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Publications

REFEREED ARCHIVAL JOURNAL PUBLICATIONS

  1. Marling C., Montani S., Bichindaritz I., Funk P. Synergistic case-based reasoning in medical domains, Expert Systems With Applications 41(2): 249-259 (2014) (http://www.sciencedirect.com/science/article/pii/S0957417413003618); (journal impact 1.854)
  2. Bichindaritz I., Montani S. Report on the 18th International Conference on Case-based Reasoning, Artificial Intelligence Magazine 33(1) (2012);
  3. Liang Chang-yon, Gu Dong-xiao, Bichindaritz Isabelle, Li Xingguo, Zuo Chun-rong, Cheng Wenen. Integrating gray system theory and logistic regression into case-based reasoning for safety assessment of thermal power plants, Expert Syst. Appl. 39(5): 5154-5167 (2012);
  4. Gu Dong-xiao, Liang Chang-yong,  Bichindaritz Isabelle, Zuo Chun-rong, Wang Jun. A case-based knowledge system for safety evaluation decision making of thermal power plants, Knowl.-Based Syst. 26: 185-195 (2012);
  5. Bichindaritz I., Prototypical Case Mining for Knowledge Maintenance for Biomedical CBR, Computational Intelligence 25(3), 2009, 214-234; (journal impact 1.415)
  6. Bichindaritz I., Role and Significance of Case-based Reasoning in the Health Sciences, Künstliche Intelligenz, Vol. 1/09, 2009, 12-17;
  7. Allampalli-Nagaraj G., Bichindaritz I., Semantic Indexing Of Images Using A Web Ontology Language, Engineering Applications of Artificial Intelligence, Vol. 22, Issue 1, 2009, 18-25; (journal impact 0.866)
  8. Bichindaritz I.,  Prototypical Case Mining from Biomedical Literature, Applied Intelligence, Vol. 28 Number 3, 2008, 222-237; (journal impact 0.329)
  9. Bichindaritz I.,  Memory Organization as the Missing Link between Case-Based Reasoning and Information Retrieval, Computational Intelligence, Vol. 22 Issue 3-4, 2006, 148-160; (journal impact 1.415)
  10. Bichindaritz, I., Mémoire: a Framework for Semantic Interoperability of Case Bases in Biology and Medicine, Artificial Intelligence in Medicine, Special Issue on Case-based Reasoning in the Health Sciences, Bichindaritz, I. (Edt.), Vol 36, Issue 2, 2006, 177-192; (journal impact 1.634)
  11. Bichindaritz, I., Marling, C., Case-based Reasoning in the Health Sciences: What’s Next?, Artificial Intelligence in Medicine, Special Issue on Case-based Reasoning in the Health Sciences, Bichindaritz, I. (Edt.), Vol 36, Issue 2, 2006, 127-135; (journal impact 1.634)
  12. Bichindaritz, I., Akkineni, S., Concept Mining for Indexing Medical Literature, Engineering Applications of Artificial Intelligence, Special Issue on Recent Advances in Data Mining, Perner, P. (Edt.), Vol 19, Issue 4, 2006, 411-417; (journal impact 0.866)
  13. Donaldson GW, Moinpour CM, Bush NE, Chapko M, Jocom J, Siadak M, Bradshaw JM, Bichindaritz I, Sullivan KM., Physician Participation in Research Surveys, Evaluation & the Health Professions, Vol 22, Number 4, December 1999, 427-441 ; (journal impact 1.212)
  14. Bichindaritz I, Siadak MF, Jocom J, Moinpour C, Kansu E, Donaldson G, Bush N, Chapko M, Bradshaw JM, Sullivan KM., CARE-PARTNER: a Computerized Knowledge-Support system for Stem-Cell Post-Transplant Long-Term Follow-Up on the World-Wide Web, Journal of the American Medical Informatics Association. Symposium Supplement. AMIA Annual Symposium. Orlando, FL, 1998, 386-390 ; (journal impact 3.979)
  15. Léonard, T., Divac, S., Bichindaritz, I., Rouer-Saporta, Samuel-Lajeunesse, B., Selective processing of eating and body words in restricting-type anorexics, binge-eating-type anorexics, bulimics, and control subjects, Eat Weight Disord, Mar,2(1), 17-23 ;
  16. Bichindaritz I., Temporal Abstraction and Reasoning for Case-based Reasoning, Journal of Computing and Information (ICCI-96), Vol. 2, Number 1, Waterloo, Canada, 1996, 914-934 ; (journal impact unknown)
  17. Bichindaritz I., A Cooperation between Case-Based Reasoning and Conceptual Clustering, Journal of Computing and Information (ICCI-95), Vol. 1, Number 2, Peterborough, Canada, 1995, 560-578 ; (journal impact unknown)
  18. Bichindaritz I., A Case-Based Assistant for Clinical Psychiatry Expertise, Journal of the American Medical Informatics Association. Symposium Supplement. 18th Annual Symposium on Computer Applications in Medical Care (SCAMC), Washington D.C., November 1994, 673-677 ; (journal impact 3.979)
  19. Bichindaritz I. et Potter S., PhylSyst : un système d'intelligence artificielle pour l'analyse cladistique, Biosystema N° 12, décembre 1994, 17-55 ; (journal impact unknown)
  20. Potter S. and Bichindaritz I., User Manual, Biosystema N° 12, décembre 1994, 57-62 ; (journal impact unknown)
  21. Bichindaritz I. et Séroussi B., Contraindre l'analogie par la causalité, Technique et Sciences Informatiques, volume 11, N° 4, Septembre 1992, 69-98 ; (acceptance rate 7%)
  22. Romo-Jimenez ML, Bichindaritz I, Samuel-Lajeunesse B., Measuring the development of eating disorders in a group of patients with the Eating Disorders Inventory”, Ann Med Psychol, 1995 Jun-Jul;153(6), 402-8 ; (journal impact unknown)

CONFERENCE PROCEEDINGS AND OTHER NON-JOURNAL ARTICLES - FULLY REFEREED PUBLICATIONS

INTERNATIONAL AUDIENCE

  1. Bichindaritz I. Data Mining Methods in Case-based Reasoning, Workshop Proceedings of the International Conference on Case-Based Reasoning, David Leake and Jean Lieber (Edts.), Cork, 2014, 168-181 ;
  2. Bichindaritz I. Case Mining for Research Findings in a Case-based Reasoning System in the Biology of Aging, KES International Conference on Innovation in Medicine and Healthcare, Manuel de Grana and Lakhmi Jain (Edts.), San Sebastian, IOS Press, 2014, 203-212 ;
  3. Bichindaritz I. Medical Literature Mining for Case-based Reasoning in the Biology of Aging, Workshop Proceedings of the International Conference on Case-Based Reasoning, Michael Floyd and Jonathan Rubin (Edts.), Saratoga Springs, 2013, 60-71;
  4. Bichindaritz I. Research Themes in the Case-Based Reasoning in Health Sciences Core Literature. ICDM 2012, Springer-Verlag Lecture Notes in Artificial Intelligence, Berlin, 2012, 9-23;
  5. Bichindaritz I. Architectural Framework for a Case-Based Reasoning System for Data Mining Experience Management. Industrial Conference on Data Mining - Workshops 2012, 185-196;
  6. Bichindaritz I. System Overview: CARE PARTNER A Case-Based Decision Support System for Evidence-Based Medicine. Workshop on Case-based Reasoning in the Health Sciences 2012, 139-145;
  7. Bichindaritz, I., Methods in Case-Based Classification in Bioinformatics: Lessons Learned. Proceedings of the Industrial Conference on Data Mining, Petra Perner (Edt.), Springer-Verlag, Lecture Notes in Artificial Intelligence, New York, 2011, 300-313 ;
  8. Gu, G.-X., Liang, C.-Y., Zuo, C.-R., Bichindaritz, I., Wang, J., Chen, W.-E., A Case-Based Enterprise Information System for Thermal Power Plants’ Safety Assessment. International Conference on Enterprise Decision Support systems (ICEIS) (2) 2011, 32-39 ;
  9. Bichindaritz I., Comparison of Reuse Strategies for Case-Based Classification in Bioinformatics, Proceedings of the International Conference on Case-Based Reasoning, Nirmalie Wiratunga and Ashwin Ram (Eds.), London, 2011, 393-359-407 ;
  10. Bichindaritz I., Annest A., Case Based Reasoning with Bayesian Model Averaging: An Improved Method for Survival Analysis on Microarray Data, Proceedings of the International Conference on Case-Based Reasoning, Isabelle Bichindaritz and Stefania Montani (Eds.), Alessandria, 2010, 346-359 ;
  11. Bichindaritz I., Bioinformatics Contributions to Data Mining, Proceedings of the Industrial Conference on Data Mining, Petra Perner (Edt.), Springer-Verlag, Lecture Notes in Artificial Intelligence, Leipzig, 2010, 17-27 ; (acceptance rate 26%)
  12. Mowery C., Spencer N., Bichindaritz I., Online Micro-Level Decision Making in Real-Time Strategy Games: A Case-Based Reasoning and Reinforcement Learning Approach, Workshop Proceedings of the International Conference on Case-Based Reasoning, Cindy Marling (Edt.), Alessandria, 2010, 35-44 ;
  13. Bichindaritz I., Reed J., Methodology for Classifying and Indexing Case-based Reasoning Systems in the Health Sciences, Florida Artificial Intelligence Research Symposium, AAAI Press, North America, mar. 2009. Available at: http://www.aaai.org/ocs/index.php/FLAIRS/2009/paper/view/144. Date accessed: 11 Apr. 2010 ;
  14. Bichindaritz I., Reed J.C., Research Trends in Case-Based Reasoning Systems in the Health Sciences, Workshop Proceedings of the International Conference on Case-Based Reasoning, Sarah Jane Delany (Edt.), Seattle, 2009, 195-204 ; 
  15. Bodhankar R. , Bindra A., Canilang K., Galgraith S., Hedden G., Bichindaritz I. Computing the Path to Cooking Outside the Box, Workshop Proceedings of the International Conference on Case-Based Reasoning, Sarah Jane Delany (Edt.), Seattle, 2009, 289-298 ;
  16. Reed J., Bichindaritz I., Classifying and Indexing Case-based Reasoning Systems in the Health Sciences, Workshop Proceedings of the European Conference on Case-Based Reasoning, Klaus-Dieter Althoff, Ralph Bergmann, Mirjam Minor (Edts.), Trier, 2008, 99-114 ; (acceptance rate 75%)
  17. Bichindaritz I., Case-based Reasoning in the Health Sciences: Why It Matters for the Health Sciences and for CBR, European Conference on Case-Based Reasoning, Klaus-Dieter Althoff, Ralph Bergmann, Mirjam Minor (Edts.), Springer-Verlag, Lecture Notes in Artificial Intelligence, Trier, 2008, 1-17 ; (acceptance rate 23%)
  18. Bichindaritz I., Prototypical Cases for Knowledge Maintenance for Biomedical CBR, International Conference on Case-Based Reasoning, Rosina Weber and Michael Richter (Edts.), Springer-Verlag, Lecture Notes in Artificial Intelligence, Belfast, 2007, 492-506 ; (acceptance rate 23%)
  19. Bichindaritz I., Prototypical Case Guided Case-Based Reasoning in Biomedical Domains, Workshop Proceedings of the International Conference on Case-Based Reasoning, Workshop on CBR in the Health Sciences, David Wilson and Deepak Khemani (Edts.), Belfast, 2007, 273-284 ; (acceptance rate 90%)
  20. Bichindaritz I., The Role of Prototypical Cases in Biomedical Case-Based Reasoning, Proceedings of the Industrial Conference on Data Mining, Petra Perner (Edt.), Springer-Verlag, Lecture Notes in Artificial Intelligence, Leipzig, 2007, 184-198 ; (acceptance rate 26%)
  21. Allampalli-Nagaraj G., Bichindaritz I., Semantic Indexing Of Images Using A Web Ontology Language, Advances in Data Mining, Poster and Workshop Proceedings of the Industrial Conference on Data Mining, Workshop on Data Mining in the Life Sciences, Isabelle Bichindaritz and Petra Perner (Edts.), Leipzig, 2007, 50-60 ; (acceptance rate 85%)
  22. Rajagopal R., Bichindaritz I., Knowledge discovery in the form of prototypical cases using advanced data mining techniques, Advances in Data Mining, Poster and Workshop Proceedings of the Industrial Conference on Data Mining, Workshop on Data Mining in the Life Sciences, Isabelle Bichindaritz and Petra Perner (Edts.), Leipzig, 2007, 30-39 ; (acceptance rate 85%)
  23. Pantazi, S.V., Bichindaritz, I., Moehr, J.R., The Case for Context-Dependent Dynamic Hierarchical Representations of Knowledge in Medical Informatics, Information Technology and Communications in    Health, Victoria, CA, 2007 (acceptance rate unknown)
  24. Bichindaritz I., Prototypical Case Mining from Biomedical Literature, European Workshop on Case-Based Reasoning Workshop Proceedings, Mirjam Minor (Edt.), Olüdeniz-Fethiye, 2006 123-137 ; (acceptance rate 87%)
  25. Bichindaritz I.,  Named Relationship Mining from Biomedical Literature, Machine Learning and Data Mining (MLDM) – Industrial Conference on Data Mining (ICDM) 2006 , Perner, P. and Ahlemeyer-Stubbe, A. (Edts.), Leipzig, SPRINGER-VERLAG Lectures Notes in Artificial Intelligence, 2006  64-75; (acceptance rate 30%)
  26. Bichindaritz I.,  Memory Organization as the Missing Link between Case-Based Reasoning and Information Retrieval, International Conference on Case-Based Reasoning, Workshop Proceedings, Brüninghaus, Steffanie (Edt.), Chicago, SPRINGER-VERLAG Lectures Notes in Artificial Intelligence, 2005 18-31 ; (acceptance rate 87%)
  27. Bichindaritz I., Akkineni S.,  Concept Mining for Indexing Medical Literature, Machine Learning and Data Mining (MLDM) 2005 – Industrial Conference on Data Mining (ICDM) 2005 , Perner, P. and Ahlemeyer-Stubbe, A. (Edts.), Leipzig, SPRINGER-VERLAG Lectures Notes in Artificial Intelligence, 2005 682-691 ; (acceptance rate 58%)
  28. Bichindaritz I, Mémoire: Case-Based Reasoning Meets the Semantic Web in Biology and Medicine, European Workshop on Case-Based Reasoning, Funk, P. and Gonzalez, P. (Edts.), Madrid, SPRINGER-VERLAG Lectures Notes in Artificial Intelligence n° 3155, 2004 47-61 ; (acceptance rate 66%)
  29. Bichindaritz, I., Potter, S., S.F.S. Knowledge-Based Phylogenetic Classification Mining, Industrial Data Mining Conference, Perner, P. (Edt.), Leipzig, SPRINGER-VERLAG Lectures Notes in Artificial Intelligence, 2004 163-172 ; (acceptance rate 30%)
  30. Bichindaritz I., Semantic Interoperability of Case Bases in Biology and Medicine, European Workshop on Case-Based Reasoning Workshop Proceedings, Gervas, P., and Gupta, K. (Edts.), Madrid, 2004 5-14 ; (acceptance rate 70%)
  31. Bichindaritz, I., Marling, C., Case-based Reasoning in the Health Sciences: What Next? European Workshop on Case-Based Reasoning Workshop Proceedings, Gervas, P., and Gupta, K. (Edts.), Madrid, 2004 15-24 ; (acceptance rate 70%)
  32. Bichindaritz, I., Moinpour C., Kansu, E., Donaldson, G., Bush, N., Sullivan, K.M. Case-Based Reasoning for Decision Support in a Safety Critical Environment, Artificial Intelligence in Medicine Europe, Dojat M., Keravnou E., and Barahona, P. (Edts), Cyprus, SPRINGER-VERLAG Lecture Notes in Artificial Intelligence n° 2780, 2003 314-323 ; (acceptance rate 37%)
  33. Bichindaritz I, Kansu E, Sullivan KM, Case-Based Reasoning in CARE-PARTNER: Gathering Evidence for Evidence-Based Medical Practice, European Workshop on Case-Based Reasoning, SPRINGER-VERLAG Lectures Notes in Artificial Intelligence n° 1488,1998, 334-345 ; (acceptance rate unknown)
  34. Bichindaritz I, Apprentissage et Raisonnement à Partir de Cas, In: Raisonnement à Partir de Cas, Bichindaritz I and Mille A (Edts.) ; (acceptance rate unknown)
  35. Bichindaritz I., Case-Based Medical Multi-expertise : an Example in Psychiatry, Artificial Intelligence in Medicine Europe, Barahona P., Stefanelli M. and Wyatt J. (Edts), Pavia, SPRINGER-VERLAG Lecture Notes in Artificial Intelligence n° 934, 1995, 395-396 ; (acceptance rate unknown)
  36. Bichindaritz I., Case-Based Reasoning and Conceptual Clustering : For a Co-operative Approach, Progress in Case-Based Reasoning: Proceedings of the 1st United-Kingdom Workshop on Case-Based Reasoning, Watson I. and Fahrir M. (Edts), Salford, SPRINGER-VERLAG Lecture Notes in Artificial Intelligence n° 1020, 1995, 91-106 ; (acceptance rate unknown)
  37. Bichindaritz I., Case-Based Reasoning adaptive to several cognitive tasks, International Conference on Case-Based Reasoning (ICCBR-95), Aamodt A. and Veloso M. (Edts), Sesimbra, SPRINGER-VERLAG Lecture Notes in Artificial Intelligence n° 1010, 1995, 391-400 ; (acceptance rate 58%)
  38. Bichindaritz I., Solving Safety Critical Issues in a Case-based Reasoning System in Medicine, International Conference on Case-based Reasoning Workshop Proceedings, Trondheim, Norway, 2003 9-18 ; (acceptance rate 100%)
  39. Bichindaritz I., Sullivan KM, Generating Practice Cases for Medical Training from a Knowledge-Based Decision-Support System, 6th European Conference on Case-based Reasoning Workshop Proceedings, Aberdeen, Scotland, 2002 3-14 ; (acceptance rate unknown)
  40. Bichindaritz  I., Kovalerchuk B, An Image Analysis Memory for Imagery Decision Support, CISST, Las Vegas, NV, 2001 473-477 ; (acceptance rate unknown)
  41. Bichindaritz I., A Multimodal Case-Based Reasoning System to Support Long-Term Follow-Up Care over the Internet , RàPC (Raisonnement à Partir de Cas), 1999, 1-6 ; (acceptance rate unknown)
  42. Bichindaritz I, Sullivan KM, Integrating Case-Based Reasoning, Rule-Based Reasoning and Information Retrieval for Medical Problem-Solving, AAAI Workshop on Case-Based Integrations, Madison, WI, 1998 122-127 ; (acceptance rate unknown)
  43. Bradshaw JM, Greaves M, Holmback H, Carpenter R, Cranfill R, Jeffers R, Poblete L, Robinson T, Sun A, Gawdiak Y, Cañas A, Suri N, Silverman B, Brooks M, Wong A, Bichindaritz I, Sullivan KM, Mediating Representations for an Agent Design, Eleventh Annual Knowledge Acquisition Workshop, Banff, 1998 ;
  44. Bradshaw JM, Gawdiak Y, Cañas A, Carpenter R, Chen J, Cranfill R, Gibson J, Hubbard K, Jeffers R, Mathé N, Poblete L, Robinson T, Sun A, Suri N, Wolfe S, Bichindaritz I, Toward an Intelligent Aviation Extranet, Proceedings of HCI-Aero 98, Montreal, 1998 ;
  45. Bichindaritz I, Sullivan KM, Raisonnement à Partir de Connaissances de Qualité Variée: une Mémoire pour Raisonner à Partir de Cas, de Cas Prototypiques et de Règles, 6ème Séminaire Français de Raisonnement à Partir de Cas; Ecole des Mines de Paris (abstract and article on the WWW: http://www-cindy.cma.fr/seminaire/Programme.html, bichindaritz.html, bichindaritz.ps), 1998 ;
  46. Bichindaritz I, Sullivan KM, Reasoning from Knowledge Supported by More or Less Evidence in a Computerized Decision Support System for Bone-Marrow Post-Transplant Care, AAAI Spring Symposium; Stanford, 1998, 85-90 ; (acceptance rate unknown)
  47. Bichindaritz I. and Conlon E., Temporal Knowledge Representation and Organization for Case-Based Reasoning, TIME-96 , IEEE Press, 1996, 152-159 ; (acceptance rate 44%)
  48. Bichindaritz I., Discovering and Reusing Knowledge in Case-Bases when Cases Evolve through Time, SCAMC-96; AMIA, Washington D.C., 1996, 842 ; (acceptance rate unknown)
  49. Bichindaritz I., MNAOMIA: Reasoning and Learning from Cases of Eating Disorders in Psychiatry, SCAMC-96; AMIA, Washington D.C., 1996, 965 ; (acceptance rate unknown)
  50. Bichindaritz I., A Memory Model Enabling Case-Based Reasoning to Take Advantage both from Experience and Theory in Clinical Psychiatry, Florida Artificial Intelligence Research Symposium, 1996, 155-160 ; (acceptance rate unknown)
  51. Bichindaritz I., MNAOMIA: Improving Case-Based Reasoning for an Application in Psychiatry, AAAI Spring Symposium on Artificial Intelligence in Medicine, Stanford, CA, 1996, 14-20 ; (acceptance rate unknown)
  52. Bichindaritz I., Temporal Reasoning and Learning from Cases for Patients Follow-up, ITCH-96 , 1996 ; (acceptance rate unknown)
  53. Bichindaritz I., A Memory Model For an Intelligent System for the 21st Century, IEEE Transactions on Systems Man and Cybernetics, Vancouver, 1995, 2233-2238 ; (acceptance rate unknown)
  54. Bichindaritz I., A Memory Model for Reasoning both from Experimental and from Theoretical Knowledge, Scandinavian Conference on Artificial Intelligence (SCAI-95), A. Aamodt and J. Komorowski (Edts), Trondheim, IOS-Press, 1995, 348-352 ; (acceptance rate unknown)
  55. Bichindaritz I., A case-based reasoning system adaptive to the cognitive task, Florida Artificial Intelligence Research Symposium (FLAIRS-95 on Intelligent Adaptive Systems), I. Imam and J. Wnek (Edts), Melbourne Beach, Florida, 1995, 146-159 ; (acceptance rate unknown)
  56. Bichindaritz I. and Mirabel-Sarron C., An Artificial Intelligence Methodology for Assisting Cognitive Therapy in Psychiatry, Information Technology Issues in Community Health Care, Victoria, Canada, 1994, 12.2-12-6 ; (acceptance rate unknown)
  57. Bichindaritz I., A Case-Based Reasoning System using a Control Case-Base, European Conference on Artificial Intelligence, T. Cohn (Edt), Amsterdam, 1994, 38-42 ; (acceptance rate 26%)
  58. Bichindaritz I., Case-based Reasoning in Psychiatry : A Tool to Assist Diagnosis, Treatment and Research, Neural Networks and Expert Systems in Medicine and Healthcare, Plymouth, 1994, 477-484 ; (acceptance rate unknown)
  59. Bichindaritz I., Case-Based Reasoning in Psychiatry, First World Congress on Computational Medicine, Public Health and Biotechnology, Austin, 1994 ; (acceptance rate unknown)
  60. Bichindaritz I., Concept Learning in a Real-World Domain, International Symposium on the Management of Industrial and Corporate Knowledge, Compiègne, 1993, 77-85 ; (acceptance rate unknown)
  61. Bichindaritz I. and Séroussi B., ALEXIA : un système de résolution de problèmes à partir de cas utilisant une mémoire d'exemples méta-indexée par un modèle causal, Journées Françaises  d'Apprentissage, Sète, 1991, 5-24 ; (acceptance rate 52%)

NATIONAL AUDIENCE

  1. Bichindaritz I., From Cases to Classes : Focusing on Abstraction in Case-Based Reasoning, 4th German Workshop on Case-Based Reasoning, 1996, 25-34 ; (acceptance rate unknown)
  2. Bichindaritz I., Apprentissage à partir de cas: un nouveau paradigme pour découvrir et réutiliser des connaissances dans les bases de cas, Vème Séminaire Français de Raisonnement à Partir de Cas, 1996, 91-100; (acceptance rate unknown)
  3. Bichindaritz I. (Edt), Du Raisonnement à Partir de Cas aux Mémoires Conceptuelles : Situation de l’Apprentissage dans le Raisonnement à Partir de Cas, Actes du IVème Séminaire Français de Raisonnement à Partir de Cas, Université René Descartes, 1995, 91-109 ; (acceptance rate unknown)
  4. Bichindaritz I., Apprentissage incrémental de concepts sur les questionnaires alimentaires de patients des troubles du comportement alimentaire, Rencontres Informatique et Psychiatrie, Nice, 1993, 127-133 ; (acceptance rate unknown)
  5. Bichindaritz I. and Séroussi B., Validité a priori des inférences produites par un raisonnement à partir de cas : objectivation de l'analogue par des critères de ressemblance fonctionnellement quantifiés, AFCET-RFIA, Lyon-Villeurbane, 1991, 1151-1158 ; (acceptance rate unknown)

CONFERENCE PROCEEDINGS AND OTHER NON-JOURNAL ARTICLES - REFEREED BY ABSTRACT ONLY

  1. Bichindaritz I, Siadak MF, Jocom J, Moinpour C, Kansu E, Donaldson G, Bush N, Chapko M, Sullivan KM, Secure Java Applets and Applications: Guidelines and Lessons Learnt from the Java Security Model, In American Medical Informatics Association Annual Symposium, JAMIA Supplement, November 1999, 1028 ; (acceptance rate unknown)
  2. Bichindaritz I., Bone-marrow post-transplant care application of data mining, In ACM SIGBIO, Special Issue on Biomedical Applications of Knowledge Discovery and Data Mining, December 1998, Volume 18, Number 3, 3 ; (acceptance rate unknown)
  3. Bichindaritz I, Bradshaw JM, Sullivan KM, Distributed Reuse of Knowledge in a Computerized Decision Support System for Bone-Marrow Post-Transplant Care over the World-Wide Web, Journal of the American Medical Association, AMIA Annual Symposium Nashville, TN, 1997, 844 (full article on the conference CD-ROM) ; (acceptance rate unknown)

BOOKS EDITED

  1. Bichindaritz I., Jain, L. (Edts.), Computational Intelligence in Healthcare, Springer Verlag Series in Knowledge-based Systems, 2010
  2. Bichindaritz I., Montani S. (Edts.), Case-based Reasoning Research and Development, 18th International Conference on Case-based Reasoning, ICCBR 2010, Springer Verlag LNCS/LNAI, 2010

PARTS OF BOOKS (CHAPTERS IN EDITED BOOKS)

  1. Bichindaritz I., Marling C., Case-Based Reasoning in the Health Sciences: Foundations and Research Directions, Springer Verlag Series in Knowledge-based Systems, 2010
  2. Bichindaritz I., Memory Structures and Organization, In : Case-Based Reasoning for Signals and Images,  Petra Perner (Edt.), Springer-Verlag, 2007
  3. Bichindaritz I., Intelligence artificielle : une aide à la recherche clinique, In : La quantification en psychopathologie, Guelfi J.D., Masson, 1995, 67-76 ;
  4. Foulon C., Gaillac V. and Bichindaritz I., Troubles psychiatriques associés aux troubles du comportement alimentaire, Les Conduites Alimentaires, Samuel-Lajeunesse B. and Foulon C. (Edts), Masson, 1994, 119-130 ;

JOURNAL ISSUES AND CONFERENCE PROCEEDINGS EDITED

  1. Corchado, J., Bichindaritz, I., De Paz, J. (Edts.) Distributed Artificial Intelligence Models for Knowledge Discovery in Bioinformatics, Biomed Research International, 2015, in press
  2. Bichindaritz, I., Marling C., Montani S.  (Edts.), Proceedings of the Workshop on Synergies between Case-based Reasoning and Data Mining, Cork, September 2014, 90 pages ;
  3. Bichindaritz I., Marling C., Montani S. (Edts), Preface for the special section on case-based reasoning in the health sciences, Expert Systems With Applications, 41(2), 247-248 (2014) (http://www.sciencedirect.com/science/article/pii/S0957417413003606); (journal impact 1.854)
  4. Montani, S., Bichindaritz, I., Marling C.  (Edts.), Proceedings of the eighth Workshop on Case-based Reasoning in the Health Sciences, Université de Lyon, September 2012, 90 pages ;
  5. Bichindaritz, I., Perner P., Ruß G., Schmidt R. (Edts.), Advances in Data Mining, 12th Industrial Conference, ICDM 2012, Berlin, Germany, July 2012, Workshop Proceedings, Workshop on Case-Based Reasoning CBR-MD 2012, Workshop on Data Mining in Agriculture DMA 2012, Workshop on Data Mining in Life Sciences DMLS 2012, Workshop on Data Mining in Marketing DMM 2012. IBaI Publishing 2012, isbn 978-3-942952-16-3 ;
  6. Bichindaritz I., Montani S. (Edts.), Artificial Intelligence in Medicine, Advances in Case-based Reasoning in the Health Sciences, 51(2) 2011, 75-79 ; (journal impact 1.415)
  7. Bichindaritz I., Montani S., Introduction to the Special Issue on Case-based Reasoning in the Health Sciences, Computational Intelligence, 25(3), 2009, 161-164; (journal impact 1.415)
  8. Holt, A., Bichindaritz, I., Schmidt, R., Medical applications in case-based reasoning, The Knowledge Engineering Review, 2005, 20(03):289-292; (impact factor 0.866)
  9. Bichindaritz I., Potter S. and Sigwalt B. (Edts.), Biosystema N° 12, PhylSyst : Logiciel de Reconstruction Phylogénétique, December 1994 ;
  10. Bichindaritz I., and Montani, S. (Edts.), Computational Intelligence, Special Issue on Case-based Reasoning in the Health Sciences, 2008
  11. Bichindaritz I., and Montani, S. (Edts.), Applied Intelligence, Special Issue on Case-based Reasoning in the Health Sciences, 2008
  12. Bichindaritz, I., Perner, P., Shapiro, L. (Edt.), Advances in Data Mining, Institute for Computer Vision, July 2008, 170 pages ;
  13. Bichindaritz, I., and Montani, S. (Edts.), Proceedings of the Sixth Workshop on Case-based Reasoning in the Health Sciences, University of Trier, September 2008, 60 pages ;
  14. Bichindaritz, I., and Montani, S. (Edts.), Proceedings of the Fifth Workshop on Case-based Reasoning in the Health Sciences, University of Ulster, September 2007, 110 pages ;
  15. Bichindaritz, I. (Edt.), Proceedings of the Workshop on Data Mining in the Life Sciences, Institute for Computer Vision, July 2007, 52 pages ;
  16. Bichindaritz I., and Marling, C. (Edts.), Computational Intelligence, Special Issue on Case-based Reasoning in the Health Sciences, 2006, 84 pages ;
  17. Bichindaritz, I., and Montani, S. (Edts.), Proceedings of the Fourth Workshop on Case-based Reasoning in the Health Sciences, Universität Trier, September 2006, 77 pages ;
  18. Bichindaritz, I. (Edt.), Proceedings of the Workshop on Data Mining in the Health Sciences, Institute for Computer Vision, July 2006, 55 pages ;
  19. Bichindaritz I. (Edt.), Artificial Intelligence in Medicine, Special Issue on Case-based Reasoning in the Health Sciences, 2005, 74 pages ;
  20. Bichindaritz, I., and Marling, C. (Edts.), Proceedings of the Third Workshop on Case-based Reasoning in the Health Sciences, De Paul University, August 2005, 81 pages ;
  21. Bichindaritz, I., and Marling, C. (Edts.), Proceedings of the Second Workshop on Case-based Reasoning in the Health Sciences, Universidad Completense de Madrid, September 2004, 81 pages ;
  22. Bichindaritz, I., and Marling, C. (Edts.), Proceedings of the Workshop on Case-based Reasoning in the Health Sciences, NTNU, June 2003, 88 pages ;
  23. Bichindaritz I, Mille A, Napoli A (Edts), Revue d’Intelligence Artificielle, Special issue on case-based reasoning, January 1999 ;
  24. Bichindaritz I. (Edt.), Actes du IVème Séminaire Français de Raisonnement à Partir de Cas (Proceedings of the 4th French Workshop on Case-based Reasoning), University René Descartes, April 1995 ;
  25. Bichindaritz I., Potter S. and Sigwalt B. (Edts.), Biosystema N° 12, PhylSyst : Logiciel de Reconstruction Phylogénétique, December 1994 ;

TECHNICAL REPORTS

  1. Bichindaritz I., Apprentissage de concepts dans une mémoire dynamique : raisonnement à partir de cas adaptable à la tâche cognitive, Ph.D. Thesis, University René Descartes, September 1994 ;
  2. Bichindaritz I., ALEXIA : un système de résolution de problèmes par analogie utilisant une mémoire des exemples méta-indexée par un modèle causal appliqué à la détermination de l’étiologie de l’H.T.A., Rapport de stage de DEA, EHEI, University René Descartes-Paris V, 1990 ;

STUDENTS PUBLICATIONS

  1. Chase, J., Bichindaritz, I., Design of an Online Rabies Vaccination Information System, American Medical Informatics Association Annual Symposium, 2014, 1339
  2. Annest A., Bumgarner R.E., Raftery A.E., Yeung K.Y., Iterative Bayesian Model Averaging for the Application of Survival Analysis to High-Dimensional Microarray Data, BMC Bioinformatics, 2009 10:72
  3. Potter R., Constructing More Accurate Phylogenetic Trees for Highly Divergent Sequences Using Clustal W, Advances in Data Mining, Poster and Workshop Proceedings of the Industrial Conference on Data Mining, Workshop on Data Mining in the Life Sciences, Isabelle Bichindaritz, Petra Perner, Linda Shapiro (Edts.), Leipzig, 2008, 116-127 ; (acceptance rate 85%)
  4. Hill, Seth, R-Trees: the Dynamic Solution for Multidimensional Data, Undergraduate Research Symposium - Posters 2008, US Seattle, 2008 ; (acceptance rate unknown)
  5. Dillard L., Annest A., Predicting Lung Cancer Prognosis from Gene Expression Levels, Advances in Data Mining, Poster and Workshop Proceedings of the Industrial Conference on Data Mining, Workshop on Data Mining in the Life Sciences, Isabelle Bichindaritz and Petra Perner (Edts.), Leipzig, 2007, 61-72 ; (acceptance rate 85%)
  6. Potter R., Comparison of Classification Algorithms Applied to a Breast Cancer Dataset, Advances in Data Mining, Poster and Workshop Proceedings of the Industrial Conference on Data Mining, Workshop on Data Mining in the Life Sciences, Isabelle Bichindaritz and Petra Perner (Edts.), Leipzig, 2007, 40-49 ; (acceptance rate 85%)
  7. Spiz Michael Szymon, Using Latent Semantic Indexing for Data Deduplication, Industrial Conference on Data Mining - Posters 2006, Leipzig, 2006, 37-48 ; (acceptance rate unknown)

OTHER SIGNIFICANT RESEARCH DISSEMINATION

  1. http://www.cbr-biomed.org ;
  2. accepted at Workshop IJCAI-95 : Practical development strategies for industrial strength case-based reasoning (CBR) applications , Montréal, Canada, August 1995 ;
  3. "PhylSyst", Bichindaritz I., Potter S. and Société Française de Systématique, Agence pour la Protection des Programmes, ISBN 94-37-004-00, 1994.

 

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