activity
20192025
most citedA Multi-cascaded Model with Data Augmentation for Enhanced Paraphrase Detection in Short Texts

39 citations · 134 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2025

CATVis: Context-Aware Thought Visualization

Tariq Mehmood, Hamza Ahmad, Muhammad Haroon Shakeel +1

EEG-based brain-computer interfaces (BCIs) have shown promise in various applications, such as motor imagery and cognitive state monitoring. However, decoding visual representation…

cs.CL2020★ 19 cited

Language Independent Sentiment Analysis

Muhammad Haroon Shakeel, Turki Alghamidi, Safi Faizullah +1

Social media platforms and online forums generate rapid and increasing amount of textual data. Businesses, government agencies, and media organizations seek to perform sentiment an…

cs.CL2020★ 19 cited

Adapting Deep Learning for Sentiment Classification of Code-Switched Informal Short Text

Muhammad Haroon Shakeel, Asim Karim

Nowadays, an abundance of short text is being generated that uses nonstandard writing styles influenced by regional languages. Such informal and code-switched content are under-res…

cs.CL2019★ 39 cited

A Multi-cascaded Model with Data Augmentation for Enhanced Paraphrase Detection in Short Texts

Muhammad Haroon Shakeel, Asim Karim, Imdadullah Khan

Paraphrase detection is an important task in text analytics with numerous applications such as plagiarism detection, duplicate question identification, and enhanced customer suppor…

eess.IV2019★ 4 cited

Patch-based Generative Adversarial Network Towards Retinal Vessel Segmentation

Waseem Abbas, Muhammad Haroon Shakeel, Numan Khurshid +1

Retinal blood vessels are considered to be the reliable diagnostic biomarkers of ophthalmologic and diabetic retinopathy. Monitoring and diagnosis totally depends on expert analysi…

cs.LG2019★ 37 cited

Predicting Attributes of Nodes Using Network Structure

Sarwan Ali, Muhammad Haroon Shakeel, Imdadullah Khan +2

In many graphs such as social networks, nodes have associated attributes representing their behavior. Predicting node attributes in such graphs is an important problem with applica…