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08/17/2023
Bayesian polynomial neural networks and polynomial neural ordinary differential equations
Symbolic regression with polynomial neural networks and polynomial neura...
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05/27/2023
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text
Large language models (LLMs) have notably enhanced the fluency and diver...
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05/10/2023
An Empirical Study on the Robustness of the Segment Anything Model (SAM)
The Segment Anything Model (SAM) is a foundation model for general image...
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04/09/2023
Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding
Large language models (LLMs) have made significant progress in various d...
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03/06/2023
Dynamic Prompting: A Unified Framework for Prompt Tuning
It has been demonstrated that prompt tuning is highly effective in effic...
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02/11/2023
MatKB: Semantic Search for Polycrystalline Materials Synthesis Procedures
In this paper, we present a novel approach to knowledge extraction and r...
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12/19/2022
OASum: Large-Scale Open Domain Aspect-based Summarization
Aspect or query-based summarization has recently caught more attention, ...
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10/22/2022
PcMSP: A Dataset for Scientific Action Graphs Extraction from Polycrystalline Materials Synthesis Procedure Text
Scientific action graphs extraction from materials synthesis procedures ...
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09/28/2022
VREN: Volleyball Rally Dataset with Expression Notation Language
This research is intended to accomplish two goals: The first goal is to ...
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09/06/2022
Few-Shot Document-Level Event Argument Extraction
Event argument extraction (EAE) has been well studied at the sentence le...
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08/09/2022
Interpretable Polynomial Neural Ordinary Differential Equations
Neural networks have the ability to serve as universal function approxim...
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06/26/2022
Predicting the Need for Blood Transfusion in Intensive Care Units with Reinforcement Learning
As critically ill patients frequently develop anemia or coagulopathy, tr...
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03/28/2022
Enhancing Transformer Efficiency for Multivariate Time Series Classification
Most current multivariate time series (MTS) classification algorithms fo...
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03/28/2022
Integrating Physiological Time Series and Clinical Notes with Transformer for Early Prediction of Sepsis
Sepsis is a leading cause of death in the Intensive Care Units (ICU). Ea...
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10/01/2021
Empirical Quantitative Analysis of COVID-19 Forecasting Models
COVID-19 has been a public health emergency of international concern sin...
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06/22/2021
Multiple Organ Failure Prediction with Classifier-Guided Generative Adversarial Imputation Networks
Multiple organ failure (MOF) is a severe syndrome with a high mortality ...
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03/19/2021
Empirical Analysis of Machine Learning Configurations for Prediction of Multiple Organ Failure in Trauma Patients
Multiple organ failure (MOF) is a life-threatening condition. Due to its...
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03/19/2021
BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma Patients
Survival analysis is a technique to predict the times of specific outcom...
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02/12/2021
Robust and integrative Bayesian neural networks for likelihood-free parameter inference
State-of-the-art neural network-based methods for learning summary stati...
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12/28/2020
Model Optimization for Deep Space Exploration via Simulators and Deep Learning
Machine learning, and eventually true artificial intelligence techniques...
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09/22/2020
How Much Does It Hurt: A Deep Learning Framework for Chronic Pain Score Assessment
Chronic pain is defined as pain that lasts or recurs for more than 3 to ...
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07/04/2020
Scalable Bayesian Functional Connectivity Inference for Multi-Electrode Array Recordings
Multi-electrode arrays (MEAs) can record extracellular action potentials...
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02/10/2020
Advances in Deep Space Exploration via Simulators Deep Learning
The StarLight program conceptualizes fast interstellar travel via small ...
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06/05/2019
A Deep Learning Framework for Classification of in vitro Multi-Electrode Array Recordings
Multi-Electrode Arrays (MEAs) have been widely used to record neuronal a...
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05/28/2019