Compact fuzzy association rule-based classifier FP Pach, A Gyenesei, J Abonyi Expert systems with applications 34 (4), 2406-2416, 2008 | 82 | 2008 |
Serum osteocalcin is associated with improved metabolic state via adiponectin in females versus testosterone in males. Gender specific nature of the bone–energy homeostasis axis B Buday, FP Pach, B Literati-Nagy, M Vitai, Z Vecsei, L Koranyi Bone 57 (1), 98-104, 2013 | 52 | 2013 |
Association rule and decision tree based methods for fuzzy rule base generation FP Pach, J Abonyi World Academy of Science, Engineering and Technology 13, 45-50, 2006 | 42 | 2006 |
Semi-mechanistic models for state-estimation–soft sensor for polymer melt index prediction B Feil, J Abonyi, P Pach, S Nemeth, P Arva, M Nemeth, G Nagy International Conference on Artificial Intelligence and Soft Computing, 1111 …, 2004 | 32 | 2004 |
Sex influenced association of directly measured insulin sensitivity and serum transaminase levels: Why alanine aminotransferase only predicts cardiovascular risk in men? CL Barbara Buday, Peter Ferenc Pach, Botond Literati-Nagy, Marta Vitai ... Cardiovascular Diabetology 14 (55), 2015 | 31 | 2015 |
DREAR− Towards Infrastructure− free Indoor Localization via Dead− Reckoning Enhanced with Activity Recognition T Attila, N András, K László, P Ferenc, Péter Next Generation Mobile Apps, Services and Technologies (NGMAST), 2014 Eighth …, 2014 | 28* | 2014 |
Process-data-warehousing-based operator support system for complex production technologies FP Pach, B Feil, S Nemeth, P Arva, J Abonyi IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2005 | 18 | 2005 |
A method for characterizing Cas9 variants via a one-million target sequence library of self-targeting sgRNAs A Tálas, K Huszár, PI Kulcsár, JK Varga, É Varga, E Tóth, Z Welker, ... Nucleic Acids Research 49 (6), e31-e31, 2021 | 13 | 2021 |
Artificial Intelligence and Soft Computing B Feil, J Abonyi, P Pach, S Nemeth, P Arva, M Nemeth, G Nagy Springer, 2004 | 12 | 2004 |
Supervised clustering and fuzzy decision tree induction for the identification of compact classifiers FP Pach, J Abonyi, S Nemeth, P Arva 5th International Symposium of Hungarian Researchers on Computational …, 2004 | 11 | 2004 |
Emergency care of patients with myocardial infarction: from the onset of symptoms until opening the vessel A Jánosi, G Csató, FP Pach, S Guti, G Pápai, G Erdős, G Fontos, ... Orvosi Hetilap 161 (12), 458-467, 2020 | 10 | 2020 |
Prognostic significance of the total ischemic time in patients with ST-elevation myocardial infarction A Jánosi, G Erdős, FP Pach, T Forster, I Ungi, P Ofner, P Andréka Orvosi Hetilap 159 (27), 1113-1120, 2018 | 10 | 2018 |
Metabolic alteration in healthy men with first degree type 2 diabetic relatives J Pauer, A Fék, B Buday, B Literáti-Nagy, P Pach, M Vitai, É Péterfai, ... Orvosi Hetilap 154 (5), 178-186, 2013 | 7 | 2013 |
Fuzzy association rule mining for the analysis of historical process data FP Pach, A Gyenesei, S Németh, P Árva, J Abonyi Acta Agraria Kaposváriensis 10 (3), 89-107, 2006 | 7 | 2006 |
Fuzzy association rule mining for model structure identification FP Pach, A Gyenesei, P Arval, J Abonyi Applications of Soft Computing: Recent Trends, 261-270, 2006 | 6 | 2006 |
Black-box and first principle model based optimization of operating technologies FP Pach, B Balasko, S Nemeth, P Arva, J Abonyi Proceedings of 5th MATHMOD, Vienna, 2006 | 6 | 2006 |
Management of patients treated for myocardial infarction in different regions of Hungary and patient survival for 10 years A Jánosi, FP Pach, G Erdős, K Tóth, P Hári, P Ofner, P Andréka Orvosi Hetilap 162 (36), 1438-1450, 2021 | 5 | 2021 |
MOSSFARM: model structure selection by fuzzy association rule mining FP Pach, A Gyenesei, J Abonyi Journal of Intelligent & Fuzzy Systems 19 (6), 399-407, 2008 | 5 | 2008 |
Fuzzy association rule mining for data driven analysis of dynamical systems FP Pach, F Szeifert, S Németh, P Árva, J Abonyi Hungarian Journal of Industry and Chemistry 33 (1-2), 2005 | 5 | 2005 |
Analysis of pre-hospital delay time of patients with myocardial infarction A Jánosi, G Csató, FP Pach, G Pápai, G Erdős, P Andréka Orvosi Hetilap 160 (1), 20-25, 2019 | 4 | 2019 |