{"total":58,"rows":[{"id":"2210.10108","title":"Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation","created":"2022-10-18","cited_by_count":55,"area":null},{"id":"2211.02989","title":"A Comprehensive Survey of Regression Based Loss Functions for Time Series Forecasting","created":"2022-11-05","cited_by_count":33,"area":null},{"id":"2207.01390","title":"FakeNews: GAN-based generation of realistic 3D volumetric data -- A systematic review and taxonomy","created":"2022-07-04","cited_by_count":13,"area":null},{"id":"2411.10492","title":"MFP3D: Monocular Food Portion Estimation Leveraging 3D Point Clouds","created":"2024-11-14","cited_by_count":9,"area":null},{"id":"2112.01039","title":"How global observation works in Federated Learning: Integrating vertical training into Horizontal Federated Learning","created":"2021-12-02","cited_by_count":6,"area":null},{"id":"2109.01425","title":"Novel split quality measures for stratified multilabel Cross Validation with application to large and sparse gene ontology datasets","created":"2021-09-03","cited_by_count":3,"area":null},{"id":"2306.06142","title":"Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge","created":"2023-06-09","cited_by_count":3,"area":null},{"id":"2402.18929","title":"Navigating Beyond Dropout: An Intriguing Solution Towards Generalizable Image Super Resolution","created":"2024-02-29","cited_by_count":3,"area":null},{"id":"2407.09094","title":"Beyond Image Prior: Embedding Noise Prior into Conditional Denoising Transformer","created":"2024-07-12","cited_by_count":3,"area":null},{"id":"2104.10511","title":"Hierarchical Convolutional Neural Network with Feature Preservation and Autotuned Thresholding for Crack Detection","created":"2021-04-21","cited_by_count":2,"area":null},{"id":"2110.13558","title":"Cross-Region Building Counting in Satellite Imagery using Counting Consistency","created":"2021-10-26","cited_by_count":2,"area":null},{"id":"2208.12156","title":"Deep neural networks for fast acquisition of aortic 3D pressure and velocity flow fields","created":"2022-08-25","cited_by_count":2,"area":null},{"id":"2306.06408","title":"Fast light-field 3D microscopy with out-of-distribution detection and adaptation through Conditional Normalizing Flows","created":"2023-06-10","cited_by_count":2,"area":null},{"id":"2310.00926","title":"Integration of Graph Neural Network and Neural-ODEs for Tumor Dynamic Prediction","created":"2023-10-02","cited_by_count":2,"area":null},{"id":"2509.23936","title":"Do Language Models Update their Forecasts with New Information?","created":"2025-09-28","cited_by_count":2,"area":null},{"id":"2208.03135","title":"Modeling Price Elasticity for Occupancy Prediction in Hotel Dynamic Pricing","created":"2022-08-04","cited_by_count":1,"area":null},{"id":"2309.05221","title":"Exploring the Law of Numbers: Evidence from China's Real Estate","created":"2023-09-11","cited_by_count":1,"area":null},{"id":"2310.10762","title":"Exploring hyperelastic material model discovery for human brain cortex: multivariate analysis vs. artificial neural network approaches","created":"2023-10-16","cited_by_count":1,"area":null},{"id":"2402.10248","title":"A Data-Driven Supervised Machine Learning Approach to Estimating Global Ambient Air Pollution Concentrations With Associated Prediction Intervals","created":"2024-02-15","cited_by_count":1,"area":null},{"id":"2411.10431","title":"Diffusion Model-based Parameter Estimation in Dynamic Power Systems","created":"2024-11-15","cited_by_count":1,"area":"diffusion"},{"id":"2504.17522","title":"TableCenterNet: A one-stage network for table structure recognition","created":"2025-04-24","cited_by_count":1,"area":null},{"id":"2506.13786","title":"Enhancing Bagging Ensemble Regression with Data Integration for Time Series-Based Diabetes Prediction","created":"2025-06-11","cited_by_count":1,"area":null},{"id":"2106.00306","title":"Understanding peacefulness through the world news","created":"2021-06-01","cited_by_count":0,"area":null},{"id":"2107.06031","title":"Vehicle Fuel Optimization Under Real-World Driving Conditions: An Explainable Artificial Intelligence Approach","created":"2021-07-13","cited_by_count":0,"area":null},{"id":"2108.10155","title":"Construction Cost Index Forecasting: A Multi-feature Fusion Approach","created":"2021-08-18","cited_by_count":0,"area":null},{"id":"2109.04572","title":"Deciphering Environmental Air Pollution with Large Scale City Data","created":"2021-09-09","cited_by_count":0,"area":null},{"id":"2111.04071","title":"DVS: Deep Visibility Series and its Application in Construction Cost Index Forecasting","created":"2021-11-07","cited_by_count":0,"area":null},{"id":"2202.11877","title":"A Unified Framework for Campaign Performance Forecasting in Online Display Advertising","created":"2022-02-24","cited_by_count":0,"area":null},{"id":"2210.02177","title":"Multi-objective optimization via equivariant deep hypervolume approximation","created":"2022-10-05","cited_by_count":0,"area":null},{"id":"2211.04160","title":"A Neural Network Subgrid Model of the Early Stages of Planet Formation","created":"2022-11-08","cited_by_count":0,"area":null},{"id":"2304.08880","title":"NPS: A Framework for Accurate Program Sampling Using Graph Neural Network","created":"2023-04-18","cited_by_count":0,"area":null},{"id":"2305.20003","title":"A Novel Black Box Process Quality Optimization Approach based on Hit Rate","created":"2023-05-31","cited_by_count":0,"area":null},{"id":"2308.06309","title":"Predicting Resilience with Neural Networks","created":"2023-08-11","cited_by_count":0,"area":null},{"id":"2309.00180","title":"Exploring the law of text geographic information","created":"2023-09-01","cited_by_count":0,"area":null},{"id":"2309.11226","title":"Towards a Prediction of Machine Learning Training Time to Support Continuous Learning Systems Development","created":"2023-09-20","cited_by_count":0,"area":null},{"id":"2312.05348","title":"High-Quality Live Video Streaming via Transcoding Time Prediction and Preset Selection","created":"2023-12-08","cited_by_count":0,"area":null},{"id":"2401.12103","title":"LearnedWMP: Workload Memory Prediction Using Distribution of Query Templates","created":"2024-01-22","cited_by_count":0,"area":null},{"id":"2402.08742","title":"Unveiling Hidden Energy Anomalies: Harnessing Deep Learning to Optimize Energy Management in Sports Facilities","created":"2024-02-13","cited_by_count":0,"area":null},{"id":"2407.12337","title":"Virtual Gram staining of label-free bacteria using darkfield microscopy and deep learning","created":"2024-07-17","cited_by_count":0,"area":null},{"id":"2408.14718","title":"Residual-based Adaptive Huber Loss (RAHL) -- Design of an improved Huber loss for CQI prediction in 5G networks","created":"2024-08-27","cited_by_count":0,"area":null},{"id":"2409.17889","title":"A multi-source data power load forecasting method using attention mechanism-based parallel cnn-gru","created":"2024-09-26","cited_by_count":0,"area":null},{"id":"2503.06439","title":"Generalizable Machine Learning Models for Predicting Data Center Server Power, Efficiency, and Throughput","created":"2025-03-09","cited_by_count":0,"area":null},{"id":"2503.21392","title":"HybridoNet-Adapt: A Domain-Adapted Framework for Accurate Lithium-Ion Battery RUL Prediction","created":"2025-03-27","cited_by_count":0,"area":null},{"id":"2505.16664","title":"HyBattNet: Hybrid Framework for Predicting the Remaining Useful Life of Lithium-Ion Batteries","created":"2025-05-22","cited_by_count":0,"area":null},{"id":"2507.05806","title":"Predicting Graph Structure via Adapted Flux Balance Analysis","created":"2025-07-08","cited_by_count":0,"area":null},{"id":"2508.12440","title":"Machine Learning-Based Manufacturing Cost Prediction from 2D Engineering Drawings via Geometric Features","created":"2025-08-17","cited_by_count":0,"area":null},{"id":"2508.14069","title":"Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation","created":"2025-08-12","cited_by_count":0,"area":null},{"id":"2508.15369","title":"Enhancing Forecasting with a 2D Time Series Approach for Cohort-Based Data","created":"2025-08-21","cited_by_count":0,"area":null},{"id":"2509.18148","title":"Augmenting Limited and Biased RCTs through Pseudo-Sample Matching-Based Observational Data Fusion Method","created":"2025-09-16","cited_by_count":0,"area":null},{"id":"2510.26808","title":"A Machine Learning-Based Framework to Shorten the Questionnaire for Assessing Autism Intervention","created":"2025-10-22","cited_by_count":0,"area":null},{"id":"2601.02754","title":"Q-Regularized Generative Auto-Bidding: From Suboptimal Trajectories to Optimal Policies","created":"2026-01-06","cited_by_count":0,"area":"deeprl"},{"id":"2603.12117","title":"SommBench: Assessing Sommelier Expertise of Language Models","created":"2026-03-12","cited_by_count":0,"area":null},{"id":"2603.28593","title":"Physics-Informed Framework for Impact Identification in Aerospace Composites","created":"2026-03-30","cited_by_count":0,"area":null},{"id":"2604.10045","title":"Daily Predictions of F10.7 and F30 Solar Indices with Deep Learning","created":"2026-04-11","cited_by_count":0,"area":null},{"id":"2604.15977","title":"Impact of Nonlinear Power Amplifier on Massive MIMO: Machine Learning Prediction Under Realistic Radio Channel","created":"2026-04-17","cited_by_count":0,"area":null},{"id":"2604.27297","title":"Machine Collective Intelligence for Explainable Scientific Discovery","created":"2026-04-30","cited_by_count":0,"area":null},{"id":"2608.20656","title":"RiskTraf: Risk-Extrapolated Residual Learning for Multi-Variate Traffic Flow Prediction","created":"2026-08-21","cited_by_count":0,"area":null},{"id":"2609.24586","title":"Overlay\\_dx - Automating forecasting evaluation","created":"2026-09-21","cited_by_count":0,"area":null}],"next_cursor":null}