Imagen de Portada

Urban mobility and learning: analyzing the influence of commuting time on students' GPA at Politecnico di Milano

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Burzacchi, Arianna, Rossi, Lidia, Agasisti, Tommaso, Paganoni, Anna Maria, Vantini, Simone
Formato:	Preprint
Publicado:	2024
Materias:	Applications
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Monitoring road infrastructures from satellite images in Greater Maputo
por: Burzacchi, Arianna, et al.
Publicado: (2024)

Generating Synthetic Functional Data for Privacy-Preserving GPS Trajectories
por: Burzacchi, Arianna, et al.
Publicado: (2024)

Spatio-Temporal Analysis of Public Transportation Undercrowding: Leveraging APC Data for a Comprehensive Evaluation of Usage Rates
por: Burzacchi, Arianna, et al.
Publicado: (2024)

Reconstructing Movement from Sparse Samples: Enhanced Spatio-Temporal Matching Strategies for Low-Frequency Data
por: Yousefian, Ali, et al.
Publicado: (2026)

Distribution-Free Prediction Bands for Multivariate Functional Time Series: an Application to the Italian Gas Market
por: Diquigiovanni, Jacopo, et al.
Publicado: (2021)

Analysis of Higher Education Dropouts Dynamics through Multilevel Functional Decomposition of Recurrent Events in Counting Processes
por: Ragni, Alessandra, et al.
Publicado: (2024)

A point process approach for the classification of noisy calcium imaging data
por: Burzacchi, Arianna, et al.
Publicado: (2024)

Multi-state Modeling of Delay Evolution in Suburban Rail Transports
por: Colombo, Stefania, et al.
Publicado: (2025)

Clustering Hierarchies via a Semi-Parametric Generalized Linear Mixed Model: a statistical significance-based approach
por: Ragni, Alessandra, et al.
Publicado: (2023)

An interpretable and transferable model for shallow landslides detachment combining spatial Poisson point processes and generalized additive models
por: Patanè, Giulia, et al.
Publicado: (2024)

Cluster-weighted modeling of lifetime hierarchical data for profiling COVID-19 heart failure patients
por: Caldera, Luca, et al.
Publicado: (2025)

Another reason why normalized gain should continue to be used to analyze concept inventories (and estimate learning rates)
por: Navarrete, Jairo, et al.
Publicado: (2024)

Precrop Payoffs: Causal machine learning reveals large but variable yield benefits of crop rotation in major breadbaskets
por: Kluger, Dan M., et al.
Publicado: (2025)

A novel methodological framework for analyzing the momentum effect in tennis singles
por: Du, Chang, et al.
Publicado: (2025)

Comparison of methods for analyzing environmental mixtures effects on survival outcomes and application to a population-based cohort study
por: Mayer, Melanie N., et al.
Publicado: (2023)

Identification of socioeconomic factors influencing global food price security using machine learning
por: Shan, Shan
Publicado: (2024)

Multivariate Bayesian models with flexible shared interactions for analyzing spatio-temporal patterns of rare cancers
por: Retegui, Garazi, et al.
Publicado: (2024)

Coherent forecast combination for linearly constrained multiple time series
por: Girolimetto, Daniele, et al.
Publicado: (2024)

Advances in analyzing and engineering plant metabolic diversity
por: Kira J. Tiedge, et al.
Publicado: (2025)

Sparse least trimmed squares regression for analyzing high-dimensional large data sets
por: Alfons, Andreas, et al.
Publicado: (2013)

A novel method to analyze pattern shifts in rainfall using cluster analysis and probability models
por: Singh, Abhishek, et al.
Publicado: (2025)

A statistical framework for analyzing activity pattern from GPS data
por: Wu, Haoyang, et al.
Publicado: (2025)

A Bayesian framework for analyzing alleged cheating in sports through hidden codes, with applications to bridge and baseball
por: Boonstra, Aafko, et al.
Publicado: (2024)

CAMPUS: A mobile app for construction processes learning and teaching in higher education
por: Carolina Valbuena‐Bermúdez, et al.
Publicado: (2024)

On the Estimation of Climate Normals and Anomalies
por: Proietti, Tommaso, et al.
Publicado: (2025)

Expectile hidden Markov regression models for analyzing cryptocurrency returns
por: Foroni, Beatrice, et al.
Publicado: (2023)

Research on image processing of electric power system terminals based on reinforcement learning and mobile edge computing optimization
por: Hui Zhou, et al.
Publicado: (2024)

Seven Years of Design Research at Politecnico di Milano
Publicado: (2023)

Politecnico di Milano Technical University tradition and innovation
Publicado: (2002)

Teacher-student relationship and teaching styles in primary education. A model of analysis
por: Cardenal, Maria-Eugenia, et al.
Publicado: (2024)

Real-time small area estimation of food security in Zimbabwe: integrating mobile-phone and face-to-face surveys using joint multilevel regression and poststratification
por: Ishida, Sahoko, et al.
Publicado: (2025)

A framework to analyze biodiversity capacity at landscape level and identify areas of high ecological importance
por: Annie Jonsson, et al.
Publicado: (2025)

A fast approach for analyzing spatio-temporal patterns in ischemic heart disease mortality across US counties (1999-2021)
por: Urdangarin, A., et al.
Publicado: (2024)

Scaling behavioral incentives for low-carbon mobility through digital platforms
por: Liu, Bing, et al.
Publicado: (2025)

A pseudo-outcome-based framework to analyze treatment heterogeneity in survival data using electronic health records
por: Bo, Na, et al.
Publicado: (2024)

The impact of GitHub on students' learning and engagement in a software engineering course
por: Prutha Patani, et al.
Publicado: (2024)

Urban mapping in Dar es Salaam using AJIVE
por: Carrington, Rachel J., et al.
Publicado: (2024)

Forecasting Italian daily electricity generation disaggregated by geographical zones and energy sources using coherent forecast combination
por: Girolimetto, Daniele, et al.
Publicado: (2025)

Energy load forecasting using Terna public data: a free lunch multi-task combination approach
por: Girolimetto, Daniele, et al.
Publicado: (2025)

Bayesian Network Regularized Regression for Modeling Urban Crime Occurrences
por: Upton, Elizabeth, et al.
Publicado: (2017)