Automated machine learning: AI-driven decision making in business analytics
Fuente:
arXiv
Saved in:
| Main Author: | Schmitt, Marc |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
XAI4Extremes: An interpretable machine learning framework for understanding extreme-weather precursors under climate change
by: Wei, Jiawen, et al.
Published: (2025)
by: Wei, Jiawen, et al.
Published: (2025)
Deep Learning in Business Analytics: A Clash of Expectations and Reality
by: Schmitt, Marc
Published: (2022)
by: Schmitt, Marc
Published: (2022)
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning
by: Qu, Xinye, et al.
Published: (2025)
by: Qu, Xinye, et al.
Published: (2025)
Exploring the non-convexity in machine learning using quantum-inspired optimization
by: Kumar, Kandula Eswara Sai, et al.
Published: (2026)
by: Kumar, Kandula Eswara Sai, et al.
Published: (2026)
LendNova: Towards Automated Credit Risk Assessment with Language Models
by: Shamsi, Kiarash, et al.
Published: (2026)
by: Shamsi, Kiarash, et al.
Published: (2026)
Aeroengine performance prediction using a physical-embedded data-driven method
by: Mo, Tong, et al.
Published: (2024)
by: Mo, Tong, et al.
Published: (2024)
DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting
by: Zhao, Lifan, et al.
Published: (2023)
by: Zhao, Lifan, et al.
Published: (2023)
Data-driven building energy efficiency prediction using physics-informed neural networks
by: Michalakopoulos, Vasilis, et al.
Published: (2023)
by: Michalakopoulos, Vasilis, et al.
Published: (2023)
AIonopedia: an LLM agent orchestrating multimodal learning for ionic liquid discovery
by: Yin, Yuqi, et al.
Published: (2025)
by: Yin, Yuqi, et al.
Published: (2025)
Foam-Agent 2.0: An End-to-End Composable Multi-Agent Framework for Automating CFD Simulation in OpenFOAM
by: Yue, Ling, et al.
Published: (2025)
by: Yue, Ling, et al.
Published: (2025)
Regulatory Graphs and GenAI for Real-Time Transaction Monitoring and Compliance Explanation in Banking
by: Khanvilkar, Kunal, et al.
Published: (2025)
by: Khanvilkar, Kunal, et al.
Published: (2025)
Lean 5.0: A Predictive, Human-AI, and Ethically Grounded Paradigm for Construction Management
by: Khoshkonesh, Atena, et al.
Published: (2025)
by: Khoshkonesh, Atena, et al.
Published: (2025)
AI Agents in Engineering Design: A Multi-Agent Framework for Aesthetic and Aerodynamic Car Design
by: Elrefaie, Mohamed, et al.
Published: (2025)
by: Elrefaie, Mohamed, et al.
Published: (2025)
A Survey of AI-Powered Mini-Grid Solutions for a Sustainable Future in Rural Communities
by: Pirie, Craig, et al.
Published: (2024)
by: Pirie, Craig, et al.
Published: (2024)
CSP-AIT-Net: A contrastive learning-enhanced spatiotemporal graph attention framework for short-term metro OD flow prediction with asynchronous inflow tracking
by: Wang, Yichen, et al.
Published: (2024)
by: Wang, Yichen, et al.
Published: (2024)
The Rise of AI Teammates in Software Engineering (SE) 3.0: How Autonomous Coding Agents Are Reshaping Software Engineering
by: Li, Hao, et al.
Published: (2025)
by: Li, Hao, et al.
Published: (2025)
MANA-Net: Mitigating Aggregated Sentiment Homogenization with News Weighting for Enhanced Market Prediction
by: Wang, Mengyu, et al.
Published: (2024)
by: Wang, Mengyu, et al.
Published: (2024)
CatMemo at the FinLLM Challenge Task: Fine-Tuning Large Language Models using Data Fusion in Financial Applications
by: Cao, Yupeng, et al.
Published: (2024)
by: Cao, Yupeng, et al.
Published: (2024)
R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
by: Li, Yuante, et al.
Published: (2025)
by: Li, Yuante, et al.
Published: (2025)
Hidformer: Transformer-Style Neural Network in Stock Price Forecasting
by: Szydłowski, Kamil Ł., et al.
Published: (2024)
by: Szydłowski, Kamil Ł., et al.
Published: (2024)
Financial Assets Dependency Prediction Utilizing Spatiotemporal Patterns
by: Zhu, Haoren, et al.
Published: (2024)
by: Zhu, Haoren, et al.
Published: (2024)
Predicting Grain Growth in Polycrystalline Materials Using Deep Learning Time Series Models
by: Younes, Eliane, et al.
Published: (2025)
by: Younes, Eliane, et al.
Published: (2025)
ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling
by: Huang, Chenyu, et al.
Published: (2024)
by: Huang, Chenyu, et al.
Published: (2024)
How to integrate cloud service, data analytic and machine learning technique to reduce cyber risks associated with the modern cloud based infrastructure
by: Bhatta, Upakar
Published: (2024)
by: Bhatta, Upakar
Published: (2024)
CausalStock: Deep End-to-end Causal Discovery for News-driven Stock Movement Prediction
by: Li, Shuqi, et al.
Published: (2024)
by: Li, Shuqi, et al.
Published: (2024)
Fairness of Explanations in Artificial Intelligence (AI): A Unifying Framework, Axioms, and Future Direction toward Responsible AI
by: Popoola, Gideon, et al.
Published: (2026)
by: Popoola, Gideon, et al.
Published: (2026)
RAISE: A Unified Framework for Responsible AI Scoring and Evaluation
by: Nguyen, Loc Phuc Truong, et al.
Published: (2025)
by: Nguyen, Loc Phuc Truong, et al.
Published: (2025)
A data-driven framework for team selection in Fantasy Premier League
by: Ramezani, Danial, et al.
Published: (2025)
by: Ramezani, Danial, et al.
Published: (2025)
Off-the-Shelf Neural Network Architectures for Forex Time Series Prediction come at a Cost
by: Zafeiriou, Theodoros, et al.
Published: (2024)
by: Zafeiriou, Theodoros, et al.
Published: (2024)
DeepSupp: Attention-Driven Correlation Pattern Analysis for Dynamic Time Series Support and Resistance Levels Identification
by: Kriuk, Boris, et al.
Published: (2025)
by: Kriuk, Boris, et al.
Published: (2025)
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
by: Wang, Shengkun, et al.
Published: (2024)
by: Wang, Shengkun, et al.
Published: (2024)
Temporal distribution of clusters of investors and their application in prediction with expert advice
by: Wisniewski, Wojciech, et al.
Published: (2024)
by: Wisniewski, Wojciech, et al.
Published: (2024)
ARTEMIS: A Neuro Symbolic Framework for Economically Constrained Market Dynamics
by: Ray, Rahul D
Published: (2026)
by: Ray, Rahul D
Published: (2026)
Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling
by: Zeng, Liang, et al.
Published: (2021)
by: Zeng, Liang, et al.
Published: (2021)
Bitcoin Price Prediction using Machine Learning and Combinatorial Fusion Analysis
by: Wu, Yuanhong, et al.
Published: (2026)
by: Wu, Yuanhong, et al.
Published: (2026)
Deep Learning Models Meet Financial Data Modalities
by: Khubiev, Kasymkhan, et al.
Published: (2025)
by: Khubiev, Kasymkhan, et al.
Published: (2025)
OneComp: One-Line Revolution for Generative AI Model Compression
by: Ichikawa, Yuma, et al.
Published: (2026)
by: Ichikawa, Yuma, et al.
Published: (2026)
Automated Design Optimization via Strategic Search with Large Language Models
by: Carreon, Anthony, et al.
Published: (2025)
by: Carreon, Anthony, et al.
Published: (2025)
FALCON: An ML Framework for Fully Automated Layout-Constrained Analog Circuit Design
by: Mehradfar, Asal, et al.
Published: (2025)
by: Mehradfar, Asal, et al.
Published: (2025)
Equivariant Flow Matching for Symmetry-Breaking Bifurcation Problems
by: Hendriks, Fleur, et al.
Published: (2025)
by: Hendriks, Fleur, et al.
Published: (2025)
Similar Items
-
XAI4Extremes: An interpretable machine learning framework for understanding extreme-weather precursors under climate change
by: Wei, Jiawen, et al.
Published: (2025) -
Deep Learning in Business Analytics: A Clash of Expectations and Reality
by: Schmitt, Marc
Published: (2022) -
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning
by: Qu, Xinye, et al.
Published: (2025) -
Exploring the non-convexity in machine learning using quantum-inspired optimization
by: Kumar, Kandula Eswara Sai, et al.
Published: (2026) -
LendNova: Towards Automated Credit Risk Assessment with Language Models
by: Shamsi, Kiarash, et al.
Published: (2026)