Predicting YOLO Misdetection by Learning Grid Cell Consensus. - Bijay Raj Paudel; Danushka Senarathna; Haibo Wang 005; Spyros Tragoudas; Yao Hu; Shengbing Jiang (ICMLA, 2021)

Computation of Soft Error Rates Considering Test Pattern Sequences. - Danushka Senarathna; Spyros Tragoudas (ISQED, 2022)

Detection and Quantization of Data Drift in Image Classification Neural Networks. - Danushka Senarathna; Spyros Tragoudas; Kiriti Nagesh Gowda; Mike Schmit (HPSR, 2023)

An Enhanced YOLO Failure Detection Method. - Danushka Senarathna; Rezoan Ferdous; Spyros Tragoudas (ICMLA, 2023)

Deep Neural Network-Based Accelerators for Repetitive Boolean Logic Evaluation. - Danushka Senarathna; Spyros Tragoudas (SOCC, 2023)

Enhanced Distribution Matching for Multiclass Quantification. - Danuka Malinda; Danushka Senarathna; Spyros Tragoudas (ICMLA, 2024)

Time Series Analysis Neural Networks for Detecting False Data Injection Attacks of Different Rates on Power Grid State Estimation. - Danushka Senarathna; Spyros Tragoudas; Jason Wibbenmeyer; Nasser Khdeer (ACM Trans. Priv. Secur., 2025)