Saved in:
| Main Authors: | Brini, Alessio, Giovannini, Elisa, Smaniotto, Elia |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2304.01215 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improving DeFi Accessibility through Efficient Liquidity Provisioning with Deep Reinforcement Learning
by: Xu, Haonan, et al.
Published: (2025)
by: Xu, Haonan, et al.
Published: (2025)
A Machine Learning Approach for Honey Adulteration Detection using Mineral Element Profiles
by: Al-Awadhi, Mokhtar A., et al.
Published: (2025)
by: Al-Awadhi, Mokhtar A., et al.
Published: (2025)
Classification of Honey Botanical and Geographical Sources using Mineral Profiles and Machine Learning
by: Al-Awadhi, Mokhtar, et al.
Published: (2025)
by: Al-Awadhi, Mokhtar, et al.
Published: (2025)
Honey Adulteration Detection using Hyperspectral Imaging and Machine Learning
by: Al-Awadhi, Mokhtar A., et al.
Published: (2025)
by: Al-Awadhi, Mokhtar A., et al.
Published: (2025)
Comparative Analysis of Polygon-Based and Global Machine Learning Models for Bus Occupancy Prediction
by: Azenkot, Daniel, et al.
Published: (2026)
by: Azenkot, Daniel, et al.
Published: (2026)
A Machine Learning Approach For Bitcoin Forecasting
by: Sossi-Rojas, Stefano, et al.
Published: (2025)
by: Sossi-Rojas, Stefano, et al.
Published: (2025)
A Comprehensive Machine Learning Framework for Micromobility Demand Prediction
by: Porat, Omri, et al.
Published: (2025)
by: Porat, Omri, et al.
Published: (2025)
Probabilistic Wind Power Forecasting with Tree-Based Machine Learning and Weather Ensembles
by: Bruninx, Max, et al.
Published: (2026)
by: Bruninx, Max, et al.
Published: (2026)
Electric Vehicle Charging Load Forecasting: An Experimental Comparison of Machine Learning Methods
by: Kyriakopoulos, Iason, et al.
Published: (2025)
by: Kyriakopoulos, Iason, et al.
Published: (2025)
SpotV2Net: Multivariate Intraday Spot Volatility Forecasting via Vol-of-Vol-Informed Graph Attention Networks
by: Brini, Alessio, et al.
Published: (2024)
by: Brini, Alessio, et al.
Published: (2024)
Inverting the Fundamental Diagram and Forecasting Boundary Conditions: How Machine Learning Can Improve Macroscopic Models for Traffic Flow
by: Briani, Maya, et al.
Published: (2023)
by: Briani, Maya, et al.
Published: (2023)
SpinCastML an Open Decision-Making Application for Inverse Design of Electrospinning Manufacturing: A Machine Learning, Optimal Sampling and Inverse Monte Carlo Approach
by: Roldan, Elisa, et al.
Published: (2026)
by: Roldan, Elisa, et al.
Published: (2026)
A Granular Framework for Construction Material Price Forecasting: Econometric and Machine-Learning Approaches
by: Lyu, Boge, et al.
Published: (2025)
by: Lyu, Boge, et al.
Published: (2025)
Beyond Average Hive Performance: Tail Risk Measurement in Italian Apiculture With Honey‐at‐Risk
by: Alessio Brini, et al.
Published: (2026)
by: Alessio Brini, et al.
Published: (2026)
Macroeconomic Forecasting and Machine Learning
by: Chi, Ta-Chung, et al.
Published: (2025)
by: Chi, Ta-Chung, et al.
Published: (2025)
A Scientific Machine Learning Approach for Predicting and Forecasting Battery Degradation in Electric Vehicles
by: Murgai, Sharv, et al.
Published: (2024)
by: Murgai, Sharv, et al.
Published: (2024)
The Evolution of Football Betting- A Machine Learning Approach to Match Outcome Forecasting and Bookmaker Odds Estimation
by: Mandadapu, Purnachandra
Published: (2024)
by: Mandadapu, Purnachandra
Published: (2024)
Short-Term Forecasting of Energy Production and Consumption Using Extreme Learning Machine: A Comprehensive MIMO based ELM Approach
by: Voyant, Cyril, et al.
Published: (2025)
by: Voyant, Cyril, et al.
Published: (2025)
Forecast-Then-Optimize Deep Learning Methods
by: Jiang, Jinhang, et al.
Published: (2025)
by: Jiang, Jinhang, et al.
Published: (2025)
Dual Interpretation of Machine Learning Forecasts
by: Coulombe, Philippe Goulet, et al.
Published: (2024)
by: Coulombe, Philippe Goulet, et al.
Published: (2024)
A Comparative Study of Machine Learning Algorithms for Electricity Price Forecasting with LIME-Based Interpretability
by: Zhao, Xuanyi, et al.
Published: (2025)
by: Zhao, Xuanyi, et al.
Published: (2025)
Forecasting Drought Using Machine Learning in California
by: Li, Nan K., et al.
Published: (2025)
by: Li, Nan K., et al.
Published: (2025)
StableAML: Machine Learning for Behavioral Wallet Detection in Stablecoin Anti-Money Laundering on Ethereum
by: Juvinski, Luciano, et al.
Published: (2026)
by: Juvinski, Luciano, et al.
Published: (2026)
Transforming Triple-Entry Accounting with Machine Learning: A Path to Enhanced Transparency Through Analytics
by: Weinberg, Abraham Itzhak, et al.
Published: (2024)
by: Weinberg, Abraham Itzhak, et al.
Published: (2024)
CRISIS ALERT:Forecasting Stock Market Crisis Events Using Machine Learning Methods
by: Chen, Yue, et al.
Published: (2024)
by: Chen, Yue, et al.
Published: (2024)
Inductive Transfer Learning for Graph-Based Recommenders
by: Grötschla, Florian, et al.
Published: (2025)
by: Grötschla, Florian, et al.
Published: (2025)
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)
Daily Forecasting for Annual Time Series Datasets Using Similarity-Based Machine Learning Methods: A Case Study in the Energy Market
by: Goldani, Mahdi
Published: (2025)
by: Goldani, Mahdi
Published: (2025)
Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps Approach
by: Bayram, Firas, et al.
Published: (2024)
by: Bayram, Firas, et al.
Published: (2024)
Exploring Quantum Machine Learning for Weather Forecasting
by: da Silva, Maria Heloísa F., et al.
Published: (2025)
by: da Silva, Maria Heloísa F., et al.
Published: (2025)
Ionospheric Scintillation Forecasting Using Machine Learning
by: Halawa, Sultan, et al.
Published: (2024)
by: Halawa, Sultan, et al.
Published: (2024)
Unemployment Dynamics Forecasting with Machine Learning Regression Models
by: Kim, Kyungsu
Published: (2025)
by: Kim, Kyungsu
Published: (2025)
Monitoring Machine Learning Forecasts for Platform Data Streams
by: Rombouts, Jeroen, et al.
Published: (2024)
by: Rombouts, Jeroen, et al.
Published: (2024)
Enhancing Retail Sales Forecasting with Optimized Machine Learning Models
by: Ganguly, Priyam, et al.
Published: (2024)
by: Ganguly, Priyam, et al.
Published: (2024)
Comparative Evaluation of Weather Forecasting using Machine Learning Models
by: Rahman, Md Saydur, et al.
Published: (2024)
by: Rahman, Md Saydur, et al.
Published: (2024)
Water Quality Estimation Through Machine Learning Multivariate Analysis
by: Cardia, Marco, et al.
Published: (2025)
by: Cardia, Marco, et al.
Published: (2025)
A Secured Triad of IoT, Machine Learning, and Blockchain for Crop Forecasting in Agriculture
by: Sizan, Najmus Sakib, et al.
Published: (2025)
by: Sizan, Najmus Sakib, et al.
Published: (2025)
Missing Data in Signal Processing and Machine Learning: Models, Methods and Modern Approaches
by: Hippert-Ferrer, Alexandre, et al.
Published: (2025)
by: Hippert-Ferrer, Alexandre, et al.
Published: (2025)
Bundle Network: a Machine Learning-Based Bundle Method
by: Demelas, Francesca, et al.
Published: (2025)
by: Demelas, Francesca, et al.
Published: (2025)
A Systematic Review of Machine Learning Approaches for Detecting Deceptive Activities on Social Media: Methods, Challenges, and Biases
by: Liu, Yunchong, et al.
Published: (2024)
by: Liu, Yunchong, et al.
Published: (2024)
Similar Items
-
Improving DeFi Accessibility through Efficient Liquidity Provisioning with Deep Reinforcement Learning
by: Xu, Haonan, et al.
Published: (2025) -
A Machine Learning Approach for Honey Adulteration Detection using Mineral Element Profiles
by: Al-Awadhi, Mokhtar A., et al.
Published: (2025) -
Classification of Honey Botanical and Geographical Sources using Mineral Profiles and Machine Learning
by: Al-Awadhi, Mokhtar, et al.
Published: (2025) -
Honey Adulteration Detection using Hyperspectral Imaging and Machine Learning
by: Al-Awadhi, Mokhtar A., et al.
Published: (2025) -
Comparative Analysis of Polygon-Based and Global Machine Learning Models for Bus Occupancy Prediction
by: Azenkot, Daniel, et al.
Published: (2026)