Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning

13 November 2018

Papers citing "Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning"

49 / 49 papers shown

Title
Using machine learning to measure evidence of students' sensemaking in physics courses Kaitlin Gili Kyle Heuton Astha Shah Michael C. Hughes 46 0 0 19 Mar 2025
Learning the Regularization Strength for Deep Fine-Tuning via a Data-Emphasized Variational Objective Ethan Harvey Mikhail Petrov Michael C. Hughes 45 0 0 28 Jan 2025
Enhancing End Stage Renal Disease Outcome Prediction: A Multi-Sourced Data-Driven Approach Yubo Li R. Padman 54 2 0 02 Oct 2024
SelectLLM: Query-Aware Efficient Selection Algorithm for Large Language Models Kaushal Kumar Maurya KV Aditya Srivatsa Ekaterina Kochmar 38 2 0 16 Aug 2024
Novel Deep Neural Network Classifier Characterization Metrics with Applications to Dataless Evaluation Nathaniel R. Dean Dilip Sarkar 35 0 0 17 Jul 2024
On the Workflows and Smells of Leaderboard Operations (LBOps): An Exploratory Study of Foundation Model Leaderboards Zhimin Zhao A. A. Bangash F. Côgo Bram Adams Ahmed E. Hassan 56 1 0 04 Jul 2024
Learning Run-time Safety Monitors for Machine Learning Components Ozan Vardal Richard Hawkins Colin Paterson Chiara Picardi Daniel Omeiza Lars Kunze Ibrahim Habli 33 0 0 23 Jun 2024
Predicting Exoplanetary Features with a Residual Model for Uniform and Gaussian Distributions Andrew Sweet OOD 34 0 0 16 Jun 2024
Distributional bias compromises leave-one-out cross-validation George I. Austin I. Pe’er T. Korem 52 1 0 03 Jun 2024
Exploring Machine Learning Algorithms for Infection Detection Using GC-IMS Data: A Preliminary Study Christos Sardianos Chrysostomos Symvoulidis Matthias Schlögl Iraklis Varlamis Georgios Th. Papadopoulos 21 1 0 24 Apr 2024
The Limits of Assumption-free Tests for Algorithm Performance Yuetian Luo Rina Foygel Barber 30 0 0 12 Feb 2024
Astronomical Images Quality Assessment with Automated Machine Learning O. Parisot P. Bruneau Patrik Hitzelberger 14 0 0 17 Nov 2023
Evaluating LLP Methods: Challenges and Approaches Gabriel Franco Giovanni V. Comarela Mark Crovella 18 0 0 29 Oct 2023
Fantastic DNN Classifiers and How to Identify them without Data Nathaniel R. Dean D. Sarkar 21 1 0 24 May 2023
Machine learning for phase-resolved reconstruction of nonlinear ocean wave surface elevations from sparse remote sensing data Svenja Ehlers Marco Klein Alexander Heinlein Mathies Wedler Nicolas Desmars Norbert Hoffmann M. Stender AI4Cl 37 2 0 18 May 2023
Fusion for Visual-Infrared Person ReID in Real-World Surveillance Using Corrupted Multimodal Data Arthur Josi Mahdi Alehdaghi Rafael M. O. Cruz Eric Granger 16 2 0 29 Apr 2023
Generating Adversarial Attacks in the Latent Space Nitish Shukla Sudipta Banerjee 28 7 0 10 Apr 2023
On the Variance of Neural Network Training with respect to Test Sets and Distributions Keller Jordan OOD 21 10 0 04 Apr 2023
Machine Learning-Based Detection of Parkinson's Disease From Resting-State EEG: A Multi-Center Study Anna Kurbatskaya A. Jaramillo-Jiménez J. Ochoa-Gómez K. Brønnick Alvaro Fernandez-Quilez 14 6 0 02 Mar 2023
An interpretable machine learning system for colorectal cancer diagnosis from pathology slides Pedro C. Neto D. Montezuma Sara P. Oliveira Domingos Oliveira João Fraga ... Sofia Gonccalves Stefan Reinhard I. Zlobec I. M. Pinto J. S. Cardoso 28 14 0 06 Jan 2023
Mind the Gap: Measuring Generalization Performance Across Multiple Objectives Matthias Feurer Katharina Eggensperger Eddie Bergman Florian Pfisterer B. Bischl Frank Hutter 51 5 0 08 Dec 2022
Turning Silver into Gold: Domain Adaptation with Noisy Labels for Wearable Cardio-Respiratory Fitness Prediction Yu Wu Dimitris Spathis Hong Jia I. Perez-Pozuelo Tomas I. Gonzales S. Brage N. Wareham Cecilia Mascolo 16 2 0 20 Nov 2022
Post-Selection Confidence Bounds for Prediction Performance Pascal Rink W. Brannath 14 1 0 24 Oct 2022
Management of Machine Learning Lifecycle Artifacts: A Survey Marius Schlegel K. Sattler 17 35 0 21 Oct 2022
Methodology to Create Analysis-Naive Holdout Records as well as Train and Test Records for Machine Learning Analyses in Healthcare Michele Bennett M. Nekouei Armand Prieditis Rajesh Mehta Ewa J. Kleczyk, PhD K. Hayes OOD 24 1 0 09 May 2022
deep-significance - Easy and Meaningful Statistical Significance Testing in the Age of Neural Networks Dennis Ulmer Christian Hardmeier J. Frellsen 48 42 0 14 Apr 2022
ASVAAN: Semi-automatic side-channel analysis of Android NDK Valerio Brussani 28 1 0 12 Apr 2022
Low-complexity Near-optimum Symbol Detection Based on Neural Enhancement of Factor Graphs Luca Schmid Laurent Schmalen 22 11 0 30 Mar 2022
Revisiting Parameter-Efficient Tuning: Are We Really There Yet? Guanzheng Chen Fangyu Liu Zaiqiao Meng Shangsong Liang 26 88 0 16 Feb 2022
Selecting and combining complementary feature representations and classifiers for hate speech detection Rafael M. O. Cruz Woshington V. de Sousa George D. C. Cavalcanti 27 13 0 18 Jan 2022
Transferability Estimation using Bhattacharyya Class Separability Michal Pándy A. Agostinelli J. Uijlings V. Ferrari Thomas Mensink 16 57 0 24 Nov 2021
MiNet: A Convolutional Neural Network for Identifying and Categorising Minerals Emmanuel Asiedu Brempong M. Agangiba Daniel C. Aikins 25 7 0 22 Nov 2021
Learning the hypotheses space from data through a U-curve algorithm Diego Marcondes Adilson Simonis Junior Barrera 8 1 0 08 Sep 2021
Speech Representations and Phoneme Classification for Preserving the Endangered Language of Ladin Zane Durante Leena Mathur Eric Ye Sichong Zhao Tejas Ramdas Khalil Iskarous 24 0 0 27 Aug 2021
DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning T. H. Le David Hin Roland Croft Muhammad Ali Babar 22 50 0 18 Aug 2021
How to avoid machine learning pitfalls: a guide for academic researchers M. Lones VLM FaML OnRL 62 77 0 05 Aug 2021
The Reasonable Crowd: Towards evidence-based and interpretable models of driving behavior Bassam Helou Aditya Dusi Anne-Sophie Collin N. Mehdipour Zhiliang Chen Cristhian G. Lizarazo C. Belta Tichakorn Wongpiromsarn R. D. Tebbens Oscar Beijbom 21 21 0 28 Jul 2021
A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification Umberto Michelucci Michela Sperti Dario Piga F. Venturini M. Deriu 16 5 0 24 Jul 2021
DeltaCharger: Charging Robot with Inverted Delta Mechanism and CNN-driven High Fidelity Tactile Perception for Precise 3D Positioning Iaroslav Okunevich Daria Trinitatova Pavel Kopanev Dzmitry Tsetserukou 17 11 0 22 Jul 2021
MobileCharger: an Autonomous Mobile Robot with Inverted Delta Actuator for Robust and Safe Robot Charging Iaroslav Okunevich Daria Trinitatova Pavel Kopanev Dzmitry Tsetserukou 20 5 0 22 Jul 2021
A Survey on Data-driven Software Vulnerability Assessment and Prioritization T. H. Le Huaming Chen Muhammad Ali Babar 24 78 0 18 Jul 2021
Learn Like The Pro: Norms from Theory to Size Neural Computation Margaret Trautner Ziwei Li S. Ravela 11 2 0 21 Jun 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 32 2 0 04 Jan 2021
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 31 79 0 17 Sep 2020
Better Model Selection with a new Definition of Feature Importance Fan Fang Carmine Ventre Lingbo Li Leslie Kanthan Fan Wu Michail Basios FAtt 32 5 0 16 Sep 2020
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning Matthias Feurer Katharina Eggensperger Stefan Falkner Marius Lindauer Frank Hutter 35 266 0 08 Jul 2020
A Hierarchy of Limitations in Machine Learning M. Malik 15 55 0 12 Feb 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence S. Raschka Joshua Patterson Corey J. Nolet AI4CE 24 482 0 12 Feb 2020
Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition S. Raschka Benjamin Kaufman AI4CE 24 67 0 17 Jan 2020