Some International Journals Papers and Chapters

  • Sorrentino A, Parkkonen L, Pascarella A, Campi C and Piana M, Dynamical MEG Source Modeling with Multi-Target Bayesian Filtering, Human Brain Mapping 30.6: 1911-1921, 2009
  • V. Bruni, D. De Canditiis, D. Vitulano, "Phase Information and Space Filling Curves in Noisy Motion Estimation", IEEE Transactions on Image Processing, Vol. 18, No. 7, pp. 1660-1664, July 2009.
  • V. Bruni, B. Piccoli, D. Vitulano, "A Fast Computation Method for Time-scale Signal Denoising", Signal Image and Video Processing, Springer, Vol. 3, pp. 63-83, 2009.
  • V. Bruni, G. Ramponi, A. Restrepo, D. Vitulano, "Context based Defading of Archive Photographs", EURASIP Journal on Image and Video Processing, Special Issue on Image and Video Processing for Cultural Heritage, vol. 2009.
  • V. Bruni, S. Marconi, D. Vitulano, "Time-scale Atoms Chains for Transients Detection in Audio Signals", IEEE Transactions on Audio, Speech and Language Processing, vol. 18, no. 3, pp. 420 - 433, March 2010.
  • Pascarella A, Sorrentino A, Campi C and Piana M, Particle filtering, beamforming and multi- ple signal classification for the analysis of magnetoencephalography time series: a comparison of algorithms, Inverse Problems and Imaging, 4.1: 169-190, 2010
  • V. Bruni, D. De Canditiis, D. Vitulano, "Local Sorting for Adaptive Signal Regularization", IEEE Signal Processing Letters, vol. 17, no. 7, pp. 691 - 694, July 2010.
  • A. Kokaram, D. Vitulano, D. Corrigan, V. Bruni, "Advances in Automated Restoration of Archived Video", invited chapter in Digital Imaging for Cultural Heritage Preservation, CRC Press, 2011.
  • Pascarella A and Sorrentino A, Statistical Approaches to the Inverse Problem, Magnetoencephalography, Elizabeth W. Pang (Ed.), ISBN: 978-953-307-255-5, InTech, 2011
  • Campi C, Pascarella A, Sorrentino A and Piana M, Highly Automated Dipole EStimation, Computational Intelligence and Neuroscience, 982185, 2011
  • V. Bruni, D. Vitulano, "Time Scale Similarities for Robust Image Denoising", Journal of Mathematical Vision and Imaging, vol. 44, no. 1, pp. 52-64, September 2012
  • C. Angelini, D. De Canditiis and M. Pensky “Clustering time-course microarray data using functional Bayesian infinite mixture-model” Journal of applied Statistics 39, 129-149, (2012)
  • C. Angelini, D. De Canditiis, M. Pensky, Bayesian models for the analysis of multi-sample time-course microarray experiments. CIBB 2011: Lecture Notes in Bioinformatics 7548 pp21-35. Biganzoli et al. Eds. (2012)
  • C. Angelini, D. De Canditiis, M. Pensky, Bayesian methods for Time-course microarray analysis: from genes detection to clustering. in Studies in Theoretical and Applied Statistics, Springer, pp. 47-56, (2012).
  • V. Bruni, E. Rossi, D. Vitulano, "On the Equivalence between Jensen-Shannon Divergence and Michelson Contrast", IEEE Transactions on Information Theory, vol 58, no. 7, pp. 4278-4288, July 2012.

  • V. Bruni, D. De Canditiis, D. Vitulano, "Time-scale energy based analysis of contours of real-world shapes", Mathematics and Computers in Simulation, Elsevier, vol. 12, p. 2891-2907, 2012
  • V. Bruni, A. Crawford, A. Kokaram, D. Vitulano, "Semi-transparent Blotches Removal from Sepia Images Exploiting Visibility Laws", Signal Image and Video Processing, Springer, vol. 7, no. 1, pp. 11-26, DOI: 10.1007/s11760-011-0220-1, Jan. 2013.
  • V Bruni, S Marconi, B Piccoli, D Vitulano, Instantaneous frequency estimation of interfering FM signals through time-scale isolevel curves, Signal Processing, Elsevier Science, vol. 93, no. 4, p. 882-896, April 2013
  • V. Bruni, E. Rossi, D. Vitulano, "Jensen Shannon Divergence for Visual Quality Assessment", Signal Image and Video Processing, Springer, Special Issue on Human Vision and In formation Theory, Vol. 7, No. 3, May 2013.
  • V. Bruni, E. Rossi, D. Vitulano, A Model for the Restoration of Semi-transparent Defects Based on Lie Groups and Human Visual System, Computer Vision, Imaging and Computer Graphics. Theory and Application, Communications in Computer and Information Science series, Springer, vol. 0359, pp. 354-368, 2013, selected paper in VISAPP 2012.
  • V. Bruni, E. Rossi, D. Vitulano, Automated Restoration of Semi-Transparent Degradation via Lie Groups and Visibility Laws, Mathematics and Computers in Simulation, Elsevier Science, vol. 106, issue C, pp. 109-123, 2014.
  • V. Bruni, D. De Canditiis, D. Vitulano, "Speed up of Video Enhancement based on Human Perception", Signal Image and Video Processing, Springer, vol. 8, pp. 1109-1209, 2014.
  • V. Bruni, D. Vitulano, An Improvement of Kernel-based Object Tracking based on Human Perception, IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 44, no. 11, pp. 1474-1485, Nov. 2014.
  • V. Bruni, D. Vitulano, Methods and perspectives in face tracking based on human perception, invited chapter in "Face recognition in adverse conditions\94, IGI Global 2014.
  • Manca F, Capelli G, La Vigna F, Mazza R, Pascarella A, Wind-induced salt-wedge intrusion in the Tiber river mouth (Rome-Central Italy), Environmental Earth Sciences, 1-13, 2014
  • C. Angelini, D. De Canditiis and I. De Feis “Computational approaches for isoform detection and estimation: good and bad news” BMC Bioinformatics.(2014), 15:135
  • D. De Canditiis “A frame based shrinkage procedure for fast oscillating functions” published Computational Statistics & Data Analysis (2014) 75, PAG 142-150
  • V. Bruni, D. Vitulano, A robust perception based method for iris tracking, Pattern Recognition Letters, Elsevier Science, vol. 57, pp. 74-80, May 2015.
  • Calvetti D, Pascarella A, Pitolli F, Somersalo E and Vantaggi B, A hierarchical Krylov-Bayes iterative inverse solver for MEG with physiological preconditioning, Inverse Problems, 31(12), 125005, 2015
  • D. De Canditiis and M. Pensky “Estimation of delta-contaminated density of the random intensity of Poisson data” Electronic Journal of Statistics accepted (2015)
  • M. C. Basile, V. Bruni, F. Buccolini, D. De Canditiis, S. Tagliaferri, and D. Vitulano, "Automatic and Noninvasive Indoor Air Quality Control in HVAC Systems", Journal of Industrial Mathematics, Hindawi, vol. 2016, 2016.
  • Pascarella A, Todaro C, Clerc M, Serre T and Piana M, Source modeling of ElectroCorticoGraphy (ECoG) data: Stability analysis and spatial filtering, Journal of Neuroscience Methods, 263,134-144, 2016