Journals

1. Lippi, M., Torroni, P. (2016)
   MARGOT: a Web Server for Argumentation Mining    PDF
   Expert Systems with Applications, in press
   
   
2. Lippi, M., Ernandes, M., Felner, A. (2016)
   Optimally solving permutation sorting problems with efficient partial expansion bidirectional heuristic search    PDF
   AI Communications, in press
   
   
3. Gori, M., Lippi, M., Maggini, M., Melacci, S. (2016)
   Semantic video labeling by developmental visual agents    DOI
   Computer Vision and Image Understanding, in press
   
   
4. Lippi, M., Torroni, P. (2015)
   Argumentation Mining: State of the Art and Emerging Trends    PDF
   ACM Transactions on Internet Technology
   
   
5. Lippi, M. (2015)
   Statistical Relational Learning for Game Theory    PDF
   IEEE Transactions on Computational Intelligence and AI in Games
   
   
6. Frasconi, P., Gabbrielli, F., Lippi, M., and Marinai, S. (2014)
   Markov Logic Networks for Optical Chemical Structure Recognition    PDF
   Journal of Chemical Information and Modeling 54 (8) :2380--2390
   
   
7. Jaeger, M., Lippi, M., Passerini, A., Frasconi, P. (2013)
   Type extension trees for feature construction and learning in relational domains    PDF
   Artificial Intelligence, 204: 30--55
   
   
8. Lippi, M., Bertini, M., Frasconi, P. (2013)
   Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning    PDF
   IEEE Transactions on Intelligent Transportation Systems, 99: 1--12
   
   
9. Passerini, A., Lippi, M., Frasconi, P. (2012)
   Predicting Metal Binding Sites from Protein Sequence    PDF
   IEEE Transactions on Computational Biology and Bioinformatics, 9(1): 203--213
   
   
10. Menconi, L., Gori, M., Lippi, M., (2011)
    Computational models for short-term prediction of the stock market    PDF
    Intelligenza Artificiale, 5(2): 217--227
    
    
11. 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. (2011)
    Characterization of Metalloproteins by High-Throughput X-ray Absorption Spectroscopy in Structural Genomics    PDF
    Genome Research, 21: 898-907
    
    
12. Passerini, A., Lippi, M., Frasconi P. (2011)
    MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence.    PDF
    Nucleic Acid Research, Web Server Special Issue, 39 (suppl 2): W288-W292
    
    
13. Lippi, M., Jaeger, M., Frasconi, P., Passerini, A. (2010)
    Relational information gain    PDF
    Machine Learning Journal, 83 (2): 219-239
    
    
14. Lippi, M., Frasconi, P. (2009)
    Prediction of Protein Beta-Residue Contacts by Markov Logic Networks with Grounding Specific Weights    PDF
    Bioinformatics, 25(18):2326-2333
    
    
15. Costa, F., Passerini, A., Lippi, M., and Frasconi, P. (2009)
    A Semiparametric Generative Model for Efficient Structured-Output Supervised Learning    PDF
    Annals of Mathematics and Artificial Intelligence, 54(1-3):207-222. Special issue on Probabilistic Relational Learning
    
    
16. Lippi, M., Passerini, A., Punta, M., Rost, B., and Frasconi, P. (2008)
    MetalDetector: a web server for predicting metal binding sites and disulfide bridges in proteins from sequence    PDF
    Bioinformatics, 24(18):2094-2095.
    
    

Conferences and Workshops

1. Kiziltan, Z., Lippi, M., Torroni, P., (2016)
   Constraint Detection in Natural Language Problem Descriptions    PDF
   International Joint Conference on Artificial Intelligence (IJCAI), New York, 2016
   
   
2. Lippi, M., Sarti, P., Torroni, P., (2016)
   Argumentative Ranking    PDF
   Natural Language Processing Meets Journalism, IJCAI 2016 Workshop, New York, 2016
   
   
3. Lippi, M., Torroni, P., (2016)
   Argument Mining from Speech: Detecting Claims in Political Debates    PDF
   AAAI Conference on Artificial Intelligence (AAAI), Phoenix, 2016
   
   
4. Lippi, M., Torroni, P., (2015)
   Context-Independent Claim Detection for Argument Mining    PDF
   International Joint Conference on Artificial Intelligence (IJCAI), Buenos Aires, 2015
   
   
5. Lippi, M., Torroni, P., (2015)
   Argumentation mining: a machine learning perspective    PDF
   International Workshop on Theory and Applications of Formal Argument (TAFA), Buenos Aires, 2015
   
   
6. Gori, M., Lippi, M., Maggini, M., Melacci, S., Pelillo, M. (2015)
   En plein air visual agents    PDF
   International Conference on Image Analysis and Processing (ICIAP), Genova, 2015
   
   
7. Melacci, S., Lippi, M., Gori, M., Maggini, M., (2013)
   Information-based learning of deep architectures for feature extraction    PDF
   International Conference on Image Analysis and Processing (ICIAP), Naples, 2013
   
   
8. Frandina, S., Gori, M., Lippi, M., Maggini, M., Melacci, S, (2013)
   Variational Foundations of Online Backpropagation    PDF
   International Conference on Artificial Neural Networks (ICANN), Sofia, 2013
   
   
9. Frandina, S., Lippi, M., Maggini, M., Melacci, S, (2013)
   On-line Laplacian One-Class Support Vector Machines    PDF
   International Conference on Artificial Neural Networks (ICANN), Sofia, 2013
   
   
10. Frandina, S., Gori, M., Lippi, M., Maggini, M., Melacci, S. (2013)
    Inference, Learning and Laws of Nature    PDF
    International Workshop on Neural-Symbolic Learning and Reasoning (NeSy), Beijing, 2013
    
    
11. Gori, M., Melacci, S., Lippi, M., Maggini, M., (2013)
    Information-Theoretic Learning of Pixel-based Visual Agents    PDF
    European Conference on Computer Vision (ECCV), Florence, 2013
    
    
12. Lippi, M., Passerini, M., Punta, M., Frasconi, P., (2012)
    Metal binding in proteins: machine learning complements X-ray absorption spectroscopy    PDF
    European Conference on Machine Learning (ECML), Bristol, 2012
    
    
13. Lippi, M., Ernandes, M., Felner, A., (2012)
    Efficient single frontier bidirectional search    PDF
    Symposium on Combinatorial Search (SoCS), Niagara Falls, 2012
    
    
14. Lippi, M., Menconi, L., Gori, M., (2012)
    Balancing recall and precision in stock market predictors using support vector machines    PDF
    Italian Workshop on Neural Networks (WIRN), Vietri sul mare, 2012
    
    
15. Lippi, M., Bertini, M., Frasconi, P., (2010)
    Collective traffic forecasting    PDF
    European Conference on Machine Learning (ECML), Barcelona, 2010
    
    
16. Lippi, M., Jaeger, M., Frasconi, P., Passerini, A., (2009)
    Relational Information Gain    PDF
    International Conference on Inductive Logic Programming (ILP), Leuven, 2009
    
    
17. Lippi, M., Popenda, L., Frasconi, P., (2009)
    RNA secondary structure prediction by mapping Zuker's algorithm into Markov logic    PDF
    Bio-Logical 2009, Workshop of Italian Association for Artificial Intelligence (AI*IA), Reggio Emilia, 2009
    
    
18. Lippi, M., Frasconi, P., (2008)
    Markov Logic improves protein beta-partners prediction    PDF
    Workshop on Mining and Learning with Graphs (MLG), Helsinki, 2008