4 papers
Optimizing Multi-Stuttered Speech Classification: Leveraging Whisper's Encoder for Efficient Parameter Reduction in Automated Assessment
Huma Ameer, Seemab Latif, Mehwish Fatima
The automated classification of stuttered speech has significant implications for timely assessments providing assistance to speech language pathologists. Despite notable advanceme…
Cross-Lingual News Event Correlation for Stock Market Trend Prediction
Sahar Arshad, Nikhar Azhar, Sana Sajid +2
In the modern economic landscape, integrating financial services with Financial Technology (FinTech) has become essential, particularly in stock trend analysis. This study addresse…
A Benchmark Dataset with Larger Context for Non-Factoid Question Answering over Islamic Text
Faiza Qamar, Seemab Latif, Rabia Latif
Accessing and comprehending religious texts, particularly the Quran (the sacred scripture of Islam) and Ahadith (the corpus of the sayings or traditions of the Prophet Muhammad), i…
Enhancing Profitability and Investor Confidence through Interpretable AI Models for Investment Decisions
Sahar Arshad, Seemab Latif, Ahmad Salman +1
Financial forecasting plays an important role in making informed decisions for financial stakeholders, specifically in the stock exchange market. In a traditional setting, investor…