Stefano Bortoli

Orcid: 0000-0003-1565-3007

According to our database1, Stefano Bortoli authored at least 33 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Fuzzy modelling and inference for physics-aware road vehicle driver behaviour model calibration.
Expert Syst. Appl., 2024

Benchmarking Stream Join Algorithms on GPUs: A Framework and its Application to the State-of-the-art.
Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

HUILLY: A Non-Blocking Ingestion Buffer for Timestepped Simulation Analytics.
Proceedings of the 24th IEEE International Symposium on Cluster, 2024

2023
Variable Selection in Maximum Mean Discrepancy for Interpretable Distribution Comparison.
CoRR, 2023

Autonomic Orchestration of in-Situ and in-Transit Data Analytics For Simulation Studies.
Proceedings of the Winter Simulation Conference, 2023

Towards Discrete-Event, Aggregating, and Relational Control Interfaces for Traffic Simulation.
Proceedings of the 2023 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2023

2022
Towards a Modular Data Management System Framework.
Proceedings of the 1st International Workshop on Composable Data Management Systems, 2022

Topology-Preserving Simplification of OpenStreetMap Network Data for Large-scale Simulation in SUMO.
Proceedings of the SUMO User Conference 2022, Virtual Event, May 9-11, 2022, 2022

2021
OBELISC: Oscillator-Based Modelling and Control Using Efficient Neural Learning for Intelligent Road Traffic Signal Calculation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Querying Top-k Dominant Traffic Flows on Large Urban Road Networks.
Proceedings of the 24th International Conference on Extending Database Technology, 2021

TRAMESINO: Traffic Memory System for Intelligent Optimization of Road Traffic Control.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2021

2020
GANNSTER: Graph-Augmented Neural Network Spatio-Temporal Reasoner for Traffic Forecasting.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2020

Real-time Traffic Jam Detection and Congestion Reduction Using Streaming Graph Analytics.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
SPICE: Streaming PCA Fault Identification and Classification Engine in Predictive Maintenance.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

An Online Incremental Clustering Framework for Real-Time Stream Analytics.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Dimensionality Reduction for Low-Latency High-Throughput Fraud Detection on Datastreams.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

NARPCA: Neural Accumulate-Retract PCA for Low-Latency High-Throughput Processing on Datastreams.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2018
STARLORD: Sliding Window Temporal Accumulate-Retract Learning for Online Reasoning on Datastreams.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

KerA: Scalable Data Ingestion for Stream Processing.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Moira: A Goal-Oriented Incremental Machine Learning Approach to Dynamic Resource Cost Estimation in Distributed Stream Processing Systems.
Proceedings of the International Workshop on Real-Time Business Intelligence and Analytics, 2018

2017
Towards a unified storage and ingestion architecture for stream processing.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Semantic big data for tax assessment.
Proceedings of the International Workshop on Semantic Big Data, 2016

2014
SICRaS: A Semantic Big Data Platform for Fighting Tax Evasion and Supporting Social Policy Making.
Proceedings of the Industry Track at the International Semantic Web Conference 2014 Co-located with the 13th International Semantic Web Conference (ISWC 2014), 2014

Okkam Synapsis: Connecting Vocabularies Across Systems and Users.
Proceedings of the Semantic Web Collaborative Spaces, 2014

Okkam Synapsis: A Community-driven Hub for Sharing and Reusing Mappings Across Vocabularies.
Proceedings of the Third International Workshop on Semantic Web Collaborative Spaces co-located with the 13th International Semantic Web Conference (ISWC 2014), 2014

OntoCleaning the Okkam Conceptual Model.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2014 Workshops, 2014

An Identification Ontology for Entity Matching.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2014 Workshops, 2014

2013
Knowledge Based Open Entity Matching.
PhD thesis, 2013

Can Persistent Identifiers Be Cool?
Int. J. Digit. Curation, 2013

2011
Decentralised social network management.
Int. J. Web Based Communities, 2011

2010
Maskkot - An Entity-centric Annotation Platform.
Proceedings of the International Conference on Language Resources and Evaluation, 2010

2008
LibSwb: Browsing the Entity Context.
Proceedings of the 5th Workshop on Semantic Web Applications and Perspectives (SWAP2008), 2008

2007
Foaf-O-Matic - Solving the Identity Problem in the FOAF Network.
Proceedings of the 4th Italian Semantic Web Workshop, Dipartimento di Informatica - Universita' degli Studi di Bari, 2007


  Loading...