Marco Severini

According to our database1, Marco Severini authored at least 18 papers between 2012 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2020
Who Cried When: Infant Cry Diarization with Dilated Fully-Convolutional Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Automatic Detection of Cry Sounds in Neonatal Intensive Care Units by Using Deep Learning and Acoustic Scene Simulation.
IEEE Access, 2019

2018
An IoT Solution for Energy Management at Building and District Level.
Proceedings of the 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, 2018

Collaborative Energy Management in Micro-Grid environments through multi-objective optimization.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Depth-Based Fall Detection: Outcomes from a Real Life Pilot.
Proceedings of the Ambient Assisted Living, 2018

Infant Cry Detection in Adverse Acoustic Environments by Using Deep Neural Networks.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
A new open-source Energy Management framework: Functional description and preliminary results.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
User-aided footprint extraction for appliance modelling in Non-Intrusive Load Monitoring.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Exploiting temporal features and pressure data for automatic leakage detection in smart water grids.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Improving the performance of the AFAMAP algorithm for Non-Intrusive Load Monitoring.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Energy-Aware task scheduler for self-powered sensor nodes: From model to firmware.
Ad Hoc Networks, 2015

Energy management with the support of dynamic pricing strategies in real micro-grid scenarios.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A novelty detection approach to identify the occurrence of leakage in smart gas and water grids.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Computational framework based on task and resource scheduling for micro grid design.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Hybrid soft computing algorithmic framework for smart home energy management.
Soft Comput., 2013

Energy-aware lazy scheduling algorithm for energy-harvesting sensor nodes.
Neural Comput. Appl., 2013

Smart Home Task and Energy Resource Scheduling Based on Nonlinear Programming.
Proceedings of the Recent Advances of Neural Network Models and Applications, 2013

2012
An Energy Aware Approach for Task Scheduling in Energy-Harvesting Sensor Nodes.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012


  Loading...