Alessandro Crivellari

According to our database, Alessandro Crivellari authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Relationships between geo-spatial features and COVID-19 hospitalisations revealed by machine learning models and SHAP values.

Lixia Chu, Jeroen Nelen, Alessandro Crivellari, Dainius Masiliunas, Carola Hein, Christoph Lofi

Int. J. Digit. Earth, December, 2024

Contrastive Self-Supervised Learning for Globally Distributed Landslide Detection.

Omid Ghorbanzadeh, Hejar Shahabi, Sepideh Tavakkoli Piralilou, Alessandro Crivellari, Laura Elena Cue La Rosa, Clement Atzberger, Jonathan Li, Pedram Ghamisi

IEEE Access, 2024

2023

Super-resolution GANs for upscaling unplanned urban settlements from remote sensing satellite imagery - the case of Chinese urban village detection.

Alessandro Crivellari, Hong Wei, Chunzhu Wei, Yuhui Shi

Int. J. Digit. Earth, December, 2023

2022

Mapping Dwellings in IDP/Refugee Settlements Using Deep Learning.

Omid Ghorbanzadeh, Alessandro Crivellari, Dirk Tiede, Pedram Ghamisi, Stefan Lang

Remote. Sens., December, 2022

TraceBERT - A Feasibility Study on Reconstructing Spatial-Temporal Gaps from Incomplete Motion Trajectories via BERT Training Process on Discrete Location Sequences.

Alessandro Crivellari, Bernd Resch, Yuhui Shi

Sensors, 2022

2021

CrimeVec - Exploring Spatial-Temporal Based Vector Representations of Urban Crime Types and Crime-Related Urban Regions.

Alessandro Crivellari, Alina Ristea

ISPRS Int. J. Geo Inf., 2021

2020

Trace2trace - A Feasibility Study on Neural Machine Translation Applied to Human Motion Trajectories.

Alessandro Crivellari, Euro Beinat

Sensors, 2020

2019

From Motion Activity to Geo-Embeddings: Generating and Exploring Vector Representations of Locations, Traces and Visitors through Large-Scale Mobility Data.

Alessandro Crivellari, Euro Beinat

ISPRS Int. J. Geo Inf., 2019

2018

Beyond Spatial Proximity - Classifying Parks and Their Visitors in London Based on Spatiotemporal and Sentiment Analysis of Twitter Data.

Anna Kovacs-Györi, Alina Ristea, Ronald Kolcsar, Bernd Resch, Alessandro Crivellari, Thomas Blaschke

ISPRS Int. J. Geo Inf., 2018