VB Bajic, Promoter prediction assessment, ENCODE Genome prediction workshop EGASP05, Sanger Institute, UK, 7 May, 2005

VB Bajic, Promoters and transcription start sites analysis for narrowing down developmental dyslexia candidate genes (Invited tutorial), 5^th HUGO Pacific Meeting & 6^th Asia-Pacific Conference on Human Genetics “Genomic Medicine and Population Health”, Bioinformatics Workshop, http://register.hugopacific.com/education-bioinformatics.cfm, November 20, 2004

VB Bajic, Ab initio motif detection, Invited lecture, SANBI, South Africa, 15 November, 2004

VB Bajic, Promoter classification, SANBI, Invited lecture, South Africa, 15 November, 2004

VB Bajic, Diagnosis of ovarian cancer by bioinformatic methods, Invited lecture, NUH, Singapore, September, 2004

VB Bajic (with H Pan, Z Zhang), Transcription Factor Association Mining, 2^nd I²R–KAIST Workshop on NLP (16^th February, 2004), I²R, Singapore

VB Bajic (with L Zhuo, K Rajaraman), Transcription Factor Relation Extraction, 2^nd I²R–KAIST Workshop on NLP (16^th February, 2004), I²R, Singapore

VB Bajic (with K Rajaraman, L Zhuo) Automatic generation of rules for extraction of transcription factors relations, 2^nd I²R–KAIST Workshop on NLP (16^th February, 2004), I²R, Singapore

VB Bajic (with WK Choy, H Pan, S Swarup), Generation of gene association networks by comparative text-mining across different bacteria, 2^nd I²R–KAIST Workshop on NLP (16^th February, 2004), I²R, Singapore

VB Bajic, Which promoter prediction system is best for your research?, The 2nd Bioinformatics summer school for 2004 (9th Feb. 2004), KEDRI, Auckland, New Zealand

VB Bajic, Finding genes likely to bind estrogen receptor to their promoters, The 2nd Bioinformatics summer school for 2004 (9th Feb. 2004), KEDRI, Auckland, New Zealand

VB Bajic, Transcriptional regulatory patterns database, The 2nd Bioinformatics summer school for 2004 (9th Feb. 2004), KEDRI, Auckland, New Zealand

VB Bajic, Bioinformatic support in finding genes likely to belong to estrogen-controlled pathways and in reconstruction of regulatory gene networks, Faculty of Medicine, National University of Singapore (19 January, 2004), Singapore

VB Bajic, Regulatory Gene Network Database, Invited lecture, University of Pretoria (28 May, 2003), Pretoria, South Africa

VB Bajic, Anatomy and Performance of Dragon Gene Start Finder, Invited lecture, University of Pretoria (28 May, 2003), Pretoria, South Africa

VB Bajic, How to find genes that are likely to bind estrogen receptor to their promoters, Invited lecture, SANBI, University of the Western Cape (21 May, 2003), Cape Town, South Africa

VB Bajic, Anatomy and Performance of Dragon Gene Start Finder, Invited lecture, SANBI, University of the Western Cape (21 May, 2003), Cape Town, South Africa

VB Bajic, Regulatory Gene Network Database, Invited lecture, SANBI, University of the Western Cape (21 May, 2003), Cape Town, South Africa

VB Bajic, How to find genes that are likely to bind estrogen receptor to their promoters, Invited lecture, University of Cape Town (13 May, 2003), Cape Town, South Africa

V.B.Bajic, V.Brusic, J. Li, S.K.Ng, L.Wong (2003) From Informatics to Bioinformatics (Invited keynote lecture), Proc. of the 1st Asia Pacific Bioinformatics Conference (APBC'2003), pp.3-14, Feb. 4-7, Adelaide, Australia (primary author Limsoon Wong)

Bajic V. B., Tang S., Han H., Brusic V. (2002) Recognition of genomic signals and regions by artificial neural networks: an overview (Invited paper), Proceedings of the 5th International Multi-Conference: Information Society IS'2002, pp.28-34, 14-18 October, Ljubljana, Slovenia

V. B. Bajic and D. Sha, New on-line learning algorithms for artificial neural networks: Optimized learning rates, Invited Plenary Lecture, 5th YUSNM: Nonlinear Sciences at the Threshold of the Third Millenium, Nis, Yugoslavia, October 2-5, 2000.

V. B. Bajic, How to find promoters in non-characterized DNA by artificial neural networks, Invited seminar, University of Auckland, New Zealand, 18 November, 1999.

V. B. Bajic, I. V. Bajic, Neural networks in promoter recognition, (preprint downloadable) in Development and Practice of Artificial Intelligence Techniques (V B Bajic, D Sha, Editors),   pp. 20-24, IAAMSAD, Durban, South Africa, 1999 - (also Plenary lecture at the International Conference on Artificial Intelligence - ICAI?9, 24-26 September 1999).

V. B. Bajic, I. V. Bajic, Artificial Neural Networks in DNA Regulatory Region Recognition: The Case of Promoters, Invited Tutorial, CD edition, International Neural Network Society, (presented at the International Joint Conference on Neural Networks, Washington, DC, July 10-16, 1999).

V. B. Bajic, D. Sha, Improved on-line algorithms with adaptive learning rate for feed-forward neural networks for model indentification,  Invited seminar,  University of Auckland, New Zealand, 18 November, 1999.

V. B. Bajic, Artificial neural networks in the analysis of DNA: A challenging problem of promoter recognition, Invited seminar, University of Western Sydney, Australia, 30 November, 1999.

V. B. Bajic, D. Sha, New on-line learning algorithms for artificial neural networks: Application to an identification problem, Invited seminar, University of Western Sydney, Australia, 30 November, 1999.

V. B. Bajic, Qualitative Analysis of Descriptor Systems with Fuzzy-Logic Components (Session Keynote Lecture), (preprint downloadable), in Advances in Systems, Signals, Control and Computers (V. Bajic Ed.), Vol.I (Plenary and Session Keynote Lectures), pp. 81-85, South Africa, 1998.

V.B. Bajic, I.V. Bajic and W.Hide, A new method of spectral analysis of DNA/RNA and protein sequences, (preprint downloadable) Plenary lecture, Bioinformatics of Genome Regulation, Vol. I, pp.120-123, Novosibirsk, Russia, 1998.

V.B. Bajic, Subsidiary parametric functions and generic concepts in qualitative analysis of system behavior, Plenary lecture, International Congress: Nonlinear Analysis and Its Applications, Moscow, Russia, September 1-5, 1998 (Book of abstracts, pp.14-15).

V.B. Bajic, "Methodology for Direct Construction of Lyapunov Functions and Applications", Plenary lecture, Proceedings of the VI International SAUM Conference on Systems, Automatic Control and Measurements, pp.49-53, Nis, Yugoslavia, September 28-30, 1998.

V.B.Bajic, "New tests for robustness of nonlinear time-varying systems", Invited seminar, Monash University, Melbourne, Australia, 06 November, 1997.

V.B.Bajic, "New results on robustness and absolute stability", Invited seminar, Victoria University of Technolnogy, Melbourne, Australia, 05 November, 1997.

V.B.Bajic, "Neural networks in conventional control tasks", Invited lecture, Electrex and Instrumentation 97, Johannesburg, South Africa, 15 October, 1997.

V.B.Bajic, "Necessary and sufficient stability conditions for interval plants with fuzzy logic controllers", Invited lecture, International Symposium on Intelligent systems (ISIS'97), Reggio Calabria, Italy, 11-13 September, 1997.

V.B.Bajic, "Lyapunov function candidates for descriptor systems: Problems and solutions", Session keynote lecture, 15th IMACS World Congress, Berlin, Germany, August 24-29, 1997.

V.B.Bajic, ''Engineering aspects of analysis of DNA and protein sequences by signal processing technology'', Invited lecture, South African National Bioinformatics Institute (SANBI), University of the Western Cape, Cape Town, 30 June, 1997.

V.B.Bajic & M.McLeod, ''Process identification and assisted controller tuning for industrial process loops'', Invited lecture, Ecole Nationale d'Ingenieurs de Belfort, Belfort, France, May 23, 1997.

V.B.Bajic, ''Introduction to fuzzy logic'', Invited tutorial for SAICSIT'96 The Annual Research and Development Symposium, Durban, Republic of South Africa, September 26-27, 1996.

V.B.Bajic, ''Rule-Based Intelligent Industrial Controller'', Invited lecture, Ecole Nationale d'Ingenieurs de Belfort, Belfort, France, June 13, 1995.

V.B.Bajic, ''Intelligent Control'', Invited Tutorial Lecture, Proceedings of the AMSE International Conference: Intelligent Systems - Methodologies & Application, September 28-30, Pretoria, RSA, pp.45-61, 1994.

M.M.Milic & V.B.Bajic, ''Qualitative analysis of systems and circuits described by continuous semistate models: An overview of methods based on Lyapunov functions'' (Keynote and Tutorial Lecture), Proceedings of The Sixth International Symposium on Networks, Systems and Signal Processing (ISYNT '89), Edited by H.Babic & B.Jeren, ETAN and IEEE CAS Society, June 27-29, Zagreb, Yugoslavia, pp.10-15, 1989.