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Decision tree learning

Navigating decision space: Causal structure improves performance in a branching choice task

Andreas Arslan, Jonathan F. Kominsky

Mung bean seed classification based on multimodal features and Kepler-optimized stacking ensemble learning model

Shaozhong Song, Fengwei Leng, [ ... ], Yaxin Cai

Interpretable crop pest and disease identification based on comparative concept tree

Bingjing Jia, Zhiwei Zheng, [ ... ], Chenguang Song

Fast decision mechanism for ternary tree partitioning in VVC intra coding

Jiamin Sun, Zhongjie Zhu, Renwei Tu, Zhibo Xie

Toward leveraging intrinsic point cloud features in 3D adversarial attacks

Hanieh Naderi, Chinthaka Dinesh, Ivan V. Bajić, Shohreh Kasaei

A taxonomy for detecting and preventing temporal data leakage in machine learning-based build prediction: A dual-platform empirical validation

Lalit Narayan Mishra, Amit Rangari, Sandesh Nagrare, Saroj Kumar Nayak

Multi-task gradient boosting with multi-modal molecular representations for simultaneous prediction of drug clearance and volume of distribution

Gyu-Seong Lee, Hyeong-Gyu Choi, Dae-Keun Park, Hyo Young Kim

Estimation of soil salt content in the oasis tillage layer based on hyperspectral transformation and model combination

Yanping Guo, Xuemei Wang, [ ... ], Qian Zhang

Interpretable prediction of dynamic compressive strength of red sandstone under wetting-drying cycles using ensemble learning

Bin Du, Wei Qi, Haibo Bai

Revolutionizing nanosatellites’ data integrity with SEEnet: A real-time ensemble learning approach for Single-Event Effect (SEE) prediction

Sara Karim, Ekramul Haque Tusher, [ ... ], Khair Razlan Othman

Focusing on legal cases: Automatic classification of legal documents with sentence embeddings and deep learning models

Fawaz Khaled Alarfaj

Toward transparent intelligence: Explainable stacked ensembles learning for LiDAR point cloud segmentation

Afridi Rahman Bondhon, Emon Kumar Dey

Development of an exploratory prediction model for preoperative CK19 expression in esophageal cancer driven by radiomics and machine learning

Jiafu Yang, Sicheng Wang, [ ... ], Yangkang Li

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