Browse by Relators
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Number of items: 39.
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Raffaele Martone.
3D Organoid Classification via Deep Learning for Toxicological EDC Screening.
Rel. Francesco Ponzio, Santa Di Cataldo. Politecnico di Torino, Master of science program in Computer Engineering, 2026
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Samuele Tallone.
Evaluating Supervised and Weakly-Supervised Learning for the Classification of Sarcomatoid Mesothelioma and Pleuritis.
Rel. Francesco Ponzio, Santa Di Cataldo. Politecnico di Torino, Master of science program in Computer Engineering, 2026
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Diego Porto.
Management framework for Additive Manufacturing.
Rel. Edoardo Patti, Santa Di Cataldo, Rafael Natalio Fontana Crespo, Fabio Depaoli. Politecnico di Torino, Master of science program in Computer Engineering, 2025
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Kuerxi Gulisidan.
3D Multi-Input Deep Learning for Brain Lesion Classification: Attention-Based Analysis of Stable vs. Recurrent Lesions.
Rel. Santa Di Cataldo, Francesco Ponzio. Politecnico di Torino, Master of science program in Data Science And Engineering, 2025
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Ivan Magistro Contenta.
FasterCellpose: Knowledge Distillation for Efficient Fluorescence Nuclear Segmentation.
Rel. Santa Di Cataldo, Francesco Ponzio. Politecnico di Torino, Master of science program in Computer Engineering, 2025
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Hesam Khanjani Kakroodi.
Anomaly detection in manufacturing line.
Rel. Santa Di Cataldo, Alessio Mascolini, Francesco Ponzio. Politecnico di Torino, Master of science program in Data Science And Engineering, 2025
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Andrea Di Battista.
DTforVr: Realtà virtuale per la formazione sul rischio idrogeologico = DtforVr: Virtual reality for hydrogeological risk training.
Rel. Anna Osello, Santa Di Cataldo, Davide Lorenzo Dino Aschieri. Politecnico di Torino, Master of science program in Computer Engineering, 2025
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Ahmadreza Farmahini Farahani.
RobVC: An End-to-End Self-Supervised Voice Conversion.
Rel. Santa Di Cataldo, Francesco Ponzio, Alessio Mascolini. Politecnico di Torino, Master of science program in Computer Engineering, 2025
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Mattia Milone.
Synthetic Generation of Air Traffic Trajectories Using Deep Learning.
Rel. Santa Di Cataldo, Francesco Ponzio. Politecnico di Torino, Master of science program in Computer Engineering, 2025
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Stiven Hidri.
Tumor Recurrence Prediction After Stereotactic Radiosurgery: Multimodal Machine Learning Approaches in Imbalanced Data Contexts.
Rel. Santa Di Cataldo, Francesco Ponzio. Politecnico di Torino, Master of science program in Computer Engineering, 2024
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Seyed Mohammad Mehdi Hosseini.
Uncertainty-aware Renal Cell Carcinoma Subtype Classification.
Rel. Santa Di Cataldo, Francesco Ponzio. Politecnico di Torino, Master of science program in Ict For Smart Societies, 2024
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Sonia Ciuffreda.
Banff score: from clinical practice to computer-aided tools.
Rel. Santa Di Cataldo, Francesco Ponzio. Politecnico di Torino, Master of science program in Biomedical Engineering, 2023
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Michele Cerra.
Assessing microstructural brain differences in epileptic patients with vagus nerve stimulation via diffusion MRI, tractography and machine learning.
Rel. Santa Di Cataldo, Francesco Ponzio, Benoît Macq, Alexandre Berger, Nicolas Delinte. Politecnico di Torino, Master of science program in Computer Engineering, 2023
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Mohamad Mohamad.
Self-Supervision for Renal Cell Carcinoma Subtyping.
Rel. Santa Di Cataldo, Francesco Ponzio. Politecnico di Torino, Master of science program in Computer Engineering, 2023
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Elisa Tedde.
Deep Learning for Assessing Risk of Prostate Cancer.
Rel. Santa Di Cataldo, Massimiliano Ruocco, Francesco Ponzio. Politecnico di Torino, Master of science program in Computer Engineering, 2022
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Rafael Natalio Fontana Crespo.
Design and Development of a Distributed Software Platform for Additive Manufacturing.
Rel. Edoardo Patti, Santa Di Cataldo, Davide Cannizzaro. Politecnico di Torino, Master of science program in Mechatronic Engineering, 2022
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Giorgia Ghione.
An interpretable BERT-based architecture for SARS-CoV-2 variant identification.
Rel. Santa Di Cataldo, Marta Lovino, Giansalvo Cirrincione, Elisa Ficarra. Politecnico di Torino, Master of science program in Computer Engineering, 2022
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Francesca Miccolis.
DNAfusion: a nf-core pipeline for gene fusion detection on DNA samples.
Rel. Santa Di Cataldo, Elisa Ficarra, Marta Lovino. Politecnico di Torino, Master of science program in Biomedical Engineering, 2022
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Juan Sebastian Rojas Velandia.
Generative Adversarial Network for short-term EEG signals compression.
Rel. Edoardo Patti, Santa Di Cataldo, Alessandro Aliberti. Politecnico di Torino, Master of science program in Ict For Smart Societies, 2022
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Michelangelo Monaco.
Management framework for Additive Manufacturing.
Rel. Edoardo Patti, Santa Di Cataldo, Davide Cannizzaro. Politecnico di Torino, Master of science program in Mechatronic Engineering, 2021
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Juan Sebastian Gomez Vidal.
NEURAL NETWORKS AND TRANSFER LEARNING TECHNIQUES TO FORECAST BLOOD GLUCOSE.
Rel. Edoardo Patti, Santa Di Cataldo, Alessandro Aliberti. Politecnico di Torino, Master of science program in Computer Engineering, 2021
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Roberta Ritella.
Design and development of distributed software platform to gather, manage and visualize multimedia clinical files.
Rel. Edoardo Patti, Santa Di Cataldo, Matteo Orlando. Politecnico di Torino, Master of science program in Biomedical Engineering, 2021
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Emilio Ippoliti.
Use of apriori information for anatomical segmentation of medical images.
Rel. Santa Di Cataldo, Edoardo Patti. Politecnico di Torino, Master of science program in Biomedical Engineering, 2021
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Daniel Fraire.
Intelligenza Artificiale in supporto alla medicina: sviluppo di un sistema di rilevazione automatica di masse annessiali ovariche in immagini ecografiche = AI supporting medicine: development of an automatic detection system for ovarian adnexal masses in ultrasound images.
Rel. Santa Di Cataldo, Edoardo Patti, Daniele Conti. Politecnico di Torino, Master of science program in Biomedical Engineering, 2021
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Babar Saleem.
Characterization of the EBM Additive Manufacturing Process Parameters using Artificial Neural Networks.
Rel. Luca Iuliano, Manuela Galati, Enrico Macii, Santa Di Cataldo. Politecnico di Torino, Master of science program in Mechatronic Engineering, 2020
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Stefano Picerno.
Deep Neural Networks for segmentation of CT medical images.
Rel. Santa Di Cataldo, Edoardo Patti, Daniele Conti. Politecnico di Torino, Master of science program in Ict For Smart Societies, 2020
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Antonio Giuseppe Varrella.
ICT for in-situ monitoring of metal Additive Manufacturing.
Rel. Edoardo Patti, Davide Cannizzaro, Santa Di Cataldo, Massimo Poncino. Politecnico di Torino, Master of science program in Ict For Smart Societies, 2020
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Miguel Angel Garcia Varela.
Design and prototyping of new Machine Learning algorithms for Predictive Maintenance purposes.
Rel. Edoardo Patti, Santa Di Cataldo. Politecnico di Torino, Master of science program in Ict For Smart Societies, 2020
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Piero Policastro.
Applicazione di reti Bayesiane all'analisi automatica di immagini istopatologiche = Application of Bayesian networks to automated histopathological image analysis.
Rel. Santa Di Cataldo, Francesco Ponzio. Politecnico di Torino, Master of science program in Biomedical Engineering, 2020
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Valerio Mieuli.
Learning incrementale con reti neurali bayesiane = Incremental learning with bayesian neural networks.
Rel. Elisa Ficarra, Santa Di Cataldo, Francesco Ponzio. Politecnico di Torino, Master of science program in Computer Engineering, 2020
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Giovanni Ferrari.
Image analytics for in-situ defects detection in Additive Manifacturing.
Rel. Edoardo Patti, Santa Di Cataldo, Massimo Poncino. Politecnico di Torino, Master of science program in Mechatronic Engineering, 2019
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Vincenzo Lacovara.
Tecniche di Pattern Recognition per il riconoscimento e la classificazione di interruttori elettrici. Uno studio sperimentale in ambito enterprise per la messa in sicurezza degli stabilimenti = Pattern Recognition techniques for the recognition and classification of electrical switches. An enterprise experimental study for the safety of the electrical plants.
Rel. Santa Di Cataldo. Politecnico di Torino, Master of science program in Computer Engineering, 2019
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Federico Sternini.
Evaluation and comparison of machine learning techniques for the prediction of blood glucose value in patients with type 1 diabetes mellitus.
Rel. Edoardo Patti, Andrea Acquaviva, Alessandro Aliberti, Santa Di Cataldo. Politecnico di Torino, Master of science program in Biomedical Engineering, 2019
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Salvatore Puzzo.
ANALISI E SVILUPPO DI RETI NEURALI MULTI-INPUT PER LA PREDIZIONE DEL LIVELLO GLICEMICO IN PAZIENTI DIABETICI DI TIPO 1 = ANALYSIS AND DEVELOPMENT OF MULTI-INPUT NEURAL NETWORKS FOR THE PREDICTION OF BLOOD GLUCOSE IN TYPE 1 DIABETIC PATIENTS.
Rel. Edoardo Patti, Andrea Acquaviva, Alessandro Aliberti, Santa Di Cataldo. Politecnico di Torino, Master of science program in Biomedical Engineering, 2019
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Giovanni Chiarion.
Progettazione di un comunicatore oculare IoT basato sul monitoraggio della dimensione pupillare = Design of an IoT communication device based on pupil size monitoring.
Rel. Santa Di Cataldo, Edoardo Patti, Silvestro Roatta, Francesco Ponzio. Politecnico di Torino, Master of science program in Biomedical Engineering, 2019
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Raffaele Ferri.
Manufacturing process optimization: a data-driven approach employing machine learning techniques.
Rel. Elisa Ficarra, Luca Barbierato, Santa Di Cataldo. Politecnico di Torino, Master of science program in Mechanical Engineering, 2019
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Valeria Ariotta.
Chemotherapeutic response prediction in high-grade serous ovarian cancer using histopathological image analysis.
Rel. Elisa Ficarra, Santa Di Cataldo. Politecnico di Torino, Master of science program in Biomedical Engineering, 2018
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Giorgia Cantisani.
Transfer Learning and Data Augmentation for Semantic Segmentation in Histopathology.
Rel. Elisa Ficarra, Santa Di Cataldo, Francesco Ponzio. Politecnico di Torino, Master of science program in Biomedical Engineering, 2018
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Antonella Goddi.
Studio e sviluppo di un sistema di Eye-tracking basato su pupillometria per pazienti affetti da Sclerosi Laterale Amiotrofica = Design and development of an Eye_tracking system based on pupillometry for Amyotrophic Lateral Sclerosis patients.
Rel. Santa Di Cataldo, Elisa Ficarra, Silvestro Roatta. Politecnico di Torino, Master of science program in Biomedical Engineering, 2018
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