arXiv Computer Science @arxiv_cs@qoto.org

Parameter Tuning of Time-Frequency Masking Algorithms for Reverberant Artifact Removal within the Cochlear Implant Stimulus. (arXiv:2108.05929v1 [cs.SD]) http://arxiv.org/abs/2108.05929

The academic motherload: Models of parenting engagement and the effect on academic productivity and performance. (arXiv:2108.05376v1 [physics.soc-ph]) http://arxiv.org/abs/2108.05376

On the Relation of Trust and Explainability: Why to Engineer for Trustworthiness. (arXiv:2108.05379v1 [cs.SE]) http://arxiv.org/abs/2108.05379

Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback. (arXiv:2108.05382v1 [cs.LG]) http://arxiv.org/abs/2108.05382

Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems. (arXiv:2108.05385v1 [cs.LG]) http://arxiv.org/abs/2108.05385

The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification. (arXiv:2108.05386v1 [cs.CV]) http://arxiv.org/abs/2108.05386

Voxel-level Importance Maps for Interpretable Brain Age Estimation. (arXiv:2108.05388v1 [cs.CV]) http://arxiv.org/abs/2108.05388

Seven challenges for harmonizing explainability requirements. (arXiv:2108.05390v1 [cs.LG]) http://arxiv.org/abs/2108.05390

Ontology drift is a challenge for explainable data governance. (arXiv:2108.05401v1 [cs.CY]) http://arxiv.org/abs/2108.05401

Composition Machines: Programming Self-Organising Software Models for the Emergence of Sequential Program Spaces. (arXiv:2108.05402v1 [cs.FL]) http://arxiv.org/abs/2108.05402

User-friendly Comparison of Similarity Algorithms on Wikidata. (arXiv:2108.05410v1 [cs.AI]) http://arxiv.org/abs/2108.05410

Quantifying power use in silicon photonic neural networks. (arXiv:2108.04819v1 [physics.optics]) http://arxiv.org/abs/2108.04819

MuCoMiD: A Multitask Convolutional Learning Framework for miRNA-Disease Association Prediction. (arXiv:2108.04820v1 [q-bio.QM]) http://arxiv.org/abs/2108.04820

Self-supervised Consensus Representation Learning for Attributed Graph. (arXiv:2108.04822v1 [cs.SI]) http://arxiv.org/abs/2108.04822

Practical Challenges in Real-time Demand Response. (arXiv:2108.04836v1 [eess.SY]) http://arxiv.org/abs/2108.04836

Post-hoc Interpretability for Neural NLP: A Survey. (arXiv:2108.04840v1 [cs.CL]) http://arxiv.org/abs/2108.04840

Optimal learning of quantum Hamiltonians from high-temperature Gibbs states. (arXiv:2108.04842v1 [quant-ph]) http://arxiv.org/abs/2108.04842

Attention-like feature explanation for tabular data. (arXiv:2108.04855v1 [cs.LG]) http://arxiv.org/abs/2108.04855

An experimental study of two predictive reinforcement learning methods and comparison with model-predictive control. (arXiv:2108.04857v1 [cs.RO]) http://arxiv.org/abs/2108.04857

Matching Algorithms for Blood Donation. (arXiv:2108.04862v1 [cs.AI]) http://arxiv.org/abs/2108.04862