Nicola Pezzotti

Orcid: 0000-0001-7346-9182

According to our database1, Nicola Pezzotti authored at least 35 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
ProactiV: Studying Deep Learning Model Behavior Under Input Transformations.
IEEE Trans. Vis. Comput. Graph., August, 2024

The Transform-and-Perform Framework: Explainable Deep Learning Beyond Classification.
IEEE Trans. Vis. Comput. Graph., February, 2024

Class-Constrained t-SNE: Combining Data Features and Class Probabilities.
IEEE Trans. Vis. Comput. Graph., January, 2024

The Tree of Diffusion Life: Evolutionary Embeddings to Understand the Generation Process of Diffusion Models.
CoRR, 2024

2023
Generating High-Resolution 3D Faces and Bodies Using VQ-VAE-2 with PixelSNAIL Networks on 2D Representations.
Sensors, February, 2023

Unraveling the Temporal Dynamics of the Unet in Diffusion Models.
CoRR, 2023

Image Quality Assessment for Magnetic Resonance Imaging.
IEEE Access, 2023

NeRF for 3D Reconstruction from X-ray Angiography: Possibilities and Limitations.
Proceedings of the VCBM 2023: Eurographics Workshop on Visual Computing for Biology and Medicine, 2023

2022
Generating High-Resolution 3D Faces Using VQ-VAE-2 with PixelSNAIL Networks.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

2021
MimicBot: Combining Imitation and Reinforcement Learning to win in Bot Bowl.
CoRR, 2021

A latent space exploration for microscopic skin lesion augmentations with VQ-VAE-2 and PixelSNAIL.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021


Learning to Predict Error for MRI Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Active Deep Probabilistic Subsampling.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
GPGPU Linear Complexity t-SNE Optimization.
IEEE Trans. Vis. Comput. Graph., 2020

An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction: Application to the 2019 fastMRI Challenge.
CoRR, 2020

Simple and Accurate Uncertainty Quantification from Bias-Variance Decomposition.
CoRR, 2020

An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction.
IEEE Access, 2020

Don't Tear Your Hair Out: Analysis of the Impact of Skin Hair on the Diagnosis of Microscopic Skin Lesions.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019
Dimensionality-Reduction Algorithms for Progressive Visual Analytics.
PhD thesis, 2019

Focus+Context Exploration of Hierarchical Embeddings.
Comput. Graph. Forum, 2019

Comparative Analysis of Magnetic Resonance Fingerprinting Dictionaries via Dimensionality Reduction.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019

Cytosplore: Interactive Visual Single-Cell Profiling of the Immune System.
Proceedings of the 40th Annual Conference of the European Association for Computer Graphics, 2019

2018
DeepEyes: Progressive Visual Analytics for Designing Deep Neural Networks.
IEEE Trans. Vis. Comput. Graph., 2018

CyteGuide: Visual Guidance for Hierarchical Single-Cell Analysis.
IEEE Trans. Vis. Comput. Graph., 2018

Progressive Data Science: Potential and Challenges.
CoRR, 2018

Linear tSNE optimization for the Web.
CoRR, 2018

Multiscale Visualization and Exploration of Large Bipartite Graphs.
Comput. Graph. Forum, 2018

2017
Approximated and User Steerable tSNE for Progressive Visual Analytics.
IEEE Trans. Vis. Comput. Graph., 2017

2016
Hierarchical Stochastic Neighbor Embedding.
Comput. Graph. Forum, 2016

Cytosplore: Interactive Immune Cell Phenotyping for Large Single-Cell Datasets.
Comput. Graph. Forum, 2016

Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015
Poisson-driven seamless completion of triangular meshes.
Comput. Aided Geom. Des., 2015

2013
On-the-fly automatic alignment and global registration of free-path collected 3D scans.
Proceedings of the 1st Digital Heritage International Congress, 2013

2012
Boosting the Computational Performance of Feature-Based Multiple 3D Scan Alignment by iat-k-means Clustering.
Proceedings of the 2012 Second International Conference on 3D Imaging, 2012


  Loading...