Lia Morra

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 53

Top Topics

Autonomous Vehicles

Automatic Detection

Visual Odometry

Top Venues

IEEE Trans. Veh. Technol.

Expert Syst. Appl.

Publications

Pietro Recalcati, Fabio Garcea, Luca Piano, Fabrizio Lamberti, Lia Morra
Toward a Realistic Benchmark for Out-of-Distribution Detection. CoRR (2024)
Rosario Milazzo, Vincenzo De Marco, Corrado De Sio, Sophie M. Fosson, Lia Morra, Luca Sterpone
On the Fault Tolerance of Self-Supervised Training in Convolutional Neural Networks. DDECS (2024)
Luca Piano, Pietro Basci, Fabrizio Lamberti, Lia Morra
Latent Diffusion Models for Attribute-Preserving Image Anonymization. CoRR (2024)
Lia Morra, Antonio Santangelo, Pietro Basci, Luca Piano, Fabio Garcea, Fabrizio Lamberti, Massimo Leone
For a semiotic AI: Bridging computer vision and visual semiotics for computational observation of large scale facial image archives. CoRR (2024)
Luca Piano, Pietro Basci, Fabrizio Lamberti, Lia Morra
Harnessing Foundation Models for Image Anonymization. GEM (2024)
Francesco Dibitonto, Fabio Garcea, André Panisson, Alan Perotti, Lia Morra
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers. CoRR (2024)
Luca Piano, Fabio Garcea, Andrea Cavallone, Ignacio Aparicio Vazquez, Lia Morra, Fabrizio Lamberti
Drift Detection for Black-Box Deep Learning Models. IT Prof. 26 (2) (2024)
Fabio Garcea, Alessio Serra, Fabrizio Lamberti, Lia Morra
Data augmentation for medical imaging: A systematic literature review. Comput. Biol. Medicine 152 (2023)
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, Luca Mainardi, Pietro Fiaschi, Diego Garbossa, Lia Morra
Deep learning-based algorithm for postoperative glioblastoma MRI segmentation: a promising new tool for tumor burden assessment. Brain Informatics 10 (1) (2023)
Matteo Borghesi, Lorenzo Dusty Costa, Lia Morra, Fabrizio Lamberti
Using Temporal Convolutional Networks to estimate ball possession in soccer games. Expert Syst. Appl. 223 (2023)
Pietro Recalcati, Fabio Garcea, Luca Piano, Fabrizio Lamberti, Lia Morra
Toward a Realistic Benchmark for Out-of-Distribution Detection. DSAA (2023)
Francesco Manigrasso, Lia Morra, Fabrizio Lamberti
Fuzzy Logic Visual Network (FLVN): A Neuro-Symbolic Approach for Visual Features Matching. ICIAP (2) (2023)
Luca Piano, Filippo Gabriele Pratticò, Alessandro Sebastian Russo, Lorenzo Lanari, Lia Morra, Fabrizio Lamberti
Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification. CoRR (2023)
Luca Piano, Filippo Gabriele Pratticò, Alessandro Sebastian Russo, Lorenzo Lanari, Lia Morra, Fabrizio Lamberti
Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification. WACV (2023)
Lia Morra, Andrea Biondo, Nicola Poerio, Fabrizio Lamberti
MIXO: Mixture Of Experts-Based Visual Odometry for Multicamera Autonomous Systems. IEEE Trans. Consumer Electron. 69 (3) (2023)
Francesco Dibitonto, Fabio Garcea, André Panisson, Alan Perotti, Lia Morra
HOLMES: HOLonym-MEronym Based Semantic Inspection for Convolutional Image Classifiers. xAI (2) (2023)
Francesco Manigrasso, Lia Morra, Fabrizio Lamberti
Fuzzy Logic Visual Network (FLVN): A neuro-symbolic approach for visual features matching. CoRR (2023)
Alessandro Sebastian Russo, Francesco Manigrasso, Fabrizio Lamberti, Lia Morra
L-TReiD: Logic Tensor Transformer for Re-identification. ISVC (2) (2023)
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
Designing Logic Tensor Networks for Visual Sudoku Puzzle Classification. NeSy (2023)
Luca Piano, Fabio Garcea, Valentina Gatteschi, Fabrizio Lamberti, Lia Morra
Detecting Drift in Deep Learning: A Methodology Primer. IT Prof. 24 (5) (2022)
Simone Martone, Francesco Manigrasso, Fabrizio Lamberti, Lia Morra
PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning. ICPR (2022)
Simone Martone, Francesco Manigrasso, Fabrizio Lamberti, Lia Morra
PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning. CoRR (2022)
Valentina Gatteschi, Alberto Cannavò, Fabrizio Lamberti, Lia Morra, Paolo Montuschi
Comparing Algorithms for Aggressive Driving Event Detection Based on Vehicle Motion Data. IEEE Trans. Veh. Technol. 71 (1) (2022)
Luca Ardito, Andrea Bottino, Riccardo Coppola, Fabrizio Lamberti, Francesco Manigrasso, Lia Morra, Marco Torchiano
Feature Matching-based Approaches to Improve the Robustness of Android Visual GUI Testing. ACM Trans. Softw. Eng. Methodol. 31 (2) (2022)
Lia Morra, Valentina Gatteschi, Saraju P. Mohanty, Yuan-Hao Chang
Guest Editorial: Special Section on New Frontiers in Computing for Next-Generation Healthcare Systems. IEEE Trans. Emerg. Top. Comput. 9 (3) (2021)
Sina Famouri, Lia Morra, Leonardo Mangia, Fabrizio Lamberti
Breast Mass Detection With Faster R-CNN: On the Feasibility of Learning From Noisy Annotations. IEEE Access 9 (2021)
Lucia Pepa, Antonio Sabatelli, Lucio Ciabattoni, Andrea Monteriù, Fabrizio Lamberti, Lia Morra
Stress Detection in Computer Users From Keyboard and Mouse Dynamics. IEEE Trans. Consumer Electron. 67 (1) (2021)
Francesco Manigrasso, Filomeno Davide Miro, Lia Morra, Fabrizio Lamberti
Faster-LTN: A Neuro-Symbolic, End-to-End Object Detection Architecture. ICANN (2) (2021)
Sina Famouri, Lia Morra, Leonardo Mangia, Fabrizio Lamberti
Breast Mass Detection with Faster R-CNN: On the Feasibility of Learning from Noisy Annotations. CoRR (2021)
Francesco Manigrasso, Filomeno Davide Miro, Lia Morra, Fabrizio Lamberti
Faster-LTN: a neuro-symbolic, end-to-end object detection architecture. CoRR (2021)
Filippo Gabriele Pratticò, Fabrizio Lamberti, Alberto Cannavò, Lia Morra, Paolo Montuschi
Comparing State-of-the-Art and Emerging Augmented Reality Interfaces for Autonomous Vehicle-to-Pedestrian Communication. CoRR (2021)
Fabio Garcea, Lia Morra, Fabrizio Lamberti
On the Use of Causal Models to Build Better Datasets. COMPSAC (2021)
Filippo Gabriele Pratticò, Fabrizio Lamberti, Alberto Cannavò, Lia Morra, Paolo Montuschi
Comparing State-of-the-Art and Emerging Augmented Reality Interfaces for Autonomous Vehicle-to-Pedestrian Communication. IEEE Trans. Veh. Technol. 70 (2) (2021)
Lia Morra, Francesco Manigrasso, Giuseppe Canto, Claudio Gianfrate, Enrico Guarino, Fabrizio Lamberti
Slicing and dicing soccer: automatic detection of complex events from spatio-temporal data. CoRR (2020)
Lia Morra, Luca Piano, Fabrizio Lamberti, Tatiana Tommasi
Bridging the gap between Natural and Medical Images through Deep Colorization. CoRR (2020)
Lia Morra, Saraju P. Mohanty, Fabrizio Lamberti
Artificial Intelligence in Consumer Electronics. IEEE Consumer Electron. Mag. 9 (3) (2020)
Lia Morra, Fabrizio Lamberti, Filippo Gabriele Pratticò, Salvatore La Rosa, Paolo Montuschi
Building Trust in Autonomous Vehicles: Role of Virtual Reality Driving Simulators in HMI Design. CoRR (2020)
Domenico Colucci, Lia Morra, Xiaoyang Zhang, Davide Fissore, Fabrizio Lamberti
An automatic computer vision pipeline for the in-line monitoring of freeze-drying processes. Comput. Ind. 115 (2020)
Fabio Garcea, Sina Famouri, Davide Valentino, Lia Morra, Fabrizio Lamberti
iNNvestigate-GUI - Explaining Neural Networks Through an Interactive Visualization Tool. ANNPR (2020)
Lia Morra, Francesco Manigrasso, Fabrizio Lamberti
SoccER: Computer graphics meets sports analytics for soccer event recognition. SoftwareX 12 (2020)
Lia Morra, Francesco Manigrasso, Giuseppe Canto, Claudio Gianfrate, Enrico Guarino, Fabrizio Lamberti
Slicing and Dicing Soccer: Automatic Detection of Complex Events from Spatio-Temporal Data. ICIAR (1) (2020)
Lia Morra, Luca Piano, Fabrizio Lamberti, Tatiana Tommasi
Bridging the gap between Natural and Medical Images through Deep Colorization. ICPR (2020)
Fabio Garcea, Alessandro Cucco, Lia Morra, Fabrizio Lamberti
Object Tracking Through Residual and Dense LSTMs. ICIAR (2) (2020)
Fabio Garcea, Alessandro Cucco, Lia Morra, Fabrizio Lamberti
Object Tracking through Residual and Dense LSTMs. CoRR (2020)
Sina Famouri, Lia Morra, Fabrizio Lamberti
A Deep Learning Approach for Efficient Registration of Dual View Mammography. ANNPR (2020)
Alberto Cannavò, Claudio Demartini, Lia Morra, Fabrizio Lamberti
Immersive Virtual Reality-Based Interfaces for Character Animation. IEEE Access 7 (2019)
Lia Morra, Sina Famouri, Huseyin Cagri Karakus, Fabrizio Lamberti
Automatic detection of canonical image orientation by convolutional neural networks. ISCT (2019)
Lia Morra, Fabrizio Lamberti
Benchmarking unsupervised near-duplicate image detection. Expert Syst. Appl. 135 (2019)
Lia Morra, Fabrizio Lamberti
Benchmarking unsupervised near-duplicate image detection. CoRR (2019)
Lia Morra, Fabrizio Lamberti, Filippo Gabriele Pratticò, Salvatore La Rosa, Paolo Montuschi
Building Trust in Autonomous Vehicles: Role of Virtual Reality Driving Simulators in HMI Design. IEEE Trans. Veh. Technol. 68 (10) (2019)
Lia Morra, Nunzia Coccia, Tania Cerquitelli
Optimization of computer aided detection systems: An evolutionary approach. Expert Syst. Appl. 100 (2018)
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
Mammographic density: Comparison of visual assessment with fully automatic calculation on a multivendor dataset. CoRR (2018)
Tania Cerquitelli, Elena Baralis, Lia Morra, Silvia Chiusano
Data mining for better healthcare: A path towards automated data analysis? ICDE Workshops (2016)
Anna Vignati, Valentina Giannini, Alberto Bert, Massimo De Luca, Lia Morra, Diego Persano, Laura Martincich, Daniele Regge
A fully automatic lesion detection method for DCE-MRI fat-suppressed breast images. Medical Imaging: Computer-Aided Diagnosis (2009)
Lia Morra, Silvia Delsanto, Delia Campanella, Daniele Regge, Alberto Bert
Adaptive remapping procedure for electronic cleansing of fecal tagging CT colonography images. Medical Imaging: Computer-Aided Diagnosis (2009)
Lia Morra, Silvia Delsanto, Silvano Agliozzo, Riccardo Baggio, Erika Belluccio, Loredana Correale, Dario Genova, Alberto Bert, Daniele Regge
Characteristics of false positive findings in CT colonography CAD: a comparison of two fecal tagging regimens. Medical Imaging: Computer-Aided Diagnosis (2009)
Silvia Delsanto, Lia Morra, Silvano Agliozzo, Riccardo Baggio, Delia Campanella, Vincenzo Tartaglia, Francesca Cerri, Franco Iafrate, Emanuele Neri, Andrea Laghi, Daniele Regge
Computer aided detection of polyps in virtual colonoscopy with sameday faecal tagging. Medical Imaging: Computer-Aided Diagnosis (2008)
Lia Morra, Silvia Delsanto, Leonardo Reyneri
Enhanced unsupervised segmentation of multispectral Magnetic Resonance images. ESANN (2004)