Accurate Predictive Model

Developing accurate predictive models is a crucial area of research aiming to improve forecasting across diverse fields. Current efforts focus on enhancing model accuracy through advanced data preprocessing techniques, incorporating sophisticated architectures like Gaussian processes, recurrent neural networks, transformers, and diffusion models, and addressing challenges such as handling missing data, sparse observations, and non-stationary data streams. These improvements have significant implications for various applications, from optimizing resource allocation in smart cities and improving healthcare decision-making to enhancing the reliability of industrial systems like wind farms and data storage. Furthermore, research emphasizes the importance of model calibration and fairness to ensure responsible and reliable predictions.

Papers

August 15, 2024

Impact of Comprehensive Data Preprocessing on Predictive Modelling of COVID-19 Mortality
Sangita Das, Subhrajyoti Maji
Global Impact Covid 19 Prediction Model Data Preprocessing Accurate Predictive Model Preprocessing Pipeline

June 28, 2024

Permutation invariant multi-output Gaussian Processes for drug combination prediction in cancer
Leiv Rønneberg, Vidhi Lalchand, Paul D. W. Kirk
Deep Generative Model Machine Permutation Cancer Diagnosis Variational Approximation Multi Output Gaussian Process Dose Response Accurate Predictive Model

May 27, 2024

Building a temperature forecasting model for the city with the regression neural network (RNN)
Nguyen Phuc Tran, Duy Thanh Tran, Thi Thuy Nga Duong
Neural Network Recurrent Neural Network Predictive Model Novel Regression Urban Environment \Sigma}{\Delta}$ Low Pas RNN Weather Prediction Model Accurate Predictive Model Urban Temperature

April 18, 2024

A Time-Inhomogeneous Markov Model for Resource Availability under Sparse Observations
Lukas Rottkamp, Matthias Schubert
Temporal Information Resource Utilization Markov Model Probability Estimation Accurate Predictive Model Homogeneous Markov

April 11, 2024

Calibration of Continual Learning Models
Lanpei Li, Elia Piccoli, Andrea Cossu, Davide Bacciu, Vincenzo Lomonaco
Continual LEArning Calibration Performance Model Calibration Continual Learning Model Accurate Predictive Model Continual Calibration

December 15, 2023

Modeling Unknown Stochastic Dynamical System via Autoencoder
Zhongshu Xu, Yuan Chen, Qifan Chen, Dongbin Xiu
Supervised Autoencoder Stochastic Dynamical System Accurate Predictive Model

December 2, 2023

When accurate prediction models yield harmful self-fulfilling prophecies
Wouter A.C. van Amsterdam, Nan van Geloven, Jesse H. Krijthe, Rajesh Ranganath, Giovanni Ciná
Data Driven Prediction Accuracy Harmful Content Prediction Model Model Development Predictive Power Accurate Predictive Model

October 10, 2023

Disk failure prediction based on multi-layer domain adaptive learning
Guangfu Gao, Peng Wu, Hussain Dawood
Machine Learning Model Adaptive Learning Data Storage Accurate Predictive Model Layer Feature Disk Failure

August 7, 2023

DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction
Chengqing Yu, Fei Wang, Zezhi Shao, Tao Sun, Lin Wu, Yongjun Xu
Transformer Based Model Multivariate Time Series Temporal Attention Multivariate Time Series Forecasting Accurate Predictive Model

July 20, 2023

Flow Map Learning for Unknown Dynamical Systems: Overview, Implementation, and Benchmarks
Victor Churchill, Dongbin Xiu
Deep Neural Network New Benchmark Dynamical System Practical Implementation Flow Based Accurate Predictive Model Flow Map

January 26, 2023

Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series
Abdul Fatir Ansari, Alvin Heng, Andre Lim, Harold Soh
Discrete Time New Filtering Continuous Time Model Sampled Time Series Accurate Predictive Model Neural State Space Model

January 16, 2023

A Transformer-based Diffusion Probabilistic Model for Heart Rate and Blood Pressure Forecasting in Intensive Care Unit
Ping Chang, Huayu Li, Stuart F. Quan, Shuyang Lu, Shu-Fen Wung, Janet Roveda, Ao Li
Transformer Based Intensive Care Unit Heart Rate Blood Pressure Vital Sign Transformer Based Diffusion Model Accurate Predictive Model

January 8, 2023

Prognosis and Treatment Prediction of Type-2 Diabetes Using Deep Neural Network and Machine Learning Classifiers
Md. Kowsher, Mahbuba Yesmin Turaba, Tanvir Sajed, M M Mahabubur Rahman
Neural Network Deep Neural Network Training Data Machine Learning Classifier Prognosis Prediction Type 2 Diabetes Accurate Predictive Model Treatment Outcome Prediction

September 8, 2022

FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems
Kacper Sokol, Alexander Hepburn, Rafael Poyiadzi, Matthew Clifford, Raul Santos-Rodriguez, Peter Flach
Achieving Fairness Predictive Algorithm Python Toolbox Accurate Predictive Model Predictive System

November 30, 2021

Bayesian Modelling of Multivalued Power Curves from an Operational Wind Farm
L. A. Bull, P. A. Gardner, T. J. Rogers, N. Dervilis, E. J. Cross, E. Papatheou, A. E. Maguire, C. Campos, K. Worden
Bayesian Model Accurate Predictive Model Wind Farm Probabilistic Regression Power Curve Model Power Data

Accurate Predictive Model

Papers

Impact of Comprehensive Data Preprocessing on Predictive Modelling of COVID-19 Mortality

Permutation invariant multi-output Gaussian Processes for drug combination prediction in cancer

Building a temperature forecasting model for the city with the regression neural network (RNN)

A Time-Inhomogeneous Markov Model for Resource Availability under Sparse Observations

Calibration of Continual Learning Models

Modeling Unknown Stochastic Dynamical System via Autoencoder

When accurate prediction models yield harmful self-fulfilling prophecies

Disk failure prediction based on multi-layer domain adaptive learning

DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction

Flow Map Learning for Unknown Dynamical Systems: Overview, Implementation, and Benchmarks

Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series

A Transformer-based Diffusion Probabilistic Model for Heart Rate and Blood Pressure Forecasting in Intensive Care Unit

Prognosis and Treatment Prediction of Type-2 Diabetes Using Deep Neural Network and Machine Learning Classifiers

FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems

Bayesian Modelling of Multivalued Power Curves from an Operational Wind Farm