MORRA, LIA

MORRA, LIA  

Dipartimento di Automatica e Informatica  

012819  

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Risultati 1 - 20 di 75 (tempo di esecuzione: 0.029 secondi).
Citazione Data di pubblicazione Autori File
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing / Mahmood, Usman; Shukla-Dave, Amita; Chan, Heang-Ping; Drukker, Karen; Samala, Ravi K; Chen, Quan; Vergara, Daniel; Greenspan, Hayit; Petrick, Nicholas; Sahiner, Berkman; Huo, Zhimin; Summers, Ronald M; Cha, Kenny H; Tourassi, Georgia; Deserno, Thomas M; Grizzard, Kevin T; Näppi, Janne J; Yoshida, Hiroyuki; Regge, Daniele; Mazurchuk, Richard; Suzuki, Kenji; Morra, Lia; Huisman, Henkjan; Armato, Samuel G; Hadjiiski, Lubomir. - 1:1(2024). [10.1093/bjrai/ubae003] 1-gen-2024 Morra, Lia + ubae003.pdf
Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging / Daniel, Vergara; Samuel G., Armato; Lubomir, Hadjiiski; Karen, Drukker; Cha, Kenny; Chan, Heang-Ping; Morra, Lia; J Näppi, Janne; Sahiner, Berkman; Yoshida, Hiroyuki; Chen, Quan; M Deserno, Thomas; Greenspan, Hayit; Huisman, Henkjan; Huo, Zhimin; Mazurchuk, Richard; Petrick, Nicholas; Regge, Daniele; Samala, Ravi; M Summers, Ronald; Suzuki, Kenji; Tourassi, Georgia; Shukla-Dave, Amita; Mahmood, Usman. - In: JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY. - ISSN 1546-1440. - 21:2(2024), pp. 341-343. [10.1016/j.jacr.2023.10.021] 1-gen-2024 Lia Morra + 1-s2.0-S1546144023008530-main.pdf
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
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.pdfOn_the_Fault_Tolerance_of_Self-Supervised_Training_in_Convolutional_Neural_Networks.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.pdfPiano_Bent__Broken_Bicycles_Leveraging_Synthetic_Data_for_Damaged_Object_WACV_2023_paper.pdfBent_amp_Broken_Bicycles_Leveraging_synthetic_data_for_damaged_object_re-identification.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
Deep learning-based algorithm for postoperative glioblastoma MRI segmentation: a promising new tool for tumor burden assessment / Bianconi, Andrea; Rossi, Luca Francesco; Bonada, Marta; Zeppa, Pietro; Nico, Elsa; De Marco, Raffaele; Lacroce, Paola; Cofano, Fabio; Bruno, Francesco; Morana, Giovanni; Melcarne, Antonio; Ruda, Roberta; Mainardi, Luca; Fiaschi, Pietro; Garbossa, Diego; Morra, Lia. - In: BRAIN INFORMATICS. - ISSN 2198-4026. - 10:1(2023). [10.1186/s40708-023-00207-6] 1-gen-2023 Rossi, Luca FrancescoMorra, Lia + s40708-023-00207-6.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.pdfpaper19.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_.pdf978-3-031-43153-1_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.pdf978-3-031-44067-0_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.pdf978-3-031-47966-3_27.pdf
MIXO: Mixture of experts-based visual odometry for multicamera autonomous systems / Morra, Lia; Biondo, Andrea; Poerio, Nicola; Lamberti, Fabrizio. - In: IEEE TRANSACTIONS ON CONSUMER ELECTRONICS. - ISSN 0098-3063. - STAMPA. - 69:3(2023), pp. 261-270. [10.1109/TCE.2023.3238655] 1-gen-2023 Lia MorraFabrizio Lamberti + MIXO_TCE_Final.pdfMIXO_Mixture_Of_Experts-Based_Visual_Odometry_for_Multicamera_Autonomous_Systems.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
Using Temporal Convolutional Networks to estimate ball possession in soccer games / Borghesi, Matteo; Lorenzo D., Costa; Morra, Lia; Lamberti, Fabrizio. - In: EXPERT SYSTEMS WITH APPLICATIONS. - ISSN 0957-4174. - STAMPA. - 223:(2023). [10.1016/j.eswa.2023.119780] 1-gen-2023 Morra, LiaLamberti, Fabrizio + eswa_tcn_authors_accepted_version.pdf1-s2.0-S0957417423002816-main.pdf
A randomised controlled trial of Digital Breast Tomosynthesis versus Digital Mammography as primary screening tests: screening results over subsequent episodes of the Proteus Donna study / Armaroli, Paola; Frigerio, Alfonso; Correale, Loredana; Ponti, Antonio; Artuso, Franca; Casella, Denise; Falco, Paolo; Favettini, Elisabetta; Fonio, Paolo; Giordano, Livia; Marra, Vincenzo; Milanesio, Luisella; Morra, Lia; Presti, Pietro; Riggi, Emilia; Vergini, Viviana; Segnan, Nereo. - In: INTERNATIONAL JOURNAL OF CANCER. - ISSN 0020-7136. - STAMPA. - 151:10(2022), pp. 1778-1790. [10.1002/ijc.34161] 1-gen-2022 Morra, Lia + 17430695.pdfIntl Journal of Cancer - 2022 -A randomised controlled trial of digital breast tomosynthesis vs digital.pdf
AAPM Task Group Report 273: Recommendations on Best Practices for AI and Machine Learning for Computer-Aided Diagnosis in Medical Imaging / Hadjiiski, Lubomir; Cha, Kenny; Chan, Heang-Ping; Drukker, Karen; Morra, Lia; Näppi, Janne J.; Sahiner, Berkman; Yoshida, Hiroyuki; Chen, Quan; Deserno, Thomas M.; Greenspan, Hayit; Huisman, Henkjan; Huo, Zhimin; Mazurchuk, Richard; Petrick, Nicholas; Regge, Daniele; Samala, Ravi; Summers, Ronald M.; Suzuki, Kenji; Tourassi, Georgia; Vergara, Daniel; Armato III, Samuel G.. - In: MEDICAL PHYSICS. - ISSN 0094-2405. - (2022), pp. 1-24. [10.1002/mp.16188] 1-gen-2022 Lia Morra + 22AAPMSR-1022-T2-FINALFILES_Article_File.pdfMedical Physics - 2022 - Hadjiiski - AAPM task group report 273 Recommendations on best practices for AI and machine.pdf
Comparing algorithms for aggressive driving event detection based on vehicle motion data / Gatteschi, Valentina; Cannavò, Alberto; Lamberti, Fabrizio; Morra, Lia; Montuschi, Paolo. - In: IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY. - ISSN 0018-9545. - STAMPA. - 71:1(2022), pp. 53-68. [10.1109/TVT.2021.3122197] 1-gen-2022 Gatteschi, ValentinaCannavò, AlbertoLamberti, FabrizioMorra, LiaMontuschi, Paolo final_manuscript.pdfComparing_Algorithms_for_Aggressive_Driving_Event_Detection_Based_on_Vehicle_Motion_Data.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
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.pdfMartone_PROTOtypical_Logic_Tensor_Networks_PROTO-LTN_for_Zero_Shot_Learning.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