Barbara Di Camillo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
6
Active years
2010–2026
Best venue rank
B
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AIME | Network-Based Integration of Multi-omics Data for Biomarker Discovery in Acute Coronary Syndromes. | Elena Marinello, Shahryar Noei, Marco Chierici, Nria Amig, Dane Cvijanovic, Aleksandar Davidovic, Dalibor Dragisic, Claudia Giglione, Dimitris Kardassis, Marko Milanov, Jelena Munjas, Iva Perovic-Blagojevic, Aleksa Petkovic, Tamara Ratkovic, Pol Torne, Christos Tsatsanis, Sandra Vladimirov-Sopic, Luka Vukmirovic, Paolo Magni, Miron Sopic, Barbara Di Camillo, Giuseppe Jurman |
| 2025 | AIME | Exploring the Use of Projecting Conflicting Gradients in Multi-task Neural Networks with an Application to Amyotrophic Lateral Sclerosis. | Davide Dei Cas, Enrico Longato, Erica Tavazzi, Umberto Manera, Adriano Chi, Marta Gromicho, Ins Alves, Mamede de Carvalho, Barbara Di Camillo |
| 2025 | IJCNN | Biologically Informed procedure for Feature Summarization in Spatial Transcriptomics. | Matteo Baldan, Giulia Cesaro, Giacomo Baruzzo, Barbara Di Camillo |
| 2025 | PDP | quickSparseM: a library for memory- and time-efficient computation on large, sparse matrices with application to omics data. | Giacomo Baruzzo, Giulia Cesaro, Barbara Di Camillo |
| 2024 | ECIR | iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge. | Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chi, Arianna Dagliati, Barbara Di Camillo, Mamede de Carvalho, Nicola Ferro, Piero Fariselli, Jose Manuel Garca Dominguez, Sara C. Madeira, Eleonora Tavazzi |
| 2023 | AIME | Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis. | Enrico Longato, Erica Tavazzi, Adriano Chi, Gabriele Mora, Giovanni Sparacino, Barbara Di Camillo |
| 2023 | ECIR | iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge. | Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chi, Arianna Dagliati, Barbara Di Camillo, Mamede de Carvalho, Nicola Ferro, Piero Fariselli, Jose Manuel Garca Dominguez, Sara C. Madeira, Eleonora Tavazzi |
| 2021 | AIME | Recurrent Neural Network to Predict Renal Function Impairment in Diabetic Patients via Longitudinal Routine Check-up Data. | Enrico Longato, Gian Paolo Fadini, Giovanni Sparacino, Angelo Avogaro, Barbara Di Camillo |
| 2019 | ESANN | Deep convolutional neural network for survival estimation of Amyotrophic Lateral Sclerosis patients. | Enrico Grisan, Alessandro Zandon, Barbara Di Camillo |
| 2015 | AIME | A Bayesian Network for Probabilistic Reasoning and Imputation of Missing Risk Factors in Type 2 Diabetes. | Francesco Sambo, Andrea Facchinetti, Liisa Hakaste, Jasmina Kravic, Barbara Di Camillo, Giuseppe Fico, Jaakko Tuomilehto, Leif Groop, Rafael Gabriel, Tuomi Tiinamaija, Claudio Cobelli |
| 2012 | ESANN | Discriminant functional gene groups identification with machine learning and prior knowledge. | Grzegorz Zycinski, Margherita Squillario, Annalisa Barla, Tiziana Sanavia, Alessandro Verri, Barbara Di Camillo |
| 2010 | PSB | Retrovirus HTLV-1 Gene Circuit: A Potential Oscillator for Eukaryotes. | Alberto Corradin, Barbara Di Camillo, Francesca Rende, Vincenzo Ciminale, Gianna Toffolo, Claudio Cobelli |