Doe, J. & Smith, J. (2022). Exploring the Landscape: An In-Depth Survey of Diverse Machine Learning Techniques for Advancing Natural Language Processing. Journal of Machine Learning Research. 20 1-20
Doe, J., & Kim, D. (2020). Unveiling the Potential: Investigating the Efficacy of Adversarial Training in Enhancing Deep Neural Network Performance. IEEE Transactions on Neural Networks and Learning Systems. 29 9 4050-4061
Doe, J., & Lee, S. (2019). Navigating the Visual Realm: An Extensive Survey of Diverse Machine Learning Algorithms for Advancing Computer Vision Applications. Pattern Recognition Letters. 3 4 11-24
Doe, J., Smith, J., & Johnson, B. (2019). Delving into Emotions: Employing Deep Learning for Effective Sentiment Analysis in Social Media Discourse. Journal of Artificial Intelligence Research. 54 1 1-23
Doe, J., Brown, M., & Chen, L. (2017). Journeying into Clarity: A Comprehensive Survey of Approaches and Strategies for Achieving Explainable Deep Learning. Journal of Machine Learning Research. 19 1-28
Articles Published in Conference Proceedings
Doe, J. & Jones, K. (2021). Harnessing Neural Networks: Employing Deep Learning to Analyze Sentiments within Twitter Data. Proceedings of the 28th International Conference on Neural Information Processing. 100-110
Doe, J. & Johnson, M., (2020). Exploring Knowledge Transfer: A Practical Examination of Transfer Learning in the Context of Natural Language Processing. Proceedings of the 30th Annual Conference on Neural Information Processing Systems. 200-210
