| 2025 | SAC | Supervised Ensemble-based Causal DAG Selection. | Corrado Mio, Jianyi Lin, Ernesto Damiani, Gabriele Gianini |
| 2024 | IJCCI | A Comparison of Advanced Machine Learning Models for Food Import Forecasting. | Corrado Mio, Siddhartha Shakya |
| 2023 | MEDES | Heterogeneous Transfer Learning from a Partial Information Decomposition Perspective. | Gabriele Gianini, Annalisa Barsotti, Corrado Mio, Jianyi Lin |
| 2022 | IPMU | Set-Based Counterfactuals in Partial Classification. | Gabriele Gianini, Jianyi Lin, Corrado Mio, Ernesto Damiani |
| 2020 | MEDES | Selection of Information Streams in Social Sensing: an Interdependence- and Cost-aware Ranking Method. | Gabriele Gianini, Corrado Mio, Francesco Viola, Jianyi Lin, Nawaf I. Almoosa |
| 2020 | MSWIM | A Vertex-centric Markov Chain Algorithm for Network Clustering based on b-Coloring. | Jianyi Lin, Corrado Mio |
| 2019 | ISCC | Signal reconstruction by means of Embedding, Clustering and AutoEncoder Ensembles. | Corrado Mio, Gabriele Gianini |
| 2019 | MEDES | Gradient attenuation as an emergent property of reset-based Retinex models. | Gabriele Gianini, Corrado Mio, Leopold Ghemmogne Fossi, Alessandro Rizzi |
| 2019 | MSWIM | Using AutoEncoders for Radio Signal Denoising. | Ebtesam Almazrouei, Gabriele Gianini, Corrado Mio, Nawaf I. Almoosa, Ernesto Damiani |
| 2019 | SERVICES | A Watermark Inspection Game for IoT Settings. | Gabriele Gianini, Corrado Mio, Leopold Ghemmogne Fossi, Eld Egyed-Zsigmond |