Biografie

2002

BSc in Computer Science (First Class), University of Aberdeen

2003

MSc in Natural Computation (with Distinction), University of Birmingham

2007

PhD in Computer Science, University of Birmingham

Forschung

My research interests lie in general in the field of machine learning.

A particular interest of mine is the visualisation of high-dimensional and structured data.

Publikationen

Riggelsen, C., Gianniotis, N., Scherbaum, F., 2011. Learning Aggregations of Ground-Motion Models Using Data. 11th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP'11.

Scherbaum, F., Kühn, N., Ohrnberger, M., Riggelsen, C., Gianniotis, N., 2011. Quantification of Epistemic Uncertainties in Probabilistic Seismic Hazard Analysis. 11th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP'11.

N. Gianniotis, P. Tino, S. Spreckley, S. Raychaudhury: Visualization of Structured Data via Generative Probabilistic Modeling In Artificial Neural Networks – ICANN 2009, pp. 567-576, Lecture Notes in Computer Science, LNCS 5768, Springer-Verlag, 2009.

N. Gianniotis, P. Tino: Visualization of Structured Data via Generative Probabilistic Modeling.In Similarity-Based Clustering: Recent Developments and Biomedical Applications, pp. 118-137, Lecture Notes In Artificial Intelligence, Vol. 5400, Springer-Verlag, 2009.

N. Gianniotis, P. Tino: Visualisation of Tree-Structured Data through Generative Probabilistic Modelling.IEEE Transactions on Neural Networks, 19(8), pp 1468-1493, 2008.

N. Gianniotis, P. Tino: Visualisation of Tree-Structured Data through Generative Probabilistic Modelling.In 15th European Symposium on Artificial Neural Networks - ESANN 2007. pp. 97-102, 2007.

P. Tino, N. Gianniotis: Metric Properties of Structured Data Visualizations through Generative Probabilistic Modelling.In 20th International Joint Conference on Artificial Intelligence - IJCAI'07, (ed.) Manuela M. Veloso. pp. 1083-1088, AAAI Press, 2007.