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141

Incorporating Long-term Data in Training Short-term Traffic Prediction Model
Huang, Xiannan ; Qiu, Shuhan ; Cheng, Yan ; et al.

Computer Science - Machi...
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142

A cascaded machine learning model for identification of ship breach characteristics during flooding using sensor data fusion
Diao, Jiayu ; Gao, Zhiliang ; Wang, Wenjie
In Reliability Engineering and System Safety March 2026 267 Part B

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143

Preparing multi-layered visualisations of Old Babylonian cuneiform tablets for a machine learning OCR training model towards automated sign recognition
Hameeuw, Hendrik ; De Graef, Katrien ; Smidt, Gustav Ryberg ; et al.
it - Information Technology. 65(6):229-242

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144

Detecting Training Data of Large Language Models via Expectation Maximization
Kim, Gyuwan ; Li, Yang ; Spiliopoulou, Evangelia ; et al.

Computer Science - Compu... Computer Science - Artif... Computer Science - Crypt... Computer Science - Machi...
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145

A strategy for preparing training data for machine learning for seismic noise reduction
Zhang, Bo ; Wu, Hao ; Yao, Jiashun ; et al.
In Geoenergy Science and Engineering July 2025 250

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146

Retrieving fine-grained diatom classifications from deep learning models trained on coarse-grained data by over-clustering
Abdelmguid, Dina ; Kloster, Michael ; Beszteri, Bánk
Biodiversity and Conservation. 35(1)

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147

Machine learning data sources in pediatric sleep research: assessing racial/ethnic differences in electronic health record–based clinical notes prior to model training
Mattina A. Davenport ; Joseph W. Sirrianni ; Deena J. Chisolm
Front Sleep
Frontiers in Sleep, Vol 3 (2024)

equity primary care 03 medical and health sc... machine learning 0302 clinical medicine public health …
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148

Tracing Privacy Leakage of Language Models to Training Data via Adjusted Influence Functions
Liu, Jinxin ; Yang, Zao

Computer Science - Machi... Computer Science - Compu... Computer Science - Crypt...
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149

Robust ML model ensembles via risk-driven anti-clustering of training data
Mauri, Lara ; Apolloni, Bruno ; Damiani, Ernesto
In Information Sciences July 2023 633:122-140

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150

Buried Object Classification from GPR Data by using Second Order Deep Learning Models
Jafuno, Douba ; Mian, Ammar ; Ginolhac, Guillaume ; et al.
International Geoscience and Remote Sensing Symposium (IGARSS), IEEE, Jul 2024, Athenes, Greece

Athenes, Greece GPR Classification of buried... covariance matrices CNN [SPI.SIGNAL]Engineering... …
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151

Weakly Supervised Deep Learning for Arabic Tweet Sentiment Analysis on Education Reforms: Leveraging Pre-Trained Models and LLMs With Snorkel
Alanoud Alotaibi ; Farrukh Nadeem ; Mohamed Hamdy
IEEE Access, Vol 13, Pp 30523-30542 (2025)

AraBERT large language models Electrical engineering.... natural language process... weakly training data social media data …
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153

Semantically redundant training data removal and deep model classification performance: A study with chest X-rays
Rajaraman, Sivaramakrishnan ; Zamzmi, Ghada ; Yang, Feng ; et al.
In Computerized Medical Imaging and Graphics July 2024 115

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154

Synthetic data generation for machine learning model training for energy theft scenarios using cosimulation
Anantha Narayanan ; Trevor Hardy
IET Generation, Transmission & Distribution, Vol 17, Iss 5, Pp 1035-1046 (2023)

TK1001-1841 Production of electric e... Distribution or transmis... 0211 other engineering a... 0202 electrical engineer... TK3001-3521 …
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155

Is Child-Directed Speech Effective Training Data for Language Models?
Feng, Steven Y. ; Goodman, Noah D. ; Frank, Michael C.

Computer Science - Compu... Computer Science - Artif... Computer Science - Machi...
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156

Prediction of solar radiation as a function of particulate matter pollution and meteorological data using machine learning models
Aladwani, Suad M. ; Almutairi, Abdulla ; Alolayan, Mohammad A. ; et al.
In Journal of Engineering Research December 2025 13(4):2818-2825

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157

Machine Learning for Failure Management in Microwave Networks: A Data-Centric Approach
Nicola Di Cicco ; Memedhe Ibrahimi ; Francesco Musumeci ; et al.
IEEE Transactions on Network and Service Management. 21:5420-5431

Costs Data models Failure analysis Failure Management Hardware Labeling …
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158

Deep learning and abstractive summarisation for radiological reports: an empirical study for adapting the PEGASUS models' family with scarce data
Benzoni, Claudio ; Langhals, Martina ; Boeker, Martin ; et al.

Computation and Language Artificial Intelligence Machine Learning
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159

Strategies for designing machine learning models in renewable energy with insufficient data
E, Hanyu ; Cui, Ye ; Pedrycz, Witold ; et al.
In Energy 1 December 2024 311

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160

Hybrid deep learning approach concatenating CNN with supervised learning models for the tool wear prediction based on the analysis of tool wear image and temporal relationship among the cutting parameters
Arif, Abdul ; Rao, Ponugoti Gangadhara ; Prasad, Kalapala
The International Journal of Advanced Manufacturing Technology. 141(9-10):5603-5624

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