conferences

[1]	Arnaud Nguembang Fadja, Fabrizio Riguzzi, and Evelina Lamma. Expectation maximization in deep probabilistic logic programming. In Chiara Ghidini, Bernardo Magnini, and Andrea Passerini, editors, Proceedings of the 17th Conference of the Italian Association for Artificial Intelligence (AIIA2018), Trento, Italy, 20-23 November, 2018, volume 11298 of Lecture Notes in Computer Science*, pages 293-306, Heidelberg, Germany, 2018. © Springer, Springer. [ bib \| DOI \| .pdf ]
[2]	Giuseppe Cota, Fabrizio Riguzzi, Riccardo Zese, Elena Bellodi, and Evelina Lamma. A modular inference system for probabilistic description logics. In Davide Ciucci, Gabriella Pasi, and Barbara Vantaggi, editors, Scalable Uncertainty Management 12th International Conference, SUM 2018, Milan, Italy, October 3-5, 2018, Proceedings, volume 11142 of Lecture Notes in Computer Science, pages 78-92, Heidelberg, Germany, 2018. © Springer, Springer. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-030-00461-3_6. [ bib \| DOI \| .pdf ]
[3]	Arnaud Nguembang Fadja and Fabrizio Riguzzi. Lifted discriminative learning of probabilistic logic programs. In Nicolas Lachiche and Christel Vrain, editors, 27th International Conference on Inductive Logic Programming, ILP 2017, 2017. [ bib \| .pdf ]
[4]	Marco Alberti, Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, and Zese Riccardo. Dischargeable obligations in abductive logic programming. In Stefania Costantini, Enrico Franconi, William Van Woensel, Roman Kontchakov, Fariba Sadri, and Dumitru Roman, editors, Rules and Reasoning: International Joint Conference, RuleML+RR 2017, London, UK, July 12-15, 2017, Proceedings, volume 10364 of Lecture Notes in Computer Science, pages 7-21, Cham, 2017. © Springer International Publishing AG, Springer International Publishing. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-61252-2_2. [ bib \| DOI \| .pdf ]
[5]	Fabrizio Riguzzi, Riccardo Zese, and Giuseppe Cota. Probabilistic inductive logic programming on the web. In 20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016; Bologna; Italy; 19 November 2016 through 23 November 2016, volume 10180 of Lecture Notes in Computer Science, pages 172-175. Springer, Cham, © Springer International Publishing AG, 2017. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-58694-6_25. [ bib \| DOI \| .pdf ]
[6]	Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, Elena Bellodi, Zese Riccardo, and Giuseppe Cota. Abductive logic programming for normative reasoning and ontologies. In Mihoko Otake, Setsuya Kurahashi, Yuiko Ota, Ken Satoh, and Daisuke Bekki, editors, New Frontiers in Artificial Intelligence: JSAI-isAI 2015 Workshops, LENLS, JURISIN, AAA, HAT-MASH, TSDAA, ASD-HR, and SKL, Kanagawa, Japan, November 16-18, 2015, Revised Selected Papers, volume 10091 of Lecture Notes in Computer Science, pages 187-203, Cham, 2017. © Springer International Publishing AG, Springer International Publishing. [ bib \| DOI ]
[7]	Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, Giuseppe Cota, and Evelina Lamma. Scaling structure learning of probabilistic logic programs by mapreduce. In Maria Fox and Gal Kaminka, editors, 22nd European Conference on Artificial Intelligence ECAI 2016, volume 285 of Frontiers in Artificial Intelligence and Applications, pages 1602-1603. IOS Press, © CC-BY-NC 4.0, 2016. [ bib \| DOI \| http ]
[8]	Marco Alberti, Giuseppe Cota, Fabrizio Riguzzi, and Riccardo Zese. Probabilistic logical inference on the web. In Giovanni Adorni, Stefano Cagnoni, Marco Gori, and Marco Maratea, editors, Proceedings of the 15th Conference of the Italian Association for Artificial Intelligence (AIIA2016), Genova, Italy, 28 November - 1 December 2016, volume 10037 of Lecture Notes in Computer Science*, pages 351-363, Heidelberg, Germany, 2016. © Springer International Publishing AG, Springer International Publishing. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-49130-1_26. [ bib \| DOI \| .pdf ]
[9]	Marco Alberti, Evelina Lamma, Fabrizio Riguzzi, and Riccardo Zese. Probabilistic hybrid knowledge bases under the distribution semantics. In Giovanni Adorni, Stefano Cagnoni, Marco Gori, and Marco Maratea, editors, Proceedings of the 15th Conference of the Italian Association for Artificial Intelligence (AIIA2016), Genova, Italy, 28 November - 1 December 2016, volume 10037 of Lecture Notes in Computer Science*, pages 364-376, Heidelberg, Germany, 2016. © Springer International Publishing AG, Springer International Publishing. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-49130-1_27. [ bib \| DOI \| .pdf ]
[10]	Giuseppe Cota, Riccardo Zese, Elena Bellodi, Fabrizio Riguzzi, and Evelina Lamma. Distributed parameter learning for probabilistic ontologies. In Katsumi Inoue, Hayato Ohwada, and Akihiro Yamamoto, editors, Inductive Logic Programming: 25th International Conference, ILP 2015, Kyoto, Japan, August 20-22, 2015, Revised Selected Papers, volume 9575 of Lecture Notes in Computer Science, pages 30-45, Heidelberg, Germany, 2016. © Springer International Publishing Switzerland, Springer International Publishing. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-40566-7_3. [ bib \| DOI \| .pdf ]
[11]	Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, and Giuseppe Cota. An abductive framework for Datalog+- ontologies. In Marina De Vos, Thomas Eiter, Yuliya Lierler, and Francesca Toni, editors, Technical Communications of the 31st Int'l. Conference on Logic Programming (ICLP 2015), number 1433 in CEUR Workshop Proceedings, Aachen, Germany, 2015. © by the authors, Sun SITE Central Europe. [ bib \| .pdf ]
[12]	Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, and Riccardo Zese. Reasoning with probabilistic ontologies. In Qiang Yang and Michael Wooldridge, editors, Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, Buenos Aires, Argentina, 25-31 July 2015, pages 4310-4316, Palo Alto, California USA, 2015. © International Joint Conferences on Artificial Intelligence, AAAI Press / International Joint Conferences on Artificial Intelligence. [ bib \| .pdf ]
[13]	Fabrizio Riguzzi and Terrance Swift. The PITA system for logical-probabilistic inference. In Stephen H. Muggleton and Hiroaki Watanabe, editors, Latest Advances in Inductive Logic Programming, Inductive Logic Programming, 21th International Conference, ILP 2011, Late Breaking papers, London, UK, 31 July-3 August, 2011, pages 79-86, Longon, UK, 2014. © World Scientific, World Scientific. [ bib \| DOI \| .pdf ]
[14]	Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, and Riccardo Zese. Learning the parameters of probabilistic description logics. In Gerson Zaverucha, Vitor Santos Costa, and Aline Marins Paes, editors, Late Breaking papers of the 23rd International Conference on Inductive Logic Programming, Rio de Janeiro, Brazil, August 28th to 30th, 2013, volume 1187 of CEUR Workshop Proceedings, pages 46-51, Aachen, Germany, 2014. © by the authors, Sun SITE Central Europe. [ bib \| .pdf ]
[15]	Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, and Riccardo Zese. Computing instantiated explanations in OWL DL. In Matteo Baldoni, Cristina Baroglio, and Guido Boella, editors, Proceedings of the 13th Conference of the Italian Association for Artificial Intelligence (AIIA2013), Turin, Italy, 4-6 December 2013, volume 8249 of Lecture Notes in Artificial Intelligence*, pages 397-408, Heidelberg, Germany, 2013. © Springer, Springer. The original publication is available at http://link.springer.com. [ bib \| DOI \| .pdf ]
[16]	Fabrizio Riguzzi, Evelina Lamma, Elena Bellodi, and Riccardo Zese. BUNDLE: A reasoner for probabilistic ontologies. In Wolfgang Faber and Domenico Lembo, editors, 7th International Conference on Web Reasoning and Rule Systems (RR 2013), Mannheim, Germany, July 27-29 2013. Proceedings, volume 7994 of Lecture Notes in Computer Science, pages 183-197, Heidelberg, Germany, 2013. © Springer, Springer. The original publication is available at http://link.springer.com. [ bib \| DOI \| .pdf ]
[17]	Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, and Riccardo Zese. Parameter learning for probabilistic ontologies. In Wolfgang Faber and Domenico Lembo, editors, 7th International Conference on Web Reasoning and Rule Systems (RR 2013), Mannheim, Germany, July 27-29 2013. Proceedings, volume 7994 of Lecture Notes in Computer Science, pages 265-270, Heidelberg, Germany, 2013. © Springer, Springer. The original publication is available at http://link.springer.com. [ bib \| DOI \| .pdf ]
[18]	Marco Gavanelli, Fabrizio Riguzzi, Michela Milano, and Paolo Cagnoli. Constraint and optimization techniques for supporting policy making. In International Symposium on Artificial Intelligence and Mathematics (ISAIM 2012), Fort Lauderdale, Florida, USA, January 9-11, 2012, 2012. [ bib \| .pdf ]
[19]	Elena Bellodi and Fabrizio Riguzzi. Learning the structure of probabilistic logic programs. In Stephen H. Muggleton, Alireza Tamaddoni-Nezhad, and Francesca A. Lisi, editors, Inductive Logic Programming 21st International Conference, ILP 2011, London, UK, July 31 - August 3, 2011. Revised Papers, volume 7207 of LNCS, pages 61-75, Heidelberg, Germany, 2012. © Springer, Springer. The original publication is available at http://www.springerlink.com. [ bib \| DOI \| .pdf ]
[20]	Marco Gavanelli, Fabrizio Riguzzi, Michela Milano, Davide Sottara, Alessandro Cangini, and Paolo Cagnoli. An application of fuzzy logic to strategic environmental assessment. In Roberto Pirrone and Filippo Sorbello, editors, Proceedings of the 12th Congress of the Italian Association for Artificial Intelligence, Palermo, 15-17 September 2011, volume 6934 of Lecture Notes in Artificial Intelligence, pages 324-335, Heidelberg, Germany, 2011. © Springer, Springer. The original publication is available at http://www.springerlink.com. [ bib \| DOI \| http \| .pdf ]
[21]	Stefano Bragaglia and Fabrizio Riguzzi. Approximate inference for logic programs with annotated disjunctions. In Paolo Frasconi and Francesca Lisi, editors, Inductive Logic Programming 20th International Conference, ILP 2010, Florence, Italy, June 27-30, 2010. Revised Papers, volume 6489 of LNCS, pages 30-37, Heidelberg, Germany, 2011. © Springer, Springer. The original publication is available at http://www.springerlink.com. [ bib \| DOI \| .pdf \| http ]
[22]	Fabrizio Riguzzi and Terrance Swift. Tabling and Answer Subsumption for Reasoning on Logic Programs with Annotated Disjunctions. In M. Hermenegildo and T. Schaub, editors, Technical Communications of the 26th Int'l. Conference on Logic Programming (ICLP'10), volume 7 of Leibniz International Proceedings in Informatics (LIPIcs), pages 162-171, Dagstuhl, Germany, July 2010. License Creative Commons Attribution-Noncommercial-No Derivative Works 3.0, Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik. [ bib \| DOI \| http ]
[23]	Elena Bellodi, Fabrizio Riguzzi, and Evelina Lamma. Probabilistic declarative process mining. In Yaxin Bi and Mary-Anne Williams, editors, Proceedings of the 4th International Conference on Knowledge Science, Engineering & Management (KSEM 2010), Belfast, UK, September 1-3, 2010, volume 6291 of Lecture Notes in Computer Science, pages 292-303, Heidelberg, Germany, 2010. © Springer, Springer. The original publication is available at http://www.springerlink.com. [ bib \| DOI \| .pdf \| http ]
[24]	Fabrizio Riguzzi. Inference with logic programs with annotated disjunctions under the well founded semantics. In Logic Programming, 24th International Conference, ICLP 2008, Udine, Italy, December 9-13, 2008, Proceedings, volume 5366 of Lecture Notes in Computer Science, pages 667-771, Heidelberg, Germany, 2008. © Springer, Springer. The original publication is available at http://www.springerlink.com. [ bib \| DOI \| http \| .pdf ]
[25]	Evelina Lamma, Paola Mello, Fabrizio Riguzzi, and Sergio Storari. Applying inductive logic programming to process mining. In Proceedings of the 17th International Conference on Inductive Logic Programming, volume 4894 of Lecture Notes in Artificial Intelligence, pages 132-146, Heidelberg, Germany, 2008. © Springer, Springer. The original publication is available at http://www.springerlink.com. [ bib \| DOI \| http \| .pdf ]
[26]	Fabrizio Riguzzi. ALLPAD: Approximate learning of logic programs with annotated disjunctions. In Stephen Muggleton and Ramon Otero, editors, Proceedings of the 16th International Conference on Inductive Logic Programming, volume 4455 of Lecture Notes in Artificial Intelligence, pages 43-45, Heidelberg, Germany, 2007. © Springer, Springer. The original publication is available at http://www.springerlink.com. [ bib \| DOI \| http \| .pdf ]
[27]	Evelina Lamma, Paola Mello, Marco Montali, Fabrizio Riguzzi, and Sergio Storari. Inducing declarative logic-based models from labeled traces. In Proceedings of the 5th International Conference on Business Process Management, volume 4714 of Lecture Notes in Computer Science, pages 344-359, Heidelberg, Germany, 2007. © Springer, Springer. The original publication is available at http://www.springerlink.com. [ bib \| DOI \| http \| .pdf ]
[28]	Fabrizio Riguzzi. A top down interpreter for LPAD and CP-logic. In Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence, volume 4733 of Lecture Notes in Artificial Intelligence, pages 109-120, Heidelberg, Germany, 2007. © Springer, Springer. The original publication is available at http://www.springerlink.com. [ bib \| DOI \| http \| .pdf ]
[29]	Giacomo Gamberoni, Evelina Lamma, Fabrizio Riguzzi, Sergio Storari, and Stefano Volinia. Bayesian networks learning for gene expression datasets. In Advances in Intelligent Data Analysis VI: 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005. Proceedings, volume 3646 of Lecture Notes in Computer Science, pages 109-120, Heidelberg, Germany, September 2005. © Springer, Springer Verlag. The original publication is available at http://www.springerlink.com. [ bib \| DOI \| http \| .pdf ]
[30]	Fabrizio Riguzzi. Learning logic programs with annotated disjunctions. In A Srinivasan and R. King, editors, Inductive Logic Programming: 14th International Conference, ILP 2004, Porto, Portugal, September 6-8, 2004. Proceedings, volume 3194 of Lecture Notes in Artificial Intelligence, pages 270-287, Heidelberg, Germany, September 2004. © Springer, Springer Verlag. The original publication is available at http://www.springerlink.com. [ bib \| DOI \| http \| .pdf ]
[31]	Evelina Lamma, Fabrizio Riguzzi, and Sergio Storari. Exploiting association and correlation rules parameters for improving the k2 algorithm. In Ramon Lopez de Mantaras and Lorenza Saitta, editors, Proceedings of the 16th Eureopean Conference on Artificial Intelligence, ECAI 2004, including Prestigious Applicants of Intelligent Systems, PAIS 2004, Valencia, Spain, August 22-27, 2004, volume 110 of Frontiers in Artificial Intelligence and Applications, pages 500-504, Amsterdam, The Netherlands, August 2004. IOS Press. [ bib \| .pdf \| .pdf ]
[32]	Evelina Lamma, Fabrizio Riguzzi, and Sergio Storari. Improving the k2 algorithm using association rules parameters. In B. Bouchon-Meunier, G. Coletti, and R. R. Yager, editors, Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU2004), Perugia, 4-9 July 2004, pages 1667-1674, Rome, Italy, July 2004. Editrice Università La Sapienza. [ bib \| .pdf ]
[33]	Evelina Lamma, Fabrizio Riguzzi, Andrea Stambazzi, and Sergio Storari. Improving the SLA algorithm using association rules. In Amedeo Cappelli and Franco Turini, editors, AIIA 2003: Advances in Artificial Intelligence: 8th Congress of the Italian Association for Artificial Intelligence Pisa, Italy, September 23-26, 2003 Proceedings, volume 2829 of Lecture Notes on Artificial Intelligence*, pages 165-175, Heidelberg, Germany, September 2003. © Springer, Springer Verlag. The original publication is available at http://www.springerlink.com. [ bib \| DOI \| http \| .pdf ]
[34]	Evelina Lamma, Fabrizio Riguzzi, and Luís Moniz Pereira. Belief revision via Lamarckian evolution. In Claudio Delrieux, editor, Second International Workshop on Computational Models of Scientific Reasoning And Applications (II CMSRA) held at IC-AI 2002 Conference, Monte Carlo Resort, Las Vegas, Nevada, USA, June 27, 2002, pages 1-7, Bogart, Georgia, USA, June 2002. CSREA. [ bib \| .pdf \| .pdf ]
[35]	Evelina Lamma, Giuseppe Modestino, Fabrizio Riguzzi, Sergio Storari, Paola Mello, and Annamaria Nanetti. An intelligent medical system for microbiological data validation and nosocomial infection surveillance. In P. Kokol, B. Stiglic, M. Zorman, and D. Zazula, editors, The 15th International Conference on Computer Based Medical Systems (CBMS 2002), Maribor, Slovenia, 4-7 June 2002, pages 13-20, Los Alamitos, California, USA, June 2002. IEEE Press. [ bib \| DOI \| http \| .pdf ]
[36]	Evelina Lamma, Paola Mello, Annamaria Nanetti, Gianluca Poli, Fabrizio Riguzzi, and Sergio Storari. An expert system for microbiological data validation and surveillance. In J. Crespo and F. Maojo, V.and Martin, editors, Medical Data Analysis: Second International Symposium, ISMDA 2001 Madrid, Spain, October 8-9, 2001 Proceedings, volume 2199 of Lecture Notes on Computer Science, pages 153-160, Heidelberg, Germany, October 2001. © Springer, Springer Verlag. The original publication is available at http://www.springerlink.com. [ bib \| DOI \| http \| .pdf ]
[37]	Evelina Lamma, Fabrizio Riguzzi, and Luís Moniz Pereira. Belief revision by Lamarckian evolution. In E.J.W. Boers, J. Gottlieb, P.L. Lanzi, R.E. Smith, S. Cagnoni, E. Hart, G.R. Raidl, and H. Tijink, editors, Applications of Evolutionary Computing : EvoWorkshops 2001: EvoCOP, EvoFlight, EvoIASP, EvoLearn, and EvoSTIM, Como, Italy, April 18-20, 2001, Proceedings, volume 2037 of Lecture Notes on Computer Science, page 404–413, Heidelberg, Germany, April 2001. © Springer, Springer-Verlag. The original publication is available at http://www.springerlink.com. [ bib \| DOI \| http \| .pdf ]
[38]	Evelina Lamma, Marco Manservigi, Paola Mello, Roberto Serra, Sergio Storari, and Fabrizio Riguzzi. A system for monitoring nosocomial infections. In R. W. Brause and E. Hanisch, editors, Medical Data Analysis: First International Symposium, ISMDA 2000, Frankfurt, Germany, September 29-30, 2000. Proceedings, volume 1933 of Lecture Notes on Computer Science, pages 282-292, Heidelberg, Germany, September 2000. © Springer, Springer Verlag. The original publication is available at http://www.springerlink.com. [ bib \| DOI \| http \| .pdf ]
[39]	Michela Milano, Andrea Omicini, and Fabrizio Riguzzi. Adopting an object-oriented data model in inductive logic programming. In Amruth N. Kumar and Ingrid Russell, editors, Proceedings of the 12th International FLAIRS Conference (FLAIRS99), 3-5 May 1999, Orlando, Florida, USA, pages 273-279, Menlo Park, California, May 1999. AAAI. [ bib \| .pdf ]
[40]	Antonis Kakas, Evelina Lamma, and Fabrizio Riguzzi. Learning multiple predicates. In Artificial Intelligence: Methodology, Systems, and Applications: 8th International Conference, AIMSA'98, Sozopol, Bulgaria, September 21-23, 1998. Proceedings, volume 1480 of Lecture Notes on Artificial Intelligence, pages 303-316, Heidelberg, Germany, September 1998. © Springer, Springer Verlag. The original publication is available at http://www.springerlink.com. [ bib \| DOI \| http \| .pdf ]
[41]	Fabrizio Riguzzi. Integrating abduction and induction. In Henri Prade, editor, Proceedings of the 13th European Conference on Artificial Intelligence (ECAI98), Brighton, UK, August 23-28 1998, pages 475-476, Chichester, UK, August 1998. John Wiley and Sons. [ bib \| .pdf ]
[42]	Evelina Lamma, Paola Mello, Michela Milano, and Fabrizio Riguzzi. A system for abductive learning of logic programs. In J. Dix, L. M. Pereira, and T. Przymusinski, editors, Logic Programming and Knowledge Representation: Third International Workshop, LPKR'97, Port Jefferson, New York, USA, October 17, 1997. Selected Papers, volume 1471 of Lecture Notes on Computer Science, pages 102-122, Hidelberg, Germany, June 1998. © Springer, Springer Verlag. The original publication is available at http://www.springerlink.com. [ bib \| DOI \| http \| .pdf ]
[43]	Evelina Lamma, Paola Mello, and Fabrizio Riguzzi. A system for measuring function points. In Proceedings of the 6th International Conference on Practical Applications of Prolog and 4th International Conference on Practical Applications of Constraint Technology (PAPPACT98), London, March 1998, pages 41-60, London, UK, March 1998. The Practical Application Company Ltd. [ bib \| .pdf ]
[44]	Antonis C. Kakas and Fabrizio Riguzzi. Learning with abduction. In Inductive Logic Programming: 7th International Workshop, ILP-97 Prague, Czech Republic, September 17-20, 1997 Proceedings, volume 1297 of Lecture Notes on Artificial Intelligence, pages 181 - 188, Heidelberg, Germany, September 1997. © Springer, Springer Verlag. The original publication is available at http://www.springerlink.com. [ bib \| DOI \| http \| .pdf ]
[45]	Evelina Lamma, Paola Mello, Michela Milano, and Fabrizio Riguzzi. Introducing abduction into (extensional) inductive logic programming systems. In M. Lenzerini, editor, AIIA 97: Advances in Artificial Intelligence: 5th Congress of the Italian Association for Artificial Intelligence Rome, Italy, September 17-19, Proceedings, volume 1321 of Lecture Notes on Artificial Intelligence*, pages 183 - 194, Heidelberg, Germany, September 1997. © Springer, Springer Verlag. The original publication is available at http://www.springerlink.com. [ bib \| DOI \| http \| .pdf ]
[46]	Evelina Lamma, Paola Mello, Michela Milano, and Fabrizio Riguzzi. An algorithm for learning abductive rules. In Moreno Falaschi, Marisa Navarro, and Alberto Policriti, editors, Proceedings of the APPIA-GULP-PRODE 97 Joint Conference on Declarative Programming, Grado, Italy, 16-19 June 1997, pages 295-305. Dipartimento di Matematica e Informatica, Università di Udine and Gruppo Ricercatore e Utenti di Logic Programming, June 1997. [ bib \| .pdf ]
[47]	Evelina Lamma, Paola Mello, Michela Milano, and Fabrizio Riguzzi. Integrating induction and abduction in logic programming. In Paul P. Wang, editor, Proceedings of the Third Joint Conference on Information Sciences, 1-5 March 1997, Raleigh, North Carolina, volume 2, pages 203-206, Research Triangle Park, North Carolina, USA, March 1997. Duke University. [ bib \| .pdf ]

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