Cover Image

Emergency Response Inference Mapping (ERIMap): A Bayesian network-based method for dynamic observation processing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Schneider, Moritz, Halekotte, Lukas, Comes, Tina, Lichte, Daniel, Fiedrich, Frank
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Method for Rapid Area Prioritisation in Flood Disaster Response
by: Schneider, Moritz, et al.
Published: (2025)

Dependent Infrastructure Service Disruption Mapping (DISruptionMap): A Method to Assess Cascading Service Disruptions in Disaster Scenarios
by: Schneider, Moritz, et al.
Published: (2024)

A resilience glossary shaped by context: Reviewing resilience-related terms for critical infrastructures
by: Mentges, Andrea, et al.
Published: (2023)

Do we practice what we preach? The dissonance between resilience understanding and measurement
by: Halekotte, Lukas, et al.
Published: (2024)

Identifying and Upweighting Power-Niche Users to Mitigate Popularity Bias in Recommendations
by: Liu, David, et al.
Published: (2025)

Decoding in Latent Spaces for Efficient Inference in LLM-based Recommendation
by: Wang, Chengbing, et al.
Published: (2025)

High-Resolution Mapping of Port Dynamics from Open-Access AIS Data in Tokyo Bay
by: Hütten, Moritz
Published: (2026)

e-Fold Cross-Validation for Recommender-System Evaluation
by: Baumgart, Moritz, et al.
Published: (2024)

EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens
by: Yang, Chaoqun, et al.
Published: (2025)

Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding
by: Xi, Yunjia, et al.
Published: (2024)

Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation
by: Chen, Ruijun, et al.
Published: (2026)

A Survey on Causal Inference for Recommendation
by: Luo, Huishi, et al.
Published: (2023)

The LLM Effect on IR Benchmarks: A Meta-Analysis of Effectiveness, Baselines, and Contamination
by: Staudinger, Moritz, et al.
Published: (2026)

Lightning IR: Straightforward Fine-tuning and Inference of Transformer-based Language Models for Information Retrieval
by: Schlatt, Ferdinand, et al.
Published: (2024)

Emergency Communication: OTFS-Based Semantic Transmission with Diffusion Noise Suppression
by: Zhang, Kexin, et al.
Published: (2025)

Variational Bayesian Personalized Ranking
by: Liu, Bin, et al.
Published: (2025)

ColBERT-serve: Efficient Multi-Stage Memory-Mapped Scoring
by: Huang, Kaili, et al.
Published: (2025)

Context-augmented Retrieval: A Novel Framework for Fast Information Retrieval based Response Generation using Large Language Model
by: Ganesh, Sai, et al.
Published: (2024)

Reproducible Hybrid Time-Travel Retrieval in Evolving Corpora
by: Staudinger, Moritz, et al.
Published: (2024)

A Reproducibility and Generalizability Study of Large Language Models for Query Generation
by: Staudinger, Moritz, et al.
Published: (2024)

Quantized Inference for OneRec-V2
by: Su, Yi, et al.
Published: (2026)

Bayesian inference to improve quality of Retrieval Augmented Generation
by: Rao, Dattaraj
Published: (2024)

FACE: A General Framework for Mapping Collaborative Filtering Embeddings into LLM Tokens
by: Wang, Chao, et al.
Published: (2025)

VM-Rec: A Variational Mapping Approach for Cold-start User Recommendation
by: Zheng, Linan, et al.
Published: (2023)

Prompt Tuning as User Inherent Profile Inference Machine
by: Lu, Yusheng, et al.
Published: (2024)

Effective Inference-Free Retrieval for Learned Sparse Representations
by: Nardini, Franco Maria, et al.
Published: (2025)

Trust Me on This: A User Study of Trustworthiness for RAG Responses
by: Łajewska, Weronika, et al.
Published: (2026)

A multi-theoretical kernel-based approach to social network-based recommendation
by: Li, Xin, et al.
Published: (2024)

Efficient Inference for Large Language Model-based Generative Recommendation
by: Lin, Xinyu, et al.
Published: (2024)

Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation
by: Long, Jing, et al.
Published: (2024)

Recommender Systems Algorithm Selection for Ranking Prediction on Implicit Feedback Datasets
by: Wegmeth, Lukas, et al.
Published: (2024)

Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems
by: Wegmeth, Lukas, et al.
Published: (2024)

A Survey of Multimodal Information Fusion for Smart Healthcare: Mapping the Journey from Data to Wisdom
by: Shaik, Thanveer, et al.
Published: (2023)

Membership Inference Attack against Large Language Model-based Recommendation Systems: A New Distillation-based Paradigm
by: Cuihong, Li, et al.
Published: (2025)

Seed-based information retrieval in networks of research publications: Evaluation of direct citations, bibliographic coupling, co-citations and PubMed related article score
by: Sjögårde, Peter, et al.
Published: (2024)

The system of processing and analysis of customer tracking data for customer journey research on the base of RFID technology
by: Kholod, Marina
Published: (2025)

Unveiling Inference Scaling for Difference-Aware User Modeling in LLM Personalization
by: Chen, Suyu, et al.
Published: (2025)

TRAIL: Joint Inference and Refinement of Knowledge Graphs with Large Language Models
by: Zhao, Xinkui, et al.
Published: (2025)

Proactive Recommendation in Social Networks: Steering User Interest with Causal Inference
by: Pan, Hang, et al.
Published: (2024)

Enhanced Bayesian Personalized Ranking for Robust Hard Negative Sampling in Recommender Systems
by: Shi, Kexin, et al.
Published: (2024)