Sfoglia per Relatore
Crescita delle energie rinnovabili: un'analisi multipaese con modelli di diffusione e modelli per dati funzionali
2022/2023 GAETANI, MARGHERITA
Crescita dell’indice dei prezzi al consumo: un’analisi multi-paese
2024/2025 FABRIS, ELEONORA
Crisi Climatica: Analisi dell’evoluzione del riscaldamento globale, delle emissioni di gas serra e dei disastri naturali
2023/2024 FORTE, RICCARDO
Cyclic-time granularity based decomposition approach for multi-seasonal time-series and its use on a data management and analysis backbone for Peruvian data about exports
2022/2023 POSTIGO HUANQUI, SERGIO RENATO
Deep Learning and Hierarchical Approaches for Sporadic Demand Forecasting
2023/2024 CECCON, GIOELE
Demand Forecasting in Industrial Contexts: From Traditional Approaches to Foundation Models
2024/2025 MEGGIOLARO, ALEX
Diffusion of Innovations and Technology Readiness: Analyzing public discussion on ChatGPT
2022/2023 GERMAN, ELIZAVETA
Diffusione con potenziale variabile: analisi statistica sui consumi di energia nucleare per Stati Uniti, Francia e Germania
2013/2014 Guerra, Marco
Diffusione della rete mobile: un’analisi multipaese con modelli di diffusione e modelli per dati funzionali
2021/2022 SALMASO, MATTEO
Dinamiche di diffusione delle energie rinnovabili: Trends degli impianti fotovoltaici
2020/2021 ZENNARO, DAVIDE
Energia Nucleare e Rinnovabile: Analisi di Competizione e Previsione
2025/2026 NONES, DAVIDE
Enhancing Innovation Diffusion Models with Neural Residual Modeling for Improved Forecasting
2025/2026 TÁMARA GLÜCK, NICOLÁS MATÍAS
Estensione di modelli di diffusione con funzioni di intervento
2022/2023 CAIS, NICCOLÒ
Estensioni di modelli di diffusione univariati: alcune proposte e applicazioni.
2022/2023 TOSETTO, GIORGIA MARIA
Evoluzione delle vaccinazioni anti Covid-19: modelli e previsioni per alcuni Paesi
2023/2024 SANTARELLI, GRETA
Exploring Customer Behavior Through Push Notifications: A Comparative Analysis of Machine Learning and Deep Learning Approaches
2024/2025 NEBBIAI, GIULIO
Exponential smoothing with neural networks: a TBATS-NN hybrid model for hierarchical time series forecasting
2023/2024 BIANCUCCI, FRANCESCO
Forecasting Solar Panel Electricity Generation for 50 Countries with Diffusion Models
2024/2025 SHEIBANI, MOONES SADAT
From Fossil Fuels to Electric: Modeling Battery Electric Vehicle Adoption with Innovation Diffusion and Machine Learning Models
2024/2025 KARAKUŞ, IŞIKAY
Gli effetti del Dieselgate. Analisi e previsione dei dati di vendita mensili del gruppo Volkswagen.
2020/2021 CROCETTA, MATTIA
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree magistrali | 2022 | Crescita delle energie rinnovabili: un'analisi multipaese con modelli di diffusione e modelli per dati funzionali | Renewable energy growth: a multi-country analysis with diffusion models and functional data models | GAETANI, MARGHERITA | |
| Lauree magistrali | 2024 | Crescita dell’indice dei prezzi al consumo: un’analisi multi-paese | Consumer price index growth: a multi-country analysis | FABRIS, ELEONORA | |
| Lauree triennali | 2023 | Crisi Climatica: Analisi dell’evoluzione del riscaldamento globale, delle emissioni di gas serra e dei disastri naturali | Climate Crisis: Analysis of the evolution of global warming, greenhouse gas emissions and natural disasters | FORTE, RICCARDO | |
| Lauree magistrali | 2022 | Cyclic-time granularity based decomposition approach for multi-seasonal time-series and its use on a data management and analysis backbone for Peruvian data about exports | Cyclic-time granularity based decomposition approach for multi-seasonal time-series and its use on a data management and analysis backbone for Peruvian data about exports | POSTIGO HUANQUI, SERGIO RENATO | |
| Lauree magistrali | 2023 | Deep Learning and Hierarchical Approaches for Sporadic Demand Forecasting | Deep Learning and Hierarchical Approaches for Sporadic Demand Forecasting | CECCON, GIOELE | |
| Lauree magistrali | 2024 | Demand Forecasting in Industrial Contexts: From Traditional Approaches to Foundation Models | Demand Forecasting in Industrial Contexts: From Traditional Approaches to Foundation Models | MEGGIOLARO, ALEX | |
| Lauree magistrali | 2022 | Diffusion of Innovations and Technology Readiness: Analyzing public discussion on ChatGPT | Diffusion of Innovations and Technology Readiness: Analyzing public discussion on ChatGPT | GERMAN, ELIZAVETA | |
| Lauree triennali | 2013 | Diffusione con potenziale variabile: analisi statistica sui consumi di energia nucleare per Stati Uniti, Francia e Germania | - | Guerra, Marco | |
| Lauree magistrali | 2021 | Diffusione della rete mobile: un’analisi multipaese con modelli di diffusione e modelli per dati funzionali | Mobile network diffusion: a multi-country analysis based on diffusion models and functional data | SALMASO, MATTEO | |
| Lauree triennali | 2020 | Dinamiche di diffusione delle energie rinnovabili: Trends degli impianti fotovoltaici | Diffusion dynamics of renewable energies: Trends of photovoltaic systems | ZENNARO, DAVIDE | |
| Lauree magistrali | 2025 | Energia Nucleare e Rinnovabile: Analisi di Competizione e Previsione | Nuclear and Renewable Energy: Competition Analysis and Forecasting | NONES, DAVIDE | |
| Lauree magistrali | 2025 | Enhancing Innovation Diffusion Models with Neural Residual Modeling for Improved Forecasting | Enhancing Innovation Diffusion Models with Neural Residual Modeling for Improved Forecasting | TÁMARA GLÜCK, NICOLÁS MATÍAS | |
| Lauree magistrali | 2022 | Estensione di modelli di diffusione con funzioni di intervento | Extension of Diffusion Models with Intervention Functions | CAIS, NICCOLÒ | |
| Lauree magistrali | 2022 | Estensioni di modelli di diffusione univariati: alcune proposte e applicazioni. | Univariate diffusion models extensions: proposals and applications | TOSETTO, GIORGIA MARIA | |
| Lauree magistrali | 2023 | Evoluzione delle vaccinazioni anti Covid-19: modelli e previsioni per alcuni Paesi | Evolution of anti Covid-19 vaccinations: models and forecasts for some countries | SANTARELLI, GRETA | |
| Lauree magistrali | 2024 | Exploring Customer Behavior Through Push Notifications: A Comparative Analysis of Machine Learning and Deep Learning Approaches | Exploring Customer Behavior Through Push Notifications: A Comparative Analysis of Machine Learning and Deep Learning Approaches | NEBBIAI, GIULIO | |
| Lauree magistrali | 2023 | Exponential smoothing with neural networks: a TBATS-NN hybrid model for hierarchical time series forecasting | Exponential smoothing with neural networks: a TBATS-NN hybrid model for hierarchical time series forecasting | BIANCUCCI, FRANCESCO | |
| Lauree magistrali | 2024 | Forecasting Solar Panel Electricity Generation for 50 Countries with Diffusion Models | Forecasting Solar Panel Electricity Generation for 50 Countries with Diffusion Models | SHEIBANI, MOONES SADAT | |
| Lauree magistrali | 2024 | From Fossil Fuels to Electric: Modeling Battery Electric Vehicle Adoption with Innovation Diffusion and Machine Learning Models | From Fossil Fuels to Electric: Modeling Battery Electric Vehicle Adoption with Innovation Diffusion and Machine Learning Models | KARAKUŞ, IŞIKAY | |
| Lauree triennali | 2020 | Gli effetti del Dieselgate. Analisi e previsione dei dati di vendita mensili del gruppo Volkswagen. | The Dieselgate effects. Analysis and forecast of the monthly sales data of the Volkswagen Group. | CROCETTA, MATTIA |
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