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Publication search results
found 81 matches
- 2024
- Ashutosh Dhar Dwivedi
, Rajani Singh, Keshav Kaushik
, Raghava Rao Mukkamala, Waleed S. Alnumay
:
Blockchain and artificial intelligence for 5G-enabled Internet of Things: Challenges, opportunities, and solutions. Trans. Emerg. Telecommun. Technol. 35(4) (2024) - Kaushik Raghavan
, Sivaselvan B, Kamakoti V:
Attention guided grad-CAM : an improved explainable artificial intelligence model for infrared breast cancer detection. Multim. Tools Appl. 83(19): 57551-57578 (2024) - Aryan Garg, Raghav Mallampali, Akshat Joshi, Shrisudhan Govindarajan, Kaushik Mitra:
Stereo-Knowledge Distillation from dpMV to Dual Pixels for Light Field Video Reconstruction. CoRR abs/2405.11823 (2024) - 2023
- Shafi Ahmad, Dillidorai Arumugam, Srdan Bozovic, Elnata Degefa, Sailesh Duvvuri, Steven Gott, Nitish Gupta, Joachim Hammer, Nivedita Kaluskar, Raghav Kaushik, Rakesh Khanduja, Prasad Mujumdar, Gaurav Malhotra, Pankaj Naik, Nikolas Ogg, Krishna Kumar Parthasarthy, Raghu Ramakrishnan, Vlad Rodriguez, Rahul Sharma, Jakub Szymaszek, Andreas Wolter:
Microsoft Purview: A System for Central Governance of Data. Proc. VLDB Endow. 16(12): 3624-3635 (2023) - Kaushik Raghavan
, B. Sivaselavan, V. Kamakoti:
iPyrDAE: Image Pyramid-Based Denoising Autoencoder for Infrared Breast Images. PReMI 2023: 397-406 - Raghav Singhal, Mukund Sudarshan, Anish Mahishi, Sri Kaushik, Luke Ginocchio, Angela Tong, Hersh Chandarana, Daniel K. Sodickson, Rajesh Ranganath, Sumit Chopra:
On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease. CoRR abs/2301.11962 (2023) - 2022
- Pradyumna Kaushik, Srinidhi Raghavendra, Madhusudhan Govindaraju:
A Study of Contributing Factors to Power Aware Vertical Scaling of Deadline Constrained Applications. CLOUD 2022: 500-510 - 2021
- Arvind Arasu, Raghav Kaushik, Donald Kossmann, Ravi Ramamurthy:
Integrity-based Attacks for Encrypted Databases and Implications. CIDR 2021 - Amrit Mohan Kaushik, Raghava Mutharaju:
An Ontology Design Pattern for Modeling Bias. WOP (Book) 2021: 337-348 - Panagiotis Antonopoulos, Raghav Kaushik, Hanuma Kodavalla, Sergio Rosales Aceves, Reilly Wong, Jason Anderson, Jakub Szymaszek:
SQL Ledger: Cryptographically Verifiable Data in Azure SQL Database. SIGMOD Conference 2021: 2437-2449 - 2020
- Balamurali Murugesan, Kaushik Sarveswaran, Vijaya Raghavan S, Sharath M. Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam:
A Context Based Deep Learning Approach for Unbalanced Medical Image Segmentation. ISBI 2020: 1949-1953 - Panagiotis Antonopoulos, Arvind Arasu, Kunal D. Singh, Ken Eguro, Nitish Gupta, Rajat Jain, Raghav Kaushik, Hanuma Kodavalla, Donald Kossmann, Nikolas Ogg, Ravi Ramamurthy, Jakub Szymaszek, Jeffrey Trimmer, Kapil Vaswani, Ramarathnam Venkatesan, Mike Zwilling:
Azure SQL Database Always Encrypted. SIGMOD Conference 2020: 1511-1525 - Pradyumna Kaushik, Srinidhi Raghavendra, Madhusudhan Govindaraju, Devesh Tiwari:
Exploring the Potential of using Power as a First Class Parameter for Resource Allocation in Apache Mesos Managed Clouds. UCC 2020: 216-226 - Balamurali Murugesan, Kaushik Sarveswaran, Vijaya Raghavan S, Sharath M. Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam:
A context based deep learning approach for unbalanced medical image segmentation. CoRR abs/2001.02387 (2020) - 2019
- Johannes Gehrke, Lindsay Allen, Panagiotis Antonopoulos, Arvind Arasu, Joachim Hammer, James Hunter, Raghav Kaushik, Donald Kossmann, Ravi Ramamurthy, Srinath T. V. Setty, Jakub Szymaszek, Alexander van Renen, Jonathan Lee, Ramarathnam Venkatesan:
Veritas: Shared Verifiable Databases and Tables in the Cloud. CIDR 2019 - S. Kaushik, S. Vijaya Raghavan, B. Sivaselvan:
A Study of Deep Learning Methods for Mitotic Cell Detection Towards Breast Cancer Diagnosis. ICACDS (1) 2019: 254-263 - Kunal Swami, Kaushik Raghavan, Nikhilanj Pelluri, Rituparna Sarkar, Pankaj Bajpai:
DISCO: Depth Inference from Stereo using Context. ICME 2019: 502-507 - Balamurali Murugesan
, Vijaya Raghavan S, Kaushik Sarveswaran
, Keerthi Ram, Mohanasankar Sivaprakasam:
Recon-GLGAN: A Global-Local Context Based Generative Adversarial Network for MRI Reconstruction. MLMIR@MICCAI 2019: 3-15 - Kunal Swami, Kaushik Raghavan, Nikhilanj Pelluri, Rituparna Sarkar, Pankaj Bajpai:
DISCO: Depth Inference from Stereo using Context. CoRR abs/1906.00050 (2019) - Balamurali Murugesan, Vijaya Raghavan S, Kaushik Sarveswaran, Keerthi Ram, Mohanasankar Sivaprakasam:
Recon-GLGAN: A Global-Local context based Generative Adversarial Network for MRI Reconstruction. CoRR abs/1908.09262 (2019) - 2018
- Raghav Kaushik:
Deduplication in Data Cleaning. Encyclopedia of Database Systems (2nd ed.) 2018 - Panagiotis Antonopoulos, Arvind Arasu, Ken Eguro, Joachim Hammer, Raghav Kaushik, Donald Kossmann, Ravi Ramamurthy, Jakub Szymaszek:
Pushing the Limits of Encrypted Databases with Secure Hardware. CoRR abs/1809.02631 (2018) - 2017
- Arvind Arasu, Ken Eguro, Raghav Kaushik, Donald Kossmann, Pingfan Meng, Vineet Pandey, Ravi Ramamurthy:
Concerto: A High Concurrency Key-Value Store with Integrity. SIGMOD Conference 2017: 251-266 - 2016
- Hemanta Kumar Mondal
, Sri Harsha Gade, Raghav Kishore
, Shashwat Kaushik, Sujay Deb
:
Power efficient router architecture for wireless Network-on-Chip. ISQED 2016: 227-233 - 2015
- Abhijeet Mohapatra, Ravi Ramamurthy, Raghav Kaushik:
Raising Authorization Awareness in a DBMS. CIDR 2015 - Arvind Arasu, Ken Eguro, Manas Joglekar, Raghav Kaushik, Donald Kossmann, Ravi Ramamurthy:
Transaction processing on confidential data using cipherbase. ICDE 2015: 435-446 - 2014
- Arvind Arasu, Raghav Kaushik:
Oblivious Query Processing. ICDT 2014: 26-37 - Arvind Arasu, Ken Eguro, Raghav Kaushik, Ravishankar Ramamurthy:
Querying encrypted data. SIGMOD Conference 2014: 1259-1261 - 2013
- Yupeng Fu, Raghav Kaushik, Ravishankar Ramamurthy:
On Scaling Up Sensitive Data Auditing. Proc. VLDB Endow. 6(5): 313-324 (2013) - Arvind Arasu, Spyros Blanas, Ken Eguro, Raghav Kaushik, Donald Kossmann, Ravishankar Ramamurthy, Ramarathnam Venkatesan:
Orthogonal Security with Cipherbase. CIDR 2013
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