| Intercomparison of air quality data using principal component analysis, and forecasting of PM10 and PM2. 5 concentrations using artificial neural networks, in Thessaloniki and … D Voukantsis, K Karatzas, J Kukkonen, T Räsänen, A Karppinen, ... Science of the Total Environment 409 (7), 1266-1276, 2011 | 274 | 2011 |
| Data-based method for creating electricity use load profiles using large amount of customer-specific hourly measured electricity use data T Räsänen, D Voukantsis, H Niska, K Karatzas, M Kolehmainen Applied Energy 87 (11), 3538-3545, 2010 | 242 | 2010 |
| Forecasting daily pollen concentrations using data-driven modeling methods in Thessaloniki, Greece D Voukantsis, H Niska, K Karatzas, M Riga, A Damialis, D Vokou Atmospheric Environment 44 (39), 5101-5111, 2010 | 62 | 2010 |
| Personalized pollen‐related symptom‐forecast information services for allergic rhinitis patients in Europe U Berger, K Karatzas, S Jaeger, D Voukantsis, M Sofiev, O Brandt, ... Allergy 68 (8), 963-965, 2013 | 52 | 2013 |
| Predicting daily ragweed pollen concentrations using Computational Intelligence techniques over two heavily polluted areas in Europe Z Csépe, L Makra, D Voukantsis, I Matyasovszky, G Tusnády, K Karatzas, ... Science of the Total Environment 476, 542-552, 2014 | 47 | 2014 |
| The patient’s hay-fever diary: three years of results from Germany K Karatzas, D Voukantsis, S Jäger, U Berger, M Smith, O Brandt, ... Aerobiologia 30, 1-11, 2014 | 35 | 2014 |
| Analysis and forecasting of airborne pollen–induced symptoms with the aid of computational intelligence methods D Voukantsis, K Karatzas, S Jaeger, U Berger, M Smith Aerobiologia 29, 175-185, 2013 | 29 | 2013 |
| Personalized symptoms forecasting for pollen-induced allergic rhinitis sufferers D Voukantsis, U Berger, F Tzima, K Karatzas, S Jaeger, KC Bergmann International journal of biometeorology 59, 889-897, 2015 | 20 | 2015 |
| Sparse episode identification in environmental datasets: The case of air quality assessment FA Tzima, PA Mitkas, D Voukantsis, K Karatzas Expert Systems with Applications 38 (5), 5019-5027, 2011 | 15 | 2011 |
| Modeling genotypes in their microenvironment to predict single-and multi-cellular behavior D Voukantsis, K Kahn, M Hadley, R Wilson, FM Buffa GigaScience 8 (3), giz010, 2019 | 11 | 2019 |
| Computational intelligence methods for rolling bearing fault detection N Katsifarakis, M Riga, D Voukantsis, K Karatzas Journal of the Brazilian Society of Mechanical Sciences and Engineering 38 …, 2016 | 7 | 2016 |
| Science of the total environment Intercomparison of air quality data using principal component analysis, and forecasting of PM10 and PM2. 5 concentrations using artificial … D Voukantsis, K Karatzas, J Kukkonen, T Räsänen Sci. Total Environ. 409 (7), 1266-1276, 2011 | 6 | 2011 |
| Forecasting airborne pollen concentration of Poaceae (Grass) and Oleaceae (Olive), using artificial neural networks and genetic algorithms, in Thessaloniki, Greece D Voukantsis, KD Karatzas, A Damialis, D Vokou The 2010 International Joint Conference on Neural Networks (IJCNN), 1-6, 2010 | 6 | 2010 |
| Investigation of relationships and interconnections between Pollen and Air Quality data with the aid of Computational Intelligence Methods. D Voukantsis, KD Karatzas, A Rantio-Lehtimaki, M Sofiev EnviroInfo (1), 195-204, 2009 | 5 | 2009 |
| ICT Technologies and Somputational Intelligence Methods for the Creation of an Early Warning Air Pollution Information System. KD Karatzas, A Bassoukos, D Voukantsis, FA Tzima, K Nikolaou, ... EnviroInfo, 482-489, 2008 | 4 | 2008 |
| Studying and predicting quality of life atmospheric parameters with the aid of computational intelligence methods K Karatzas, D Voukantsis | 4 | 2008 |
| Deep immune phenotyping and single-cell transcriptomics allow identification of circulating TRM-Like cells which correlate with liver-stage immunity and vaccine-induced … A Noé, MS Datoo, A Flaxman, MA Husainy, D Jenkin, D Bellamy, ... Frontiers in Immunology 13, 112, 2022 | 3 | 2022 |
| Personalized information services for quality of life: The case of airborne pollen induced symptoms D Voukantsis, K Karatzas, S Jaeger, U Berger Engineering Applications of Neural Networks: 12th INNS EANN-SIG …, 2011 | 3 | 2011 |
| Liver glycogen phosphorylase is upregulated in glioblastoma and provides a metabolic vulnerability to high dose radiation CE Zois, AM Hendriks, S Haider, E Pires, E Bridges, D Kalamida, ... Cell death & disease 13 (6), 573, 2022 | 2 | 2022 |
| Predicting daily ragweed pollen concentrations using neural networks and tree algorithms over Lyon (France) and Szeged (Hungary) Z Csépe, L Makra, D Voukantsis, I Matyasovszky, G Tusnády, K Karatzas, ... ACTA CLIMATOLOGICA ET CHOROLOGICA 47, 17-32, 2014 | 2 | 2014 |
