Summary of Improving Personalisation in Valence and Arousal Prediction Using Data Augmentation, by Munachiso Nwadike et al.
Improving Personalisation in Valence and Arousal Prediction using Data Augmentationby Munachiso Nwadike, Jialin Li, Hanan…
Summary of An Evaluation Framework For Synthetic Data Generation Models, by Ioannis E. Livieris et al.
An evaluation framework for synthetic data generation modelsby Ioannis E. Livieris, Nikos Alimpertis, George Domalis,…
Summary of Single-image Driven 3d Viewpoint Training Data Augmentation For Effective Wine Label Recognition, by Yueh-cheng Huang et al.
Single-image driven 3d viewpoint training data augmentation for effective wine label recognitionby Yueh-Cheng Huang, Hsin-Yi…
Summary of Generating Synthetic Time Series Data For Cyber-physical Systems, by Alexander Sommers and Somayeh Bakhtiari Ramezani and Logan Cummins and Sudip Mittal and Shahram Rahimi and Maria Seale and Joseph Jaboure
Generating Synthetic Time Series Data for Cyber-Physical Systemsby Alexander Sommers, Somayeh Bakhtiari Ramezani, Logan Cummins,…
Summary of Graph Data Augmentation with Gromow-wasserstein Barycenters, by Andrea Ponti
Graph data augmentation with Gromow-Wasserstein Barycentersby Andrea PontiFirst submitted to arxiv on: 12 Apr 2024CategoriesMain:…
Summary of Annoctr: a Dataset For Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports, by Lukas Lange et al.
AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reportsby…
Summary of Gansemble For Small and Imbalanced Data Sets: a Baseline For Synthetic Microplastics Data, by Daniel Platnick et al.
GANsemble for Small and Imbalanced Data Sets: A Baseline for Synthetic Microplastics Databy Daniel Platnick,…
Summary of Latim: Longitudinal Representation Learning in Continuous-time Models to Predict Disease Progression, by Rachid Zeghlache et al.
LaTiM: Longitudinal representation learning in continuous-time models to predict disease progressionby Rachid Zeghlache, Pierre-Henri Conze,…
Summary of A Robust Assessment For Invariant Representations, by Wenlu Tang et al.
A robust assessment for invariant representationsby Wenlu Tang, Zicheng LiuFirst submitted to arxiv on: 7…
Summary of Rolling the Dice For Better Deep Learning Performance: a Study Of Randomness Techniques in Deep Neural Networks, by Mohammed Ghaith Altarabichi et al.
Rolling the dice for better deep learning performance: A study of randomness techniques in deep…