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2020 – today
- 2025
- [j21]Francesco Manigrasso, Rosario Milazzo, Alessandro Sebastian Russo, Fabrizio Lamberti, Fredrik Strand, Andrea Pagnani, Lia Morra:
Mammography classification with multi-view deep learning techniques: Investigating graph and transformer-based architectures. Medical Image Anal. 99: 103320 (2025) - 2024
- [j20]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. Comput. Vis. Image Underst. 249: 104187 (2024) - [j19]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): 24-31 (2024) - [c26]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: 110-115 - [c25]Luca Piano, Pietro Basci, Fabrizio Lamberti, Lia Morra:
Harnessing Foundation Models for Image Anonymization. GEM 2024: 1-5 - [c24]Alessandro Sebastian Russo, Lia Morra, Fabrizio Lamberti, Paolo Emmanuel Ilario Dimasi:
ESRA: a Neuro-Symbolic Relation Transformer for Autonomous Driving. IJCNN 2024: 1-10 - [c23]Luca Piano, Francesco Manigrasso, Alessandro Sebastian Russo, Lia Morra:
Enhancing Neuro-Symbolic Integration with Focal Loss: A Study on Logic Tensor Networks. NeSy (2) 2024: 14-23 - [c22]Francesco Manigrasso, Stefan F. Schouten, Lia Morra, Peter Bloem:
Probing LLMs for Logical Reasoning. NeSy (1) 2024: 257-278 - [i16]Francesco Dibitonto, Fabio Garcea, André Panisson, Alan Perotti, Lia Morra:
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers. CoRR abs/2403.08536 (2024) - [i15]Luca Piano, Pietro Basci, Fabrizio Lamberti, Lia Morra:
Latent Diffusion Models for Attribute-Preserving Image Anonymization. CoRR abs/2403.14790 (2024) - [i14]Pietro Recalcati, Fabio Garcea, Luca Piano, Fabrizio Lamberti, Lia Morra:
Toward a Realistic Benchmark for Out-of-Distribution Detection. CoRR abs/2404.10474 (2024) - [i13]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 abs/2407.03268 (2024) - 2023
- [j18]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:
Deep learning-based algorithm for postoperative glioblastoma MRI segmentation: a promising new tool for tumor burden assessment. Brain Informatics 10(1): 26 (2023) - [j17]Fabio Garcea, Alessio Serra, Fabrizio Lamberti, Lia Morra:
Data augmentation for medical imaging: A systematic literature review. Comput. Biol. Medicine 152: 106391 (2023) - [j16]Matteo Borghesi, Lorenzo Dusty Costa, Lia Morra, Fabrizio Lamberti:
Using Temporal Convolutional Networks to estimate ball possession in soccer games. Expert Syst. Appl. 223: 119780 (2023) - [j15]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): 261-270 (2023) - [c21]Pietro Recalcati, Fabio Garcea, Luca Piano, Fabrizio Lamberti, Lia Morra:
Toward a Realistic Benchmark for Out-of-Distribution Detection. DSAA 2023: 1-10 - [c20]Francesco Manigrasso, Lia Morra, Fabrizio Lamberti:
Fuzzy Logic Visual Network (FLVN): A Neuro-Symbolic Approach for Visual Features Matching. ICIAP (2) 2023: 456-467 - [c19]Alessandro Sebastian Russo, Francesco Manigrasso, Fabrizio Lamberti, Lia Morra:
L-TReiD: Logic Tensor Transformer for Re-identification. ISVC (2) 2023: 345-357 - [c18]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: 223-232 - [c17]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: 4870-4880 - [c16]Francesco Dibitonto, Fabio Garcea, André Panisson, Alan Perotti, Lia Morra:
HOLMES: HOLonym-MEronym Based Semantic Inspection for Convolutional Image Classifiers. xAI (2) 2023: 475-498 - [i12]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 abs/2304.07883 (2023) - [i11]Francesco Manigrasso, Lia Morra, Fabrizio Lamberti:
Fuzzy Logic Visual Network (FLVN): A neuro-symbolic approach for visual features matching. CoRR abs/2307.16019 (2023) - 2022
- [j14]Luca Piano, Fabio Garcea, Valentina Gatteschi, Fabrizio Lamberti, Lia Morra:
Detecting Drift in Deep Learning: A Methodology Primer. IT Prof. 24(5): 53-60 (2022) - [j13]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): 21:1-21:32 (2022) - [j12]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): 53-68 (2022) - [c15]Simone Martone, Francesco Manigrasso, Fabrizio Lamberti, Lia Morra:
PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning. ICPR 2022: 4427-4433 - [i10]Simone Martone, Francesco Manigrasso, Fabrizio Lamberti, Lia Morra:
PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning. CoRR abs/2207.00433 (2022) - 2021
- [j11]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: 66163-66175 (2021) - [j10]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): 12-19 (2021) - [j9]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): 1106-1108 (2021) - [j8]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): 1157-1168 (2021) - [c14]Fabio Garcea, Lia Morra, Fabrizio Lamberti:
On the Use of Causal Models to Build Better Datasets. COMPSAC 2021: 1514-1519 - [c13]Francesco Manigrasso, Filomeno Davide Miro, Lia Morra, Fabrizio Lamberti:
Faster-LTN: A Neuro-Symbolic, End-to-End Object Detection Architecture. ICANN (2) 2021: 40-52 - [d1]Francesco Manigrasso, Lia Morra, Luca Ardito, Riccardo Coppola, Fabrizio Lamberti, Marco Torchiano, Andrea Bottino:
DatAndroid. Zenodo, 2021 - [i9]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 abs/2102.02783 (2021) - [i8]Sina Famouri, Lia Morra, Leonardo Mangia, Fabrizio Lamberti:
Breast Mass Detection with Faster R-CNN: On the Feasibility of Learning from Noisy Annotations. CoRR abs/2104.12218 (2021) - [i7]Francesco Manigrasso, Filomeno Davide Miro, Lia Morra, Fabrizio Lamberti:
Faster-LTN: a neuro-symbolic, end-to-end object detection architecture. CoRR abs/2107.01877 (2021) - 2020
- [j7]Lia Morra, Saraju P. Mohanty, Fabrizio Lamberti:
Artificial Intelligence in Consumer Electronics. IEEE Consumer Electron. Mag. 9(3): 46-47 (2020) - [j6]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: 103184 (2020) - [j5]Lia Morra, Francesco Manigrasso, Fabrizio Lamberti:
SoccER: Computer graphics meets sports analytics for soccer event recognition. SoftwareX 12: 100612 (2020) - [c12]Sina Famouri, Lia Morra, Fabrizio Lamberti:
A Deep Learning Approach for Efficient Registration of Dual View Mammography. ANNPR 2020: 162-172 - [c11]Fabio Garcea, Sina Famouri, Davide Valentino, Lia Morra, Fabrizio Lamberti:
iNNvestigate-GUI - Explaining Neural Networks Through an Interactive Visualization Tool. ANNPR 2020: 291-303 - [c10]Fabio Garcea, Alessandro Cucco, Lia Morra, Fabrizio Lamberti:
Object Tracking Through Residual and Dense LSTMs. ICIAR (2) 2020: 100-111 - [c9]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: 107-121 - [c8]Lia Morra, Luca Piano, Fabrizio Lamberti, Tatiana Tommasi:
Bridging the gap between Natural and Medical Images through Deep Colorization. ICPR 2020: 835-842 - [i6]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 abs/2004.04147 (2020) - [i5]Lia Morra, Luca Piano, Fabrizio Lamberti, Tatiana Tommasi:
Bridging the gap between Natural and Medical Images through Deep Colorization. CoRR abs/2005.10589 (2020) - [i4]Fabio Garcea, Alessandro Cucco, Lia Morra, Fabrizio Lamberti:
Object Tracking through Residual and Dense LSTMs. CoRR abs/2006.12061 (2020) - [i3]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 abs/2007.13371 (2020)
2010 – 2019
- 2019
- [j4]Alberto Cannavò, Claudio Demartini, Lia Morra, Fabrizio Lamberti:
Immersive Virtual Reality-Based Interfaces for Character Animation. IEEE Access 7: 125463-125480 (2019) - [j3]Lia Morra, Fabrizio Lamberti:
Benchmarking unsupervised near-duplicate image detection. Expert Syst. Appl. 135: 313-326 (2019) - [j2]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): 9438-9450 (2019) - [c7]Lia Morra, Sina Famouri, Huseyin Cagri Karakus, Fabrizio Lamberti:
Automatic detection of canonical image orientation by convolutional neural networks. ISCT 2019: 118-123 - [i2]Lia Morra, Fabrizio Lamberti:
Benchmarking unsupervised near-duplicate image detection. CoRR abs/1907.02821 (2019) - 2018
- [j1]Lia Morra, Nunzia Coccia, Tania Cerquitelli:
Optimization of computer aided detection systems: An evolutionary approach. Expert Syst. Appl. 100: 145-156 (2018) - [i1]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 abs/1811.05324 (2018) - 2016
- [c6]Tania Cerquitelli, Elena Baralis, Lia Morra, Silvia Chiusano:
Data mining for better healthcare: A path towards automated data analysis? ICDE Workshops 2016: 60-63
2000 – 2009
- 2009
- [c5]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. Computer-Aided Diagnosis 2009: 72602L - [c4]Lia Morra, Silvia Delsanto, Delia Campanella, Daniele Regge, Alberto Bert:
Adaptive remapping procedure for electronic cleansing of fecal tagging CT colonography images. Computer-Aided Diagnosis 2009: 72602O - [c3]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. Computer-Aided Diagnosis 2009: 726026 - 2008
- [c2]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. Computer-Aided Diagnosis 2008: 69150T - 2004
- [c1]Lia Morra, Silvia Delsanto, Leonardo Reyneri:
Enhanced unsupervised segmentation of multispectral Magnetic Resonance images. ESANN 2004: 257-262
Coauthor Index
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last updated on 2024-11-28 21:30 CET by the dblp team
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