Cover Image

Network-Based Transfer Learning Helps Improve Short-Term Crime Prediction Accuracy

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Jiahui, Frias-Martinez, Vanessa
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving the Fairness of Deep-Learning, Short-term Crime Prediction with Under-reporting-aware Models
by: Wu, Jiahui, et al.
Published: (2024)

Deep Learning Based Crime Prediction Models: Experiments and Analysis
by: Utsha, Rittik Basak, et al.
Published: (2024)

An Event-centric Framework for Predicting Crime Hotspots with Flexible Time Intervals
by: Jin, Jiahui, et al.
Published: (2024)

Auditing the Fairness of the US COVID-19 Forecast Hub's Case Prediction Models
by: Abrar, Saad Mohammad, et al.
Published: (2024)

DemOpts: Fairness corrections in COVID-19 case prediction models
by: Awasthi, Naman, et al.
Published: (2024)

Machine Learning for Public Good: Predicting Urban Crime Patterns to Enhance Community Safety
by: Gupta, Sia, et al.
Published: (2024)

Predicting Long-Term Student Outcomes from Short-Term EdTech Log Data
by: Gao, Ge, et al.
Published: (2024)

Enhancing Binary Encoded Crime Linkage Analysis Using Siamese Network
by: Zhan, Yicheng, et al.
Published: (2025)

Improvement of Applicability in Student Performance Prediction Based on Transfer Learning
by: Zhao, Yan
Published: (2024)

AI-Augmented Predictions: LLM Assistants Improve Human Forecasting Accuracy
by: Schoenegger, Philipp, et al.
Published: (2024)

WatchAnxiety: A Transfer Learning Approach for State Anxiety Prediction from Smartwatch Data
by: Ahmed, Md Sabbir, et al.
Published: (2025)

Risk Analysis in Customer Relationship Management via Quantile Region Convolutional Neural Network-Long Short-Term Memory and Cross-Attention Mechanism
by: Huang, Yaowen, et al.
Published: (2024)

Long-Term Fair Decision Making through Deep Generative Models
by: Hu, Yaowei, et al.
Published: (2024)

Advancing Crime Linkage Analysis with Machine Learning: A Comprehensive Review and Framework for Data-Driven Approaches
by: Lima, Vinicius, et al.
Published: (2024)

A Question-centric Multi-experts Contrastive Learning Framework for Improving the Accuracy and Interpretability of Deep Sequential Knowledge Tracing Models
by: Zhang, Hengyuan, et al.
Published: (2024)

Alternative Fairness and Accuracy Optimization in Criminal Justice
by: Wu, Shaolong, et al.
Published: (2025)

Transferring Fairness using Multi-Task Learning with Limited Demographic Information
by: Aguirre, Carlos, et al.
Published: (2023)

FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning
by: Roy, Arjun, et al.
Published: (2023)

A Comparative Simulation Study of the Fairness and Accuracy of Predictive Policing Systems in Baltimore City
by: Semsar, Samin, et al.
Published: (2026)

Closing the Gap in the Trade-off between Fair Representations and Accuracy
by: Rout, Biswajit, et al.
Published: (2024)

When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models
by: Zheng, Mingqian, et al.
Published: (2023)

Transfer Learning and Machine Learning for Training Five Year Survival Prognostic Models in Early Breast Cancer
by: Pilgram, Lisa, et al.
Published: (2025)

Prompt Transfer for Dual-Aspect Cross Domain Cognitive Diagnosis
by: Liu, Fei, et al.
Published: (2024)

Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks
by: He, Erhu, et al.
Published: (2024)

Data Acquisition for Improving Model Fairness using Reinforcement Learning
by: Hasan, Jahid, et al.
Published: (2024)

Assessing Predictive Models for Fairness Based on Movement Patterns
by: Lettich, Francesco, et al.
Published: (2026)

Balancing Fairness and Accuracy in Data-Restricted Binary Classification
by: Lazri, Zachary McBride, et al.
Published: (2024)

Perturbation Effects on Accuracy and Fairness among Similar Individuals
by: Li, Xuran, et al.
Published: (2024)

Wisdom of the Silicon Crowd: LLM Ensemble Prediction Capabilities Rival Human Crowd Accuracy
by: Schoenegger, Philipp, et al.
Published: (2024)

Unsupervised Clustering Approaches for Autism Screening: Achieving 95.31% Accuracy with a Gaussian Mixture Model
by: Fink, Nora
Published: (2025)

Learning Fair Representations with Kolmogorov-Arnold Networks
by: Priyadarshini, Amisha, et al.
Published: (2025)

Representation Learning of Complex Assemblies, An Effort to Improve Corporate Scope 3 Emissions Calculation
by: Chatterjee, Ajay, et al.
Published: (2024)

Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement
by: Puranik, Bhagyashree, et al.
Published: (2024)

Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You
by: Friedrich, Felix, et al.
Published: (2024)

Predicting and Understanding College Student Mental Health with Interpretable Machine Learning
by: Chowdhury, Meghna Roy, et al.
Published: (2025)

Machine Learning-Driven Student Performance Prediction for Enhancing Tiered Instruction
by: Chen, Yawen, et al.
Published: (2025)

Predictive, scalable and interpretable knowledge tracing on structured domains
by: Zhou, Hanqi, et al.
Published: (2024)

Fairness in LLM-Generated Surveys
by: Abeliuk, Andrés, et al.
Published: (2025)

LearnLM: Improving Gemini for Learning
by: LearnLM Team, et al.
Published: (2024)

Finetuning LLMs for Human Behavior Prediction in Social Science Experiments
by: Kolluri, Akaash, et al.
Published: (2025)