An Adaptive Stigmergy-based System for Evaluating Technological Indicator Dynamics in the Context of Smart Specialization. - Antonio L. Alfeo; Francesco Paolo Appio; Mario G. C. A. Cimino; Alessandro Lazzeri; Antonella Martini; Gigliola Vaglini (ICPRAM, 2016)

Measuring Physical Activity of Older Adults via Smartwatch and Stigmergic Receptive Fields. - Antonio L. Alfeo; Mario G. C. A. Cimino; Gigliola Vaglini (ICPRAM, 2017)

Stigmergy-Based Modeling to Discover Urban Activity Patterns from Positioning Data. - Antonio Luca Alfeo; Mario Giovanni C. A. Cimino; Sara Egidi; Bruno Lepri; Alex Pentland; Gigliola Vaglini (SBP-BRiMS, 2017)

Detecting urban road congestion via parametric adaptation of position-based stigmergy. - Antonio L. Alfeo; Mario G. C. A. Cimino; Alessandro Lazzeri; Gigliola Vaglini (Intell. Decis. Technol., 2017)

Swarm coordination of mini-UAVs for target search using imperfect sensors. - Antonio L. Alfeo; Mario G. C. A. Cimino; Nicoletta De Francesco; Alessandro Lazzeri; Massimiliano Lega; Gigliola Vaglini (Intell. Decis. Technol., 2018)

Design and simulation of the emergent behavior of small drones swarming for distributed target localization. - Antonio L. Alfeo; Mario G. C. A. Cimino; Nicoletta De Francesco; Massimiliano Lega; Gigliola Vaglini (J. Comput. Sci., 2018)

Sleep behavior assessment via smartwatch and stigmergic receptive fields. - Antonio L. Alfeo; Paolo Barsocchi; Mario G. C. A. Cimino; Davide La Rosa; Filippo Palumbo; Gigliola Vaglini (Pers. Ubiquitous Comput., 2018)

A Stigmergy-Based Analysis of City Hotspots to Discover Trends and Anomalies in Urban Transportation Usage. - Antonio Luca Alfeo; Mario G. C. A. Cimino; Sara Egidi; Bruno Lepri; Gigliola Vaglini (IEEE Trans. Intell. Transp. Syst., 2018)

Using Call Data and Stigmergic Similarity to Assess the Integration of Syrian Refugees in Turkey. - Antonio Luca Alfeo; Mario G. C. A. Cimino; Bruno Lepri; Gigliola Vaglini (Data for Refugees Challenge, 2019)

Detecting Permanent and Intermittent Purchase Hotspots via Computational Stigmergy. - Antonio L. Alfeo; Mario G. C. A. Cimino; Bruno Lepri; Alex Pentland; Gigliola Vaglini (ICPRAM, 2019)

Urban Swarms: A new approach for autonomous waste management. - Antonio Luca Alfeo; Eduardo Castelló Ferrer; Yago Lizarribar Carrillo; Arnaud Grignard; Luis Alonso Pastor; Dylan T. Sleeper; Mario G. C. A. Cimino; Bruno Lepri; Gigliola Vaglini; Kent Larson; Marco Dorigo; Alex 'Sandy' Pentland (ICRA, 2019)

Enhancing biologically inspired swarm behavior: Metaheuristics to foster the optimization of UAVs coordination in target search. - Antonio L. Alfeo; Mario G. C. A. Cimino; Gigliola Vaglini (Comput. Oper. Res., 2019)

Assessing Refugees' Integration via Spatio-Temporal Similarities of Mobility and Calling Behaviors. - Antonio Luca Alfeo; Mario G. C. A. Cimino; Bruno Lepri; Alex 'Sandy' Pentland; Gigliola Vaglini (IEEE Trans. Comput. Soc. Syst., 2019)

Using an autoencoder in the design of an anomaly detector for smart manufacturing. - Antonio L. Alfeo; Mario G. C. A. Cimino; Giuseppe Manco 001; Ettore Ritacco; Gigliola Vaglini (Pattern Recognit. Lett., 2020)

Recognizing motor imagery tasks from EEG oscillations through a novel ensemble-based neural network architecture. - Antonio L. Alfeo; Vincenzo Catrambone; Mario G. C. A. Cimino; Gigliola Vaglini; Gaetano Valenza (EMBC, 2021)

Technological troubleshooting based on sentence embedding with deep transformers. - Antonio L. Alfeo; Mario G. C. A. Cimino; Gigliola Vaglini (J. Intell. Manuf., 2021)

Improving an Ensemble of Neural Networks via a Novel Multi-class Decomposition Schema. - Antonio L. Alfeo; Mario G. C. A. Cimino; Guido Gagliardi (IJCCI, 2022)

Automatic Feature Extraction for Bearings' Degradation Assessment using Minimally Pre-processed Time series and Multi-modal Feature Learning. - Antonio L. Alfeo; Mario G. C. A. Cimino; Guido Gagliardi (IN4PL, 2022)

The EXPERIENCE Project: Unveiling Extended-Personal Reality Through Automated VR Environments and Explainable Artificial Intelligence. - Gaetano Valenza; Mariano Alcañiz; Antonio Luca Alfeo; Matteo Bianchi 002; Vladimir Carli; Vincenzo Catrambone; Mario G. C. A. Cimino; Gabriela Dudnik; Andrea Duggento; Matteo Ferrante; Claudio Gentili; Jaime Guixeres; et al. (MetroXRAINE, 2023)

Fine-Grained Emotion Recognition Using Brain-Heart Interplay Measurements and eXplainable Convolutional Neural Networks. - Guido Gagliardi; Antonio Luca Alfeo; Vincenzo Catrambone; Mario G. C. A. Cimino; Maarten De Vos; Gaetano Valenza (NER, 2023)

Matching the Expert's Knowledge via a Counterfactual-Based Feature Importance Measure. - Antonio Luca Alfeo; Mario G. C. A. Cimino; Guido Gagliardi (PKDD/ECML Workshops (3), 2023)

Using Contrastive Learning to Inject Domain-Knowledge Into Neural Networks for Recognizing Emotions. - Guido Gagliardi; Antonio Luca Alfeo; Vincenzo Catrambone; Mario G. C. A. Cimino; Maarten De Vos; Gaetano Valenza (SSCI, 2023)

Improving Emotion Recognition Systems by Exploiting the Spatial Information of EEG Sensors. - Guido Gagliardi; Antonio Luca Alfeo; Vincenzo Catrambone; Diego Candia-Rivera; Mario G. C. A. Cimino; Gaetano Valenza (IEEE Access, 2023)

From local counterfactuals to global feature importance: efficient, robust, and model-agnostic explanations for brain connectivity networks. - Antonio Luca Alfeo; Antonio G. Zippo; Vincenzo Catrambone; Mario G. C. A. Cimino; Nicola Toschi; Gaetano Valenza (Comput. Methods Programs Biomed., 2023)

Counterfactual-Based Feature Importance for Explainable Regression of Manufacturing Production Quality Measure. - Antonio L. Alfeo; Mario G. C. A. Cimino (ICPRAM, 2024)

Recognizing Bearings' Degradation Stage Using Multimodal Autoencoder to Learn Features from Different Time Series. - Antonio Luca Alfeo; Mario G. C. A. Cimino; Guido Gagliardi (SN Comput. Sci., 2024)

EEG-based motor imagery recognition via novel explainable ensemble learning architecture. - Antonio L. Alfeo; Vincenzo Catrambone; Mario G. C. A. Cimino; Gaetano Valenza (Neural Comput. Appl., 2025)