BISCONTIN, ALESSANDRO

	Nome completo
	
					BISCONTIN, ALESSANDRO
				
	Afferenza
	
					Dipartimento di Ingegneria e Architettura
				
	Tipo di ruolo
	
					Dottorandi

Mostra records

Risultati 1 - 3 di 3 (tempo di esecuzione: 0.009 secondi).

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

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

Titolo	Data di pubblicazione	Autori
Evaluating deep learning models for classifying OCT images with limited data and noisy labels	1-gen-2024	Miladinović, AleksandarBiscontin, AlessandroAjcevic, MilošKresevic, SimoneAccardo, AgostinoMarangoni, DarioTognetto, DanieleInferrera, Leandro
Optimizing Electroporation Responses in Genetically Engineered HEK Cells: An Ensemble Learning Approach	1-gen-2024	Francesco BassiSimone KresevicAlessandro BiscontinAleksandar MILADINOVIĆMILOŠ AjcevicAgostino Accardo
Optimizing machine learning models for classification of stroke patients with epileptiform EEG pattern: the impact of dataset balancing techniques	1-gen-2024	Iscra, KaterinaBiscontin, AlessandroMiladinovic, AleksandarBonini, AndreaFurlanis, GiovanniPrandin, GabrieleMalesani, MicheleNaccarato, MarcelloManganotti, PaoloAccardo, AgostinoAjčević, Miloš + -

ArTS Archivio della ricerca di Trieste

BISCONTIN, ALESSANDRO

Evaluating deep learning models for classifying OCT images with limited data and noisy labels

Optimizing Electroporation Responses in Genetically Engineered HEK Cells: An Ensemble Learning Approach

Optimizing machine learning models for classification of stroke patients with epileptiform EEG pattern: the impact of dataset balancing techniques