Antonio L. Alfeo
Orcid: 0000-0002-0928-3188
According to our database1,
Antonio L. Alfeo
authored at least 25 papers
between 2016 and 2024.
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Collaborative distances:
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Bibliography
2024
Recognizing Bearings' Degradation Stage Using Multimodal Autoencoder to Learn Features from Different Time Series.
SN Comput. Sci., April, 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
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
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
Proceedings of the International Conference on Robotics and Automation, 2019
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
Pers. Ubiquitous Comput., 2018
Design and simulation of the emergent behavior of small drones swarming for distributed target localization.
J. Comput. Sci., 2018
Intell. Decis. Technol., 2018
2017
Detecting urban road congestion via parametric adaptation of position-based stigmergy.
Intell. Decis. Technol., 2017
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