Francesco Rundo

Francesco Rundo

Francesco Rundo

Assistant Professor

Publications

Francesco Guarnera, Alessia Rondinella , Oliver Giudice, Alessandro Ortis, Sebastiano Battiato, Francesco Rundo, Giorgio Fallica, Francesco Traina, Sabrina Conoci. Early Detection of Hip Periprosthetic Joint Infections Through CNN on Computed Tomography Images. Image Analysis and Processing – ICIAP 2023. 2023.
A. Rondinella, F. Guarnera, O. Giudice, A. Ortis, F. Rundo, S. Battiato. Attention-Based Convolutional Neural Network for CT Scan COVID-19 Detection. 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW). 2023.
Massimo Orazio Spata, Sebastiano Battiato, Alessandro Ortis, Francesco Rundo, Michele Calabretta, Carmelo Pino, Angelo Messina. Deep Learning Algorithm for Advanced Level-3 Inverse-Modeling of Silicon-Carbide Power MOSFET Devices. ICCSS 2023. 2023.
Francesco Rundo, Ilaria Anfuso, Maria Grazia Amore, Alessandro Ortis, Angelo Messina, Sabrina Conoci, Sebastiano Battiato. Advanced eNose-driven pedestrian tracking pipeline for intelligent car driver assisting system: preliminary results. Sensors. 2022.
Francesco Rundo, Roberto Leotta, Francesca Trenta, Giovanni Bellitto, Federica Proietto Salanitri, Vincenzo Piuri, Angelo Genovese, Ruggero Donida Labati, Fabio Scotti, Concetto Spampinato, Sebastiano Battiato. Advanced Car Driving Assistant System: A Deep Non-local Pipeline Combined with 1D Dilated CNN for Safety Driving. IMPROVE. 2021.
Francesco Rundo, Francesca Trenta, Roberto Leotta, Sebastiano Battiato. Deep Visio-PhotoPlethysmoGraphy Reconstruction Pipeline for Non-invasive Cuff-less Blood Pressure Estimation. IMPROVE. 2021.
Carmelo Pino, Simone Palazzo, Francesca Trenta, Francesca Cordero, Ulas Bagci, Francesco Rundo, Sebastiano Battiato, Daniela Giordano, Marco Aldinucci, Concetto Spampinato. Interpretable Deep Model For Predicting Gene-Addicted Non-Small-Cell Lung Cancer In Ct Scans. 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI). 2021.
Francesco Rundo, Francesca Trenta, Roberto Leotta, Concetto Spampinato, Vincenzo Piuri, Sabrina Conoci, Ruggero Donida Labati, Fabio Scotti, Sebastiano Battiato. Advanced Temporal Dilated Convolutional Neural Network for a Robust Car Driver Identification. ICPR Workshop 2020 - TC4 Workshop on Mobile and Wearable Biometrics (WMWB). 2021.
Francesco Rundo, Giuseppe Luigi Banna, Francesca Trenta, Concetto Spampinato, Luc Bidaut, Xujiong Ye, Stefanos Kollias, Sebastiano Battiato. Advanced Non-Linear Generative Model with a Deep Classifier for Immunotherapy Outcome Prediction: A Bladder Cancer Case Study. Pattern Recognition. ICPR International Workshops and Challenges: Virtual Event, January 10--15, 2021, Proceedings, Part I. 2021.
Alessandro Ortis, Marco Grisanti, Francesco Rundo, Sebastiano Battiato. A Benchmark Evaluation of Adaptive Image Compression for Multi Picture Object Stereoscopic Images. Journal of Imaging. 2021.
Francesco Rundo, Giuseppe Luigi Banna, Luca Prezzavento, Francesca Trenta, Sabrina Conoci, Sebastiano Battiato. 3D Non-Local Neural Network: A Non-Invasive Biomarker for Immunotherapy Treatment Outcome Prediction. Case-Study: Metastatic Urothelial Carcinoma. Journal of Imaging. 2020.
Francesco Rundo, Concetto Spampinato, Sebastiano Battiato, Francesca Trenta, Sabrina Conoci. Advanced 1D Temporal Deep Dilated Convolutional Embedded Perceptual System for Fast Car-Driver Drowsiness Monitoring. AEIT Automotive 2020. 2020.
Sebastiano Battiato, Roberto Leotta, Alessandro Ortis, Sabrina Conoci, Francesco Rundo, Francesca Trenta. Benchmarking of Computer Vision Algorithms for Driver Monitoring on Automotive-grade Devices. AEIT Automotive 2020. 2020.
Francesco Rundo, Concetto Spampinato, Sabrina Conoci, Francesca Trenta, Sebastiano Battiato. Deep Bio-Sensing Embedded System for a Robust Car-Driving Safety Assessment. AEIT Automotive 2020. 2020.
Francesco Rundo, Sabrina Conoci, Sebastiano Battiato, Francesca Trenta, Concetto Spampinato. Innovative Saliency based Deep Driving Scene Understanding System for Automatic Safety Assessment in Next-Generation Cars. AEIT Automotive 2020. 2020.
Francesco Rundo, Francesca Trenta, Sabrina Conoci, Sebastiano Battiato. Image processing method and corresponding system. . 2020.
Sebastiano Battiato, Sabrina Conoci, Roberto Leotta, Alessandro Ortis, Francesco Rundo, Francesca Trenta. Benchmarking of computer vision algorithms for driver monitoring on automotive-grade devices. 2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE). 2020.
Francesco Rundo, Francesca Trenta, Agatino Luigi di Stallo, Sebastiano Battiato. Machine learning for quantitative finance applications: A survey. Applied Sciences. 2019.
Francesco Rundo, Alessandro Ortis, Sebastiano Battiato, Sabrina Conoci. Advanced Multi-neural System for Cuff-less Blood Pressure Estimation through Nonlinear HC-features. Proceedings of the 16th International Joint Conference on e-Business and Telecommunications. 2019.
Francesca Trenta, Sabrina Conoci, Francesco Rundo, Sebastiano Battiato. Advanced motion-tracking system with multi-layers deep learning framework for innovative car-driver drowsiness monitoring. 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019). 2019.
Francesco Rundo, Francesca Trenta, Agatino Luigi di Stallo, Sebastiano Battiato. Grid trading system robot (GTSbot): A novel mathematical algorithm for trading FX market. Applied Sciences. 2019.
Francesco Rundo, Sabrina Conoci, Francesca Trenta, Sebastiano Battiato. Car-Driver Drowsiness Monitoring by Multi-layers Deep Learning Framework and Motion Analysis. AISEM Annual Conference on Sensors and Microsystems. 2019.
Francesco Rundo, Francesca Trenta, Agatino Luigi Di Stallo, Sebastiano Battiato. Advanced Markov-based machine learning framework for making adaptive trading system. Computation. 2019.
Francesco Rundo, Sabrina Conoci, Giuseppe L. Banna, Alessandro Ortis, Filippo Stanco, Sebastiano Battiato. Evaluation of Levenberg–Marquardt neural networks and stacked autoencoders clustering for skin lesion analysis, screening and follow-up. IET Computer Vision. 2018.
Ortis A, Rundo F, Di Giore, BATTIATO S.. Adaptive Compression of Stereoscopic Images. Proceedings of International Conference on Image Analysis and Processing. 2013.
. Advanced Topics in Computer Vision. ADVANCES IN COMPUTER VISION AND PATTERN RECOGNITION. 2013.
. Machine Learning for Computer Vision. STUDIES IN COMPUTATIONAL INTELLIGENCE. 2012.
A. VICARI G. BILOTTA, S. BONFIGLIO, A. CAPPELLO, G. GANCI, A, HÉRAULT, E. RUSTICO, GALLO G., C. DEL NEGRO. LAV@HAZARD: A web-gis interface for volcanic hazard assessment. ANNALS OF GEOPHYSICS. 2011.
BATTIATO S., F. RUNDO. A Bio-Inspired CNN with Re-Indexing Engine for Lossless Dna Microarray Compression and Segmentation. In Proceedings of IEEE ICIP 2009 - International Conference on Image Processing. 2009.
BATTIATO S., F. RUNDO, F. STANCO. An Improved Image Re-Indexing Technique by Self Organizing Motor Maps. Proceedings of IAPR 2nd Computational Color Imaging Workshop - CCIW'09 - Saint Etienne, March 2009 - Lecture Notes in Computer Science - vol. 5646. 2009.
BATTIATO S., F. RUNDO, F. STANCO. ALZ: Adaptive Learning for Zooming Digital Images. Proceedings of IEEE ICCE 2007. 2007.
BATTIATO S., F. RUNDO, F. STANCO. Self Organizing Motor Maps for Colour Mapped Image Re-indexing. IEEE TRANSACTIONS ON IMAGE PROCESSING. 2007.
BATTIATO S., E.U. GIUFFRIDA, F. RUNDO. A Cellular Neural Network for Zooming Digital Colour Images. IEEE ICCE 2008 - International Conference on Consumer Electronics. 2000.
BATTIATO S., F. RUNDO. A Novel Chaotic Coding System For Lossy Image Compression. VISAPP 2008 – Third International Conference on Computer Vision Theory and Applications. 2000.
. Registration, Recognition in Images and Video. STUDIES IN COMPUTATIONAL INTELLIGENCE. 2000.