Marco Lippi

• Statistical relational learning: Markov Logic Networks
• Inductive Logic Programming: Relational Information Gain
• Bioinformatics applications: prediction of protein structure, contact maps, metal binding sites
• Time series forecasting with applications to traffic flow prediction
• Probabilistic context-free grammars for Natural Language Processing and RNA structure prediction

• Lippi, M., Frasconi, P., Prediction of Protein Beta-Residue Contacts by Markov Logic Networks with Grounding Specific Weights. Bioinformatics (2009).


• Costa, F., Passerini, A., Lippi, M., and Frasconi, P., A Semiparametric Generative Model for Efficient Structured-Output Supervised Learning. Annals of Mathematics and Artificial Intelligence. Special issue on Probabilistic Relational Learning. (2009).


• Lippi, M., Passerini, A., Punta, M., Rost, B., and Frasconi, P., MetalDetector: a web server for predicting metal binding sites and disulfide bridges in proteins from sequence. Bioinformatics (2008)

• MetalDetector: web server for prediction of protein metal binding sites


• Markov logic networks with grounding-specific weights: a combination of Markov logic networks and neural networks, to handle continuous features and embed discriminative classifiers within Markov logic.