Rabbani, S. B, Medri, I. V., & Samad, M. D. (2025). Deep Clustering of Tabular Data by Weighted Gaussian Distribution Learning, Neurocomputing, Vol. 623, 2025.
Rabbani, S. B., Medri, I. V., & Samad, M. D. (2024). Attention versus Contrastive Learning of Tabular Data - A Data-centric Benchmarking, International Journal of Data Science and Analytics, https://doi.org/10.1007/s41060-024-00681-z
Witherow, M. A., Samad, M. D., Diawara, N., Bar, H. Y., & Iftekharuddin, K. M. (2023). Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features. IEEE, Transactions on Affective Computing, July, 1–12.
Kazijevs, M., & Samad, M. D. (2023). Deep Imputation of Missing Values in Time Series Health Data: A Review with Benchmarking. Journal of Biomedical Informatics, 144, 1–25.
Samad, M. D., Abrar, S., & Diawara, N. (2022). Missing value estimation using clustering and deep learning within multiple imputation framework. Knowledge-Based Systems, 249, (Cited 100+ times) 108968. https://doi.org/10.1016/j.knosys.2022.108968
Kowsar, I., Rabbani, S. B., Hou, Y., & Samad, M. D. (2025). DeepIFSAC: Deep imputation of missing values using feature and sample attention within contrastive framework. Knowledge-Based Systems, 318, 113506. https://doi.org/10.1016/j.knosys.2025.113506
Hou, J., Akbar, M. Akbar, Samad, M. D. & Ouyang L., ”Spatiotemporal Deep Learning to Forecast Storm Surge Water Levels and Storm Trajectory: Case Study Hurricane Harvey”, Journal of Marine Sci. and Eng., 2025, 13, 1780.
Abrar, S., & Samad, M. D. (2022). Perturbation of deep autoencoder weights for model compression and classification of tabular data. Neural Networks, 156, 160–169. https://doi.org/10.1016/j.neunet.2022.09.020
· Fernando, D., Alqawba, M., Samad, M., & Diawara, N. (2022). Review of Copula for Bivariate Distributions of Zero-Inflated Count Time Series Data. International Journal of Statistics and Probability, 11(6), 28. https://doi.org/10.5539/ijsp.v11n6p28
R. Islam, M. K. Devnath, M. D. Samad, S. J. Al Kadry, "GGNB: Graph-based Gaussian naive Bayes intrusion detection system for CAN bus, Vehicular Communications, vol 33, 2022, 100442, https://doi.org/10.1016/j.vehcom.2021.100442. (Impact factor: 6.9)
M.D. Samad, N.D. Khounviengxay, and M. A Witherow. Effect of text processing steps on
Twitter sentiment classification using word embedding, arXiv:2007.13027, 2021
S. Ahamed and M. D. Samad, "Information Mining for {COVID-19} Research From a Large Volume of Scientific Literature", ArXiv, 2020, https://arxiv.org/abs/2004.02085.
Samad MD, Sen S. A probabilistic approach to identifying run scoring advantage in the order of playing cricket. International Journal of Sports Science & Coaching. 2021;16(4):1011-1020. (Impact Factor: 2.15)
M. Alam, M. Samad, L. Vidyaratne, A. Glandon, & K. Iftekharuddin, Survey on Deep Neural Networks in Speech and Vision Systems. Neurocomputing, Vol. 417, page 302-321, 2020 (Impact Factor: 5.71)
M. Baqui, M. Samad, Rainald Lohner, "A Novel Framework for Automated Monitoring and Analysis of High Density Pedestrian Flow" J. of Intelligent Transportation Systems: Technology, Planning, and Operations, Vol. 24, No 6, 2020 (Impact Factor: 4.23)
M. Samad, J. Bobzien, J. Harrington, and K. Iftekharuddin, A Pilot Study to Identify Autism Related Traits in Spontaneous Facial Actions Using Computer Vision, Research in Autism Spectrum Disorders, Vol. 64, pp. 14-24, 2019
S. Reza, M. Samad, K. Jones and K. Iftekharuddin, "Texture-based radiomics for glioma grading in MRI and validation using histopathology images," Journal of Medical Imaging, Vol. 6, No. 02, 2019.
M. Samad, A. Ulloa, G. Weiner, et al. Predicting Survival from Large Echocardiography and Electronic Health Record Datasets: Optimization with Machine Learning, J. of American College of Cardiology (JAAC), Cardiovascular Imaging. Impact factor: 10.2.
M. Samad, G. Weiner, M. Arbabshirani, et al. Predicting Deterioration of Ventricular Function in Patients with Repaired Tetralogy of Fallot Using Machine Learning, the European Heart Journal - Cardiovascular Imaging (2018), Impact factor: 5.99.
M. Samad, N. Diawara, J. Bobzien, J. Harrington, and K. Iftekharuddin, "A Feasibility study of autism behavioral markers in spontaneous facial, visual, and hand movement response data, IEEE Trans on Neural Systems and Rehabilitation Engineering, 2017, Impact factor: 4.00.
M. Samad and K. Iftekharuddin, Frenet frame-based generalized space curve representation for pose invariant classification and recognition of 3D Face. IEEE Trans. on Human-Machine Systems (THMS), vol. 46, no. 4, pp. 522 - 533, 2016. Impact factor: 2.56.
M. Samad, J. Bobzien, J. Harrington, and K. Iftekharuddin, Non-intrusive optical imaging of face to probe physiological traits in autism spectrum disorder. J. of Optics and Laser Technology: Hot topics on bio-imaging Vol. 77, pp. 221-228, Mar. 2016. Impact factor:2.50
Hou, Y., Rabbani, S. B., Hong, L., Diawara, N., & Samad, M. D. (2025). Causal Explainability of Machine Learning in Heart Failure Prediction from Electronic Health Records. 26th Int. Conf. on Information Reuse and Integration for Data Science. http://arxiv.org/abs/2506.03068
· Kowsar, I., Rabbani, S. B., Akhter, K. F. B., & Samad, M. D. (2024). Contrastive Domain Adaptation by Minimizing Divergence in Source-Target Image Distributions. Proceedings - 2024 8th International Conference on Imaging, Signal Processing and Communications, ICISPC 2024, 57–63. https://doi.org/10.1109/ICISPC63824.2024.00018
Rabbani, S. B., I. Kowsar, I., and Samad, M.D. (2024) “Transfer Learning of Tabular Data by Finetuning Large Language Models,” the 13th International Conference on Electrical and Computer Engineering, December 18-20, Dhaka, Bangladesh.
I. Kowsar, I., Rabbani, S. B., Akhter,K. F. B. and Samad, M.D. (2024). “Contrastive domain adaptation by minimizing divergence in source-target image distributions,” in International Conference on Imaging, Signal Processing and Communications (ICISPC), July 19-21, Fukuoka, Japan.
· Kowsar, I., Rabbani, S. B., and Samad, M. D. (2024). Attention-based Imputation of Missing Values in Electronic Health Records Tabular Data. In The 12th IEEE International Conference on Healthcare Informatics (ICHI), June 3-6, Orlando, FL.
Kowsar, I., Rabbani, S. B., Akhter, K. F. B., and Samad, M. D. (2023). Deep Clustering of Electronic Health Records Tabular Data for Clinical Interpretation. In 2023 IEEE International Conference on Telecommunications and Photonics (ICTP) (pp. 01-05).
Rabbani, S. B., and Samad, M. D. (2023). Between-Sample Relationship in Learning Tabular Data Using Graph and Attention Networks. In 2023 Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE) (pp. 1498-1504).
M. D. Samad and A. Sekmen, "Manifold Regularized Convolutional Neural Network," 2021 International Conference on Engineering and Emerging Technologies (ICEET), 2021, pp. 1-6, doi: 10.1109/ICEET53442.2021.9659657.
R. Arefin, M. D. Samad, F. A. Akyelken and A. Davanian, "Non-transfer Deep Learning of Optical Coherence Tomography for Post-hoc Explanation of Macular Disease Classification," 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI), 2021, pp. 48-52, doi: 10.1109/ICHI52183.2021.00020.
M. D. Samad, R. Hossain and K. M. Iftekharuddin, "Dynamic Perturbation of Weights for Improved Data Reconstruction in Unsupervised Learning," 2021 International Joint Conference on Neural Networks (IJCNN), 2021, pp. 1-7, doi: 10.1109/IJCNN52387.2021.9533539.
M. Samad and M. Witherow, "A Machine Learning Pipeline to Optimally Utilize Limited Samples in Predictive Modeling", 9th Int. Conf. on Computing, Communication and Networking Technologies (ICCCNT), 2018.
C. Dolph, M. Alam, Z. Shboul, M. Samad and K. Iftekharuddin, Deep Learning of Texture and Structural Features for Multiclass Alzheimer's Disease Classification. Int. Joint Conf. on Neural Networks (IJCNN), pp. 2259-2266 2017.
M. Samad, J. Bobzien, J. Harrington, and K. Iftekharuddin, Analysis of Facial Muscle Actions in Children with Autism using 3D Imaging 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 337-342, Washington DC, USA, Nov. 2015. (Acceptance rate:19%)
M. Samad and K. Iftekharuddin, Radial curve-based classification and localization of features for 3D facial expressions. Proceedings of SPIE Defense, Security, and Sensing 3D-Imaging, Visualization, and Display, Baltimore, Maryland, USA, Jun. 5, 2014.
M. Samad, Y. Hu, and G. R. Sutherland, Eect of force feedback from each DOF on the motion accuracy of a surgical tool in performing a robot-assisted tracing task," 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), pp. 2093 - 2096, Buenos Aires, Argentina, August, 2010.