Antonio Luca Alfeo

Peer Reviewed International Journals

  1. A. L. Alfeo, A. G. Zippo, V. Catrambone, M. G.C.A. Cimino, N. Toschi, G. Valenza. "From local counterfactuals to global feature importance: efficient, robust, and model-agnostic explanations for brain connectivity networks", Computer Methods and Programs in Biomedicine 236 (2023): 107550
  2. G. Gagliardi, A. L. Alfeo, V. Catrambone, D. Candia-Rivera, M. G.C.A. Cimino, G. Valenza. "Improving emotion recognition systems by exploiting the spatial information of EEG sensors", IEEE Access (2023): 1-1
  3. A. L. Alfeo, M. G. C. A. Cimino, and G. Gagliardi, “Concept-wise granular computing for explainable artificial intelligence”, Granular Computing, 2022
  4. A. L. Alfeo, M. G. C. A. Cimino, and G. Vaglini, “Technological troubleshooting based on sentence embedding with deep transformers”, Journal of Intelligent Manufacturing, 2021, DOI: https://doi.org/10.1007/s10845-021-01797-w
  5. A. L. Alfeo, M. G. C. A. Cimino, and G. Vaglini, “Degradation stage classification via interpretable feature learning”, Journal of Manufacturing Systems, 2021,ISSN 0278-6125, DOI: https://doi.org/10.1016/j.jmsy.2021.05.003.
  6. A. L. Alfeo, M. G. C. A. Cimino, G. Manco, E. Ritacco, G. Vaglini, “Using an autoencoder in the design of an anomaly detector for smart manufacturing”, Pattern Recognition Letters, Volume 136, 2020, Pages 272-278, ISSN 0167-8655, DOI: https://doi.org/10.1016/j.patrec.2020.06.008
  7. A. L. Alfeo, M. G. C. A. Cimino, and G. Vaglini, “Enhancing biologically inspired swarm behavior: metaheuristics to foster the optimization of UAVs coordination in target search”, Computers & Operations Research, n. 110, pp. 34-47 (2019), doi:10.1016/j.cor.2019.05.021
  8. A. L. Alfeo, M. G. C. A. Cimino, B. Lepri, A. Pentland, and G. Vaglini, “Assessing Refugees’ Integration via Spatio-temporal Similarities of Mobility and Calling Behaviors”, IEEE Transactions on Computational Social Systems,(2019), doi: 10.1109/TCSS.2019.2923216
  9. A.L. Alfeo, M.G.C.A. Cimino, N. De Francesco, M. Lega, G. Vaglini, “Design and simulation of the emergent behavior of small drones swarming for distributed target localization”, Journal of Computational Science, Elsevier Science, Vol. 29, Pages 19-33, 2018, (ISSN 1877-7503)
  10. A.L. Alfeo, M.G.C.A. Cimino, S.Egidi, B.Lepri, G. Vaglini, “A stigmergy-based analysis of city hotspots to discover trends and anomalies in urban transportation usage”, IEEE Transactions on Intelligent Transportation Systems, IEEE, Vol. 19, Issue 7, Pages 2258-2267, 2018, (ISSN 1524-9050)
  11. A.L. Alfeo, M.G.C.A. Cimino, N. De Francesco, A. Lazzeri, M. Lega, G. Vaglini, “Swarm coordination of mini-UAVs for target search using imperfect sensors”, Intelligent Decision Technologies, IOS Press, Vol. 12, Issue 2, Pages 149-162, 2018, (ISSN 1872-4981)
  12. A.L. Alfeo, M.G.C.A. Cimino, A. Lazzeri, G. Vaglini, “Detecting urban road congestion via parametric adaptation of position-based stigmergy”, Intelligent Decision Technologies, IOS Press, Vol. 11, Issue 4, Pages 465-475, 2017, (ISSN 1872-4981)
  13. A.L. Alfeo, P. Barsocchi, M.G.C.A. Cimino, D. La Rosa, F. Palumbo, G. Vaglini, “Sleep behavior assessment via smartwatch and stigmergic receptive fields”, Personal and Ubiquitous Computing, Springer, Vol. 22, Issue 2, Pages 227-243, 2017, (ISSN 1617-4909)

Peer Reviewed International Conferences

  1. G. Gagliardi, A. L. Alfeo, V. Catrambone, M.G.C.A. Cimino, M. De Vos, and G. Valenza. “Fine-grained Emotion Recognition using Brain-Heart Interplay measurements and eXplainable Convolutional Neural Networks”, the 11th International IEEE EMBS Conference on Neural Engineering, April 25 - April 27, 2023. Baltimore, MD, USA.
  2. A. L. Alfeo, M. G.C.A. Cimino, G. Gagliardi. “Improving an Ensemble of Neural Networks via a Novel Multi-class Decomposition Schema”, ICETE International Conference on E-Business and Telecommunication Networks (International Joint Conference on Computational Intelligence), 2022, 2022-October, pp. 389–395.
  3. A. L. Alfeo, M. G. C. A. Cimino, and G. Gagliardi. “Automatic Feature Extraction for Bearings' Degradation Assessment using Minimally Pre-processed Time series and Multi-modal Feature Learning”, IN4PL 2022 - Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics, 2022, pp. 94–103.
  4. A. L. Alfeo, V. Catrambone, M. G.C.A. Cimino, G. Vaglini, G. Valenza. “Recognizing motor imagery tasks from EEG oscillations through a novel ensemble-based neural network architecture”, the 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, November 1 – November 5, 2021.
  5. A. L. Alfeo, E. Castello Ferrer, Y. Lizarribar Carrillo, A. Grignard, L. Alonso Pastor, M. G. C. A. Cimino, B. Lepri, G. Vaglini, K. Larson, M. Dorigo, A. Pentland. “Urban Swarms: A new approach for autonomous waste management”,the International Conference on Robotics and Automation (IEEE, ICRA), May 20-24, 2019 in Montreal, Canada.
  6. A. L. Alfeo, M.G.C.A. Cimino, B. Lepri,.A. Pentland, G. Vaglini, “Detecting Permanent and Intermittent Purchase Hotspots via Computational Stigmergy”, the ICPRAM The 8th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2019), Vol -, pp. 1-8, Prague, Czech Republic, 19-21 February, 2019.
  7. A. L. Alfeo, M. G. C. A. Cimino, S. Egidi, B. Lepri, A. Pentland, and G. Vaglini, “Stigmergy-based modeling to discover urban activity patterns from positioning data”, the Social, Cultural, and Behavioral Modeling: 10th International Conference, (SBP-BRiMS 2017), vol. 10354, p.p. 292-302. Springer. Washington, DC, USA, July 5-8, 2017.
  8. A. L. Alfeo, M. G. C. A. Cimino, S. Egidi, B. Lepri, and G. Vaglini, “An emergent strategy for characterizing urban hotspot dynamics via GPS data”, the 5th Conference on scientific analysis of mobile phone datasets”, organized by F. Calabrese, E. Moro, V. Blondlel, A. Pentland. (NetMob 2017) 5-7 April 2017, Milan, Italy.
  9. A. L. Alfeo, M.G.C.A. Cimino, and G. Vaglini, “Measuring Physical Activity of Older Adults via Smartwatch and Stigmergic Receptive Fields”, INSTICC the 6th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2017), pp. 724-730, Porto, Portugal, 24-26 February 2017.
  10. A. L. Alfeo, F. Appio, M.G.C.A. Cimino, A. Lazzeri, A. Martini, and G. Vaglini. “An adaptive stigmergy-based system for evaluating technological indicator dynamics in the context of smart specialization”, INSTICC The 5th International Conference on Pattern Recognition Applications and Methods”, (ICPRAM 2016), pp. 497-502, Rome, Italy, Springer.

Book chapters

  1. A. L. Alfeo, M. G. C. A. Cimino, B. Lepri, G. Vaglini. “Using Call Data and Stigmergic Similarity to Assess the Integration of Syrian Refugees in Turkey”, in “Guide to Mobile Data Analytics in Refugee Scenarios”, 164-178 (2019), doi: 10.1007/978-3-030-12554-7, edited by Salah A.A., Pentland A., Lepri B., Letouzé E.

Workshops and Others

  1. A. L. Alfeo, M. G. C. A. Cimino, B. Lepri, G. Vaglini. “Mobility and Calling Behavior to Unfold the Integration of Syrian Refugees in Turkey”, international workshop “Data for Refugees: The D4R Challenge on Mobility of Syrian Refugees in Turkey” organized by Turkish Academic and Research Council and Boğaziçi University, in collaboration with UNHCR Turkey, UNICEF, International Organization for Migration and more, Istanbul 21 January, 2019.
  2. A. L. Alfeo, Mario G.C.A. Cimino, Manilo Monaco and Gigliola Vaglini. “Enhancing the biologically inspired coordination of a swarm of UAVs in autonomous target search”, I-Cities 2018, 4th Italian Conference on ICT for Smart Cities And Communities, 19-21 September 2018, L’Aquila, Italy.
  3. A. L. Alfeo, Mario G.C.A. Cimino and Gigliola Vaglini. “Using computational stigmergy and differential evolution to find purchase hotspots from spatio-temporal credit card transactions”, I-Cities 2019, 5th Italian Conference on ICT for Smart Cities And Communities, 18-20 September 2019, Pisa, Italy.

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