STMGF: An Effective Spatial-Temporal Multi-Granularity Framework for Traffic Forecasting https://arxiv.org/abs/2404.05774 #cs.LG #cs.AI
Forecasting Electric Vehicle Battery Output Voltage: A Predictive Modeling Approach https://arxiv.org/abs/2404.05776 #eess.SY #cs.CV #cs.AI #cs.SY
IA2: Leveraging Instance-Aware Index Advisor with Reinforcement Learning for Diverse Workloads https://arxiv.org/abs/2404.05777 #cs.DB #cs.AI
Variability-Aware Approximate Circuit Synthesis via Genetic Optimization https://arxiv.org/abs/2404.04258 #cs.AR #cs.NE
Synthetic 33-Bus Microgrid: Dynamic Model and Time-Series Parameters https://arxiv.org/abs/2404.04260 #eess.SY #cs.SY
A Novel BERT-based Classifier to Detect Political Leaning of YouTube Videos based on their Titles https://arxiv.org/abs/2404.04261 #cs.CL #cs.AI
The Future of MEV https://arxiv.org/abs/2404.04262 #cs.CR #cs.GT
Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs https://arxiv.org/abs/2404.04264 #cs.IR #cs.AI
Accelerating Matrix Factorization by Dynamic Pruning for Fast Recommendation https://arxiv.org/abs/2404.04265 #cs.IR #cs.LG
What AIs are not Learning (and Why) https://arxiv.org/abs/2404.04267 #cs.AI #cs.HC
The Use of Generative Search Engines for Knowledge Work and Complex Tasks https://arxiv.org/abs/2404.04268 #cs.IR #cs.AI #cs.CY #cs.SI
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists https://arxiv.org/abs/2404.04269 #cs.IR #cs.LG #cs.SI
Accelerating Recommender Model Training by Dynamically Skipping Stale Embeddings https://arxiv.org/abs/2404.04270 #cs.IR #cs.LG
Federated Unlearning for Human Activity Recognition https://arxiv.org/abs/2404.03659 #cs.LG #cs.CR
Machine Learning in Proton Exchange Membrane Water Electrolysis -- Part I: A Knowledge-Integrated Framework https://arxiv.org/abs/2404.03660 #cs.LG #cs.CE
Benchmarking formalisms for dynamic structure system Modeling and Simulation https://arxiv.org/abs/2404.03661 #cs.SE #cs.CE
X-lifecycle Learning for Cloud Incident Management using LLMs https://arxiv.org/abs/2404.03662 #cs.NI #cs.AI
Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips https://arxiv.org/abs/2404.03663 #cs.NE #cs.CV
LLMs in the Heart of Differential Testing: A Case Study on a Medical Rule Engine https://arxiv.org/abs/2404.03664 #cs.SE #cs.AI
Serial Parallel Reliability Redundancy Allocation Optimization for Energy Efficient and Fault Tolerant Cloud Computing https://arxiv.org/abs/2404.03665 #cs.DC #cs.AI
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