Publications

  • Nikesh Bajaj, Jesús Requena Carrión, Francesco Bellotti, Riccardo Berta, Alesandro De Gloria. “Analysis of Factors Affecting the Auditory Attention of Non-native Speakers in e-Learning Environments.The Electronic Journal of e-Learning, 19(3), pp. 159-169. Open Access
  • Nikesh Bajaj, Jesús Requena Carrión, Francesco Bellotti, Riccardo Berta, Alesandro De Gloria. “Automatic and tunable algorithm for EEG artifact removal using wavelet decomposition with applications in predictive modeling during auditory tasks.Biomedical Signal Processing and Control, Volume 55, 2020/1 (101624). Elsevier. Access [Python code will be updated soon on PhyAAt library]
  • Nikesh Bajaj, Tracy Goodluck Constance, Marvin Rajwadi, Julie A. Wall, Mansour Moniri, Cornelius Glackin, Nigel Cannings, Chris Woodruff and James Laird. Fraud detection in telephone conversations for financial services using linguistic features. 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), AI for Social Good Workshop, Vancouver, Canada.
  • Nikesh Bajaj, Jesús Requena Carrión, Francesco Bellotti. PhyAAt: Physiology of Auditory Attention to Speech Dataset. PhyAAt project, arXiv preprint arXiv:2005.11577 (2020)., preprint

 

  • Bajaj, N., Bellotti, F., Berta, R., Carriòn, J. R., & De Gloria, A. (2018, December). “Auditory Attention, Implications for Serious Game Design.” In International Conference on Games and Learning Alliance (pp. 201-209). Springer, Cham.
  • Bajaj, Nikesh, Francesco Bellotti, Riccardo Berta, and Alessandro De Gloria. “A Neuroscience Based Approach to Game Based Learning Design.” In International Conference on Games and Learning Alliance, pp. 444-454. Springer, Cham, 2016.
  • Deora, Divya, and Nikesh Bajaj. “Indian sign language recognition.” In Emerging Technology Trends in Electronics, Communication and Networking (ET2ECN), 2012 1st International Conference on, pp. 1-5. IEEE, 2012. 
  • Dogra, Ashish Kumar, Nikesh Bajaj, and Harish Kumar Dogra. “Facial Expression Recognition using Neural Network with Regularized Back-propagation Algorithm.” International Journal of Computer Applications 77, no. 5 (2013). 
  • Bajaj, Nikesh. “Enhancement of A5/1: Using variable feedback polynomials of LFSR.” In Emerging Trends in Networks and Computer Communications (ETNCC), 2011 International Conference on, pp. 55-60. IEEE, 2011. 
  • Bajaj, Nikesh. “Effects of Parameters of Enhanced A5.” International Journal of Computer Applications 2, no. 2 (2011): 7-13. 
  • Bajaj, Nikesh, and Rahul Kashyap. “Extension of wavelet family in fractional fourier domain.” In Emerging Technology Trends in Electronics, Communication and Networking (ET2ECN), 2012 1st International Conference on, pp. 1-4. IEEE, 2012. 
  • Bajaj, Nikesh, and Amit Thakur. “Enhancement of RC5 for image encryption.” In Image Information Processing (ICIIP), 2011 International Conference on, pp. 1-5. IEEE, 2011. 
  • Kharbanda, Mohina, and Nikesh Bajaj. “An exploration of fractal art in fashion design.” In Communications and Signal Processing (ICCSP), 2013 International Conference on, pp. 226-230. IEEE, 2013. 
  • Kaul, Nitin, and Nikesh Bajaj. “Audio in Image Steganography based on Wavelet Transform.” International Journal of Computer Applications 79, no. 3 (2013). 
  • Kaur, Rosepreet, and Nikesh Baja. “Enhancement in Feedback Polynomials of LFSR used in A5/1 Stream Cipher.” International Journal of Computer Applications 57, no. 19 (2012). 
  • Singh, Ajmer, and Nikesh Bajaj. “Analysis of signals in Fractional Fourier Domain.” In Emerging Trends in Networks and Computer Communications (ETNCC), 2011 International Conference on, pp. 259-262. IEEE, 2011. 
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