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

https://github.com/IntelLabs/vdms

공식 코드

VDMS: Efficient Big-Visual-Data Access for Machine Learning Workloads

https://github.com/Intelligent-Reliable-Autonomous-Systems/WOFOSTGym

공식 코드

WOFOSTGym: A Crop Simulator for Learning Annual and Perennial Crop Management Strategies

https://github.com/IvanJericevich/IJPCTG-HawkesCoinTossX

공식 코드

Simulation and estimation of a point-process market-model with a matching engine

https://github.com/JARVVVIS/drought

공식 코드

Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data

https://github.com/JLU-WangXu/Octopus_Inspired_Optimization_OIO

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Octopus Inspired Optimization Algorithm: Multi-Level Structures and Parallel Computing Strategies

https://github.com/JakubDylag/CGM_Prediction_LSTM

공식 코드

Machine Learning based prediction of Glucose Levels in Type 1 Diabetes Patients with the use of Continuous Glucose Monitoring Data

https://github.com/JiahuiKChen/Practical-Configurable-Network-Traffic-Classification

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Practical and Configurable Network Traffic Classification Using Probabilistic Machine Learning

https://github.com/Joshua-Ludolf/FSA-benchmarking-Reproduction-Research

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Reproduction Research of FSA-Benchmark

https://github.com/JulianNeuberger/assisted-process-annotation

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Assisted Data Annotation for Business Process Information Extraction from Textual Documents

https://github.com/KIT-IAI/CopyPasteImputation

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Data-Driven Copy-Paste Imputation for Energy Time Series

https://github.com/KerwinFuyihang/Multimodal_crypto_prediction

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DAM: A Universal Dual Attention Mechanism for Multimodal Timeseries Cryptocurrency Trend Forecasting

https://github.com/LADI-Dataset/ladi-overview

공식 코드

LADI v2: Multi-label Dataset and Classifiers for Low-Altitude Disaster Imagery

https://github.com/LYZ98/Adversarial-Diffusion-Attacks-on-Graph-based-Traffic-Prediction-Models

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Adversarial Diffusion Attacks on Graph-based Traffic Prediction Models

https://github.com/LammertJ/RGT-Digital-Twin

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Large Language Models-Enabled Digital Twins for Precision Medicine in Rare Gynecological Tumors

https://github.com/Leechikara/Dialogue-Based-Anti-Fraud

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Are You for Real? Detecting Identity Fraud via Dialogue Interactions

https://github.com/Lemma1/NGSIM-interface

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High-Resolution Traffic Sensing with Autonomous Vehicles

https://github.com/Linking-ai/SEED

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SEED: Accelerating Reasoning Tree Construction via Scheduled Speculative Decoding

https://github.com/LucaHermes/graph-unet-traffic-prediction

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A Graph-based U-Net Model for Predicting Traffic in unseen Cities

https://github.com/MUSEFood/MUSEFood

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MUSEFood: Multi-sensor-based Food Volume Estimation on Smartphones

https://github.com/MachineLearningBCAM/Load-forecasting-IEEE-TPWRS-2020

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Probabilistic Load Forecasting Based on Adaptive Online Learning

https://github.com/MatZar01/KrakN

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KrakN: Transfer Learning framework for thin crack detection in infrastructure maintenance

https://github.com/MathiasNT/NRI_for_Transport

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Unboxing the graph: Neural Relational Inference for Mobility Prediction

https://github.com/Mathsion2/IPEval

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IPEval: A Bilingual Intellectual Property Agency Consultation Evaluation Benchmark for Large Language Models

https://github.com/MatiasAlvo/Neural_inventory_control

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Neural Inventory Control in Networks via Hindsight Differentiable Policy Optimization

https://github.com/MatteoStefanini/DeepVM

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A Deep Learning based approach to VM behavior identification in cloud systems

https://github.com/Mayur-Palavalli/LLM-IaC-generation

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Using a Feedback Loop for LLM-based Infrastructure as Code Generation

https://github.com/MinodRashmika/APSO_SAC_IIOT

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Reinforcement Learning Controlled Adaptive PSO for Task Offloading in IIoT Edge Computing

https://github.com/Mona-Ashtari/SpatialOCT-Glaucoma

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Spatial-aware Transformer-GRU Framework for Enhanced Glaucoma Diagnosis from 3D OCT Imaging

https://github.com/MrShoenel/dissertation-replication

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Quantifying Process Quality: The Role of Effective Organizational Learning in Software Evolution

https://github.com/Mvrjustid/IMWUT-Hierarchical-HAR-PBD

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Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data

https://github.com/NECDSresearch2007/RM-TSepisodic-and-dynamic

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Learning with Posterior Sampling for Revenue Management under Time-varying Demand

https://github.com/NYUMedML/DeepEHR

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Deep EHR: Chronic Disease Prediction Using Medical Notes

https://github.com/Neel1302/o1-planning-benchmark

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On The Planning Abilities of OpenAI's o1 Models: Feasibility, Optimality, and Generalizability

https://github.com/OSM-DM-KGP/Narmada

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NARMADA: Need and Available Resource Managing Assistant for Disasters and Adversities

https://github.com/OpenFogStack/temporal-location-prediction

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Predicting Temporal Aspects of Movement for Predictive Replication in Fog Environments

https://github.com/Optimization-and-Machine-Learning-Lab/energy_fed_trpo

공식 코드

Generalizing in Net-Zero Microgrids: A Study with Federated PPO and TRPO

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