Sfoglia per Relatore  NANNI, LORIS

Opzioni
Vai a: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
Mostrati risultati da 12 a 31 di 101
Tipologia Anno Titolo Titolo inglese Autore File
Lauree triennali 2021 Classificazione automatica di specie ittiche nell'Adriatico mediante l'utilizzo di tecniche di Deep Learning Automatic classification of fish species in the Adriatic Sea using Deep Learning techniques FANTIN, DAVIDE
Lauree triennali 2021 Classificazione della rappresentazione spaziale di enzimi mediante reti neurali convoluzionali 3D Enzyme classification using 3D convolutional neural networks on spatial representation VALENTINUZZI, ANDREA
Lauree triennali 2020 Classificazione di suoni ambientali mediante tecniche di Data augmentation e preprocessing dell'input Classification of environmental sounds by means of Data Augmentation techniques and preprocessing of the input POZZER, MATTEO
Lauree triennali 2021 Classificazione e rappresentazione di enzimi tramite 3D CNN Enzyme classification and representation using 3D CNNs BRUGNERA, ALESSANDRO
Lauree triennali 2020 Classificazione suoni ambientali mediante AlexNet Environmental sound classification using AlexNet MENGATO, ALBERTO
Lauree triennali 2020 CLOSING THE PERFORMANCE GAP BETWEEN SIAMESE NETWORKS FOR DISSIMILARITY IMAGE CLASSIFICATION AND CONVOLUTIONAL NEURAL NETWORKS CLOSING THE PERFORMANCE GAP BETWEEN SIAMESE NETWORKS FOR DISSIMILARITY IMAGE CLASSIFICATION AND CONVOLUTIONAL NEURAL NETWORKS SARRAGGIOTTO, DAVIDE
Lauree triennali 2021 Colonscopia al colon-retto: tecniche per creare esempi artificiali per addestrare reti neurali di segmentazione Colorectal colonoscopy: data augmentation for training segmentation neural networks BOSCHETTI, LEONE
Lauree triennali 2020 Comparison of different convolutional neural networks activation function and methods for building ensembles Comparison of different convolutional neural networks activation function and methods for building ensembles MICKEL, MAURO
Lauree triennali 2021 Convolutional Neural Network Ensemble for Foraminifera classification Convolutional Neural Network Ensemble for Foraminifera classification VALLAZZA, MIRO
Lauree triennali 2020 Creazione di esempi artificiali per la classificazione di lesioni cutanee Data Augmentation for Skin Lesion Classification BASTASIN, SIMONE
Lauree triennali 2020 Creazione di immagini artificiali per la segmentazione semantica negli esami di colonscopia. Data augmentation for semantic segmentation in colonoscopy examinations. CUZA, DANIELA
Lauree triennali 2021 Data augmentation approaches for polyp segmentation Data augmentation approaches for polyp segmentation DORIZZA, ALBERTO
Lauree triennali 2022 Data augmentation per la classificazione di cromosomi data augmentation for chromosomes classification GUGLIELMO, NICOLAS
Lauree magistrali 2022 Deep Learning Barcoding for Improved DNA Sequence Classification Deep Learning Barcoding for Improved DNA Sequence Classification ABDALLA, YAZZED HUSSEIN YOUNIS
Lauree triennali 2021 Deep Learning e Studio delle Ecocardiografie Fetali per la Diagnosi Prenatale di Cardiopatie Congenite Deep Learning and Study of Fetal Echocardiography for Prenatal Diagnosis of Congenital Heart Diseases DE ANTONI, SERENA
Lauree triennali 2020 Deep Learning ed Ecocardiografia Fetale per Riconoscimento di Cardiopatie Prenatale Deep Learning and Fetal Echocardiography for Prenatal Detection of Heart Disease BASTIANELLO, EDOARDO
Lauree triennali 2020 Deep learning per il riconoscimento automatico di particelle nella microscopia crioelettronica Deep learning for automated particle picking in cryo-electron microscopy BARBA, EDOARDO
Lauree triennali 2022 Deep Learning-Based Human Chromosome Classification: Data Augmentation and Ensemble Deep Learning-Based Human Chromosome Classification: Data Augmentation and Ensemble D'ANGELO, MATTIA
Lauree triennali 2020 Deep self-supervised learning using image reconstruction Deep self-supervised learning using image reconstruction NALATO, MARIO
Lauree magistrali 2023 Developing Deep Learning Models for Classifying Cognitive Load States by ECG and Pupil Dilation Data Integration to Study Human Behavior Developing Deep Learning Models for Classifying Cognitive Load States by ECG and Pupil Dilation Data Integration to Study Human Behavior KHALATABAD, SEPIDEH
Mostrati risultati da 12 a 31 di 101
Legenda icone

  •  file ad accesso aperto
  •  file ad accesso riservato
  •  file sotto embargo
  •  nessun file disponibile