2D and 3D face recognition: A survey AF Abate, M Nappi, D Riccio, G Sabatino Pattern recognition letters 28 (14), 1885-1906, 2007 | 1312 | 2007 |
Improving the prediction of heart failure patients’ survival using SMOTE and effective data mining techniques A Ishaq, S Sadiq, M Umer, S Ullah, S Mirjalili, V Rupapara, M Nappi IEEE access 9, 39707-39716, 2021 | 422 | 2021 |
Content-based image retrieval in medical applications TM Lehmann, MO Güld, C Thies, B Fischer, K Spitzer, D Keysers, H Ney, ... Methods of information in medicine 43 (04), 354-361, 2004 | 410 | 2004 |
Mobile iris challenge evaluation (MICHE)-I, biometric iris dataset and protocols M De Marsico, M Nappi, D Riccio, H Wechsler Pattern Recognition Letters 57, 17-23, 2015 | 239 | 2015 |
Firme: Face and iris recognition for mobile engagement M De Marsico, C Galdi, M Nappi, D Riccio Image and Vision Computing 32 (12), 1161-1172, 2014 | 198 | 2014 |
Speed-up in fractal image coding: comparison of methods M Polvere, M Nappi IEEE transactions on Image Processing 9 (6), 1002-1009, 2000 | 166 | 2000 |
Robust face recognition for uncontrolled pose and illumination changes M De Marsico, M Nappi, D Riccio, H Wechsler IEEE transactions on systems, man, and cybernetics: systems 43 (1), 149-163, 2012 | 156 | 2012 |
Moving face spoofing detection via 3D projective invariants M De Marsico, M Nappi, D Riccio, JL Dugelay 2012 5th IAPR International Conference on Biometrics (ICB), 73-78, 2012 | 152 | 2012 |
Emotion recognition by textual tweets classification using voting classifier (LR-SGD) A Yousaf, M Umer, S Sadiq, S Ullah, S Mirjalili, V Rupapara, M Nappi IEEE Access 9, 6286-6295, 2020 | 148 | 2020 |
A range/domain approximation error-based approach for fractal image compression R Distasi, M Nappi, D Riccio IEEE Transactions on Image Processing 15 (1), 89-97, 2005 | 145 | 2005 |
GANT: Gaze analysis technique for human identification V Cantoni, C Galdi, M Nappi, M Porta, D Riccio Pattern Recognition 48 (4), 1027-1038, 2015 | 141 | 2015 |
Discrepancy detection between actual user reviews and numeric ratings of Google App store using deep learning S Sadiq, M Umer, S Ullah, S Mirjalili, V Rupapara, M Nappi Expert Systems with Applications 181, 115111, 2021 | 137 | 2021 |
A haptic-based approach to virtual training for aerospace industry AF Abate, M Guida, P Leoncini, M Nappi, S Ricciardi Journal of Visual Languages & Computing 20 (5), 318-325, 2009 | 113 | 2009 |
Image compression by B-tree triangular coding R Distasi, M Nappi, S Vitulano IEEE Transactions on Communications 45 (9), 1095-1100, 1997 | 103 | 1997 |
Facial expression recognition with trade-offs between data augmentation and deep learning features S Umer, RK Rout, C Pero, M Nappi Journal of Ambient Intelligence and Humanized Computing, 1-15, 2022 | 99 | 2022 |
COVID-19: Automatic detection of the novel coronavirus disease from CT images using an optimized convolutional neural network A Castiglione, P Vijayakumar, M Nappi, S Sadiq, M Umer IEEE Transactions on Industrial Informatics 17 (9), 6480-6488, 2021 | 97 | 2021 |
Ear recognition by means of a rotation invariant descriptor AF Abate, M Nappi, D Riccio, S Ricciardi 18th international conference on pattern recognition (ICPR'06) 4, 437-440, 2006 | 91 | 2006 |
Impact of convolutional neural network and FastText embedding on text classification M Umer, Z Imtiaz, M Ahmad, M Nappi, C Medaglia, GS Choi, A Mehmood Multimedia Tools and Applications 82 (4), 5569-5585, 2023 | 89 | 2023 |
FARO: Face recognition against occlusions and expression variations M De Marsico, M Nappi, D Riccio IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2009 | 83 | 2009 |
Context aware ubiquitous biometrics in edge of military things A Castiglione, KKR Choo, M Nappi, S Ricciardi IEEE Cloud Computing 4 (6), 16-20, 2017 | 79 | 2017 |