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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://bitbucket.org/A_2/hcup_research

공식 코드

Neural networks versus Logistic regression for 30 days all-cause readmission prediction

https://cran.r-project.org/package=babsim.hospital

공식 코드

Hospital Capacity Planning Using Discrete Event Simulation Under Special Consideration of the COVID-19 Pandemic

https://git.noc.ruhr-uni-bochum.de/vepabm/invano-public

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The effects of incentives, social norms, and employees' values on work performance

https://github.com/13952522076/incrementalad

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Online Self-Evolving Anomaly Detection in Cloud Computing Environments

https://github.com/2mmanu/henry

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HEnRY: A Multi-Agent System Framework for Multi-Domain Contexts

https://github.com/4paradigm/featinsight

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FeatInsight: An Online ML Feature Management System on 4Paradigm Sage-Studio Platform

https://github.com/8023looker/datasculpt

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DataSculpt: Crafting Data Landscapes for Long-Context LLMs through Multi-Objective Partitioning

https://github.com/AGAPIA/BTreeGeneticFramework

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Automatic difficulty management and testing in games using a framework based on behavior trees and genetic algorithms

https://github.com/AIM-IT4/Topological-Risk-Measure-for-Derivatives

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Beyond VaR and CVaR: Topological Risk Measures in Financial Markets

https://github.com/ANDROComputationalSolutions/RadarCommDataset

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Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification

https://github.com/Abdulmajid-Murad/IoT-Sensor-Gym

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Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning

https://github.com/Agricultural-Robotics-Bonn/visual-multi-crop-row-navigation

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Towards Autonomous Crop-Agnostic Visual Navigation in Arable Fields

https://github.com/AlessandroGnoatto/Deep-xVA-Solver

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Deep xVA solver -- A neural network based counterparty credit risk management framework

https://github.com/AlexOlsen/DeepWeeds

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DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning

https://github.com/AlirezaShamsoshoara/Fire-Detection-UAV-Aerial-Image-Classification-Segmentation-UnmannedAerialVehicle

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Aerial Imagery Pile burn detection using Deep Learning: the FLAME dataset

https://github.com/ArielCyber/When_a_RF_Beats_a_CNN_and_GRU

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When a RF Beats a CNN and GRU, Together -- A Comparison of Deep Learning and Classical Machine Learning Approaches for Encrypted Malware Traffic Classification

https://github.com/AslantheAslan/beta-GNN

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$β$-GNN: A Robust Ensemble Approach Against Graph Structure Perturbation

https://github.com/BMDS-ETH/SpineSegDiff

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Diffusion-Based Semantic Segmentation of Lumbar Spine MRI Scans of Lower Back Pain Patients

https://github.com/BNN-UPC/GNNPapersCommNets

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Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities

https://github.com/BigDataWUR/crop-gym

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CropGym: a Reinforcement Learning Environment for Crop Management

https://github.com/BorgwardtLab/mgp-tcn

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Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping

https://github.com/CAIR/deep-maze

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The Dreaming Variational Autoencoder for Reinforcement Learning Environments

https://github.com/CN-TU/reinforcement-learning-for-per-flow-buffer-sizing

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LFQ: Online Learning of Per-flow Queuing Policies using Deep Reinforcement Learning

https://github.com/CQ2SPARQLOWL/Dataset

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Competency Questions and SPARQL-OWL Queries Dataset and Analysis

https://github.com/CalebFikes/MCRAGE-Emory_Math_REU_2023

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MCRAGE: Synthetic Healthcare Data for Fairness

https://github.com/Captain-Hong/UDA-via-joint-adversarial-learning-and-self-learning

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Unsupervised domain adaptation for cross-modality liver segmentation via joint adversarial learning and self-learning

https://github.com/CedricTravelletti/MESLAS

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Learning excursion sets of vector-valued Gaussian random fields for autonomous ocean sampling

https://github.com/CesarDiazLondono/MPC-G2V-V2G

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A Simulation Tool for V2G Enabled Demand Response Based on Model Predictive Control

https://github.com/ChineseBest/AT-505

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An Intelligent Model for Solving Manpower Scheduling Problems

https://github.com/ChunyuLiu188/SpectrumFM

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SpectrumFM: A Foundation Model for Intelligent Spectrum Management

https://github.com/Continvvm/continuum

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Continuum: Simple Management of Complex Continual Learning Scenarios

https://github.com/CrawlScript/tf_geometric

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Efficient Graph Deep Learning in TensorFlow with tf_geometric

https://github.com/Cybonto/TCN4CLOUD

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Managing Cold-start in The Serverless Cloud with Temporal Convolutional Networks

https://github.com/DADABox/revisiting-iot-device-identification

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Revisiting IoT Device Identification

https://github.com/DBarreraFerro/No-show

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Improving healthcare access management by predicting patient no-show behaviour

https://github.com/DIAL-RPI/COVID19-ICUPrediction

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Integrative Analysis for COVID-19 Patient Outcome Prediction

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