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Prediction

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

https://github.com/aboulch/tec_prediction

공식 코드

Ionospheric activity prediction using convolutional recurrent neural networks

https://github.com/abrarmajeedi/rica2_aqa

공식 코드

RICA2: Rubric-Informed, Calibrated Assessment of Actions

https://github.com/accountable-machine-intelligence/aicare

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Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients: a deep-learning-based study on a real-world longitudinal follow-up dataset

https://github.com/acid-design-lab/Nanomaterial_Morphology_Prediction

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Unveiling the Potential of AI for Nanomaterial Morphology Prediction

https://github.com/adamkhakhar/python-pac-code-prediction-set

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PAC Prediction Sets for Large Language Models of Code

https://github.com/adaptive-agents-lab/understading_auxilliary_tasks

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When does Self-Prediction help? Understanding Auxiliary Tasks in Reinforcement Learning

https://github.com/adaptive-intelligent-robotics/moqd-csp

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Multi-Objective Quality-Diversity for Crystal Structure Prediction

https://github.com/adbrebs/taxi

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Artificial Neural Networks Applied to Taxi Destination Prediction

https://github.com/adiyoss/AutoVowelDuration

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Automatic measurement of vowel duration via structured prediction

https://github.com/adsafetyjointlab/pptnet

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PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification

https://github.com/agiresearch/desocial

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DeSocial: Blockchain-based Decentralized Social Networks

https://github.com/ags3927/MERGE

공식 코드

MERGE: Multi-faceted Hierarchical Graph-based GNN for Gene Expression Prediction from Whole Slide Histopathology Images

https://github.com/aharley/neural_3d_mapping

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Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D Mapping

https://github.com/ahmadmak/time-series-optimization-research

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Optimizing Time Series Forecasting: A Comparative Study of Adam and Nesterov Accelerated Gradient on LSTM and GRU networks Using Stock Market data

https://github.com/ahmedesamy/leap

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Leap: Inductive Link Prediction via Learnable TopologyAugmentation

https://github.com/ahu-bioinf-lab/amgdti

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Heterogeneous networks in drug-target interaction prediction

https://github.com/ai-kmu/guide-cot

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GUIDE-CoT: Goal-driven and User-Informed Dynamic Estimation for Pedestrian Trajectory using Chain-of-Thought

https://github.com/ai4co/trajevo

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TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven Evolution

https://github.com/aida-ugent/NRL4LP

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Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress?

https://github.com/aida-ugent/dlp_viz

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New Perspectives on the Evaluation of Link Prediction Algorithms for Dynamic Graphs

https://github.com/aidan7757/stroke_prediction_using_clinical_social_features

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Stroke Prediction using Clinical and Social Features in Machine Learning

https://github.com/aimat-lab/megan_global_explanations

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Global Concept Explanations for Graphs by Contrastive Learning

https://github.com/aimetrics/jarvis

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FLEN: Leveraging Field for Scalable CTR Prediction

https://github.com/aiolab/periorbital-dataset

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Open-Source Periorbital Segmentation Dataset for Ophthalmic Applications

https://github.com/aioz-ai/sac

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Fine-Grained Visual Classification using Self Assessment Classifier

https://github.com/air-discover/llm-augmented-mtr

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Large Language Models Powered Context-aware Motion Prediction in Autonomous Driving

https://github.com/ais-bonn/pred_semantic

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Semantic Prediction: Which One Should Come First, Recognition or Prediction?

https://github.com/ajfisch/conformal-cascades

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Efficient Conformal Prediction via Cascaded Inference with Expanded Admission

https://github.com/ajfisch/conformal-fp

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Conformal Prediction Sets with Limited False Positives

https://github.com/ajfisch/few-shot-cp

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Few-shot Conformal Prediction with Auxiliary Tasks

https://github.com/akanuasiegbu/bipoco

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BiPOCO: Bi-Directional Trajectory Prediction with Pose Constraints for Pedestrian Anomaly Detection

https://github.com/akanuasiegbu/leveraging-trajectory-prediction-for-pedestrian-video-anomaly-detection

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Leveraging Trajectory Prediction for Pedestrian Video Anomaly Detection

https://github.com/akorba/Structured_Approach_Label_Ranking

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A Structured Prediction Approach for Label Ranking

https://github.com/akula01/DeepFork

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DeepFork: Supervised Prediction of Information Diffusion in GitHub

https://github.com/alaalab/webcp

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Estimating Uncertainty in Multimodal Foundation Models using Public Internet Data

https://github.com/alab-nii/multi-hop-analysis

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Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.