Gated Multimodal Learning for Interpretable Property Energy Performance Prediction and Retrofit Scenario Analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Bai, Yunfei, Tsion, Aaron Tesfa, Rosales, Raul, Shollock, Barbara, He, Wei |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Predicting and Understanding College Student Mental Health with Interpretable Machine Learning
by: Chowdhury, Meghna Roy, et al.
Published: (2025)
by: Chowdhury, Meghna Roy, et al.
Published: (2025)
Learning Interpretable Fair Representations
by: Wang, Tianhao, et al.
Published: (2024)
by: Wang, Tianhao, et al.
Published: (2024)
Machine Learning-Driven Student Performance Prediction for Enhancing Tiered Instruction
by: Chen, Yawen, et al.
Published: (2025)
by: Chen, Yawen, et al.
Published: (2025)
Vehicle-group-based Crash Risk Prediction and Interpretation on Highways
by: Zhu, Tianheng, et al.
Published: (2024)
by: Zhu, Tianheng, et al.
Published: (2024)
Deep Learning Based Crime Prediction Models: Experiments and Analysis
by: Utsha, Rittik Basak, et al.
Published: (2024)
by: Utsha, Rittik Basak, et al.
Published: (2024)
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records
by: Wang, Yuqing, et al.
Published: (2024)
by: Wang, Yuqing, et al.
Published: (2024)
Research on Education Big Data for Students Academic Performance Analysis based on Machine Learning
by: Wang, Chun, et al.
Published: (2024)
by: Wang, Chun, et al.
Published: (2024)
Interpretable Machine Learning for Resource Allocation with Application to Ventilator Triage
by: Grand-Clément, Julien, et al.
Published: (2021)
by: Grand-Clément, Julien, et al.
Published: (2021)
Towards Public Administration Research Based on Interpretable Machine Learning
by: Liu, Zhanyu, et al.
Published: (2026)
by: Liu, Zhanyu, et al.
Published: (2026)
Predicting Male Domestic Violence Using Explainable Ensemble Learning and Exploratory Data Analysis
by: Jahin, Md Abrar, et al.
Published: (2024)
by: Jahin, Md Abrar, et al.
Published: (2024)
Towards An Online Incremental Approach to Predict Students Performance
by: Labba, Chahrazed, et al.
Published: (2024)
by: Labba, Chahrazed, et al.
Published: (2024)
Improvement of Applicability in Student Performance Prediction Based on Transfer Learning
by: Zhao, Yan
Published: (2024)
by: Zhao, Yan
Published: (2024)
Evaluation of Machine Learning Models in Student Academic Performance Prediction
by: Sandeepa, A. G. R., et al.
Published: (2025)
by: Sandeepa, A. G. R., et al.
Published: (2025)
Centralized vs. Federated Learning for Educational Data Mining: A Comparative Study on Student Performance Prediction with SAEB Microdata
by: Tertulino, Rodrigo
Published: (2025)
by: Tertulino, Rodrigo
Published: (2025)
Feature Engineering on LMS Data to Optimize Student Performance Prediction
by: Hubbard, Keith, et al.
Published: (2025)
by: Hubbard, Keith, et al.
Published: (2025)
Making Bias Non-Predictive: Training Robust LLM Reasoning via Reinforcement Learning
by: Wang, Qian, et al.
Published: (2026)
by: Wang, Qian, et al.
Published: (2026)
Retrofit: Continual Learning with Controlled Forgetting for Binary Security Detection and Analysis
by: He, Yiling, et al.
Published: (2025)
by: He, Yiling, et al.
Published: (2025)
Unveiling Hidden Energy Anomalies: Harnessing Deep Learning to Optimize Energy Management in Sports Facilities
by: Fadli, Fodil, et al.
Published: (2024)
by: Fadli, Fodil, et al.
Published: (2024)
Gated-Attention Feature-Fusion Based Framework for Poverty Prediction
by: Ramzan, Muhammad Umer, et al.
Published: (2024)
by: Ramzan, Muhammad Umer, et al.
Published: (2024)
Scenario Discovery for Urban Planning: The Case of Green Urbanism and the Impact on Stress
by: Lahoz, Lorena Torres, et al.
Published: (2025)
by: Lahoz, Lorena Torres, et al.
Published: (2025)
A Comparative Analysis of Student Performance Predictions in Online Courses using Heterogeneous Knowledge Graphs
by: Trask, Thomas, et al.
Published: (2024)
by: Trask, Thomas, et al.
Published: (2024)
Predictive Performance Comparison of Decision Policies Under Confounding
by: Guerdan, Luke, et al.
Published: (2024)
by: Guerdan, Luke, et al.
Published: (2024)
Learning Beyond Optimization: Stress-Gated Dynamical Regime Regulation in Autonomous Systems
by: Ran, Sheng
Published: (2026)
by: Ran, Sheng
Published: (2026)
Regulation of Language Models With Interpretability Will Likely Result In A Performance Trade-Off
by: Kenny, Eoin M., et al.
Published: (2024)
by: Kenny, Eoin M., et al.
Published: (2024)
Bias Amplification Enhances Minority Group Performance
by: Li, Gaotang, et al.
Published: (2023)
by: Li, Gaotang, et al.
Published: (2023)
From Correlation to Causation: Understanding Climate Change through Causal Analysis and LLM Interpretations
by: Shan, Shan
Published: (2024)
by: Shan, Shan
Published: (2024)
A Comparative Analysis of Wealth Index Predictions in Africa between three Multi-Source Inference Models
by: Karsai, Márton, et al.
Published: (2024)
by: Karsai, Márton, et al.
Published: (2024)
Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks
by: He, Erhu, et al.
Published: (2024)
by: He, Erhu, et al.
Published: (2024)
Addressing Polarization and Unfairness in Performative Prediction
by: Jin, Kun, et al.
Published: (2024)
by: Jin, Kun, et al.
Published: (2024)
Revisiting the Predictability of Performative, Social Events
by: Perdomo, Juan C.
Published: (2025)
by: Perdomo, Juan C.
Published: (2025)
ML Interpretability: Simple Isn't Easy
by: Räz, Tim
Published: (2022)
by: Räz, Tim
Published: (2022)
Rethinking Fair Representation Learning for Performance-Sensitive Tasks
by: Jones, Charles, et al.
Published: (2024)
by: Jones, Charles, et al.
Published: (2024)
A Multi-Head Attention Soft Random Forest for Interpretable Patient No-Show Prediction
by: Amalina, Ninda Nurseha, et al.
Published: (2025)
by: Amalina, Ninda Nurseha, et al.
Published: (2025)
Quantifying Holistic Review: A Multi-Modal Approach to College Admissions Prediction
by: Zeng, Jun-Wei, et al.
Published: (2025)
by: Zeng, Jun-Wei, et al.
Published: (2025)
ELMES: An Automated Framework for Evaluating Large Language Models in Educational Scenarios
by: Wei, Shou'ang, et al.
Published: (2025)
by: Wei, Shou'ang, et al.
Published: (2025)
Forecasting India's Demographic Transition Under Fertility Policy Scenarios Using hybrid LSTM-PINN Model
by: Khanra, Subarna, et al.
Published: (2025)
by: Khanra, Subarna, et al.
Published: (2025)
Prediction without Preclusion: Recourse Verification with Reachable Sets
by: Kothari, Avni, et al.
Published: (2023)
by: Kothari, Avni, et al.
Published: (2023)
ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness
by: Zhang, Yunfei, et al.
Published: (2023)
by: Zhang, Yunfei, et al.
Published: (2023)
Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness
by: Somerstep, Seamus, et al.
Published: (2024)
by: Somerstep, Seamus, et al.
Published: (2024)
Fast and Interpretable Mortality Risk Scores for Critical Care Patients
by: Zhu, Chloe Qinyu, et al.
Published: (2023)
by: Zhu, Chloe Qinyu, et al.
Published: (2023)
Similar Items
-
Predicting and Understanding College Student Mental Health with Interpretable Machine Learning
by: Chowdhury, Meghna Roy, et al.
Published: (2025) -
Learning Interpretable Fair Representations
by: Wang, Tianhao, et al.
Published: (2024) -
Machine Learning-Driven Student Performance Prediction for Enhancing Tiered Instruction
by: Chen, Yawen, et al.
Published: (2025) -
Vehicle-group-based Crash Risk Prediction and Interpretation on Highways
by: Zhu, Tianheng, et al.
Published: (2024) -
Deep Learning Based Crime Prediction Models: Experiments and Analysis
by: Utsha, Rittik Basak, et al.
Published: (2024)