Marco Grimaldi
Marco Grimaldi
Principal Officer, Head Data Architect - An Garda Siochana
Verified email at
Cited by
Cited by
Speaker identification using instantaneous frequencies
M Grimaldi, F Cummins
IEEE transactions on audio, speech, and language processing 16 (6), 1097-1111, 2008
The chains speech corpus: Characterizing individual speakers
F Cummins, M Grimaldi, T Leonard, J Simko
Proc of SPECOM, 1-6, 2006
An evaluation of alternative feature selection strategies and ensemble techniques for classifying music
M Grimaldi, P Cunningham, A Kokaram
Workshop on Multimedia Discovery and Mining 2, 2003
A wavelet packet representation of audio signals for music genre classification using different ensemble and feature selection techniques
M Grimaldi, P Cunningham, A Kokaram
Proceedings of the 5th ACM SIGMM international workshop on Multimedia …, 2003
Classifying music by genre using the wavelet packet transform and a round-robin ensemble
M Grimaldi, A Kokaram, P Cunningham
Trinity College Dublin, CS Dep., Technical Report, TCD-CS-2002-64, 2002
Experimenting with music taste prediction by user profiling
M Grimaldi, P Cunningham
Proceedings of the 6th ACM SIGMM international workshop on Multimedia …, 2004
Evidence of x-ray absorption-edge shift as a function of luminescence wavelength in porous silicon
G Dalba, N Daldosso, P Fornasini, M Grimaldi, R Grisenti, F Rocca
Physical Review B 62 (15), 9911, 2000
Programme-driven music radio
C Hayes, P Cunningham, P Clerkin, M Grimaldi
Proc. of the ECAI 2, 1996
An evaluation of one-class classification techniques for speaker verification
A Brew, M Grimaldi, P Cunningham
Artificial Intelligence Review 27, 295-307, 2007
RegnANN: reverse engineering gene networks using artificial neural networks
M Grimaldi, R Visintainer, G Jurman
PloS one 6 (12), e28646, 2011
Speech style and speaker recognition: a case study.
M Grimaldi, F Cummins
INTERSPEECH, 920-923, 2009
Discrete wavelet packet transform and ensembles of lazy and eager learners for music genre classification
M Grimaldi, P Cunningham, A Kokaram
Multimedia Systems 11, 422-437, 2006
Mining very large databases of time-series: Speeding up dynamic time warping using GPGPU
M Grimaldi, D Albanese, G Jurman, C Furlanello
NIPS Workshop, 2009
Reverse engineering gene networks with ANN: variability in network inference algorithms
M Grimaldi, G Jurman, R Visintainer
arXiv preprint arXiv:1009.4824, 2010
Mining the sdss database: A wavelet approach for parameterisation and classification in support of novelty detection in the astronomy domain
M Grimaldi, B Espey, P Cunningham
Technical report, School of Computer Science and Statistics. TCD, Dublin, 2006
Learning to Annotate Music Files using Content Based Retrieval Systems and Wavelet Packet Approximations of the Input Signals
M Grimaldi
Trinity College Dublin, 2005
Quantum confinement in porous silicon as a function of size distribution of luminescent sites
G Dalba, N Daldosso, P Fornasini, M Grimaldi, R Grisenti, F Rocca
Research Triangle Park, NC 27709-2211 99, 10, 1999
On the assessment of variability factors in computational network inference
M Grimaldi
Machine Learning in Systems Biology, 129, 2010
RegnANN: network inference using Artificial Neural Networks
M Grimaldi, G Jurman, R Visintainer
Introduction to spectral metrics in biological network theory
R Visintainer, G Jurman, M Grimaldi, C Furlanello
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