Proposals

Debiasing medical image datasets to improve machine learning robustness and fairness A Framework for Systematic Performance Experiments for Machine Learning Data Attribution on Progressive Datasets for Deep Learning Efficient Data Selection Methods for Machine Learning Flexible Data Placement on SSDs for Database Systems How much Data Movement is Being Saved? Incremental Model Updates on Tiny Hardware Machine Learning Models for the Edge Resource Management on Tiny Hardware Exploring connections of spectral learning priority and learning task Learning-based image quality enhancement on CubeSat Cubesat LoRa module Exploiting Edge Devices for Data-Intensive Applications Deconstructed Cloud Databases, Part II: Open Dictionary Metadata Logging in Open-Source JavaScript Applications

Projects