IIIT-Delhi Institutional Repository

Browsing Year-2021 by Subject "Machine Learning"

Browsing Year-2021 by Subject "Machine Learning"

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  • Thulasidoss, Bharath Kumar; Garimella, Pavan Kumar; Sethi, Tavpritesh (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT- Delhi, 2021-05)
    In an era where the volume of data sets for a particular topic keeps increasing, it is necessary to have quality checks on the data to keep it relevant to modern learning algorithms. Quality parameters provide an objective ...
  • Mehrotra, Pragyan; Shah, Rajiv Ratn (Advisor); Kumar, Rajesh (Advisor) (IIIT-Delhi, 2021-12)
    Previous studies have demonstrated that commonly studied (vanilla) touch-based continuous authentication systems (V-TCAS) are susceptible to population attack. This paper proposes a novel Generative Adversarial Network ...
  • Kochar, Adwit Singh; Bansal, Pabitra; Singh, Rahul; Agrawal, Yashwin; Deb, Sujay (Advisor) (IIIT-Delhi, 2021-12)
    Critical health parameters such as SpO2 and Blood Pressure play a massive role in determining a person’s health condition, and hence their tracking and monitoring are essential. Currently, the problem with health monitoring ...
  • Singh, Abhishek Pratap; Mitra, Abhijit (Advisor); Srivastava, Anand (Advisor) (IIIT-Delhi, 2021-05)
    The extensive growth in the demand for network bandwidth has created new challenges for net- work operators in the last few years. Traditional optical network technology is no longer enough to handle the massive bandwidth ...
  • Goel, Vasu; Sahnan, Dhruv; Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2021-05)
    Curbing hate speech is undoubtedly a major challenge for online microblogging platforms like Twitter. While there have been studies around hate speech detection, it is not clear how hate speech _nds its way into an online ...
  • Sharma, Abhinav; Purandare, Rahul (Advisor) (IIIT-Delhi, 2021-05)
    Commenting is described as the process of placing Human Readable Descriptions within a com- puter program/code that summarizes the functionality of the code within which the description is written. The strength of a good ...

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