Lia Morra
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
12
Active years
2004–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICIAP | A Deep Learning Model to Predict GNSS from InSAR Data. | Michelangelo Caretto, Antonio Alliegro, Rosario Milazzo, Osmari Aponte, Andrea Gatti, Eugenio Realini, Lia Morra, Tatiana Tommasi |
| 2025 | ICIAP | NeSyLAD: A Neuro-Symbolic Approach for Unsupervised Logical Anomaly Detection. | Malihe Dahmardeh, Mohsen Saadatpour, Francesco Manigrasso, Lia Morra, Francesco Setti |
| 2025 | ICIAP | Fault Tolerant Multi-object Tracking via Temporal Consistency Filtering. | Rosario Milazzo, Sophie M. Fosson, Lia Morra, Luca Sterpone |
| 2024 | DDECS | On the Fault Tolerance of Self-Supervised Training in Convolutional Neural Networks. | Rosario Milazzo, Vincenzo De Marco, Corrado De Sio, Sophie M. Fosson, Lia Morra, Luca Sterpone |
| 2024 | IJCNN | ESRA: a Neuro-Symbolic Relation Transformer for Autonomous Driving. | Alessandro Sebastian Russo, Lia Morra, Fabrizio Lamberti, Paolo Emmanuel Ilario Dimasi |
| 2024 | NeSy | Probing LLMs for Logical Reasoning. | Francesco Manigrasso, Stefan F. Schouten, Lia Morra, Peter Bloem |
| 2024 | NeSy | Enhancing Neuro-Symbolic Integration with Focal Loss: A Study on Logic Tensor Networks. | Luca Piano, Francesco Manigrasso, Alessandro Sebastian Russo, Lia Morra |
| 2023 | DSAA | Toward a Realistic Benchmark for Out-of-Distribution Detection. | Pietro Recalcati, Fabio Garcea, Luca Piano, Fabrizio Lamberti, Lia Morra |
| 2023 | ICIAP | Fuzzy Logic Visual Network (FLVN): A Neuro-Symbolic Approach for Visual Features Matching. | Francesco Manigrasso, Lia Morra, Fabrizio Lamberti |
| 2023 | ISVC | L-TReiD: Logic Tensor Transformer for Re-identification. | Alessandro Sebastian Russo, Francesco Manigrasso, Fabrizio Lamberti, Lia Morra |
| 2023 | NeSy | 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 |
| 2023 | WACV | Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification. | Luca Piano, Filippo Gabriele Prattic, Alessandro Sebastian Russo, Lorenzo Lanari, Lia Morra, Fabrizio Lamberti |
| 2022 | ICPR | PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning. | Simone Martone, Francesco Manigrasso, Fabrizio Lamberti, Lia Morra |
| 2021 | COMPSAC | On the Use of Causal Models to Build Better Datasets. | Fabio Garcea, Lia Morra, Fabrizio Lamberti |
| 2021 | ICANN | Faster-LTN: A Neuro-Symbolic, End-to-End Object Detection Architecture. | Francesco Manigrasso, Filomeno Davide Miro, Lia Morra, Fabrizio Lamberti |
| 2020 | ICPR | Bridging the gap between Natural and Medical Images through Deep Colorization. | Lia Morra, Luca Piano, Fabrizio Lamberti, Tatiana Tommasi |
| 2016 | ICDE | Data mining for better healthcare: A path towards automated data analysis? | Tania Cerquitelli, Elena Baralis, Lia Morra, Silvia Chiusano |
| 2004 | ESANN | Enhanced unsupervised segmentation of multispectral Magnetic Resonance images. | Lia Morra, Silvia Delsanto, Leonardo Reyneri |