Anik Sen

Anik Sen

PhD student at Drexel University

Publications

Journal Articles

  1. M. Akhter, S. M. M. Hossain, R. S. Nigar, S. Paul, K. M. A. Kamal, Anik Sen, and I. H. Sarker, “Covid-19 fake news detection using deep learning model,” Annals of Data Science (Q2), SCIE, pp. 1–32, 2024.
  2. Anik Sen and Kaushik Deb. Categorization of actions in soccer videos using a combination of transfer learning and gated recurrent unit. ICT Express (Q1), SCIE, volume 8, pages 65–71. Elsevier, 2022, (Impact Factor: 4.754).
  3. Anik Sen, Kaushik Deb, Pranab Kumar Dhar, and Takeshi Koshiba. Cricshotclassify: an approach to classifying batting shots from cricket videos using a convolutional neural network and gated recurrent unit. Sensors (Q2), SCIE, volume 21, page 2846. MDPI, 2021, (Impact Factor: 3.847).
  4. Tarakashar Das, Sabrina Mobassirin, Syed Mohammod Minhaz Hossain, Aka Das, Anik Sen, Khaleque Md Aashiq Kamal, and Kaushik Deb. Patient questionnaires based parkinson’s disease classification using artificial neural network. Annals of Data Science (Q2), SCIE. Springer, 2023.

Conference Papers and Book Chapters

  1. Anik Sen, M. Mainali, C. B. Rauch, U. Addison, M. W. Floyd, P. Goel, J. Karneeb, R. Kulhanek, O. Larue, D. Ménager, M. Molineaux, J. T. Turner, and R. O. Weber. Counterfactual-based synthetic case generation. In Case-Based Reasoning Research and Development, Springer Nature Switzerland, 2024, pp. 388–403.
  2. M. Molineaux, R. O. Weber, M. W. Floyd, D. Menager, O. Larue, U. Addison, R. Kulhanek, N. Reifsnyder, C. Rauch, M. Mainali, Anik Sen, P. Goel, J. Karneeb, J. T. Turner, and J. Meyer. Aligning to human decision-makers in military medical triage. In Case-Based Reasoning Research and Development, Springer, Springer Nature Switzerland, 2024, pp. 371–387.
  3. C. B. Rauch, U. Addison, M. Floyd, P. Goel, J. Karneeb, R. Kulhanek, O. Larue, D. Ménager, M. Mainali, M. Molineaux, A. Pease, Anik Sen, J. Turner, and R. Weber. Algorithmic decision-making in difficult scenarios. In Proceedings of the AAAI Symposium Series, vol. 3, Association for the Advancement of Artificial Intelligence (AAAI), May 2024, pp. 583–585.
  4. Anik Sen, Syed Md Minhaz Hossain, Russo Mohammad Ashraf Uddin, Kaushik Deb, and Kang-Hyun Jo. Sequence recognition of indoor tennis actions using transfer learning and long short-term memory. In 28th International Workshop on Frontiers of Computer Vision (IW-FCV), Hiroshima, Japan, pages 312–324. Springer, 2022.
  5. Anik Sen, Syed Md Minhaz Hossain, Mohammad Ashraf Russo, Kaushik Deb, and Kang-Hyun Jo. Fine-grained soccer actions classification using deep neural network. In 15th International Conference on Human System Interaction (HSI), Melbourne, Australia, pages 1–6. IEEE, 2022.
  6. Syed Md. Minhaz Hossain, Khaleque Md. Aashiq Kamal, Anik Sen, and Iqbal H. Sarker. Tf-idf feature-based spam filtering of mobile sms using machine learning approach. In International Conference on Big Data, IoT and Machine Learning. Taylor & Francis, 2023.
  7. Faisal Ahmed, Mohammad Naim Uddin Rahi, Raihan Uddin, Anik Sen, Mohammad Shahadat Hossain, and Karl Andersson. Machine learning-based tomato leaf disease diagnosis using radiomics features. In Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering: TCCE 2022, pages 25–35. Springer, 2023.
  8. Saadman Sakib, Anik Sen, and Kaushik Deb. A transfer learning approach to recognize pedestrian attributes. In International Conference on Big Data, IoT and Machine Learning, 2023.
  9. Dhrubajyoti Das, Anik Sen, Syed Md. Minhaz Hossain, and Kaushik Deb. Trash image classification using transfer learning based deep neural network. In Intelligent Computing and Optimization, pages 561–571. Springer International Publishing, 2022.
  10. Syed Md. Minhaz Hossain, Anik Sen, and Kaushik Deb. Detecting spam sms using self attention mechanism. In Intelligent Computing & Optimization, pages 175–184. Springer International Publishing, 2022.
  11. Syed Md. Minhaz Hossain, Jayed Akbar Sumon, Md. Iftaker Alam, Khaleque Md. Aashiq Kamal, Anik Sen, and Iqbal H. Sarker. Classifying sentiments from movie reviews using deep neural networks. In Intelligent Computing & Optimization, pages 399–409. Springer International Publishing, 2022.
  12. Syed Md Minhaz Hossain, Khaleque Md Aashiq Kamal, Anik Sen, and Kaushik Deb. Tomato leaf disease recognition using depthwise separable convolution. In Intelligent Computing and Optimization: Proceedings of the 4th International Conference on Intelligent Computing and Optimization 2021 (ICO2021) 3, pages 341–351. Springer, 2022.
  13. Syed Md Hossain, Jayed Akbar Sumon, Anik Sen, Md Alam, Khaleque Md Kamal, Hamed Alqahtani, and Iqbal H Sarker. Spam filtering of mobile sms using cnn–lstm based deep learning model. In International Conference on Hybrid Intelligent Systems, pages 106–116. Springer, 2021.