Archivio Istituzionale della RicercaGARCEA, FABIO
GARCEA, FABIO
Dipartimento di Automatica e Informatica
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Risultati 1 - 8 di 8 (tempo di esecuzione: 0.008 secondi).
Data Augmentation for medical imaging: a Systematic Literature Review
2023 Garcea, Fabio; Serra, Alessio; Lamberti, Fabrizio; Morra, Lia
Detecting drift in deep learning: A methodology primer
2022 Piano, Luca; Garcea, Fabio; Gatteschi, Valentina; Lamberti, Fabrizio; Morra, Lia
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers
In corso di stampa Dibitonto, Francesco; Garcea, Fabio; Panisson, André; Perotti, Alan; Morra, Lia
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
On the Use of Causal Models to Build Better Datasets
2021 Garcea, Fabio; Morra, Lia; Lamberti, Fabrizio
Self-supervised and semi-supervised learning for road condition estimation from distributed road-side cameras
2022 Garcea, Fabio; Blanco, Giacomo; Croci, Alberto; Lamberti, Fabrizio; Mamone, Riccardo; Ricupero, Ruben; Morra, Lia; Allamano, Paola
Toward a Realistic Benchmark for Out-of-Distribution Detection
In corso di stampa Recalcati, Pietro; Garcea, Fabio; Piano, Luca; Lamberti, Fabrizio; Morra, Lia
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Data Augmentation for medical imaging: a Systematic Literature Review / Garcea, Fabio; Serra, Alessio; Lamberti, Fabrizio; Morra, Lia. - In: COMPUTERS IN BIOLOGY AND MEDICINE. - ISSN 0010-4825. - STAMPA. - 152:(2023). [10.1016/j.compbiomed.2022.106391] | 1-gen-2023 | Fabio GarceaFabrizio LambertiLia Morra + | DA_Systematic_Literature_Postprint.pdf; 1-s2.0-S001048252201099X-main.pdf |
| Detecting drift in deep learning: A methodology primer / Piano, Luca; Garcea, Fabio; Gatteschi, Valentina; Lamberti, Fabrizio; Morra, Lia. - In: IT PROFESSIONAL. - ISSN 1520-9202. - 24:5(2022), pp. 53-60. [10.1109/MITP.2022.3191318] | 1-gen-2022 | Piano, LucaGarcea, FabioGatteschi, ValentinaLamberti, FabrizioMorra, Lia | ITPro_Drift_Detection_Last.pdf; Piano_Detecting_Drift_in_Deep_Learning_A_Methodology_Primer.pdf |
| HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers / Dibitonto, Francesco; Garcea, Fabio; Panisson, André; Perotti, Alan; Morra, Lia. - ELETTRONICO. - (In corso di stampa). (Intervento presentato al convegno The World Conference on eXplainable Artificial Intelligence (xAI 2023) tenutosi a Lisbon (Portugal) nel 26/07/2023 - 28/07/2023). | In corso di stampa | Francesco DibitontoFabio GarceaLia Morra + | HOLMES_XAI_WC_clean_source.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 |
| 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 |
| Self-supervised and semi-supervised learning for road condition estimation from distributed road-side cameras / Garcea, Fabio; Blanco, Giacomo; Croci, Alberto; Lamberti, Fabrizio; Mamone, Riccardo; Ricupero, Ruben; Morra, Lia; Allamano, Paola. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - STAMPA. - 12:(2022). [10.1038/s41598-022-26180-4] | 1-gen-2022 | Fabio GarceaGiacomo BlancoAlberto CrociFabrizio LambertiRuben RicuperoLia MorraPaola Allamano + | Waterview___Scientific_Reports_R2.pdf; s41598-022-26180-4.pdf |
| Toward a Realistic Benchmark for Out-of-Distribution Detection / Recalcati, Pietro; Garcea, Fabio; Piano, Luca; Lamberti, Fabrizio; Morra, Lia. - STAMPA. - (In corso di stampa). (Intervento presentato al convegno 10th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2023) tenutosi a Thessaloniki, Grecia nel 8-13 Ottobre 2023). | In corso di stampa | Pietro RecalcatiFabio GarceaLuca PianoFabrizio LambertiLia Morra | DSAA_2023_Preprint.pdf |