto Vera, Michael P. Myers, Sándor Pongor:
PTMTreeSearch: a novel two-stage tree-search algorithm with pruning rules for the identification of post-translational modification of proteins in MS/MS spectra. Bioinform. 30(2): 234-241 (2014) - 2013
- [j9]Roberto Vera, Yasset Pérez-Riverol, Sonia Pérez, Balázs Ligeti, Attila Kertész-Farkas, Sándor Pongor:
JBioWH: an open-source Java framework for bioinformatics data integration. Database J. Biol. Databases Curation 2013 (2013) - [j8]Beáta Reiz, Attila Kertész-Farkas, Sándor Pongor, Michael P. Myers:
Chemical rule-based filtering of MS/MS spectra. Bioinform. 29(7): 925-932 (2013) - 2012
- [j7]Dora Bihary, Adam Kerenyi, Zsolt Gelencsér, Sergiu Netotea, Attila Kertész-Farkas, Vittorio Venturi, Sándor Pongor:
Simulation of communication and cooperation in multispecies bacterial communities with an agent based model. Scalable Comput. Pract. Exp. 13(1) (2012) - 2011
- [j6]Emily Doughty, Attila Kertész-Farkas, Olivier Bodenreider, Gary Thompson, Asa Adadey, Thomas A. Peterson, Maricel G. Kann:
Toward an automatic method for extracting cancer- and other disease-related point mutations from the biomedical literature. Bioinform. 27(3): 408-415 (2011) - [c2]Attila Kertész-Farkas, Beáta Reiz, Michael P. Myers, Sándor Pongor:
PTMSearch: A Greedy Tree Traversal Algorithm for Finding Protein Post-Translational Modifications in Tandem Mass Spectra. ECML/PKDD (2) 2011: 162-176
2000 – 2009
- 2009
- [b1]Attila Kertész-Farkas:
Protein Classification in a Machine Learning Framework. University of Szeged, Hungary, 2009 - [j5]József Dombi, Attila Kertész-Farkas:
Applying Fuzzy Technologies to Equivalence Learning in Protein Classification. J. Comput. Biol. 16(4): 611-623 (2009) - 2007
- [j4]Paolo Sonego, Mircea Pacurar, Somdutta Dhir, Attila Kertész-Farkas, András Kocsor, Zoltán Gáspári, Jack A. M. Leunissen, Sándor Pongor:
A Protein Classification Benchmark collection for machine learning. Nucleic Acids Res. 35(Database-Issue): 232-236 (2007) - [c1]Attila Kertész-Farkas, András Kocsor, Sándor Pongor:
Equivalence Learning in Protein Classification. MLDM 2007: 824-837 - 2006
- [j3]András Kocsor, Attila Kertész-Farkas, László Kaján, Sándor Pongor:
Application of compression-based distance measures to protein sequence classification: a methodological study. Bioinform. 22(4): 407-412 (2006) - [j2]László Kaján, Attila Kertész-Farkas, Dino Franklin, Neli Ivanova, András Kocsor, Sándor Pongor:
Application of a simple likelihood ratio approximant to protein sequence classification. Bioinform. 22(23): 2865-2869 (2006) - [j1]János Z. Kelemen, Attila Kertész-Farkas, András Kocsor, László G. Puskás:
Kalman filtering for disease-state estimation from microarray data. Bioinform. 22(24): 3047-3053 (2006)
Coauthor Index
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