Predicting nodal influence via local iterative metrics

Mitigating Mainstream Bias in Recommendation via Cost-sensitive Learning

Weakly-supervised Learning for Fine-grained Emotion Recognition using Physiological Signals

Subjective QoE Evaluation of User-Centered Adaptive Streaming of Dynamic Point Clouds

Joint Feature Synthesis and Embedding: Adversarial Cross-Modal Retrieval Revisited

Guest Editorial Learning From Noisy Multimedia Data

Task-Aware Connectivity Learning for Incoming Nodes Over Growing Graphs

Temporal Network Prediction and Interpretation

Few-shot Learning for Fine-grained Emotion Recognition using Physiological Signals

A rational hybrid RANS-LES model for CFD predictions of microclimate and environmental quality in real urban structures

Influence of clustering coefficient on network embedding in link prediction

Accuracy-diversity trade-off in recommender systems via graph convolutions

Reassessment of modeling turbulence via Reynolds averaging: A review of second-moment transport strategy

How do Metric Score Distributions affect the Type i Error Rate of Statistical Significance Tests in Information Retrieval?

Generating Images from Spoken Descriptions

Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users

New Insights into Metric Optimization for Ranking-based Recommendation

Towards user-oriented privacy for recommender system data: A personalization-based approach to gender obfuscation for user profiles

Unified Binary Generative Adversarial Network for Image Retrieval and Compression

S2IGAN: Speech-to-Image Generation via Adversarial Learning