| GENNARO VESSIO received the M.Sc. degree (Hons.) in Computer Science and the Ph.D. degree in Computer Science and Mathematics from the Computer Science Department, University of Bari, Italy, in 2013 and 2017, respectively, where he is currently an Assistant Professor. His current research interests include pattern recognition, machine and deep learning, and computer vision. He has coauthored articles in these fields, appeared in both international journals and conferences, such as Pattern Recognition Letters, IEEE Access and Cognitive Computation. He served as a reviewer for many international journals, including Information Sciences and Multimedia Tools and Applications, and has been a part of the Program Committee of many international conferences, such as IJCAI and SEKE. He is currently member of the INdAM-GNCS society, the IAPR Technical Committee 19, AIxIA, GRIN and CINI-AIIS. |
- Lella, E., Vessio, G., "Ensembling complex network 'perspectives' for mild cognitive impairment detection with artificial neural networks", Pattern Recognition Letters, 136, 168-174, Elsevier, ISSN: 0167-8655, 2020
- Castellano, G., Castiello, C., Mencar, C., Vessio, G., "Crowd Detection in Aerial Images using Spatial Graphs and Fully-Convolutional Neural Networks", IEEE Access, 8(1), 64534-64544, Institute of Electrical and Electronics Engineers, ISSN: 2169-3536, 2020
- Vessio, G., "Dynamic Handwriting Analysis for Neurodegenerative Disease Assessment: A Literary Review", Applied Sciences, 9(21), 4666, Multidisciplinary Digital Publishing Institute, ISSN: 2076-3417, 2019
- Diaz, M., Ferrer, M. A., Impedovo, D., Pirlo, G., Vessio, G., "Dynamically enhanced static handwriting representation for Parkinson's disease detection", Pattern Recognition Letters, 128, 204-210, Elsevier, ISSN: 0167-8655, 2019
- Impedovo, D., Pirlo, G., Vessio, G., Angelillo, M. T., "A Handwriting-Based Protocol for Assessing Neurodegenerative Dementia", Cognitive Computation, 11(4), 576-586, Springer, ISSN: 1866-9956, 2019
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