An Efficient Reasoner for Description Logics of Typicality and Rational Closure. - Laura Giordano 001; Valentina Gliozzi; Gian Luca Pozzato; Riccardo Renzulli (Description Logics, 2017)

RAT-OWL: Reasoning with Rational Closure in Description Logics of Typicality. - Laura Giordano 001; Valentina Gliozzi; Gian Luca Pozzato; Riccardo Renzulli (ICTCS/CILC, 2017)

Capsule Networks with Routing Annealing. - Riccardo Renzulli; Enzo Tartaglione; Attilio Fiandrotti; Marco Grangetto (ICANN (1), 2021)

UniToChest. - Daniele Perlo; Riccardo Renzulli; Francesca Santinelli; Stefano Tibaldi; Carmen Cristiano; Marco Grosso; Giorgio Limerutti; Marco Grangetto; Paolo Fonio (Zenodo, 2021)

Lung Nodules Segmentation with DeepHealth Toolkit. - Hafiza Ayesha Hoor Chaudhry; Riccardo Renzulli; Daniele Perlo; Francesca Santinelli; Stefano Tibaldi; Carmen Cristiano; Marco Grosso; Attilio Fiandrotti; Maurizio Lucenteforte; Davide Cavagnino (ICIAP Workshops (1), 2022)

UniToChest: A Lung Image Dataset for Segmentation of Cancerous Nodules on CT Scans. - Hafiza Ayesha Hoor Chaudhry; Riccardo Renzulli; Daniele Perlo; Francesca Santinelli; Stefano Tibaldi; Carmen Cristiano; Marco Grosso; Giorgio Limerutti; Attilio Fiandrotti; Marco Grangetto; Paolo Fonio (ICIAP (1), 2022)

Towards Efficient Capsule Networks. - Riccardo Renzulli; Marco Grangetto (ICIP, 2022)

REM: Routing Entropy Minimization for Capsule Networks. - Riccardo Renzulli; Enzo Tartaglione; Marco Grangetto (CoRR, 2022)

Lung nodules segmentation from CT with DeepHealth toolkit. - Hafiza Ayesha Hoor Chaudhry; Riccardo Renzulli; Daniele Perlo; Francesca Santinelli; Stefano Tibaldi; Carmen Cristiano; Marco Grosso; Attilio Fiandrotti; Maurizio Lucenteforte; Davide Cavagnino (CoRR, 2022)

Shannon Strikes Again! Entropy-based Pruning in Deep Neural Networks for Transfer Learning under Extreme Memory and Computation Budgets. - Gabriele Spadaro; Riccardo Renzulli; Andrea Bragagnolo; Jhony H. Giraldo; Attilio Fiandrotti; Marco Grangetto; Enzo Tartaglione (ICCV (Workshops), 2023)

Two is Better than One: Achieving High-Quality 3D Scene Modeling with a NeRF Ensemble. - Francesco Di Sario; Riccardo Renzulli; Enzo Tartaglione; Marco Grangetto (ICIAP (2), 2023)

Artificial intelligence methods for biomedical imaging and omics data. - Carlo Alberto Barbano; Marco Beccuti; Francesca Cordero; Desislav Nikolaev Ivanov; Nicola Licheri; Simone Pernice; Alberto Presta; Riccardo Renzulli; Marco Grangetto (Ital-IA, 2023)

Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke. - Umberto A. Gava; Federico D'Agata; Enzo Tartaglione; Riccardo Renzulli; Marco Grangetto; Francesca Bertolino; Ambra Santonocito; Edwin Bennink; Giacomo Vaudano; Andrea Boghi; Mauro Bergui (Frontiers Neuroinformatics, 2023)

LSVL: Large-scale season-invariant visual localization for UAVs. - Jouko Kinnari; Riccardo Renzulli; Francesco Verdoja; Ville Kyrki (Robotics Auton. Syst., 2023)

Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering. - Francesco Di Sario; Riccardo Renzulli; Enzo Tartaglione; Marco Grangetto (ECCV (83), 2024)

AI-Assisted Diagnosis for Covid-19 CXR Screening: from Data Collection to Clinical Validation. - Carlo Alberto Barbano; Riccardo Renzulli; Marco Grosso; Domenico Basile; Marco Busso; Marco Grangetto (ISBI, 2024)

Hierarchical Object-Centric Learning with Capsule Networks. - Riccardo Renzulli (CoRR, 2024)

Unsupervised Contrastive Analysis for Salient Pattern Detection using Conditional Diffusion Models. - Cristiano Patrício; Carlo Alberto Barbano; Attilio Fiandrotti; Riccardo Renzulli; Marco Grangetto; Luís F. Teixeira 001; João C. Neves 001 (CoRR, 2024)

GoDe: Gaussians on Demand for Progressive Level of Detail and Scalable Compression. - Francesco Di Sario; Riccardo Renzulli; Marco Grangetto; Akihiro Sugimoto; Enzo Tartaglione (CoRR, 2025)

When Does Pruning Benefit Vision Representations? - Enrico Cassano; Riccardo Renzulli; Andrea Bragagnolo; Marco Grangetto (CoRR, 2025)

Capsule networks do not need to model everything. - Riccardo Renzulli; Enzo Tartaglione; Marco Grangetto (Pattern Recognit., 2026)