Hybrid Machine Learning

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

21 shown of 21 papers with code (103 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• A Statistical Evaluation of Indoor LoRaWAN Environment-Aware Propagation for 6G: MLR, ANOVA, and Residual Distribution Analysis
  23 Apr 2025 1 repository listed
  Modeling path loss in indoor LoRaWAN technology deployments is inherently challenging due to structural obstructions, occupant density and activities, and fluctuating environmental conditions.
• Accident Impact Prediction based on a deep convolutional and recurrent neural network model
  12 Nov 2024 1 repository listed
  The development of predictive models capable of real-time forecasting of post-accident impact using readily available data can play a crucial role in preventing adverse outcomes and enhancing overall safety.
• Reconstructing dynamics from sparse observations with no training on target system
  28 Oct 2024 1 repository listed Syntology ran 0 of 9 samples · 9 unverified
  The key idea is that, for a complex and nonlinear target system, the training of the transformer can be conducted not using any data from the target system, but with essentially unlimited synthetic data from known…
• Short-term Wind Speed Forecasting for Power Integration in Smart Grids based on Hybrid LSSVM-SVMD Method
  30 Aug 2024 1 repository listed
  Finally, the performance of the proposed model was compared against state-of-the-art benchmark models for forecasting wind speed using two separate data sets collected from a local wind farm.
• Generalization capabilities and robustness of hybrid models grounded in physics compared to purely deep learning models
  27 Apr 2024 1 repository listed
  This study investigates the generalization capabilities and robustness of purely deep learning (DL) models and hybrid models based on physical principles in fluid dynamics applications, specifically focusing on…
• Hybrid Machine Learning techniques in the management of harmful algal blooms impact
  14 Feb 2024 1 repository listed
  Harmful algal blooms (HABs) are episodes of high concentrations of algae that are potentially toxic for human consumption.
• A hybrid machine learning framework for clad characteristics prediction in metal additive manufacturing
  4 Jul 2023 1 repository listed
  The framework resolves many challenges of conventional modeling methods in MAM by solving t the issue of data scarcity using a hybrid approach and introducing an efficient, accurate, and scalable platform for clad…
• RISnet: A Scalable Approach for Reconfigurable Intelligent Surface Optimization with Partial CSI
  1 May 2023 1 repository listed
  Two major challenges of this problem are the high dimensionality due to the large number of RIS elements and the difficulty to obtain the full channel state information (CSI), which is assumed known in many algorithms…
• A Quantum Neural Network Regression for Modeling Lithium-ion Battery Capacity Degradation
  6 Feb 2023 1 repository listed
  Given the high power density low discharge rate and decreasing cost rechargeable lithium-ion batteries LiBs have found a wide range of applications such as power grid level storage systems electric vehicles and mobile…
• SEQUENT: Towards Traceable Quantum Machine Learning using Sequential Quantum Enhanced Training
  6 Jan 2023 1 repository listed
  However, as high-dimensional real-world applications are not yet feasible to be solved using purely quantum hardware, hybrid methods using both classical and quantum machine learning paradigms have been proposed.
• Predicting traffic crash severity using hybrid of balanced bagging classification and light gradient boosting machine
  1 Jan 2023 1 repository listed
  Accident severity prediction is a hot topic of research aimed at ensuring road safety as well as taking precautionary measures for anticipated future road crashes.
• Quo Vadis: Hybrid Machine Learning Meta-Model based on Contextual and Behavioral Malware Representations
  20 Aug 2022 1 repository listed
  The detection heuristic in contemporary machine learning Windows malware classifiers is typically based on the static properties of the sample since dynamic analysis through virtualization is challenging for vast…
• Electrical load forecasting using hybrid of extreme gradient boosting and light gradient boosting machine
  3 Mar 2022 1 repository listed
  Ensemble learning methods have been used to improve performance accuracy through bias-variance trade-off techniques.
• Machine learning discovery of new phases in programmable quantum simulator snapshots
  20 Dec 2021 1 repository listed Syntology ran 0 of 14 samples · 14 unverified
  Specifically, we apply Hybrid-CCNN to analyze new quantum phases on square lattices with programmable interactions.
• Hybrid Machine Learning Forecasts for the UEFA EURO 2020
  7 Jun 2021 1 repository listed
  Based on the resulting estimates, the tournament is simulated repeatedly and winning probabilities are obtained for all teams.
• A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical data
  13 May 2021 1 repository listed
  COVID-19 clinical presentation and prognosis are highly variable, ranging from asymptomatic and paucisymptomatic cases to acute respiratory distress syndrome and multi-organ involvement.
• Pandemic Drugs at Pandemic Speed: Infrastructure for Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computers
  4 Mar 2021 1 repository listed
  The race to meet the challenges of the global pandemic has served as a reminder that the existing drug discovery process is expensive, inefficient and slow.
• Hybrid Machine Learning Models of Classifying Residential Requests for Smart Dispatching
  22 Dec 2019 1 repository listed
  This paper presents a hybrid machine learning method of classifying residential requests in natural language to responsible departments that provide timely responses back to residents under the vision of digital…
• Sato: Contextual Semantic Type Detection in Tables
  14 Nov 2019 1 repository listed Syntology ran 1 of 10 samples · 9 unverified
  Detecting the semantic types of data columns in relational tables is important for various data preparation and information retrieval tasks such as data cleaning, schema matching, data discovery, and semantic search.
• A hybrid machine-learning algorithm for designing quantum experiments
  7 Dec 2018 1 repository listed
  We introduce a hybrid machine-learning algorithm for designing quantum optics experiments that produce specific quantum states.
• A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases
  17 Jun 2018 1 repository listed
  Automatic clinical diagnosis of retinal diseases has emerged as a promising approach to facilitate discovery in areas with limited access to specialists.

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.