cikm 2021 论文列表
Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), Gold Coast, Queensland, Australia, November 1-5, 2021.
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An Intelligent Mediation Platform for Smart Contracts in Blockchain.
The Use of the Twitter Graphs for Analysing User Emotion for Business.
A graph neural network for fuzzy Twitter graphs.
LeQua @ CLEF 2022: A Shared Task for Evaluating Quantification Systems.
QuaPy: A Publicly Available Python-Based Software Library for Quantification.
Histogram-based Deep Neural Network for Quantification.
Pitfalls in Quantification Assessment.
Minimising Quantifier Variance under Prior Probability Shift.
A Closer Look at Evaluation Measures for Ordinal Quantification.
An Improved Method of Automated Nonparametric Content Analysis for Social Science.
Mixture Proportion Estimation in Weakly Supervised Learning.
A Privacy-aware Computation Offloading Method for Virtual Reality Application.
Explainable and Personalized Privacy Prediction.
Interpretable and Robust Face Verification.
A Privacy Framework for Hierarchical Federated Learning.
Measuring Software Security Using Improved CWE Base Score.
Machine Learning Methods for Detecting Fraud in Online Marketplaces.
SURF based Security of Remote Sensing Images by Encrypted Watermark.
Multi-scale Agent-based Models in Immunology. A Short Review.
An Entropy Heuristic to Optimize Decision Diagrams for Index-driven Search in Biological Graph Databases.
Powering COVID-19 Community Q&A with Curated Side Information.
Commonsense Reasoning: How do Neuro-Symbolic and Neuro-only Approaches Compare?
Syntactic Knowledge-Infused Transformer and BERT Models.
Knowledge Injection via ML-based Initialization of Neural Networks.
Spatiotemporal Swin-Transformer Network for Short Time Weather Forecasting.
Efficient Spatio-temporal Weather Forecasting Using U-Net.
A Variational U-Net for Weather Forecasting.
Utilizing UNet for the Future Weather Prediction: Weather4cast 2021.
Spatiotemporal Weather Data Predictions with Shortcut Recurrent-Convolutional Networks: A Solution for the Weather4cast Challenge.
End-to-End CNN-CRFs for Multi-date Crop Classification Using Multitemporal Remote Sensing Image Sequences.
Change Detection for Hyperspectral Imagery Based on Multi-layer Cascade Screening Strategy.
FORCE on Nextflow: Scalable Analysis of Earth Observation Data on Commodity Clusters.
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning.
Machine Learning Model Development for Space Weather Forecasting in the Ionosphere.
Point-Based Weakly Supervised Deep Learning for Water Extraction from High-Resolution Remote Sensing Imagery.
Hyperspectral Denoising: From Conventional Techniques Towards Deep Learning Ones.
Graph Neural Sparsification for Hyperspectral Image Classification with Local and Global Consistency.
On the Exploitation of Heterophily in Graph-Based Multimodal Remote Sensing Data Analysis.
Uncertainty-Aware Graph-Based Multimodal Remote Sensing Detection of Out-Of-Distribution Samples.
Region-Growing Fully Convolutional Networks for Hyperspectral Image Classification with Point-Level Supervision.
Towards Geographical Aware Neural Networks for Geospatial Vector Data: A Case Study on Land Use and Land Cover Classification.
Hyperspectral Anomaly Detection based on Low-rank Structure Exploration.
Towards Very-Low Latency Storm Nowcasting through AI-Based On-Board Satellite Data Processing.
Knowledge Driven Approach to Auto-Generate Digital Twins for Industrial Plants.
PROVENANCE: An Intermediary-Free Solution for Digital Content Verification.
ADOR: A New Medical Dataset for Sentiment-based IR.
L1 and L2 Regularized Deep Residual Network Model for Automated Detection of Myocardial Infarction (Heart Attack) Using Electrocardiogram Signals.
Domain-Specific Modeling of User Knowledge in Informational Search Sessions.
A Review on Recent Advances in Video-based Learning Research: Video Features, Interaction, Tools, and Technologies.
On the Impact of Features and Classifiers for Measuring Knowledge Gain during Web Search - A Case Study.
A Triangulation Perspective for Search as Learning.
Solving Unconverged Learning of Pairs Trading Strategies with Representation Labeling Mechanism.
Interpretable Electronic Transfer Fraud Detection with Expert Feature Constructions.
Convolutional Neural Network-based a Novel Deep Trend Following Strategy for Stock Market Trading.
Black-Box Adversarial Entry in Finance through Credit Card Fraud Detection.
