Search Results - Dayama, Pankaj

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  1. 1
    Change point detection for compositional multivariate data

    Change point detection for compositional multivariate data by K. J., Prabuchandran, Singh, Nitin, Dayama, Pankaj, Agarwal, Ashutosh, Pandit, Vinayaka

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  2. 2
    Combinatorial auctions for electronic business

    Combinatorial auctions for electronic business by Narahari, Y., Dayama, Pankaj

    Published in Sadhana (Bangalore)
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  3. 3
    How to prove any NP statement jointly? Efficient Distributed-prover Zero-Knowledge Protocols

    How to prove any NP statement jointly? Efficient Distributed-prover Zero-Knowledge Protocols by Dayama, Pankaj, Patra, Arpita, Paul, Protik, Singh, Nitin, Vinayagamurthy, Dhinakaran

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  4. 4
    Predicting the dengue incidence in Singapore using univariate time series models

    Predicting the dengue incidence in Singapore using univariate time series models by Dayama, Pankaj, Kameshwaran, S

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  5. 5
    Demand sensing in e-business

    Demand sensing in e-business by Ravikumar, K., Saroop, Atul, Narahari, H. K., Dayama, Pankaj

    Published in Sadhana (Bangalore)
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  6. 6
    Optimal control of information epidemics

    Optimal control of information epidemics by Karnik, A., Dayama, P.

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  7. 7
    Auction-Based Mechanisms for Electronic Procurement

    Auction-Based Mechanisms for Electronic Procurement by Chandrashekar, T. S., Narahari, Y., Rosa, C.H., Kulkarni, D.M., Tew, J.D., Dayama, P.

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  8. 8
    Accelerated carrier invoice factoring using predictive freight transport events

    Accelerated carrier invoice factoring using predictive freight transport events by Narayanam, Krishnasuri, Dayama, Pankaj, Nishad, Sandeep

    Published in arXiv.org
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  9. 9
    Mandi electronic exchange: Orchestrating Indian agricultural markets for maximizing social welfare

    Mandi electronic exchange: Orchestrating Indian agricultural markets for maximizing social welfare by Viswanadham, N., Chidananda, S., Narahari, Y., Dayama, P.

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  10. 10
    Design of Multiunit Electronic Exchanges Through Decomposition

    Design of Multiunit Electronic Exchanges Through Decomposition by Dayama, P., Narahari, Y.

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  11. 11
    Threats and Trade-Offs in Resource Critical Crowdsourcing Tasks Over Networks

    Threats and Trade-Offs in Resource Critical Crowdsourcing Tasks Over Networks by Nath, Swaprava, Dayama, Pankaj, Garg, Dinesh, Narahari, Y., Zou, James

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  12. 12
    Inventory Pooling using Deep Reinforcement Learning

    Inventory Pooling using Deep Reinforcement Learning by Sampath, Kameshwaran, Nishad, Sandeep, Reddy Danda, Sai Koti, Dayama, Pankaj, Sankagiri, Suryanarayana

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  13. 13
    Optimal scheduling of campaigns on on-line forums

    Optimal scheduling of campaigns on on-line forums by Karnik, Aditya, Dayama, Pankaj

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  14. 14
    AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data

    AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data by Palaskar, Santosh, Ekambaram, Vijay, Jati, Arindam, Gantayat, Neelamadhav, Saha, Avirup, Nagar, Seema, Nguyen, Nam H., Dayama, Pankaj, Sindhgatta, Renuka, Mohapatra, Prateeti, Kumar, Harshit, Kalagnanam, Jayant, Hemachandra, Nandyala, Rangaraj, Narayan

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  15. 15
    Towards Unbiased Evaluation of Time-series Anomaly Detector

    Towards Unbiased Evaluation of Time-series Anomaly Detector by Bhattacharya, Debarpan, Mukherjee, Sumanta, Kamanchi, Chandramouli, Ekambaram, Vijay, Jati, Arindam, Dayama, Pankaj

    Published in arXiv.org
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  16. 16
    Activations Through Extensions: A Framework To Boost Performance Of Neural Networks

    Activations Through Extensions: A Framework To Boost Performance Of Neural Networks by Kamanchi, Chandramouli, Mukherjee, Sumanta, Sampath, Kameshwaran, Dayama, Pankaj, Jati, Arindam, Ekambaram, Vijay, Phan, Dzung

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  17. 17
    Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series

    Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series by Ekambaram, Vijay, Jati, Arindam, Dayama, Pankaj, Mukherjee, Sumanta, Nguyen, Nam H, Gifford, Wesley M, Reddy, Chandra, Kalagnanam, Jayant

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  18. 18
    AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data

    AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data by Palaskar, Santosh, Ekambaram, Vijay, Jati, Arindam, Gantayat, Neelamadhav, Saha, Avirup, Nagar, Seema, Nguyen, Nam H, Dayama, Pankaj, Sindhgatta, Renuka, Mohapatra, Prateeti, Kumar, Harshit, Kalagnanam, Jayant, Hemachandra, Nandyala, Narayan Rangaraj

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  19. 19
    Change Point Detection for Compositional Multivariate Data

    Change Point Detection for Compositional Multivariate Data by Prabuchandran, K J, Singh, Nitin, Dayama, Pankaj, Pandit, Vinayaka

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  20. 20
    Computational Aspects of Equilibria in Discrete Preference Games

    Computational Aspects of Equilibria in Discrete Preference Games by Lolakapuri, Phani Raj, Bhaskar, Umang, Narayanam, Ramasuri, Parija, Gyana R, Dayama, Pankaj S

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