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  • Suche: Training Data for Machine Learning Models

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1

A New Strategy for Artificial Intelligence: Training Foundation Models Directly on Human Brain Data
Donoso, Maël ; Ouroboros Neurotechnologies

foundation models brain neuroimaging brain-generated data brain-trained foundation... reinforcement learning f... …
E-Ressource
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2

Data Glitches Discovery using Influence-based Model Explanations
Détection d’anomalies de données à l’aide d’explications de modèles basées sur l’influence
Myrtakis, Nikolaos ; Tsamardinos, Ioannis ; Christophides, Vassilis ; et al.
KDD '25: The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. :1068-1079

Toronto, Canada Training Data Debugging... Training Data Debugging Data Debugging for ML Mislabeled Samples Anomalies …
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4

Industrial Object Detection: Leveraging Synthetic Data for Training Deep Learning Models
Ouarab, Sarah ; Boutteau, Rémi ; Romeo, Katerine ; et al.
2024 The 11th International Conference on Industrial Engineering and Applications - proceedings of 2024 The 5th International Conference on Industrial Engineering and Industrial Management (IEIM 2024), Jan 2024, Nice, France

Nice, France Synthetic data Deep Learning Detection models Industrial Objects [INFO.INFO-AI]Computer S... …
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5

Model Training, Data Assimilation, and Forecast Experiments with a Hybrid Atmospheric Model that Incorporates Machine Learning
Elliott, Dylan ; Arcomano, Troy ; Szunyogh, Istvan ; et al.

Chaotic Dynamics Geophysics Applications
Report
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7

Cluster-Graph Fingerprinting: A Framework for Quantitative Analysis of Machine-Learned Interatomic Model Training and Simulation Data
Laubach, Benjamin R. ; Lordi, Vincenzo ; Lindsey, Rebecca K.
Journal of Chemical Information and Modeling. 66(1):182-193

Fachzeitschrift
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8

Towards Effective Datasets for Training Data-driven Models for Smart Grid Security Assessment
Cuenca, Juan, J ; Aldea, Emanuel ; Le Guern-Dall'o, Eloann ; et al.
PGMODAYS 2024, Nov 2024, Palaiseau, France

Palaiseau, France Smart Grids Data-driven Methods Security Assessment Training Data [SPI.NRJ]Engineering Sci... …
Konferenz
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9

tanh As a robust feature scaling method in training deep learning models with imbalanced data
Yang, Aijia ; Zhang, Min ; Chen, Huai ; et al.
In Pattern Recognition November 2025 167

Fachzeitschrift
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10

Analysis of LiDAR Data Classification According to Training Data Configuration of Transformer Deep Learning Model
JaeHyoung Lim ; Kyung-Wan Son ; Kyonghwi Kim ; et al.
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography. 43:305-319

Fachzeitschrift
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12

An adjoint method for training data-driven reduced-order models
Liu, Donglin ; Atienza, Francisco García ; Guo, Mengwu

Computational Engineerin... Machine Learning Numerical Analysis
Report
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13

Training Dataset Expansion Method for Helicopter Dashboard Detection Model via Virtual Simulation Based Synthetic Data
Han, Gyuhyeon ; Moon, Jae-yun ; Sim, Young-jun ; et al.
International Journal of Aeronautical and Space Sciences. 27(1):943-954

Fachzeitschrift
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15

Analyzing the Impact of Training Data Availability on Machine Learning Models Accuracy for Regional Photovoltaic Production Forecast
Taheri N. ; Piazzi A. ; Tucci M.
2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI). :636-641

Ensemble methods Machine learning models PV power forecasting Regional level
Fachzeitschrift
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16

Memories Retrieved from Many Paths: A Multi-Prefix Framework for Robust Detection of Training Data Leakage in Large Language Models
Dang, Trung Cuong ; Mohaisen, David

Computation and Language Artificial Intelligence Cryptography and Securit... Machine Learning
Report
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17

Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models
More, Riddhi ; Bradbury, Jeremy S.

Computer Science - Softw... Computer Science - Artif... D.2.5 I.2.7
Report
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18

Learning UAV-Based Above-Ground Biomass Regression Models in Sparse Training Data Environments
Kröber, F. ; Garcia, G. Fernandez ; Guiotte, F. ; et al.
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. :3322-3325

Pasadena, United States UAV transfer learning semi-supervised learning deep learning vegetation biomass regre... …
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19

Instance segmentation of oyster mushroom datasets: A novel data sampling methodology for training and evaluation of deep learning models
Charisis, Christos ; Wang, Meiqing ; Argyropoulos, Dimitrios
In Smart Agricultural Technology December 2025 12

Fachzeitschrift
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20

Hybrid Data can Enhance the Utility of Synthetic Data for Training Anti-Money Laundering Models
Chung, Rachel ; Sharma, Pratyush Nidhi ; Siponen, Mikko ; et al.

Machine Learning
Report
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