Browsing E-print Articles by Title

Browsing E-print Articles by Title

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  • Reddy, I. Vinod (Cornell University Library, 2017-09)
    In this paper, we study the conflict-free coloring of graphs induced by neighborhoods. A coloring of a graph is conflict-free if every vertex has a uniquely colored vertex in its neighborhood. The conflict-free coloring ...
  • Misra, Neeldhara; Reddy, I. Vinod (Cornell University Library, 2017-08)
    Consider a graph G=(V,E) and a coloring c of vertices with colors from [ℓ]. A vertex v is said to be happy with respect to c if c(v)=c(u) for all neighbors u of v. Further, an edge (u,v) is happy if c(u)=c(v). Given a ...
  • 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 ...
  • Dey, Palash; Misra, Neeldhara; Nath, Swaprava; Shakya, Garima (Cornell University Library, 2019-05)
    We study the parameterized complexity of the optimal defense and optimal attack problems in voting. In both the problems, the input is a set of voter groups (every voter group is a set of votes) and two integers $k_a$ and ...
  • 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 ...
  • Das, Bireswar; Enduri, Murali Krishna; Reddy, I. Vinod (Cornell University Library, 2015-06)
    The clique-width is a measure of complexity of decomposing graphs into certain tree-like structures. The class of graphs with bounded clique-width contains bounded tree-width graphs. While there are many results on the ...
  • Dey, Palash; Misra, Neeldhara (Cornell University Library, 2016-04)
    Eliciting the preferences of a set of agents over a set of alternatives is a problem of fundamental importance in social choice theory. Prior work on this problem has studied the query complexity of preference elicitation ...
  • 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 ...
  • Hazra, Rima; Singh, Mayank; Goyal, Pawan; Adhikari, Bibhas; Mukherjee, Animesh (Cornell University Library, 2019-08)
    The distinction between sciences is becoming increasingly more artificial -- an approach from one area can be easily applied to the other. More exciting research nowadays is happening perhaps at the interfaces of disciplines ...
  • Choudhari, Jayesh; Dasgupta, Anirban; Misra, Neeldhara; Ramanujan, M. S. (Cornell University Library, 2017-05)
  • 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)
  • Gupta, Manoj; Khan, Shahbaz (Cornell University Library, 2018-04)
  • Das, Bireswar; Sharma, Shivdutt; Vaidyanathan, P. R. (Cornell University Library, 2020-02)
  • Garg, Dinesh; Kakkar, Vishal; Shevade, Shirish Krishnaj; Sundararajan, S. (Cornell University Library, 2016-12)
    AUC (Area under the ROC curve) is an important performance measure for applications where the data is highly imbalanced. Learning to maximize AUC performance is thus an important research problem. Using a max-margin based ...
  • 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 ...

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