activity
20182026
most citedPredicting the Effects of News Sentiments on the Stock Market

122 citations · 297 across the 21 of their papers we have counts for

collaborators

23 papers

cs.AI2026

PLeDO: Pain Level Detection for Osteoarthritis from EMR Data

Yuhao Chen, Jiahao Cai, Nafiz Sadman +3

Osteoarthritis (OA) is a progressive chronic joint disease resulting in a breakdown of articular cartilage and bone when damaged joint tissues are not able to normally repair thems…

cs.CV2025

Interpreting Biomedical VLMs on High-Imbalance Out-of-Distributions: An Insight into BiomedCLIP on Radiology

Nafiz Sadman, Farhana Zulkernine, Benjamin Kwan

In this paper, we construct two research objectives: i) explore the learned embedding space of BiomedCLIP, an open-source large vision language model, to analyse meaningful class s…

cs.LG2024★ 1 cited

SDA-GRIN for Adaptive Spatial-Temporal Multivariate Time Series Imputation

Amir Eskandari, Aman Anand, Drishti Sharma +1

In various applications, the multivariate time series often suffers from missing data. This issue can significantly disrupt systems that rely on the data. Spatial and temporal depe…

eess.IV2024★ 4 cited

Survey: Transformer-based Models in Data Modality Conversion

Elyas Rashno, Amir Eskandari, Aman Anand +1

Transformers have made significant strides across various artificial intelligence domains, including natural language processing, computer vision, and audio processing. This succes…

cs.AI2024★ 41 cited

Leveraging Large Language Models for Patient Engagement: The Power of Conversational AI in Digital Health

Bo Wen, Raquel Norel, Julia Liu +3

The rapid advancements in large language models (LLMs) have opened up new opportunities for transforming patient engagement in healthcare through conversational AI. This paper pres…

cs.CL2024

Comparative Analysis of Open-Source Language Models in Summarizing Medical Text Data

Yuhao Chen, Zhimu Wang, Bo Wen +1

Unstructured text in medical notes and dialogues contains rich information. Recent advancements in Large Language Models (LLMs) have demonstrated superior performance in question a…

cs.CV2023★ 3 cited

CoBEVFusion: Cooperative Perception with LiDAR-Camera Bird's-Eye View Fusion

Donghao Qiao, Farhana Zulkernine

Autonomous Vehicles (AVs) use multiple sensors to gather information about their surroundings. By sharing sensor data between Connected Autonomous Vehicles (CAVs), the safety and r…

cs.LG2023★ 1 cited

A Preliminary Study on Pattern Reconstruction for Optimal Storage of Wearable Sensor Data

Sazia Mahfuz, Farhana Zulkernine

Efficient querying and retrieval of healthcare data is posing a critical challenge today with numerous connected devices continuously generating petabytes of images, text, and inte…

cs.AI2022

ProjB: An Improved Bilinear Biased ProjE model for Knowledge Graph Completion

Mojtaba Moattari, Sahar Vahdati, Farhana Zulkernine

Knowledge Graph Embedding (KGE) methods have gained enormous attention from a wide range of AI communities including Natural Language Processing (NLP) for text generation, classifi…

cs.AI2022

A Web Application for Experimenting and Validating Remote Measurement of Vital Signs

Amtul Haq Ayesha, Donghao Qiao, Farhana Zulkernine

With a surge in online medical advising remote monitoring of patient vitals is required. This can be facilitated with the Remote Photoplethysmography (rPPG) techniques that compute…

cs.CV2022★ 3 cited

Adaptive Feature Fusion for Cooperative Perception using LiDAR Point Clouds

Donghao Qiao, Farhana Zulkernine

Cooperative perception allows a Connected Autonomous Vehicle (CAV) to interact with the other CAVs in the vicinity to enhance perception of surrounding objects to increase safety a…

cs.CV2022★ 2 cited

ReViSe: Remote Vital Signs Measurement Using Smartphone Camera

Donghao Qiao, Amtul Haq Ayesha, Farhana Zulkernine +2

We propose an end-to-end framework to measure people's vital signs including Heart Rate (HR), Heart Rate Variability (HRV), Oxygen Saturation (SpO2) and Blood Pressure (BP) based o…

cs.LG2021

Incremental Community Detection in Distributed Dynamic Graph

Tariq Abughofa, Ahmed A. Harby, Haruna Isah +1

Community detection is an important research topic in graph analytics that has a wide range of applications. A variety of static community detection algorithms and quality metrics…

cs.DC2020

A Big Data Lake for Multilevel Streaming Analytics

Ruoran Liu, Haruna Isah, Farhana Zulkernine

Large organizations are seeking to create new architectures and scalable platforms to effectively handle data management challenges due to the explosive nature of data rarely seen…

cs.IR2020

Towards a Natural Language Query Processing System

Chantal Montgomery, Haruna Isah, Farhana Zulkernine

Tackling the information retrieval gap between non-technical database end-users and those with the knowledge of formal query languages has been an interesting area of data manageme…

cs.HC2019

A Voice Interactive Multilingual Student Support System using IBM Watson

Kennedy Ralston, Yuhao Chen, Haruna Isah +1

Systems powered by artificial intelligence are being developed to be more user-friendly by communicating with users in a progressively human-like conversational way. Chatbots, also…

eess.SY2019★ 16 cited

A Scalable Framework for Multilevel Streaming Data Analytics using Deep Learning

Shihao Ge, Haruna Isah, Farhana Zulkernine +1

The rapid growth of data in velocity, volume, value, variety, and veracity has enabled exciting new opportunities and presented big challenges for businesses of all types. Recently…

cs.CL2018★ 122 cited

Predicting the Effects of News Sentiments on the Stock Market

Dev Shah, Haruna Isah, Farhana Zulkernine

Stock market forecasting is very important in the planning of business activities. Stock price prediction has attracted many researchers in multiple disciplines including computer…

cs.DC2018★ 51 cited

A Scalable and Robust Framework for Data Stream Ingestion

Haruna Isah, Farhana Zulkernine

An essential part of building a data-driven organization is the ability to handle and process continuous streams of data to discover actionable insights. The explosive growth of in…

cs.CY2018★ 16 cited

A Voice Controlled E-Commerce Web Application

Mandeep Singh Kandhari, Farhana Zulkernine, Haruna Isah

Automatic voice-controlled systems have changed the way humans interact with a computer. Voice or speech recognition systems allow a user to make a hands-free request to the comput…

cs.LG2018★ 24 cited

Detecting Irregular Patterns in IoT Streaming Data for Fall Detection

Sazia Mahfuz, Haruna Isah, Farhana Zulkernine +1

Detecting patterns in real time streaming data has been an interesting and challenging data analytics problem. With the proliferation of a variety of sensor devices, real-time anal…

cs.HC2018★ 6 cited

The use of Virtual Reality in Enhancing Interdisciplinary Research and Education

Tiffany Leung, Farhana Zulkernine, Haruna Isah

Virtual Reality (VR) is increasingly being recognized for its educational potential and as an effective way to convey new knowledge to people, it supports interactive and collabora…

cs.CL2018★ 7 cited

Xu: An Automated Query Expansion and Optimization Tool

Morgan Gallant, Haruna Isah, Farhana Zulkernine +1

The exponential growth of information on the Internet is a big challenge for information retrieval systems towards generating relevant results. Novel approaches are required to ref…