Effect of negation in sentences on sentiment analysis and polarity detection P Mukherjee, Y Badr, S Doppalapudi, SM Srinivasan, RS Sangwan, ... Procedia Computer Science 185, 370-379, 2021 | 101 | 2021 |
K-means clustering and principal components analysis of microarray data of L1000 landmark genes CL Clayman, SM Srinivasan, RS Sangwan Procedia Computer Science 168, 97-104, 2020 | 50 | 2020 |
LocSigDB: a database of protein localization signals CG Simarjeet Negi, Sanjit Pandey, Satish M Srinivasan, Akram Mohammed Database 2015, bav003, 2015 | 49 | 2015 |
LocSigDB: a database of protein localization signals Negi, S., Pandey, S., Srinivasan, S.M., Mohammed, A., and Guda, C. Database 2015, 2015 | 49 | 2015 |
Mining for class-specific motifs in protein sequence classification SM Srinivasan, S Vural, BR King, C Guda BMC bioinformatics 14, 1-14, 2013 | 29 | 2013 |
Web app security: A comparison and categorization of testing frameworks SM Srinivasan, RS Sangwan IEEE Software 34 (1), 99-102, 2017 | 26 | 2017 |
Sensation seeking and impulsivity as predictors of high-risk sexual behaviours among international travellers. S Paat, Yok-Fong & Torres, Luis & Morales, Danielle & Srinivasan, Satish ... Current Issues in Tourism., 1-17, 2019 | 24* | 2019 |
Cybersecurity for AI systems: A survey RS Sangwan, Y Badr, SM Srinivasan Journal of Cybersecurity and Privacy 3 (2), 166-190, 2023 | 22 | 2023 |
MetaID: A novel method for identification and quantification of metagenomic samples SM Srinivasan, C Guda BMC genomics 14, 1-12, 2013 | 22 | 2013 |
Twitter data for predicting election results: insights from emotion classification SM Srinivasan, RS Sangwan, CJ Neill, T Zu IEEE Technology and Society Magazine 38 (1), 58-63, 2019 | 15 | 2019 |
ANN based data mining analysis of the Parkinson’s disease SM Srinivasan, M Martin, A Tripathi International Journal of Computer Applications 168 (1), 56-60, 2017 | 12 | 2017 |
The compulsory licence for Nexavar: A landmark order S Srinivasan Economic and Political Weekly, 10-13, 2012 | 12 | 2012 |
Survivable data aggregation in multiagent network systems with hybrid faults S Srinivasan, A Azadmanesh IEEE Transactions on Computers 62 (10), 2054-2068, 2012 | 10 | 2012 |
On the measures for ranking software components SM Srinivasan, RS Sangwan, CJ Neill Innovations in Systems and Software Engineering 13, 161-175, 2017 | 9 | 2017 |
The difficulties of type resolution algorithms JT Perry, V Winter, H Siy, S Srinivasan, BD Farkas, JA McCoy Technical Report SAND2010-8745, Sandia National Laboratories, 2010 | 8 | 2010 |
Exploiting Markov chains to reach approximate agreement in partially connected networks SM Srinivasan, AH Azadmanesh Symposium on Performance Evaluation of Computer and Telecommunication Systems, 2007 | 8 | 2007 |
Comparative study of disease classification using multiple machine learning models based on landmark and non-landmark gene expression data X Huang, J Sun, SM Srinivasan, RS Sangwan Procedia computer science 185, 264-273, 2021 | 7 | 2021 |
Power of predictive analytics: using emotion classification of twitter data for predicting 2016 US presidential elections SM Srinivasan, R Sangwan, C Neill, T Zu The Journal of Social Media in Society 8 (1), 211-230, 2019 | 7 | 2019 |
Incorporating standard Java libraries into the design of embedded systems VL Winter, H Siy, J McCoy, B Farkas, G Wickstrom, D Demming, J Perry, ... Java in Academia and Research, 2011 | 7 | 2011 |
Data aggregation in partially connected networks SM Srinivasan, AH Azadmanesh Computer communications 32 (4), 594-601, 2009 | 7 | 2009 |