Publications

Journals

  1. Jamil, W. and Bouchachia, A., 2022. Iterative ridge regression using the aggregating algorithm. Pattern Recognition Letters, 158, pp.34-41.
  2. Jamil, W. and Bouchachia, A., 2020. Competitive normalized least-squares regression. IEEE Transactions on Neural Networks and Learning Systems, 32(7), pp.3262-3267.
  3. Jamil, W. and Bouchachia, A., 2020. Online Bayesian shrinkage regression. Neural Computing and Applications, 32, pp.17759-17767.
  4. Jamil, W. and Bouchachia, A., 2020. Competitive regularised regression. Neurocomputing, 390, pp.374-383.

Conferences

  1. Jamil, Waqas, and Abdelhamid Bouchachia. "Model selection in online learning for times series forecasting." Advances in Computational Intelligence Systems: Contributions Presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK. Springer International Publishing, 2019.
  2. Jamil, Waqas, and Abdelhamid Bouchachia. "Online Bayesian shrinkage regression." Contributions Presented at the 27th European Symposium on Artificial Neural Networks, ESANN 2019, Bruges, Belgium, April 24-26, 2019.
  3. Jamil, Waqas, et al. "Scalable online learning for flink: SOLMA library." Proceedings of the 12th European Conference on Software Architecture: Companion Proceedings. 2018.
  4. Waqas Jamil, Yuri Kalnishkan and Abdelhamid Bouchachia, “Aggregation Algorithm Vs. Average for Time Series Prediction", ECML-PKDD 2016 Workshop on Large-scale Learning from Data Streams in Evolving Environments.