Predicting Space Tourism Demand Using Explainable AI
Fuente:
arXiv
Saved in:
| Main Authors: | Pham, Tan-Hanh, Bi, Jingchen, Mesa-Arango, Rodrigo, Nguyen, Kim-Doang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Investigating U.S. Consumer Demand for Food Products with Innovative Transportation Certificates Based on Stated Preferences and Machine Learning Approaches
by: Bi, Jingchen, et al.
Published: (2025)
by: Bi, Jingchen, et al.
Published: (2025)
Enhanced Droplet Analysis Using Generative Adversarial Networks
by: Pham, Tan-Hanh, et al.
Published: (2024)
by: Pham, Tan-Hanh, et al.
Published: (2024)
Adaptive Compensation for Robotic Joint Failures Using Partially Observable Reinforcement Learning
by: Pham, Tan-Hanh, et al.
Published: (2024)
by: Pham, Tan-Hanh, et al.
Published: (2024)
Missing Data Estimation for MR Spectroscopic Imaging via Mask-Free Deep Learning Methods
by: Pham, Tan-Hanh, et al.
Published: (2025)
by: Pham, Tan-Hanh, et al.
Published: (2025)
A Novel Framework for Automated Explain Vision Model Using Vision-Language Models
by: Nguyen, Phu-Vinh, et al.
Published: (2025)
by: Nguyen, Phu-Vinh, et al.
Published: (2025)
Root Causing Prediction Anomalies Using Explainable AI
by: Vishnampet, Ramanathan, et al.
Published: (2024)
by: Vishnampet, Ramanathan, et al.
Published: (2024)
Towards Explainable Clustering: A Constrained Declarative based Approach
by: Guilbert, Mathieu, et al.
Published: (2024)
by: Guilbert, Mathieu, et al.
Published: (2024)
Demystifying the Token Dynamics of Deep Selective State Space Models
by: Vo, Thieu N, et al.
Published: (2024)
by: Vo, Thieu N, et al.
Published: (2024)
ToFU: Transforming How Federated Learning Systems Forget User Data
by: Tran, Van-Tuan, et al.
Published: (2025)
by: Tran, Van-Tuan, et al.
Published: (2025)
Enabling Large Batch Size Training for DNN Models Beyond the Memory Limit While Maintaining Performance
by: Piao, XinYu, et al.
Published: (2021)
by: Piao, XinYu, et al.
Published: (2021)
Learning bridge numbers of knots
by: Vo, Hanh, et al.
Published: (2024)
by: Vo, Hanh, et al.
Published: (2024)
Explainable Disentangled Representation Learning for Generalizable Authorship Attribution in the Era of Generative AI
by: Man, Hieu, et al.
Published: (2026)
by: Man, Hieu, et al.
Published: (2026)
Explainable AI Integrated Feature Engineering for Wildfire Prediction
by: Fan, Di, et al.
Published: (2024)
by: Fan, Di, et al.
Published: (2024)
A Wearable Device Dataset for Mental Health Assessment Using Laser Doppler Flowmetry and Fluorescence Spectroscopy Sensors
by: Nguyen, Minh Ngoc, et al.
Published: (2025)
by: Nguyen, Minh Ngoc, et al.
Published: (2025)
Explainable AI in Deep Learning-Based Prediction of Solar Storms
by: Rawashdeh, Adam O., et al.
Published: (2025)
by: Rawashdeh, Adam O., et al.
Published: (2025)
Self-Supervised State Space Model for Real-Time Traffic Accident Prediction Using eKAN Networks
by: Tan, Xin, et al.
Published: (2024)
by: Tan, Xin, et al.
Published: (2024)
Graph Counterfactual Explainable AI via Latent Space Traversal
by: Hansen, Andreas Abildtrup, et al.
Published: (2025)
by: Hansen, Andreas Abildtrup, et al.
Published: (2025)
LINKER: Learning Interactions Between Functional Groups and Residues With Chemical Knowledge-Enhanced Reasoning and Explainability
by: Pham, Phuc, et al.
Published: (2025)
by: Pham, Phuc, et al.
Published: (2025)
CROSS-Net: Region-Agnostic Taxi-Demand Prediction Using Feature Disentanglement
by: Ozeki, Ren, et al.
Published: (2023)
by: Ozeki, Ren, et al.
Published: (2023)
An Explainable AI Model for Predicting the Recurrence of Differentiated Thyroid Cancer
by: Ahmad, Mohammad Al-Sayed, et al.
Published: (2024)
by: Ahmad, Mohammad Al-Sayed, et al.
Published: (2024)
Explainable AI for Curie Temperature Prediction in Magnetic Materials
by: Ajaib, M. Adeel, et al.
Published: (2025)
by: Ajaib, M. Adeel, et al.
Published: (2025)
Explainable AI for Fair Sepsis Mortality Predictive Model
by: Chang, Chia-Hsuan, et al.
Published: (2024)
by: Chang, Chia-Hsuan, et al.
Published: (2024)
AI-Driven Predictive Analytics Approach for Early Prognosis of Chronic Kidney Disease Using Ensemble Learning and Explainable AI
by: Jawad, K M Tawsik, et al.
Published: (2024)
by: Jawad, K M Tawsik, et al.
Published: (2024)
Adventures in Demand Analysis Using AI
by: Bach, Philipp, et al.
Published: (2024)
by: Bach, Philipp, et al.
Published: (2024)
Melanoma Classification Through Deep Ensemble Learning and Explainable AI
by: Perera, Wadduwage Shanika, et al.
Published: (2025)
by: Perera, Wadduwage Shanika, et al.
Published: (2025)
A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting
by: Park, Young-Jin, et al.
Published: (2024)
by: Park, Young-Jin, et al.
Published: (2024)
Compressing Deep Neural Networks Using Explainable AI
by: Soroush, Kimia, et al.
Published: (2025)
by: Soroush, Kimia, et al.
Published: (2025)
Attention-enabled Explainable AI for Bladder Cancer Recurrence Prediction
by: Abbas, Saram, et al.
Published: (2025)
by: Abbas, Saram, et al.
Published: (2025)
Enhancing Uncertain Demand Prediction in Hospitals Using Simple and Advanced Machine Learning
by: Hu, Annie, et al.
Published: (2024)
by: Hu, Annie, et al.
Published: (2024)
Evaluating Pavement Deterioration Rates Due to Flooding Events Using Explainable AI
by: Peng, Lidan, et al.
Published: (2025)
by: Peng, Lidan, et al.
Published: (2025)
Defect Prediction with Content-based Features
by: Pham, Hung Viet, et al.
Published: (2024)
by: Pham, Hung Viet, et al.
Published: (2024)
UB-SMoE: Universally Balanced Sparse Mixture-of-Experts for Resource-adaptive Federated Fine-tuning of Foundation Models
by: Tran, Van-Tuan, et al.
Published: (2026)
by: Tran, Van-Tuan, et al.
Published: (2026)
Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts
by: Tripathi, Aakash, et al.
Published: (2025)
by: Tripathi, Aakash, et al.
Published: (2025)
Combining Deep Learning and Explainable AI for Toxicity Prediction of Chemical Compounds
by: Popescu, Eduard, et al.
Published: (2025)
by: Popescu, Eduard, et al.
Published: (2025)
Neurosymbolic AI for Travel Demand Prediction: Integrating Decision Tree Rules into Neural Networks
by: Acharya, Kamal, et al.
Published: (2025)
by: Acharya, Kamal, et al.
Published: (2025)
Beyond Feature Importance: Feature Interactions in Predicting Post-Stroke Rigidity with Graph Explainable AI
by: Xu, Jiawei, et al.
Published: (2025)
by: Xu, Jiawei, et al.
Published: (2025)
Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Models
by: Wang, Zhenzhong, et al.
Published: (2024)
by: Wang, Zhenzhong, et al.
Published: (2024)
Position: Explainable AI is Causality in Disguise
by: Karimi, Amir-Hossein
Published: (2026)
by: Karimi, Amir-Hossein
Published: (2026)
Probabilistic Demand Forecasting with Graph Neural Networks
by: Kozodoi, Nikita, et al.
Published: (2024)
by: Kozodoi, Nikita, et al.
Published: (2024)
Graph Construction with Flexible Nodes for Traffic Demand Prediction
by: Hou, Jinyan, et al.
Published: (2024)
by: Hou, Jinyan, et al.
Published: (2024)
Similar Items
-
Investigating U.S. Consumer Demand for Food Products with Innovative Transportation Certificates Based on Stated Preferences and Machine Learning Approaches
by: Bi, Jingchen, et al.
Published: (2025) -
Enhanced Droplet Analysis Using Generative Adversarial Networks
by: Pham, Tan-Hanh, et al.
Published: (2024) -
Adaptive Compensation for Robotic Joint Failures Using Partially Observable Reinforcement Learning
by: Pham, Tan-Hanh, et al.
Published: (2024) -
Missing Data Estimation for MR Spectroscopic Imaging via Mask-Free Deep Learning Methods
by: Pham, Tan-Hanh, et al.
Published: (2025) -
A Novel Framework for Automated Explain Vision Model Using Vision-Language Models
by: Nguyen, Phu-Vinh, et al.
Published: (2025)