Pubblicazioni

ArcheoWeedNet: Weed Classification inÂ theÂ Parco archeologico del Colosseo

2024 - Image Analysis and Processing - ICIAP 2023 Workshops

Saurio, G.; Muscas, M.; Spinelli, I.; Rughetti, V.; Della Giovampaola, I.; Scardapane, S.

Hierarchical Fine-Grained Image Forgery Detection and Localization

2023 - Hierarchical Fine-Grained Image Forgery Detection and Localization

Guo, Xiao; Liu, Xiaohong; Ren, Zhiyuan; Grosz, Steven; Masi, Iacopo; Liu, Xiaoming

Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels

2023 - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Bucarelli, MARIA SOFIA; Cassano, Lucas; Siciliano, Federico; Mantrach, Amin; Silvestri, Fabrizio

Neurosymbolic Integration of Linear Temporal Logic in Non Symbolic Domains

2023 - Multi-Agent Systems - 20th European Conference, {EUMAS} 2023, Naples, Italy, September 14-15, 2023, Proceedings

Umili, Elena

Poster: Human Presence Detection After Earthquakes: An AI-Based Implicit User Interface on the Smartphone

2023 - CHItaly '23: Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter

Bassetti, Enrico; Cavallaccio, Gianmarco; DE MARSICO, Maria; Panizzi, Emanuele

Adversarial Attacks Against Uncertainty Quantification

2023 - Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2023

Ledda, Emanuele; Angioni, Daniele; Piras, Giorgio; Fumera, Giorgio; Biggio, Battista; Roli, Fabio

A U-Net Based Architecture for Automatic Music Transcription

2023 - 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)

Scarpiniti, Michele; Sigismondi, Edoardo; Comminiello, Danilo; Uncini, Aurelio

Comparison of Traffic Control with Model Predictive Control and Deep Reinforcement Learning

2023 - Proceedings of the 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)

Imran, Muhammad; Izzo, Riccardo; Tortorelli, Andrea; Liberati, Francesco

Deep Learning Enhanced Microwave Imaging for Brain Diagnostics

2023 - 17th European Conference on Antennas and Propagation, EuCAP 2023

Ninkovic, D.; Yago Ruiz, A.; Cavagnaro, M.; Kolundzija, B.; Crocco, L.; Nikolic Stevanovic, M.

A Method for Robust and Explainable Image-Based Network Traffic Classification with Deep Learning

2023 - Proceedings of the 20th International Conference on Security and Cryptography

Hattak, Amine; Mercaldo, Francesco; Iadarola, Giacomo; Martinelli, Fabio; Santone, Antonella

Adaptive Estimation of the Pennes' Bio-Heat Equation - I: Observer Design

2023 - 2023 IEEE 62nd Conference on Decision and Control (CDC)

Cristofaro, A.; Cappellini, G.; Staffetti, E.; Trappolini, G.; Vendittelli, M.

Adaptive Estimation of the Pennes' Bio-Heat Equation - II: A NN-Based Implementation for Real-Time Applications

2023 - 2023 IEEE 62nd Conference on Decision and Control (CDC)

Cappellini, G.; Trappolini, G.; Staffetti, E.; Cristofaro, A.; Vendittelli, M.

Tracin in Semantic Segmentation of Tumor Brains in MRI, an Extended Approach

2023 - Proceedings of the 2nd AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2023)

Torda, T.; Gargiulo, S.; Grillo, G.; Ciardiello, A.; Voena, C.; Giagu, S.; Scardapane, S.

Enhancing Sentiment Analysis on SEED-IV Dataset with Vision Transformers: A Comparative Study

2023 - ACM International Conference Proceeding Series

Tibermacine, I. E.; Tibermacine, A.; Guettala, W.; Napoli, C.; Russo, S.

Medicinal Boxes Recognition on a Deep Transfer Learning Augmented Reality Mobile Application

2022 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Avola, D.; Cinque, L.; Fagioli, A.; Foresti, G. L.; Marini, M. R.; Mecca, A.; Pannone, D.

Analyzing EEG Data with Machine and Deep Learning: A Benchmark

2022 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Avola, D.; Cascio, M.; Cinque, L.; Fagioli, A.; Foresti, G. L.; Marini, M. R.; Pannone, D.

Real-time monocular depth estimation on embedded devices: challenges and performances in terrestrial and underwater scenarios

2022 - IEEE International Workshop on Metrology for the Sea

Papa, Lorenzo; Russo, Paolo; Amerini, Irene

Ricerc@Sapienza

Pubblicazioni

ArcheoWeedNet: Weed Classification inÂ theÂ Parco archeologico del Colosseo

Hierarchical Fine-Grained Image Forgery Detection and Localization

Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels

Neurosymbolic Integration of Linear Temporal Logic in Non Symbolic Domains

Poster: Human Presence Detection After Earthquakes: An AI-Based Implicit User Interface on the Smartphone

Adversarial Attacks Against Uncertainty Quantification

A U-Net Based Architecture for Automatic Music Transcription

Comparison of Traffic Control with Model Predictive Control and Deep Reinforcement Learning

Deep Learning Enhanced Microwave Imaging for Brain Diagnostics

A Method for Robust and Explainable Image-Based Network Traffic Classification with Deep Learning

Adaptive Estimation of the Pennes' Bio-Heat Equation - I: Observer Design

Adaptive Estimation of the Pennes' Bio-Heat Equation - II: A NN-Based Implementation for Real-Time Applications

Tracin in Semantic Segmentation of Tumor Brains in MRI, an Extended Approach

Enhancing Sentiment Analysis on SEED-IV Dataset with Vision Transformers: A Comparative Study

Medicinal Boxes Recognition on a Deep Transfer Learning Augmented Reality Mobile Application

Analyzing EEG Data with Machine and Deep Learning: A Benchmark

Real-time monocular depth estimation on embedded devices: challenges and performances in terrestrial and underwater scenarios

A price-aware dynamic decision system in energy communities

MaleficNet: Hiding Malware intoÂ Deep Neural Networks Using Spread-Spectrum Channel Coding

Deep Learning-Based Assessment of Facial Periodic Affect in Work-Like Settings

Detection accuracy forÂ evaluating compositional explanations ofÂ units

Evaluating Adversarial Attacks and Defences in Infrared Deep Learning Monitoring Systems

Detecting and Understanding Harmful Memes: A Survey

Graph Convolutional Networks with Autoencoder-Based Compression and Multi-Layer Graph Learning

Brain Computer Interface: Deep Learning Approach to Predict Human Emotion Recognition