Have we been Naive to Select Machine Learning Models? Noisy Data are here to Stay!

14 July 2022

Papers citing "Have we been Naive to Select Machine Learning Models? Noisy Data are here to Stay!"

6 / 6 papers shown

Title
A Lightweight and Extensible Cell Segmentation and Classification Model for Whole Slide Images N. Shvetsov T. Kilvaer M. Tafavvoghi Anders Sildnes Kajsa Møllersen Lill-ToveRasmussen Busund L. A. Bongo VLM 104 1 0 26 Feb 2025
Embarrassingly Parallel Independent Training of Multi-Layer Perceptrons with Heterogeneous Architectures F. Farias Teresa B Ludermir C. B. Filho 39 2 0 14 Jun 2022
Similarity Based Stratified Splitting: an approach to train better classifiers F. Farias Teresa B Ludermir C. J. A. B. Filho 25 13 0 13 Oct 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 520 42,449 0 03 Dec 2019
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods Eyke Hüllermeier Willem Waegeman PER UD 244 1,421 0 21 Oct 2019
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 809 39,031 0 09 Mar 2016