Image de couverture de livre

Correlating Power Outage Spread with Infrastructure Interdependencies During Hurricanes

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Bose, Avishek, Lee, Sangkeun, Bhusal, Narayan, Chinthavali, Supriya
Format:	Preprint
Publié:	2024
Sujets:	Information Retrieval
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Exploiting Fine-Grained Skip Behaviors for Micro-Video Recommendation
par: Lee, Sanghyuck, et autres
Publié: (2025)

GeoOutageKG: A Multimodal Geospatiotemporal Knowledge Graph for Multiresolution Power Outage Analysis
par: Frakes, Ethan, et autres
Publié: (2025)

Outage Probability Analysis for OTFS with Finite Blocklength
par: Zhang, Xin, et autres
Publié: (2025)

SUNAR: Semantic Uncertainty based Neighborhood Aware Retrieval for Complex QA
par: Venktesh, V, et autres
Publié: (2025)

When More Reformulations Hurt: Avoiding Drift using Ranker Feedback
par: Venktesh, V, et autres
Publié: (2026)

RankingSHAP -- Listwise Feature Attribution Explanations for Ranking Models
par: Heuss, Maria, et autres
Publié: (2024)

Quam: Adaptive Retrieval through Query Affinity Modelling
par: Rathee, Mandeep, et autres
Publié: (2024)

Is Interpretable Machine Learning Effective at Feature Selection for Neural Learning-to-Rank?
par: Lyu, Lijun, et autres
Publié: (2024)

Breaking the Lens of the Telescope: Online Relevance Estimation over Large Retrieval Sets
par: Rathee, Mandeep, et autres
Publié: (2025)

Reproducing Adaptive Reranking for Reasoning-Intensive IR
par: Rathee, Mandeep, et autres
Publié: (2026)

Public Health in Disaster: Emotional Health and Life Incidents Extraction during Hurricane Harvey
par: Hoang, Thomas, et autres
Publié: (2024)

Ahead of the Spread: Agent-Driven Virtual Propagation for Early Fake News Detection
par: Gu, Bincheng, et autres
Publié: (2026)

On Listwise Reranking for Corpus Feedback
par: Yoon, Soyoung, et autres
Publié: (2025)

DEXTER: A Benchmark for open-domain Complex Question Answering using LLMs
par: Prabhu, Venktesh V. Deepali, et autres
Publié: (2024)

A Benchmark for Open-Domain Numerical Fact-Checking Enhanced by Claim Decomposition
par: Venktesh, V, et autres
Publié: (2025)

Optimizing Nepali PDF Extraction: A Comparative Study of Parser and OCR Technologies
par: Paudel, Prabin, et autres
Publié: (2024)

FlashCheck: Exploration of Efficient Evidence Retrieval for Fast Fact-Checking
par: Nanekhan, Kevin, et autres
Publié: (2025)

CALMem : Application-Layer Dual Memory for Conversational AI
par: Jena, Rajendra Narayan, et autres
Publié: (2026)

Monitoring Critical Infrastructure Facilities During Disasters Using Large Language Models
par: Ziaullah, Abdul Wahab, et autres
Publié: (2024)

Guiding Retrieval using LLM-based Listwise Rankers
par: Rathee, Mandeep, et autres
Publié: (2025)

ir_explain: a Python Library of Explainable IR Methods
par: Saha, Sourav, et autres
Publié: (2024)

The Surprising Effectiveness of Rankers Trained on Expanded Queries
par: Anand, Abhijit, et autres
Publié: (2024)

Understanding the User: An Intent-Based Ranking Dataset
par: Anand, Abhijit, et autres
Publié: (2024)

Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly Detection
par: Wang, Yuanyi, et autres
Publié: (2024)

Graph Cross-Correlated Network for Recommendation
par: Chen, Hao, et autres
Publié: (2024)

It's High Time: A Survey of Temporal Question Answering
par: Piryani, Bhawna, et autres
Publié: (2025)

TempRetriever: Fusion-based Temporal Dense Passage Retrieval for Time-Sensitive Questions
par: Abdallah, Abdelrahman, et autres
Publié: (2025)

Mitigating Spurious Correlations for Self-supervised Recommendation
par: Lin, Xinyu, et autres
Publié: (2022)

High Resolution Spatio-Temporal Model for Room-Level Airborne Pandemic Spread
par: Lazebnik, Teddy, et autres
Publié: (2022)

Lightweight Modality Adaptation to Sequential Recommendation via Correlation Supervision
par: Hu, Hengchang, et autres
Publié: (2024)

Beyond Correlations: A Downstream Evaluation Framework for Query Performance Prediction
par: Santra, Payel, et autres
Publié: (2026)

RE-SORT: Removing Spurious Correlation in Multilevel Interaction for CTR Prediction
par: Wu, Song-Li, et autres
Publié: (2023)

Influence of Parallelism in Vector-Multiplication Units on Correlation Power Analysis
par: Brosch, Manuel, et autres
Publié: (2026)

How Powerful is Graph Filtering for Recommendation
par: Peng, Shaowen, et autres
Publié: (2024)

AI Prior Art Search: Semantic Clusters and Evaluation Infrastructure
par: Genin, Boris, et autres
Publié: (2025)

On Correlating Factors for Domain Adaptation Performance
par: Yuksel, Goksenin, et autres
Publié: (2025)

Unleashing the Power of Large Language Model for Denoising Recommendation
par: Wang, Shuyao, et autres
Publié: (2025)

Information Retrieval and Classification of Real-Time Multi-Source Hurricane Evacuation Notices
par: Zhao, Tingting, et autres
Publié: (2024)

LLM-Powered Nuanced Video Attribute Annotation for Enhanced Recommendations
par: Long, Boyuan, et autres
Publié: (2025)

Identifying and Upweighting Power-Niche Users to Mitigate Popularity Bias in Recommendations
par: Liu, David, et autres
Publié: (2025)