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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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8 results for “multi-perspective”

Multi-Perspective Neural Architecture for Recommendation Systemcs.IR

Proposes a multi-perspective neural model for better user preference analysis in recommendation systems.

problem Complex user preferences not well captured by existing recommendation models.

method Uses multiple perspectives to encode user and item features, then combines these representations to predict ratings.

result Significant improvements over baseline models in predicting user ratings.

neural architecture recommendation systems user preference multi-perspective attention mechanisms

2018-07-12abs ↗pdf ↗

Search and Rescue with Airborne Optical Sectioningcs.LG

Improved person detection in occluded conditions with AOS images.

problem Inaccurate classification of partially occluded people, animals, or objects.

method Combining multi-perspective images captured by Airborne Optical Sectioning (AOS) to achieve better precision and recall.

result Precision/recall of 96/93% for automated person detection.

person detection occlusion Airborne Optical Sectioning thermal imaging search and rescue

2020-09-18abs ↗pdf ↗

Mixing autoencoder with classifier: conceptual data visualizationcs.LG

A neural network visualizes data structure and concepts.

problem Data visualization and concept understanding.

method Mixing autoencoder and classifier for multi-perspective visualization.

result The network produces different topological maps based on training as autoencoder or classifier.

neural networks data visualization topology autoencoder classifier

2019-12-03abs ↗pdf ↗

Know Your Intent: An Autonomous Multi-Perspective LLM Agent Framework for DeFi User Transaction Intent Miningcs.AI

TIM framework uses LLMs and domain experts to infer DeFi user transaction intents.

problem Challenges in understanding user intent in DeFi transactions due to complex interactions and opaque logs.

method TIM framework leverages a DeFi intent taxonomy, multi-agent LLM system, and a Meta-Level Planner.

result TIM significantly outperforms existing methods in inferring user transaction intents.

DeFi Transaction Intent LLM Meta-Level Planner Domain Experts

2025-11-19abs ↗pdf ↗

A decision support tool for ship biofouling management in the Baltic Seaq-fin.GN

Decision tool helps manage biofouling risks for ships in the Baltic Sea.

problem Biofouling of ships causes environmental and economic issues.

method Bayesian networks to identify biofouling management strategies.

result Optimal biofouling management includes biocidal-free coating and in-water cleaning.

biofouling ship management Baltic Sea Bayesian networks decision support

2021-06-29abs ↗pdf ↗

Graph Neural Networks in Supply Chain Analytics and Optimization: Concepts, Perspectives, Dataset and Benchmarkscs.LG

GNNs improve supply chain analytics with real-world benchmarks.

problem Limited research on applying GNNs to supply chain management.

method Conceptual discussions, detailed formulations, examples, mathematical definitions, and task guidelines.

result GNN-based models outperform other methods by 10-40% in various supply chain tasks.

Graph Neural Networks Supply Chain Management Benchmarking Machine Learning Deep Learning

2024-11-13abs ↗pdf ↗

From Distance to Direction: Structure-aware Label-specific Feature Fusion for Label Distribution Learningcs.LG

Enhances LDL by integrating distance and directional information for more robust label feature representation.

problem Lack of robust label feature representation in LDL tasks, especially with label ambiguity.

method Introduces Structural Anchor Points (SAPs) to capture inter-cluster interactions and a novel LSFs construction strategy, LIFT-SAP.

result Improves LDL performance by 15% on average across 15 real-world datasets.

Label Distribution Learning Label-specific Features Structural Anchor Points Feature Fusion Label Ambiguity

2025-04-27abs ↗pdf ↗

Towards automated feature engineering for credit card fraud detection using multi-perspective HMMscs.LG

A new approach models credit card transactions using HMMs to detect fraud.

problem Detecting credit card fraud using isolated event analysis.

method Model sequences from three perspectives using HMMs and combine likelihoods as features.

result Improved fraud detection effectiveness compared to state-of-the-art methods.

credit card fraud HMMs feature engineering sequence analysis random forest

2019-09-03abs ↗pdf ↗