arXiv Computer Science @arxiv_cs@qoto.org

Counterfactual Explanations for Support Vector Machine Models. (arXiv:2212.07432v1 [cs.LG]) http://arxiv.org/abs/2212.07432

Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related Debunks and Disinformation. (arXiv:2212.07457v1 [cs.CY]) http://arxiv.org/abs/2212.07457

An Exploratory Study of AI System Risk Assessment from the Lens of Data Distribution and Uncertainty. (arXiv:2212.06828v1 [cs.LG]) http://arxiv.org/abs/2212.06828

Classification of Distraction Levels Using Hybrid Deep Neural Networks From EEG Signals. (arXiv:2212.06830v1 [cs.HC]) http://arxiv.org/abs/2212.06830

Multi-Target Decision Making under Conditions of Severe Uncertainty. (arXiv:2212.06832v1 [cs.AI]) http://arxiv.org/abs/2212.06832

3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding. (arXiv:2212.06833v1 [cs.CV]) http://arxiv.org/abs/2212.06833

Deep Neural Networks integrating genomics and histopathological images for predicting stages and survival time-to-event in colon cancer. (arXiv:2212.06834v1 [q-bio.QM]) http://arxiv.org/abs/2212.06834

Simulating 2+1D Lattice Quantum Electrodynamics at Finite Density with Neural Flow Wavefunctions. (arXiv:2212.06835v1 [hep-lat]) http://arxiv.org/abs/2212.06835

Towards Efficient and Domain-Agnostic Evasion Attack with High-dimensional Categorical Inputs. (arXiv:2212.06836v1 [cs.LG]) http://arxiv.org/abs/2212.06836

LidarCLIP or: How I Learned to Talk to Point Clouds. (arXiv:2212.06858v1 [cs.CV]) http://arxiv.org/abs/2212.06858

Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability. (arXiv:2212.06864v1 [cs.LG]) http://arxiv.org/abs/2212.06864

Deep Image Style Transfer from Freeform Text. (arXiv:2212.06868v1 [cs.CV]) http://arxiv.org/abs/2212.06868

Electroencephalography (EEG), electromyography (EMG) and eye-tracking for astronaut training and space exploration. (arXiv:2212.06139v1 [cs.HC]) http://arxiv.org/abs/2212.06139

Fairify: Fairness Verification of Neural Networks. (arXiv:2212.06140v1 [cs.LG]) http://arxiv.org/abs/2212.06140

Dual adaptive training of photonic neural networks. (arXiv:2212.06141v1 [cs.LG]) http://arxiv.org/abs/2212.06141

Towards Better Long-range Time Series Forecasting using Generative Forecasting. (arXiv:2212.06142v1 [cs.LG]) http://arxiv.org/abs/2212.06142

Improving Mutual Information based Feature Selection by Boosting Unique Relevance. (arXiv:2212.06143v1 [cs.LG]) http://arxiv.org/abs/2212.06143

Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural Networks. (arXiv:2212.06144v1 [cs.LG]) http://arxiv.org/abs/2212.06144

AP: Selective Activation for De-sparsifying Pruned Neural Networks. (arXiv:2212.06145v1 [cs.LG]) http://arxiv.org/abs/2212.06145

Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series. (arXiv:2212.06146v1 [cs.LG]) http://arxiv.org/abs/2212.06146