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
PH.D. Thesis
Statistical Learning for Relational and Structured Data (2010). Pdf version available here.
Publications on international journals
Shi, W., Punta, M., Bohon, J., Sauder, M., D'Mello, R., Sullivan, M., Toomey J., Abel, D., Frasconi P., Lippi M., Passerini A., Burley S., Rost B. and Chance, M., Characterization of Metalloproteins by High-Throughput X-ray Absorption Spectroscopy in Structural Genomics. Genome Research (2011).
Passerini, A., Lippi, M., Frasconi P., Predicting Metal Binding Sites from Protein Sequence. IEEE Transactions on Computational Biology and Bioinformatics (2011).
Passerini, A., Lippi, M., Frasconi P., MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence}. Nucleic Acid Research, Web Server Special Issue (2011).
Lippi, M., Jaeger, M., Frasconi, P., Passerini, A., Relational Information Gain. Machine Learning (2011).
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)
Software
MetalDetector: web server for prediction of protein metal binding sites