Fondazione DARE

Bibliografia

In questa sezione puoi consultare le pubblicazioni finanziate dal progetto DARE. 

Borra, D., Magosso, E., & Ravanelli, M. (2025). A protocol for trustworthy EEG decoding with neural networks. Neural Networks, 182. Scopus. https://doi.org/10.1016/j.neunet.2024.106847
Marchianò, V., Tricase, A., Cimino, A., Cassano, B., Catacchio, M., Macchia, E., Torsi, L., & Bollella, P. (2025). Inside out: Exploring edible biocatalytic biosensors for health monitoring. Bioelectrochemistry, 161. Scopus. https://doi.org/10.1016/j.bioelechem.2024.108830
D’Amore, S., Poole, K. E., Ramaswami, U., Hughes, D., Page, K., Solimando, A. G., Vacca, A., Cox, T. M., & Deegan, P. (2024). Changes in Angiogenesis and Bone Turnover Markers in Patients with Gaucher Disease Developing Osteonecrosis. Metabolites, 14(11), 601. https://doi.org/10.3390/metabo14110601
Di Chiano, M., Rocchetti, M. T., Spano, G., Russo, P., Allegretta, C., Milior, G., Gadaleta, R. M., Sallustio, F., Pontrelli, P., Gesualdo, L., Avolio, C., Fiocco, D., & Gallone, A. (2024). Lactobacilli Cell-Free Supernatants Modulate Inflammation and Oxidative Stress in Human Microglia via NRF2-SOD1 Signaling. Cellular and Molecular Neurobiology, 44(1), 60. https://doi.org/10.1007/s10571-024-01494-1
Dentamaro, V., Impedovo, D., Musti, L., Pirlo, G., & Taurisano, P. (2024). Enhancing early Parkinson’s disease detection through multimodal deep learning and explainable AI: insights from the PPMI database. Scientific Reports, 14(1), 20941. https://doi.org/10.1038/s41598-024-70165-4
Falvino, A., Gasperini, B., Cariati, I., Bonanni, R., Chiavoghilefu, A., Gasbarra, E., Botta, A., Tancredi, V., & Tarantino, U. (2024). Cellular Senescence: The Driving Force of Musculoskeletal Diseases. Biomedicines, 12(9), 1948. https://doi.org/10.3390/biomedicines12091948
Simionato, D., Collesei, A., Miglietta, F., & Vandin, F. (2024). ALLSTAR : inference of reliAble causaL ruLes between Somatic muTAtions and canceR phenotypes. Bioinformatics, 40(7), btae449. https://doi.org/10.1093/bioinformatics/btae449
Amato, D., Calderaro, S., Lo Bosco, G., Rizzo, R., & Vella, F. (2024). Explainable Histopathology Image Classification with Self-organizing Maps: A Granular Computing Perspective. Cognitive Computation. https://doi.org/10.1007/s12559-024-10312-1
Cantarutti, A., Rescigno, P., Da Borso, C., Gutierrez De Rubalcava Doblas, J., Bressan, S., Barbieri, E., Giaquinto, C., & Canova, C. (2024). Association Between Early-Life Exposure to Antibiotics and Development of Child Obesity: Population-Based Study in Italy. JMIR Public Health and Surveillance, 10, e51734. https://doi.org/10.2196/51734
Basile, A., Calefato, F., Lanubile, Filippo, Mallardi, G., & Quaranta, L. (2024, May 29). An MLOps Solution Framework for Transitioning Machine Learning Models into eHealth Systems. Ital-IA 2024: 4th National Conference on Artificial Intelligencee, organized by CINI, Napoli, Italia. https://ceur-ws.org/Vol-3762/524.pdf
Calefato, F., Quaranta, L., & Lanubile, F. (2024). A Lot of Talk and a Badge: An Exploratory Analysis of Personal Achievements in GitHub. Information and Software Technology, 176, 107561. https://doi.org/10.1016/j.infsof.2024.107561
Orlando, S., Cicala, M., DeSanto, C., Mosconi, C., Ciccacci, F., Guarente, L., Carestia, M., Liotta, G., Di Giovanni, D., Buonomo, E., Riccardi, F., Palombi, L., & Emberti Gialloreti, L. (2024). The financial burden of healthcare- associated infections: A propensity score analysis in an Italian healthcare setting. Infection Prevention in Practice, 100406. https://doi.org/10.1016/j.infpip.2024.100406
Caracausi, M., Ramacieri, G., Catapano, F., Cicilloni, M., Lajin, B., Pelleri, M. C., Piovesan, A., Vitale, L., Locatelli, C., Pirazzoli, G. L., Strippoli, P., Antonaros, F., & Vione, B. (2024). The functional roles of S‐adenosyl‐methionine and S‐adenosyl‐homocysteine and their involvement in trisomy 21. BioFactors, 50(4), 709–724. https://doi.org/10.1002/biof.2044
Hoang, M. L., Matrella, G., & Ciampolini, P. (2024). Artificial Intelligence Implementation in Internet of Things Embedded System for Real-Time Person Presence in Bed Detection and Sleep Behaviour Monitor. Electronics (Switzerland), 13(11). Scopus. https://doi.org/10.3390/electronics13112210
Agostini, F., Casale, A., Gasparetto, J., Giacomini, F., Marcato, D., Miccoli, R., Vianello, E., & Zotti, S. (2024). INDIGO IAM migration to Spring Authorization Server framework with a new customizable React user dashboard. 458. Scopus. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208618416&partnerID=40&md5=ab3ead40ab72405a5886f084f8db996b
Iovino, M., Lazic, I., Loncar-Turukalo, T., Javorka, M., Pernice, R., & Faes, L. (2024). Comparison of automatic and physiologically-based feature selection methods for classifying physiological stress using heart rate and pulse rate variability indices. Physiological Measurement, 45(11). Scopus. https://doi.org/10.1088/1361-6579/ad9234
Borra, D., & Ravanelli, M. (2024). Explaining Network Decision Provides Insights on the Causal Interaction Between Brain Regions in a Motor Imagery Task. 15154 LNAI, 156–167. Scopus. https://doi.org/10.1007/978-3-031-71602-7_14
Borra, D., Diciotti, S., & Magosso, E. (2024). EEG Features Learned by Convolutional Neural Networks Reflect Alterations of Social Stimuli Processing in Autism. 15019 LNCS, 124–136. Scopus. https://doi.org/10.1007/978-3-031-72341-4_9
Gasparetto, J., Magenta, L., Sinisi, F., Zotti, S., Costantini, A., Martelli, B., Giangregorio, T., & Pippucci, T. (2024). Computational Genomics platform: a Cloud-enabled approach. 458. Scopus. https://doi.org/10.22323/1.458.0042
Sinisi, F., Alkhansa, A., Michelotto, D., & Costantini, A. (2024). HA Kubernetes cluster using Octavia Ingress Controller. 458. Scopus. https://doi.org/10.22323/1.458.0028
Caputo, M., Tricase, A., Marchianò, V., Scandurra, C., Piscitelli, M., Sarcina, L., Catacchio, M., Di Franco, C., Bollella, P., Torsi, L., & Macchia, E. (2024). Perspectives on systematic optimization of ultrasensitive biosensors through experimental design. Journal of Materials Chemistry C, 12(38), 15382–15400. https://doi.org/10.1039/D4TC02131B
Bernardini, S., Onnivello, S., & Lanfranchi, S. (2024). Italian normative data for the Unhelpful Thoughts and Beliefs about Stuttering (UTBAS) Scales for adults who stutter. Journal of Fluency Disorders, 81. Scopus. https://doi.org/10.1016/j.jfludis.2024.106074
Barà, C., Pernice, R., Catania, C. A., Hilal, M., Porta, A., Humeau-Heurtier, A., & Faes, L. (2024). Comparison of entropy rate measures for the evaluation of time series complexity: Simulations and application to heart rate and respiratory variability. Biocybernetics and Biomedical Engineering, 44(2), 380–392. Scopus. https://doi.org/10.1016/j.bbe.2024.04.004
Carbonaro, A., Marfoglia, A., Nardini, F., & Mellone, S. (2024). Corrigendum: CONNECTED: leveraging digital twins and personal knowledge graphs in healthcare digitalization(Front. Digit. Health, (2023), 5, (1322428), 10.3389/fdgth.2023.1322428). Frontiers in Digital Health, 6. Scopus. https://doi.org/10.3389/fdgth.2024.1416390
Kumar, B., Lorusso, E., Fosso, B., & Pesole, G. (2024). A comprehensive overview of microbiome data in the light of machine learning applications: categorization, accessibility, and future directions. Frontiers in Microbiology, 15. Scopus. https://doi.org/10.3389/fmicb.2024.1343572
Maccioni, L., Michelle, C. M., Brusaferri, L., Silvestri, E., Bertoldo, A., Schubert, J. J., Nettis, M. A., Mondelli, V., Howes, O., Turkheimer, F. E., Bottlaender, M., Bodini, B., Stankoff, B., Loggia, M. L., & Veronese, M. (2024). A blood-free modeling approach for the quantification of the blood-to-brain tracer exchange in TSPO PET imaging. Frontiers in Neuroscience, 18. Scopus. https://doi.org/10.3389/fnins.2024.1395769
D’Ascanio, I., Giannini, G., Baldelli, L., Cani, I., Giannoni, A., Leogrande, G., Lopane, G., Calandra-Buonaura, G., Cortelli, P., Chiari, L., & Palmerini, L. (2024). A method for the synchronization of inertial sensor signals and local field potentials from deep brain stimulation systems. Biomedical Physics and Engineering Express, 10(5). Scopus. https://doi.org/10.1088/2057-1976/ad5e83
Prinzi, F., Orlando, A., Gaglio, S., & Vitabile, S. (2024). Breast cancer classification through multivariate radiomic time series analysis in DCE-MRI sequences. Expert Systems with Applications, 249. Scopus. https://doi.org/10.1016/j.eswa.2024.123557
Chumin, E. J., Burton, C. P., Silvola, R., Miner, E. W., Persohn, S. C., Veronese, M., & Territo, P. R. (2024). Brain metabolic network covariance and aging in a mouse model of Alzheimer’s disease. Alzheimer’s and Dementia, 20(3), 1538–1549. Scopus. https://doi.org/10.1002/alz.13538
Cotugno, N., Neri, A., Sanna, M., Santilli, V., Manno, E. C., Pascucci, G. R., Morrocchi, E., Amodio, D., Ruggiero, A., degl Atti, M. L. C., Barneschi, I., Grappi, S., Cocchi, I., Giacomet, V., Trabattoni, D., Olivieri, G., Bernardi, S., O’Connor, D., Montomoli, E., … Palma, P. (2024). Children with perinatally acquired HIV exhibit distinct immune responses to 4CMenB vaccine. JCI Insight, 9(10). Scopus. https://doi.org/10.1172/jci.insight.177182
Desantis, V., Borrelli, P., Panebianco, T., Fusillo, A., Bochicchio, D., Solito, A., Pappagallo, F., Mascolo, A., Ancona, A., Cicco, S., Cerchione, C., Romano, A., Montagnani, M., Ria, R., Vacca, A., & Solimando, A. G. (2024). Comprehensive analysis of clinical outcomes, infectious complications and microbiological data in newly diagnosed multiple myeloma patients: a retrospective observational study of 92 subjects. Clinical and Experimental Medicine, 24(1). Scopus. https://doi.org/10.1007/s10238-024-01411-2
Hoang, M. L., Matrella, G., & Ciampolini, P. (2024). Comparison of Machine Learning Algorithms for Heartbeat Detection Based on Accelerometric Signals Produced by a Smart Bed. Sensors, 24(6). Scopus. https://doi.org/10.3390/s24061900
Onnivello, S., Locatelli, C., Pulina, F., Ramacieri, G., Marcolin, C., Antonaros, F., Vione, B., Catapano, F., & Lanfranchi, S. (2024). Cross-sectional developmental trajectories in the adaptive functioning of children and adolescents with Down syndrome. Research in Developmental Disabilities, 144. Scopus. https://doi.org/10.1016/j.ridd.2023.104641
Piccinini, F., Tazzari, M., Tumedei, M. M., Stellato, M., Remondini, D., Giampieri, E., Martinelli, G., Castellani, G., & Carbonaro, A. (2024). Data Science for Health Image Alignment: A User-Friendly Open-Source ImageJ/Fiji Plugin for Aligning Multimodality/Immunohistochemistry/Immunofluorescence 2D Microscopy Images. Sensors, 24(2). Scopus. https://doi.org/10.3390/s24020451
Mazzola, S., Vittorietti, M., Fruscione, S., De Bella, D. D., Savatteri, A., Belluzzo, M., Ginevra, D., Gioia, A., Costanza, D., Castellone, M. D., Costantino, C., Zarcone, M., Ravazzolo, B., Graziano, G., Mannino, R., Amodio, R., Di Marco, V., Vitale, F., & Mazzucco, W. (2024). Factors Associated with Primary Liver Cancer Survival in a Southern Italian Setting in a Changing Epidemiological Scenario. Cancers, 16(11). Scopus. https://doi.org/10.3390/cancers16112046
Colavito, G., Lanubile, F., Novielli, N., & Quaranta, L. (2024). Impact of data quality for automatic issue classification using pre-trained language models. Journal of Systems and Software, 210. Scopus. https://doi.org/10.1016/j.jss.2023.111838
Colavito, G., Lanubile, F., Novielli, N., & Quaranta, L. (2024). Leveraging GPT-like LLMs to Automate Issue Labeling. Proc. - IEEE/ACM Int. Conf. Min. Softw. Repos., MSR, 469–480. Scopus. https://doi.org/10.1145/3643991.3644903
Macchia, E., Björkström, K., Tewari, A., Eskonen, V., Luukkonen, A., Ghafari, A. M., Sarcina, L., Caputo, M., Tong-Ochoa, N., Kopra, K., Pettersson, F., Gounani, Z., Torsi, L., Härmä, H., & Österbacka, R. (2024). Label-free electronic detection of peptide post-translational modification with functional enzyme-driven assay at the physical limit. Cell Reports Physical Science. Scopus. https://doi.org/10.1016/j.xcrp.2024.101874
Lawn, T., Giacomel, A., Martins, D., Veronese, M., Howard, M., Turkheimer, F. E., & Dipasquale, O. (2024). Normative modelling of molecular-based functional circuits captures clinical heterogeneity transdiagnostically in psychiatric patients. Communications Biology, 7(1). Scopus. https://doi.org/10.1038/s42003-024-06391-3
Orefice, C., Cardillo, R., Lonciari, I., Zoccante, L., & Mammarella, I. C. (2024). “Picture this from there”: spatial perspective-taking in developmental visuospatial disorder and developmental coordination disorder. Frontiers in Psychology, 15. Scopus. https://doi.org/10.3389/fpsyg.2024.1349851
Macchia, E., Torricelli, F., Caputo, M., Sarcina, L., Scandurra, C., Bollella, P., Catacchio, M., Piscitelli, M., Di Franco, C., Scamarcio, G., & Torsi, L. (2024). Point-Of-Care Ultra-Portable Single-Molecule Bioassays for One-Health. Advanced Materials, 36(13). Scopus. https://doi.org/10.1002/adma.202309705
Marfoglia, A., Nardini, F., Mellone, S., & Carbonaro, A. (2024). Representation of Machine Learning Models to Enhance Simulation Capabilities Within Digital Twins in Personalized Healthcare. IEEE Int. Conf. Pervasive Comput. Commun. Workshops Other Affil. Events, PerCom Workshops, 100–105. Scopus. https://doi.org/10.1109/PerComWorkshops59983.2024.10502444
Lanubile, F., Martinez-Fernandez, S., & Quaranta, L. (2024). Training Future Machine Learning Engineers: A Project-Based Course on MLOps. IEEE Software, 41(2), 60–67. Scopus. https://doi.org/10.1109/MS.2023.3310768
Italiani, P., Frisoni, G., Moro, G., Carbonaro, A., & Sartori, C. (2024). Evidence, my Dear Watson: Abstractive dialogue summarization on learnable relevant utterances. Neurocomputing, 572. Scopus. https://doi.org/10.1016/j.neucom.2023.127132
Ceccarelli, F., Prinzi, F., Liò, P., Vitabile, S., & Holden, S. B. (2024). MUGI-MRI: Enhancing Breast Cancer Classification through Multiplex Graph Neural Networks in DCE-MRI. Proceedings of the International Joint Conference on Neural Networks. Scopus. https://doi.org/10.1109/IJCNN60899.2024.10650117
Pasqualini, J., Facchin, S., Rinaldo, A., Maritan, A., Savarino, E., & Suweis, S. (2024). Emergent ecological patterns and modelling of gut microbiomes in health and in disease. PLoS Computational Biology, 20(9). Scopus. https://doi.org/10.1371/journal.pcbi.1012482
Palmese, F., Druda, Y., Benintende, V., Fuda, D., Sicbaldi, M., Di Florio, P., Butt, A. H., Bedogni, G., Chiari, L., Silvani, A., & Domenicali, M. (2024). Wearable sensors for monitoring caregivers of people with dementia: a scoping review. European Geriatric Medicine. Scopus. https://doi.org/10.1007/s41999-024-01113-8
Frisoni, G., Cocchieri, A., Presepi, A., Moro, G., & Meng, Z. (2024). To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering. 1, 9878–9919. Scopus. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204491582&partnerID=40&md5=f89209e0a98ee4d070be870f40aa1793
Araujo, G., Kalinowski, M., Endler, M., & Calefato, F. (2024). Professional Insights into Benefits and Limitations of Implementing MLOps Principles. 2, 305–312. Scopus. https://doi.org/10.5220/0012741100003690
Ragazzi, L., Italiani, P., Moro, G., & Panni, M. (2024). What Are You Token About? Differentiable Perturbed Top-k Token Selection for Scientific Document Summarization. 9427–9440. Scopus. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203372057&partnerID=40&md5=f72171aed38d91b8c8a47d9d1a10adbb