activity
20162023
most citedMachine Learning Based Student Grade Prediction: A Case Study

86 citations · 309 across the 30 of their papers we have counts for

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13 papers · 1 filter

cs.LG20217 cited

District Wise Price Forecasting of Wheat in Pakistan using Deep Learning

Ahmed Rasheed, Muhammad Shahzad Younis, Farooq Ahmad +2

Wheat is the main agricultural crop of Pakistan and is a staple food requirement of almost every Pakistani household making it the main strategic commodity of the country whose ava…

cs.LG20213 cited

Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge

Adnan Qayyum, Kashif Ahmad, Muhammad Ahtazaz Ahsan +2

Despite significant improvements over the last few years, cloud-based healthcare applications continue to suffer from poor adoption due to their limitations in meeting stringent se…

cs.LG20204 cited

An Active Learning Method for Diabetic Retinopathy Classification with Uncertainty Quantification

Muhammad Ahtazaz Ahsan, Adnan Qayyum, Junaid Qadir +1

In recent years, deep learning (DL) techniques have provided state-of-the-art performance on different medical imaging tasks. However, the availability of good quality annotated me…

cs.LG2020

A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction

Khansa Rasheed, Junaid Qadir, Terence J. O'Brien +2

Prediction of seizure before they occur is vital for bringing normalcy to the lives of patients. Researchers employed machine learning methods using hand-crafted features for seizu…

cs.LG2020

Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning

Ihab Mohammed, Shadha Tabatabai, Ala Al-Fuqaha +4

Machine Learning (ML), and Deep Learning (DL) in particular, play a vital role in providing smart services to the industry. These techniques however suffer from privacy and securit…

cs.LG2020

Particle Swarm Optimized Federated Learning For Industrial IoT and Smart City Services

Basheer Qolomany, Kashif Ahmad, Ala Al-Fuqaha +1

Most of the research on Federated Learning (FL) has focused on analyzing global optimization, privacy, and communication, with limited attention focusing on analyzing the critical…