Conference papers

  1. N. Aburaed, M.Q. Alkhatib, S. Marshall, J. Zabalza, and H. Al Ahmad, “Bayesian hybrid loss for hyperspectral SISR using 3D wide residual CNN,” in IEEE International Conference on Image Processing (ICIP), Oct. 2023, pp. 2115-2119.
  2. N. Aburaed, M.Q. Alkhatib, S. Marshall, J. Zabalza, and H. Al Ahmad, “Attention-infused 3D-SRCNN for hyperspectral image super resolution,” in IEEE European Signal Processing Conference (EUSIPCO), Sep. 2023, pp. 456-460.
  3. A. Campbell, J. Zabalza, P. Murray, S. Marshall, N. Cockbain, D. Offin, G. Myers, and R. Bernard, “Automated X-ray classification of special nuclear materials as an operator aid,” in 13th Nuclear Plant Instrumentation, Control & Human-Machine Interface Technologies (NPIC&HMIT), Jul. 2023, pp. 262-271.
  4. J. Zabalza, P. Murray, S. Marshall, N. Cockbain, D. Offin, R. Bernard, and S. Hepworth, “PVC detection in Sellafield repackaging procedures via hyperspectral imaging,” in 13th Nuclear Plant Instrumentation, Control & Human-Machine Interface Technologies (NPIC&HMIT), Jul. 2023, pp. 254-261.
  5. N. Aburaed, M.Q. Alkhatib, S. Marshall, J. Zabalza, and H. Al Ahmad, “Hyperspectral data scarcity problem from a super resolution perspective: Data augmentation analysis and scheme,” in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul. 2023, pp. 5057-5056.
  6. A. Campbell, J. Zabalza, P. Murray, S. Marshall, and S. Malone, “Hyperspectral imaging through partially transparent media,” in Hyperspectral Imaging and Applications II, SPIE Photonex, Dec. 2022.
  7. A. Keane, P. Murray, J. Zabalza, A. Di Buono, N. Cockbain, and R. Bernard, “Hyperspectral imaging analysis of corrosion products on metals in the UV range,” in Hyperspectral Imaging and Applications II, SPIE Photonex, Dec. 2022.
  8. N. Aburaed, M.Q. Alkhatib, S. Marshall, J. Zabalza, and H. Al Ahmad, “Complex-valued neural network for hyperspectral single image super resolution,” in Hyperspectral Imaging and Applications II, SPIE Photonex, Dec. 2022.
  9. N. Aburaed, M.Q. Alkhatib, S. Marshall, J. Zabalza, and H. Al Ahmad, “A comparative study of loss function for hyperspectral SISR,” in IEEE European Signal Processing Conference (EUSIPCO), Aug. 2022, pp. 484-487.
  10. M. Vasile, L. Walker, R.D. Dunphy, J. Zabalza, P.  Murray, S. Marshall, and V. Savitski, “Intelligent classification of space objects with hyperspectral imaging,” in 3rd International Conference on Space Situational Awareness (ICSSA), Apr. 2022, pp. -.
  11. N. Aburaed, M.Q. Alkhatib, S. Marshall, J. Zabalza, and H. Al Ahmad, “SISR of hyperspectral remote sensing imagery using 3D encoder-decoder RUNet architecture,” in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul. 2022, pp. 1516-1519.
  12. N. Aburaed, M.Q. Alkhatib, S. Marshall, J. Zabalza, and H. Al Ahmad, “3D expansion of SRCNN for spatial enhancement of hyperspectral remote sensing images” in IEEE International Conference on Signal Processing and Information Security (ICSPIS), Nov. 2021, pp. 9-12.
  13. S.D. Fabiyi, P. Murray, M.J. Aitkenhead, J. Zabalza, A. Lilly, and A.H.J. Robertson, “Predicting Soil Nitrogen Using Machine Learning and Spectroscopy,” Doctoral School Multidisciplinary Symposium, Jun. 2021.
  14. H. Fu, G. Sun, J. Ren, J. Zabalza, A. Zhang, and Y. Yao, “2D-SSA based multiscale feature fusion for feature extraction and data classification in hyperspectral imagery,” in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Sep. 2020, pp. 76-79.
  15. J. Tschannerl, J. Ren, J. Zabalza, and S. Marshall, “Segmented autoencoders for unsupervised embedded hyperspectral band selection,” in IEEE European Workshop on Visual Information Processing (EUVIP), Nov. 2018, pp. 1-6.
  16. H. Sun, J. Ren, Y. Yan, J. Zabalza, and S. Marshall, “Joint kernelized sparse representation classification for hyperspectral imagery,” in Hyperspectral Imaging and Applications Conference (HSI), Oct. 2018.
  17. J. Zabalza, Z. Fei, C. Wong, Y. Yan, C. Mineo, E. Yang, T. Rodden, J. Mehnen, Q.-C. Pham, and J. Ren, “Making industrial robots smarter with adaptive reasoning and autonomous thinking for real-time tasks in dynamic environment: A case study,” in International Conference on Brain Inspired Cognitive Systems (BICS), Jul. 2018, pp. 790-800.
  18. Z. Yang, F. Cao, J. Zabalza, W. Chen, and J. Cao, “Spectral and spatial kernel extreme learning machine for hyperspectral image classification,” in International Conference on Brain Inspired Cognitive Systems (BICS), Jul. 2018, pp. 394-401.
  19. S. Marshall, T. Kelman, T. Qiao, P. Murray, and J. Zabalza, “Hyperspectral imaging for food applications,” in IEEE European Signal Processing Conference (EUSIPCO), Sep. 2015, pp. 2854-2858.
  20. J. Zabalza, J. Ren, and S. Marshall, “’On the fly’ dimensionality reduction for hyperspectral image acquisition,” in IEEE European Signal Processing Conference (EUSIPCO), Sep. 2015, pp. 749-753.
  21. T. Qiao, J. Ren, J. Zabalza, and S. Marshall, “Prediction of lamb eating quality using hyperspectral imaging,” in Optical Characterization of Materials Conference (OCM), Mar. 2015, pp. 15-25.
  22. T. Qiao, J. Ren, C. Craigie, J. Zabalza, C. Maltin, and S. Marshall, “Comparison between near infrared spectroscopy and hyperspectral imaging in predicting beef eating quality,” in Hyperspectral Imaging and Applications Conference (HSI), Oct. 2014.
  23. J. Zabalza, J. Ren, and S. Marshall, “Singular spectrum analysis for effective noise removal and improved data classification in hyperspectral imaging,” in IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Jun. 2014.
  24. J. Zabalza, J. Ren, C. Clemente, G. di Caterina, and J.J. Soraghan, “Embedded SVM on TMS320C6713 for signal prediction in classification and regression applications,” in IEEE European DSP Education and Research Conference (EDERC), Sep. 2012, pp. 90–94.
  25. H. Beltrán, E. Pérez, C. Ariño, E. Belenguer, N. Aparicio, J. Zabalza, J. Torrelo, and S. Subiela, “Use of Kalman filters for renewable energy sources isolation transformers current harmonics compensation,” in IEEE European Conference on Power Electronics and Applications (EPE), Sep. 2009.
  26. J. Zabalza, S. Molla, R. Díaz-Calleja, E. Riande, and V. Compañ, “Análisis teórico-experimental de la conductividad de una membrana de intercambio protónico en una pila de combustible del tipo PEMFC,” in VI Jornadas Nacionales de Ingeniería Termodinámica (JNIT), Jun. 2009.
  27. J. Zabalza and J. Cañada, “Análisis de modelos de aerosoles utilizando el código SMARTS. Aplicación a medidas experimentales en Valencia,” in VI Jornadas Nacionales de Ingeniería Termodinámica (JNIT), Jun. 2009.
  28. H. Beltrán, J. Zabalza, C. Ariño, E. Belenguer, E. Pérez, and N. Aparicio, “Improved Kalman filter based inverter control for reduction of low order current harmonics due to isolation transformers in renewable energy sources,” in International Conference on Renewable Energies and Power Quality (ICREPQ), Apr. 2009.
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