Alberto Belussi

About Alberto Belussi

Alberto Belussi, With an exceptional h-index of 17 and a recent h-index of 11 (since 2020), a distinguished researcher at Università degli Studi di Verona, specializes in the field of basi di dati, sistemi informativi geografici, databases, geographical information systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

A learning-based framework for spatial join processing: estimation, optimization and tuning

A Generic Machine Learning Model for Spatial Query Optimization based on Spatial Embeddings

Promoting sustainable tourism by recommending sequences of attractions with deep reinforcement learning

Tracking social provenance in chains of retweets

A Context-Aware Recommendation System with a Crowding Forecaster

Spatial embedding: a generic machine learning model for spatial query optimization

Towards a learned cost model for distributed spatial join: Data, code & models

Sequence recommendations for groups: A dynamic approach to balance preferences

Alberto Belussi Information

University

Position

Professore associato Dipartimento di Informatica Italy

Citations(all)

1315

Citations(since 2020)

346

Cited By

1074

hIndex(all)

17

hIndex(since 2020)

11

i10Index(all)

39

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Alberto Belussi Skills & Research Interests

basi di dati

sistemi informativi geografici

databases

geographical information systems

Top articles of Alberto Belussi

A learning-based framework for spatial join processing: estimation, optimization and tuning

The VLDB Journal

2024/2/13

A Generic Machine Learning Model for Spatial Query Optimization based on Spatial Embeddings

ACM Transactions on Spatial Algorithms and Systems

2024

Promoting sustainable tourism by recommending sequences of attractions with deep reinforcement learning

Information Technology & Tourism

2024/4/24

Tracking social provenance in chains of retweets

Knowledge and Information Systems

2023/10

A Context-Aware Recommendation System with a Crowding Forecaster

CEUR WORKSHOP PROCEEDINGS

2023

Spatial embedding: a generic machine learning model for spatial query optimization

2022/11/1

Towards a learned cost model for distributed spatial join: Data, code & models

2022/10/17

Sequence recommendations for groups: A dynamic approach to balance preferences

Information Systems

2022/9/1

Forecasting POI occupation with contextual machine learning

2022/8/29

Spatial data generators

2022/8/5

Tracking data provenance of archaeological temporal information in presence of uncertainty

ACM Journal on Computing and Cultural Heritage (JOCCH)

2022/4/8

CoPart: a context-based partitioning technique for big data

Journal of Big Data

2021/12

A Learned Query Optimizer for Spatial Join

2021/11/2

Spiderweb: a spatial data generator on the web

2020/11/3

Cost estimation of spatial join in spatialhadoop

GeoInformatica

2020/10

A framework for evaluating 3D topological relations based on a vector data model

Geoinformatica

2020/10

Distributed and Parallel Architectures for Spatial Data

2020/8/21

Using deep learning for big spatial data partitioning

ACM Transactions on Spatial Algorithms and Systems (TSAS)

2020/8/12

Skewness-based partitioning in SpatialHadoop

ISPRS International Journal of Geo-Information

2020/3/27

Promoting data provenance tracking in the archaeological interpretation process

2020

See List of Professors in Alberto Belussi University(Università degli Studi di Verona)

Co-Authors

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