Cover Image

Rehabilitating Homeless: Dataset and Key Insights

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bykova, Anna, Filippov, Nikolay, Yamshchikov, Ivan P.
Format:	Preprint
Published:	2023
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

Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance
by: Vajiac, Catalina, et al.
Published: (2024)

Enhancing Equitable Access to AI in Housing and Homelessness System of Care through Federated Learning
by: Taib, Musa, et al.
Published: (2024)

Transfer of Structural Knowledge from Synthetic Languages
by: Budnikov, Mikhail, et al.
Published: (2025)

BERT in Plutarch's Shadows
by: Yamshchikov, Ivan P., et al.
Published: (2022)

Machine Learning Techniques with Fairness for Prediction of Completion of Drug and Alcohol Rehabilitation
by: Roberts-Licklider, Karen, et al.
Published: (2024)

Navigating AI Policy Landscapes: Insights into Human Rights Considerations Across IEEE Regions
by: John, Angel Mary, et al.
Published: (2025)

Dataset Representativeness and Downstream Task Fairness
by: Borza, Victor, et al.
Published: (2024)

A Taxonomy of Challenges to Curating Fair Datasets
by: Zhao, Dora, et al.
Published: (2024)

Insights From Insurance for Fair Machine Learning
by: Fröhlich, Christian, et al.
Published: (2023)

Stronger Baseline Models -- A Key Requirement for Aligning Machine Learning Research with Clinical Utility
by: Wolfrath, Nathan, et al.
Published: (2024)

A Water Efficiency Dataset for African Data Centers
by: Shumba, Noah, et al.
Published: (2024)

Position: Measure Dataset Diversity, Don't Just Claim It
by: Zhao, Dora, et al.
Published: (2024)

Fair for a few: Improving Fairness in Doubly Imbalanced Datasets
by: Yalcin, Ata, et al.
Published: (2025)

Counterfactual Fairness Evaluation of Machine Learning Models on Educational Datasets
by: Kim, Woojin, et al.
Published: (2025)

FairHome: A Fair Housing and Fair Lending Dataset
by: Bagalkotkar, Anusha, et al.
Published: (2024)

Sustainable Visions: Unsupervised Machine Learning Insights on Global Development Goals
by: García-Rodríguez, Alberto, et al.
Published: (2024)

A Primer on Causal and Statistical Dataset Biases for Fair and Robust Image Analysis
by: Jones, Charles, et al.
Published: (2025)

Hitchhiking Rides Dataset: Two decades of crowd-sourced records on stochastic traveling
by: Wenke, Till
Published: (2025)

Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark
by: Qian, Xiaowei, et al.
Published: (2024)

Adaptive Recruitment Resource Allocation to Improve Cohort Representativeness in Participatory Biomedical Datasets
by: Borza, Victor, et al.
Published: (2024)

Datasets for Fairness in Language Models: An In-Depth Survey
by: Zhang, Jiale, et al.
Published: (2025)

Automated Assignment Grading with Large Language Models: Insights From a Bioinformatics Course
by: Poličar, Pavlin G., et al.
Published: (2025)

Deep Contrastive Learning for Feature Alignment: Insights from Housing-Household Relationship Inference
by: Qian, Xiao, et al.
Published: (2025)

Evaluating the Fairness of the MIMIC-IV Dataset and a Baseline Algorithm: Application to the ICU Length of Stay Prediction
by: Kakadiaris, Alexandra
Published: (2023)

Dataset Distribution Impacts Model Fairness: Single vs. Multi-Task Learning
by: Raumanns, Ralf, et al.
Published: (2024)

Extracting Actionable Insights from Building Energy Data using Vision LLMs on Wavelet and 3D Recurrence Representations
by: Bechar, Amine, et al.
Published: (2025)

Open Datasets in Learning Analytics: Trends, Challenges, and Best PRACTICE
by: Švábenský, Valdemar, et al.
Published: (2026)

Uncertainty-preserving deep knowledge tracing with state-space models
by: Christie, S. Thomas, et al.
Published: (2024)

FoundationalASSIST: An Educational Dataset for Foundational Knowledge Tracing and Pedagogical Grounding of LLMs
by: Worden, Eamon, et al.
Published: (2026)

Privacy-Preserving Dataset Combination
by: Fuentes, Keren, et al.
Published: (2025)

From Text to Talent: A Pipeline for Extracting Insights from Candidate Profiles
by: Frazzetto, Paolo, et al.
Published: (2025)

Rehabilitation Exercise Quality Assessment through Supervised Contrastive Learning with Hard and Soft Negatives
by: Karlov, Mark, et al.
Published: (2024)

Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning
by: Baucks, Frederik, et al.
Published: (2024)

KPoEM: A Human-Annotated Dataset for Emotion Classification and RAG-Based Poetry Generation in Korean Modern Poetry
by: Lim, Iro, et al.
Published: (2025)

Towards Best Practices for Open Datasets for LLM Training
by: Baack, Stefan, et al.
Published: (2025)

How accurate are existing land cover maps for agriculture in Sub-Saharan Africa?
by: Kerner, Hannah, et al.
Published: (2023)

Smotrom tvoja pa ander drogoj verden! Resurrecting Dead Pidgin with Generative Models: Russenorsk Case Study
by: Tikhonov, Alexey, et al.
Published: (2025)

Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments
by: Zhou, Han, et al.
Published: (2024)

Machine Learning Predicts Upper Secondary Education Dropout as Early as the End of Primary School
by: Psyridou, Maria, et al.
Published: (2024)

VayuBuddy: an LLM-Powered Chatbot to Democratize Air Quality Insights
by: Patel, Zeel B, et al.
Published: (2024)