Publications

Journal articles

  • D. C. Elton, Z. Boukouvalas, M. D. Fuge, and P. W. Chung, "Deep learning for molecular design-a review of the state of the art," Molecular Systems Design & Engineering, published by the Royal Society of Chemistry, (In press)
  • A. von Lühmann, Z. Boukouvalas, T. Adali, and K. R. Müller, "A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy", NeuroImage, Elsevier, 2018. (In press)
  • Z. Boukouvalas, Y. Levin-Schwartz, V. D. Calhoun, and T. Adali, "Sparsity and Independence: Balancing of two Objectives in Optimization for Source Separation with Application to fMRI Analysis," Elsevier, Journal of the Franklin Institute (JFI), Engineering and Applied Mathematics, vol. 355, no. 4, pp. 1873--1887, 2018.
  • D. C. Elton, Z. Boukouvalas, M. S. Butrico, M. D. Fuge, and P. W. Chung, "Applying machine learning techniques to predict the properties of energetic materials", Nature Scientific Reports, vol. 8, no. 1, pp. 9059, 2018.
  • R. Mowakeaa, Z. Boukouvalas, Q. Long, and T. Adali, "IVA Using Complex Multivariate GGD: Application to fMRI Analysis", Signal Processing, Elsevier, 2018. (In review)
  • Q. Long, S. Bhinge, Y. Levin-Schwartz, Z. Boukouvalas, V. D. Calhoun, and T. Adali, "The Role of Diversity in Data-driven Analyses of Multi-subject fMRI Data: Comparison of Approaches Based on Independence and Sparsity Using Global Performance Metrics", Human Brain Mapping, 2018. (In press)
  • D. Emge, Y. Levin-Schwartz, Z. Boukouvalas, and T. Adali, "Power Spectra Constrained IVA for SSVEP Detection," Biomedical Physics & Engineering Express, 2018. (In press)
  • Z. Boukouvalas, R. Mowakeaa, G.-S. Fu, and T. Adali, "Independent Component Analysis by Entropy Maximization with Kernels," arXiv:1610.07104 (2016).
  • Z. Boukouvalas, S. Said, L. Bombrun, Y. Berthoumieu and T. Adali, "A New Riemannian Averaged Fixed-Point Algorithm for MGGD Parameter Estimation," IEEE Signal Proc. Letts., vol. 22, no. 12, pp. 2314--2318, Dec. 2015.
  • Z. Boukouvalas, A. Arvanitoyeorgos, "A coordinate system for the three-sphere in the Euclidean four space," Mathematical Review of the Greek Mathematical Society, (2006) 65.

Peer-reviewed conferences

  • Sai K. Popuri and Z. Boukouvalas, "Efficient Parameter Estimation for Semi-Continuous Data: An Application to Independent Component Analysis,"Machine Learning for Signal Processing (MLSP), Pittsburgh, PA, USA, October 2019.
  • D. C. Elton, D. Turakhia, N. Reddy, J. Tan, Z. Boukouvalas, P. W. Chung, and M. D. Fuge, "Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora", 22nd International Seminar in New Trends in Research of Energetic Materials, NTREM 2019.
  • Z. Boukouvalas, D. C. Elton, P. W. Chung, and M. D. Fuge, "Independent Vector Analysis for Data Fusion Prior to Molecular Property Prediction with Machine Learning", Machine Learning for Molecules and Materials NIPS 2018, November 2018, (Accepted), Available here.
  • Z. Boukouvalas, Y. Levin-Schwartz, R. Mowakeaa, G.-S. Fu, and T. Adali, "Independent Component Analysis Using Semi-Parametric Density Estimation via Entropy Maximization," IEEE Statistical Signal Processing Workshop (SSP), Freiburg, Germany, June 2018, pp. 403--407.
  • B. C. Barnes, D. C. Elton, Z. Boukouvalas, D. E. Taylor, W. D. Mattson, M. D. Fuge, and P. W. Chung, "Machine Learning and Discovery for Energetic Materials", 16th International Detonation Symposium, Cambridge MD, USA, July 2018.
  • Q. Long, C. Jia, Z. Boukouvalas, B. Gabrielson, D. Emge, V. D. Calhoun, and T. Adali, "Consistent Run Selection for Independent Component Analysis: Application to fMRI Analysis", Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Calgary, Alberta, Canada, April 2018, pp. 2581--2585.
  • D. Emge, Z. Boukouvalas, Y. Levin-Schwartz, S. Bhinge, Q. Long, and T. Adali, "Power Spectra Constrained IVA for Enhanced Detection of SSVEP Content,"Proc. Conf. on Info. Sciences and Systems (CISS), Baltimore, USA, March 2017, pp. 1--5.
  • Z. Boukouvalas, Y. Levin-Schwartz, and T. Adali, "Enhancing ICA performance by exploiting sparsity: Application to fMRI Analysis." IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), New Orleans, USA, March 2017, pp. 2532--2536.
  • S. Bhinge, Q. Long , Y. Levin-Schwartz, Z. Boukouvalas, and T. Adali, "Non-orthogonal constrained independent vector analysis: Application to data fusion." Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), New Orleans, USA, March 2017, pp. 2666--2670.
  • R. Mowakeaa, Z. Boukouvalas, and T. Adali, "On the Characterization, Generalization, and Efficient Estimation of the Complex Multivariate Generalized Gaussian Distribution," in Proc. IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Rio de Janeiro, Brazil, July 2016, pp. 1--5.
  • S. Bhinge, Z. Boukouvalas, Y. Levin-Schwartz, and T. Adali, "IVA for Abandoned Object Detection: Exploiting Dependence Across Color Channels," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Shanghai, China, March 2016, pp. 2494--2498.
  • G.-S. Fu, Z. Boukouvalas, and T. Adali, "Density estimation by entropy maximization with kernels," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Brisbane, Australia, April 2015, pp. 1896--1900.
  • Z. Boukouvalas, G.-S. Fu, and T. Adali, "An Efficient Multivariate Generalized Gaussian Distribution Estimator: Application to IVA," in Proc. Conf. on Info. Sciences and Systems (CISS), Baltimore, MD, March 2015, pp. 1--4.

Non peer-reviewed publications