Alessandro Bria
Orcid: 0000-0002-2895-6544
According to our database1,
Alessandro Bria
authored at least 47 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
On the Cross-Dataset Generalization of Machine Learning for Network Intrusion Detection.
CoRR, 2024
2023
Artif. Intell. Medicine, September, 2023
J. Ambient Intell. Humaniz. Comput., March, 2023
Convolutional Networks and Transformers for Mammography Classification: An Experimental Study.
Sensors, February, 2023
Frontiers Artif. Intell., February, 2023
An end-to-end real-time pollutants spilling recognition in wastewater based on the IoT-ready SENSIPLUS platform.
J. King Saud Univ. Comput. Inf. Sci., January, 2023
End-to-End Asbestos Roof Detection on Orthophotos Using Transformer-Based YOLO Deep Neural Network.
Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023
Breast Mass Detection and Classification Using Transfer Learning on OPTIMAM Dataset Through RadImageNet Weights.
Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Proceedings of the Artificial Life and Evolutionary Computation - 16th Italian Workshop, 2022
An Open Source C Code Generator and a Tiny Machine Learning Toolchain for the SENSIPLUS Platform.
Proceedings of the 2022 IEEE International Conference on Smart Computing, 2022
Seamless Iterative Semi-supervised Correction of Imperfect Labels in Microscopy Images.
Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 2022
Transfer Learning in Breast Mass Detection on the OMI-DB Dataset: A Preliminary Study.
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022
2021
Proceedings of the IEEE International Conference on Smart Computing, 2021
Task-motion Planning via Tree-based Q-learning Approach for Robotic Object Displacement in Cluttered Spaces.
Proceedings of the 18th International Conference on Informatics in Control, 2021
2020
Pattern Recognit. Lett., 2020
Addressing class imbalance in deep learning for small lesion detection on medical images.
Comput. Biol. Medicine, 2020
Artif. Intell. Medicine, 2020
Proceedings of the IEEE International Conference on Smart Computing, 2020
Sinc-Based Convolutional Neural Networks for EEG-BCI-Based Motor Imagery Classification.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
2019
Frontiers Neuroinformatics, 2019
Proceedings of the IEEE International Conference on Smart Computing, 2019
Combining Convolutional Neural Networks for Multi-context Microcalcification Detection in Mammograms.
Proceedings of the Computer Analysis of Images and Patterns, 2019
2018
Improving the Automated Detection of Calcifications Using Adaptive Variance Stabilization.
IEEE Trans. Medical Imaging, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
A deep learning framework for micro-calcification detection in 2D mammography and C-view.
Proceedings of the 14th International Workshop on Breast Imaging, 2018
Mammogram denoising to improve the calcification detection performance of convolutional nets.
Proceedings of the 14th International Workshop on Breast Imaging, 2018
Improving the automated detection of calcifications by combining deep cascades and deep convolutional nets.
Proceedings of the 14th International Workshop on Breast Imaging, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017
Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017
The Effect of Mammogram Preprocessing on Microcalcification Detection with Convolutional Neural Networks.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017
2016
Automatic Microcalcification Detection in Multi-vendor Mammography Using Convolutional Neural Networks.
Proceedings of the Breast Imaging, 2016
Proceedings of the Breast Imaging, 2016
Proceedings of the Breast Imaging, 2016
2015
An open-source VAA3D plugin for real-time 3D visualization of terabyte-sized volumetric images.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
Learning from unbalanced data: A cascade-based approach for detecting clustered microcalcifications.
Medical Image Anal., 2014
A HPC infrastructure for processing and visualizing neuro-anatomical images obtained by Confocal Light Sheet Microscopy.
Proceedings of the International Conference on High Performance Computing & Simulation, 2014
2013
Proceedings of the Artificial Intelligence in Medicine, 2013
2012
TeraStitcher - A Tool for Fast Automatic 3D-Stitching of Teravoxel-Sized Microscopy Images.
BMC Bioinform., 2012
Proceedings of the Breast Imaging, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the 21st International Conference on Pattern Recognition, 2012