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Found 6 papers, 0 papers with code
AGSPNet: A framework for parcel-scale crop fine-grained semantic change detection from UAV high-resolution imagery with agricultural geographic scene constraints
Real-time and accurate information on fine-grained changes in crop cultivation is of great significance for crop growth monitoring, yield prediction and agricultural structure adjustment.
Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning
In real world applications like healthcare, it is usually difficult to build a machine learning prediction model that works universally well across different institutions.
Unlocking the Power of Deep PICO Extraction: Step-wise Medical NER Identification
The major task of PICO extraction is to extract sentences from medical literature and classify them into each class.
Automatic Business Process Structure Discovery using Ordered Neurons LSTM: A Preliminary Study
Automatic process discovery from textual process documentations is highly desirable to reduce time and cost of Business Process Management (BPM) implementation in organizations.
Towards End-to-End Learning for Efficient Dialogue Agent by Modeling Looking-ahead Ability
Learning an efficient manager of dialogue agent from data with little manual intervention is important, especially for goal-oriented dialogues.
Outcome-Driven Clustering of Acute Coronary Syndrome Patients using Multi-Task Neural Network with Attention
The results demonstrate cluster analysis using outcome-driven multi-task neural network as promising for patient classification and subtyping.
