• A parameterized perspective on protecting elections 

  Dey, Palash; Misra, Neeldhara; Nath, Swaprava; Shakya, Garima (2019-08-10)
• Synthetic Event Time Series Health Data Generation 

  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 ...
• DeepPFCN: Deep Parallel Feature Consensus Network For Person Re-Identification 

  Singh, Shubham Kumar; Miyapuram, Krishna P.; Raman, Shanmuganathan (Cornell University Library, 2019-11)

  Person re-identification aims to associate images of the same person over multiple non-overlapping camera views at different times. Depending on the human operator, manual re-identification in large camera networks is ...
• MSP-N: multiple selection procedure with 'N' possible growth mechanisms 

  Pandey, Pradumn Kumar; Singh, Mayank (Public Library of Science, 2019)
• The rise and rise of interdisciplinary research: Understanding the interaction dynamics of three major fields - Physics, Mathematics and Computer Science 

  Hazra, Rima; Singh, Mayank; Goyal, Pawan; Adhikari, Bibhas; Mukherjee, Animesh (2019-11-04)

  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 ...
• The evolving ecosystem of predatory journals: a case study in Indian perspective 

  Jain, Naman; Singh, Mayank (2019-11-04)
• Weakly-Supervised Deep Learning for Domain Invariant Sentiment Classification 

  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 ...
• DeepPFCN: deep parallel feature consensus network for person re-identification 

  Singh, Shubham; Miyapuram, Krishna P.; Raman, Shanmuganathan (2019-12-22)
• Exploring temporal differences in 3D convolutional neural networks 

  Kanojia, Gagan; Kumawat, Sudhakar; Raman, Shanmuganathan (2019-12-22)
• NLPExplorer: exploring the universe of NLP papers 

  Parmar, Monarch; Jain, Naman; Jain, Pranjali; Sahit, P. Jayakrishna; Pachpande, Soham; Singh, Shruti; Singh, Mayank (Cornell University Library, 2019-10)

  Understanding the current research trends, problems, and their innovative solutions remains a bottleneck due to the ever-increasing volume of scientific articles. In this paper, we propose NLPExplorer, a completely automatic ...
• On the parameterized complexity of party nominations 

  Misra, Neeldhara (2019-10-25)
• A demonstration of reproducible state-of-the-art energy disaggregation using NILMTK 

  Batra, Nipun; Kukunuri, Rithwik; Pandey, Ayush; Malakar, Raktim; Kumar, Rajat; Krystalakos, Odysseas; Zhong, Minhjun, Meira, Paulo; Parson, Oliver (American Chemical Society, 2019-11-13)
• Towards reproducible state-of-the-art energy disaggregation 

  Batra, Nipun; Kukunuri, Rithwik; Pandey, Ayush; Malakar, Raktim; Kumar, Rajat; Krystalakos, Odysseas; Zhong, Minhjun, Meira, Paulo; Parson, Oliver (American Chemical Society, 2019-11-13)
• Neuralcompression: a machine learning approach to compress high frequency measurements in smart grid 

  Das, Laya; Garg, Dinesh; Srinivasan, Babji (Elsevier, 2019-09)
• Simultaneous detection and removal of dynamic objects in multi-view images 

  Kanojia, Gagan; Raman, Shanmuganathan (IEEE, 2020-03-02)
• Efficient fair multiparty protocols using Blockchain and trusted hardware 

  Paul, Souradyuti; Shrivastava, Ananya (2019-10-02)
• Active collaborative sensing for energy breakdown 

  Jia,Yiling; Batra,Nipun; Wang,Hongning (Cornell University Library, 2019-09)

  Residential homes constitute roughly one-fourth of the total energy usage worldwide. Providing appliance-level energy breakdown has been shown to induce positive behavioral changes that can reduce energy consumption by ...
• On the parameterized complexity of spanning trees with small vertex covers 

  Kaur, Chamanvir (Indian Institute of Technology Gandhinagar, 2019)
• Towards a scalable online hierarchical clustering algorithm 

  Doshi, Ishita (Indian Institute of Technology Gandhinagar, 2019)
• Crowd counting and monitoring in a surveillance system 

  Gautam, Priyanka (Indian Institute of Technology Gandhinagar, 2019)

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