Virginia Carugno and Rafael Peñaloza, The Possibility of Temporal Traces
Giorgio Longari, Lorenzo Olearo, Simone Melzi, Rafael Peñaloza and Alessandro Raganato, How to Blend Concepts in Diffusion Models
Francesco Folino, Luigi Pontieri and Pietro Sabatino, Effective and Interpretable Outcome Prediction by Training Sparse Mixtures of Linear Experts,
https://arxiv.org/abs/2407.13526
Andrei Buliga, Chiara Di Francescomarino, Chiara Ghidini, Marco Montali and Massimiliano Ronzani, Discussion: Weaving temporal background knowledge into the counterfactual explanation generation process
Andrei Buliga, Mozhgan Vazifehdoostirani, Laura Genga, Xixi Lu, Chiara Di Francescomarino and Chiara Ghidini, Discussion: Uncovering Patterns for Local Explanations in Outcome-based Predictive Process Monitoring
Rafael Peñaloza, Interpretation-based Provenance
Mario Alviano, Valeria Fionda, Antonio Ielo and Francesco Ricca, ASP for process mining: some possible future lines of research