Antonio L. Alfeo

Orcid: 0000-0002-0928-3188

According to our database1, Antonio L. Alfeo authored at least 24 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
Counterfactual-Based Feature Importance for Explainable Regression of Manufacturing Production Quality Measure.
Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

2023
From local counterfactuals to global feature importance: efficient, robust, and model-agnostic explanations for brain connectivity networks.
Comput. Methods Programs Biomed., June, 2023

Improving Emotion Recognition Systems by Exploiting the Spatial Information of EEG Sensors.
IEEE Access, 2023

Using Contrastive Learning to Inject Domain-Knowledge Into Neural Networks for Recognizing Emotions.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Fine-Grained Emotion Recognition Using Brain-Heart Interplay Measurements and eXplainable Convolutional Neural Networks.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

The EXPERIENCE Project: Unveiling Extended-Personal Reality Through Automated VR Environments and Explainable Artificial Intelligence.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

2022
Automatic Feature Extraction for Bearings' Degradation Assessment using Minimally Pre-processed Time series and Multi-modal Feature Learning.
Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics, 2022

Improving an Ensemble of Neural Networks via a Novel Multi-class Decomposition Schema.
Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

2021
Technological troubleshooting based on sentence embedding with deep transformers.
J. Intell. Manuf., 2021

Recognizing motor imagery tasks from EEG oscillations through a novel ensemble-based neural network architecture.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Using an autoencoder in the design of an anomaly detector for smart manufacturing.
Pattern Recognit. Lett., 2020

2019
Assessing Refugees' Integration via Spatio-Temporal Similarities of Mobility and Calling Behaviors.
IEEE Trans. Comput. Soc. Syst., 2019

Enhancing biologically inspired swarm behavior: Metaheuristics to foster the optimization of UAVs coordination in target search.
Comput. Oper. Res., 2019

Urban Swarms: A new approach for autonomous waste management.
Proceedings of the International Conference on Robotics and Automation, 2019

Detecting Permanent and Intermittent Purchase Hotspots via Computational Stigmergy.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

Using Call Data and Stigmergic Similarity to Assess the Integration of Syrian Refugees in Turkey.
Proceedings of the Guide to Mobile Data Analytics in Refugee Scenarios, 2019

2018
A Stigmergy-Based Analysis of City Hotspots to Discover Trends and Anomalies in Urban Transportation Usage.
IEEE Trans. Intell. Transp. Syst., 2018

Sleep behavior assessment via smartwatch and stigmergic receptive fields.
Pers. Ubiquitous Comput., 2018

Design and simulation of the emergent behavior of small drones swarming for distributed target localization.
J. Comput. Sci., 2018

Swarm coordination of mini-UAVs for target search using imperfect sensors.
Intell. Decis. Technol., 2018

2017
Detecting urban road congestion via parametric adaptation of position-based stigmergy.
Intell. Decis. Technol., 2017

Stigmergy-Based Modeling to Discover Urban Activity Patterns from Positioning Data.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2017

Measuring Physical Activity of Older Adults via Smartwatch and Stigmergic Receptive Fields.
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

2016
An Adaptive Stigmergy-based System for Evaluating Technological Indicator Dynamics in the Context of Smart Specialization.
Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016


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