Santa Di Cataldo

Orcid: 0000-0002-6239-8945

According to our database1, Santa Di Cataldo authored at least 51 papers between 2007 and 2024.

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

Timeline

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Bibliography

2024
A Data Fusion Service-Oriented Infrastructure for Production Line Monitoring.
Proceedings of the IEEE International Conference on Industrial Technology, 2024

Physics-Informed Neural Networks: A Step Towards Data-Driven Optimization of Additive Manufacturing.
Proceedings of the 29th IEEE International Conference on Emerging Technologies and Factory Automation, 2024

An AI-Enabled Framework for Smart Semiconductor Manufacturing.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023
W2WNet: A two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality.
Expert Syst. Appl., 2023

Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0.
CoRR, 2023

Robotic Arm Dataset (RoAD): A Dataset to Support the Design and Test of Machine Learning-Driven Anomaly Detection in a Production Line.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Neuro-Symbolic Empowered Denoising Diffusion Probabilistic Models for Real-Time Anomaly Detection in Industry 4.0: Wild-and-Crazy-Idea Paper.
Proceedings of the Forum on Specification & Design Languages, 2023

A Distributed Software Platform for Additive Manufacturing.
Proceedings of the 28th IEEE International Conference on Emerging Technologies and Factory Automation, 2023

2022
In-Situ Defect Detection of Metal Additive Manufacturing: An Integrated Framework.
IEEE Trans. Emerg. Top. Comput., 2022

Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations.
BMC Bioinform., 2022

e-Pupil: IoT-Based Augmentative and Alternative Communication Device Exploiting the Pupillary Near-Reflex.
IEEE Access, 2022

High Resolution Explanation Maps for CNNs using Segmentation Networks.
Proceedings of the 2022 IEEE Symposium on Visual Languages and Human-Centric Computing, 2022

Quality inspection of critical aircraft engine components: towards full automation.
Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022

2021
Low-Overhead Adaptive Brightness Scaling for Energy Reduction in OLED Displays.
IEEE Trans. Emerg. Top. Comput., 2021

Flexible On-Line Reconfiguration of Multi-Core Neuromorphic Platforms.
IEEE Trans. Emerg. Top. Comput., 2021

Optimizing Quality Inspection and Control in Powder Bed Metal Additive Manufacturing: Challenges and Research Directions.
Proc. IEEE, 2021

Leading Information and Communication Technologies for Smart Manufacturing: Facing the New Challenges and Opportunities of the 4th Industrial Revolution.
Proc. IEEE, 2021

Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations: a COVID-19 case-study.
CoRR, 2021

A Bayesian approach to Expert Gate Incremental Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

Image analytics and machine learning for in-situ defects detection in Additive Manufacturing.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020
BioSeqZip: a collapser of NGS redundant reads for the optimization of sequence analysis.
Bioinform., 2020

DEEPrior: a deep learning tool for the prioritization of gene fusions.
Bioinform., 2020

Exploiting "Uncertain" Deep Networks for Data Cleaning in Digital Pathology.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Battery-Aware Operation Range Estimation for Terrestrial and Aerial Electric Vehicles.
IEEE Trans. Veh. Technol., 2019

A SystemC-AMS Framework for the Design and Simulation of Energy Management in Electric Vehicles.
IEEE Access, 2019

Realistic Multi-Scale Modeling of Household Electricity Behaviors.
IEEE Access, 2019

A Multi-Patient Data-Driven Approach to Blood Glucose Prediction.
IEEE Access, 2019

2018
Predicting the Oncogenic Potential of Gene Fusions Using Convolutional Neural Networks.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018

Going Deeper into Colorectal Cancer Histopathology.
Proceedings of the Biomedical Engineering Systems and Technologies, 2018

Colorectal Cancer Classification using Deep Convolutional Networks - An Experimental Study.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

2017
A Novel Proof-of-concept Framework for the Exploitation of ConvNets on Whole Slide Images.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

A Multi-modal Brain Image Registration Framework for US-guided Neuronavigation Systems - Integrating MR and US for Minimally Invasive Neuroimaging.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

2016
ANAlyte: A modular image analysis tool for ANA testing with indirect immunofluorescence.
Comput. Methods Programs Biomed., 2016

Automated 3D immunofluorescence analysis of Dorsal Root Ganglia for the investigation of neural circuit alterations: a preliminary study.
Proceedings of the Position Papers of the 2016 Federated Conference on Computer Science and Information Systems, 2016

2015
Image Processing Techniques for Histopathology.
PhD thesis, 2015

An automated approach to the segmentation of HEp-2 cells for the indirect immunofluorescence ANA test.
Comput. Medical Imaging Graph., 2015

Unsupervised HEp-2 mitosis recognition in indirect immunofluorescence imaging.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Subclass Discriminant Analysis of morphological and textural features for HEp-2 staining pattern classification.
Pattern Recognit., 2014

2013
A Preliminary Analysis on HEp-2 Pattern Classification: Evaluating Strategies Based on Support Vector Machines and Subclass Discriminant Analysis.
Proceedings of the Biomedical Engineering Systems and Technologies, 2013

Classification of HEp-2 Staining Patterns in ImmunoFluorescence Images - Comparison of Support Vector Machines and Subclass Discriminant Analysis Strategies.
Proceedings of the BIOINFORMATICS 2013 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Barcelona, Spain, 11, 2013

2012
Computer-aided techniques for chromogenic immunohistochemistry: Status and directions.
Comput. Biol. Medicine, 2012

Applying textural features to the classification of HEp-2 cell patterns in IIF images.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
Automated Segmentation of Cells With IHC Membrane Staining.
IEEE Trans. Biomed. Eng., 2011

Motion Artifact Correction in ASL images: An Improved Automated Procedure.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2010
Automated segmentation of tissue images for computerized IHC analysis.
Comput. Methods Programs Biomed., 2010

Achieving the way for automated segmentation of nuclei in cancer tissue images through morphology-based approach: A quantitative evaluation.
Comput. Medical Imaging Graph., 2010

2008
Automated Discrimination of Pathological Regions in Tissue Images: Unsupervised Clustering vs. Supervised SVM Classification.
Proceedings of the Biomedical Engineering Systems and Technologies, 2008

Fully-Automated Segmentation of Tumor Areas in Tissue Confocal Images - Comparison between a Custom Unsupervised and a Supervised SVM Approach.
Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008

Segmentation of nuclei in cancer tissue images: Contrasting active contours with morphology-based approach.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2007
Selection of Tumor Areas and Segmentation of Nuclear Membranes in Tissue Confocal Images: A Fully Automated Approach.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2007


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