Loss Compensation in Multi-Session Recommendation Under Limited Item Availability

LTM: Scalable and Black-Box Similarity-Based Test Suite Minimization Based on Language Models

MapsTP: HD Map Images Based Multimodal Trajectory Prediction for Automated Vehicles

MATURE: Multistage Throughput Prediction for Adaptive Video Streaming in Cellular Networks

Meta-Modelling Kindness

Nearest-neighbor, BERT-based, scalable clone detection: A practical approach for large-scale industrial code bases

Abstract Hidden code clones negatively impact software maintenance, but manually detecting them in large codebases is impractical. Additionally, automated approaches find detection of syntactically-divergent clones very challenging. While recent deep neural networks (for example BERT-based artificial neural networks) seem more effective in detecting such clones, their pairwise comparison of every code pair in the target...

KeepOriginalAugment: Single Image-Based Better Information-Preserving Data Augmentation Approach

A

The Key Points: Using Feature Importance to Identify Shortcomings in Sign Language Recognition Models

Learning and teaching biological data science in the Bioconductor community

Learning Failure-Inducing Models for Testing Software-Defined Networks