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Raju N. Gottumukkala
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- affiliation: University of Louisiana Lafayette, LA, USA
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2020 – today
- 2024
- [c16]Mehedi Hassan, Mehmet Engin Tozal, Vipin Swarup, Steven Noel, Raju Gottumukkala, Vijay Raghavan:
Anomalous Link Detection in Dynamically Evolving Scale-Free-Like Networked Systems. SysCon 2024: 1-8 - [i11]Morteza Bodaghi, Majid Hosseini, Raju Gottumukkala:
A Multimodal Intermediate Fusion Network with Manifold Learning for Stress Detection. CoRR abs/2403.08077 (2024) - [i10]Ali Mohammadjafari, Anthony S. Maida, Raju Gottumukkala:
From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems. CoRR abs/2410.01066 (2024) - 2023
- [j8]Matin Hosseini, Anthony Maida, Seyedmajid Hosseini, Raju Gottumukkala:
Inception Recurrent Neural Network Architecture for Video Frame Prediction. SN Comput. Sci. 4(1): 69 (2023) - [c15]Jake Guidry, Fahad Sohrab, Raju Gottumukkala, Satya Katragadda, Moncef Gabbouj:
One-Class Classification for Intrusion Detection on Vehicular Networks. SSCI 2023: 1176-1182 - [i9]Jake Guidry, Fahad Sohrab, Raju Gottumukkala, Satya Katragadda, Moncef Gabbouj:
One-Class Classification for Intrusion Detection on Vehicular Networks. CoRR abs/2309.14134 (2023) - [i8]Majid Hosseini, Morteza Bodaghi, Ravi Teja Bhupatiraju, Anthony Maida, Raju Gottumukkala:
Multimodal Stress Detection Using Facial Landmarks and Biometric Signals. CoRR abs/2311.03606 (2023) - 2022
- [j7]Mohsen Riahi Alam, M. Hassan Najafi, Nima Taherinejad, Mohsen Imani, Raju Gottumukkala:
Stochastic Computing in Beyond Von-Neumann Era: Processing Bit-Streams in Memristive Memory. IEEE Trans. Circuits Syst. II Express Briefs 69(5): 2423-2427 (2022) - [i7]Majid Hosseini, Fahad Sohrab, Raju Gottumukkala, Ravi Teja Bhupatiraju, Satya Katragadda, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
EmpathicSchool: A multimodal dataset for real-time facial expressions and physiological data analysis under different stress conditions. CoRR abs/2209.13542 (2022) - 2021
- [j6]Guanqun Cao, Alexandros Iosifidis, Moncef Gabbouj, Vijay Raghavan, Raju Gottumukkala:
Deep Multi-View Learning to Rank. IEEE Trans. Knowl. Data Eng. 33(4): 1426-1438 (2021) - [i6]Seyedmajid Hosseini, Satya Katragadda, Ravi Teja Bhupatiraju, Ziad Ashkar, Christoph W. Borst, Kenneth Cochran, Raju Gottumukkala:
A multi-modal sensor dataset for continuous stress detection of nurses in a hospital. CoRR abs/2108.07689 (2021) - 2020
- [j5]Satya Katragadda, Paul J. Darby, Andrew Roche, Raju Gottumukkala:
Detecting Low-Rate Replay-Based Injection Attacks on In-Vehicle Networks. IEEE Access 8: 54979-54993 (2020) - [c14]Matin Hosseini, Anthony S. Maida, Majid Hosseini, Raju Gottumukkala:
Inception LSTM for Next-frame Video Prediction (Student Abstract). AAAI 2020: 13809-13810 - [i5]S. M. Zobaed, Raju Gottumukkala, Mohsen Amini Salehi:
Privacy-Preserving Clustering of Unstructured Big Data for Cloud-Based Enterprise Search Solutions. CoRR abs/2005.11317 (2020)
2010 – 2019
- 2019
- [j4]Siva R. Venna, Amirhossein Tavanaei, Raju N. Gottumukkala, Vijay V. Raghavan, Anthony S. Maida, Stephen Nichols:
A Novel Data-Driven Model for Real-Time Influenza Forecasting. IEEE Access 7: 7691-7701 (2019) - [c13]S. M. Zobaed, Sahan Ahmad, Raju Gottumukkala, Mohsen Amini Salehi:
ClustCrypt: Privacy-Preserving Clustering of Unstructured Big Data in the Cloud. HPCC/SmartCity/DSS 2019: 609-616 - [c12]Sahan Ahmad, S. M. Zobaed, Raju Gottumukkala, Mohsen Amini Salehi:
Edge Computing for User-Centric Secure Search on Cloud-Based Encrypted Big Data. HPCC/SmartCity/DSS 2019: 662-669 - [c11]Satya Katragadda, Raju Gottumukkala, Siva R. Venna, Nicholas G. Lipari, Shailendra Gaikwad, Murali Pusala, Jian Chen, Christoph W. Borst, Vijay Raghavan, Magdy A. Bayoumi:
VAStream: A Visual Analytics System for Fast Data Streams. PEARC 2019: 76:1-76:8 - [i4]Sahan Ahmad, S. M. Zobaed, Raju Gottumukkala, Mohsen Amini Salehi:
Edge Computing for User-Centric Secure Search on Cloud-Based Encrypted Big Data. CoRR abs/1908.03668 (2019) - [i3]S. M. Zobaed, Sahan Ahmad, Raju Gottumukkala, Mohsen Amini Salehi:
ClustCrypt: Privacy-Preserving Clustering of Unstructured Big Data in the Cloud. CoRR abs/1908.04960 (2019) - [i2]Matin Hosseini, Anthony S. Maida, Majid Hosseini, Raju N. Gottumukkala:
Inception-inspired LSTM for Next-frame Video Prediction. CoRR abs/1909.05622 (2019) - 2018
- [c10]Satya Katragadda, Raju Gottumukkala, Murali Pusala, Vijay Raghavan, Jessica Wojtkiewicz:
Distributed Real Time Link Prediction on Graph Streams. IEEE BigData 2018: 2912-2917 - [c9]Jessica Wojtkiewicz, Satya Katragadda, Raju Gottumukkala:
A Concept-Drift Based Predictive-Analytics Framework: Application for Real-Time Solar Irradiance Forecasting. IEEE BigData 2018: 5462-5464 - [c8]Amirhossein Tavanaei, Raju Gottumukkala, Anthony S. Maida, Vijay V. Raghavan:
Unsupervised Learning to Rank Aggregation using Parameterized Function Optimization. IJCNN 2018: 1-8 - [c7]Shailendra Gaikwad, Sana Tafleen, Raju Gottumukkala, Khalid Elgazzar:
Fault Tolerance of Real-time Video Streaming Protocols over SDN Networks. IWCMC 2018: 101-107 - [i1]Guanqun Cao, Alexandros Iosifidis, Moncef Gabbouj, Vijay Raghavan, Raju Gottumukkala:
Deep Multi-view Learning to Rank. CoRR abs/1801.10402 (2018) - 2017
- [c6]Murali K. Pusala, Ryan G. Benton, Vijay V. Raghavan, Raju N. Gottumukkala:
Supervised approach to rank predicted links using interestingness measures. BIBM 2017: 1085-1092 - [c5]Matin Hosseini, Mohsen Amini Salehi, Raju Gottumukkala:
Enabling Interactive Video Streaming for Public Safety Monitoring through Batch Scheduling. HPCC/SmartCity/DSS 2017: 474-481 - [e1]Raju Gottumukkala, Xia Ning, Guozhu Dong, Vijay Raghavan, Srinivas Aluru, George Karypis, Lucio Miele, Xindong Wu:
2017 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2017, New Orleans, LA, USA, November 18-21, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-3800-2 [contents] - 2015
- [j3]Raju N. Gottumukkala, Siva R. Venna, Vijay Raghavan:
Visual Analytics of Time Evolving Large-scale Graphs. IEEE Intell. Informatics Bull. 16(1): 10-16 (2015) - [c4]Sonya H. Y. Hsu, Ryan Benton, Raju N. Gottumukkala:
Real-Time Flu Monitoring System and Decision Informatics. HICSS 2015: 2794-2803 - 2012
- [c3]Raju Gottumukkala, John Zachary, Baker Kearfott, Ramesh Kolluru:
Real-time information driven decision support system for evacuation planning. CogSIMA 2012: 206-209 - 2010
- [j2]Narasimha Raju Gottumukkala, Raja Nassar, Mihaela Paun, Chokchai Leangsuksun, Stephen L. Scott:
Reliability of a System of k Nodes for High Performance Computing Applications. IEEE Trans. Reliab. 59(1): 162-169 (2010)
2000 – 2009
- 2007
- [c2]Narasimha Raju Gottumukkala, Chokchai Leangsuksun, Narate Taerat, Raja Nassar, Stephen L. Scott:
Reliability-aware resource allocation in HPC systems. CLUSTER 2007: 312-321 - 2006
- [j1]Christian Engelmann, Stephen L. Scott, David E. Bernholdt, Narasimha Raju Gottumukkala, Chokchai Leangsuksun, Jyothish Varma, Chao Wang, Frank Mueller, Aniruddha G. Shet, P. Sadayappan:
MOLAR: adaptive runtime support for high-end computing operating and runtime systems. ACM SIGOPS Oper. Syst. Rev. 40(2): 63-72 (2006) - 2005
- [c1]Raju N. Gottumukkala, Tong Sun:
Modeling and Assessment of Production Printing Workflows Using Petri Nets. Business Process Management 2005: 319-333
Coauthor Index
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last updated on 2024-11-06 20:28 CET by the dblp team
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