Sfoglia per Relatore
Learning and adaptation to detect changes and anomalies in high-dimensional data
CARRERA, DIEGO
Leveraging student-teacher learning framework for semi-supervised visual anomaly detection and segmentation
2021/2022 Polidori, Alessandro
Lung cancer cell images classification by fisher vector and convolutional neural network features
2019/2020 RUFFONI, GIACOMO
Machine learning techniques to improve olive oil classification
2018/2019 CARMINATI, ANDREA
Monitoring HD progression via dictionary learning on cortical surfaces
2016/2017 BERTARINI, ANDREA
Monitoring Performance Measures in Routed Optical Networks
2022/2023 Tenenti, Lorenzo
Multiple augmented CAM : a general framework for interpreting CNN outputs through image augmentation and multi-frame super-resolution
2019/2020 Strada, Andrea
Neural network training on embedded systems : a feasibility study
2021/2022 Quarantiello, Davide
Non-planar object detection and identification by features matching and triangulation growth
2017/2018 LEVENI, FILIPPO
Object classification and counting with count-ception network
2017/2018 ZHOU, YINAN
Online segmentation of human activity time series
2021/2022 GHIGLIONE, CARLO
Open-set recognition for silicon wafer production monitoring
2020/2021 ILARI, MATTEO
Oversampling techniques to improve fraud detection
2018/2019 VISCO, VINCENZO
Patient-specific fine-tuning with scribbles supervision for semantic segmentation of kidney's biopsies
2021/2022 Rossi, Sebastiano
PC-Gau : PCA basis of scattered gaussians for shape matching via functional maps
2021/2022 Colombo, Michele
Perception visualizations for siamese networks. Seeing through the eyes of a convolutional neural network
2019/2020 GIULIVI, LORIS
Pixelwise anomaly detection exploiting steerable filters based methods
2019/2020 BIONDA, ANDREA
Quantized Reversible Layers for On-Device Neural Networks Training
2022/2023 Pollam, Giovanni Battista
Rare OTDR events retrieval with deep learning approaches
2021/2022 MOLAEI, AMIRSALAR
RenderedAttack: a framework to evaluate the robustness of adversarial attacks to road sign classifiers
2022/2023 CASTIGLIA, LORENZO
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