accuratE Prediction

Accurate prediction across diverse fields, from medicine to finance, aims to improve decision-making by leveraging advanced computational methods. Current research emphasizes the development and refinement of machine learning models, including deep learning architectures like transformers and neural networks, as well as ensemble methods and techniques to address data imbalance and uncertainty. These advancements are improving the accuracy and reliability of predictions in various domains, leading to more effective strategies in healthcare, drug discovery, resource management, and financial modeling. The focus is shifting towards not only maximizing prediction accuracy but also ensuring reliable uncertainty quantification and interpretability of results.

Papers

October 31, 2024

Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales
Tang Li, Mengmeng Ma, Xi Peng
Foundation Model Recognition Task Prediction Accuracy accuratE Prediction Rationale Alignment

October 24, 2024

Adjusted Overfitting Regression
Dylan Wilson
Novel Regression Model Overfitting Linear Regression accuratE Prediction

September 23, 2024

Computational Pathology for Accurate Prediction of Breast Cancer Recurrence: Development and Validation of a Deep Learning-based Tool
Ziyu Su, Yongxin Guo, Robert Wesolowski, Gary Tozbikian, Nathaniel S. O'Connell, M. Khalid Khan Niazi, Metin N. Gurcan
Computational Pathology External Validation Pathology Image accuratE Prediction Recurrence Prediction

September 19, 2024

Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations
Heng Rao, Yu Gu, Jason Zipeng Zhang, Ge Yu, Yang Cao, Minghan Chen
Gradient Based Open Sampling Part Whole Hierarchy accuratE Prediction Non Converging Artificial Oscillation Frequency Bias

July 8, 2024

When is the consistent prediction likely to be a correct prediction?
Alex Nguyen, Dheeraj Mekala, Chengyu Dong, Jingbo Shang
Self Consistency accuratE Prediction Answer Correctness Consistent Prediction

June 27, 2024

Accurate Prediction of Ligand-Protein Interaction Affinities with Fine-Tuned Small Language Models
Ben Fauber
Language Model Protein Ligand accuratE Prediction Drug Target Interaction Therapeutic Target

June 6, 2024

Can Language Models Use Forecasting Strategies?
Sarah Pratt, Seth Blumberg, Pietro Kreitlon Carolino, Meredith Ringel Morris
Language Model Human Prediction LLM Based Forecasting Performance accuratE Prediction Forecasting Strategy

May 31, 2024

ADEP: A Novel Approach Based on Discriminator-Enhanced Encoder-Decoder Architecture for Accurate Prediction of Adverse Effects in Polypharmacy
Katayoun Kobraei, Mehrdad Baradaran, Seyed Mohsen Sadeghi, Raziyeh Masumshah, Changiz Eslahchi
Gene Level GNN Encoder Decoder Architecture Drug Drug Interaction accuratE Prediction Side Effect Polypharmacy Side Effect

May 6, 2024

Boosting MLPs with a Coarsening Strategy for Long-Term Time Series Forecasting
Nannan Bian, Minhong Zhu, Li Chen, Weiran Cai
Multi Layer Long Term Time Series Forecasting Multi Layer Perceptron accuratE Prediction Graph Coarsening Forecasting Benchmark

November 24, 2023

Disruption Prediction in Fusion Devices through Feature Extraction and Logistic Regression
Diogo R. Ferreira
Feature Extraction Logistic Regression accuratE Prediction Disruption Prediction Fusion Energy

October 17, 2023

Accurate prediction of international trade flows: Leveraging knowledge graphs and their embeddings
Diego Rincon-Yanez, Chahinez Ounoughi, Bassem Sellami, Tarmo Kalvet, Marek Tiits, Sabrina Senatore, Sadok Ben Yahia
Knowledge Graph Jina Embeddings Knowledge Representation Knowledge Graph Embeddings accuratE Prediction KG Embeddings Trade Flow

October 13, 2023

A Hybrid Transfer Learning Assisted Decision Support System for Accurate Prediction of Alzheimer Disease
Mahin Khan Mahadi, Abdullah Abdullah, Jamal Uddin, Asif Newaz
Deep Learning Deep Learning Model Transfer Learning Alzheimer'S Disease accuratE Prediction Ensemble Averaging

October 5, 2023

TimeGPT-1
Azul Garza, Cristian Challu, Max Mergenthaler-Canseco
Time Series Time Series Analysis accuratE Prediction Large Time Series Model

October 3, 2023

Between accurate prediction and poor decision making: the AI/ML gap
Gianluca Bontempi
Artificial Intelligence accuratE Prediction Probability Estimation Utility Based Bridging Gap Utility Assessment

September 25, 2023

pLMFPPred: a novel approach for accurate prediction of functional peptides integrating embedding from pre-trained protein language model and imbalanced learning
Zebin Ma, Yonglin Zou, Xiaobin Huang, Wenjin Yan, Hao Xu, Jiexin Yang, Ying Zhang, Jinqi Huang
Novel Approach Protein Sequence accuratE Prediction Protein Language Peptide Drug

September 17, 2023

Structure to Property: Chemical Element Embeddings and a Deep Learning Approach for Accurate Prediction of Chemical Properties
Shokirbek Shermukhamedov, Dilorom Mamurjonova, Michael Probst
Machine Learning Deep Learning Approach Inner Structure Molecular Data accuratE Prediction Computational Chemistry Chemical Structure Material Datasets MoleculeNet Benchmark

July 12, 2023

Automatically Reconciling the Trade-off between Prediction Accuracy and Earliness in Prescriptive Business Process Monitoring
Andreas Metzger, Tristan Kley, Aristide Rothweiler, Klaus Pohl
Adaptation Concern Prediction Accuracy accuratE Prediction Prescriptive Process Monitoring Efficient Prediction

May 17, 2023

Short-Term Stock Price Forecasting using exogenous variables and Machine Learning Algorithms
Albert Wong, Steven Whang, Emilio Sagre, Niha Sachin, Gustavo Dutra, Yew-Wei Lim, Gaetan Hains, Youry Khmelevsky, Frank Zhang
Machine Learning Machine Learning Model Machine Learning Algorithm accuratE Prediction Stock Price Forecasting Exogenous Variable

March 19, 2023

Calibration of Neural Networks
Ruslan Vasilev, Alexander D'yakonov
Neural Network Calibration Performance Confidence Calibration Calibration Method accuratE Prediction

March 14, 2023

Deep incremental learning models for financial temporal tabular datasets with distribution shifts
Thomas Wong, Mauricio Barahona
Distribution Shift Incremental Learning accuratE Prediction Self Similar Financial Dataset Deep Class Incremental Learning

accuratE Prediction

Papers

Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales

Adjusted Overfitting Regression

Computational Pathology for Accurate Prediction of Breast Cancer Recurrence: Development and Validation of a Deep Learning-based Tool

Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations

When is the consistent prediction likely to be a correct prediction?

Accurate Prediction of Ligand-Protein Interaction Affinities with Fine-Tuned Small Language Models

Can Language Models Use Forecasting Strategies?

ADEP: A Novel Approach Based on Discriminator-Enhanced Encoder-Decoder Architecture for Accurate Prediction of Adverse Effects in Polypharmacy

Boosting MLPs with a Coarsening Strategy for Long-Term Time Series Forecasting

Disruption Prediction in Fusion Devices through Feature Extraction and Logistic Regression

Accurate prediction of international trade flows: Leveraging knowledge graphs and their embeddings

A Hybrid Transfer Learning Assisted Decision Support System for Accurate Prediction of Alzheimer Disease

TimeGPT-1

Between accurate prediction and poor decision making: the AI/ML gap

pLMFPPred: a novel approach for accurate prediction of functional peptides integrating embedding from pre-trained protein language model and imbalanced learning

Structure to Property: Chemical Element Embeddings and a Deep Learning Approach for Accurate Prediction of Chemical Properties

Automatically Reconciling the Trade-off between Prediction Accuracy and Earliness in Prescriptive Business Process Monitoring

Short-Term Stock Price Forecasting using exogenous variables and Machine Learning Algorithms

Calibration of Neural Networks

Deep incremental learning models for financial temporal tabular datasets with distribution shifts