GARCEA, FABIO

GARCEA, FABIO  

Dipartimento di Automatica e Informatica  

057903  

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Citazione Data di pubblicazione Autori File
Drift Detection for Black Box Deep Learning Models / Piano, Luca; Garcea, Fabio; Cavallone, Andrea; Aparicio Vazquez, Ignacio; Morra, Lia; Lamberti, Fabrizio. - In: IT PROFESSIONAL. - ISSN 1520-9202. - 26:2(2024), pp. 24-31. [10.1109/MITP.2023.3338007] 1-gen-2024 Luca PianoFabio GarceaLia MorraFabrizio Lamberti + ITPro_Drift_Detection_Extension_Last (1).pdfDrift_Detection_for_Black-Box_Deep_Learning_Models.pdf
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.pdf1-s2.0-S001048252201099X-main.pdf
Enhancing Robustness and Interpretability in Computer Vision AI / Garcea, Fabio. - (2023 Sep 28), pp. 1-175. 28-set-2023 GARCEA, FABIO conv_enhancing_robustness_and_interpretability_in_computer_vision_ai.pdfconv_thesis_synthesis.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.pdf978-3-031-44067-0_25.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.pdfFACETS_DSAA_Postprint.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.pdfPiano_Detecting_Drift_in_Deep_Learning_A_Methodology_Primer.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.pdfs41598-022-26180-4.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.pdfOn_the_Use_of_Causal_Models_to_Build_Better_Datasets.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.pdfiNNvestigate_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.pdfObject_Tracking_through_Residual_and_Dense_LSTMs.pdf