| Machine learning for quantitative finance applications: A survey F Rundo, F Trenta, AL Di Stallo, S Battiato Applied Sciences 9 (24), 5574, 2019 | 138 | 2019 |
| Advanced motion-tracking system with multi-layers deep learning framework for innovative car-driver drowsiness monitoring F Trenta, S Conoci, F Rundo, S Battiato 2019 14th IEEE International Conference on Automatic Face & Gesture …, 2019 | 45 | 2019 |
| Grid trading system robot (GTSbot): A novel mathematical algorithm for trading FX market F Rundo, F Trenta, AL di Stallo, S Battiato Applied Sciences 9 (9), 1796, 2019 | 42 | 2019 |
| Advanced Markov-based machine learning framework for making adaptive trading system F Rundo, F Trenta, AL Di Stallo, S Battiato Computation 7 (1), 4, 2019 | 42 | 2019 |
| Detection and classification of pollen grain microscope images S Battiato, A Ortis, F Trenta, L Ascari, M Politi, C Siniscalco Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 36 | 2020 |
| Pollen13k: a large scale microscope pollen grain image dataset S Battiato, A Ortis, F Trenta, L Ascari, M Politi, C Siniscalco 2020 IEEE International Conference on Image Processing (ICIP), 2456-2460, 2020 | 24 | 2020 |
| 3d non-local neural network: A non-invasive biomarker for immunotherapy treatment outcome prediction. case-study: Metastatic urothelial carcinoma F Rundo, GL Banna, L Prezzavento, F Trenta, S Conoci, S Battiato Journal of Imaging 6 (12), 133, 2020 | 15 | 2020 |
| Advanced 1d temporal deep dilated convolutional embedded perceptual system for fast car-driver drowsiness monitoring F Rundo, C Spampinato, S Battiato, F Trenta, S Conoci 2020 AEIT International Conference of Electrical and Electronic Technologies …, 2020 | 13 | 2020 |
| Pollen Grain Classification Challenge 2020: Challenge Report S Battiato, F Guarnera, A Ortis, F Trenta, L Ascari, C Siniscalco, ... International Conference on Pattern Recognition, 469-479, 2021 | 11 | 2021 |
| Innovative saliency based deep driving scene understanding system for automatic safety assessment in next-generation cars F Rundo, S Conoci, S Battiato, F Trenta, C Spampinato 2020 AEIT International Conference of Electrical and Electronic Technologies …, 2020 | 11 | 2020 |
| Image processing method and corresponding system F Rundo, F Trenta, S Conoci, S Battiato US Patent 11,471,084, 2022 | 10 | 2022 |
| Deep neuro-vision embedded architecture for safety assessment in perceptive advanced driver assistance systems: the pedestrian tracking system use-case F Rundo, S Conoci, C Spampinato, R Leotta, F Trenta, S Battiato Frontiers in neuroinformatics 15, 667008, 2021 | 8 | 2021 |
| Benchmarking of computer vision algorithms for driver monitoring on automotive-grade devices S Battiato, S Conoci, R Leotta, A Ortis, F Rundo, F Trenta 2020 AEIT International Conference of Electrical and Electronic Technologies …, 2020 | 8 | 2020 |
| Advanced non-linear generative model with a deep classifier for immunotherapy outcome prediction: A bladder cancer case study F Rundo, GL Banna, F Trenta, C Spampinato, L Bidaut, X Ye, S Kollias, ... Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | 6 | 2021 |
| Car-driver drowsiness monitoring by multi-layers deep learning framework and motion analysis F Rundo, S Conoci, F Trenta, S Battiato Sensors and Microsystems: Proceedings of the 20th AISEM 2019 National …, 2020 | 6 | 2020 |
| Advanced temporal dilated convolutional neural network for a robust car driver identification F Rundo, F Trenta, R Leotta, C Spampinato, V Piuri, S Conoci, RD Labati, ... Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | 4 | 2021 |
| An explainable medical imaging framework for modality classifications trained using small datasets F Trenta, S Battiato, D Ravė International Conference on Image Analysis and Processing, 358-367, 2022 | 3 | 2022 |
| Fine-Grained Image Classification for Pollen Grain Microscope Images F Trenta, A Ortis, S Battiato Lecture Notes in Computer Science 13052, 341-351, 2021 | 3 | 2021 |
| Interpretable deep model for predicting gene-addicted non-small-cell lung cancer in ct scans C Pino, S Palazzo, F Trenta, F Cordero, U Bagci, F Rundo, S Battiato, ... 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 891-894, 2021 | 2 | 2021 |
| Deep bio-sensing embedded system for a robust car-driving safety assessment F Rundo, C Spampinato, S Conoci, F Trenta, S Battiato 2020 AEIT International Conference of Electrical and Electronic Technologies …, 2020 | 2 | 2020 |
Sebastiano BattiatoFull Professor, University of Catania - IPLab (Image Processing lab) - ICTLabVerified email at dmi.unict.it
