Quantifying Holistic Review: A Multi-Modal Approach to College Admissions Prediction
Fuente:
arXiv
Guardado en:
| Autores principales: | Zeng, Jun-Wei, Shen, Jerry |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Predicting and Understanding College Student Mental Health with Interpretable Machine Learning
por: Chowdhury, Meghna Roy, et al.
Publicado: (2025)
por: Chowdhury, Meghna Roy, et al.
Publicado: (2025)
Temporal and Between-Group Variability in College Dropout Prediction
por: Glandorf, Dominik, et al.
Publicado: (2024)
por: Glandorf, Dominik, et al.
Publicado: (2024)
Reducing the Filtering Effect in Public School Admissions: A Bias-aware Analysis for Targeted Interventions
por: Faenza, Yuri, et al.
Publicado: (2020)
por: Faenza, Yuri, et al.
Publicado: (2020)
Predicting Student Dropout Risk With A Dual-Modal Abrupt Behavioral Changes Approach
por: Cheng, Jiabei, et al.
Publicado: (2025)
por: Cheng, Jiabei, et al.
Publicado: (2025)
Developing a Novel Holistic, Personalized Dementia Risk Prediction Model via Integration of Machine Learning and Network Systems Biology Approaches
por: Mamidala, Srilekha
Publicado: (2023)
por: Mamidala, Srilekha
Publicado: (2023)
Multi-Modal Framing Analysis of News
por: Arora, Arnav, et al.
Publicado: (2025)
por: Arora, Arnav, et al.
Publicado: (2025)
ViMGuard: A Novel Multi-Modal System for Video Misinformation Guarding
por: Kan, Andrew, et al.
Publicado: (2024)
por: Kan, Andrew, et al.
Publicado: (2024)
Early Prediction of In-Hospital ICU Mortality Using Innovative First-Day Data: A Review
por: Huang, Baozhu, et al.
Publicado: (2025)
por: Huang, Baozhu, et al.
Publicado: (2025)
Quantifying Prediction Consistency Under Fine-Tuning Multiplicity in Tabular LLMs
por: Hamman, Faisal, et al.
Publicado: (2024)
por: Hamman, Faisal, et al.
Publicado: (2024)
Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses
por: Bhadane, Sourbh, et al.
Publicado: (2025)
por: Bhadane, Sourbh, et al.
Publicado: (2025)
Towards An Online Incremental Approach to Predict Students Performance
por: Labba, Chahrazed, et al.
Publicado: (2024)
por: Labba, Chahrazed, et al.
Publicado: (2024)
Holistically Evaluating the Environmental Impact of Creating Language Models
por: Morrison, Jacob, et al.
Publicado: (2025)
por: Morrison, Jacob, et al.
Publicado: (2025)
Learning Progression-Guided AI Evaluation of Scientific Models To Support Diverse Multi-Modal Understanding in NGSS Classroom
por: Kaldaras, Leonora, et al.
Publicado: (2025)
por: Kaldaras, Leonora, et al.
Publicado: (2025)
WatchAnxiety: A Transfer Learning Approach for State Anxiety Prediction from Smartwatch Data
por: Ahmed, Md Sabbir, et al.
Publicado: (2025)
por: Ahmed, Md Sabbir, et al.
Publicado: (2025)
Enhancing Multi-Attribute Fairness in Healthcare Predictive Modeling
por: Wang, Xiaoyang, et al.
Publicado: (2025)
por: Wang, Xiaoyang, et al.
Publicado: (2025)
Long-term Fairness For Real-time Decision Making: A Constrained Online Optimization Approach
por: Du, Ruijie, et al.
Publicado: (2024)
por: Du, Ruijie, et al.
Publicado: (2024)
Integrating HCI Datasets in Project-Based Machine Learning Courses: A College-Level Review and Case Study
por: Qu, Xiaodong, et al.
Publicado: (2024)
por: Qu, Xiaodong, et al.
Publicado: (2024)
A Comparative Analysis of Wealth Index Predictions in Africa between three Multi-Source Inference Models
por: Karsai, Márton, et al.
Publicado: (2024)
por: Karsai, Márton, et al.
Publicado: (2024)
Machine Learning Algorithms for Detecting Mental Stress in College Students
por: Singh, Ashutosh, et al.
Publicado: (2024)
por: Singh, Ashutosh, et al.
Publicado: (2024)
Quantifying Climate Policy Action and Its Links to Development Outcomes: A Cross-National Data-Driven Analysis
por: Dutta, Aditi
Publicado: (2025)
por: Dutta, Aditi
Publicado: (2025)
Predicting Depression and Anxiety: A Multi-Layer Perceptron for Analyzing the Mental Health Impact of COVID-19
por: Fong, David, et al.
Publicado: (2024)
por: Fong, David, et al.
Publicado: (2024)
Multi-Class Plant Leaf Disease Detection: A CNN-based Approach with Mobile App Integration
por: Foysal, Md Aziz Hosen, et al.
Publicado: (2024)
por: Foysal, Md Aziz Hosen, et al.
Publicado: (2024)
Use of Boosting Algorithms in Household-Level Poverty Measurement: A Machine Learning Approach to Predict and Classify Household Wealth Quintiles in the Philippines
por: Salvador, Erika Lynet
Publicado: (2024)
por: Salvador, Erika Lynet
Publicado: (2024)
An Event-centric Framework for Predicting Crime Hotspots with Flexible Time Intervals
por: Jin, Jiahui, et al.
Publicado: (2024)
por: Jin, Jiahui, et al.
Publicado: (2024)
Predicting Trajectories of Long COVID in Adult Women: The Critical Role of Causal Disentanglement
por: Wang, Jing, et al.
Publicado: (2026)
por: Wang, Jing, et al.
Publicado: (2026)
Prediction without Preclusion: Recourse Verification with Reachable Sets
por: Kothari, Avni, et al.
Publicado: (2023)
por: Kothari, Avni, et al.
Publicado: (2023)
Hypothesis Testing for Quantifying LLM-Human Misalignment in Multiple Choice Settings
por: Hong, Harbin, et al.
Publicado: (2025)
por: Hong, Harbin, et al.
Publicado: (2025)
ChatISA: A Prompt-Engineered, In-House Multi-Modal Generative AI Chatbot for Information Systems Education
por: Megahed, Fadel M., et al.
Publicado: (2024)
por: Megahed, Fadel M., et al.
Publicado: (2024)
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality
por: Zanna, Khadija, et al.
Publicado: (2024)
por: Zanna, Khadija, et al.
Publicado: (2024)
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics
por: Chu, Yun-Wei, et al.
Publicado: (2022)
por: Chu, Yun-Wei, et al.
Publicado: (2022)
Quantifying the Cross-sectoral Intersecting Discrepancies within Multiple Groups Using Latent Class Analysis Towards Fairness
por: Yuan, Yingfang, et al.
Publicado: (2024)
por: Yuan, Yingfang, et al.
Publicado: (2024)
A Principled Approach for Data Bias Mitigation
por: Scarone, Bruno, et al.
Publicado: (2024)
por: Scarone, Bruno, et al.
Publicado: (2024)
Failure Risk Prediction in a MOOC: A Multivariate Time Series Analysis Approach
por: Ayady, Anass El, et al.
Publicado: (2025)
por: Ayady, Anass El, et al.
Publicado: (2025)
A Frugal Model for Accurate Early Student Failure Prediction
por: Gagaoua, Ikram, et al.
Publicado: (2025)
por: Gagaoua, Ikram, et al.
Publicado: (2025)
A Human-Centric Approach to Explainable AI for Personalized Education
por: Swamy, Vinitra
Publicado: (2025)
por: Swamy, Vinitra
Publicado: (2025)
Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making
por: Chohlas-Wood, Alex, et al.
Publicado: (2021)
por: Chohlas-Wood, Alex, et al.
Publicado: (2021)
A Distributionally Robust Optimisation Approach to Fair Credit Scoring
por: Casas, Pablo, et al.
Publicado: (2024)
por: Casas, Pablo, et al.
Publicado: (2024)
Advancing Crime Linkage Analysis with Machine Learning: A Comprehensive Review and Framework for Data-Driven Approaches
por: Lima, Vinicius, et al.
Publicado: (2024)
por: Lima, Vinicius, et al.
Publicado: (2024)
Reconciling Predictive Multiplicity in Practice
por: Behzad, Tina, et al.
Publicado: (2025)
por: Behzad, Tina, et al.
Publicado: (2025)
Child Mortality Prediction in Bangladesh: A Decade-Long Validation Study
por: Fahim, Md Muhtasim Munif, et al.
Publicado: (2026)
por: Fahim, Md Muhtasim Munif, et al.
Publicado: (2026)
Ejemplares similares
-
Predicting and Understanding College Student Mental Health with Interpretable Machine Learning
por: Chowdhury, Meghna Roy, et al.
Publicado: (2025) -
Temporal and Between-Group Variability in College Dropout Prediction
por: Glandorf, Dominik, et al.
Publicado: (2024) -
Reducing the Filtering Effect in Public School Admissions: A Bias-aware Analysis for Targeted Interventions
por: Faenza, Yuri, et al.
Publicado: (2020) -
Predicting Student Dropout Risk With A Dual-Modal Abrupt Behavioral Changes Approach
por: Cheng, Jiabei, et al.
Publicado: (2025) -
Developing a Novel Holistic, Personalized Dementia Risk Prediction Model via Integration of Machine Learning and Network Systems Biology Approaches
por: Mamidala, Srilekha
Publicado: (2023)