2013

Dondelinger, F., Filippone, M., Rogers, S., and Husmeier, D. (2013) ODE parameter inference using adaptive gradient matching with Gaussian processes. In: Sixteenth International Conference on Artificial Intelligence and Statistics, 29 Apr - 1 May 2013, Scottsdale, AZ, USA. (In Press)

Zhao, Y., Kim, J., and Filippone, M. (2013) Aggregation algorithm towards large-scale Boolean network analysis. IEEE Transactions on Automatic Control . ISSN 0018-9286 (In Press)

2012

Dondelinger, F., Rogers, S., Filippone, M., Cretella, R., Palmer, T., Smith, R., Millar, A., and Husmeier, D. (2012) Parameter inference in mechanistic models of cellular regulation and signalling pathways using gradient matching. In: WCSB2012 - 9th International Workshop on Computational Systems Biology, 4-6 Jun 2012, Ulm, Germany.

Mohamed, L., Calderhead, B., Filippone, M., Christie, M., and Girolami, M. (2012) Population MCMC methods for history matching and uncertainty quantification. Computational Geosciences, 16 (2). pp. 423-436. ISSN 1420-0597 (doi:10.1007/s10596-011-9232-8)

2011

Filippone, M., and Sanguinetti, G. (2011) Approximate inference of the bandwidth in multivariate kernel density estimation. Computational Statistics and Data Analysis, 55 (12). pp. 3104-3122. ISSN 0167-9473 (doi:10.1016/j.csda.2011.05.023)

Filippone, M., and Sanguinetti, G. (2011) A perturbative approach to novelty detection in autoregressive models. IEEE Transactions on Signal Processing, 59 (3). pp. 1027-1036. ISSN 1053-587X (doi:10.1109/TSP.2010.2094609)

2010

Filippone, M., Masulli, F., and Rovetta, S. (2010) Applying the possibilistic C-means algorithm in kernel-induced spaces. IEEE Transactions on Fuzzy Systems, 18 (3). pp. 572-584. ISSN 1063-6706 (doi:10.1109/TFUZZ.2010.2043440)

Filippone, M., and Sanguinetti, G. (2010) Information theoretic novelty detection. Pattern Recognition, 43 (3). pp. 805-814. ISSN 0031-3203 (doi:10.1016/j.patcog.2009.07.002)

2009

Camastra, F., and Filippone, M. (2009) A comparative evaluation of nonlinear dynamics methods for time series prediction. Neural Computing and Applications, 18 (8). pp. 1021-1029. ISSN 0941-0643 (doi:10.1007/s00521-009-0266-y)

Filippone, M. (2009) Dealing with non-metric dissimilarities in fuzzy central clustering algorithms. International Journal of Approximate Reasoning, 50 (2). pp. 363-384. ISSN 0888-613X (doi:10.1016/j.ijar.2008.08.006)

2008

Filippone, M., Camastra, F., Masulli, F., and Rovetta, S. (2008) A survey of kernel and spectral methods for clustering. Pattern Recognition, 41 (1). pp. 176-190. ISSN 0031-3203 (doi:10.1016/j.patcog.2007.05.018)

2006

Filippone, M., Masulli, F., Rovetta, S., Mitra, S., and Banka, H. (2006) Possibilistic approach to biclustering: an application to oligonucleotide microarray data analysis. Lecture Notes in Computer Science, 4210 . pp. 312-322. ISSN 0302-9743 (doi:10.1007/11885191_22)