arXiv Computer Science @arxiv_cs@qoto.org

A portable widefield fundus camera with high dynamic range imaging capability. (arXiv:2212.13257v1 [physics.med-ph]) http://arxiv.org/abs/2212.13257

Intelligent Feature Extraction, Data Fusion and Detection of Concrete Bridge Cracks: Current Development and Challenges. (arXiv:2212.13258v1 [cs.LG]) http://arxiv.org/abs/2212.13258

Modeling Time-Series and Spatial Data for Recommendations and Other Applications. (arXiv:2212.13259v1 [cs.IR]) http://arxiv.org/abs/2212.13259

Novel Reinforcement Learning Algorithm for Suppressing Synchronization in Closed Loop Deep Brain Stimulators. (arXiv:2212.13260v1 [cs.LG]) http://arxiv.org/abs/2212.13260

Explainable AI for Bioinformatics: Methods, Tools, and Applications. (arXiv:2212.13261v1 [q-bio.QM]) http://arxiv.org/abs/2212.13261

PMODE: Prototypical Mask based Object Dimension Estimation. (arXiv:2212.13281v1 [cs.CV]) http://arxiv.org/abs/2212.13281

On Ranges and Partitions in Optimal TCAMs. (arXiv:2212.13283v1 [cs.NI]) http://arxiv.org/abs/2212.13283

On the Level Sets and Invariance of Neural Tuning Landscapes. (arXiv:2212.13285v1 [q-bio.NC]) http://arxiv.org/abs/2212.13285

Artificial Intelligence to Enhance Mission Science Output for In-situ Observations: Dealing with the Sparse Data Challenge. (arXiv:2212.13289v1 [astro-ph.IM]) http://arxiv.org/abs/2212.13289

Structure-based drug discovery with deep learning. (arXiv:2212.13295v1 [q-bio.BM]) http://arxiv.org/abs/2212.13295

Juno: a Python-based graphical package for optical system design. (arXiv:2212.12540v1 [physics.ins-det]) http://arxiv.org/abs/2212.12540

Neural Networks beyond explainability: Selective inference for sequence motifs. (arXiv:2212.12542v1 [q-bio.GN]) http://arxiv.org/abs/2212.12542

FdeSolver: A Julia Package for Solving Fractional Differential Equations. (arXiv:2212.12550v1 [math.NA]) http://arxiv.org/abs/2212.12550

A Close Look at Spatial Modeling: From Attention to Convolution. (arXiv:2212.12552v1 [cs.CV]) http://arxiv.org/abs/2212.12552

Dynamic Circular Formation Of Multi-Agent Systems With Obstacle Avoidance And Size Scaling:A Flocking Approach. (arXiv:2212.12554v1 [eess.SY]) http://arxiv.org/abs/2212.12554

On How AI Needs to Change to Advance the Science of Drug Discovery. (arXiv:2212.12560v1 [cs.AI]) http://arxiv.org/abs/2212.12560

A learning-based approach to multi-agent decision-making. (arXiv:2212.12561v1 [eess.SY]) http://arxiv.org/abs/2212.12561

Adapting to game trees in zero-sum imperfect information games. (arXiv:2212.12567v1 [stat.ML]) http://arxiv.org/abs/2212.12567

Pearl Causal Hierarchy on Image Data: Intricacies & Challenges. (arXiv:2212.12570v1 [cs.AI]) http://arxiv.org/abs/2212.12570

Continual Causal Abstractions. (arXiv:2212.12575v1 [cs.AI]) http://arxiv.org/abs/2212.12575