3 papers
cs.LG2026
Robust XGBoosting for Regression
Iris Aragón Mladosich, Christophe Croux
XGBoost is a very popular and powerful method for prediction. It iteratively fits simple decision trees to the residuals of the previous step. An efficient and scalable implementat…
cs.HC2025
Affective Translation: Material and Virtual Embodiments of Kinetic Textile Robots
Berfin Ataman, Rodrigo Gallardo, Qilmeg Doudatcz
This study presents a comparative framework for evaluating emotional engagement with textile soft robots and their augmented-reality (AR) counterparts. Four robotic sculptures were…
cs.CV2025
Scene-Aware Urban Design: A Human-AI Recommendation Framework Using Co-Occurrence Embeddings and Vision-Language Models
Rodrigo Gallardo, Oz Fishman, Alexander Htet Kyaw
This paper introduces a human-in-the-loop computer vision framework that uses generative AI to propose micro-scale design interventions in public space and support more continuous,…