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ORCIDSatish Mahadevan Srinivasan
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2020 – today
- 2024
[j17]Satish Mahadevan Srinivasan
, Yok-Fong Paat:
A Data-Centric Approach to Understanding the 2020 U.S. Presidential Election. Big Data Cogn. Comput. 8(9): 111 (2024)- [j16]Harsh Deokuliar, Raghvinder S. Sangwan, Yoaukim Badr, Satish Mahadevan Srinivasan:
Improving Testing of Deep-Learning Systems. Commun. ACM 67(3): 44-48 (2024) - [j15]Madhuri Gollapalli, Harsh Anand, Satish Mahadevan Srinivasan:
Characterizing diseases using genetic and clinical variables: A data analytics approach. Quant. Biol. 12(3): 271-285 (2024) - 2023
- [j14]Raghvinder S. Sangwan, Youakim Badr, Satish Mahadevan Srinivasan:
Cybersecurity for AI Systems: A Survey. J. Cybersecur. Priv. 3(2): 166-190 (2023) - [j13]Harsh Deokuliar, Raghvinder S. Sangwan, Youakim Badr, Satish Mahadevan Srinivasan:
Improving Testing of Deep-learning Systems: A combination of differential and mutation testing results in better test data. ACM Queue 21(5): 54-65 (2023) - 2022
- [j12]Raghvinder S. Sangwan, Youakim Badr, Satish Mahadevan Srinivasan, Partha Mukherjee:
On the Testability of Artificial Intelligence and Machine Learning Systems. Computer 55(3): 101-105 (2022) - [i1]Ipek Ozkaya, Zachary Kurtz, Robert L. Nord, Raghvinder S. Sangwan, Satish Mahadevan Srinivasan:
Detecting Discussions of Technical Debt. CoRR abs/2201.12177 (2022) - 2021
- [j11]Satish Mahadevan Srinivasan, Ruchika Chari, Abhishek Tripathi:
Modelling and visualising emotions in Twitter feeds. Int. J. Data Min. Model. Manag. 13(4): 337-350 (2021) - 2020
- [j10]Satish Mahadevan Srinivasan, Yok-Fong Paat, Philmore Halls, Ruth Kalule, Thomas E. Harvey:
Predicting re-admission to hospital for diabetes treatment: a machine learning solution. Int. J. Comput. Biol. Drug Des. 13(5/6): 539-554 (2020) - [j9]Satish Mahadevan Srinivasan, Nil H. Kilicay-Ergin, Raghvinder S. Sangwan, Colin J. Neill:
Ranking Critical Activities in Complex System Development Projects. IEEE Syst. J. 14(1): 1353-1364 (2020)
2010 – 2019
- 2019
- [j8]Satish Mahadevan Srinivasan, Raghvinder S. Sangwan, Colin J. Neill, Tianhai Zu:
Twitter Data for Predicting Election Results: Insights from Emotion Classification. IEEE Technol. Soc. Mag. 38(1): 58-63 (2019) - 2017
- [j7]Satish Mahadevan Srinivasan, Raghvinder S. Sangwan, Colin J. Neill:
On the measures for ranking software components. Innov. Syst. Softw. Eng. 13(2-3): 161-175 (2017) - [j6]Satish Mahadevan Srinivasan, Raghvinder S. Sangwan:
Web App Security: A Comparison and Categorization of Testing Frameworks. IEEE Softw. 34(1): 99-102 (2017) - 2015
- [j5]Simarjeet Negi, Sanjit Pandey, Satish Mahadevan Srinivasan, Akram Mohammed, Chittibabu Guda:
LocSigDB: a database of protein localization signals. Database J. Biol. Databases Curation 2015 (2015) - 2013
- [j4]Satish Mahadevan Srinivasan, Suleyman Vural, Brian R. King, Chittibabu Guda:
Mining for class-specific motifs in protein sequence classification. BMC Bioinform. 14: 96 (2013) - [j3]Satish Mahadevan Srinivasan, Azad H. Azadmanesh:
Survivable Data Aggregation in Multiagent Network Systems with Hybrid Faults. IEEE Trans. Computers 62(10): 2054-2068 (2013) - 2011
- [j2]Victor L. Winter, James T. Perry, Harvey P. Siy, Satish Mahadevan Srinivasan, Ben Farkas, James A. McCoy:
The Tyranny of the Vital Few: The Pareto Principle in Language Design. J. Softw. Eng. Appl. 4(3): 146-155 (2011)
2000 – 2009
- 2009
- [j1]Satish Mahadevan Srinivasan, Azad H. Azadmanesh:
Data aggregation in partially connected networks. Comput. Commun. 32(4): 594-601 (2009) - [c3]Cobra Rahmani, Mansour Zand, Harvey P. Siy, Satish Mahadevan Srinivasan:
A Survey on Model Driven Software Development. SEDE 2009: 105-110 - [c2]Satish Mahadevan Srinivasan, Mansour Zand:
Making Use Case Slices Manage Variability in Aspect-based Product Line. MSVVEIS 2009: 141-148 - 2008
- [c1]Satish Mahadevan Srinivasan, Azad H. Azadmanesh:
Data Aggregation in Static Adhoc Networks. ICIIS 2008: 1-6
Coauthor Index
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