Archivio Istituzionale della RicercaMORRA, LIA
MORRA, LIA
Dipartimento di Automatica e Informatica
012819
Analyzing the performance of Deep Learning-based techniques for Human Pose Estimation
2024 Boscolo, Federico; Lamberti, Fabrizio; Morra, Lia
EASTERN project: Earth observation models for weather event mitigation
2024 Bianco, Selene; Corcione, Valeria; Maragliano, Matteo; Chiara Rodi, Giovanna; Marangoni, Stefano; Morra, Lia; Tommasi, Tatiana; Alliegro, Antonio; Caretto, Michelangelo; Milazzo, Rosario; Aponte, Osmari; Gatti, Andrea; Realini, Eugenio
Enhancing Neuro-Symbolic Integration with Focal Loss: A Study on Logic Tensor Networks
2024 Piano, Luca; Manigrasso, Francesco; Russo, Alessandro; Morra, Lia
ESRA: A Neuro-Symbolic Relation Transformer for Autonomous Driving
2024 Russo, Alessandro; Morra, Lia; Lamberti, Fabrizio; Dimasi, PAOLO EMMANUEL ILARIO
Harnessing Foundation Models for Image Anonymization
2024 Piano, Luca; Basci, Pietro; Lamberti, Fabrizio; Morra, Lia
On the Fault Tolerance of Self-Supervised Training in Convolutional Neural Networks
2024 Milazzo, Rosario; De Marco, Vincenzo; De Sio, Corrado; Fosson, Sophie; Morra, Lia; Sterpone, Luca
Probing LLMs for logical reasoning
2024 Manigrasso, Francesco; Schouten, Stefan; Morra, Lia; Peter Bloem, And
Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification
2023 Piano, Luca; Prattico', FILIPPO GABRIELE; Russo, ALESSANDRO SEBASTIAN; Lanari, Lorenzo; Morra, Lia; Lamberti, Fabrizio
Designing Logic Tensor Networks for Visual Sudoku puzzle classification
2023 Morra, Lia; Azzari, Alberto; Bergamasco, Letizia; Braga, Marco; Capogrosso, Luigi; Delrio, Federico; DI GIACOMO, Giuseppe; Eiraudo, Simone; Ghione, Giorgia; Giudice, Rocco; Koudounas, Alkis; Piano, Luca; REGE CAMBRIN, Daniele; Risso, Matteo; Rondina, Marco; Russo, ALESSANDRO SEBASTIAN; Russo, Marco; Taioli, Francesco; Vaiani, Lorenzo; Vercellino, Chiara
Fuzzy Logic Visual Network (FLVN): A neuro-symbolic approach for visual features matching
2023 Manigrasso, Francesco; Morra, Lia; Lamberti, Fabrizio
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers
2023 Dibitonto, Francesco; Garcea, Fabio; Panisson, André; Perotti, Alan; Morra, Lia
L-TReiD: Logic Tensor Transformer for Re-Identification
2023 Russo, Alessandro; Manigrasso, Francesco; Lamberti, Fabrizio; Morra, Lia
Toward a Realistic Benchmark for Out-of-Distribution Detection
2023 Recalcati, Pietro; Garcea, Fabio; Piano, Luca; Lamberti, Fabrizio; Morra, Lia
PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning
2022 Martone, Simone; Manigrasso, Francesco; Lamberti, Fabrizio; Morra, Lia
Bridging the gap between Natural and Medical Images through Deep Colorization
2021 Morra, Lia; Piano, Luca; Lamberti, Fabrizio; Tommasi, Tatiana
Faster-LTN: a neuro-symbolic, end-to-end object detection architecture
2021 Manigrasso, Francesco; Davide Miro, Filomeno; Morra, Lia; Lamberti, Fabrizio
On the Use of Causal Models to Build Better Datasets
2021 Garcea, Fabio; Morra, Lia; Lamberti, Fabrizio
A deep learning approach for efficient registration of dual view mammography
2020 Famouri, Sina; Morra, Lia; Lamberti, Fabrizio
iNNvestigate-GUI - Explaining neural networks through an interactive visualization tool
2020 Garcea, Fabio; Famouri, Sina; Valentino, Davide; Morra, Lia; Lamberti, Fabrizio
Object tracking through residual and dense LSTMs
2020 Garcea, Fabio; Cucco, Alessandro; Morra, Lia; Lamberti, Fabrizio
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Analyzing the performance of Deep Learning-based techniques for Human Pose Estimation / Boscolo, Federico; Lamberti, Fabrizio; Morra, Lia. - ELETTRONICO. - (2024), pp. 193-198. (Intervento presentato al convegno IEEE International Workshop on Sport Technology and Research (STAR) tenutosi a Lecco (ITA) nel 08-10 July 2024) [10.1109/STAR62027.2024.10635956]. | 1-gen-2024 | Boscolo, FedericoLamberti, FabrizioMorra, Lia | Analyzing_the_Performance_of_Deep_Learning-based_Techniques_for_Human_Pose_Estimation.pdf |
| EASTERN project: Earth observation models for weather event mitigation / Bianco, Selene; Corcione, Valeria; Maragliano, Matteo; Chiara Rodi, Giovanna; Marangoni, Stefano; Morra, Lia; Tommasi, Tatiana; Alliegro, Antonio; Caretto, Michelangelo; Milazzo, Rosario; Aponte, Osmari; Gatti, Andrea; Realini, Eugenio. - (2024), pp. 318-322. (Intervento presentato al convegno SPAICE Conference on AI in and for Space tenutosi a London (UK) nel 17 – 19 September 2024) [10.5281/zenodo.13885605]. | 1-gen-2024 | Lia MorraTatiana TommasiAntonio AlliegroMichelangelo CarettoRosario Milazzo + | EASTERN project Earth observation models for weather event mitigation.pdf |
| Enhancing Neuro-Symbolic Integration with Focal Loss: A Study on Logic Tensor Networks / Piano, Luca; Manigrasso, Francesco; Russo, Alessandro; Morra, Lia. - STAMPA. - 14980:(2024), pp. 14-23. (Intervento presentato al convegno 18th International Conference on Neuro-symbolic Learning and Reasoning tenutosi a Barcelona (ESP) nel September 9–12, 2024) [10.1007/978-3-031-71170-1_2]. | 1-gen-2024 | Luca PianoFrancesco ManigrassoAlessandro RussoLia Morra | FocalLTN___NeSy24.pdf; 978-3-031-71170-1_2.pdf |
| ESRA: A Neuro-Symbolic Relation Transformer for Autonomous Driving / Russo, Alessandro; Morra, Lia; Lamberti, Fabrizio; Dimasi, PAOLO EMMANUEL ILARIO. - STAMPA. - (2024). (Intervento presentato al convegno International Joint Conference on Neural Networks (IJCNN) 2024 tenutosi a Yokohama (JPN) nel 30 June 2024 - 05 July 2024) [10.1109/IJCNN60899.2024.10651426]. | 1-gen-2024 | Alessandro RussoLia MorraFabrizio LambertiPaolo Emmanuel Ilario Dimasi | IEEE_WCCI_2024.pdf; ESRA_a_Neuro-Symbolic_Relation_Transformer_for_Autonomous_Driving.pdf |
| Harnessing Foundation Models for Image Anonymization / Piano, Luca; Basci, Pietro; Lamberti, Fabrizio; Morra, Lia. - ELETTRONICO. - (2024). (Intervento presentato al convegno 2024 IEEE Gaming, Entertainment, and Media Conference (GEM) tenutosi a Turin (ITA) nel 05-07 June 2024) [10.1109/GEM61861.2024.10585484]. | 1-gen-2024 | Luca PianoPietro BasciFabrizio LambertiLia Morra | 1571012047 final.pdf; 2024_Harnessing_Foundation_Models_for_Image_Anonymization.pdf |
| On the Fault Tolerance of Self-Supervised Training in Convolutional Neural Networks / Milazzo, Rosario; De Marco, Vincenzo; De Sio, Corrado; Fosson, Sophie; Morra, Lia; Sterpone, Luca. - ELETTRONICO. - (2024), pp. 110-115. (Intervento presentato al convegno 27th International Symposium on Design and Diagnostics of Electronic Circuits and Systems tenutosi a Kielce (Polonia) nel 3-5 April 2024) [10.1109/DDECS60919.2024.10508923]. | 1-gen-2024 | Milazzo, RosarioDe Marco, VincenzoDe Sio, CorradoFosson, SophieMorra, LiaSterpone, Luca | 2024050425.pdf; On_the_Fault_Tolerance_of_Self-Supervised_Training_in_Convolutional_Neural_Networks.pdf |
| Probing LLMs for logical reasoning / Manigrasso, Francesco; Schouten, Stefan; Morra, Lia; Peter Bloem, And. - ELETTRONICO. - 14979:(2024), pp. 257-278. (Intervento presentato al convegno 18th International Conference on Neuro-symbolic Learning and Reasoning tenutosi a Barcelona (ESP) nel September 9–12, 2024) [10.1007/978-3-031-71167-1_14]. | 1-gen-2024 | Francesco ManigrassoLia Morra + | LTNsAsProbes (3).pdf; 978-3-031-71167-1_14.pdf |
| Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification / Piano, Luca; Prattico', FILIPPO GABRIELE; Russo, ALESSANDRO SEBASTIAN; Lanari, Lorenzo; Morra, Lia; Lamberti, Fabrizio. - STAMPA. - (2023), pp. 4870-4880. (Intervento presentato al convegno IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2023 tenutosi a Waikoloa (USA) nel 03/01/2023 - 07/01/2023) [10.1109/WACV56688.2023.00486]. | 1-gen-2023 | Luca PianoFilippo Gabriele PratticòAlessandro RussoLia MorraFabrizio Lamberti + | WACV_2023_DamagedBikes.pdf; Piano_Bent__Broken_Bicycles_Leveraging_Synthetic_Data_for_Damaged_Object_WACV_2023_paper.pdf; Bent_amp_Broken_Bicycles_Leveraging_synthetic_data_for_damaged_object_re-identification.pdf |
| Designing Logic Tensor Networks for Visual Sudoku puzzle classification / Morra, Lia; Azzari, Alberto; Bergamasco, Letizia; Braga, Marco; Capogrosso, Luigi; Delrio, Federico; DI GIACOMO, Giuseppe; Eiraudo, Simone; Ghione, Giorgia; Giudice, Rocco; Koudounas, Alkis; Piano, Luca; REGE CAMBRIN, Daniele; Risso, Matteo; Rondina, Marco; Russo, ALESSANDRO SEBASTIAN; Russo, Marco; Taioli, Francesco; Vaiani, Lorenzo; Vercellino, Chiara. - ELETTRONICO. - 3432:(2023), pp. 223-232. (Intervento presentato al convegno 17th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2023) tenutosi a Certosa di Pontignano, Siena (Italia) nel July 3-5, 2023). | 1-gen-2023 | Lia MorraAlberto AzzariLetizia BergamascoMarco BragaLuigi CapogrossoFederico DelrioGiuseppe Di GiacomoSimone EiraudoGiorgia GhioneRocco GiudiceAlkis KoudounasLuca PianoDaniele Rege CambrinMatteo RissoMarco RondinaAlessandro RussoMarco RussoFrancesco TaioliLorenzo VaianiChiara Vercellino | NeSy_workshop_Visual_Sudoku.pdf; paper19.pdf |
| Fuzzy Logic Visual Network (FLVN): A neuro-symbolic approach for visual features matching / Manigrasso, Francesco; Morra, Lia; Lamberti, Fabrizio. - ELETTRONICO. - 14234:(2023), pp. 456-467. (Intervento presentato al convegno 22nd International Conference on IMAGE ANALYSIS AND PROCESSING (ICIAP 2023) tenutosi a Udine nel 11-15 settembre 2023) [10.1007/978-3-031-43153-1_38]. | 1-gen-2023 | Francesco ManigrassoLia MorraFabrizio Lamberti | Fuzzy_Logic_Visual_Network__FLVN___ICIAP_2023__15_Luglio_.pdf; 978-3-031-43153-1_38.pdf |
| HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers / Dibitonto, Francesco; Garcea, Fabio; Panisson, André; Perotti, Alan; Morra, Lia. - ELETTRONICO. - 1902:(2023), pp. 475-498. (Intervento presentato al convegno First World Conference on eXplainable Artificial Intelligence (xAI 2023) tenutosi a Lisbon (Portugal) nel July 26-28, 2023) [10.1007/978-3-031-44067-0_25]. | 1-gen-2023 | Francesco DibitontoFabio GarceaLia Morra + | HOLMES_XAI_WC_clean_source.pdf; 978-3-031-44067-0_25.pdf |
| L-TReiD: Logic Tensor Transformer for Re-Identification / Russo, Alessandro; Manigrasso, Francesco; Lamberti, Fabrizio; Morra, Lia. - STAMPA. - (2023), pp. 345-357. (Intervento presentato al convegno International Symposium on Visual Computing (ISVC) 2023 tenutosi a Lake Tahoe, Nevada, USA nel 16/10/2023 - 18/10/2023) [10.1007/978-3-031-47966-3_27]. | 1-gen-2023 | Alessandro RussoFrancesco ManigrassoFabrizio LambertiLia Morra | ISVC_2023.pdf; 978-3-031-47966-3_27.pdf |
| Toward a Realistic Benchmark for Out-of-Distribution Detection / Recalcati, Pietro; Garcea, Fabio; Piano, Luca; Lamberti, Fabrizio; Morra, Lia. - STAMPA. - (2023). (Intervento presentato al convegno International Conference on Data Science and Advanced Analytics (DSAA 2023) tenutosi a Thessaloniki (GR) nel 09-13 October 2023) [10.1109/DSAA60987.2023.10302486]. | 1-gen-2023 | Pietro RecalcatiFabio GarceaLuca PianoFabrizio LambertiLia Morra | Toward_a_Realistic_Benchmark_for_Out-of-Distribution_Detection.pdf; FACETS_DSAA_Postprint.pdf |
| PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning / Martone, Simone; Manigrasso, Francesco; Lamberti, Fabrizio; Morra, Lia. - STAMPA. - (2022), pp. 4427-4433. (Intervento presentato al convegno 26th International Conference on Pattern Recognition (ICPR 2022) tenutosi a Montreal nel 21-25 Agosto 2022) [10.1109/ICPR56361.2022.9956239]. | 1-gen-2022 | Simone MartoneFrancesco ManigrassoFabrizio LambertiLia Morra | 2022_Martone_ICPR_Final_without_Appendix.pdf; Martone_PROTOtypical_Logic_Tensor_Networks_PROTO-LTN_for_Zero_Shot_Learning.pdf |
| Bridging the gap between Natural and Medical Images through Deep Colorization / Morra, Lia; Piano, Luca; Lamberti, Fabrizio; Tommasi, Tatiana. - STAMPA. - (2021), pp. 835-842. (Intervento presentato al convegno 25th International Conference on Pattern Recognition, ICPR 2020 tenutosi a Milano (Italy) nel 10-15 gennaio 2021) [10.1109/ICPR48806.2021.9412444]. | 1-gen-2021 | Lia MorraLuca PianoFabrizio LambertiTatiana Tommasi | 09412444.pdf; 2005.10589.pdf |
| Faster-LTN: a neuro-symbolic, end-to-end object detection architecture / Manigrasso, Francesco; Davide Miro, Filomeno; Morra, Lia; Lamberti, Fabrizio. - STAMPA. - 12892:(2021), pp. 40-52. (Intervento presentato al convegno 30th International Conference on Artificial Neural Networks (ICANN 2021) tenutosi a Fully online event nel 14-17 September 2021) [10.1007/978-3-030-86340-1_4]. | 1-gen-2021 | Francesco ManigrassoLia MorraFabrizio Lamberti + | End_to_end_training_with_Logic_Tensor_Network__Clean_final_version_.pdf; Manigrasso2021_Chapter_Faster-LTNANeuro-SymbolicEnd-t.pdf |
| On the Use of Causal Models to Build Better Datasets / Garcea, Fabio; Morra, Lia; Lamberti, Fabrizio. - STAMPA. - (2021), pp. 1514-1519. (Intervento presentato al convegno COMPSAC 2021 - AIML: The 4th IEEE International Workshop on Advances in Artificial Intelligence & Machine Learning: Applications, Challenges & Concerns tenutosi a All-Virtual nel July 12-16, 2021) [10.1109/COMPSAC51774.2021.00225]. | 1-gen-2021 | Fabio GarceaLia MorraFabrizio Lamberti | On the Use of Causal Models to Build Better Datasets.pdf; On_the_Use_of_Causal_Models_to_Build_Better_Datasets.pdf |
| A deep learning approach for efficient registration of dual view mammography / Famouri, Sina; Morra, Lia; Lamberti, Fabrizio. - STAMPA. - 12294:(2020), pp. 162-172. (Intervento presentato al convegno 9th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR 2020) tenutosi a Winterthur, Switzerland nel September 2-4, 2020) [10.1007/978-3-030-58309-5_13]. | 1-gen-2020 | Sina FamouriLia MorraFabrizio Lamberti | Famouri2020_Chapter_ADeepLearningApproachForEffici.pdf; A_deep_learning_approach_for_efficient_registration_of_dual_view_mammography (4).pdf |
| iNNvestigate-GUI - Explaining neural networks through an interactive visualization tool / Garcea, Fabio; Famouri, Sina; Valentino, Davide; Morra, Lia; Lamberti, Fabrizio. - STAMPA. - 12294:(2020), pp. 291-303. (Intervento presentato al convegno 9th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR 2020) tenutosi a Winterthur, Switzerland nel September 2-4, 2020) [10.1007/978-3-030-58309-5_24]. | 1-gen-2020 | Fabio GarceaSina FamouriLia MorraFabrizio Lamberti + | Garcea2020_Chapter_INNvestigate-GUI-ExplainingNeu.pdf; iNNvestigate_GUI___Explaining_Neural_Networks_Through_an_Interactive_Visualization_Tool.pdf |
| Object tracking through residual and dense LSTMs / Garcea, Fabio; Cucco, Alessandro; Morra, Lia; Lamberti, Fabrizio. - STAMPA. - (2020), pp. 100-111. (Intervento presentato al convegno 17th International Conference on Image Analysis and Recognition (ICIAR 2020) tenutosi a Póvoa de Varzim, Portugal nel 24-26 June, 2020) [10.1007/978-3-030-50516-5_9]. | 1-gen-2020 | Fabio GarceaAlessandro CuccoLia MorraFabrizio Lamberti | Garcea2020_Chapter_ObjectTrackingThroughResidualA.pdf; Object_Tracking_through_Residual_and_Dense_LSTMs.pdf |