Search Results for author: Manar D. Samad

Found 9 papers, 0 papers with code

Attention versus Contrastive Learning of Tabular Data -- A Data-centric Benchmarking

no code implementations8 Jan 2024 Shourav B. Rabbani, Ivan V. Medri, Manar D. Samad

To the best of our knowledge, this is the first benchmarking paper with statistical analyses of attention and contrastive learning performances on a diverse selection of tabular data sets against traditional deep and machine learning baselines to facilitate further advances in this field.

Benchmarking Contrastive Learning

Between-Sample Relationship in Learning Tabular Data Using Graph and Attention Networks

no code implementations11 Jun 2023 Shourav B. Rabbani, Manar D. Samad

We investigate our hypothesis using several GNNs and state-of-the-art (SOTA) deep attention models to learn the between-sample relationship on ten tabular data sets by comparing them to traditional machine learning methods.

Deep Attention Representation Learning

Deep Imputation of Missing Values in Time Series Health Data: A Review with Benchmarking

no code implementations10 Feb 2023 Maksims Kazijevs, Manar D. Samad

The imputation of missing values in multivariate time series (MTS) data is critical in ensuring data quality and producing reliable data-driven predictive models.

Benchmarking Imputation +2

G-CEALS: Gaussian Cluster Embedding in Autoencoder Latent Space for Tabular Data Representation

no code implementations2 Jan 2023 Manar D. Samad, Sakib Abrar, Mohammad Bataineh

In this paper, we address the challenges of learning tabular data in contrast to image data and present a novel Gaussian Cluster Embedding in Autoencoder Latent Space (G-CEALS) algorithm by replacing t-distributions with multivariate Gaussian clusters.

Clustering Data Visualization +1

Effectiveness of Deep Image Embedding Clustering Methods on Tabular Data

no code implementations28 Dec 2022 Sakib Abrar, Ali Sekmen, Manar D. Samad

Eight clustering and state-of-the-art embedding clustering methods proposed for image data sets are tested on seven tabular data sets.

Clustering

Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features

no code implementations18 Sep 2022 Megan A. Witherow, Manar D. Samad, Norou Diawara, Haim Y. Bar, Khan M. Iftekharuddin

We propose domain adaptation to concurrently align distributions of adult and child expressions in a shared latent space for robust classification of either domain.

Age-Invariant Face Recognition Classification +3

GGNB: Graph-Based Gaussian Naive Bayes Intrusion Detection System for CAN Bus

no code implementations24 Aug 2021 Riadul Islam, Maloy K. Devnath, Manar D. Samad, Syed Md Jaffrey Al Kadry

Besides, existing intrusion detection systems (IDSs) often propose to tackle a specific type of attack, which may leave a system vulnerable to numerous other types of attacks.

Intrusion Detection

Effect of Text Processing Steps on Twitter Sentiment Classification using Word Embedding

no code implementations25 Jul 2020 Manar D. Samad, Nalin D. Khounviengxay, Megan A. Witherow

However, text processing steps are often performed using off-the-shelf routines and pre-built word dictionaries without optimizing for domain, application, and context.

General Classification Sentiment Analysis +4

Survey on Deep Neural Networks in Speech and Vision Systems

no code implementations16 Aug 2019 Mahbubul Alam, Manar D. Samad, Lasitha Vidyaratne, Alexander Glandon, Khan M. Iftekharuddin

This survey presents a review of state-of-the-art deep neural network architectures, algorithms, and systems in vision and speech applications.

Cloud Computing

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