LLAC: Lazy Learning in Associative Classification. - S. P. Syed Ibrahim; K. R. Chandran; R. V. Nataraj (ACC (1), 2011)

Compact Weighted Class Association Rule Mining using Information Gain - S. P. Syed Ibrahim; K. R. Chandran (CoRR, 2011)

CHISC-AC: Compact Highest Subset Confidence-Based Associative Classification. - S. P. Syed Ibrahim; K. R. Chandran; C. J. Kabila Kanthasamy (Data Sci. J., 2014)

HANN: A Hybrid Model for Liver Syndrome Classification by Feature Assortment Optimization. - L. Anand; S. P. Syed Ibrahim (J. Medical Syst., 2018)

Rule-Based Effective Collaborative Recommendation Using Unfavorable Preference. - G. Suganeshwari; S. P. Syed Ibrahim (IEEE Access, 2020)

Autonomous bot with ML-based reactive navigation for indoor environment. - Yash Srivastava; Saumya Singh; S. P. Syed Ibrahim (CoRR, 2021)

Two-stage Deep Stacked Autoencoder with Shallow Learning for Network Intrusion Detection System. - Nasreen Fathima; Akshara Pramod; Yash Srivastava; Anusha Maria Thomas; S. P. Syed Ibrahim; K. R. Chandran (CoRR, 2021)

ASEGAA: Leveraging Attention in Emotion, Gender and Age Analysis from Speech. - Indra Sigicharla; Aron Ritesh; Sourabh Tiwari; S. P. Syed Ibrahim (ICCCNT, 2024)

Enhancing Network Traffic Anomaly Detection: Leveraging Temporal Correlation Index in a Hybrid Framework. - Nasreen Fathima; S. P. Syed Ibrahim; Ansam Khraisat (IEEE Access, 2024)

A Hybrid Deep Learning Model for Network Intrusion Detection System Using Seq2Seq and ConvLSTM-Subnets. - S. Hariharan; Y. Annie Jerusha; G. Suganeshwari; S. P. Syed Ibrahim; Uday Kiran Tupakula; Vijay Varadharajan (IEEE Access, 2025)

A Novel Semantic Driven Meta-Learning Model for Rare Attack Detection. - Y. Annie Jerusha; S. P. Syed Ibrahim; Vijay Varadharajan (IEEE Access, 2025)

SURE: Session-Based Uninteresting Item Removal for Enhanced Recommendations. - Navaneeth Sivakumar; Ankith Motha; G. Suganeshwari; S. P. Syed Ibrahim; Vijayan Sugumaran (IEEE Access, 2025)