Lia Morra

Rosario Milazzo

Medical Image Anal., 2025

2024

Drift Detection for Black-Box Deep Learning Models.

[BibT_eX]

[DOI]

Luca Piano

Fabio Garcea

Andrea Cavallone

Ignacio Aparicio Vazquez

IT Prof., 2024

For a semiotic AI: Bridging computer vision and visual semiotics for computational observation of large scale facial image archives.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2024

Latent Diffusion Models for Attribute-Preserving Image Anonymization.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing Neuro-Symbolic Integration with Focal Loss: A Study on Logic Tensor Networks.

[BibT_eX]

[DOI]

Luca Piano

Proceedings of the Neural-Symbolic Learning and Reasoning - 18th International Conference, 2024

Probing LLMs for Logical Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Neural-Symbolic Learning and Reasoning - 18th International Conference, 2024

ESRA: a Neuro-Symbolic Relation Transformer for Autonomous Driving.

[BibT_eX]

[DOI]

Paolo Emmanuel Ilario Dimasi

Proceedings of the International Joint Conference on Neural Networks, 2024

Harnessing Foundation Models for Image Anonymization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Gaming, Entertainment, and Media Conference, 2024

On the Fault Tolerance of Self-Supervised Training in Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 27th International Symposium on Design & Diagnostics of Electronic Circuits & Systems, 2024

2023

Deep learning-based algorithm for postoperative glioblastoma MRI segmentation: a promising new tool for tumor burden assessment.

[BibT_eX]

[DOI]

Brain Informatics, December, 2023

MIXO: Mixture Of Experts-Based Visual Odometry for Multicamera Autonomous Systems.

[BibT_eX]

[DOI]

IEEE Trans. Consumer Electron., August, 2023

Using Temporal Convolutional Networks to estimate ball possession in soccer games.

[BibT_eX]

[DOI]

Expert Syst. Appl., August, 2023

Data augmentation for medical imaging: A systematic literature review.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2023

HOLMES: HOLonym-MEronym Based Semantic Inspection for Convolutional Image Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Explainable Artificial Intelligence, 2023

Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification.

[BibT_eX]

[DOI]

Luca Piano

Filippo Gabriele Pratticò

Lorenzo Lanari

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Designing Logic Tensor Networks for Visual Sudoku Puzzle Classification.

[BibT_eX]

[DOI]

Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

L-TReiD: Logic Tensor Transformer for Re-identification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Visual Computing - 18th International Symposium, 2023

Fuzzy Logic Visual Network (FLVN): A Neuro-Symbolic Approach for Visual Features Matching.

[BibT_eX]

[DOI]

Filippo Gabriele Pratticò

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

Toward a Realistic Benchmark for Out-of-Distribution Detection.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022

Comparing Algorithms for Aggressive Driving Event Detection Based on Vehicle Motion Data.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2022

Feature Matching-based Approaches to Improve the Robustness of Android Visual GUI Testing.

[BibT_eX]

[DOI]

ACM Trans. Softw. Eng. Methodol., 2022

Detecting Drift in Deep Learning: A Methodology Primer.

[BibT_eX]

[DOI]

IT Prof., 2022

PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

DatAndroid.

[BibT_eX]

[DOI]

Dataset, March, 2021

Comparing State-of-the-Art and Emerging Augmented Reality Interfaces for Autonomous Vehicle-to-Pedestrian Communication.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2021

Guest Editorial: Special Section on New Frontiers in Computing for Next-Generation Healthcare Systems.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput., 2021

Stress Detection in Computer Users From Keyboard and Mouse Dynamics.

[BibT_eX]

[DOI]

IEEE Trans. Consumer Electron., 2021

Breast Mass Detection With Faster R-CNN: On the Feasibility of Learning From Noisy Annotations.

[BibT_eX]

[DOI]

IEEE Access, 2021

Faster-LTN: A Neuro-Symbolic, End-to-End Object Detection Architecture.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

On the Use of Causal Models to Build Better Datasets.

[BibT_eX]

[DOI]

Fabio Garcea

Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

2020

SoccER: Computer graphics meets sports analytics for soccer event recognition.

[BibT_eX]

[DOI]

SoftwareX, 2020

An automatic computer vision pipeline for the in-line monitoring of freeze-drying processes.

[BibT_eX]

[DOI]

Comput. Ind., 2020

Artificial Intelligence in Consumer Electronics.

[BibT_eX]

[DOI]

Saraju P. Mohanty

IEEE Consumer Electron. Mag., 2020

Bridging the gap between Natural and Medical Images through Deep Colorization.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Slicing and Dicing Soccer: Automatic Detection of Complex Events from Spatio-Temporal Data.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020

Object Tracking Through Residual and Dense LSTMs.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020

iNNvestigate-GUI - Explaining Neural Networks Through an Interactive Visualization Tool.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2020

A Deep Learning Approach for Efficient Registration of Dual View Mammography.

[BibT_eX]

[DOI]

Sina Famouri

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2020

2019

Building Trust in Autonomous Vehicles: Role of Virtual Reality Driving Simulators in HMI Design.

[BibT_eX]

[DOI]

Filippo Gabriele Pratticò

Salvatore La Rosa

Paolo Montuschi

IEEE Trans. Veh. Technol., 2019

Benchmarking unsupervised near-duplicate image detection.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2019

Immersive Virtual Reality-Based Interfaces for Character Animation.

[BibT_eX]

[DOI]

IEEE Access, 2019

Automatic detection of canonical image orientation by convolutional neural networks.

[BibT_eX]

[DOI]

Sina Famouri

Huseyin Cagri Karakus

Proceedings of the IEEE 23rd International Symposium on Consumer Technologies, 2019

2018

Optimization of computer aided detection systems: An evolutionary approach.

[BibT_eX]

[DOI]

Nunzia Coccia

Tania Cerquitelli

Expert Syst. Appl., 2018

Mammographic density: Comparison of visual assessment with fully automatic calculation on a multivendor dataset.

[BibT_eX]

[DOI]

CoRR, 2018

2016

Data mining for better healthcare: A path towards automated data analysis?

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE International Conference on Data Engineering Workshops, 2016

2009

A fully automatic lesion detection method for DCE-MRI fat-suppressed breast images.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

Adaptive remapping procedure for electronic cleansing of fecal tagging CT colonography images.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

Characteristics of false positive findings in CT colonography CAD: a comparison of two fecal tagging regimens.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

2008

Computer aided detection of polyps in virtual colonoscopy with sameday faecal tagging.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, 2008

2004

Enhanced unsupervised segmentation of multispectral Magnetic Resonance images.

[BibT_eX]

[DOI]