Publications

Peer-Reviewed Publications

  1. A. Prete, M. Canducci et al. Endocrine and metabolic determinants of cardiometabolic risk in mild autonomous cortisol secretion. eBioMedicine (The Lancet), Vol 124, doi: 10.1016/j.ebiom.2026.106126 (2026)
  2. R. Baier-Soto, Y.L. Jaffé, A. Finoguenov et al. incl. M. Canducci. The role of supercluster filaments in shaping galaxy clusters. Astronomy & Astrophysics, 704 A228, doi: 10.1051/0004-6361/202556957 (2025)
  3. L. Spina, M. Quandt Rodriguez, L. Magrini, L. Berni, S. Lucatello, M. Canducci. Deep chemical tagging: Identifying open clusters and moving groups in chemical space with graph attention networks. Astronomy & Astrophysics, 702 A267, doi: 10.1051/0004-6361/202555794 (2025)
  4. P. Awad, T. Li S, D. Erkal, R. F. Peletier, K. Bunte et al. incl. M. Canducci. New insights from deep spectroscopic observations of the tidal tails of the globular clusters NGC 1261 and NGC 1904. Astronomy & Astrophysics, Volume 693 (2025)
  5. A. Rabbai, J. Barba, M. Canducci, K. M. Hart, A. R. MacKenzie et al. Fertilization-induced greenhouse gas emissions partially offset carbon sequestration during afforestation. Soil Biology and Biochemistry, Volume 199, doi: 10.1016/j.soilbio.2024.109577 (2024)
  6. M. A. A Raj, P. Awad, R. F. Peletier, R. Smith, U. Kuchner, M. Canducci, P. Tiňo, K. Bunte. Large-scale structure around the Fornax-Eridanus complex. Astronomy & Astrophysics, Volume 690, doi: 10.1051/0004-6361/202450815 (2024)
  7. A. Taghribi, M. Canducci, M. Mastropietro, S. De Rijcke, R. F. Peletier, P. Tiňo, K. Bunte. More than a void? The detection and characterization of cavities in a simulated galaxy’s interstellar medium. Astronomy and Computing, Volume 51, doi: 10.1016/j.ascom.2024.100923 (2024)
  8. P. Awad, M. Canducci, E. Balbinot, A. Viswanathan, H. C. Woudenberg, R. Peletier, P. Tiňo, E. Starkenburg, R. Smith, K. Bunte. Swarming in stellar streams: Unveiling the structure of the Jhelum stream with ant colony-inspired computation. Astronomy & Astrophysics, Volume 683, doi: 10.1051/0004-6361/202347848 (2024)
  9. P. Awad, R. Peletier, M. Canducci, R. Smith, A. Taghribi, M. Mohammadi, J. Shin, P. Tiňo, K. Bunte. Swarm-intelligence-based extraction and manifold crawling along the Large-Scale Structure. Monthly Notices of the Royal Astronomical Society, Volume 520, Issue 3, pp. 4517–4539, doi: 10.1093/mnras/stad428 (2023)
  10. M. Canducci, P. Awad, A. Taghribi, M. Mohammadi, M. Mastropietro, S. De Rijcke, R. Peletier, R. Smith, K. Bunte, P. Tiňo. 1-DREAM: 1D Recovery, Extraction and Analysis of Manifolds in noisy environments. Astronomy and Computing, Volume 41, doi: 10.1016/j.ascom.2022.100658 (2022)
  11. M. Canducci, P. Tiňo, M. Mastropietro. Probabilistic modelling of general noisy multi-manifold data sets. Artificial Intelligence, Volume 302, doi: 10.1016/j.artint.2021.103579 (2022)
  12. M. Canducci, A. Taghribi, M. Mastropietro, S. de Rijcke, R. Peletier, K. Bunte, P. Tiňo. Tracking the Temporal-Evolution of Supernova Bubbles in Numerical Simulations. Intelligent Data Engineering and Automated Learning – IDEAL 2021, Lecture Notes in Computer Science vol 13113, Springer, doi: 10.1007/978-3-030-91608-4_49 (2021)

Submitted to Conferences

  • D. Barone, M. Canducci, R. Smith, P. Tiňo. Interpretable probabilistic modelling approach to correct Hubble flow around galaxy clusters. ACM KDD AI4Science Track (2026)
  • O. Alghamdi, M. Canducci, R. Smith, P. Tiňo. Iterative Probabilistic Hough Transform: Robust Discovery of Filamentary Structures in High-Noise Regimes. ACM KDD AI4Science Track (2026)

Under Review

  • H. Kim, M. Canducci, R. Smith, P. Tiňo, Y. Jaffe, H. S. Hwang, J. Shin, K. Chun. New classification method of dynamical state of galaxy clusters using Gaussian Mixture Model. A&A (2026)
  • M. Quandt-Rodriguez, S. Lucatello, L. Spina, M. Pasquato, M. Canducci. Two faces of Gaia-Sausage-Enceladus: Mining the chemical abundance space with graph attention networks. arXiv:2602.02226 (2026)
  • M. Canducci, J. Cooper, E. Hathaway, S. G. Morris, S. Haroon, R. Thayakaran, A. Acharya, F. Crowe, K. Nirantharakumar, T. Jackson, P. Tino. InciGraph: An interactive tool for exploring intersectional demographic variation in temporal, population-wide disease progression patterns. Journal of Biomedical Informatics (2026)
  • J. Norden, K. Bunte, E. Oostwal, M. Canducci, P. Tiňo. Discriminative subspace learning for model- and data-driven discovery. IEEE Transactions on Neural Networks and Learning Systems

In Preparation

  • R. Baier-Soto, R. Smith, Y. Jaffé, M. Canducci, O. Alghamdi, P. Tiňo. A novel probabilistic technique to characterize cosmic filaments around galaxy clusters.
  • A. Singh, M. Canducci et al. Quiescent galaxies beyond cosmic noon environment and filaments at 3 < z < 5 in JADES.
  • L. Abdi, M. Canducci, P. Tiňo, W. Arlt, A. Prete, M. Biehl. Probabilistic GMLVQ: Modelling Measurement Error in classification.
  • M. Canducci, P. Awad, O. Alghamdi, R. Peletier, P. Tiňo, R. Smith, K. Bunte. Detecting faint filaments of Globular Clusters via Probabilistic Hough Transform: a new Census.
  • M. Canducci, C. Sainsbury, K. Nirantharakumar, T. Jackson, P. Tiňo. Clustering drug prescription sequences for patients with diabetes via Fractal representation. Risk estimation over 2-years mortality.
  • M. Canducci, P. Tiňo, I. Mandel, S. Stevenson. Detecting prototypical binary dense objects from observation of noisy gravitational waves, through Mixture Modelling and Probabilistic Hough Transform.
  • M. Alhakbani, M. Canducci, R. Smith, R. Peletier, K. Bunte, P. Tiňo. Probabilistic model-based Hough Transform as local informant for ant-colony-inspired denoising.
  • M. Canducci, L. Abdi, A. Prete, R.J. Veen, M. Biehl, W. Arlt, P. Tiňo. Discriminative Subspace Emersion from learning feature relevances across different populations. arXiv:2504.00176

Software & Code

  • M. Canducci. Probabilistic modelling of general noisy multi-manifold data sets.
    GitHub Repository
  • M. Canducci. 1-DREAM: 1D Recovery, Extraction and Analysis of Manifolds in noisy environments.
    GitHub Repository
  • M. Canducci. Discriminative Subspace Emersion from learning feature relevances across different populations.
    GitHub Repository
  • M. Canducci. InciGraph: An interactive tool for exploring intersectional demographic variation in temporal, population-wide disease progression patterns.
    GitHub Repository