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Artur S. d'Avila Garcez: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Artur S. d'Avila Garcez, Dov M. Gabbay
    Fibring Neural Networks. [Citation Graph (0, 0)][DBLP]
    AAAI, 2004, pp:342-347 [Conf]
  2. Artur S. d'Avila Garcez, Luís C. Lamb
    Neural-Symbolic Systems and the Case for Non-Classical Reasoning. [Citation Graph (0, 0)][DBLP]
    We Will Show Them! (1), 2005, pp:469-488 [Conf]
  3. Artur S. d'Avila Garcez
    Fewer Epistemological Challenges for Connectionism. [Citation Graph (0, 0)][DBLP]
    CiE, 2005, pp:139-149 [Conf]
  4. Artur S. d'Avila Garcez, Dov M. Gabbay, Luís C. Lamb
    Towards a Connectionist Argumentation Framework. [Citation Graph (0, 0)][DBLP]
    ECAI, 2004, pp:987-988 [Conf]
  5. Sebastian Bader, Artur S. d'Avila Garcez, Pascal Hitzler
    Computing First-Order Logic Programs by Fibring Artificial Neural Networks. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2005, pp:314-319 [Conf]
  6. Artur S. d'Avila Garcez, Luís C. Lamb, Krysia Broda, Dov M. Gabbay
    Distributed Knowledge Representation in Neural-Symbolic Learning Systems: A Case Study. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2003, pp:271-275 [Conf]
  7. Artur S. d'Avila Garcez, Luís C. Lamb, Dov M. Gabbay
    Neural-Symbolic Intuitionistic Reasoning. [Citation Graph (0, 0)][DBLP]
    HIS, 2003, pp:399-408 [Conf]
  8. Rafael V. Borges, Luís C. Lamb, Artur S. d'Avila Garcez
    Combining Architectures for Temporal Learning in Neural-Symbolic Systems. [Citation Graph (0, 0)][DBLP]
    HIS, 2006, pp:46- [Conf]
  9. Raphael V. Carneiro, Stiven S. Dias, Dijalma Fardin, Hallysson Oliveira, Artur S. d'Avila Garcez, Alberto F. De Souza
    Improving VG-RAM Neural Networks Performance Using Knowledge Correlation. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:427-436 [Conf]
  10. Rodrigo Basilio, Gerson Zaverucha, Artur S. d'Avila Garcez
    Inducing Relational Concepts with Neural Networks via the LINUS System. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:1507-1510 [Conf]
  11. Artur S. d'Avila Garcez, Dov M. Gabbay, Luís C. Lamb
    Argumentation Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:606-612 [Conf]
  12. Artur S. d'Avila Garcez, Alessandra Russo, Bashar Nuseibeh, Jeff Kramer
    An Analysis-Revision Cycle to Evolve Requirements Specifications. [Citation Graph (0, 0)][DBLP]
    ASE, 2001, pp:354-358 [Conf]
  13. Artur S. d'Avila Garcez, Luís C. Lamb
    Reasoning about Time and Knowledge in Neural Symbolic Learning Systems. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  14. Artur S. d'Avila Garcez, Luís C. Lamb, Dov M. Gabbay
    A Connectionist Model for Constructive Modal Reasoning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  15. Odinaldo Rodrigues, Artur S. d'Avila Garcez, Alessandra Russo
    Reasoning About Requirements Evolution Using Clustered Belief Revision. [Citation Graph (0, 0)][DBLP]
    SBIA, 2004, pp:41-51 [Conf]
  16. George Spanoudakis, Artur S. d'Avila Garcez, Andrea Zisman
    Revising Rules to Capture Requirements Traceability Relations: A Machine Learning Approach. [Citation Graph (0, 0)][DBLP]
    SEKE, 2003, pp:570-577 [Conf]
  17. Artur S. d'Avila Garcez, Krysia Broda, Dov M. Gabbay
    Symbolic knowledge extraction from trained neural networks: A sound approach. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2001, v:125, n:1-2, pp:155-207 [Journal]
  18. Artur S. d'Avila Garcez, Gerson Zaverucha
    The Connectionist Inductive Learning and Logic Programming System. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 1999, v:11, n:1, pp:59-77 [Journal]
  19. Artur S. d'Avila Garcez, Alessandra Russo, Bashar Nuseibeh, Jeff Kramer
    Combining abductive reasoning and inductive learning to evolve requirements specifications. [Citation Graph (0, 0)][DBLP]
    IEE Proceedings - Software, 2003, v:150, n:1, pp:25-38 [Journal]
  20. Artur S. d'Avila Garcez, Luís C. Lamb, Krysia Broda, Dov M. Gabbay
    Applying connectionist modal logics to distributed knowledge representation problems. [Citation Graph (0, 0)][DBLP]
    International Journal on Artificial Intelligence Tools, 2004, v:13, n:1, pp:115-139 [Journal]
  21. Artur S. d'Avila Garcez, Dov M. Gabbay, Steffen Hölldobler, John G. Taylor
    Journal of Applied Logic Special Volume on Neural-Symbolic Systems. [Citation Graph (0, 0)][DBLP]
    J. Applied Logic, 2004, v:2, n:3, pp:241-243 [Journal]
  22. Artur S. d'Avila Garcez, Dov M. Gabbay, Luís C. Lamb
    Value-based Argumentation Frameworks as Neural-symbolic Learning Systems. [Citation Graph (0, 0)][DBLP]
    J. Log. Comput., 2005, v:15, n:6, pp:1041-1058 [Journal]
  23. Artur S. d'Avila Garcez, Luís C. Lamb
    A Connectionist Computational Model for Epistemic and Temporal Reasoning. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2006, v:18, n:7, pp:1711-1738 [Journal]
  24. Artur S. d'Avila Garcez, Luís C. Lamb, Dov M. Gabbay
    Connectionist computations of intuitionistic reasoning. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2006, v:358, n:1, pp:34-55 [Journal]
  25. Artur S. d'Avila Garcez, Luís C. Lamb, Dov M. Gabbay
    Connectionist modal logic: Representing modalities in neural networks. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2007, v:371, n:1-2, pp:34-53 [Journal]
  26. Luís C. Lamb, Rafael V. Borges, Artur S. d'Avila Garcez
    A Connectionist Cognitive Model for Temporal Synchronisation and Learning. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:827-832 [Conf]

  27. Representing, Learning and Extracting Temporal Knowledge from Neural Networks: A Case Study. [Citation Graph (, )][DBLP]


  28. Neuro-symbolic Representation of Logic Programs Defining Infinite Sets. [Citation Graph (, )][DBLP]


  29. Symbolic Knowledge Extraction from Support Vector Machines: A Geometric Approach. [Citation Graph (, )][DBLP]


  30. Towards Reasoning about the Past in Neural-symbolic Systems. [Citation Graph (, )][DBLP]


  31. Editorial. [Citation Graph (, )][DBLP]


  32. Reasoning and Learning About Past Temporal Knowledge in Connectionist Models. [Citation Graph (, )][DBLP]


  33. Integrating model verification and self-adaptation. [Citation Graph (, )][DBLP]


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