RB
R. Bellotti
astro-ph.HEmachine learningAlgorithmsArtificial IntelligenceMRIphysics.space-phastro-ph.IMastro-ph.SRphysics.data-anAlzheimer's disease
On Valency
published · living versionsW_dexaqp79·v2 · currentpublished
PBR sensitivity to boosted dark matter explanation for the KM3-230213A event
with M. H. Reno, T. Venters, M. Abrate, J. Adams +116
2 versions
Preprints & journals
252 papers in the corpus · 1949–2026Language of Toxicity: An eXplainable Artificial Intelligence Approach.42912942 · Amoroso, Nicola, Pantaleo, Ester, Ciriaco, Fulvio et al.2026 · 0 citationsJournal of chemical information and modeling. 2026;66(19):12282-12290
Data geometry preserves prediction but reshapes explanation2610.08377v1 · Nicola Amoroso, Mario Caruso, Marianna La Rocca et al.2026 · 0 citationsarXiv
Topological Uncertainty and Higher-Order Interactions in Spatial Networks2609.18439v1 · Domenico Pomarico, Alessandro Fania, Gabriel Ramirez Sanchez et al.2026 · 0 citationsarXiv
Tensor Network Machine Learning for Wildfire Susceptibility Mapping: from Grokking Dynamics to Quantum Mixedness of Class Representations2607.19503v1 · Domenico Pomarico, Alessandra Costantino, Gabriel Ramirez Sanchez et al.2026 · 0 citationsarXiv
Enhancing breath-based diagnostics through eXplainable Artificial Intelligence.42361031 · Lo Sasso, Andrea, Amoroso, Nicola, Diacono, Domenico et al.2026 · 0 citationsPloS one. 2026;21(6):e0351833
A Tensor Network Framework for Interpretable Graph Analysis of Brain Networks2608.21368v1 · Domenico Pomarico, Giuseppe Magnifico, Alessandro Grecucci et al.2026 · 0 citationsarXiv
A Brain Connectivity Approach to Detect Diffusion-Weighted Imaging Changes in Post-Traumatic Epilepsy.42351842 · Amato, Emanuele C, Giliberti, Claudia, Amoroso, Nicola et al.2026 · 0 citationsBioengineering (Basel, Switzerland). 2026;13(6)
Explainable AI-Based Hyperspectral Classification Reveals Differences in Spectral Response over Phenological Stages.41892214 · Ahsen, Rameez, Di Bitonto, Pierpaolo, Novielli, Pierfrancesco et al.2026 · 1 citationBiology. 2026;15(6)
Exponential random graph-based eXplainable Artificial Intelligence for Alzheimer disease.41715836 · Amoroso, Nicola, Pantaleo, Ester, La Rocca, Marianna et al.2026 · 0 citationsPhysical review. E. 2026;113(1-1):014401
Increased integration and synergy in EEG- and fNIRS-based data in migraine patients after a three-month treatment with galcanezumab: relations with long-term clinical outcome.41372331 · La Rocca, Marianna, Lacalamita, Antonio, Clemente, Livio et al.2026 · 1 citationScientific reports. 2025;16(1):754
From networks of data to networks of care in clinical medicine: this is not artificial intelligence.41290506 · Novielli, Pierfrancesco, Bellotti, Roberto, Khalil, Mohamad et al.2026 · 3 citationsEuropean journal of internal medicine. 2026;145:106613
Standardized Incidence Ratio dataset of Human West Nile Virus in Italy (2012-2024).41285906 · Fania, Alessandro, Capozza, Paolo, Cazzolla Gatti, Roberto et al.2025 · 2 citationsScientific data. 2025;12(1):1861
Unlocking extra virgin olive oil identification: predicting ethyl esters with explainable AI on IR spectra.41274048 · Magarelli, Michele, Grassi, Silvia, Squeo, Giacomo et al.2025 · 3 citationsFood chemistry. 2026;498(Pt 1):147013
Unveiling complex patterns: An information-theoretic approach to high-order behaviors in microarray data.41231825 · Lacalamita, Antonio, Monaco, Alfonso, Serino, Grazia et al.2025 · 1 citationPloS one. 2025;20(11):e0336379
Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research.41205590 · Golob, Jonathan L, Oskotsky, Tomiko T, Tang, Alice S et al.2026 · 0 citationsCell reports. Medicine. 2025;6(12):102428
A joint complex network and machine learning approach for the identification of discriminative gene communities in autistic brain.41191625 · Lacalamita, Antonio, Pantaleo, Ester, Monaco, Alfonso et al.2025 · 2 citationsPloS one. 2025;20(11):e0334181
Data-driven assessment of Apulian road network resilience: Bridge unavailability and inner municipality isolation impact.41071824 · Kheirkhahan, Niloofar, Bellantuono, Loredana, Amoroso, Nicola et al.2025 · 4 citationsPloS one. 2025;20(10):e0333308
Personalized colorectal cancer risk assessment through explainable AI and Gut microbiome profiling.40760681 · Novielli, Pierfrancesco, Baldi, Simone, Romano, Donato et al.2025 · 31 citationsGut microbes. 2025;17(1):2543124
Transfer entropy and O-information to detect grokking in tensor network multi-class classification problems2507.23346v1 · Domenico Pomarico, Roberto Cilli, Alfonso Monaco et al.2025 · 0 citationsTechnologies 2025, 13(10), 438
Cooperative effects in feature importance of individual patterns: application to air pollutants and Alzheimer disease2508.00930v1 · M. Ontivero-Ortega, A. Fania, A. Lacalamita et al.2025 · 0 citationsarXiv
Analyzing the accessibility of Rome's healthcare services via public transportation: a complex network approach.40594384 · Bellantuono, Loredana, Bellotti, Roberto, Bergantino, Angela Stefania et al.2025 · 10 citationsScientific reports. 2025;15(1):22880
Network assortativity for a multidimensional evaluation of socio-economic territorial biases in university rankings.40493645 · Bellantuono, Loredana, Lo Sasso, Andrea, Amoroso, Nicola et al.2025 · 2 citationsPloS one. 2025;20(6):e0323356
The Extreme Universe Observatory on a Super-Pressure Balloon II: Mission, Payload, and Flight2505.20762v1 · James.H. Adams Jr., Denis Allard, Phillip Alldredge et al.2025 · 1 citationarXiv
Leveraging explainable AI to predict soil respiration sensitivity and its drivers for climate change mitigation.40216855 · Novielli, Pierfrancesco, Magarelli, Michele, Romano, Donato et al.2025 · 18 citationsScientific reports. 2025;15(1):12527
Grokking as an entanglement transition in tensor network machine learning2503.10483v1 · Domenico Pomarico, Alfonso Monaco, Giuseppe Magnifico et al.2025 · 0 citationsarXiv
Chemical Space Networks Enhance Toxicity Recognition via Graph Embedding.39914823 · Mastrolorito, F, Gambacorta, N, Ciriaco, F et al.2025 · 6 citationsJournal of chemical information and modeling. 2025;65(4):1850-1861
Measuring water pollution effects on antimicrobial resistance through explainable artificial intelligence.39788180 · Monaco, Alfonso, Caruso, Mario, Bellantuono, Loredana et al.2025 · 6 citationsEnvironmental pollution (Barking, Essex : 1987). 2025;367:125620
Explainable artificial intelligence for genotype-to-phenotype prediction in plant breeding: a case study with a dataset from an almond germplasm collection.39319003 · Novielli, Pierfrancesco, Romano, Donato, Pavan, Stefano et al.2024 · 35 citationsFrontiers in plant science. 2024;15:1434229
Imitating the respiratory activity of the brain stem by using artificial neural networks: exploratory study on an animal model of lactic acidosis and proof of concept.39162839 · Perchiazzi, Gaetano, Kawati, Rafael, Pellegrini, Mariangela et al.2024 · 5 citationsJournal of clinical monitoring and computing. 2024;38(6):1269-1280
Personalized identification of autism-related bacteria in the gut microbiome using explainable artificial intelligence.39286497 · Novielli, Pierfrancesco, Romano, Donato, Magarelli, Michele et al.2024 · 20 citationsiScience. 2024;27(9):110709
Explainable artificial intelligence and microbiome data for food geographical origin: the Mozzarella di Bufala Campana PDO Case of Study.38887708 · Magarelli, Michele, Novielli, Pierfrancesco, De Filippis, Francesca et al.2024 · 15 citationsFrontiers in microbiology. 2024;15:1393243
Air pollution and mortality for cancer of the respiratory system in Italy: an explainable artificial intelligence approach.38774048 · Romano, Donato, Novielli, Pierfrancesco, Cilli, Roberto et al.2024 · 5 citationsFrontiers in public health. 2024;12:1344865
Insights from Explainable Artificial Intelligence of Pollution and Socioeconomic Influences for Respiratory Cancer Mortality in Italy.38673057 · Romano, Donato, Novielli, Pierfrancesco, Diacono, Domenico et al.2024 · 8 citationsJournal of personalized medicine. 2024;14(4)
Machine learning and XAI approaches highlight the strong connection between O 3 and N O 2 pollutants and Alzheimer's disease.38443419 · Fania, Alessandro, Monaco, Alfonso, Amoroso, Nicola et al.2024 · 18 citationsScientific reports. 2024;14(1):5385
Explainable artificial intelligence for microbiome data analysis in colorectal cancer biomarker identification.38426064 · Novielli, Pierfrancesco, Romano, Donato, Magarelli, Michele et al.2024 · 85 citationsFrontiers in microbiology. 2024;15:1348974
Unraveling the microbiome-metabolome nexus: a comprehensive study protocol for personalized management of Behçet's disease using explainable artificial intelligence.38410386 · Tangaro, Sabina, Lopalco, Giuseppe, Sabella, Daniele et al.2024 · 7 citationsFrontiers in microbiology. 2024;15:1341152
EUSO-SPB1 Mission and Science2401.06525v1 · G. Abdellaoui, S. Abe, J. H. Adams. Jr. et al.2024 · 32 citationsAstropart Phys 154 (2024) 102891
JEM-EUSO Collaboration contributions to the 38th International Cosmic Ray Conference2312.08204v2 · S. Abe, J.H. Adams Jr., D. Allard et al.2023 · 0 citationsarXiv
Developments and results in the context of the JEM-EUSO program obtained with the ESAF Simulation and Analysis Framework2311.12656v1 · S. Abe, J. H. Adams Jr., D. Allard et al.2023 · 11 citationsEur. Phys. J. C 83, 1028 (2023)
Deep learning approach for denoising low-SNR correlation plenoptic images.37950034 · Scattarella, Francesco, Diacono, Domenico, Monaco, Alfonso et al.2026 · 12 citationsScientific reports. 2023;13(1):19645
Artificial Intelligence and Complex Network Approaches Reveal Potential Gene Biomarkers for Hepatocellular Carcinoma.37894965 · Lacalamita, Antonio, Serino, Grazia, Pantaleo, Ester et al.2023 · 17 citationsInternational journal of molecular sciences. 2023;24(20)
An eXplainable Artificial Intelligence analysis of Raman spectra for thyroid cancer diagnosis.37789191 · Bellantuono, Loredana, Tommasi, Raffaele, Pantaleo, Ester et al.2023 · 41 citationsScientific reports. 2023;13(1):16590
An eXplainability Artificial Intelligence approach to brain connectivity in Alzheimer's disease.37719873 · Amoroso, Nicola, Quarto, Silvano, La Rocca, Marianna et al.2024 · 30 citationsFrontiers in aging neuroscience. 2023;15:1238065
A Dementia mortality rates dataset in Italy (2012-2019).37626087 · Fania, Alessandro, Monaco, Alfonso, Amoroso, Nicola et al.2023 · 13 citationsScientific data. 2023;10(1):564
Microbiome Preterm Birth DREAM Challenge: Crowdsourcing Machine Learning Approaches to Advance Preterm Birth Research.36945505 · Golob, Jonathan L, Oskotsky, Tomiko T, Tang, Alice S et al.2024 · 48 citationsmedRxiv : the preprint server for health sciences. 2023
Functional connectivity alterations in traumatic brain injury patients with late seizures.36871641 · La Rocca, Marianna, Barisano, Giuseppe, Garner, Rachael et al.2023 · 14 citationsNeurobiology of disease. 2023;179:106053
Haemorrhage and Survival Times: Medical-Legal Evaluation of the Time of Death and Relative Evidence.36832220 · Marrone, Maricla, Bellantuono, Loredana, Stellacci, Alessandra et al.2023 · 2 citationsDiagnostics (Basel, Switzerland). 2023;13(4)
Analyzing breast cancer invasive disease event classification through explainable artificial intelligence.36817766 · Massafra, Raffaella, Fanizzi, Annarita, Amoroso, Nicola et al.2025 · 32 citationsFrontiers in medicine. 2023;10:1116354
Detecting the socio-economic drivers of confidence in government with eXplainable Artificial Intelligence.36646810 · Bellantuono, Loredana, Palmisano, Flaviana, Amoroso, Nicola et al.2023 · 19 citationsScientific reports. 2023;13(1):839
TIRESIA: An eXplainable Artificial Intelligence Platform for Predicting Developmental Toxicity.36520016 · Togo, Maria Vittoria, Mastrolorito, Fabrizio, Ciriaco, Fulvio et al.2023 · 52 citationsJournal of chemical information and modeling. 2023;63(1):56-66
Career total: 838 works. 252 are in this corpus.Showing the 50 most recent.
Profile built from the corpus for this byline.
Author records are still filling in while the Hub is in alpha. If this is your page, you'll be able to claim it soon. Spot a mistake? Tell us.