Discovery of High Utility Itemsets Using Genetic Algorithm with Ranked Mutation. - S. Kannimuthu; K. Premalatha (Appl. Artif. Intell., 2014)

UP-GNIV: an expeditious high utility pattern mining algorithm for itemsets with negative utility values. - Kannimuthu Subramanian; Kandhasamy Premalatha (Int. J. Inf. Technol. Manag., 2015)

KEC_DAlab @ EventXtract-IL-FIRE2017: Event Extraction using Support Vector Machines. - Sharmila Devi V; S. Kannimuthu; Safeeq G; Anand Kumar M (FIRE (Working Notes), 2017)

A secure cross-layer AODV routing method to detect and isolate (SCLARDI) black hole attacks for MANET. - Usha Gopal; Kannimuthu Subramanian (Turkish J. Electr. Eng. Comput. Sci., 2017)

KCE_DAlab@MAPonSMS-FIRE2018: Effective word and character-based features for Multilingual Author Profiling. - Sharmila Devi V; S. Kannimuthu; Ravikumar G; Anand Kumar M (FIRE (Working Notes), 2018)

Deep Learning Techniques for Polarity Classification in Multimodal Sentiment Analysis. - P. D. Mahendhiran; S. Kannimuthu (Int. J. Inf. Technol. Decis. Mak., 2018)

KCE DALab-APDA@FIRE2019: Author Profiling and Deception Detection in Arabic using Weighted Embedding. - Sharmila Devi V; Kannimuthu S; Ravikumar G; Anand Kumar M (FIRE (Working Notes), 2019)

Probabilistic variable precision fuzzy rough set technique for discovering optimal learning patterns in e-learning. - K. S. Bhuvaneshwari; D. Bhanu; S. Sophia; S. Kannimuthu (Int. J. Bus. Intell. Data Min., 2019)

Sentiment analysis-based framework for assessing internet telemedicine videos. - P. M. Arunkumar; S. Chandramathi; S. Kannimuthu (Int. J. Data Anal. Tech. Strateg., 2019)

Stellar mass black hole optimisation for utility mining. - Kannimuthu Subramanian; Kandhasamy Premalatha (Int. J. Data Anal. Tech. Strateg., 2019)

Extreme Gradient Boost Classification Based Interesting User Patterns Discovery for Web Service Composition. - D. Gowtham Chakravarthy; S. Kannimuthu (Mob. Networks Appl., 2019)

Mining big data streams using business analytics tools: a bird's eye view on MOA and SAMOA. - P. M. Arunkumar; S. Kannimuthu (Int. J. Bus. Intell. Data Min., 2020)

Static analysis method for detecting cross site scripting vulnerabilities. - Usha Gopal; Kannimuthu Subramanian; P. D. Mahendiran; Anusha Kadambari Shanker; Deepti Venugopal (Int. J. Inf. Comput. Secur., 2020)

An Enhanced Green Cloud Based Queue Management (GCQM) System to Optimize Energy Consumption in Mobile Edge Computing. - R. Gopi; S. T. Suganthi; Rajadevi Ramasamy; P. Johnpaul; Nebojsa Bacanin; S. Kannimuthu (Wirel. Pers. Commun., 2021)

CLSA-CapsNet: Dependency based concept level sentiment analysis for text. - P. D. Mahendhiran; Kannimuthu Subramanian (J. Intell. Fuzzy Syst., 2022)

Discovery of Interesting Itemsets for Web Service Composition Using Hybrid Genetic Algorithm. - Kannimuthu Subramanian; D. Gowtham Chakravarthy (Neural Process. Lett., 2022)

An Enhanced Localization Approach for Energy Conservation in Wireless Sensor Network with Q Deep Learning Algorithm. - Sreeja Balachandran Nair Premakumari; Prakash Mohan 001; Kannimuthu Subramanian (Symmetry, 2022)

Performance Boosting of Automatic Sun Following Panels Using Soft Computing Technique. - Shubhashis Goswami; Kaushal Kumar; Santosh Kumar; D. Anandhasilambarasan; S. Kannimuthu; V. K. Kolekar (IC3I, 2023)

Multi-Tap Canceller for Wi-Fi Communication in Band with Fill Duplex. - Supratim Saha; Rajni Gautam; Pravesh Belwal; S. Hemelatha; S. Kannimuthu; Vijaya N. Aher (IC3I, 2023)

Collaborative MAC Protocol Design for Enhanced Network Lifetime in Mobile Ad Hoc Networks. - Sanjeev Kumar Verma; Digvijay Singh; Yogita Yashveer Raghav; S. Hemelatha; S. Kannimuthu; Chitrakant Banchhor (IC3I, 2023)

Conditional Generative Adversarial Network Approach for Autism Prediction. - K. Chola Raja; S. Kannimuthu (Comput. Syst. Sci. Eng., 2023)

Context-Aware Practice Problem Recommendation Using Learners' Skill Level Navigation Patterns. - P. N. Ramesh; S. Kannimuthu (Intell. Autom. Soft Comput., 2023)

Deep learning-based feature selection and prediction system for autism spectrum disorder using a hybrid meta-heuristics approach. - K. Chola Raja; S. Kannimuthu (J. Intell. Fuzzy Syst., 2023)

Author Profiling in Code-Mixed WhatsApp Messages Using Stacked Convolution Networks and Contextualized Embedding Based Text Augmentation. - Sharmila Devi V; S. Kannimuthu (Neural Process. Lett., 2023)

The Effect of Phrase Vector Embedding in Explainable Hierarchical Attention-Based Tamil Code-Mixed Hate Speech and Intent Detection. - Sharmila Devi V; S. Kannimuthu; Anand Kumar Madasamy (IEEE Access, 2024)

Cosine deep convolutional neural network for Parkinson's disease detection and severity level classification using hand drawing spiral image in IoT platform. - S. Pragadeeswaran; S. Kannimuthu (Biomed. Signal Process. Control., 2024)

Practice challenge recommendations in online judge using implicit rating extraction and utility sequence patterns. - Ramesh P. Natarajan; Kannimuthu S; D. Bhanu (Data Technol. Appl., 2024)

An Adaptive Intelligent Polar Bear (AIPB) Optimization-Quantized Contempo Neural Network (QCNN) model for Parkinson's disease diagnosis using speech dataset. - S. Pragadeeswaran; S. Kannimuthu (Biomed. Signal Process. Control., 2024)

Mining high average utility itemsets using artificial fish swarm algorithm with computed multiple minimum average utility thresholds. - S. S. Nandhini; S. Kannimuthu (J. Intell. Fuzzy Syst., 2024)