Sfoglia per Relatore  

Opzioni
Vai a: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Mostrati risultati da 18 a 37 di 54
Tipologia Anno Titolo Titolo inglese Autore File
Lauree magistrali 2022 Early-Stage Alzheimer's Disease Detection Using an Explainable Deep Learning Method and Functional Magnetic Resonance Imaging (fMRI) Early-Stage Alzheimer's Disease Detection Using an Explainable Deep Learning Method and Functional Magnetic Resonance Imaging (fMRI) EBRAHIMIAN BABOUKANI, REZA
Lauree magistrali 2023 Enhancing Default Prediction with Mixed High-Frequency Market Data Enhancing Default Prediction with Mixed High-Frequency Market Data TROGU, SOFIA POPE
Lauree magistrali 2022 Evaluation of basic mathematical abilities of neural networks Evaluation of basic mathematical abilities of neural networks HOU, KUINAN
Lauree magistrali 2020 Explainability of machine learning models: A systematic review and a case study on BERT Explainability of machine learning models: A systematic review and a case study on BERT ARCUDI, ALESSIO
Lauree magistrali 2022 Exploiting Large Language Models to Train Automatic Detectors of Sensitive Data Exploiting Large Language Models to Train Automatic Detectors of Sensitive Data DE RENZIS, SIMONE
Lauree magistrali 2023 Exploring Multilingual Embeddings for Italian Semantic Search: A Pretrained and Fine-tuned Approach Exploring Multilingual Embeddings for Italian Semantic Search: A Pretrained and Fine-tuned Approach RINALDI, NICOLÒ
Lauree magistrali 2023 Exploring the Influence of Graph Neural Network-Based Link Prediction on Social Contagion Dynamics Exploring the Influence of Graph Neural Network-Based Link Prediction on Social Contagion Dynamics VALLS CIFRE, ANTONI
Lauree magistrali 2024 Extracting Data from Banking Documents using Computer Vision and Natural Language Processing Tools Extracting Data from Banking Documents using Computer Vision and Natural Language Processing Tools VAROTTO, DAVIDE
Lauree magistrali 2023 FINE-TUNING DEEP LEARNING MODELS FOR AUTOMATED BIRD RECOGNITION: AN EMPIRICAL EVALUATION OF BIRDNET FINE-TUNING DEEP LEARNING MODELS FOR AUTOMATED BIRD RECOGNITION: AN EMPIRICAL EVALUATION OF BIRDNET TEYMOURI, SAMIRA
Lauree magistrali 2022 Forecasting epileptic seizures from electroencephalograms using deep neural networks Forecasting epileptic seizures from electroencephalograms using deep neural networks POZZA, MARCO
Lauree magistrali 2021 Generative adversarial network for predictive maintenance of a packaging machine Generative adversarial network for predictive maintenance of a packaging machine RASETTA, ADRIANO
Lauree magistrali 2024 Generative diffusion models for sequential recommendations Generative diffusion models for sequential recommendations ZOLGHADR, SHARARE
Lauree magistrali 2024 Improving LLaVA for Numerosity Perception: Analyzing Numerical Representations in a Multimodal LLM Improving LLaVA for Numerosity Perception: Analyzing Numerical Representations in a Multimodal LLM ONER, TIMUR
Lauree magistrali 2021 Investigating the dynamics of spontaneous activity in energy-based neural networks Investigating the dynamics of spontaneous activity in energy-based neural networks TAUSANI, LORENZO
Lauree magistrali 2023 Key Information Extraction from Visually-Rich Documents Key Information Extraction from Visually-Rich Documents VIRGINIO, GIACOMO
Lauree magistrali 2021 Learning constraints from human stop-feedbacks in Reinforcement Learning Learning constraints from human stop-feedbacks in Reinforcement Learning POLETTI, SILVIA
Lauree magistrali 2020 Machine Learning and Deep Learning approaches for XML document classification Machine Learning and Deep Learning approaches for XML document classification GAZZOLA, GIOVANNI
Lauree magistrali 2024 Mitigating Sycophancy in Large Language Models through Prompt Design: A Transparent Knowledge-Augmented Approach Based on Internal Retrieval Mitigating Sycophancy in Large Language Models through Prompt Design: A Transparent Knowledge-Augmented Approach Based on Internal Retrieval LA ROSA, ANDREA
Lauree magistrali 2021 Modelli di Machine Learning per la predizione di attacchi epilettici sulla base del segnale EEG Machine Learning models for epileptic seizures prediction based on EEG signal MORO, NICHOLAS
Lauree magistrali 2024 Monitoraggio acustico basato sull'intelligenza artificiale delle specie di uccelli alpine in Italia: una valutazione sistematica e un'ottimizzazione di BirdNET AI-based acoustic monitoring of Alpine bird species in Italy: A systematic evaluation and optimization of BirdNET SCHIAVO, GIACOMO
Mostrati risultati da 18 a 37 di 54
Legenda icone

  •  file ad accesso aperto
  •  file ad accesso riservato
  •  file sotto embargo
  •  nessun file disponibile