A

Alves, Vinícius S., Campello, Ricardo J.G.B., and Hruschka, Eduardo R. (2007) A fuzzy variant of an Evolutionary Algorithm for Clustering. In: Proceedings of the 2007 IEEE International Fuzzy Systems Conference. pp. 375-380. From: 2007 IEEE International Fuzzy Systems Conference, 23-26 July 2007, London, UK.

Alves, Vinicius S., Campello, Ricardo J.G.B., and Hruschka, Eduardo R. (2006) Towards a fast evolutionary algorithm for clustering. In: Proceedings of the International Conference on Evolutionary Computation. pp. 1761-1768. From: 2006 IEEE International Conference on Evolutionary Computation, 16-21 July 2006, Vancouver, Canada.

Antony, George, Everingham, Yvette, and Smith, Mark (2002) Financial benefits from using climate forecasting: a case study. In: Proccedings of the 24th Conference of the Australian Society of Sugar Cane Technologists (24) pp. 1-10. From: ASSCT 2002: 24th Annual Conference of the Australian Society of Sugar Cane Technologists, 2002, Australia.

Adams, E., Coomans, D., Smeyers-Verbeke, J., and Massart, D.L. (2002) Non-linear mixed effects models for the evaluation of dissolution profiles. International Journal of Pharmaceutics, 240 (1-2). pp. 37-53.

Adams, E., Coomans, D., Smeyers-Verbeke, J., and Massart, D.L. (2001) Application of linear mixed effects models to the evaluation of dissolution profiles. International Journal of Pharmaceutics, 226 (1-2). pp. 107-125.

Aeberhard, S., De Vel, O.Y., and Coomans, D.H. (2000) New fast algorithms for error rate-based stepwise variable selection in discriminant analysis. Siam Journal on Scientific Computing, 22 (3). pp. 1036-1052.

B

Berg Soto, Alvaro, Marsh, Helene, Everingham, Yvette, Smith, Joshua N., Parra, Guido J., and Noad, Michael (2014) Discriminating between the vocalizations of Indo-Pacific humpback and Australian snubfin dolphins in Queensland, Australia. Journal of the Acoustical Society of America, 136 (2). pp. 930-938.

Brown, Simon (2011) Averaging ratios: characteristics of the error of approximation. World Applied Programming, 1 (5). pp. 288-293.

Brown, Simon (2009) On the distribution of the largest part of unrestricted partitions of small integers. Electronic Journal of Applied Statistical Analysis, 1 (1). pp. 1-10.

C

Campello, Ricardo J.G.B., Moulavi, Davoud, Zimek, Arthur, and Sander, Jörg (2015) Hierarchical density estimates for data clustering, visualization, and outlier detection. ACM Transactions on Knowledge Discovery from Data, 10 (1). 5. 5:1-5:51.

Campello, R.J.G.B., Moulavi, D., Zimek, A., and Sander, J. (2013) A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies. Data Mining and Knowledge Discovery, 27 (3). pp. 344-371.

Campello, Ricardo J.G.B., Moulavi, Davoud, and Sander, Joerg (2013) Density-based clustering based on hierarchical density estimates. In: Lecture Notes in Computer Science (7819) pp. 160-172. From: Pacific-Asia Conference on Knowledge Discovery and Data Mining, 14-17 April 2013, Gold Coast, QLD, Australia.

Coletta, Luiz F.S., Vendramin, Lucas, Hruschka, Eduardo Raul, Campello, Ricardo J.G.B., and Pedrycz, Witold (2012) Collaborative fuzzy clustering algorithms: some refinements and design guidelines. IEEE Transactions on Fuzzy Systems, 20 (3). pp. 444-462.

Campello, Ricardo J.G.B., Moulavi, Davoud, and Sander, Jörg (2012) A simpler and more accurate AUTO-HDS framework for clustering and visualization of biological data. IEEE-ACM Transactions on Computational Biology and Bioinformatics, 9 (6). pp. 1850-1852.

Campello, R.J.G.B. (2010) Generalized external indexes for comparing data partitions with overlapping categories. Pattern Recognition Letters, 31 (9). pp. 966-975.

Coletta, L.F.S., Hruschka, E.R., Covoes, T.F., and Campello, R.J.G.B. (2010) Fuzzy clustering-based filter. In: Proceedings of the 13th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (Part 1) pp. 406-415. From: IPMU 2010: 13th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, 28 June - 2 July 2010, Dortmund, Germany.

Campello, R.J.G.B., and Hruschka, E. (2009) On comparing two sequences of numbers and its applications to clustering analysis. Information Sciences, 179 (8). pp. 1025-1039.

Campello, Ricardo J.G.B., Hruschka, Eduardo R., and Alves, Vinícius S. (2009) On the efficiency of evolutionary fuzzy clustering. Journal of Heuristics, 15 (1). pp. 43-75.

Campello, R. J. G. B., and Hruschka, E. R. (2008) A fully sensitive correlation measure for data mining. In: WIT Transactions on Information and Communication Technologies (40) pp. 35-41. From: Data Mining IX: 9th International Conference on Data Mining, Protection, Detection and Other Security Technologies, 2008, Cadiz, Spain.

Campello, R.J.G.B. (2007) A fuzzy extension of the Rand index and other related indexes for clustering and classification assessment. Pattern Recognition Letters, 28 (7). pp. 833-841.

Campbell, Alistair, and Knowles, Simon (2007) A confirmatory factor analysis of the GHQ12 using a large Australian sample. European Journal of Psychological Assessment, 23 (1). pp. 2-8.

Campello, R.J.G.B., and Hruschka, E.R. (2006) A fuzzy extension of the silhouette width criterion for cluster analysis. Fuzzy Sets and Systems, 157 (21). pp. 2858-2875.

D

Donald, David Andrew (2012) Wavelet basis selection for spectroscopic data analysis. PhD thesis, James Cook University.

Donald, David, Coomans, Danny, and Everingham, Yvette (2011) Joint multiple adaptive wavelet regression ensembles. Chemometrics and Intelligent Laboratory Systems, 108 (2). pp. 133-141.

Donald, D.A., Everingham, Y.L., McKinna, L.W., and Coomans, D. (2009) Feature selection in the wavelet domain: adaptive wavelets. In: Brown, Steven, Tauler, Roma, and Walczak, Beata, (eds.) Comprehensive Chemometrics: chemical and biochemical data analysis. Elsevier, Oxford, UK, pp. 647-679.

Deconinck, Eric, Zhang, Menghui H., Coomans, Danny, and Vander Heyden, Yvan (2007) Evaluation of boosted regression trees (BRTs) and two-step BRT procedures to model and predict blood-brain barrier passage. Journal of Chemometrics, 21 (7-9). pp. 280-291.

Deconinck, E., Coomans, D., and Vander Heyden, Y. (2007) Exploration of linear modelling techniques and their combination with multivariate adaptive regression splines to predict gastro-intestinal absorption of drugs. Journal of Pharmaceutical and Biomedical Analysis, 43 (1). pp. 119-130.

Deconinck, E., Xu, Q.S., Put, R., Coomans, D., Massart, D.L., and Vander Heyden, Y. (2005) Prediction of gastro-intestinal absorption using multivariate adaptive regression splines. Journal of Pharmaceutical and Biomedical Analysis, 39 (5). pp. 1021-1030.

Deconinck, E., Hancock, T., Coomans, D., Massart, D.L., and Vander Heyden, Y. (2005) Classification of drugs in absorption classes using the classification and regression trees (CART) methodology. Journal of Pharmaceutical and Biomedical Analysis, 39 (1-2). pp. 91-103.

Daszykowski, M., Stanimirova, I., Walczak, B., and Coomans, D. (2005) Explaining a presence of groups in analytical data in terms of original variables. Chemometrics and Intelligent Laboratory Systems, 78 (1-2). pp. 19-29.

Donald, David, Everingham, Yvette, and Coomans, Danny (2005) Integrated wavelet principal component mapping for unsupervised clustering on near infra-red spectra. Chemometrics and Intelligent Laboratory Systems, 77 (1-2). pp. 32-42.

De Castro, Leandro N., Hruschka, Eduardo R., and Campello, Ricardo J.G.B. (2004) An evolutionary clustering technique with local search to design RBF neural network classifiers. In: Proceedings of the 2004 IEEE International Joint Conference on Neural Networks. pp. 2083-2088. From: 2004 IEEE International Joint Conference on Neural Networks, 25-29 July 2004, Budapest, Hungary.

de Vel, O., Coomans, D., and Mallet, Y. (2000) Wavelet-based image compression. In: Walczak, Beata, (ed.) Wavelets in Chemistry. Data Handling in Science and Technology (22). Elsevier, Amsterdam, The Netherlands, pp. 457-478.

E

Everingham, Yvette, Inman-Bamber, Geoff, Sexton, Justin, and Stokes, Chris (2015) A dual ensemble agroclimate modelling procedure to assess climate change impacts on sugarcane production in Australia. Agricultural Sciences, 6. pp. 870-888.

Everingham, Y., Sexton, J., and Robson, A. (2015) A statistical approach for identifying important climatic influences on sugarcane yields. In: Proceedings of the 37th Annual Conference of the Australian Society of Sugar Cane Technologists (37) pp. 8-15. From: ASSCT 2015: 37th Annual Conference of the Australian Society of Sugar Cane Technologists, 28-30 April 2015, Bundaberg, QLD, Australia.

Everingham, Y., Sexton, J., and Timbal, B. (2013) Downscaled rainfall projections for the Burdekin, Mackay and NSW. In: Proccedings of the 35th Conference of the Australian Society of Sugar Cane Technologists. pp. 1-10. From: 35th Conference of the Australian Society of Sugar Cane Technologists, 16-18 April 2013, Townsville, QLD, Australia.

Everingham, Y.L., Zamykal, D., and McKinna, L.I. (2009) RAIN FORECASTER - a seasonal climate forecasting tool. In: Proceedings of the 2009 Conference of the Australian Society of Sugar Cane Technologists (31) pp. 50-64. From: 2009 Conference of the Australian Society of Sugar Cane Technologists, 5 - 8 May, 2009, Ballina, NSW, Australia.

Everingham, Y.L., Smyth, C.W., and Inman-Bamber, N.G. (2009) Ensemble data mining approaches to forecast regional sugarcane crop production. Agricultural and Forest Meteorology, 149 (3). pp. 689-686.

Everingham, Yvette , Baillie, Craig, Inman-Bamber, Geoff, and Baillie, Justine (2008) Forecasting water allocations for Bundaberg sugarcane farmers. Climate Research, 36 (3). pp. 231-239.

Everingham, Y.L., Lowe, K.H., Donald, D.A., Coomans, D.H., and Markley, J. (2007) Advanced satellite imagery to classify sugarcane crop characteristics. Agronomy for Sustainable Development, 27 (2). pp. 111-117.

Everingham, Y.L., Inman-Bamber, N.G., Thorburn, P.J., and McNeill, T.J. (2007) A Bayesian modelling approach for long lead sugarcane yield forecasts for the Australian sugar industry. Australian Journal of Agricultural Research, 58 (2). pp. 87-94.

Everingham, Y.L. (2007) Comparing phase based seasonal climate forecasting methods for sugarcane growing regions. In: Proceedings of the International Congress on Modelling and Simulation. pp. 574-581. From: MODSIM07 International Congress on Modelling and Simulation: Land, Water & Environmental Management: Integrated Systems for Sustainability, 10-13 December 2007, Christchurch, New Zealand.

Everingham, Y.L., Clarke, A.J., Chen, C.C.M., Van Gorder, S., and McGuire, P. (2007) Exploring the capabilities of a long lead climate forecasting system for the NSW sugar industry. In: Proceedings of the 2007 Conference of the Australian Society of Sugar Cane Technologists . pp. 9-17. From: 29th Conference of the Australian Society of Sugar Cane Technologists, 8-11 May 2007, Cairns, Queensland, Australia.

Everingham, Y., Inman-Bamber, G., Ticehurst, C., Barrett, D., Lowe, K., and McNeill, T. (2005) Yield forecasting for marketers. In: Proceedings of the 27th Conference of the Australian Society of Sugar Cane Technologists. pp. 51-60. From: 27th Conference of the Australian Society of Sugar Cane Technologists, 3 - 6 May 2005, Bundaberg, QLD, Australia.

Everingham, Y.L., Muchow, R.C., Stone, R.C., and Coomans, D.H. (2003) Using southern oscillation index phases to forecast sugarcane yields: a case study for northeastern Australia. International Journal of Climatology, 23 (10). pp. 1211-1218.

Everingham, Y.L., Muchow, R.C., and Stone, R.C. (2001) Forecasting Australian sugar yields using phases of the Southern Oscillation Index. In: Proceedings of the 2001 International Congress on Modelling and Simulation. From: MODSIM01: International Congress on Modelling and Simulation.

Everingham, Y.L., Stone, R.C., and Muchow, R.C. (2001) An assessment of the 5 phase SOI climate forecasting system to improve harvest management decisions. In: Proceedings of the Australian Society of Sugar Cane Technologists (23) pp. 44-50. From: ASSCT 2001: 23rd Annual Conference of the Australian Society of Sugar Cane Technologists, 2001, Australia.

F

Feltrin, Leonardo (2006) Probabilistic and deterministic models of Pb-Zn mineralisation and post-mineralisation megabreccia, in the Lawn Hill region, Australia. PhD thesis, James Cook University.

G

Greliche, Nicolas (2015) Can statistics save the day? In: [Presented at JCU Singapore's Public Lecture Series]. From: JCU Singapore's Public Lecture Series, 28 July 2016, Singapore.

H

Horta, Danilo, and Campello, Ricardo (2015) Comparing hard and overlapping clusterings. Journal of Machine Learning Research, 16. pp. 2949-2997.

Hill, E. June, Oliver, Nicholas H.S., Fisher, Louise, Cleverley, James S., and Nugus, Michael J. (2014) Using geochemical proxies to model nuggety gold deposits: an example from Sunrise Dam, Western Australia. Journal of Geochemical Exploration, 145. pp. 12-24.

Horta, Danilo, and Campello, Ricardo (2014) Similarity measures for comparing biclusterings. IEEE-ACM Transactions on Computational Biology and Bioinformatics, 11 (5). pp. 942-954.

Horta, Danilo, and Campello, Ricardo J.G.B. (2012) Automatic aspect discrimination in data clustering. Pattern Recognition, 45 (12). pp. 4370-4388.

Horta, Danilo, de Andrade, Ivan C., and Campello, Ricardo J.G.B (2011) Evolutionary fuzzy clustering of relational data. Theoretical Computer Science, 412 (42). pp. 5854-5870.

Horta, Danilo, and Campello, Ricardo J.G.B. (2011) Automatic aspect discrimination in relational data clustering. In: Proceedings of the 11th International Conference on Intelligent Systems Design and Applications. pp. 522-529. From: ISDA 2011: 11th International Conference on Intelligent Systems Design and Applications, 22-24 November 2011, Cordoba, Spain.

Horta, Danilo, and Campello, Ricardo J.G.B. (2010) Evolutionary clustering of relational data. International Journal of Hybrid Intelligent Systems, 7 (4). pp. 261-281.

Horta, Danilo, and Campello, Ricardo J.G.B. (2009) Fast evolutionary algorithms for relational clustering. In: Proceedings of the 9th International Conference on Intelligent Systems Design and Applications. pp. 1456-1462. From: ISDA 2009: 9th International Conference on Intelligent Systems Design and Applications, 30 November - 2 December 2009, Pisa, Italy.

Hruschka, Eduardo Raul, Campello, Ricardo J.G.B., Freitas, Alex A., and de Carvakho, André C. Ponce Leon (2009) A survey of evolutionary algorithms for clustering. IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews, 39 (2). pp. 133-155.

Hruschka, Eduardo R., Campello, Ricardo J.G.B., and de Castro, Leandro N. (2006) Evolving clusters in gene-expression data. Information Sciences, 176 (13). pp. 1898-1927.

Hancock, Timothy Peter (2006) Multivariate consensus trees: tree-based clustering and profiling for mixed data types. PhD thesis, James Cook University.

Hancock, Tim, Put, Raf, Coomans, Danny, Vander Heyden, Yvan, and Everingham, Yvette (2005) A performance comparison of modern statistical techniques for molecular descriptor selection and retention prediction in chromatographic QSRR studies. Chemometrics and Intelligent Laboratory Systems, 76 (2). pp. 185-196.

Hruschka, Eduardo R., Campello, Ricardo J.G.B., and de Castro, Leandro N. (2004) Improving the efficiency of a clustering genetic algorithm. In: Lecture Notes in Computer Science (3315) pp. 861-870. From: IBERAMIA 2004: Ibero-American Conference on Artificial Intelligence, Peubla, Mexico, 22-26 November 2004.

Hruschka, Eduardo R., de Castro, Leandro, and Campello, Ricardo J.G.B. (2004) Evolutionary algorithms for clustering gene-expression data. In: Proceedings of the 2004 IEEE International Conference on Data Mining. pp. 403-406. From: ICDM 04: 4th IEEE Conference on Data Mining, 1-4 November 2004, Brighton, UK.

Hruschka, Eduardo R., Campello, Ricardo J.G.B., and De Castro, Leandro N. (2004) Evolutionary search for optimal fuzzy C-means clustering. In: Proceedings of the 2004 IEEE International Conference on Fuzzy Systems. pp. 685-690. From: 2004 IEEE International Conference on Fuzzy Systems, 25-29 July 2004, Budapest, Hungary.

Hancock, T.P., Coomans, D.H., and Everingham, Y.L. (2003) Supervised hierarchical clustering using CART. In: Proceedings of MODSIM 2003 International Congress on Modelling and Simulation (4) pp. 1880-1885. From: MODSIM 2003 International Congress on Modelling and Simulation, 14-17 July 2003, Townsville, QLD, Australia.

I

Islam, Md. Rafiqul, and Beg, A.B.M. Rabiul Alam (2010) Modeling and predicting urban male population of Bangladesh: evidence from census data. International eJournal of Mathematics and Engineering, 1 (1). pp. 86-95.

Inman-Bamber, N.G., Everingham, Y., and Muchow, R.C. (2001) Modelling water stress response in sugarcane: validation and application of the APSIM-Sugarcane model. In: Proceedings of the 10th Australian Agronomy Conference. From: 10th AAC 2001: Australian Agronomy Conference, 2-6 February 2001, Geelong, VIC, Australia.

J

Jaggia, Sanjiv, Kelly, Alison, Salzman, Scott, Olaru, Doina, Sriananthakumar, Sivagowry, Beg, Rabiul, and Leighton, Catherine (2016) Essentials of Business Statistics: communicating with numbers. McGrawhill Education, North Ryde, NSW, Australia.

Jaskowiak, Pablo A., and Campello, Ricardo J.G.B. (2015) A cluster based hybrid feature selection approach. In: Proceedings of the 2015 Brazilian Conference on Intelligent Systems. pp. 43-48. From: BRACIS 2015: Brazilian Conference on Intelligent Systems, 4-7 November 2015, Natal, Brazil.

Jaskowiak, Pablo. A., Campello, Ricardo J.G.B., and Costa, Ivan G. (2013) Proximity measures for clustering gene expression microarray data: a validation methodology and a comparative analysis. IEEE-ACM Transactions on Computational Biology and Bioinformatics, 10 (4). pp. 845-857.

Jaskowiak, Pablo A., Campello, Ricardo J.G.B., and Costa, Ivan G. (2012) Evaluating correlation coefficients for clustering gene expression profiles of cancer. In: Lecture Notes in Computer Science (7409) pp. 120-131. From: 7th Brazilian Symposium on Bioinformatics, 15-17th August 2012, Campo Grande, Brazil.

Jaskowiak, Pablo A., and Campello, Ricardo J.G.B. (2011) Comparing correlation coefficients as dissimilarity measures for cancer classification in gene expression data. In: Proceedings of the 6th Brazilian Symposium on Bioinformatics. pp. 1-8. From: BSB 2011: 6th Brazilian Symposium on Bioinformatics, 10-12 August 2011, Brasilia, Brazil.

Jaskowiak, Pablo A., Campello, Ricardo J.G.B., Covões, Thiago F., and Hruschka, Eduardo R. (2010) A comparative study on the use of correlation coefficients for redundant feature elimination. In: Proceedings of the 11th Brazilian Symposium on Neural Networks. pp. 13-18. From: SBRN 2010: 11th Brazilian Symposium on Neural Networks, 23-28 October 2010, São Paulo, Brazil.

Jones, K., and Everingham, Y. (2005) Can ENSO combined with low-frequency SST signals enhance or suppress rainfall in Australian sugar-growing areas? In: Proceedings of International Congress on Modelling and Simulation (2005) pp. 1660-1666. From: MODSIM05 - International Conference on Modelling and Simulation, 12-15 December 2005, Melbourne, VIC, Australia.

Jaffrés, J., and Everingham, Y. (2005) An exploratory investigation of the relationship between decadal rainfall and climate indices. In: Proceedings of the 2005 Conference of the Australian Society of Sugar Cane Technologists (27) pp. 96-108. From: 27th Annual Conference Australian Society of Sugar Cane Technologists, 3-6 May 2005, Bundaberg, QLD, Australia.

K

Kault, David (2014) False negatives in evidence based medicine. Journal of Medical Statistics and Informatics, 2 (5).

Konovalov, Dmitry A., and Heg, Dik (2008) A Maximum-Likelihood relatedness estimator allowing for negative relatedness values. Molecular Ecology Resources, 8 (2). pp. 256-263.

Konovalov, Dmitry A., Sim, Nigel, Deconinck, Eric, Vander Heyden, Yvan, and Coomans, Danny (2008) Statistical confidence for variable selection in QSAR models via Monte Carlo cross-validation. Journal of Chemical Information and Modeling, 48 (2). pp. 370-383.

Konovalov, Dmitry A., and Heg, Dik (2008) Estimation of population allele frequencies from small samples containing multiple generations. In: Proceedings of 6th Asia-Pacific Bioinformatics Conference. pp. 321-331. From: 6th Asia-Pacific Bioinformatics Conference, 14-17 January 2008, Kyoto, Japan.

Konovalov, Dmitry A., Llewellyn, Lyndon E., Vander Heyden, Yvan, and Coomans, Danny (2008) Robust cross-validation of linear regression QSAR models. Journal of Chemical Information and Modeling, 48 (10). pp. 2081-2094.

Konovalov, Dmitry A., Coomans, Danny, Deconinck, Eric, and Vander Heyden, Yvan (2007) Benchmarking of QSAR models for blood-brain barrier permeation. Journal of Chemical Information and Modeling, 47 (4). pp. 1648-1656.

Kault, David A. (2003) Public Domain Statistics (PDS) set-up program [software]. James Cook University, Townsville, QLD, Australia.

Kuttatharmmakul, S., Massart, D.L., Coomans, D., and Smeyers-Verbeke, J. (2001) Comparison of methods for the estimation of statistical parameters of censored data. Analytica Chimica Acta, 441 (2). pp. 215-229.

L

Lee, Sean T. H. (2018) Testing for measurement invariance: does your measure mean the same thing for different participants? APS Observer, 31 (8). pp. 32-33.

Li, Jundong, Sander, Jörg, Campello, Ricardo, and Zimek, Arthur (2014) Active learning strategies for semi-supervised DBSCAN. In: Lecture Notes in Computer Science (8436) pp. 179-190. From: Canadian AI 2014: 27th Canadian Conference on Artificial Intelligence, 6-9 May 2014, Montréal, Canada.

Lindsay, Daniel, and Swinbourne, Anne (2013) Fearing the Greeks: the influence of mathematical notation on anxiety in a cross-cultural sample. In: Abstracts from the 34th Stress and Anxiety Research Society Conference. From: STAR 2013: 34th Stress and Anxiety Research Society Conference, 1-3 July 2013, Faro, Portugal. (Unpublished)

Lemmon, Colin (2006) Experimental design, modeling and testing of geographic routing protocols. In: Proceedings of SimTecT 2006 Conference. From: SimTecT 2006 Simulation Conference: challenges and opportunities for a complex and networked world, 29 May - 1 June 2006, Melbourne, VIC, Australia.

M

Mustika, Putu Liza Kusuma, Birtles, Alastair, Everingham, Yvette, and Marsh, Helene (2015) Evaluating the potential disturbance from dolphin watching in Lovina, north Bali, Indonesia. Marine Mammal Science, 31 (2). pp. 808-817.

Marques, Henrique O., Campello, Ricardo J.G.B., Zimek, Arthur, and Sander, Jörg (2015) On the internal evaluation of unsupervised outlier detection. In: Proceedings of the 27th International Conference on Scientific and Statistical Database Management. 7. From: SSBDM 2015: 26th International Conference on Scientific and Statistical Database Management, 29 June - 1 July 2015, La Jolla, CA, USA.

Moulavi, Davoud, Jaskowiak, Pablo A., Campello, Ricardo J.G.B., Zimek, Arthur, and Sander, Jörg (2014) Density-based clustering validation. In: Proceedings of the SIAM International Conference on Data Mining. pp. 839-847. From: SM2014: SIAM International Conference on Data Mining, 24-26 April 2014, Philadelphia, PA, USA.

Macnaughton, David, and Coomans, Danny (2009) Design and optimization aids for composite control charts. Quality Engineering, 21 (1). pp. 33-43.

Michielsen, Dirk, Amy, Jean-Jacques, Coomans, Danny, Storme, Guy, and Wyndaele, Jean-Jacques (2005) Mitomycin C and epirubicin: functional bladder damage in rats after repeat intravesical instillations. Journal of Urology, 173 (6). pp. 2166-2170.

Mallet, Y., Coomans, D., and de Vel, O. (2000) Application of adaptive wavelets in classification and regression. In: Walczak, Beata, (ed.) Wavelets in Chemistry. Data Handling in Science and Technology (22). Elsevier, Amsterdam, The Netherlands, pp. 437-456.

Mallet, Y., De Vel, O., and Coomans, D. (2000) Fundamentals of wavelet transformations. In: Walczak, Beata, (ed.) Wavelets in Chemistry. Data Handling in Science and Technology (22). Elsevier, Amsterdam, The Netherlands, pp. 57-84.

Mallet, Y., Coomans, D., and de Vel, O. (2000) Wavelet packet transforms and best basis algorithms. In: Walczak, Beata, (ed.) Wavelets in Chemistry. Data Handling in Science and Technology (22). Elsevier, Amsterdam, The Netherlands, pp. 151-164.

Mallet, Y., Coomans, D., and de Vel, O. (2000) The adaptive wavelet algorithm for designing task specific wavelets. In: Walczak, Beata, (ed.) Wavelets in Chemistry. Data Handling in Science and Technology (22). Elsevier, Amsterdam, The Netherlands, pp. 177-202.

Mallet, Y., De Vel, O., and Coomans, D. (2000) The discrete wavelet transform in practice. In: Walczak, Beata, (ed.) Wavelets in Chemistry. Data Handling in Science and Technology (22). Elsevier, Amsterdam, The Netherlands, pp. 85-118.

Mallet, Yvette, de Vel, Olivier, and Coomans, Danny (1998) Integrated feature extraction using adaptive wavelets. In: Liu, Huan, and Motoda, Hiroshi, (eds.) Feature Extraction, Construction and Selection: a data mining perspective. Kluwer Academic, Dordrecht, The Netherlands, pp. 175-190.

Mallet, Yvette, Coomans, Danny, Kautsky, Jerry, and De Vel, Olivier (1997) Classification using adaptive wavelets for feature extraction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19 (10). pp. 1058-1066.

Mallet, Yvette Lelia (1997) Wavelet based feature extraction methods for the discrimination and regression of spectral data. PhD thesis, James Cook University.

Mallet, Y., Coomans, D., and de Vel, O. (1996) Recent developments in discriminant analysis on high dimensional spectral data. Chemometrics and Intelligent Laboratory Systems, 35 (2). pp. 157-173.

N

Naldi, M.C., and Campello, Ricardo R.J.G.B. (2015) Comparison of distributed evolutionary k-means clustering algorithms. Neurocomputing, 163. pp. 78-93.

Naldi, M.C., and Campello, Ricardo (2014) Evolutionary k-means for distributed data sets. Neurocomputing, 127. pp. 30-42.

Naldi, M.C., Carvalho, A.C.P.L.F., and Campello, Ricardo R.J.G.B. (2013) Cluster ensemble selection based on relative validity indexes. Data Mining and Knowledge Discovery, 27 (2). pp. 259-289.

Naldi, Murilo Coelho, and Campello, Ricardo José Gabrielle Barreto (2013) Distributed k-means clustering with low transmission cost. In: Proceedings of the 2013 Brazilian Conference on Intelligent Systems. pp. 70-75. From: BRACIS 2013: Brazilian Conference on Intelligent Systems, 20-24 October 2013, Fortaleza, Brazil.

Naldi, Murilo Coelho, and Campello, Ricardo José Gabrielli Barreto (2012) Combining information from distributed evolutionary k-means. In: Brazilian Symposium on Neural Networks. pp. 43-48. From: SBRN 2012: Brazilian Symposium on Neural Networks, 20-25 October 2012, Curitiba, Brazil.

Naldi, M.C., Campello, R.J.G.B., Hruschka, E.R., and Carvalho, A.C.P.L.F. (2011) Efficiency issues of evolutionary k-means. Applied Soft Computing, 11 (2). pp. 1938-1952.

Naldi, Murilo C., Fontana, Andre, and Campello, Ricardo J.G.B. (2009) Comparison Among Methods for k Estimation in k-means. In: Proceedings of the 9th International Conference on Intelligent Systems Design and Applications. pp. 1006-1013. From: ISDA 2009: 9th International Conference on Intelligent Systems Design and Applications, 30 November - 2 December 2009, Pisa, Italy.

Nijs, Jo, De Meirleir, Kenny, Coomans, Danny, De Becker, Pascale, and Nicolson, Garth L. (2003) Deregulation of the 2,5A Synthetase Rnase L Antiviral pathway by Mycoplasma spp. in subsets of chronic fatigue syndrome. Journal of Chronic Fatigue Syndrome, 11 (2). pp. 37-50.

Nijs, Jo, Coomans, Danny, Nicolson, Garth L., De Becker, Pascale, Christian, Demanet, and De Meirleir, Kenny (2003) Immunophenotyping predictive of Mycoplasma infection in patients with chronic fatigue syndrome. Journal of Chronic Fatigue Syndrome, 11 (2). pp. 51-69.

P

Pigulski, Andrzej, Cugier, Henryk, Handler, Gerald, and Kgoadi, Refilwe (2018) BRITE view of sigma Scorpii, beta Cephei-type star studied for over a century. Polskie Towarzystwo Astronomiczne (PTA) Proceedings 2018, 8. pp. 77-79.

Pourrajabi, Mojgan, Moulavi, Davoud, Campello, Ricardo J.G.B., Zimek, Arthur, Sander, Jörg, and Goebel, Randy (2014) Model selection for semi-supervised clustering. In: Proceedings of the 17th International Conference on Extending Database Technology. pp. 331-342. From: EDBT 2014: International Conference on Extending Database Technology, 24-28 March 2014, Athens, Greece.

Park, S.E., Crimp, S., Inman-Bamber, N.G., and Everingham, Y.L. (2010) Sugarcane. In: Stokes, Chris, and Howden, Mark, (eds.) Adapting Agriculture to Climate Change. CSIRO Publishing, Collingwood, VIC, Australia, pp. 85-99.

Put, R., Van Gyseghem, E., Coomans, D., and Vander Heyden, Y. (2005) Selection of orthogonal reversed-phase HPLC systems by univariate and auto-associative multivariate regression trees. Journal of Chromatography A, 1096 (1-2). pp. 187-198.

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