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  • Misra, Neeldhara; Mittal, Harshil (Cornell University Library, 2020-05)
    We study the problem of Imbalance parameterized by the twin cover of a graph. We show that Imbalance is XP parameterized by twin cover, and FPT when parameterized by the twin cover and the size of the largest clique outside ...
  • Gowda, Kishen N.; Lonkar, Aditya; Panolan, Fahad; Patel, Vraj; Saurabh, Saket (Cornell University Library, 2020-09)
  • Gupta, Manoj; Jain, Rahul; Modi, Nitiksha (Cornell University Library, 2020-05)
    One of the classical line of work in graph algorithms has been the Replacement Path Problem: given a graph G, s and t, find shortest paths from s to t avoiding each edge e on the shortest path from s to t. These paths are ...
  • Bhimaraju, Akhil; Nayak, Debanuj; Vaze, Rahul (Cornell University Library, 2020-04)
    The coflow scheduling problem is considered: given an input/output switch with each port having a fixed capacity, find a scheduling algorithm that minimizes the weighted sum of the coflow completion times respecting the ...
  • Chierichetti, Flavio; Dasgupta, Anirban; Kumar, Ravi (Cornell University Library, 2020-10)
  • Chhaya, Rachit; Dasgupta, Anirban; Shit, Supratim (Cornell University Library, 2020-06)
  • Sonar, Chinmay; Dey, Palash; Misra, Neeldhara (Cornell University Library, 2020-04)
  • Gowda, Kishen N.; Misra, Neeldhara; Patel, Vraj (Cornell University Library, 2020-05)
    We consider the problem of protecting and manipulating elections by recounting and changing ballots, respectively. Our setting involves a plurality-based election held across multiple districts, and the problem formulations ...
  • Srivastava, Vivek; Singh, Mayank (Cornell University Library, 2020-04)
  • Singh, Davinder; Jain, Naman; Jain, Pranjali; Kayal, Pratik; Kumawat, Sudhakar; Batra, Nipun (Cornell University Library, 2019-11)
    India loses 35% of the annual crop yield due to plant diseases. Early detection of plant diseases remains difficult due to the lack of lab infrastructure and expertise. In this paper, we explore the possibility of computer ...
  • Srivastava, Vivek; Singh, Mayank (Cornell University Library, 2020-10)
    WhatsApp Messenger is one of the most popular channels for spreading information with a current reach of more than 180 countries and 2 billion people. Its widespread usage has made it one of the most popular media for ...
  • Misra, Neeldhara; Mittal, Harshil; Sethia, Aditi (Cornell University Library, 2020-05)
    Given a set R of red points and a set B of blue points in the plane, the Red-Blue point separation problem asks if there are at most k lines that separate R from B, that is, each cell induced by the lines of the solution ...
  • Dasgupta, Anirban; Sengupta, Srijan (Cornell University Library, 2020-07)
    Infectious or contagious diseases can be transmitted from one person to another through social contact networks. In today's interconnected global society, such contagion processes can cause global public health hazards, ...
  • Garg, Ayush; Kagi, Sammed Shantinath; Singh, Mayank (Cornell University Library, 2020-06)
  • Das, Bireswar; Sharma, Shivdutt; Vaidyanathan, P. R. (Cornell University Library, 2020-02)
  • Dhakal, Aditya; Cho, Junguk; Kulkarni, Sameer G.; Ramakrishnan, K. K.; Sharma, Puneet (Cornell University Library, 2020-08)
    GPUs are used for training, inference, and tuning the machine learning models. However, Deep Neural Network (DNN) vary widely in their ability to exploit the full power of high-performance GPUs. Spatial sharing of GPU ...
  • Chhaya, Rachit; Choudhari, Jayesh; Dasgupta, Anirban; Shit, Supratim (Cornell University Library, 2020-06)
  • Dash, Saloni; Dutta, Ritik; Guyon, Isabelle; Pavao, Adrien; Yale, Andrew; Bennett, Kristin P. (Cornell University Library, 2019-11)
    Synthetic medical data which preserves privacy while maintaining utility can be used as an alternative to real medical data, which has privacy costs and resource constraints associated with it. At present, most models focus ...
  • Pandey, Pankaj; Swarnkar, Raunak; Kakaria, Shobhit; Miyapuram, Krishna Prasad (Cornell University Library, 2020-07)
    Neuromarketing aims to understand consumer behavior using neuroscience. Brain imaging tools such as EEG have been used to better understand consumer behavior that goes beyond self-report measures which can be a more accurate ...
  • Kayal, Pratik; Singh, Mayank; Goyal, Pawan (Cornell University Library, 2019-10)
    The task of learning a sentiment classification model that adapts well to any target domain, different from the source domain, is a challenging problem. Majority of the existing approaches focus on learning a common ...

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