Herna L Viktor - Recent Papers

I am the author of more than 100 papers. Here is a list of the ones since 2003.

Please contact me if you would like to acquire a copy of one of these, or one of my earlier publications.

Papers in Refereed Journals:

1. D Antwi and HL Viktor, “Dynamic Materialization for Building Personalized Smart Cubes", Transactions on Large-Scale Data-and Knowledge-Centered Systems XXVI, Springer Berlin Heidelberg, 61-88, 2016.

2. E. Paquet and HL Viktor, “Isometrically invariant and allosterically aware description of deformable macromolecular surfaces: application to the viral neuraminidase”, Vaccine, 33 (48), 6930-7 2015.

3. E Paquet and HL Viktor, “Molecular Dynamics, Monte Carlo Simulations and Langevin Dynamics: a Computational Review”, Special Issue on Influenza Vaccines and Immunotherapeutics, BioMed Research International, 2015, ID 183918, 18 pp. 2014.

4. M Mireku, I Kiringa and HL Viktor, Instance-Based Integration of Multidimensional Data Models", International Journal on Advances in Software, Volume 7, No 1 & 2, pp. 402-421, 2014.

5. H. Guo, HL Viktor and E. Paquet, “Reducing the Size of Databases for Multirelational Classification: a Subgraph-based Approach”, Journal of Intelligent Information Systems, April 2013, Volume 40, Issue 2, pp.349-374, 2013.

6. N Azam and HL Viktor, “Proximity measures for spectral clustering”, Communications in Computer and Information Science, Springer Berlin Heidelberg, Volume 348, pp.60-78, 2013.

7. E. Paquet and HL Viktor, “Macromolecular Structure Comparison and Docking: an Algorithmic Review", Current Pharmaceutical Design, Volume 19(12), pp.2183-93, 2013.

8. HL Viktor, I Peña and E Paquet, “Who are our clients: Consumer Segmentation through Explorative Data Mining”, International Journal of Data Mining, Modelling and Management, 4 (3), pp.286-308, 2012.

9. E. Paquet, I. Peña and H. L. Viktor, “From anthropometric measurements to three-dimensional shape”, Journal of Fibre & Textile Research, 36, 336-343, 2011.

10. H. Guo, HL Viktor, and E. Paquet, “Privacy Disclosure and Preserving in Learning with Multi-relational Databases”, Journal of Computing Science and Engineering, 5 (3), 183-196, 2011.

11. J Doyle, HL Viktor and E Paquet, A Metadata Framework for Long Term Digital Preservation of 3D Data, International Journal of Information Studies, 1 (3), 165-171, 2009.

12. J. Doyle, HL Viktor and E. Paquet, Long Term Digital Preservation – Preserving Authenticity and Usability of 3D Data, International Journal on Digital Libraries, Springer Publishers, Volume 10, pp.33-48, 2009.

13. E Paquet and HL Viktor, Capri/MR: Exploring Protein Databases from a Structural and Physicochemical Point of View, Very Large Database Endowment Journal (PVLDB), Volume 1, pp. 1504-1507, 2008.

14. H Guo and HL Viktor, Learning from skewed class multi-relational databases, Fundamenta Informaticae, Volume 89, pp.69-94, 2008.

15. H Guo and HL Viktor, Multirelational classification: A multiple view approach, Knowledge and Information Systems: An International Journal, Springer Publishers, 17, pp.287–312, 2008.

16. HL Viktor and E Paquet, Calibration of Virtual Mannequins Through Anthropometric Measurements, Cluster Analysis, and Content-based Retrieval of 3-D Body Scans, the IEEE Transactions on Instrumentation and Measurements, IEEE Press, Vol 56 (5), pp.1924-1929, October 2007.

17. E Paquet and HL Viktor, On the application of 3-D technologies to the framework of cultural heritage, Annales des télécommunications, Hermes Science Publications, Paris: France, 60, pp.1311-1325, December 2005.

18. Abdali, HL Viktor, E Paquet and M Rioux, Exploring anthropometric data through cluster analysis, SAE 2004 Transactions Journal of Aerospace, Volume V113-1, pp.241-246, 2004. Judged to be among the most outstanding SAE technical papers of 2004.

19. H Guo and HL Viktor, Learning from imbalanced data sets with boosting and data generation: The DataBoost-IM approach, ACM SIGKDD Explorations, pp.30-39, June 2004.

Chapters in Books:

1. E. Paquet, H. L. Viktor and H. Guo, “Data Mining in Finance: Current Advances and Future Challenges”, in Big Data Analysis: New Algorithms for a New Society, Invited Chapter, Nathalie Japkowicz and Jerzy Stefanowski (Editors), Springer, Heidelberg, ISBN 978-3-319-26987-0, 159-175, 2015.

2. E. Paquet and HL Viktor, “Segmentation and Classification of size data”, in Anthropometry, apparel sizing and design, Invited Chapter, Woodhead Publishing, London, ISBN 978-0-85709-681-4, 123-140 (2013).

3. E Paquet and HL Viktor, “An exhaustive shape-based approach for proteins' secondary, tertiary and quaternary structures indexing and retrieval”, in Protein Structure, Invited Chapter, InTech, ISBN 978-953-51-0555-8, 121-132 (2012).

4. E Paquet and HL Viktor, “Addressing the Docking Problem: Finding Similar 3-D Protein Envelopes for Computer-aided Drug Design”, in Advances in Computational Biology, Advances in Experimental Medicine and Biology 680, Springer, ISBN 978-1-4419-5912-6, 447-454 (2010).

5. HL Viktor and E Paquet, “Visual Data Mining from Visualization to Visual Information Mining” in Data Mining and Warehousing: Concepts, Methodologies, Tools and Applications, Special Selection, John Wang, Idea Group Publishing, ISBN 978-1-59904-951-9, 1623-1630 (2008).

6. HL Viktor and E Paquet, “Visual Data Mining from Visualization to Visual Information Mining”, in Encyclopedia of Data Warehousing and Mining – 2nd Edition, Invited Chapter, John Wang, IGI Publishing, IRM Press, Information Science Publishing, CyberTech Publishing and Information Science Reference, ISBN 978-1-60566-010-3 , vol. IV, 2056-2061 (2007).

7. HL Viktor and E Paquet, “Visualization Techniques for Data Mining” in Encyclopedia of Data Warehousing and Mining, Invited Chapter, John Wang, Idea Group Publishing, ISBN 1-59140-557-2, 1190-1195 (2006).

8. HL Viktor, “Ensuring high quality data warehouses in the business-to-consumer domain”, Data Warehousing, ICFAI Books, 2004.

9. HL Viktor, E Paquet and JG le Roux, “Cooperative learning and virtual reality-based visualization for data mining”, J. Wang (ed.), Data mining: Opportunities and Challenges, IRM Publishers, Hershey, PA: USA, Chapter 3, pp.55-79, 2003.

10. E Paquet and HL Viktor, The Virtual Boutique: Virtual environment, multimedia retrieval and data mining for E-commerce and E-business, Witold Abramowicz (Ed.), Knowledge Based Information and Retrieval, Kluwer Academic Publishers, Chapter 13, pp.251-268, 2003.

Papers in Refereed Conference Proceedings:

1. R Alabdulrahman, HL Viktor and E Paquet, An Active Learning Approach for Ensemble-based Data Stream Mining, accepted for KDIR 2016.

2. A Pesaranghader and HL Viktor, Fast Hoeffding Drift Detection Method for Evolutionary Data Streams, accepted for ECML/PKDD 2016.

3. A Pesaranghader, HL Viktor and E Paquet, A Framework for Classification in Data Streams using Multi-strategy Learning, accepted for Discovery Science 2016.

4. MK Olorunnimbe, HL Viktor and E Paquet, Intelligent Adaptive Ensembles for Data Stream Mining: a High Return on Investment Approach, PKDD-ECML 4th International Workshop on New Frontiers in Mining Complex Data, Lecture Notes in Computer Science, Springer, 7 September, Porto, Portugal, pp. 61-75, 2015.

5. A Agrawal, HL Viktor and E Paquet, SCUT: Multi-class Imbalanced Data Classification Using SMOTE and Cluster-based Undersampling, 7th ACM International Joint Conference on Knowledge Discover (KDIR), 12-14 November, Lisbon, Portugal, pp. 226-234, 2015.

6. MK Olorunnimbe and HL Viktor, Tweets as a Vote: Exploring Political Sentiments on Twitter for Opinion Mining, Foundations of Intelligent Systems. Springer International Publishing, pp. 180-185, 2015.

7. C. Bellinger, A Amid, N Japkowicz and HL Viktor, Multi-label Classification of Anemia Patients, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), Miami, FL, pp. 825-830, 2015.

8. D Antwi and HL Viktor, Building Smart Cubes for Faster Access to Data, 16^th International Conference on Data Warehousing and Knowledge Discovery (DaWaK2014), Springer Lecture Notes in Computer Science (LNCS), Volume 8646, Munich, Germany, September 1-5, pp. 254-265, 2014.

9. H Hadavi, E Paquet and HL Viktor, A Quantum Particle Swarm Optimization and Genetic Algorithm Approach to the Correspondence Problem, IEEE International Symposium on Innovations in Intelligent Systems and Application (INISTA 2014), Bari, Italy, June 24-26, pp. 226-233, 2014.

10. E. Paquet, D Deyoungster, HL Viktor and E Petriu, Physics-based Measurements, Reflective Measurements and Meta-Measurements for Nonrigid and Deformable Shapes With Application to Structural Proteomics and Macromolecular Docking, IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2014), May 5-7, Ottawa, Canada, pp. 112-117, IEEE Explore, 2014.

11. E. Paquet, D. Deyoungster, HL Viktor and E Petriu, 'Physics-based Measurements, Reflective Measurements and Meta-Measurements for Nonrigid and Deformable Shapes With Application to Structural Proteomics and Macromolecular Docking, IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2014), Ottawa, Canada, May 2014.

12. P Sobhani, HL Viktor and S Matwin, Learning from Imbalanced Data Using Ensemble Methods and Cluster-Based Undersampling. NFMCP 2014, NFMCP 2014, Held in Conjunction with ECML-PKDD 2014, Nancy, France, September 19, 2014, Revised Selected papers, Springer Verlag, pp. 69-83.

13. D Deyoungster, E Paquet, HL Viktor and E Petriu, An Isometry-Invariant Spectral Approach for Protein - Protein Docking, Accepted in 13th IEEE International Conference on BioInformatics and BioEngineering, November 10-13, Chania, Greece, 2013.

14. S Valencia and HL Viktor, A Personalized Location Aware Multi-Criteria Recommender System based on Context-Aware User Preference Models, 9th International Conference on Artificial Intelligence Applications and Innovation (AIAI 2013), 30 September - 2 October, Paphos, Cyprus, 2013, H. Papadopoulos et al. (Eds.), IFIP International Federation for Information Processing AICT 412, Springer Verlag, pp. 30-39, 2013.

15. J Weissbock, HL Viktor and D Inkpen, Use of Performance Metrics to Forecast Success in the National Hockey League (NHL), the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2013) Workshop on Sports Data Mining, 23-27 September, Prague, Czech Republic, 2013.

16. E. Paquet and HL Viktor, Isometrically Invariant Description of Deformable Objects based on the Fractional Heat Equation, 15th International Conference on Computer Analysis of Images and Patterns (CAIP 2013), 27-29 August, York, UK, Springer Lecture Notes in Computer Science (LNCS 8048), pp. 135-143, 2013.

17. HL Viktor and E Paquet, Artificial Neural Networks for Predicting 3D Protein Structures from Amino Acid Sequences, Accepted in International Joint Conference on Neural Networks (IJCNN), 4-9 August, Dallas, TX, USA, 2013.

18. M Mireku-Kwakye, I. Kiringa and HL Viktor, Merging Multidimensional Data Models: A Practical Approach for Schema and Data Instances, 5th International Conference on Data, Knowledge and Data Applications (DBKDA 2013), January 27th – Feb 1st, Seville, Spain, pp.100-107, 2013. This paper won a Best Paper Award.

19. D. Antwi, HL Viktor and N Japkowicz, The PerfSim Algorithm for Concept Drift Detection in Imbalanced Data, IEEE International Conference on Data Mining (ICDM) Reliability of Knowledge Discovery Workshop (RKID 2012), 13 December, 2012, Brussels Belgium, 2012.

20. E Paquet, HL Viktor and H Guo, “Learning in the Presence of Large Fluctuations: A Study of Aggregation and Correlation”, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD) Workshop on New Frontiers in Mining Complex Patterns (NFMCD), 24-28 September, Bristol, UK, Lecture Notes in Computer Science, Volume 7765, Springer Verlag, pp 49-63, 2012. (Revised Selected Papers.)

21. M Ceci, A Appice, HL Viktor, D Malerba, E Paquet and H Guo, Transductive Relational Classification in the Co-Training Paradigm, accepted for International Conference on Machine Learning and Data Mining (MLDM´2012), Berlin, Germany, July 13-20, 2012. This paper won the Best Paper Award.

22. Y Jaffer, HL Viktor and E Paquet, Aggregation and Privacy in Multi-Relational Databases, accepted for the Tenth Annual Conference on Privacy, Security and Trust (PST 2012), Paris: France, July 16-18, IEEE Explore, pp.67-74, 2012.

23. E Paquet and HL Viktor, Fractal Geometry and Multimedia Retrieval: a Theoretical Framework, 3D Image Processing and Applications – 3DIP 2012, IS&T/SPIE International Symposium on Electronic Imaging, 24-26 January, San Francisco, CA, USA, 2012.

24. H Guo, HL. Viktor, and E Paquet, Privacy Leakage in Multi-relational Learning via Unwanted Classification Models, in Proc. 21st IBM Centre for Advanced Studies Conference (CASCON 2011), Toronto, Canada, Nov. 2011.

25. N Azam and HL Viktor, A Comparison of proximity measures for spectral clustering, in International Conference on Knowledge Discovery and Information Retrieval (KDIR 2011), Paris, France, October 25-27, 2011. Nominated for Best Paper Award.

26. E Paquet, HL Viktor, and H Guo, To Aggregate or Not to Aggregate: That is the Question, in International Conference on Knowledge Discovery and Information Retrieval (KDIR 2011), Paris, France, Oct 25-27, 2011.

27. D Muhivumundo and HL Viktor, Detecting Data Duplicates through Active Ensemble-based Learning, the IEEE African Conference on Software Engineering and Applied Computing (ACSEAC 2011), Cape Town, South Africa, September 2011.

28. E Paquet and HL Viktor, Multimodal Representations, Indexing, Unexpectedness and Proteins, the 24^th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE 2011), LNCS 6703, Syracuse, New York, July 2011.

29. H Guo, HL Viktor and E Paquet, “Identifying and Preventing Data Leakage in Multi-relational Classification”, IEEE International Workshop on Privacy Aspects of Data Mining (at ICDM 2010), 14 December, Sydney: Australia, 2010.

30. E Paquet and HL Viktor, Probability Distributions from Riemannian Geometry, Generalized Hybrid Monte Carlo Sampling and Path Integrals, 3D Image Processing and Applications – 3DIP 2011, IS&T/SPIE International Symposium on Electronic Imaging, Volume 7864, pp. 78640X-78640X-8, 2011.

31. HL Viktor, B Wang, J Doyle and E Paquet, “Preserving Object-Relational Databases for the Next Generations”, 5^th IEEE International Conference on Digital Information Management (ICDIM2010), Thunder bay, Canada, 4-8 July, IEEE Press, 2010.

32. HL Viktor, “Addressing Climo-Skepticism: Towards an Integrated Repository of Climate Change Research Findings”, 2^nd International Workshop on Software Research and Climate Change (WSRCC), at 32^nd IEEE International Conference on Software Engineering (ICSE2010), Cape Town, South Africa, 1-8 May, 2010.

33. E Paquet and HL Viktor, “Index Spaces for 3D Retrieval: Toward a Better Understand of their Geometry and Probability Distribution”, 3D Image Processing and Applications – 3DIP, IS&T/SPIE International Symposium on Electronic Imaging, 18-19 January, San Jose, CA, USA, 2010.

34. E Paquet and HL Viktor, “Indexing and Retrieval of Multiple 3D Protein Structure Representations for the Protein Data Bank”, Proteomics Europe, 5-6 November, Barcelona, Spain, 26 pp., 2009.

35. E Paquet and HL Viktor, “Finding Protein Family Similarities in Real Time through Multiple 3D and 2D Representations, Indexing and Exhaustive Searching”, ISTICC, ACM SIGMIS International Conference on Knowledge Discovery and Information Retrieval - KDIR, 6-8 October, Madeira, Portugal, 127-133, 2009.

36. I Peña, HL Viktor and E Paquet, “Explorative Data Mining for the Sizing of Population Groups”, ISTICC, ACM SIGMIS International Conference on Knowledge Discovery and Information Retrieval - KDIR, 6-8 October, Madeira, Portugal, 152-159, 2009.

37. I Peña, HL Viktor and E Paquet, “Finding Clothing that Fit through Cluster Analysis and Objective Interestingness Measures”, 11^th International Conference on Data Warehousing and Knowledge Discovery - DaWaK 2009, Springer LNCS 5691, 31 August - 4 September, Linz, Austria, 216-228, 2009.

38. E Paquet, M. Daoudi and HL Viktor, “Three-Dimensional Averaging of Human Bodies: the Interplay in between Riemannian and Euclidian Structure”, Eurographics Workshop on 3D Object Retrieval, 29 March, Munich, Germany, 4 pp., CD ROM, 2009.

39. J. Doyle, HL Viktor and E Paquet, Preservation Metadata – A Framework for 3D Data based on the Semantic Web, the 3^rd IEEE International Conference on Digital Information Management (ICDIM 2008), London, UK, November 13-16, 2008, CD ROM.

40. E Paquet, A Beraldin, HL Viktor and B Benedetto, An Integrated Framework for the Acquisition, Modeling, Interaction and Management of Digital Cultural Data, DMACH 2008, Amman: Jordan.

41. E Paquet and HL Viktor, Capri/MR: Exploring Protein Databases from a Structural and Physicochemical Point of View, the 34^th VLDB 2008 Conference, Auckland, New Zealand, August 23-29, 2008.

42. E Paquet, E Beraldin, HL Viktor and B Benedetti, Aided Reconstruction of Complex Sites and Architectures: Application to the Grotta dei Cervi and the Broken Frescoes of the Assisi Basilica, WG V/2 - Cultural Heritage Documentation, the 21^th ISPRS Congress 2008, Beijing, China, July 3-11, 2008, pp.219-224.

43. J Doyle, HL Viktor and E Paquet, Long Term Digital Preservation- An End User’s Perspective, the 2^nd IEEE International Conference on Digital Information Management (ICDIM 2007), October 2007, Lyon, France, CD ROM, IEEE Press, 12 pp.

44. E Paquet and HL Viktor, CAPRI- Content-based Analysis of Protein Structure for Retrieval and Indexing, the 33^rd Very Large Databases (VLDB2007) Conference, Workshop on Data Mining in Bioinformatics, September 23, 2007, CD ROM, VLDB Publishers, 12 pp.

45. H Guo and HL Viktor, Mining Imbalanced Classes in Multi-relational Classification, Workshop on Multi-relational Data Mining, European Conference on Principles and Practice of Knowledge Discovery from Data (ECML/PKDD2007), Springer-Verlag, Warsaw: Poland, September 17-22, 2007, Lecture Notes in AI (LNAI4702), Springer-Verlag, pp.462-470.

46. H Guo, HL Viktor and E Paquet, Pruning Relations for Substructure Discovery of Multi-relational Databases, the European Conference on Principles and Practice of Knowledge Discovery from Data (ECML/PKDD2007), Springer-Verlag, Warsaw: Poland, September 17-22, 2007, pp. 462-470.

47. E Paquet and HL Viktor, Exploring Protein Architectures using 3D Shape-based Signatures, the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2007), Lyon: France, August 22-26, 2007, CD ROM, IEEE Press, 4 pp.

48. E Paquet, HL Viktor, H Guo and IP Sanchez, Constrained Virtual Tailoring from Anthropometric Data, 3-D Shape and Data Mining, the 2^nd International World Engineering Anthropometry Resource Conference (WEAR2007), Banff, Canada, July 31 - August 2, 2007.

49. E Paquet, J-A Beraldin, HL Viktor, B Benedetti, The Application of Content-based Indexing and Retrieval of Digital Pictures and Range Images to the 3D Virtual Reconstruction of Complex Sites and Architectures, the ISPRS 3D-ARCH- 3D Virtual Reconstruction and Visualization of Complex Architectures Workshop, ETH Zurich, July, 2007 12-13, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVI-5/W47, CD ROM, 10 pp.

50. HL Viktor, E Paquet and H Guo, Measuring to Fit: Virtual tailoring through cluster analysis and classification, The European conference on Principles and Practice of Knowledge Discovery from Data (ECML/PKDD2006), Springer-Verlag Publishers, September 18-22, 2006, pp.395-406. This paper won the Distinguished Papers: PKDD Innovative Application Award.

51. E Paquet, C Lahanier, D Pitzalis, S Peters, G Aitken and HL Viktor, Content-based Indexing, Retrieval and Storage of Cultural Heritage Data: an Integrated and Long-term Approach to Documentation with Application to the EROS Database, The 7th International Symposium on Virtual Reality, Archeology and Cultural Heritage - VAST 2006, 30 October - 4 November, 2006, Nicosia, Cyprus, 6 pp.

52. H Guo and HL Viktor, Mining relational data through correlation-based multiple view validation, the 12^th Annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2006), Philadelphia, USA, August 22-23, 2006, pp. 567-573.

53. H Guo and HL Viktor, Multi-view artificial neural networks for multi-relational classification, the IEEE International Joint Conference on Neural Networks (IJCNN2006), Vancouver, Canada, July 16-21, 2006, IEEE Press, DVD, 6 pp.

54. H Guo and HL Viktor, Mining relational database using multi-views, the 4^th Multi-relational Data Mining Workshop, at the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago: USA, 21 August 2005, pp.15-24.

55. E Paquet and HL Viktor, Long-term preservation of 3-D cultural heritage data related to architectural sites, the ISPRS WG V/4 3D-Arch Workshop on 3D Virtual Reconstruction and Visualization of Complex Architectures, Mestre: Italy, 22-24 August 2005, 8 pp. (CD ROM).

56. E Paquet and HL Viktor, Anthropometric calibration of virtual mannequins through cluster analysis and content-based retrieval of 3-D body scans, the 2005 IEEE Instrumentation and Measurement Technology Conference, Ottawa: Canada, IEEE Press, May 17-19, 2005, pp.1458-1563.

57. HL Viktor, A multi-strategy approach for mining multimedia data repositories, Data mining 2005, Skiathos: Greece, WIT Press: UK, May 25-27, 2005, pp.63-73.

58. Y Mai, J Li and HL Viktor, UML for data warehouse dimensional modeling, the 4^th International Conference on Management Information Systems (MIS 2004), Malaga, Spain, 13-15 September 2004, pp.201-211.

59. HL Viktor and H Guo, Improving the prediction of multiple classifiers against imbalanced datasets through adding synthetic examples, the 10^th International Workshop on Statistical Pattern Recognition, Lisbon, Portugal, August 18-20, 2004, Springer-Verlag, Berlin, pp.974-982.

60. E Paquet and HL Viktor, Visualisation, exploration and characterization of virtual collections, the 20^th ISPRS Congress, Istanbul, Turkey, July 12-23 , 2004, pp.597-602.

61. H Guo and HL Viktor, Boosting with data generation: Improving the classification of hard to learn examples, the 17^th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE), Ottawa, Canada, May 17-20, 2004, Lecture Notes in Artificial Intelligence (LNAI) 3029, Springer-Verlag, Berlin, pp.1082-1091.

62. S El-Hakim, L Gonzo, M Picard, S Girardi, A Simoni, E Paquet and HL Viktor, Photo-Realistic visualization of visualization, The Eurographics 4^th International Symposium on Virtual Reality, Archaeology and Intelligent Cultural Heritage, Brighton: UK, November 5-7, 2003, pp.203-211.

63. E Paquet and HL Viktor, Distributed virtual environment for visualization and visual data mining, ISPR5 Commission Working Group 6, Workshop on Visualization and Animation of Reality-based 3D Models, Engadin, Switzerland, February 24-28, 2003, 6 pp, (CD ROM).

Invited seminars presented:

1. Towards Efficient, Real-time Pocket Data Mining: Current Trends and Open Challenges, IBM CASCON 2015 Workshop on Experience-driven Analytics, Markham, Canada, October 27, 2015.

2. Digging into Database streams: Current trends and future challenges, IBM University Days, Markham, Canada, August 22, 2015

3. From Theory to Practice: A Utility-based Methodology for Mining Object-relational Databases, at the Yahoo!-DAIS Seminar, University of Illinois at Urbana-Champaign, http://dais.cs.uiuc.edu/f09_seminar_schedule.html

4. Mining Object-relational Databases, Dipartimento Di Informatica, Università degli Studi di Bari "Aldo Moro", http://www.di.uniba.it/

5. Learning from Imbalanced Data: An Overview and the DataBoost-IM Algorithm, Dipartimento DI INFORMATICA, Università degli Studi di Bari "Aldo Moro", http://www.di.uniba.it/

6. Sizing populations: Finding archetypes in an anthropometric object-relational database, Spring Symposium on Data Mining (SSO 2010), Statistical Society of Ottawa, http://www.ssc.ca/en/ottawa/past-sso-events

7. The IDeAL System: A Utility-based Methodology for Mining Massive Databases, Invited Speaker, the 11^th SAS Annual Data Mining Conference M2008, Las Vegas, USA, October 27-29, 2008.

8. An environment for the long-term preservation of cultural heritage data, Scuola Normale Superiore di Pisa, Italy, October 2006.

9. Current advances in data mining, School of IT, University of Pretoria, South Africa, March 2005.

10. Model combination through data generation, ITC-Irst (Centro per la Ricerfa Scientifica e Technologica), August 2003.

Updated: August 2016