Roccetti, M., An AI for diseases or a sick AI? The epistemological pathology of big data overload and the loss of statistical significance, «FRONTIERS IN ARTIFICIAL INTELLIGENCE», 2026, 9, Article number: 1961525 , pp. 1961525 - 1961525 [Scientific article]
Roccetti, M., Before the algorithm: An exemplar case of the necessity of statistical testing for epidemiological consistency in public health data, «AIMS PUBLIC HEALTH», 2026, 13, pp. 121 - 134 [Scientific article]Open Access
Roccetti, Marco, Enhancing public health surveillance: A statistical validation of potential sampling bias in large retrospective vaccine cohorts, «AIMS PUBLIC HEALTH», 2026, 13, pp. 589 - 597 [Scientific article]Open Access
Roccetti, M., From Local Large-Scale Health Signal Inflation to Stochastic Stationarity: A Multiple-Component Risk Recalibration Framework via Intelligent Difference-in-Differences Decomposition, «COMPUTER MODELING IN ENGINEERING & SCIENCES», 2026, 147, Article number: 40 , pp. 1 - 10 [Scientific article]Open Access
Roccetti, Marco, Human-Centric Clinical AI: A Structural Data Validation Approach for Human-Reliable Medical Inference, «TRANSACTIONS ON ARTIFICIAL INTELLIGENCE», 2026, 2, pp. 204 - 213 [Scientific article]
Roccetti, M., Logical paradoxes and epidemiologic inconsistencies in vaccine-related vitiligo risk assessment, «JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY», 2026, 158, pp. 614 - 614 [Scientific article]
Roccetti, M., Quantifying Healthcare Decision Reliability with N-Size Datasets: A Demographic and Incidence Metric Approach, in: Lecture Notes in Networks and Systems, Berlin, Springer Science and Business Media Deutschland GmbH, 2026, 2074, pp. 359 - 368 (atti di: 5th International Conference on Innovations in Computing Research, ICR 2026, Berlin, Agosto 2026) [Contribution to conference proceedings]
Roccetti, Marco, Quantifying structural selection bias in observational cohort data: a ponderation analysis of age - specific incidence rates to inform vaccine safety verification, «FRONTIERS IN PHARMACOLOGY», 2026, 16, Article number: 1754809 , pp. 1 - 7 [Scientific article]Open Access
Roccetti, M.; De Rosa, E. M., Seasonal Variations and Time Trends of COVID-19 Deaths Data in Italy: September 2021 Through September 2024, with Confirmation from Recent 2025 Updates, in: Studies in Big Data, Cham, Springer Nature, 2026, pp. 64 - 78 (STUDIES IN BIG DATA) [Chapter or essay]
Roccetti, M., The Big Inference Blueprint: A Post-Big Data Epistemology for AI in Healthcare, in: Proceedings of 2026 IEEE International Symposium on World of Wireless Mobile and Multimedia Networks (WoWMoM), Los Alamitos,California, IEEE, 2026, pp. 440 - 445 (atti di: 2026 IEEE International Symposium on World of Wireless Mobile and Multimedia Networks (WoWMoM), Bologna, 16-19 June 2026) [Contribution to conference proceedings]
Roccetti, Marco, The negligible biological impact of reproductive history on aging: a high-resolution variance analysis, «FRONTIERS IN AGING», 2026, 7, Article number: 1888676 , pp. 1 - 7 [Scientific article]Open Access
Roccetti, M., Unlocking the stochastic parrot: Epistemic obligation and the decline of biological plausibility in clinical reality, «INFORMATICS IN MEDICINE UNLOCKED», 2026, 62, Article number: 101752 , pp. 1 - 6 [Scientific article]Open Access
Roccetti, M.; De Rosa, E. M., A Segmented Linear Regression Study of Seasonal Profiles of COVID-19 Deaths in Italy: September 2021–September 2024, «COMPUTATION», 2025, 13, Article number: 165 , pp. 1 - 17 [Scientific article]Open Access
Pistola, A.; Orrù, V.; Marchetti, N.; Roccetti, M., AI-ming backwards: Vanishing archaeological landscapes in Mesopotamia and automatic detection of sites on CORONA imagery, «PLOS ONE», 2025, 20, Article number: e0330419 , pp. 1 - 17 [Scientific article]Open Access
Roccetti, M.; Cacciapuoti, G., Beyond the Gold Standard: Linear Regression and Poisson GLM Yield Identical Mortality Trends and Deaths Counts for COVID-19 in Italy: 2021–2025, «COMPUTATION», 2025, 13, Article number: 233 , pp. 1 - 32 [Scientific article]Open Access
