| An image coding/decoding method based on direct and inverse fuzzy transforms F Di Martino, V Loia, I Perfilieva, S Sessa International Journal of Approximate Reasoning 48 (1), 110-131, 2008 | 210 | 2008 |
| A climate vulnerability and impact assessment model for complex urban systems C Apreda, V D’Ambrosio, F Di Martino Environmental Science & Policy 93, 11-26, 2019 | 105 | 2019 |
| Fragile watermarking tamper detection with images compressed by fuzzy transform F Di Martino, S Sessa Information Sciences 195, 62-90, 2012 | 91 | 2012 |
| Fuzzy transforms method in prediction data analysis F Di Martino, V Loia, S Sessa Fuzzy Sets and Systems 180 (1), 146-163, 2011 | 87 | 2011 |
| A segmentation method for images compressed by fuzzy transforms F Di Martino, V Loia, S Sessa Fuzzy sets and systems 161 (1), 56-74, 2010 | 70 | 2010 |
| Compression and decompression of images with discrete fuzzy transforms F Di Martino, S Sessa Information Sciences 177 (11), 2349-2362, 2007 | 69 | 2007 |
| Fuzzy transforms method and attribute dependency in data analysis F Di Martino, V Loia, S Sessa Information Sciences 180 (4), 493-505, 2010 | 68 | 2010 |
| PSO image thresholding on images compressed via fuzzy transforms F Di Martino, S Sessa Information Sciences 506, 308-324, 2020 | 51 | 2020 |
| Fuzzy transforms for compression and decompression of color videos F Di Martino, V Loia, S Sessa Information Sciences 180 (20), 3914-3931, 2010 | 49 | 2010 |
| The extended fuzzy C-means algorithm for hotspots in spatio-temporal GIS F Di Martino, S Sessa Expert Systems with Applications 38 (9), 11829-11836, 2011 | 48 | 2011 |
| A color image reduction based on fuzzy transforms F Di Martino, P Hurtik, I Perfilieva, S Sessa Information Sciences 266, 101-111, 2014 | 43 | 2014 |
| A fuzzy-based tool for modelization and analysis of the vulnerability of aquifers: a case study F Di Martino, S Sessa, V Loia International Journal of Approximate Reasoning 38 (1), 99-111, 2005 | 43 | 2005 |
| Digital watermarking in coding/decoding processes with fuzzy relation equations F Di Martino, S Sessa Soft Computing 10, 238-243, 2006 | 31 | 2006 |
| A novel quantum inspired genetic algorithm to initialize cluster centers in fuzzy C-means F Di Martino, S Sessa Expert Systems with Applications 191, 116340, 2022 | 29 | 2022 |
| Image reduction method based on the F-transform I Perfilieva, P Hurtik, FD Martino, S Sessa Soft Computing 21 (7), 1847-1861, 2017 | 29 | 2017 |
| A method in the compression/decompression of images using fuzzy equations and fuzzy similarities S Sessa, F DI MARTINO, V Loia Proceedings of Conference IFSA 2003, 524-527, 2003 | 29 | 2003 |
| A method for coding/decoding images by using fuzzy relation equations F Di Martino, V Loia, S Sessa Fuzzy Sets and Systems—IFSA 2003: 10th International Fuzzy Systems …, 2003 | 28 | 2003 |
| A novel fuzzy entropy-based method to improve the performance of the fuzzy C-means algorithm B Cardone, F Di Martino Electronics 9 (4), 554, 2020 | 26 | 2020 |
| A lightweight clustering–based approach to discover different emotional shades from social message streams F Di Martino, S Senatore, S Sessa International Journal of Intelligent Systems 34 (7), 1505-1523, 2019 | 26 | 2019 |
| Spatial analysis and fuzzy relation equations F Di Martino, S Sessa Advances in Fuzzy Systems 2011 (1), 429498, 2011 | 26 | 2011 |
