Francesco Cauteruccio

According to our database1, Francesco Cauteruccio authored at least 25 papers between 2013 and 2021.

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



In proceedings 
PhD thesis 


Online presence:



A Logic-Based Framework Leveraging Neural Networks for Studying the Evolution of Neurological Disorders.
Theory Pract. Log. Program., 2021

A framework for anomaly detection and classification in Multiple IoT scenarios.
Future Gener. Comput. Syst., 2021

Applying Network Analysis for Extracting Knowledge About Environment Changes from Heterogeneous Sensor Data Streams.
Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

An approach to compute the scope of a social object in a Multi-IoT scenario.
Pervasive Mob. Comput., 2020

Generalizing identity-based string comparison metrics: Framework and techniques.
Knowl. Based Syst., 2020

A Lightweight Approach to Extract Interschema Properties from Structured, Semi-Structured and Unstructured Sources in a Big Data Scenario.
Int. J. Inf. Technol. Decis. Mak., 2020

A General Approach to Uniformly Handle Different String Metrics Based on Heterogeneous Alphabets.
IEEE Access, 2020

Co-posting Author Assortativity in Reddit.
Proceedings of the 28th Italian Symposium on Advanced Database Systems, 2020

Algorithms for Strings and Sequences: Searching Motifs.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019

Short-long term anomaly detection in wireless sensor networks based on machine learning and multi-parameterized edit distance.
Inf. Fusion, 2019

A new network-based approach to investigating neurological disorders.
Int. J. Data Min. Model. Manag., 2019

Investigating the Scope of a Thing in a Multiple Internet of Things Scenario.
Proceedings of the 27th Italian Symposium on Advanced Database Systems, 2019

Using Sentiment Analysis and Automated Reasoning to Boost Smart Lighting Systems.
Proceedings of the Internet and Distributed Computing Systems, 2019

Redefining Betweenness Centrality in a Multiple IoT Scenario.
Proceedings of the 1st Workshop on Artificial Intelligence and Internet of Things co-located with the 18th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2019), 2019

Integrating QuickBundles into a Model-Guided Approach for Extracting "Anatomically-Coherent" and "Symmetry-Aware" White Matter Fiber-Bundles.
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018

Mixing Logic Programming and Neural Networks to Support Neurological Disorders Analysis.
Proceedings of the Rules and Reasoning - Second International Joint Conference, 2018

High Performance Computation for the Multi-Parameterized Edit Distance.
Proceedings of the 26th Euromicro International Conference on Parallel, 2018

How Metadata Can Support the Study of Neurological Disorders: An Application to the Alzheimer's Disease.
Proceedings of the New Trends in Databases and Information Systems, 2018

A multisensor data fusion algorithm using the hidden correlations in Multiapplication Wireless Sensor data streams.
Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control, 2017

An automated string-based approach to extracting and characterizing White Matter fiber-bundles.
Comput. Biol. Medicine, 2016

Improving QuickBundles to Extract Anatomically Coherent White Matter Fiber-Bundles.
Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016

An automated string-based approach to White Matter fiber-bundles clustering.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A Model-Guided String-Based Approach to White Matter Fiber-Bundles Extraction.
Proceedings of the Brain Informatics and Health - 8th International Conference, 2015

Discovery of Hidden Correlations between Heterogeneous Wireless Sensor Data Streams.
Proceedings of the Internet and Distributed Computing Systems, 2014

A Domain Meta-wrapper Using Seeds for Intelligent Author List Extraction in the Domain of Scholarly Articles.
Proceedings of the Research and Advanced Technology for Digital Libraries, 2013