Prediction Accuracy

Prediction accuracy, the degree to which a model correctly anticipates outcomes, is a central concern across diverse scientific fields. Current research emphasizes improving accuracy by addressing challenges like data distribution shifts (e.g., using ensemble methods and uncertainty quantification with neural networks), mitigating randomness in data splitting (e.g., through interval estimation), and optimizing model efficiency (e.g., via adaptive basis function selection or hardware-aware ensemble selection). These advancements are crucial for enhancing the reliability and applicability of predictive models in various domains, from healthcare diagnostics to financial forecasting and autonomous systems.

Papers

December 8, 2022

Enhanced prediction accuracy with uncertainty quantification in monitoring CO2 sequestration using convolutional neural networks
Yanhua Liu, Xitong Zhang, Ilya Tsvankin, Youzuo Lin
Convolutional Neural Network Uncertainty Quantification Prediction Accuracy Real Data Carbon Capture Seismic Inversion Carbon Sequestration

December 1, 2022

A Comprehensive Study on Machine Learning Methods to Increase the Prediction Accuracy of Classifiers and Reduce the Number of Medical Tests Required to Diagnose Alzheimer'S Disease
Md. Sharifur Rahman, Professor Girijesh Prasad
Machine Learning Alzheimer'S Disease Simple Classifier Prediction Accuracy Random Forest Classifier Accurate Disease Disease Diagnosis

November 14, 2022

Recognition of Cardiac MRI Orientation via Deep Neural Networks and a Method to Improve Prediction Accuracy
Houxin Zhou
Deep Neural Network Practical Method Recognition Rate Cardiac Magnetic Resonance Prediction Accuracy Medical Image Analysis Task Transfer Learning Strategy Cardiac MRI Orientation

October 18, 2022

Clustering-based Aggregations for Prediction in Event Streams
Yorick Spenrath, Marwan Hassani, Boudewijn F. Van Dongen
Human Prediction Predictive Model Prediction Accuracy accuratE Prediction Event Stream Customer Behavior Two Stage Aggregation Shopping Intent

October 11, 2022

Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems
Neeraj Varshney, Chitta Baral
High Efficiency Large Model Predictive Performance Prediction Accuracy Cascade Model

October 5, 2022

Restricted Bernoulli Matrix Factorization: Balancing the trade-off between prediction accuracy and coverage in classification based collaborative filtering
Ángel González-Prieto, Abraham Gutiérrez, Fernando Ortega, Raúl Lara-Cabrera
Classification Code Recommender System Matrix Factorization Collaborative Filtering Recommendation Model Prediction Accuracy Recommendation Quality

August 2, 2022

What can we Learn by Predicting Accuracy?
Olivier Risser-Maroix, Benjamin Chamand
Machine Learning Loss Function Symbolic Regression Prediction Accuracy Statistical Learning Theory

July 26, 2022

When BERT Fails -- The Limits of EHR Classification
Augusto Garcia-Agundez, Carsten Eickhoff
Transformer Megatron Decepticons Electronic Health Record Ticket BERT Continuum Limit Text Representation Prediction Accuracy Clinical Decision Support Readmission Prediction

July 15, 2022

Temporal Forward-Backward Consistency, Not Residual Error, Measures the Prediction Accuracy of Extended Dynamic Mode Decomposition
Masih Haseli, Jorge Cortés
Dynamical System Extended Version Dynamic Mode Decomposition Prediction Accuracy Temporal Consistency Data Driven Modeling Residual Error

June 26, 2022

Prediction Errors for Penalized Regressions based on Generalized Approximate Message Passing
Ayaka Sakata
Maximum Likelihood Prediction Accuracy Statistical Model Generalized Linear Model Prediction Error Approximate Message

June 1, 2022

Assessing the trade-off between prediction accuracy and interpretability for topic modeling on energetic materials corpora
Monica Puerto, Mason Kellett, Rodanthi Nikopoulou, Mark D. Fuge, Ruth Doherty, Peter W. Chung, Zois Boukouvalas
Inherent Interpretability Energy Policy Research Topic Detection Prediction Accuracy Energy Data Energetic Material

May 4, 2022

Prediction of fish location by combining fisheries data and sea bottom temperature forecasting
Matthieu Ospici, Klaas Sys, Sophie Guegan-Marat
Human Prediction Prediction Accuracy ANGLEr Behavior Fish Tracking Environmental Data Subsurface Temperature

April 18, 2022

Predictive Accuracy of a Hybrid Generalized Long Memory Model for Short Term Electricity Price Forecasting
Souhir Ben Amor, Heni Boubaker, Lotfi Belkacem
Autoregressive Model Prediction Accuracy GARCH Model Standard LSTM Electricity Price Forecasting Electricity Price

March 28, 2022

Enhancing Transformer Efficiency for Multivariate Time Series Classification
Yuqing Wang, Yun Zhao, Linda Petzold
Multivariate Time Series Classification Algorithm Prediction Accuracy Efficient Model Multivariate Time Series Classification Transformer Performance Progressive Pruning

February 24, 2022

Interfering Paths in Decision Trees: A Note on Deodata Predictors
Cristian Alb
Decision Tree Nearest Neighbor Short Note Prediction Accuracy Deodata Predictor Network Interference

February 19, 2022

Accurate Prediction and Uncertainty Estimation using Decoupled Prediction Interval Networks
Kinjal Patel, Steven Waslander
Uncertainty Estimation Predictive Uncertainty Prediction Interval Prediction Accuracy accuratE Prediction Interval Prediction

February 17, 2022

Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness
Kate Donahue, Alexandra Chouldechova, Krishnaram Kenthapadi
Prediction Accuracy Strict Complementarity Human Algorithm

December 15, 2021

Graph-based Ensemble Machine Learning for Student Performance Prediction
Yinkai Wang, Aowei Ding, Kaiyi Guan, Shixi Wu, Yuanqi Du
Prediction Accuracy Traditional Machine Learning Prediction Method Student Performance Prediction Graph Ensemble

November 15, 2021

Pseudo-domains in imaging data improve prediction of future disease status in multi-center studies
Matthias Perkonigg, Peter Mesenbrink, Alexander Goehler, Miljen Martic, Ahmed Ba-Ssalamah, Georg Langs
Human Prediction Raw Data Data Heterogeneity Prediction Accuracy Disease Progression Prediction Method Multi Center Study Pseudo Domain

November 9, 2021

Analysis of Sectoral Profitability of the Indian Stock Market Using an LSTM Regression Model
Jaydip Sen, Saikat Mondal, Sidra Mehtab
General Analysis Long Short Term Memory Predictive Model Prediction Accuracy Indian Stock Market

Prediction Accuracy

Papers

Enhanced prediction accuracy with uncertainty quantification in monitoring CO2 sequestration using convolutional neural networks

A Comprehensive Study on Machine Learning Methods to Increase the Prediction Accuracy of Classifiers and Reduce the Number of Medical Tests Required to Diagnose Alzheimer'S Disease

Recognition of Cardiac MRI Orientation via Deep Neural Networks and a Method to Improve Prediction Accuracy

Clustering-based Aggregations for Prediction in Event Streams

Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems

Restricted Bernoulli Matrix Factorization: Balancing the trade-off between prediction accuracy and coverage in classification based collaborative filtering

What can we Learn by Predicting Accuracy?

When BERT Fails -- The Limits of EHR Classification

Temporal Forward-Backward Consistency, Not Residual Error, Measures the Prediction Accuracy of Extended Dynamic Mode Decomposition

Prediction Errors for Penalized Regressions based on Generalized Approximate Message Passing

Assessing the trade-off between prediction accuracy and interpretability for topic modeling on energetic materials corpora

Prediction of fish location by combining fisheries data and sea bottom temperature forecasting

Predictive Accuracy of a Hybrid Generalized Long Memory Model for Short Term Electricity Price Forecasting

Enhancing Transformer Efficiency for Multivariate Time Series Classification

Interfering Paths in Decision Trees: A Note on Deodata Predictors

Accurate Prediction and Uncertainty Estimation using Decoupled Prediction Interval Networks

Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness

Graph-based Ensemble Machine Learning for Student Performance Prediction

Pseudo-domains in imaging data improve prediction of future disease status in multi-center studies

Analysis of Sectoral Profitability of the Indian Stock Market Using an LSTM Regression Model