Lia Morra

70 papers A 1B 6C 2Journal 41Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
Boosting zero-shot learning through neuro-symbolic integration.
Pattern Recognit.
Francesco Manigrasso, Fabrizio Lamberti, Lia Morra
2026 J jnl
Neurosymbolic AI in Computer Vision: Toward More Interpretable, Efficient, Generalized, and Logical Visual Understanding Systems.
IT Prof.
Alessandro Russo, Lia Morra, Fabrizio Lamberti
2025 J jnl
$\gamma$-Razor: Hardness-Aware Dataset Pruning for Efficient Neural Network Training.
IEEE Trans. Comput. Soc. Syst.
Lei Liu, Peng Zhang, Yunji Liang, Junrui Liu, Lia Morra, Bin Guo, Zhiwen Yu, Yanyong Zhang, Daniel Dajun Zeng
2025 — conf
A Deep Learning Model to Predict GNSS from InSAR Data.
ICIAP (Workshops 1)
Michelangelo Caretto, Antonio Alliegro, Rosario Milazzo, Osmari Aponte, Andrea Gatti, Eugenio Realini, Lia Morra, Tatiana Tommasi
2025 — conf
Fault Tolerant Multi-object Tracking via Temporal Consistency Filtering.
ICIAP (2)
Rosario Milazzo, Sophie M. Fosson, Lia Morra, Luca Sterpone
2025 J jnl
Mammography classification with multi-view deep learning techniques: Investigating graph and transformer-based architectures.
Medical Image Anal.
Francesco Manigrasso, Rosario Milazzo, Alessandro Sebastian Russo, Fabrizio Lamberti, Fredrik Strand, Andrea Pagnani, Lia Morra
2025 — conf
NeSyLAD: A Neuro-Symbolic Approach for Unsupervised Logical Anomaly Detection.
ICIAP (2)
Malihe Dahmardeh, Mohsen Saadatpour, Francesco Manigrasso, Lia Morra, Francesco Setti
2025 J jnl
Self-Supervised Pretraining and Quantization for Fault Tolerant Neural Networks: Friend or Foe?
IEEE Access
Rosario Milazzo, Sophie M. Fosson, Lia Morra, Luca Sterpone
2024 J jnl
Drift Detection for Black-Box Deep Learning Models.
IT Prof.
Luca Piano, Fabio Garcea, Andrea Cavallone, Ignacio Aparicio Vazquez, Lia Morra, Fabrizio Lamberti
2024 B conf
ESRA: a Neuro-Symbolic Relation Transformer for Autonomous Driving.
IJCNN
Alessandro Sebastian Russo, Lia Morra, Fabrizio Lamberti, Paolo Emmanuel Ilario Dimasi
2024 — conf
Enhancing Neuro-Symbolic Integration with Focal Loss: A Study on Logic Tensor Networks.
NeSy (2)
Luca Piano, Francesco Manigrasso, Alessandro Sebastian Russo, Lia Morra
2024 J jnl
For a semiotic AI: Bridging computer vision and visual semiotics for computational observation of large scale facial image archives.
CoRR
Lia Morra, Antonio Santangelo, Pietro Basci, Luca Piano, Fabio Garcea, Fabrizio Lamberti, Massimo Leone
2024 J jnl
For a semiotic AI: Bridging computer vision and visual semiotics for computational observation of large scale facial image archives.
Comput. Vis. Image Underst.
Lia Morra, Antonio Santangelo, Pietro Basci, Luca Piano, Fabio Garcea, Fabrizio Lamberti, Massimo Leone
2024 J jnl
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers.
CoRR
Francesco Dibitonto, Fabio Garcea, André Panisson, Alan Perotti, Lia Morra
2024 — conf
Harnessing Foundation Models for Image Anonymization.
GEM
Luca Piano, Pietro Basci, Fabrizio Lamberti, Lia Morra
2024 J jnl
Latent Diffusion Models for Attribute-Preserving Image Anonymization.
CoRR
Luca Piano, Pietro Basci, Fabrizio Lamberti, Lia Morra
2024 C conf
On the Fault Tolerance of Self-Supervised Training in Convolutional Neural Networks.
DDECS
Rosario Milazzo, Vincenzo De Marco, Corrado De Sio, Sophie M. Fosson, Lia Morra, Luca Sterpone
2024 — conf
Probing LLMs for Logical Reasoning.
NeSy (1)
Francesco Manigrasso, Stefan F. Schouten, Lia Morra, Peter Bloem
2024 J jnl
Toward a Realistic Benchmark for Out-of-Distribution Detection.
CoRR
Pietro Recalcati, Fabio Garcea, Luca Piano, Fabrizio Lamberti, Lia Morra
2023 A conf
Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification.
WACV
Luca Piano, Filippo Gabriele Pratticò, Alessandro Sebastian Russo, Lorenzo Lanari, Lia Morra, Fabrizio Lamberti
2023 J jnl
Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification.
CoRR
Luca Piano, Filippo Gabriele Pratticò, Alessandro Sebastian Russo, Lorenzo Lanari, Lia Morra, Fabrizio Lamberti
2023 J jnl
Data augmentation for medical imaging: A systematic literature review.
Comput. Biol. Medicine
Fabio Garcea, Alessio Serra, Fabrizio Lamberti, Lia Morra
2023 J jnl
Deep learning-based algorithm for postoperative glioblastoma MRI segmentation: a promising new tool for tumor burden assessment.
Brain Informatics
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
2023 C conf
Designing Logic Tensor Networks for Visual Sudoku Puzzle Classification.
NeSy
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
2023 — conf
Fuzzy Logic Visual Network (FLVN): A Neuro-Symbolic Approach for Visual Features Matching.
ICIAP (2)
Francesco Manigrasso, Lia Morra, Fabrizio Lamberti
2023 J jnl
Fuzzy Logic Visual Network (FLVN): A neuro-symbolic approach for visual features matching.
CoRR
Francesco Manigrasso, Lia Morra, Fabrizio Lamberti
2023 — conf
HOLMES: HOLonym-MEronym Based Semantic Inspection for Convolutional Image Classifiers.
xAI (2)
Francesco Dibitonto, Fabio Garcea, André Panisson, Alan Perotti, Lia Morra
2023 — conf
L-TReiD: Logic Tensor Transformer for Re-identification.
ISVC (2)
Alessandro Sebastian Russo, Francesco Manigrasso, Fabrizio Lamberti, Lia Morra
2023 J jnl
MIXO: Mixture Of Experts-Based Visual Odometry for Multicamera Autonomous Systems.
IEEE Trans. Consumer Electron.
Lia Morra, Andrea Biondo, Nicola Poerio, Fabrizio Lamberti
2023 B conf
Toward a Realistic Benchmark for Out-of-Distribution Detection.
DSAA
Pietro Recalcati, Fabio Garcea, Luca Piano, Fabrizio Lamberti, Lia Morra
2023 J jnl
Using Temporal Convolutional Networks to estimate ball possession in soccer games.
Expert Syst. Appl.
Matteo Borghesi, Lorenzo Dusty Costa, Lia Morra, Fabrizio Lamberti
2022 J jnl
Comparing Algorithms for Aggressive Driving Event Detection Based on Vehicle Motion Data.
IEEE Trans. Veh. Technol.
Valentina Gatteschi, Alberto Cannavò, Fabrizio Lamberti, Lia Morra, Paolo Montuschi
2022 J jnl
Detecting Drift in Deep Learning: A Methodology Primer.
IT Prof.
Luca Piano, Fabio Garcea, Valentina Gatteschi, Fabrizio Lamberti, Lia Morra
2022 J jnl
Feature Matching-based Approaches to Improve the Robustness of Android Visual GUI Testing.
ACM Trans. Softw. Eng. Methodol.
Luca Ardito, Andrea Bottino, Riccardo Coppola, Fabrizio Lamberti, Francesco Manigrasso, Lia Morra, Marco Torchiano
2022 B conf
PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning.
ICPR
Simone Martone, Francesco Manigrasso, Fabrizio Lamberti, Lia Morra
2022 J jnl
PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning.
CoRR
Simone Martone, Francesco Manigrasso, Fabrizio Lamberti, Lia Morra
2021 J jnl
Breast Mass Detection With Faster R-CNN: On the Feasibility of Learning From Noisy Annotations.
IEEE Access
Sina Famouri, Lia Morra, Leonardo Mangia, Fabrizio Lamberti
2021 J jnl
Breast Mass Detection with Faster R-CNN: On the Feasibility of Learning from Noisy Annotations.
CoRR
Sina Famouri, Lia Morra, Leonardo Mangia, Fabrizio Lamberti
2021 J jnl
Comparing State-of-the-Art and Emerging Augmented Reality Interfaces for Autonomous Vehicle-to-Pedestrian Communication.
CoRR
Filippo Gabriele Pratticò, Fabrizio Lamberti, Alberto Cannavò, Lia Morra, Paolo Montuschi
2021 J jnl
Comparing State-of-the-Art and Emerging Augmented Reality Interfaces for Autonomous Vehicle-to-Pedestrian Communication.
IEEE Trans. Veh. Technol.
Filippo Gabriele Pratticò, Fabrizio Lamberti, Alberto Cannavò, Lia Morra, Paolo Montuschi
2021 — conf
Faster-LTN: A Neuro-Symbolic, End-to-End Object Detection Architecture.
ICANN (2)
Francesco Manigrasso, Filomeno Davide Miro, Lia Morra, Fabrizio Lamberti
2021 J jnl
Faster-LTN: a neuro-symbolic, end-to-end object detection architecture.
CoRR
Francesco Manigrasso, Filomeno Davide Miro, Lia Morra, Fabrizio Lamberti
2021 J jnl
Guest Editorial: Special Section on New Frontiers in Computing for Next-Generation Healthcare Systems.
IEEE Trans. Emerg. Top. Comput.
Lia Morra, Valentina Gatteschi, Saraju P. Mohanty, Yuan-Hao Chang
2021 B conf
On the Use of Causal Models to Build Better Datasets.
COMPSAC
Fabio Garcea, Lia Morra, Fabrizio Lamberti
2021 J jnl
Stress Detection in Computer Users From Keyboard and Mouse Dynamics.
IEEE Trans. Consumer Electron.
Lucia Pepa, Antonio Sabatelli, Lucio Ciabattoni, Andrea Monteriù, Fabrizio Lamberti, Lia Morra
2020 — conf
A Deep Learning Approach for Efficient Registration of Dual View Mammography.
ANNPR
Sina Famouri, Lia Morra, Fabrizio Lamberti
2020 J jnl
An automatic computer vision pipeline for the in-line monitoring of freeze-drying processes.
Comput. Ind.
Domenico Colucci, Lia Morra, Xiaoyang Zhang, Davide Fissore, Fabrizio Lamberti
2020 J jnl
Artificial Intelligence in Consumer Electronics.
IEEE Consumer Electron. Mag.
Lia Morra, Saraju P. Mohanty, Fabrizio Lamberti
2020 B conf
Bridging the gap between Natural and Medical Images through Deep Colorization.
ICPR
Lia Morra, Luca Piano, Fabrizio Lamberti, Tatiana Tommasi
2020 J jnl
Bridging the gap between Natural and Medical Images through Deep Colorization.
CoRR
Lia Morra, Luca Piano, Fabrizio Lamberti, Tatiana Tommasi
2020 J jnl
Building Trust in Autonomous Vehicles: Role of Virtual Reality Driving Simulators in HMI Design.
CoRR
Lia Morra, Fabrizio Lamberti, Filippo Gabriele Pratticò, Salvatore La Rosa, Paolo Montuschi
2020 — conf
Object Tracking Through Residual and Dense LSTMs.
ICIAR (2)
Fabio Garcea, Alessandro Cucco, Lia Morra, Fabrizio Lamberti
2020 J jnl
Object Tracking through Residual and Dense LSTMs.
CoRR
Fabio Garcea, Alessandro Cucco, Lia Morra, Fabrizio Lamberti
2020 — conf
Slicing and Dicing Soccer: Automatic Detection of Complex Events from Spatio-Temporal Data.
ICIAR (1)
Lia Morra, Francesco Manigrasso, Giuseppe Canto, Claudio Gianfrate, Enrico Guarino, Fabrizio Lamberti
2020 J jnl
Slicing and dicing soccer: automatic detection of complex events from spatio-temporal data.
CoRR
Lia Morra, Francesco Manigrasso, Giuseppe Canto, Claudio Gianfrate, Enrico Guarino, Fabrizio Lamberti
2020 J jnl
SoccER: Computer graphics meets sports analytics for soccer event recognition.
SoftwareX
Lia Morra, Francesco Manigrasso, Fabrizio Lamberti
2020 — conf
iNNvestigate-GUI - Explaining Neural Networks Through an Interactive Visualization Tool.
ANNPR
Fabio Garcea, Sina Famouri, Davide Valentino, Lia Morra, Fabrizio Lamberti
2019 — conf
Automatic detection of canonical image orientation by convolutional neural networks.
ISCT
Lia Morra, Sina Famouri, Huseyin Cagri Karakus, Fabrizio Lamberti
2019 J jnl
Benchmarking unsupervised near-duplicate image detection.
CoRR
Lia Morra, Fabrizio Lamberti
2019 J jnl
Benchmarking unsupervised near-duplicate image detection.
Expert Syst. Appl.
Lia Morra, Fabrizio Lamberti
2019 J jnl
Building Trust in Autonomous Vehicles: Role of Virtual Reality Driving Simulators in HMI Design.
IEEE Trans. Veh. Technol.
Lia Morra, Fabrizio Lamberti, Filippo Gabriele Pratticò, Salvatore La Rosa, Paolo Montuschi
2019 J jnl
Immersive Virtual Reality-Based Interfaces for Character Animation.
IEEE Access
Alberto Cannavò, Claudio Demartini, Lia Morra, Fabrizio Lamberti
2018 J jnl
Mammographic density: Comparison of visual assessment with fully automatic calculation on a multivendor dataset.
CoRR
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
2018 J jnl
Optimization of computer aided detection systems: An evolutionary approach.
Expert Syst. Appl.
Lia Morra, Nunzia Coccia, Tania Cerquitelli
2016 — conf
Data mining for better healthcare: A path towards automated data analysis?
ICDE Workshops
Tania Cerquitelli, Elena Baralis, Lia Morra, Silvia Chiusano
2009 — conf
A fully automatic lesion detection method for DCE-MRI fat-suppressed breast images.
Computer-Aided Diagnosis
Anna Vignati, Valentina Giannini, Alberto Bert, Massimo De Luca, Lia Morra, Diego Persano, Laura Martincich, Daniele Regge
2009 — conf
Adaptive remapping procedure for electronic cleansing of fecal tagging CT colonography images.
Computer-Aided Diagnosis
Lia Morra, Silvia Delsanto, Delia Campanella, Daniele Regge, Alberto Bert
2009 — conf
Characteristics of false positive findings in CT colonography CAD: a comparison of two fecal tagging regimens.
Computer-Aided Diagnosis
Lia Morra, Silvia Delsanto, Silvano Agliozzo, Riccardo Baggio, Erika Belluccio, Loredana Correale, Dario Genova, Alberto Bert, Daniele Regge
2008 — conf
Computer aided detection of polyps in virtual colonoscopy with sameday faecal tagging.
Computer-Aided Diagnosis
Silvia Delsanto, Lia Morra, Silvano Agliozzo, Riccardo Baggio, Delia Campanella, Vincenzo Tartaglia, Francesca Cerri, Franco Iafrate, Emanuele Neri, Andrea Laghi, Daniele Regge
2004 B conf
Enhanced unsupervised segmentation of multispectral Magnetic Resonance images.
ESANN
Lia Morra, Silvia Delsanto, Leonardo Reyneri