30 citations · 48 across the 5 of their papers we have counts for
5 papers
Hierarchical Graph Neural Networks for Proprioceptive 6D Pose Estimation of In-hand Objects
Alireza Rezazadeh, Snehal Dikhale, Soshi Iba +1
Robotic manipulation, in particular in-hand object manipulation, often requires an accurate estimate of the object's 6D pose. To improve the accuracy of the estimated pose, state-o…
KINet: Unsupervised Forward Models for Robotic Pushing Manipulation
Alireza Rezazadeh, Changhyun Choi
Object-centric representation is an essential abstraction for forward prediction. Most existing forward models learn this representation through extensive supervision (e.g., object…
Explainable Ensemble Machine Learning for Breast Cancer Diagnosis based on Ultrasound Image Texture Features
Alireza Rezazadeh, Yasamin Jafarian, Ali Kord
Image classification is widely used to build predictive models for breast cancer diagnosis. Most existing approaches overwhelmingly rely on deep convolutional networks to build suc…
A Generalized Flow for B2B Sales Predictive Modeling: An Azure Machine Learning Approach
Alireza Rezazadeh
Predicting the outcome of sales opportunities is a core part of successful business management. Conventionally, making this prediction has relied mostly on subjective human evaluat…
Force Field Generalization and the Internal Representation of Motor Learning
Alireza Rezazadeh, Max Berniker
When learning a new motor behavior, e.g. reaching in a force field, the nervous system builds an internal representation. Examining how subsequent reaches in unpracticed directions…