5 papers
Rule-Based Spatial Mixture-of-Experts U-Net for Explainable Edge Detection
Bharadwaj Dogga, Kaaustaaub Shankar, Gibin Raju +2
Deep learning models like U-Net and its variants, have established state-of-the-art performance in edge detection tasks and are used by Generative AI services world-wide for their…
Genetic Generalized Additive Models
Kaaustaaub Shankar, Kelly Cohen
Generalized Additive Models (GAMs) balance predictive accuracy and interpretability, but manually configuring their structure is challenging. We propose using the multi-objective g…
A Comparative Study of Adversarial Robustness in CNN and CNN-ANFIS Architectures
Kaaustaaub Shankar, Bharadwaj Dogga, Kelly Cohen
Convolutional Neural Networks (CNNs) achieve strong image classification performance but lack interpretability and are vulnerable to adversarial attacks. Neuro-fuzzy hybrids such a…
On-Policy Optimization of ANFIS Policies Using Proximal Policy Optimization
Kaaustaaub Shankar, Wilhelm Louw, Kelly Cohen
We present a reinforcement learning method for training neuro-fuzzy controllers using Proximal Policy Optimization (PPO). Unlike prior approaches that used Deep Q-Networks (DQN) wi…
Fuzzy-RRT for Obstacle Avoidance in a 2-DOF Semi-Autonomous Surgical Robotic Arm
Kaaustaaub Shankar, Wilhelm Louw, Bharadwaj Dogga +3
AI-driven semi-autonomous robotic surgery is essential for addressing the medical challenges of long-duration interplanetary missions, where limited crew sizes and communication de…