I am particularly interested in feature weighting as well as unsupervised and semi-supervised learning. I have published various papers with applications in fields such as security, biosignal processing (EEG) and data mining.
I currently supervise four PhD students. They work on problems related to general data clustering, and integration of semi-supervised and unsupervised learning applied to malware classification. If you are interested in pursuing a PhD in machine learning do feel free to contact me.
PhD Scholarships are always advertised in www.KDnuggets.com.
Amorim, R.C., Shestakov, A., Makarenkov, V., Mirkin, B., The Minkowski central partition as a pointer to a suitable distance exponent and consensus partitioning, Pattern Recognition, Elsevier, vol. 67, pp. 62-72, 2017.
Amorim, R.C., Makarenkov, V., Mirkin, B., A-Wardpβ: Effective hierarchical clustering using the Minkowski metric and a fast k-means initialisation, Information Sciences, Elsevier, Vol. 370-371, pp. 343-354, 2016.
Amorim, R.C., and Mirkin B., A clustering based approach to reduce feature redundancy. In: Skulimowski, A.M.J., Kacprzyk, J. (Eds). Knowledge, Information and Creativity Support Systems: Recent Trends, Advances and Solutions. Advances in Intelligent Systems and Computing. Springer.
Puttaroo, M., Komisarczuk, P., Amorim, R.C., Challenges in developing Capture-HPC exclusion lists, Proceedings of the 7th International Conference on Security of Information and Networks, 2014, Glasgow, UK.
Zampieri, M., and Amorim, R.C., Between Sound and Spelling: Combining Phonetics and Clustering Algorithms to Improve Target Word Recovery. Proceedings of the 9th International Conference on Natural Language Processing, 2014, Warsaw, Poland.
Amorim, R.C. and Komisarczuk, P., Towards effective malware clustering: reducing false negatives through feature weighting and the Lp metric. In: Issac, B. and Israr, N. (Eds) Case Studies in Secure Computing – Achievements and Trends. CRC Press, 2014.
Amorim, R.C. and Komisarczuk, P., Partitional Clustering of Malware using K-Means. In: Blackwell, C. and Zhu, H. (Eds) Cyberpatterns: Unifying Design Patterns with Security, Attack and Forensic Patterns. Springer, pp. 223-233, 2014.
Amorim, R.C. and Mirkin, B., Removing redundant features via clustering: preliminary results in mental task separation. Proceedings of the 8th International Conference on Knowledge, Information and Creativity Support Systems, 7-9 November 2013, Krakow, Poland.
Amorim, R.C. and Mirkin, B., Selecting the Minkowski exponent for intelligent K-Means with feature weighting. In: Pardalos, P., Goldengorin, B., Aleskerov, F. (Eds), Clusters, orders, trees: methods and applications, Springer, 2013.
Puttaaroo, M., Komisarczuk, P., Amorim, R.C., On Drive-by-Download Attacks and Malware Classification. Fifth International Conference on Internet Technologies & Applications (ITA), Wrexham, Wales, 10 to 13 September 2013.
Austin, A., Amorim, R.C., Griffin, A., Targeted tutorials and the use of ASSIST to support student learning. Education, Learning, Styles, Individual differences Network (ELSIN), Billund, Denmark, 18 to 20 June 2013.
Amorim, R.C., Constrained Clustering with Minkowski Weighted K-Means. 13th IEEE International Symposium on Computational Intelligence and Informatics, pp. 14-17, Budapest, Hungary, 20-22 November 2012.
Amorim, R.C., Mirkin B., Gan J.Q., Anomalous Pattern based Clustering of Mental Tasks with Subject Independent Learning: Some Preliminary Results, Artificial Intelligence Research, 1(1), pp. 46-54, 2012.
Amorim, R.C. and Komisarczuk P., On Partitional Clustering of Malware, CyberPatterns 2012, Oxford Brookes, Oxford, 9-10 July 2012.
Amorim, R. C., An Adaptive Spell Checker Based on PS3M: Improving the Clusters of Replacement Words, The Sixth International Conference on Computer Recognition Systems, Advances in Intelligent and Soft Computing, Springer-Verlag, 2009.
Amorim, R. C., Constrained Intelligent K-Means: Improving Results with Limited Previous Knowledge, The 2nd International Conference on Advanced Engineering Computing and Applications in Sciences, IEEE Computer Society Press, Spain, 2008.