Search Results for author:
Found 9 papers, 3 papers with code
CNN-FEBAC: A framework for attention measurement of autistic individuals
After these analyses, several feature selection techniques were used with these Z-score-transformed datasets to identify the significant ASD risk factors for the toddler, child, adolescent and adult subjects.
Model Predictive Control with Infeasible Reference Trajectories
Model Predictive Control (MPC) formulations are typically built on the requirement that a feasible reference trajectory is available.
Develop Health Monitoring and Management System to Track Health Condition and Nutrient Balance for School Students
Health Monitoring and Management System (HMMS) is an emerging technology for decades.
Human-Computer Interaction
Multi-Dialect Arabic BERT for Country-Level Dialect Identification
Our winning solution itself came in the form of an ensemble of different training iterations of our pre-trained BERT model, which achieved a micro-averaged F1-score of 26. 78% on the subtask at hand.
Safe Trajectory Tracking in Uncertain Environments
In Model Predictive Control (MPC) formulations of trajectory tracking problems, infeasible reference trajectories and a-priori unknown constraints can lead to cumbersome designs, aggressive tracking, and loss of recursive feasibility.
Learning When to Drive in Intersections by Combining Reinforcement Learning and Model Predictive Control
In this paper, we propose a decision making algorithm intended for automated vehicles that negotiate with other possibly non-automated vehicles in intersections.
Learning Negotiating Behavior Between Cars in Intersections using Deep Q-Learning
Moreover, inferring information over time is important to distinguish between different intentions and is shown by comparing the collision rate between a Deep Recurrent Q-Network at 0. 85% and a Deep Q-learning at 1. 75%.
Randomization inference with general interference and censoring
Permitting right censored outcomes is challenging because standard randomization-based tests of the null hypothesis of no treatment effect assume that whether an individual is censored does not depend on treatment.
Methodology
Causal Inference from Observational Studies with Clustered Interference
Inverse probability-weighted estimators for these estimands are proposed.
Methodology
