1. On Using Sum-Product Networks For Multi-Label Classification, J. V. Llerena and D. D. Mauá. In Proceedings of the 6th Brazilian Conference on Intelligent Systems, pp. 25–30, 2017.
    @inproceedings{villanueva2018bracis,
      title = {On Using Sum-Product Networks For Multi-Label Classification},
      author = {Llerena, Julissa Villanueva and Mau\'a, Denis Deratani},
      booktitle = {Proceedings of the 6th Brazilian Conference on Intelligent Systems},
      series = {BRACIS},
      pages = {25--30},
      year = {2017}
    }
    
  2. University Entrance Exam as a Guiding Test for Artificial Intelligence, I. C. Silveira and D. D. Mauá. In Proceedings of the 6th Brazilian Conference on Intelligent Systems, pp. 426–431, 2017.
    @inproceedings{silveira2018bracis,
      title = {University Entrance Exam as a Guiding Test for Artificial Intelligence},
      author = {Silveira, Igor Cataneo and Mau\'a, Denis Deratani},
      booktitle = {Proceedings of the 6th Brazilian Conference on Intelligent Systems},
      series = {BRACIS},
      pages = {426--431},
      year = {2017}
    }
    
  3. On the Semantics and Complexity of Probabilistic Logic Programs, F. G. Cozman and D. D. Mauá. In Journal of Artificial intelligence Research, vol. 60 pp. 221–262, 2017.
    @article{cozman2017jair,
      title = {On the Semantics and Complexity of Probabilistic Logic Programs},
      author = {Cozman, Fabio Gagliardi and Mau{\'a}, Denis Deratani},
      journal = {Journal of Artificial intelligence Research},
      volume = {60},
      number = {},
      pages = {221--262},
      year = {2017},
      url = {http://www.jair.org/papers/paper5482.html},
      doi = {10.1613/jair.5482},
      selected = {1}
    }
    
  4. Speeding-up ProbLog’s Parameter Learning, F. H. O. V. de Faria, A. C. Gusmão, F. G. Cozman, and D. D. Mauá. In Proceedings of the Seventh International Workshop on Statistical Relational AI, 2017.
    @inproceedings{defaria2017starai,
      title = {Speeding-up ProbLog's Parameter Learning},
      author = {de Faria, Francisco H. O. V. and Gusm{\~{a}}o, Arthur C. and Cozman, F{\'{a}}bio Gagliardi and Mau{\'{a}}, Denis Deratani},
      booktitle = {Proceedings of the Seventh International Workshop on Statistical Relational AI},
      series = {STARAI},
      year = {2017},
      url = {https://arxiv.org/pdf/1707.08151}
    }
    
  5. Approximation Complexity of Maximum A Posteriori Inference in Sum-Product Networks, D. Conaty, D. D. Mauá, and C. P. de Campos. In Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, pp. 322–331, 2017.
    @inproceedings{conaty2017uai,
      author = {Conaty, Diarmaid and Mau\'a, Denis Deratani and de Campos, Cassio Polpo},
      title = {Approximation Complexity of Maximum A Posteriori Inference in Sum-Product Networks},
      booktitle = {Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence},
      editor = {Elidan, Gal and Kersting, Kristian},
      year = {2017},
      pages = {322--331},
      url = {http://auai.org/uai2017/proceedings/papers/109.pdf},
      publisher = {AUAI Press},
      selected = {1}
    }
    
  6. The Complexity of Inferences and Explanations in Probabilistic Logic Programming, F. G. Cozman and D. D. Mauá. In Proceedings of the 14th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, pp. 449–458, 2017.
    @inproceedings{cozman2017ecsqaru-b,
      author = {Cozman, Fabio Gagliardi and Mau{\'a}, Denis Deratani},
      editor = {Antonucci, Alessandro and Cholvy, Laurence and Papini, Odile},
      title = {The Complexity of Inferences and Explanations in Probabilistic Logic Programming},
      booktitle = {Proceedings of the 14th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty},
      year = {2017},
      publisher = {Springer International Publishing},
      address = {},
      pages = {449--458},
      isbn = {978-3-319-61581-3},
      doi = {10.1007/978-3-319-61581-3_40},
      selected = {1}
    }
    
  7. Parameter Learning in ProbLog with Probabilistic Rules, F. H. O. V. de Faria, A. C. Gusmão, G. de Bona, D. D. Mauá, and F. G. Cozman. In Proceedings of the 5th Symposium on knowledge Discovery, Mining and Learning, pp. 27–34, 2017.
    @inproceedings{deFaria2017kdmile,
      author = {de Faria, Francisco H. O. V. and Gusm\~ao, Arthur C. and de Bona, Glauber and Mauá, Denis Deratani and Cozman, Fabio Gagliardi},
      title = {Parameter Learning in ProbLog with Probabilistic Rules},
      booktitle = {Proceedings of the 5th Symposium on knowledge Discovery, Mining
      and Learning},
      series = {KDMiLe},
      pages = {27--34},
      year = {2017}
    }
    
  8. The Descriptive Complexity of Bayesian Network Specifications, F. G. Cozman and D. D. Mauá. In Proceedings of the 14th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017.
    @inproceedings{cozman2017ecsqaru-a,
      author = {Cozman, Fabio Gagliardi and Mau{\'a}, Denis Deratani},
      editor = {Antonucci, Alessandro and Cholvy, Laurence and Papini, Odile},
      title = {The Descriptive Complexity of Bayesian Network Specifications},
      booktitle = {Proceedings of the 14th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty},
      year = {2017},
      publisher = {Springer International Publishing},
      address = {},
      fpages = {93--103},
      isbn = {978-3-319-61581-3},
      doi = {10.1007/978-3-319-61581-3_9},
      selected = {1}
    }
    
  9. Credal Sum-Product Networks, D. D. Mauá, F. G. Cozman, D. Conaty, and C. P. de Campos. In Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, vol. 62, pp. 205–216, 2017.
    @inproceedings{maua2017isipta,
      title = {Credal Sum-Product Networks},
      author = {Mau\'a, Denis Deratani and Cozman, Fabio Gagliardi and Conaty, Diarmaid and de Campos, Cassio Polpo},
      booktitle = {Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications},
      pages = {205--216},
      year = {2017},
      editor = {Antonucci, Alessandro and Corani, Giorgio and Couso, In\'es and Destercke, S\'ebastien},
      volume = {62},
      series = {Proceedings of Machine Learning Research},
      address = {},
      publisher = {PMLR},
      url = {http://proceedings.mlr.press/v62/mau%C3%A117a.html},
      selected = {1}
    }
    
  10. Modeling Markov Decision Processes with Imprecise Probabilities Using Probabilistic Logic Programming, T. P. Bueno, D. D. Mauá, L. N. de Barros, and F. G. Cozman. In Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, vol. 62, pp. 49–60, 2017.
    @inproceedings{bueno2017isipta,
      title = {Modeling {M}arkov Decision Processes with Imprecise Probabilities Using Probabilistic Logic Programming},
      author = {Bueno, Thiago Pereira and Mau\'a, Denis Deratani and de Barros, Leliane Nunes and Cozman, Fabio Gagliardi},
      booktitle = {Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications},
      pages = {49--60},
      year = {2017},
      editor = {Antonucci, Alessandro and Corani, Giorgio and Couso, In\'es and Destercke, S\'ebastien},
      volume = {62},
      series = {Proceedings of Machine Learning Research},
      address = {},
      publisher = {PMLR},
      url = {http://proceedings.mlr.press/v62/bueno17a.html}
    }
    
  11. Closed-Form Solutions in Learning Probabilistic Logic Programs by Exact Score Maximization, F. H. O. V. de Faria, F. G. Cozman, and D. D. Mauá. In Proceedings of the 11th International Conference on Scalable Uncertainty Management, pp. 119–133, 2017.
    @inproceedings{defaria2017sum,
      author = {de Faria, Francisco Henrique Otte Vieira and Cozman, Fabio Gagliardi and Mau\'a, Denis Deratani},
      title = {Closed-Form Solutions in Learning Probabilistic Logic Programs by Exact Score Maximization},
      booktitle = {Proceedings of the 11th International Conference on Scalable Uncertainty Management},
      editor = {Moral, Seraf\'in and Pivert, Olivier and S\'anchez, Daniel and Mar\'in, Nicol\'as},
      year = {2017},
      series = {SUM},
      pages = {119--133},
      doi = {10.1007/978-3-319-67582-4_9}
    }
    
  12. The effect of combination functions on the complexity of relational Bayesian networks, D. D. Mauá and F. G. Cozman. In International Journal of Approximate Reasoning, vol. 85 pp. 178–195, 2017.
    @article{maua2017ijar,
      title = {The effect of combination functions on the complexity of relational {B}ayesian networks},
      author = {Mau\'a, Denis Deratani and Cozman, Fabio Gagliardi},
      journal = {International Journal of Approximate Reasoning},
      volume = {85},
      number = {},
      pages = {178--195},
      year = {2017},
      selected = {1}
    }
    
  13. Approximation Complexity of Maximum A Posteriori Inference in Sum-Product Networks, D. D. Mauá and C. P. de Campos. Mar-2017.
    @techreport{maua2017arxiv,
      archiveprefix = {arXiv},
      arxivid = {1703.06045},
      author = {Mau{\'{a}}, Denis Deratani and de Campos, Cassio P.},
      eprint = {1703.06045},
      keywords = {complexity,sum-product networks},
      month = mar,
      pages = {1--14},
      title = {Approximation Complexity of Maximum A Posteriori Inference in Sum-Product Networks},
      url = {http://arxiv.org/abs/1703.06045},
      year = {2017}
    }
    
  14. On the complexity of propositional and relational credal networks, F. G. Cozman and D. D. Mauá. In International Journal of Approximate Reasoning, vol. 83 pp. 298–319, 2017.
    @article{cozman2017ijar,
      title = {On the complexity of propositional and relational credal networks},
      journal = {International Journal of Approximate Reasoning},
      volume = {83},
      number = {},
      pages = {298--319},
      year = {2017},
      issn = {0888-613X},
      doi = {http://dx.doi.org/10.1016/j.ijar.2016.10.008},
      url = {http://www.sciencedirect.com/science/article/pii/S0888613X16302031},
      author = {Cozman, Fabio Gagliardi and Mauá, Denis Deratani},
      selected = {1}
    }
    
  15. Equivalences between maximum a posteriori inference in Bayesian networks and maximum expected utility computation in influence diagrams, D. D. Mauá. In International Journal of Approximate Reasoning, vol. 68 pp. 211–229, 2016.
    @article{maua2016ijar,
      title = {Equivalences between maximum a posteriori inference in
                       Bayesian networks and maximum expected utility
                       computation in influence diagrams},
      journal = {International Journal of Approximate Reasoning},
      volume = {68},
      pages = {211--229},
      year = {2016},
      doi = {10.1016/j.ijar.2015.03.007},
      url = {http://www.sciencedirect.com/science/article/pii/S0888613X15000407},
      author = {Mau\'a, Denis Deratani}
    }
    
  16. The structure and complexity of credal semantics, F. G. Cozman and D. D. Mauá. In Proceedings of the 3rd International Workshop on Probabilistic Logic Programming, pp. 3–14, 2016.
    @inproceedings{cozman2016wplp,
      author = {Cozman, Fabio Gagliardi and Mauá, Denis Deratani},
      title = {The structure and complexity of credal semantics},
      booktitle = {Proceedings of the 3rd International Workshop on Probabilistic Logic Programming},
      pages = {3--14},
      year = {2016}
    }
    
  17. Better Initialization Heuristics for Order-based Bayesian Network Structure Learning, W. Perez and D. D. Mauá. In Journal of Information and Data Management, vol. 7, no., 2 pp. 181–195, 2016.
    @article{perez2016jidm,
      title = {Better Initialization Heuristics for Order-based Bayesian Network Structure Learning},
      author = {Perez, Walter and Mau\'a, Denis Deratani},
      journal = {Journal of Information and Data Management},
      volume = {7},
      number = {2},
      pages = {181--195},
      year = {2016}
    }
    
  18. Markov Decision Processes Specified by Probabilistic Logic Programming: Representation and Solution, T. Bueno, D. D. Mauá, L. N. de Barros, and F. G. Cozman. In Proceedings of the 5th Brazilian Conference on Intelligent System (BRACIS), pp. 337–342, 2016.
    @inproceedings{bueno2016bracis,
      title = {Markov Decision Processes Specified by Probabilistic Logic Programming: Representation and Solution},
      author = {Bueno, Thiago and Mau\'{a}, Denis Deratani and de Barros, Leliane Nunes and Cozman, Fabio Gagliardi},
      booktitle = {Proceedings of the 5th Brazilian Conference on Intelligent System (BRACIS)},
      pages = {337-342},
      doi = {10.1109/BRACIS.2016.068},
      year = {2016}
    }
    
  19. Improving Acyclic Selection Order-Based Bayesian Network Structure Learning, W. Perez and D. D. Mauá. In XIII Encontro Nacional de Inteligência Artificial e Computacional (ENIAC), pp. 169–180, 2016.
    @inproceedings{perez2016eniac,
      title = {Improving Acyclic Selection Order-Based Bayesian Network Structure Learning},
      author = {Perez, Walter and Mau\'{a}, Denis Deratani},
      booktitle = {XIII Encontro Nacional de Intelig\^{e}ncia Artificial e Computacional (ENIAC)},
      pages = {169--180},
      year = {2016}
    }
    
  20. The Well-Founded Semantics of Cyclic Probabilistic Logic Programs, F. G. Cozman and D. D. Mauá. In XIII Encontro Nacional de Inteligência Artificial e Computacional (ENIAC), pp. 157–168, 2016.
    @inproceedings{cozman2016eniac,
      title = {The Well-Founded Semantics of Cyclic Probabilistic Logic Programs},
      author = {Cozman, Fabio Gagliardi and Mau\'{a}, Denis Deratani},
      booktitle = {XIII Encontro Nacional de Intelig\^{e}ncia Artificial e Computacional (ENIAC)},
      pages = {157--168},
      year = {2016}
    }
    
  21. The Effect of Combination Functions on the Complexity of Relational Bayesian Networks, D. D. Mauá and F. G. Cozman. In Proceedings of the Eighth International Conference on Probabilistic Graphical Models, pp. 333–344, 2016.
    @inproceedings{maua2016pgm,
      title = {The Effect of Combination Functions on the Complexity of Relational Bayesian Networks},
      author = {Mau{\'{a}}, Denis Deratani and Cozman, F{\'{a}}bio Gagliardi},
      booktitle = {Proceedings of the Eighth International Conference on Probabilistic Graphical Models},
      series = {Journal of Machine Learning Research: Workshop \& Conference Proceedings},
      pages = {333--344},
      year = {2016}
    }
    
  22. Probabilistic Graphical Models Specified by Probabilistic Logic Programs: Semantics and Complexity, F. G. Cozman and D. D. Mauá. In Proceedings of the Eighth International Conference on Probabilistic Graphical Models, pp. 110–122, 2016.
    @inproceedings{cozman2016pgm,
      title = {Probabilistic Graphical Models Specified by Probabilistic Logic Programs: Semantics and Complexity},
      author = {Cozman, F\'{a}bio Gagliardi and Mau\'{a}, Denis Deratani},
      booktitle = {Proceedings of the Eighth International Conference on Probabilistic Graphical Models},
      series = {Journal of Machine Learning Research: Workshop \& Conference Proceedings},
      pages = {110--122},
      year = {2016}
    }
    
  23. Hidden Markov models with set-valued parameters, D. D. Mauá, A. Antonucci, and C. P. de Campos. In Neurocomputing, vol. 180 pp. 94–107, 2016.
    @article{maua2016neuro,
      title = {Hidden Markov models with set-valued parameters},
      journal = {Neurocomputing},
      volume = {180},
      number = {},
      pages = {94--107},
      year = {2016},
      note = {Progress in Intelligent Systems Design: Selected papers from the 4th Brazilian Conference on Intelligent Systems (BRACIS 2014)},
      issn = {0925-2312},
      doi = {http://dx.doi.org/10.1016/j.neucom.2015.08.095},
      url = {http://www.sciencedirect.com/science/article/pii/S0925231215016112},
      author = {Mau\'a, Denis Deratani and Antonucci, Alessandro and de Campos, Cassio Polpo},
      selected = {1}
    }
    
  24. Fast local search methods for solving limited memory influence diagrams, D. D. Mauá and F. G. Cozman. In International Journal of Approximate Reasoning, vol. 68 pp. 230–245, 2016.
    @article{maua2016ijarb,
      title = {Fast local search methods for solving limited memory influence diagrams},
      journal = {International Journal of Approximate Reasoning},
      volume = {68},
      pages = {230--245},
      year = {2016},
      issn = {0888-613X},
      doi = {10.1016/j.ijar.2015.05.003},
      url = {http://www.sciencedirect.com/science/article/pii/S0888613X15000663},
      author = {Mau\'a, Denis Deratani and Cozman, Fabio Gagliardi}
    }
    
  25. The Complexity of Bayesian Networks Specified by Propositional and Relational Languages, F. G. Cozman and D. D. Mauá. Dec-2016.
    @techreport{cozman2016arxiv,
      archiveprefix = {arXiv},
      arxivid = {1612.01120},
      author = {Cozman, Fabio Gagliardi and Mau{\'{a}}, Denis Deratani},
      eprint = {1612.01120},
      month = dec,
      pages = {1--65},
      title = {The Complexity of Bayesian Networks Specified by Propositional and Relational Languages},
      url = {http://arxiv.org/abs/1612.01120},
      year = {2016}
    }
    
  26. Bayesian Networks Specified Using Propositional and Relational Constructs: Combined, Data, and Domain Complexity, F. G. Cozman and D. D. Mauá. In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, pp. 3519–3525, 2015.
    @inproceedings{cozman2015aaai,
      author = {Cozman, Fabio Gagliardi and Mau\'a, Denis Deratani},
      title = {Bayesian Networks Specified Using Propositional and
                       Relational Constructs: Combined, Data, and Domain
                       Complexity},
      booktitle = {Proceedings of the Twenty-Ninth AAAI Conference on
                       Artificial Intelligence},
      year = {2015},
      pages = {3519--3525},
      url = {http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9312/9787},
      selected = {1}
    }
    
  27. Early classification of time series by hidden Markov models with set-valued parameters, A. Antonucci, M. Scanagatta, D. Mauà, and C. P. de Campos. In Proceedings of the NIPS Time Series Workshop, 2015.
    @inproceedings{antonucci2015d,
      title = {Early classification of time series by hidden {M}arkov models with set-valued parameters},
      booktitle = {Proceedings of the NIPS Time Series Workshop},
      author = {Antonucci, A. and Scanagatta, M. and Mau\`a, D. and de Campos, C.P.},
      year = {2015},
      url = {https://sites.google.com/site/nipsts2015/home}
    }
    
  28. Initialization Heuristics for Greedy Bayesian Network Structure Learning, W. P. Urcia and D. D. Mauá. In Proceedings of the Third Symposium on Knowledge Discovery, Mining and Learning, pp. 58–65, 2015.
    @inproceedings{perez2015kdmile,
      author = {Urcia, Walter Perez and Mau\'a, Denis Deratani},
      title = {Initialization Heuristics for Greedy {B}ayesian Network Structure Learning},
      booktitle = {Proceedings of the Third Symposium on Knowledge Discovery, Mining and Learning},
      editor = {Plastino, Alexandre and de Amo, Sandra and Marinho, Leandro Balby},
      year = {2015},
      pages = {58--65},
      isbn = {2318-1060}
    }
    
  29. The Complexity of Plate Probabilistic Models, F. G. Cozman and D. D. Mauá. In Proceedings of the Ninth International Conference on Scalable Uncertainty Management, vol. 9310, pp. 36–49, 2015.
    @inproceedings{cozman2015sum,
      author = {Cozman, F{\'{a}}bio Gagliardi and Mau{\'{a}}, Denis Deratani},
      title = {The Complexity of Plate Probabilistic Models},
      booktitle = {Proceedings of the Ninth International Conference on Scalable Uncertainty Management},
      pages = {36--49},
      year = {2015},
      url = {http://dx.doi.org/10.1007/978-3-319-23540-0_3},
      doi = {10.1007/978-3-319-23540-0_3},
      series = {Lecture Notes in Computer Science},
      volume = {9310},
      publisher = {Springer},
      isbn = {978-3-319-23539-4}
    }
    
  30. DL-Lite Bayesian Networks: A Tractable Probabilistic Graphical Model, D. D. Mauá and F. G. Cozman. In Proceedings of the Ninth International Conference on Scalable Uncertainty Management, vol. 9310, pp. 50–64, 2015.
    @inproceedings{maua2015sum,
      author = {Mau{\'{a}}, Denis Deratani and Cozman, F{\'{a}}bio Gagliardi},
      title = {{DL}-Lite {B}ayesian Networks: A Tractable Probabilistic Graphical Model},
      booktitle = {Proceedings of the Ninth International Conference on Scalable Uncertainty Management},
      pages = {50--64},
      year = {2015},
      url = {http://dx.doi.org/10.1007/978-3-319-23540-0_4},
      doi = {10.1007/978-3-319-23540-0_4},
      series = {Lecture Notes in Computer Science},
      volume = {9310},
      publisher = {Springer},
      isbn = {978-3-319-23539-4}
    }
    
  31. The Complexity of MAP Inference in Bayesian Networks Specified Through Logical Languages, D. D. Mauá, C. P. de Campos, and F. G. Cozman. In Proceedings of the 24th International Joint Conference on Artificial Intelligence, pp. 889–895, 2015.
    @inproceedings{maua2015ijcai,
      author = {Mau\'a, Denis Deratani and de Campos, Cassio Polpo and Cozman, Fabio Gagliardi},
      title = {The Complexity of MAP Inference in Bayesian Networks Specified Through Logical Languages},
      booktitle = {Proceedings of the 24th International Joint Conference on Artificial Intelligence},
      pages = {889--895},
      year = {2015},
      url = {http://ijcai.org/papers15/Papers/IJCAI15-130.pdf},
      selected = {1}
    }
    
  32. On the Complexity of Propositional and Relational Credal Networks, F. G. Cozman and D. D. Mauá. In Proceedings of the Ninth International Symposium on Imprecise Probability: Theories and Applications, pp. 97–105, 2015.
    @inproceedings{cozman2015isipta,
      author = {Cozman, Fabio Gagliardi and Mau\'a, Denis Deratani},
      title = {On the Complexity of Propositional and Relational Credal Networks},
      booktitle = {Proceedings of the Ninth International Symposium on Imprecise Probability: Theories and Applications},
      pages = {97--105},
      year = {2015},
      url = {http://www.sipta.org/isipta15/data/paper/1.pdf}
    }
    
  33. A Tractable Class of Model Counting Problems, D. D. Mauá and F. G. Cozman. In Anais do XII Encontro Nacional de Inteligência Artificial e Computacional, pp. 81–88, 2015.
    @inproceedings{maua2015eniac,
      author = {Mau\'a, Denis Deratani and Cozman, Fabio Gagliardi},
      title = {A Tractable Class of Model Counting Problems},
      booktitle = {Anais do {XII} Encontro Nacional de Intelig\^encia Artificial e Computacional},
      series = {ENIAC},
      year = {2015},
      pages = {81--88},
      url = {http://www.lbd.dcc.ufmg.br/colecoes/eniac/2015/013.pdf},
      selected = {1}
    }
    
  34. Specifying Probabilistic Relational Models with Description Logics, F. G. Cozman and D. D. Mauá. In Anais do XII Encontro Nacional de Inteligência Artificial e Computacional, pp. 101–108, 2015.
    @inproceedings{cozman2015eniac,
      author = {Cozman, Fabio Gagliardi and Mau\'a, Denis Deratani},
      title = {Specifying Probabilistic Relational Models with Description Logics},
      booktitle = {Anais do {XII} Encontro Nacional de Intelig\^encia Artificial e Computacional},
      series = {ENIAC},
      year = {2015},
      pages = {101--108},
      url = {http://www.lbd.dcc.ufmg.br/colecoes/eniac/2015/016.pdf}
    }
    
  35. Bayesian Networks of Bounded Treewith: A Performance Analysis, F. H. S. Machado, F. G. Cozman, and D. D. Mauá. In Anais do XII Encontro Nacional de Inteligência Artificial e Computacional, pp. 285–292, 2015.
    @inproceedings{machado2015eniac,
      author = {H.~S.~Machado, Fabio and Cozman, Fabio Gagliardi and Mau\'a, Denis Deratani},
      title = {Bayesian Networks of Bounded Treewith: A Performance Analysis},
      booktitle = {Anais do {XII} Encontro Nacional de Intelig\^encia Artificial e Computacional},
      series = {ENIAC},
      year = {2015},
      pages = {285--292},
      url = {http://www.lbd.dcc.ufmg.br/colecoes/eniac/2015/042.pdf}
    }
    
  36. Probabilistic Inference in Credal Networks: New Complexity Results, D. D. Mauá, C. P. de Campos, A. Benavoli, and A. Antonucci. In Journal of Artificial Intelligence Research, vol. 50 pp. 603–637, 2014.
    @article{mauaCBA14jair,
      author = {Mau\'a, Denis Deratani and de Campos, Cassio Polpo and Benavoli, Alessio and Antonucci, Alessandro},
      title = {Probabilistic Inference in Credal Networks: New
                       Complexity Results},
      journal = {Journal of Artificial Intelligence Research},
      year = {2014},
      volume = {50},
      pages = {603--637},
      doi = {10.1613/jair.4355},
      selected = {1}
    }
    
  37. Algorithms for Hidden Markov Models With Imprecisely Specified Parameters, D. D. Mauá, C. P. de Campos, and A. Antonucci. In Proccedings of the 2014 Brazilian Conference on Intelligent Systems, pp. 186–191, 2014.
    @inproceedings{maua2014bracis,
      author = {Mau\'a, Denis Deratani and de Campos, Cassio Polpo and Antonucci, Alessandro},
      title = {Algorithms for Hidden {M}arkov Models With Imprecisely
                       Specified Parameters},
      booktitle = {Proccedings of the 2014 Brazilian Conference on
                       Intelligent Systems},
      pages = {186--191},
      doi = {10.1109/BRACIS.2014.42},
      url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6984828},
      year = {2014}
    }
    
  38. Equivalences between Maximum a Posteriori Inference in Bayesian Networks and Maximum Expected Utility Computation in Influence Diagrams, D. D. Mauá. In Proceedings of the 7th European Workshop on Probabilistic Graphical Models, pp. 318–333, 2014.
    @inproceedings{maua2014pgm-a,
      author = {Mau\'a, Denis Deratani},
      title = {Equivalences between Maximum a Posteriori Inference in
                       Bayesian Networks and Maximum Expected Utility
                       Computation in Influence Diagrams},
      booktitle = {Proceedings of the 7th European Workshop
                       on Probabilistic Graphical Models},
      series = {PGM},
      year = {2014},
      pages = {318--333},
      doi = {10.1007/978-3-319-11433-0_21}
    }
    
  39. Speeding Up k-Neighborhood Local Search in Limited Memory Influence Diagrams, D. D. Mauá and F. G. Cozman. In Proceedings of the 7th European Workshop on Probabilistic Graphical Models, pp. 334–349, 2014.
    @inproceedings{maua2014pgm-b,
      author = {Mau\'a, Denis Deratani and Cozman, Fabio Gagliardi},
      title = {Speeding Up k-Neighborhood Local Search in Limited
                       Memory Influence Diagrams},
      booktitle = {Proceedings of the 7th European Workshop
                       on Probabilistic Graphical Models},
      series = {PGM},
      year = {2014},
      pages = {334--349},
      doi = {10.1007/978-3-319-11433-0_22}
    }
    
  40. Trading off Speed and Accuracy in Multilabel Classification, G. Corani, A. Antonucci, D. D. Mauá, and S. Gabaglio. In Proceedings of the 7th European Workshop on Probabilistic Graphical Models, pp. 145–159, 2014.
    @inproceedings{corani2014pgm,
      title = {Trading off {S}peed and {A}ccuracy in {M}ultilabel
                       {C}lassification},
      journal = {Proceedings of the 7th European Workshop on Probabilistic Graphical
                       Models},
      editor = {van der Gaag, L. and Feelders, A.},
      publisher = {Springer},
      series = {Lecture Notes in Artificial Intelligence},
      booktitle = {Proceedings of the Seventh European Workshop
                       on Probabilistic Graphical Models},
      author = {Corani, Giorgio and Antonucci, Alessandro and Mau\'a, Denis Deratani and Gabaglio, Sandra},
      pages = {145--159},
      year = {2014},
      doi = {10.1007/978-3-319-11433-0_10}
    }
    
  41. Advances in Learning Bayesian Networks of Bounded Treewidth, in Advances in Neural Information Processing Systems 27, Z. Ghahramani, M. Welling, C. Cortes, N. D. Lawrence, and K. Q. Weinberger, Eds. Curran Associates, Inc., 2014, pp. 2285–2293.
    @incollection{nie2014nips,
      title = {Advances in Learning Bayesian Networks of Bounded
                       Treewidth},
      author = {Nie, Siqi and Mau\'a, Denis Deratani and de Campos, Cassio Polpo and Ji, Qiang},
      booktitle = {Advances in Neural Information Processing Systems 27},
      editor = {Ghahramani, Z. and Welling, M. and Cortes, C. and Lawrence, N. D. and Weinberger, K. Q.},
      pages = {2285--2293},
      year = {2014},
      publisher = {Curran Associates, Inc.},
      url = {http://papers.nips.cc/paper/5530-advances-in-learning-bayesian-networks-of-bounded-treewidth.pdf},
      selected = {1}
    }
    
  42. Advances in Learning Bayesian Networks of Bounded Treewidth, S. Nie, D. D. Mauá, C. P. de Campos, and Q. Ji. 2014.
    @techreport{nie2014arxiv,
      author = {Nie, Siqi and Mau{\'{a}}, Denis Deratani and de Campos, Cassio Polpo and Ji, Qiang},
      title = {Advances in Learning Bayesian Networks of Bounded Treewidth},
      note = {CoRR abs/1406.1411},
      year = {2014},
      url = {http://arxiv.org/abs/1406.1411}
    }
    
  43. Algorithms and Complexity Results for Discrete Probabilistic Reasoning Tasks, PhD thesis, Università della Svizzera italiana, 2013.
    @phdthesis{maua2013,
      title = {Algorithms and Complexity Results for Discrete
                       Probabilistic Reasoning Tasks},
      author = {Mau\'a, Denis Deratani},
      year = {2013},
      institution = {Universit\`a della Svizzera italiana},
      url = {http://doc.rero.ch/record/203103?ln=en}
    }
    
  44. On the complexity of solving polytree-shaped limited memory influence diagrams with binary variables, D. D. Mauá, C. P. de Campos, and M. Zaffalon. In Artificial Intelligence, vol. 205, no., 0 pp. 30–38, 2013.
    @article{maua2013ai,
      title = {On the complexity of solving polytree-shaped limited
                       memory influence diagrams with binary variables},
      journal = {Artificial Intelligence},
      author = {Mau\'a, Denis Deratani and de Campos, Cassio Polpo and Zaffalon, Marco},
      year = {2013},
      volume = {205},
      number = {0},
      pages = {30--38},
      issn = {0004-3702},
      doi = {10.1016/j.artint.2013.10.002},
      url = {http://ipg.idsia.ch/preprints/maua2013b.pdf},
      selected = {1}
    }
    
  45. An Ensemble of Bayesian Networks for Multilabel Classification, A. Antonucci, G. Corani, D. D. Mauá, and S. Gabaglio. In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), pp. 1220–1225, 2013.
    @inproceedings{antonucci2013ijcai,
      title = {An Ensemble of {B}ayesian Networks for Multilabel
                       Classification},
      booktitle = {Proceedings of the 23rd International Joint Conference
                       on Artificial Intelligence ({IJCAI})},
      author = {Antonucci, Alessandro and Corani, Giorgio and Mau\'a, Denis Deratani and Gabaglio, Sandra},
      url = {http://ijcai.org/papers13/Papers/IJCAI13-184.pdf},
      pages = {1220--1225},
      year = {2013},
      selected = {1}
    }
    
  46. On the Complexity of Strong and Epistemic Credal Networks, D. D. Mauá, C. P. de Campos, A. Benavoli, and A. Antonucci. In Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence (UAI), pp. 391–400, 2013.
    @inproceedings{maua2013uai,
      author = {Mau\'a, Denis Deratani and de Campos, Cassio Polpo and Benavoli, Alessio and Antonucci, Alessandro},
      title = {On the Complexity of Strong and Epistemic Credal
                       Networks},
      booktitle = {Proceedings of the 29th Conference on Uncertainty in
                       Artificial Intelligence ({UAI})},
      keywords = {creal networks, probabilistic graphical models,
                       complexity theory, bayesian networks, imprecise
                       probabilities},
      year = {2013},
      url = {http://arxiv.org/pdf/1309.6845},
      pages = {391--400},
      selected = {1}
    }
    
  47. The Complexity of Approximately Solving Influence Diagrams, D. D. Mauá, C. P. de Campos, and M. Zaffalon. In Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence (UAI), pp. 604–613, 2012.
    @inproceedings{maua2012uai,
      author = {Mau\'a, Denis Deratani and de Campos, Cassio Polpo and Zaffalon, Marco},
      booktitle = {Proceedings of the 28th Conference on Uncertainty in
                       Artificial Intelligence (UAI)},
      keywords = {decision networks,influence diagrams,combinatorial
                       optimization,bayesian networks},
      pages = {604--613},
      title = {The Complexity of Approximately Solving Influence
                       Diagrams},
      url = {http://www.auai.org/uai2012/papers/166.pdf},
      year = {2012},
      selected = {1}
    }
    
  48. Anytime Marginal MAP Inference, D. D. Mauá and C. P. de Campos. In Proceedings of the 28th International Conference on Machine Learning (ICML), pp. 1471–1478, 2012.
    @inproceedings{maua2012icml,
      author = {Mau\'a, Denis Deratani and de Campos, Cassio Polpo},
      booktitle = {Proceedings of the 28th International Conference on
                       Machine Learning (ICML)},
      keywords = {probability theory,map inference, discrete
                       inference,combinatorial optimization,bayesian
                       networks},
      title = {Anytime Marginal {MAP} Inference},
      pages = {1471--1478},
      url = {http://icml.cc/2012/papers/728.pdf},
      year = {2012},
      selected = {1}
    }
    
  49. Evaluating credal classifiers by utility-discounted predictive accuracy, M. Zaffalon, G. Corani, and D. D. Mauá. In International Journal of Approximate Reasoning, vol. 53, no., 8 pp. 1282–1301, 2012.
    @article{zaffalon2012ijar,
      author = {Zaffalon, Marco and Corani, Giorgio and Mau\'a, Denis Deratani},
      title = {Evaluating credal classifiers by utility-discounted
                       predictive accuracy},
      journal = {International Journal of Approximate Reasoning},
      volume = {53},
      number = {8},
      pages = {1282--1301},
      year = {2012},
      issn = {0888-613X},
      doi = {10.1016/j.ijar.2012.06.022},
      url = {http://www.sciencedirect.com/science/article/pii/S0888613X12000989?v=s5},
      selected = {1}
    }
    
  50. Updating Credal Networks is Approximable in Polynomial Time, D. D. Mauá, C. P. de Campos, and M. Zaffalon. In International Journal of Approximate Reasoning, vol. 53, no., 8 pp. 1183–1199, 2012.
    @article{maua2012ijar,
      author = {Mau\'a, Denis Deratani and de Campos, Cassio Polpo and Zaffalon, Marco},
      title = {Updating Credal Networks is Approximable in Polynomial
                       Time},
      journal = {International Journal of Approximate Reasoning},
      volume = {53},
      number = {8},
      pages = {1183--1199},
      year = {2012},
      issn = {0888-613X},
      doi = {10.1016/j.ijar.2012.06.014},
      url = {http://www.sciencedirect.com/science/article/pii/S0888613X12000904?v=s5},
      selected = {1}
    }
    
  51. Solving Limited Memory Influence Diagrams, D. D. Mauá, C. P. de Campos, and M. Zaffalon. In Journal of Artificial Intelligence Research, vol. 44 pp. 97–140, 2012.
    @article{maua2012jair,
      author = {Mau\'a, Denis Deratani and de Campos, Cassio Polpo and Zaffalon, Marcos},
      journal = {Journal of Artificial Intelligence Research},
      keywords = {decision making, influence diagrams},
      pages = {97--140},
      title = {Solving Limited Memory Influence Diagrams},
      url = {http://www.jair.org/media/3625/live-3625-6282-jair.pdf},
      volume = {44},
      year = {2012},
      selected = {1}
    }