Session Chair: Francesco Folino
| 11:00-11:20 | AS-SIM: an approach to Action-State Process Model Discovery | Alessio Bottrighi, Marco Guazzone, Giorgio Leonardi, Stefania Montani, Manuel Striani and Paolo Terenziani |
| 11:20-11:40 | Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery | Francesco Folino, Gianluigi Folino, Massimo Guarascio and Luigi Pontieri |
| 11:40-12:00 | Temporal Graph-based CNNs (TG-CNNs) for Online Course Dropout Prediction | Zoe Hancox and Samuel Relton |
| 12:00-12:20 | Graph Convolutional Networks Using Node Addition and Edge Reweighting | Wen-Yu Lee |
| 12:20-12:40 | Audio Super-Resolution via Vision Transformer | Simona Nisticò, Luigi Palopoli and Adele Pia Romano |
| 12:40-13:00 | Similarity embedded temporal Transformers: Enhancing stock predictions with historically similar trends | Kenniy Olorunnimbe and Herna Viktor |