Image de couverture de livre

Representation Learning of Complex Assemblies, An Effort to Improve Corporate Scope 3 Emissions Calculation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chatterjee, Ajay, Ranganathan, Srikanth
Format:	Preprint
Publié:	2024
Sujets:	Computers and Society Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Active Learning to Guide Labeling Efforts for Question Difficulty Estimation
par: Thuy, Arthur, et autres
Publié: (2024)

From Heuristics to Analytics: Forecasting Effort and Progress in Online Learning
par: Qiu, Eric S., et autres
Publié: (2026)

Learning Interpretable Fair Representations
par: Wang, Tianhao, et autres
Publié: (2024)

Learning Fair Representations with Kolmogorov-Arnold Networks
par: Priyadarshini, Amisha, et autres
Publié: (2025)

Rethinking Fair Representation Learning for Performance-Sensitive Tasks
par: Jones, Charles, et autres
Publié: (2024)

Debiasing Graph Representation Learning based on Information Bottleneck
par: Zhang, Ziyi, et autres
Publié: (2024)

Macroscopic Emission Modeling of Urban Traffic Using Probe Vehicle Data: A Machine Learning Approach
par: Adlouni, Mohammed Ali El, et autres
Publié: (2025)

LearnLM: Improving Gemini for Learning
par: LearnLM Team, et autres
Publié: (2024)

Effort-aware Fairness: Incorporating a Philosophy-informed, Human-centered Notion of Effort into Algorithmic Fairness Metrics
par: Nguyen, Tin Trung, et autres
Publié: (2025)

Fair Graph Representation Learning via Sensitive Attribute Disentanglement
par: Zhu, Yuchang, et autres
Publié: (2024)

Fairness-Aware Graph Representation Learning with Limited Demographic Information
par: Wang, Zichong, et autres
Publié: (2025)

Heterogeneous Ordinal Structure Learning with Bayesian Nonparametric Complexity Discovery
par: Rafe, Amir, et autres
Publié: (2026)

Carbon Emission Prediction in China Considering New Quality Productive Forces Using a Deep & Corss Learning Modeling Framework
par: Xie, Haijin, et autres
Publié: (2025)

Data Acquisition for Improving Model Fairness using Reinforcement Learning
par: Hasan, Jahid, et autres
Publié: (2024)

Self-supervised Representation Learning on Electronic Health Records with Graph Kernel Infomax
par: Yao, Hao-Ren, et autres
Publié: (2022)

Learning Representational Disparities
par: Ravishankar, Pavan, et autres
Publié: (2025)

Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality and Uncertainty
par: Efthymiou, Valia, et autres
Publié: (2025)

Network-Based Transfer Learning Helps Improve Short-Term Crime Prediction Accuracy
par: Wu, Jiahui, et autres
Publié: (2024)

Climate AI for Corporate Decarbonization Metrics Extraction
par: Dave, Aditya, et autres
Publié: (2024)

Learning Fairer Representations with FairVIC
par: Barker, Charmaine, et autres
Publié: (2024)

The Representational Status of Deep Learning Models
par: Duede, Eamon
Publié: (2023)

Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning
par: Hu, Jingyu, et autres
Publié: (2024)

Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via Data Selection
par: Jain, Saachi, et autres
Publié: (2024)

OpenCarbonEval: A Unified Carbon Emission Estimation Framework in Large-Scale AI Models
par: Yu, Zhaojian, et autres
Publié: (2024)

Extracting Actionable Insights from Building Energy Data using Vision LLMs on Wavelet and 3D Recurrence Representations
par: Bechar, Amine, et autres
Publié: (2025)

A Multi-Plant Machine Learning Framework for Emission Prediction, Forecasting, and Control in Cement Manufacturing
par: Fayaz, Sheikh Junaid, et autres
Publié: (2026)

Navigating AI to Unpack Youth Privacy Concerns: An In-Depth Exploration and Systematic Review
par: Shrestha, Ajay Kumar, et autres
Publié: (2024)

Emissions Reporting Maturity Model: supporting cities to leverage emissions-related processes through performance indicators and artificial intelligence
par: Xavier, Victor de A., et autres
Publié: (2023)

Fair CCA for Fair Representation Learning: An ADNI Study
par: Hou, Bojian, et autres
Publié: (2025)

When Can Memorization Improve Fairness?
par: Pepin, Bob, et autres
Publié: (2024)

Closing the Gap in the Trade-off between Fair Representations and Accuracy
par: Rout, Biswajit, et autres
Publié: (2024)

Latent Representations of Intracardiac Electrograms for Atrial Fibrillation Driver Detection
par: Peiro-Corbacho, Pablo, et autres
Publié: (2025)

Using Artificial Intelligence to Improve Classroom Learning Experience
par: Hossain, Shadeeb
Publié: (2025)

Causal Manifold Fairness: Enforcing Geometric Invariance in Representation Learning
par: Rathore, Vidhi
Publié: (2026)

Unfair Utilities and First Steps Towards Improving Them
par: Jørgensen, Frederik Hytting, et autres
Publié: (2023)

A Human-Centered Approach for Improving Supervised Learning
par: Bansal, Shubhi, et autres
Publié: (2024)

Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously
par: Li, Dong, et autres
Publié: (2024)

Improving the accuracy of food security predictions by integrating conflict data
par: Bertetti, Marco, et autres
Publié: (2024)

Fair for a few: Improving Fairness in Doubly Imbalanced Datasets
par: Yalcin, Ata, et autres
Publié: (2025)

Ethical AI for Young Digital Citizens: A Call to Action on Privacy Governance
par: Shouli, Austin, et autres
Publié: (2025)