Bavashree GS, Shreya Sai Prabakar, Sekar K, Ramanujam E., Explainable AI for Leukemia Diagnosis: Modified ResNet with Hard Attention Mechanisms, International Conference on Intelligent Systems and Computational Networks, India (Accepted for Presentation) [Under SN Bose Internship - 2024]
C Lalrinmawii, Aparajitta Datta, Ramanujam E., AFastQF: An Automated Fastq Quality Filtering of High-Throughput Genomic Data, 2024 6th International Conference on Advanced Bioinformatics and Biomedical Engineering (ICABB 2024), Kyoto, Japan | November 28-30, 2024
Ruchi Singh, Ramanujam, E, Naresh Babu M, Shubham Gupta, Intelligent Virtual Interview/Viva Systems: Integrating Emotion Recognition and Behavioural Assessment for Candidate Assessment, 6th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences (MIND-2024), National Institute of Technology Goa, India. (Accepted for Presentation) [Won Best Paper Award]
Arul Vivek, Karthikeyan P, Ramanujam, E., Revealing the Importance of Local and Global Interpretability in Smartphone based Human Activity Recognition, 8th Students Conference on Engineering and Systems, organized by the Motilal Nehru National Institute of Technology, India. https://doi.org/10.1109/sces61914.2024.10652326
Thirumalai, K.G., Sakthi Prakash K., Abirami, A.M., Ramanujam, E., Sumitra, S., XAI-based Feature Selection for SMS Spam Classification in Dravidian Languages, 2024 5th International Conference on Innovative Trends in Information Technology (ICITIIT), organized by the Indian Institute of Information Technology, Kottayam, Kerala. https://doi.org/10.1109/icitiit61487.2024.10580065
Sakthi Prakash K., Abirami, A.M., Supriya Singh., Ramanujam E. Performance Evaluation of Meta-data features for Spam SMS Classification using Sequential Models, 2024 IEEE International Students’ Conference on Electrical, Electronics and Computer Science (SCEECS 2024), MANIT Bhopal, February 2024. https://10.1109/sceecs61402.2024.10481874.
Ramanujam, E., Kalimuthu, S., Harshavardhan, B. V., & Perumal, T. (2023, October). Improvement in Multi-resident Activity Recognition System in a Smart Home Using Activity Clustering. In IFIP International Internet of Things Conference (pp. 316-334). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-45878-1_22
Ramanujam, E., Sakthi Prakash K., Abirami, A.M., (2023). Evaluation of Hand-crafted Features for the Classification of Spam SMS in Dravidian Languages, Data Science and Network Engineering: Proceedings of ICDSNE 2023, 791, 3. https://doi.org/10.1007/978-981-99-6755-1_1.
Ramanujam, E., Shankar, K., Arpit Sharma. (2023). A Review on Artificial Intelligence Techniques for Multilingual SMS Spam detection, In 3rd International Conference on Computer Vision, High-Performance Computing, Smart Devices and Networks (CHSN2022), 523-536. https://doi.org/10.1007/978-981-99-6690-5_40
Ramanujam, E., Chakkaravarthy, G. V., & Lavanya, R. (2022). Hybrid Algorithm for Resource Aware Predictive Scheduling: A case-study to Human Activity Recognition. 2022 International Conference on Knowledge Engineering and Communication Systems (ICKES). https://doi.org/10.1109/ickecs56523.2022.10059785
Ramanujam, E., Shankar, K., & Arpit, S. (2022). Multi-lingual Spam SMS detection using a hybrid deep learning technique. 2022 IEEE Silchar Subsection Conference (SILCON). https://doi.org/10.1109/silcon55242.2022.10028936
Ramanujam, E., Sharma, A., Hussian, J. J., & Perumal, T. (2022). Improving Indoor occupancy estimation using a hybrid CNN-LSTM approach. 2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP). https://doi.org/10.1109/iciccsp53532.2022.9862328
Rasikannan, L., Alli, P., & Ramanujam, E. (2021). Extraction of Opinion Targets and Words from Reviews Using Collective Parallel Cluster Algorithm. Lecture Notes on Data Engineering and Communications Technologies, 363–372. https://doi.org/10.1007/978-981-15-9647-6_28
Ramanujam, E., Chandrakumar, T., Thivyadharsine, K. T., & Varsha, D. (2020). A Multilingual Decision Support System for early detection of Diabetes using Machine Learning approach: Case study for Rural Indian people. 2020 Fifth International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN). https://doi.org/10.1109/icrcicn50933.2020.9296187
Ramanujam, E., Padmavathi, S., Dharshani, G., & Madhumitta, M. R. R. (2019). Evaluation of Feature Extraction and Recognition for Human Activity using Smartphone based Accelerometer data. 2019 11th International Conference on Advanced Computing (ICoAC). https://doi.org/10.1109/icoac48765.2019.247124
Rasikannan, L., Alli, P., & Ramanujam, E. (2020). Improved Feature Based Sentiment Analysis for Online Customer Reviews. Lecture Notes on Data Engineering and Communications Technologies, 148–155. https://doi.org/10.1007/978-3-030-38040-3_17
Ramanujam, E., Chandrakumar, T., Nandhana, K., & Laaxmi, N. T. (2020). Prediction of Fetal Distress Using Linear and Non-linear Features of CTG Signals. Advances in Intelligent Systems and Computing, 40–47. https://doi.org/10.1007/978-3-030-37218-7_5
Pudumalar, S., Ramanujam, E., Rajashree, R. H., Kavya, C., Kiruthika, T., & Nisha, J. (2017). Crop recommendation system for precision agriculture. 2016 Eighth International Conference on Advanced Computing (ICoAC). https://doi.org/10.1109/icoac.2017.7951740
Ramanujam, E., & Padmavathi, S. (2016). Double constrained genetic algorithm for ECG signal classification. 2016 International Conference on Emerging Trends in Engineering, Technology and Science (ICETETS). https://doi.org/10.1109/icetets.2016.7603010
Padmavathi, S., & Ramanujam, E. (2015). Naïve Bayes Classifier for ECG Abnormalities Using Multivariate Maximal Time Series Motif. Procedia Computer Science, 47, 222–228. https://doi.org/10.1016/j.procs.2015.03.201
Ramanujam, E., & Padmavathi, S. (2012). Constraint Frequent Motif Detection in sequence datasets. 2012 Fourth International Conference on Advanced Computing (ICoAC). https://doi.org/10.1109/icoac.2012.6416844