BISCONTIN, ALESSANDRO
Analyzing Habitual Patterns and Behavioral Discrepancies in Ambient Assisted Living: An LSTM-Based Predictive Model
2025-01-01 Miladinović, A.; Biscontin, A.; Kresevic, S.; Vascotto, M.; Gomiseli, C.; Accardo, A.; Ajčević, M.
Evaluating deep learning models for classifying OCT images with limited data and noisy labels
2024-01-01 Miladinović, Aleksandar; Biscontin, Alessandro; Ajcevic, Miloš; Kresevic, Simone; Accardo, Agostino; Marangoni, Dario; Tognetto, Daniele; Inferrera, Leandro
Impact of Preprocessing on Semantic Segmentation of Oocyte Images
2025-01-01 Biscontin, Alessandro; Ajcevic, Miloš; Luppi, Stefania; Bottega, Roberta; Accardo, Agostino; Ricci, Giuseppe
Neurosymbolic AI Approach for Dry and Wet AMD Classification Using OCT Images
2025-01-01 Miladinović, A.; Biscontin, A.; Ajčević, M.; Accardo, A.; Marangoni, D.; Tognetto, D.; Inferrera, L.
Optimizing Electroporation Responses in Genetically Engineered HEK Cells: An Ensemble Learning Approach
2024-01-01 Bassi, Francesco; Kresevic, Simone; Biscontin, Alessandro; Miladinović, Aleksandar; Ajcevic, Miloš; Accardo, Agostino
Optimizing machine learning models for classification of stroke patients with epileptiform EEG pattern: the impact of dataset balancing techniques
2024-01-01 Iscra, Katerina; Biscontin, Alessandro; Miladinovic, Aleksandar; Bonini, Andrea; Furlanis, Giovanni; Prandin, Gabriele; Malesani, Michele; Naccarato, Marcello; Manganotti, Paolo; Accardo, Agostino; Ajčević, Miloš
Towards Efficient Wound Management: An Automatic Deep Learning Model for Accurate Wound Image Segmentation
2025-01-01 Miladinović, Aleksandar; Biscontin, Alessandro; Bonini, Andrea; Bassi, Francesco; Kresevic, Simone; Raffini, Alessandra; Iscra, Katerina; Accardo, Agostino; Ajcevic, Miloš