arXiv Computer Science @arxiv_cs@qoto.org

Operator Feature Neural Network for Symbolic Regression https://arxiv.org/abs/2408.07719 #cs.LG #cs.AI

Re-Thinking Process Mining in the AI-Based Agents Era https://arxiv.org/abs/2408.07720 #cs.AI #cs.DB

"Normalized Stress" is Not Normalized: How to Interpret Stress Correctly https://arxiv.org/abs/2408.07724 #cs.LG

Graph neural network surrogate for strategic transport planning https://arxiv.org/abs/2408.07726 #cs.LG #cs.AI

Moderator: Moderating Text-to-Image Diffusion Models through Fine-grained Context-based Policies https://arxiv.org/abs/2408.07728 #cs.CR

DisCoM-KD: Cross-Modal Knowledge Distillation via Disentanglement Representation and Adversarial Learning https://arxiv.org/abs/2408.07080 #cs.LG #cs.AI #cs.CV

MathBridge: A Large Corpus Dataset for Translating Spoken Mathematical Expressions into $LaTeX$ Formulas for Improved Readability https://arxiv.org/abs/2408.07081 #cs.LG #cs.AI #cs.CL

Evaluating Source Code Quality with Large Languagem Models: a comparative study https://arxiv.org/abs/2408.07082 #cs.SE

Masked EEG Modeling for Driving Intention Prediction https://arxiv.org/abs/2408.07083 #cs.LG #cs.AI

Dynamic Hypergraph-Enhanced Prediction of Sequential Medical Visits https://arxiv.org/abs/2408.07084 #cs.LG #cs.AI

A Novel Spatiotemporal Coupling Graph Convolutional Network https://arxiv.org/abs/2408.07087 #cs.LG #cs.AI

Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction https://arxiv.org/abs/2408.07088 #cs.LG #cs.AI

InfinityMATH: A Scalable Instruction Tuning Dataset in Programmatic Mathematical Reasoning https://arxiv.org/abs/2408.07089 #cs.LG #cs.AI

Persistence kernels for classification: A comparative study https://arxiv.org/abs/2408.07090 #math.AT #cs.LG

Node Level Graph Autoencoder: Unified Pretraining for Textual Graph Learning https://arxiv.org/abs/2408.07091 #cs.LG #cs.AI #cs.CL

The Signatures of Ideal Flow Networks https://arxiv.org/abs/2408.06344 #math.RT #cs.DM #cs.SI

Deep Learning based Key Information Extraction from Business Documents: Systematic Literature Review https://arxiv.org/abs/2408.06345 #cs.IR #cs.CL #cs.LG

Closing the Affective Loop via Experience-Driven Reinforcement Learning Designers https://arxiv.org/abs/2408.06346 #cs.HC #cs.AI

Automated Schizophrenia Detection from Handwriting Samples via Transfer Learning Convolutional Neural Networks https://arxiv.org/abs/2408.06347 #cs.CV

Functional near-infrared spectroscopy (fNIRS) and Eye tracking for Cognitive Load classification in a Driving Simulator Using Deep Learning https://arxiv.org/abs/2408.06349 #cs.HC