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Usman Naseem, Matloob Khushi, Shah Khalid Khan, Kamran Shaukat and Mohammad Ali Moni
An enormous amount of clinical free-text information, such as pathology reports, progress reports, clinical notes and discharge summaries have been collected at hospitals and medical care clinics. These data provide an opportunity of developing many usef...
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Mimi Mukherjee and Matloob Khushi
Real-world datasets are heavily skewed where some classes are significantly outnumbered by the other classes. In these situations, machine learning algorithms fail to achieve substantial efficacy while predicting these underrepresented instances. To solv...
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Jaideep Singh and Matloob Khushi
Efficient Market Hypothesis states that stock prices are a reflection of all the information present in the world and generating excess returns is not possible by merely analysing trade data which is already available to all public. Yet to further the re...
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Mukul Jaggi, Priyanka Mandal, Shreya Narang, Usman Naseem and Matloob Khushi
Stock price prediction can be made more efficient by considering the price fluctuations and understanding people?s sentiments. A limited number of models understand financial jargon or have labelled datasets concerning stock price change. To overcome thi...
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Zexin Hu, Yiqi Zhao and Matloob Khushi
Predictions of stock and foreign exchange (Forex) have always been a hot and profitable area of study. Deep learning applications have been proven to yield better accuracy and return in the field of financial prediction and forecasting. In this survey, w...
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