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Βραχυπρόθεσμη Πρόβλεψη Φωτοβολταϊκής Παραγωγής με Χρήση Τεχνητών Νευρωνικών Δικτύων

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Insights into company survival in Italy: A comparative study of cox proportional hazards and deepSurv models

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Learn to Fly II: Acrobatic Manoeuvres

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Advancing Federated Learning - Towards Decentralization and Personalized Models

Casella, B. (2025) · Institutional Research Information System University of Turin (University of Turin) · doi:10.5281/zenodo.15781147

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Context Awareness for the Operating Room of the Future

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Detection of Obstructive Sleep Apnoea using Features Extracted from Segmented Time-Series ECG Signals with a One Dimensional Convolutional Neural Network

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Machine Learning for Stuttering Detection and Classification in Stuttering Therapy

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Predicting Tumor-Infiltrating Lymphocytes for Glioblastoma using Radiomics and Deep Learning Approaches

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Ανάπτυξη μοντέλων πρόβλεψης ιδιοτήτων μοριακών δομών με αρχιτεκτονικές νευρωνικών δικτύων γραφημάτων

Savvas, I. (2024) · DSpace - NTUA (National Technical University of Athens) · doi:10.26240/heal.ntua.26304

Convention versus Convolution: Two Methods of Low-Energy Event Classification in CRESST

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Navigating the AI Regulatory Landscape: A Meta-Narrative Approach to Assessing the Impact of Regulation on Innovation

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Forecasting the Supreme Court: A Comparative Analysis of Machine Learning Algorithms on Petitioner vs. Appellee Outcomes

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Zum Einsatz künstlicher Intelligenz bei der dreidimensionalen Charakterisierung dendritischer Mikrostrukturen

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Συσταδοποίηση κινησιογραμμάτων Ελληνικού Παραδοσιακού Χορού με χρήση τεχνικών Βαθιάς Μάθησης

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