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From the 1 of 1.8k papers with an AI index.

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20022026
most citedUnderstanding individual human mobility patterns

6.1k citations

Showing 2025 · cs.LGShow all

13 papers · 2 filters

cs.LG2025

Learning Multimodal Embeddings for Traffic Accident Prediction and Causal Estimation

Ziniu Zhang, Minxuan Duan, Haris N. Koutsopoulos +1

We consider analyzing traffic accident patterns using both road network data and satellite images aligned to road graph nodes. Previous work for predicting accident occurrences rel…

cs.LG2025

Efficiently Learning Branching Networks for Multitask Algorithmic Reasoning

Dongyue Li, Zhenshuo Zhang, Minxuan Duan +2

Algorithmic reasoning -- the ability to perform step-by-step logical inference -- is a synthetic benchmark for evaluating multi-step reasoning abilities, designed for graph neural…

cs.LG20251 cited

On the Role of Calibration in Benchmarking Algorithmic Fairness for Skin Cancer Detection

Brandon Dominique, Prudence Lam, Nicholas Kurtansky +4

Artificial Intelligence (AI) models have demonstrated expert-level performance in melanoma detection, yet their clinical adoption is hindered by performance disparities across demo…

cs.LG2025

Integrating Attention-Enhanced LSTM and Particle Swarm Optimization for Dynamic Pricing and Replenishment Strategies in Fresh Food Supermarkets

Xianchen Liu, Tianhui Zhang, Xinyu Zhang +4

This paper presents a novel approach to optimizing pricing and replenishment strategies in fresh food supermarkets by combining Long Short-Term Memory (LSTM) networks with Particle…

cs.LG2025

Some patterns of sleep quality and Daylight Saving Time across countries: a predictive and exploratory analysis

Bhanu Sharma, Eugene Pinsky

In this study we analyzed average sleep durations across 61 countries to examine the impact of Daylight Saving Time (DST) practices. Key metrics influencing sleep were identified,…

cs.LG20251 cited

Energy-Efficient Stochastic Computing (SC) Neural Networks for Internet of Things Devices With Layer-Wise Adjustable Sequence Length (ASL)

Ziheng Wang, Pedro Reviriego, Farzad Niknia +4

Stochastic computing (SC) has emerged as an efficient low-power alternative for deploying neural networks (NNs) in resource-limited scenarios, such as the Internet of Things (IoT).…