Lia Morra

According to our database, Lia Morra authored at least 41 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Latent Diffusion Models for Attribute-Preserving Image Anonymization.

Luca Piano, Pietro Basci, Fabrizio Lamberti, Lia Morra

CoRR, 2024

2023

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

Andrea Bianconi, Luca Francesco Rossi, Marta Bonada, Pietro Zeppa, Elsa Nico, Raffaele De Marco, Paola Lacroce, Fabio Cofano, Francesco Bruno, Giovanni Morana, Antonio Melcarne, Roberta Ruda, LuLuca T. Mainardi, Pietro Fiaschi, Diego Garbossa, Lia Morra

Brain Informatics, December, 2023

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

Lia Morra, Andrea Biondo, Nicola Poerio, Fabrizio Lamberti

IEEE Trans. Consumer Electron., August, 2023

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

Matteo Borghesi, Lorenzo Dusty Costa, Lia Morra, Fabrizio Lamberti

Expert Syst. Appl., August, 2023

Data augmentation for medical imaging: A systematic literature review.

Fabio Garcea, Alessio Serra, Fabrizio Lamberti, Lia Morra

Comput. Biol. Medicine, 2023

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

Francesco Dibitonto, Fabio Garcea, André Panisson, Alan Perotti, Lia Morra

Proceedings of the Explainable Artificial Intelligence, 2023

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

Luca Piano, Filippo Gabriele Pratticò, Alessandro Sebastian Russo, Lorenzo Lanari, Lia Morra, Fabrizio Lamberti

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

Designing Logic Tensor Networks for Visual Sudoku Puzzle Classification.

Lia Morra, Alberto Azzari, Letizia Bergamasco, Marco Braga, Luigi Capogrosso, Federico Delrio, Giuseppe Di Giacomo, Simone Eiraudo, Giorgia Ghione, Rocco Giudice, Alkis Koudounas, Luca Piano, Daniele Rege Cambrin, Matteo Risso, Marco Rondina, Alessandro Sebastian Russo, Marco Russo, Francesco Taioli, Lorenzo Vaiani, Chiara Vercellino

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

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

Alessandro Sebastian Russo, Francesco Manigrasso, Fabrizio Lamberti, Lia Morra

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

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

Francesco Manigrasso, Lia Morra, Fabrizio Lamberti

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

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

Pietro Recalcati, Fabio Garcea, Luca Piano, Fabrizio Lamberti, Lia Morra

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.

Valentina Gatteschi, Alberto Cannavò, Fabrizio Lamberti, Lia Morra, Paolo Montuschi

IEEE Trans. Veh. Technol., 2022

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

Luca Ardito, Andrea Bottino, Riccardo Coppola, Fabrizio Lamberti, Francesco Manigrasso, Lia Morra, Marco Torchiano

ACM Trans. Softw. Eng. Methodol., 2022

Detecting Drift in Deep Learning: A Methodology Primer.

Luca Piano, Fabio Garcea, Valentina Gatteschi, Fabrizio Lamberti, Lia Morra

IT Prof., 2022

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

Simone Martone, Francesco Manigrasso, Fabrizio Lamberti, Lia Morra

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

2021

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

Filippo Gabriele Pratticò, Fabrizio Lamberti, Alberto Cannavò, Lia Morra, Paolo Montuschi

IEEE Trans. Veh. Technol., 2021

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

Lia Morra, Valentina Gatteschi, Saraju P. Mohanty, Yuan-Hao Chang

IEEE Trans. Emerg. Top. Comput., 2021

Stress Detection in Computer Users From Keyboard and Mouse Dynamics.

Lucia Pepa, Antonio Sabatelli, Lucio Ciabattoni, Andrea Monteriù, Fabrizio Lamberti, Lia Morra

IEEE Trans. Consumer Electron., 2021

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

Sina Famouri, Lia Morra, Leonardo Mangia, Fabrizio Lamberti

IEEE Access, 2021

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

Francesco Manigrasso, Filomeno Davide Miro, Lia Morra, Fabrizio Lamberti

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

On the Use of Causal Models to Build Better Datasets.

Fabio Garcea, Lia Morra, Fabrizio Lamberti

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

2020

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

Lia Morra, Francesco Manigrasso, Fabrizio Lamberti

SoftwareX, 2020

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

Domenico Colucci, Lia Morra, Xiaoyang Zhang, Davide Fissore, Fabrizio Lamberti

Comput. Ind., 2020

Artificial Intelligence in Consumer Electronics.

Lia Morra, Saraju P. Mohanty, Fabrizio Lamberti

IEEE Consumer Electron. Mag., 2020

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

Lia Morra, Luca Piano, Fabrizio Lamberti, Tatiana Tommasi

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

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

Lia Morra, Francesco Manigrasso, Giuseppe Canto, Claudio Gianfrate, Enrico Guarino, Fabrizio Lamberti

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

Object Tracking Through Residual and Dense LSTMs.

Fabio Garcea, Alessandro Cucco, Lia Morra, Fabrizio Lamberti

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

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

Fabio Garcea, Sina Famouri, Davide Valentino, Lia Morra, Fabrizio Lamberti

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2020

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

Sina Famouri, Lia Morra, Fabrizio Lamberti

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.

Lia Morra, Fabrizio Lamberti, Filippo Gabriele Pratticò, Salvatore La Rosa, Paolo Montuschi

IEEE Trans. Veh. Technol., 2019

Benchmarking unsupervised near-duplicate image detection.

Lia Morra, Fabrizio Lamberti

Expert Syst. Appl., 2019

Immersive Virtual Reality-Based Interfaces for Character Animation.

Alberto Cannavò, Claudio Demartini, Lia Morra, Fabrizio Lamberti

IEEE Access, 2019

Automatic detection of canonical image orientation by convolutional neural networks.

Lia Morra, Sina Famouri, Huseyin Cagri Karakus, Fabrizio Lamberti

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

2018

Optimization of computer aided detection systems: An evolutionary approach.

Lia Morra, Nunzia Coccia, Tania Cerquitelli

Expert Syst. Appl., 2018

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

Daniela Sacchetto, Lia Morra, Silvano Agliozzo, Daniela Bernardi, Tomas Björklund, Beniamino Brancato, Patrizia Bravetti, Luca A. Carbonaro, Loredana Correale, Carmen Fantò, Elisabetta Favettini, Laura Martincich, Luisella Milanesio, Sara Mombelloni, Francesco Monetti, Doralba Morrone, Marco Pellegrini, Barbara Pesce, Antonella Petrillo, Gianni Saguatti, Carmen Stevanin, Rubina M. Trimboli, Paola Tuttobene, Marvi Valentini, Vincenzo Marra, Alfonso Frigerio, Alberto Bert, Francesco Sardanelli

CoRR, 2018

2016

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

Tania Cerquitelli, Elena Baralis, Lia Morra, Silvia Chiusano

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.

Anna Vignati, Valentina Giannini, Alberto Bert, Massimo De Luca, Lia Morra, Diego Persano, Laura Martincich, Daniele Regge

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

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

Lia Morra, Silvia Delsanto, Delia Campanella, Daniele Regge, Alberto Bert

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.

Lia Morra, Silvia Delsanto, Silvano Agliozzo, Riccardo Baggio, Erika Belluccio, Loredana Correale, Dario Genova, Alberto Bert, Daniele Regge

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

2008

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

Silvia Delsanto, Lia Morra, Silvano Agliozzo, Riccardo Baggio, Delia Campanella, Vincenzo Tartaglia, Francesca Cerri, Franco Iafrate, Emanuele Neri, Andrea Laghi, Daniele Regge

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

2004

Enhanced unsupervised segmentation of multispectral Magnetic Resonance images.

Lia Morra, Silvia Delsanto, Leonardo Reyneri

Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004