Machine learning publications 

 

JOURNAL PAPERS

  1. L. Alzubaidi, J. Bai, A. Al-Sabaawi, J. Santamaría, A. S. Albahri, B. S. N. Al-dabbagh, M. A. Fadhel, M. Manoufali, J. Zhang, A. H. Al-Timemy, Y. Duan, A. Abdullah, L. Farhan, Y. Lu, A. Gupta, F. Albu, A. Abbosh and Y. Gu, "A Survey on Deep Learning Tools Dealing with Data Scarcity: Definitions, Challenges, Solutions, Tips, and Applications," Journal of Big Data 10, 46, 2023.
  2. P.G. Patil, T.H. Jaware, S.P. Patil, R.D. Badgujar, F. Albu, I. Mahariq, B. Al-Sheikh, C. Nayak, "Marathi Speech Intelligibility Enhancement using I-AMS based Neuro-Fuzzy Classifier Approach for Hearing Aid Users", IEEE Access, 2022
  3. D. Panigrahy, P.K. Sahu, F. Albu, "Detection of ventricular fibrillation rhythm by using boosted support vector machine with an optimal variable combination", Vol. 91, May 2021Computers and Electrical Engineering JournalElsevier.
  4. F. Albu, "Support Vector Machines for Channel Equalization in Hostile Environments", Revue Roumaine des Sciences Technique, Editura Academiei Romane no. 2, 1999, pp. 239-247

 

 

CONFERENCE PAPERS

  1. I. Caciula, N. Angelescu, G. M. Ionita, D. Hagiescu, H. G. Coanda, and F. Albu, "Low Cost Sensor-based Gait Monitoring System",  in Proc. of ECAI 2023   
  2. C.-P. Manoila, A. Ciurea, and F. Albu, "smartMRI framework for segmentation of MR images using multiple deep learning methods, " accepted at EHB 2022 conference, Iasi, Romania, Nov. 2022 
  3. F. Albu, M. Puica, F. Pirvan, D. Hagiescu, "A Sonification Method using Human Body Movements", in Proc. of CONTENT 2018, pp. 36-40, February 2018 (best paper award).
  4. F. Albu, D. Hagiescu,L. Vladutu, M. Puica, "Neural network approaches for children's emotion recognition in intelligent learning applications", in Proc. of EDULEARN 2015, pp. 3229-3239, 2015.
  5. F. Albu, D. Hagiescu, M. Puica, L. Vladutu, "Intelligent tutor for first grade children’s handwriting application", Proceedings of 9th International Technology, Education and Development Conference, March 2015 pp. 3708-3717.
  6. F. Albu, D. Martinez, "The application of support vector machines with gaussian kernels for overcoming co-channel interference", Neural Networks for Signal Processing IX, Proceedings of the 1999 IEEE Workshop, pp. 49-57, Madison, Wisconsin, U.S.A, August 1999Citations link
  7. F. Albu, D. Martinez, "The application of support vector machines to the reconstruction of binary signals", Proceedings of International Symposium on Communications98, pp. 387-392,  November 1998
  8. F. Albu, D. Martinez, "Support Vector Classifiers: Application to digital communications channel equalization", UKROBRAZ98, pp. 57-60,  October 1998
  9. F. Albu, N. Dumitriu, A. Popescu, An enhanced clustering algorithm for Gaussian RBF networks, Proceedings of International Symposium on Electronics and Telecommunications, pp. 216-219, September 1998 
  10. F. Albu, A. Mateescu, C. Hera, The effect of delay order on a RBF equalizer, Proceedings of International Symposium on Electronics and Telecommunications, pp. 203-206,  September 1998
  11. F. Albu, A. Mateescu, J. C. M. Mota, B. Dorizzi, "Adaptive channel equalization using neural networks", IEEE ITS'98, pp. 438-441, August 1998, Sao Paolo, Brazil,DOI: 10.1109/ITS.1998.718433 
  12. F. Albu, B. Dorizzi, J.C.M. Mota, "Variable selection method using statistical sensitivity analysis for radial basis function networks: Application to adaptive channel equalization", International Symposium on Signal, Circuits & Systems, pp. 449-452, October 1997
  13. F. Albu, A. Mateescu, N. Dumitriu, "Architecture Selection for a Multilayer Feedforward Network", International Conference on Microelectronics and Computer Science, pp. 131-134, October 1997
  14. B. Dorizzi, J.C.M. Mota, F. Albu, "A step towards Equalization for Radio-mobile Channels: Neural Networks and Variable Selection", Workshop on "Emerging Techniques for Communication Terminals, Toulouse, France, COST 254, July 1997
  15. F. Albu, A. Mateescu, "Application of Multilayer Feedforward Network to the Voiced-Unvoiced-Silence Detection Problem", Proceedings of International Symposium on Communications'96, pp. 532-537, November 1996

 

BOOK CHAPTERS 

  1. A. Mateescu, F. Albu et all, chapter "Techniques Neuronales et Applications" of the book " Electronique, Physique et Signal pour les Telecommunications" (in French), Editura TEHNICA, 1997

 

Patents

RO 131754, Method and device for learning calligraphic writing, March 30, 2017

RO 133105, Device and method for maintaining physical health and stimulating creativity, September 7, 2018

 

Please contact me at felix_albu@ieee.org if interested in receiving the matlab code used for these papers.

 

 

The full list of citations of my papers

Google Scholar citations


 

  

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