Publications

  • Journals
  • 1) S. Singh, A. Majumdar, Deep Sparse Coding for Non-Intrusive Load Monitoring, IEEE Transactions on Smart Grid (Accepted) (Impact Factor = 3.2)
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  • 2) I. Manjani, S. Tariyal, M. Vatsa, R. Singh, A. Majumdar, Detecting Silicone Mask based Presentation Attack via Deep Dictionary Learning, IEEE Transactions on Information Forensics and Security, 2017 (Accepted). (Impact Factor = 2.4)
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  • 3) G. Goswami, M. Vatsa, and R. Singh, Face Verification via Learned Representation on Feature-Rich Video Frames, IEEE Transactions on Information Forensics and Security, 2017 (Accepted). (Impact Factor = 2.4)
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  • 4) S. Dawar, V. Sharma,V. Goyal, Mining top-k high-utility itemsets from a data stream under sliding window model, Applied Intelligence Journal, 2017 (Accepted). (Impact Factor = 1.2)
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  • 5) S. Dawar, V. Goyal, D. Bera, A hybrid framework for mining high-utility itemsets in a sparse transaction database, Applied Intelligence Journal, 2017 (Accepted). (Impact Factor = 1.2)
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  • 6) Venkata M. V. Gunturi, S. Shekhar, K. Joseph, K. Carley, Scalable computational techniques for centrality metrics on temporally detailed social network. Machine Learning journal. Springer 2016. (Published) (Impact Factor = 1.719)
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  • 7) V. Singhal, A. Majumdar, Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning, Neural Processing Letters, 2017. (Published) (Impact Factor = 1.747)
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  • 8) M. Thammawichai, P.B. Sujit, E.C. Kerrigan, J.B. Sousa, Optimizing communication and computation for multi-UAV information gathering applications, IEEE Transactions on Aerospace Electronic Systems, 2017. (Published) (Impact Factor = 1.975)
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  • 9) Manjani, S. Tariyal, M. Vatsa, and R. Singh, A. Majumdar, Detecting Silicone Mask based Presentation Attack via Deep Dictionary Learning, IEEE Transactions on Information Forensics and Security, 2017. (Published) (Impact Factor = 4.332)
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  • 10) G. Goswami, M. Vatsa, and R. Singh, Face Verification via Learned Representation on Feature-Rich Video Frames, IEEE Transactions on Information Forensics and Security, 2017. (Published) (Impact Factor = 4.332)
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  • 11) T. Chakraborty. Role of Interdisciplinarity in Computer Sciences: Quantification, Impact and Life Trajectory, Scientometrics, 2018. (Published) (Impact Factor = 2.147)
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  • Conferences
  • 1) G. Goswami, M. Vatsa, R. Singh and A. Majumdar, Kernel Group Sparse Representation based Classifier for Multimodal Biometrics, International Joint Conference on Neural Networks, 2017
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  • 2) M. Singh, S. Nagpal, R. Singh and M. Vatsa, Class Representative Autoencoder for Low Resolution Multi-Spectral Gender Classification, International Joint Conference on Neural Networks, 2017
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  • 3) A. Tripathi, A. Majumdar, Asymmetric Stacked Autoencoder, International Joint Conference on Neural Networks, 2017
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  • 4) V. Singhal, P. Khurana, A. Majumdar, Class-wise Deep Dictionary Learning, International Joint Conference on Neural Networks, 2017
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  • 5) V. Singhal, A. Majumdar, Noisy Deep Dictionary Learning: Application to Alzheimer's Disease Classification, International Joint Conference on Neural Networks, 2017
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  • 6) R. Tiwari, P. Jain, S. Butail. P.B. Sujit, M.A. Goodrich; Effect of leader placement on Human-Robot Swarm Control, International Conference on Autonomous Agents and Multi-agent Systems(AAMAS)
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  • 7) P. Agarwal, R. Verma, V. M. V. Gunturi, Discovering Spatial Regions of High Correlation. ICDM Workshops 2016
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  • 8) V. Vinayakarao, A. Sarma, R. Purandare, S. Jain, S. Jain,ANNE: Improving Source Code Search using Entity Retrieval Approach. Tenth ACM International Conference on Web Search and Data Mining (WSDM), 2017.
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  • 9) H. Oliveira, P.B. Sujit, J.B. Sousa, Robust detection and tracking of ground vehicles using UAV, AIAA Guidance, Navigation, and Control Conference, 2017.
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  • 10) A. Gautam, P.B Sujit, S. Saripalli, Autonomous Quadrotor Landing Using Vision and Pursuit Guidance, 20th IFAC World Congress 2017.
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  • 11) B. Bhatnagar, S. Singh, C. Arora, C.V. Jawahar, Unsupervised Learning of Deep Feature Representation for Clustering Egocentric Actions, International Joint Conference on Artificial Intelligence (IJCAI), August 2017.
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  • 12) H. Rashid, P. Singh, Monitor: An abnormality detection approach in buildings energy consumption, Proceedings of 10th Annual ACM India Conference, COMPUTE, 2017.
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  • 13) H. Rashid, P. M. Mammen, S. Singh, K. Ramamritham, P. Singh, P. Shenoy, Want to reduce Energy Consumption? Don’t depend on the Customers!, 4th ACM International Conference on Systems for Energy-Efficient Built Environments, BuildSys, 2017.
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  • 14) H. Rashid, P. Singh, K. Ramamritham, Revisiting selection of residential consumers for demand response programs, 4th ACM International Conference on Systems for Energy-Efficient Built Environments, BuildSys, 2017.
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  • 15) H. Rashid, P. Singh, Poster: Energy Disaggregation for identifying anomalous appliance, 4th ACM International Conference on Systems for Energy-Efficient Built Environments, BuildSys, 2017.
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  • 16) G.Bajaj, P.Singh, Mew: A Plug-n-Play Framework for Task Allocation in Mobile Crowdsensing, The First ACM Workshop on Mobile Crowdsensing Systems and Applications (CrowdSenSys Workshop, Sensys Adjunct), 2017.
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  • 17) P.B. Sujit, UAV coalition formation with increased decision-making autonomy, AIAA Infotech@Aerospace, AIAA Science and Technology Forum and Exposition, Jan 2018.
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  • 18) P. Maini, S. Rathinam, P. B. Sujit, Curvature Constrained Trajectory Planning for a UAV through a Sequence of Points: A Perturbation Approach, 11th Asian Control Conference, ASCC 2017.
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  • 19) S. Nagpal, M. Singh, A. Jain, R. Singh, M. Vatsa, and A. Noore, On Matching Skulls to Digital Face Images: A Preliminary Approach, in Proceedings of IEEE International Joint Conference on Biometrics, 2017
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  • 20) S. Nagpal, M. Singh, R. Singh, M. Vatsa, A. Noore, and A. Majumdar, Face Sketch Matching via Coupled Deep Transform Learning, International Conference on Computer Vision, 2017
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  • 21) M. Singh, S. Nagpal, M. Vatsa, R. Singh, A. Noore, and A. Majumdar, Gender and Ethnicity Classification of Iris Images using Deep Class Encoder, In Proceedings of IEEE International Joint Conference on Biometrics, 2017
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  • 22) P. Basak, S. De, M. Agarwal, A. Malhotra, R. Singh, and M. Vatsa, Multimodal Biometric Recognition for Toddlers and Pre-School Children, In Proceedings of IEEE International Joint Conference on Biometrics, 2017
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  • 23) S. Gupta, A. Khattar, A. Gogia, P. Kumaraguru and T. Chakraborty. Collective Classification of Spam Campaigners on Twitter: A Hierarchical Meta-Path Based Approach, The Web Conference (WWW), Lyon, France, 2018
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