Journals


  1. Chesani, F., Galassi, A., Lippi, M., Mello, P. (2018)
    Can Deep Networks Learn to Play by the Rules? A Case Study on Nine Men's Morris    PDF
    IEEE Transactions on Games, in press

  2. Lippi, M., Mamei, M., Mariani, S., Zambonelli, F. (2018)
    An Argumentation-based Perspective over the Social IoT    PDF
    IEEE IoT Journal, in press

  3. Lippi, M., Torroni, P. (2016)
    MARGOT: a Web Server for Argumentation Mining    PDF
    Expert Systems with Applications, in press

  4. Lippi, M., Ernandes, M., Felner, A. (2016)
    Optimally solving permutation sorting problems with efficient partial expansion bidirectional heuristic search    PDF
    AI Communications, in press

  5. Gori, M., Lippi, M., Maggini, M., Melacci, S. (2016)
    Semantic video labeling by developmental visual agents    DOI
    Computer Vision and Image Understanding, in press

  6. Lippi, M., Torroni, P. (2015)
    Argumentation Mining: State of the Art and Emerging Trends    PDF
    ACM Transactions on Internet Technology

  7. Lippi, M. (2015)
    Statistical Relational Learning for Game Theory    PDF
    IEEE Transactions on Computational Intelligence and AI in Games

  8. 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

  9. 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

  10. 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

  11. 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

  12. Menconi, L., Gori, M., Lippi, M., (2011)
    Computational models for short-term prediction of the stock market    PDF
    Intelligenza Artificiale, 5(2): 217--227

  13. 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

  14. 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

  15. Lippi, M., Jaeger, M., Frasconi, P., Passerini, A. (2010)
    Relational information gain    PDF
    Machine Learning Journal, 83 (2): 219-239

  16. 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

  17. 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

  18. 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. Lippi, M., Palka, P., Contissa, G., Lagioia, F., Micklitz, H.-W., Panagis, Y., Sartor, G., Torroni, P. (2017)
    Automated Detection of Unfair Clauses in Online Consumer Contracts    PDF
    Legal Knowledge and Information Systems (JURIX), Luxembourg, 2017

  2. Lippi, M., Mamei, M., Mariani, S., Zambonelli, F. (2017)
    Coordinating Distributed Speaking Objects    PDF
    International Conference on Distributed Computing Systems (ICDCS), Atlanta, 2017

  3. Petraro, A., Caselli, F., Milano, M., Lippi, M. (2017)
    Driving Behaviour Clustering For Realistic Traffic Micro-Simulators    PDF
    European Conference on Modelling and Simulation (ECMS), Budapest, 2017

  4. Lippi, M. (2016)
    Reasoning with Deep Learning: an Open Challenge    PDF
    AI*IA Workshop on Deep Understanding and Reasoning: A Challenge for Next-Generation Intelligent Agents (URANIA), Genova, 2016

  5. 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

  6. Lippi, M., Sarti, P., Torroni, P., (2016)
    Argumentative Ranking    PDF
    Natural Language Processing Meets Journalism, IJCAI 2016 Workshop, New York, 2016

  7. Lippi, M., Torroni, P., (2016)
    Argument Mining from Speech: Detecting Claims in Political Debates    PDF
    AAAI Conference on Artificial Intelligence (AAAI), Phoenix, 2016

  8. Lippi, M., Torroni, P., (2015)
    Context-Independent Claim Detection for Argument Mining    PDF
    International Joint Conference on Artificial Intelligence (IJCAI), Buenos Aires, 2015

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. Lippi, M., Ernandes, M., Felner, A., (2012)
    Efficient single frontier bidirectional search    PDF
    Symposium on Combinatorial Search (SoCS), Niagara Falls, 2012

  18. 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

  19. Lippi, M., Bertini, M., Frasconi, P., (2010)
    Collective traffic forecasting    PDF
    European Conference on Machine Learning (ECML), Barcelona, 2010

  20. Lippi, M., Jaeger, M., Frasconi, P., Passerini, A., (2009)
    Relational Information Gain    PDF
    International Conference on Inductive Logic Programming (ILP), Leuven, 2009

  21. 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

  22. Lippi, M., Frasconi, P., (2008)
    Markov Logic improves protein beta-partners prediction    PDF
    Workshop on Mining and Learning with Graphs (MLG), Helsinki, 2008