{"total":26,"rows":[{"id":"2405.19363","title":"Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification","created":"2024-05-24","cited_by_count":53,"area":null},{"id":"2411.02530","title":"A Comprehensive Study on Quantization Techniques for Large Language Models","created":"2024-10-30","cited_by_count":36,"area":null},{"id":"2503.11835","title":"How Can Time Series Analysis Benefit From Multiple Modalities? A Survey and Outlook","created":"2025-03-14","cited_by_count":20,"area":null},{"id":"2406.06081","title":"An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions","created":"2024-06-10","cited_by_count":11,"area":null},{"id":"2404.19265","title":"Mapping New Realities: Ground Truth Image Creation with Pix2Pix Image-to-Image Translation","created":"2024-04-30","cited_by_count":7,"area":null},{"id":"2408.04193","title":"Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks","created":"2024-08-08","cited_by_count":5,"area":null},{"id":"2410.19846","title":"YOLO11 and Vision Transformers based 3D Pose Estimation of Immature Green Fruits in Commercial Apple Orchards for Robotic Thinning","created":"2024-10-21","cited_by_count":4,"area":null},{"id":"2505.17637","title":"Causal Spatio-Temporal Prediction: An Effective and Efficient Multi-Modal Approach","created":"2025-05-23","cited_by_count":4,"area":null},{"id":"2508.18803","title":"A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networks","created":"2025-08-26","cited_by_count":3,"area":null},{"id":"2507.05390","title":"From General to Specialized: The Need for Foundational Models in Agriculture","created":"2025-07-07","cited_by_count":2,"area":null},{"id":"2502.09657","title":"Integrating Spatiotemporal Vision Transformer into Digital Twins for High-Resolution Heat Stress Forecasting in Campus Environments","created":"2025-02-12","cited_by_count":1,"area":null},{"id":"2506.10228","title":"California Crop Yield Benchmark: Combining Satellite Image, Climate, Evapotranspiration, and Soil Data Layers for County-Level Yield Forecasting of Over 70 Crops","created":"2025-06-11","cited_by_count":1,"area":null},{"id":"2506.17250","title":"Towards Interpretable Adversarial Examples via Sparse Adversarial Attack","created":"2025-06-08","cited_by_count":1,"area":null},{"id":"2509.15966","title":"A multi-temporal multi-spectral attention-augmented deep convolution neural network with contrastive learning for crop yield prediction","created":"2025-09-19","cited_by_count":1,"area":null},{"id":"2510.08836","title":"Long-Tailed Recognition via Information-Preservable Two-Stage Learning","created":"2025-10-09","cited_by_count":1,"area":null},{"id":"2510.08901","title":"Modeling Time-Lapse Trajectories to Characterize Cranberry Growth","created":"2025-10-10","cited_by_count":1,"area":null},{"id":"2312.01001","title":"Learning county from pixels: corn yield prediction with attention-weighted multiple instance learning","created":"2023-12-02","cited_by_count":0,"area":null},{"id":"2404.16037","title":"VN-Net: Vision-Numerical Fusion Graph Convolutional Network for Sparse Spatio-Temporal Meteorological Forecasting","created":"2024-01-26","cited_by_count":0,"area":null},{"id":"2506.06701","title":"Do Protein Transformers Have Biological Intelligence?","created":"2025-06-07","cited_by_count":0,"area":null},{"id":"2507.05849","title":"DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction","created":"2025-07-08","cited_by_count":0,"area":null},{"id":"2507.22101","title":"AI in Agriculture: A Survey of Deep Learning Techniques for Crops, Fisheries and Livestock","created":"2025-07-29","cited_by_count":0,"area":null},{"id":"2510.07350","title":"Out-of-Distribution Generalization in Climate-Aware Yield Prediction with Earth Observation Data","created":"2025-10-08","cited_by_count":0,"area":null},{"id":"2510.23118","title":"Quantizing Space and Time: Fusing Time Series and Images for Earth Observation","created":"2025-10-27","cited_by_count":0,"area":null},{"id":"2604.03311","title":"PollutionNet: A Vision Transformer Framework for Climatological Assessment of NO$_2$ and SO$_2$ Using Satellite-Ground Data Fusion","created":"2026-03-31","cited_by_count":0,"area":null},{"id":"2604.15377","title":"M3R: Localized Rainfall Nowcasting with Meteorology-Informed MultiModal Attention","created":"2026-04-15","cited_by_count":0,"area":null},{"id":"2605.23478","title":"PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction","created":"2026-05-22","cited_by_count":0,"area":null}],"next_cursor":null}