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Manar D. Samad
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2020 – today
- 2024
- [j8]Megan A. Witherow
, Manar D. Samad
Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features. IEEE Trans. Affect. Comput. 15(3): 847-858 (2024) - [c10]Ibna Kowsar, Shourav B. Rabbani, Manar D. Samad:
Attention-Based Imputation of Missing Values in Electronic Health Records Tabular Data. ICHI 2024: 177-182 - [i12]Shourav B. Rabbani, Ivan V. Medri, Manar D. Samad:
Attention versus Contrastive Learning of Tabular Data - A Data-centric Benchmarking. CoRR abs/2401.04266 (2024) - 2023
- [j7]Maksims Kazijevs, Manar D. Samad
Deep imputation of missing values in time series health data: A review with benchmarking. J. Biomed. Informatics 144: 104440 (2023) - [c9]Sakib Abrar, Ali Sekmen, Manar D. Samad:
Effectiveness of Deep Image Embedding Clustering Methods on Tabular Data. ICACI 2023: 1-7 - [c8]Omari Paul, Sakib Abrar, Richard Mu, Riadul Islam, Manar D. Samad:
Deep Image Segmentation for Defect Detection in Photo-lithography Fabrication. ISQED 2023: 1-7 - [i11]Manar D. Samad, Sakib Abrar, Mohammad Bataineh:
G-CEALS: Gaussian Cluster Embedding in Autoencoder Latent Space for Tabular Data Representation. CoRR abs/2301.00802 (2023) - [i10]Maksims Kazijevs, Manar D. Samad:
Deep Imputation of Missing Values in Time Series Health Data: A Review with Benchmarking. CoRR abs/2302.10902 (2023) - [i9]Shourav B. Rabbani, Manar D. Samad:
Between-Sample Relationship in Learning Tabular Data Using Graph and Attention Networks. CoRR abs/2306.06772 (2023) - 2022
- [j6]Manar D. Samad
Missing value estimation using clustering and deep learning within multiple imputation framework. Knowl. Based Syst. 249: 108968 (2022) - [j5]Sakib Abrar, Manar D. Samad
Perturbation of deep autoencoder weights for model compression and classification of tabular data. Neural Networks 156: 160-169 (2022) - [j4]Riadul Islam
GGNB: Graph-based Gaussian naive Bayes intrusion detection system for CAN bus. Veh. Commun. 33: 100442 (2022) - [c7]Maksims Kazijevs, Furkan A. Akyelken, Manar D. Samad:
Mining Social Media Data to Predict COVID-19 Case Counts. ICHI 2022: 104-111 - [i8]Manar D. Samad, Sakib Abrar, Norou Diawara:
Missing Value Estimation using Clustering and Deep Learning within Multiple Imputation Framework. CoRR abs/2202.13734 (2022) - [i7]Manar D. Samad, Sakib Abrar:
Perturbation of Deep Autoencoder Weights for Model Compression and Classification of Tabular Data. CoRR abs/2205.08358 (2022) - [i6]Megan A. Witherow, Manar D. Samad, Norou Diawara, Haim Y. Bar, Khan M. Iftekharuddin:
Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features. CoRR abs/2209.08614 (2022) - [i5]Sakib Abrar, Manar D. Samad:
Are Deep Image Embedding Clustering Methods Effective for Heterogeneous Tabular Data? CoRR abs/2212.14111 (2022) - 2021
- [c6]Raisul Arefin, Manar D. Samad, Furkan A. Akyelken, Arash Davanian:
Non-transfer Deep Learning of Optical Coherence Tomography for Post-hoc Explanation of Macular Disease Classification. ICHI 2021: 48-52 - [c5]Manar D. Samad, Rahim Hossain, Khan M. Iftekharuddin:
Dynamic Perturbation of Weights for Improved Data Reconstruction in Unsupervised Learning. IJCNN 2021: 1-7 - [i4]Riadul Islam, Maloy Kumar Devnath, Manar D. Samad, Syed Md Jaffrey Al Kadry:
GGNB: Graph-Based Gaussian Naive Bayes Intrusion Detection System for CAN Bus. CoRR abs/2108.10908 (2021) - 2020
- [j3]Mahbubul Alam, Manar D. Samad, Lasitha Vidyaratne, Alexander Glandon, Khan M. Iftekharuddin:
Survey on Deep Neural Networks in Speech and Vision Systems. Neurocomputing 417: 302-321 (2020) - [j2]Muhammad Baqui
A novel framework for automated monitoring and analysis of high density pedestrian flow. J. Intell. Transp. Syst. 24(6): 585-597 (2020) - [i3]Sabber Ahamed, Manar D. Samad:
Information Mining for COVID-19 Research From a Large Volume of Scientific Literature. CoRR abs/2004.02085 (2020) - [i2]Manar D. Samad, Nalin D. Khounviengxay, Megan A. Witherow:
Effect of Text Processing Steps on Twitter Sentiment Classification using Word Embedding. CoRR abs/2007.13027 (2020)
2010 – 2019
- 2019
- [c4]Manar D. Samad, Linlin Yin:
Non-linear regression models for imputing longitudinal missing data. ICHI 2019: 1-3 - [i1]Mahbubul Alam, Manar D. Samad, Lasitha Vidyaratne, Alexander Glandon, Khan M. Iftekharuddin:
Survey on Deep Neural Networks in Speech and Vision Systems. CoRR abs/1908.07656 (2019) - 2018
- [c3]Manar D. Samad, Megan A. Witherow:
A Machine Learning Pipeline to Optimally Utilize Limited Samples in Predictive Modeling. ICCCNT 2018: 1-5 - 2017
- [c2]Chester V. Dolph, Mahbubul Alam, Zeina A. Shboul
Deep learning of texture and structural features for multiclass Alzheimer's disease classification. IJCNN 2017: 2259-2266 - 2016
- [j1]Manar D. Samad, Khan M. Iftekharuddin:
Frenet Frame-Based Generalized Space Curve Representation for Pose-Invariant Classification and Recognition of 3-D Face. IEEE Trans. Hum. Mach. Syst. 46(4): 522-533 (2016) - 2015
- [c1]Manar D. Samad, Jonna L. Bobzien, John W. Harrington, Khan M. Iftekharuddin:
Analysis of facial muscle activation in children with autism using 3D imaging. BIBM 2015: 337-342
Coauthor Index
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