- Elzbieta Turska, Szymon Jurga, Jaroslaw Piskorski:
Mood Disorder Detection in Adolescents by Classification Trees, Random Forests and XGBoost in Presence of Missing Data. Entropy 23(9): 1210 (2021) - Christopher Wills, Bin Wang, Shuai Fang, Yunquan Wang, Yi Jin, James A. Lutz, Jill Thompson, Kyle E. Harms, Sandeep Pulla, Bonifacio Pasion, Sara Germain, Heming Liu, Joseph Smokey, Sheng-Hsin Su, Nathalie Butt, Chengjin Chu, George Chuyong, Chia-Hao Chang-Yang, H. S. Dattaraja, Stuart Davies, Sisira Ediriweera, Shameema Esufali, Christine Dawn Fletcher, Nimal Gunatilleke, Savi Gunatilleke, Chang-Fu Hsieh, Fangliang He, Stephen Hubbell, Zhanqing Hao, Akira Itoh, David Kenfack, Buhang Li, Xiankun Li, Keping Ma, Michael Morecroft, Xiangcheng Mi, Yadvinder Malhi, Perry Ong, Lillian Jennifer Rodriguez, H. S. Suresh, I Fang Sun, Raman Sukumar, Sylvester Tan, Duncan Thomas, María Uriarte, Xihua Wang, Xugao Wang, T. L. Yao, Jess Zimmermann:
Interactions between all pairs of neighboring trees in 16 forests worldwide reveal details of unique ecological processes in each forest, and provide windows into their evolutionary histories. PLoS Comput. Biol. 17(4) (2021) - Haiming Qin, Weiqi Zhou, Yang Yao, Weimin Wang:
Estimating Aboveground Carbon Stock at the Scale of Individual Trees in Subtropical Forests Using UAV LiDAR and Hyperspectral Data. Remote. Sens. 13(24): 4969 (2021) - Géraldin Nanfack, Valentin Delchevalerie, Benoît Frénay:
Boundary-Based Fairness Constraints in Decision Trees and Random Forests. ESANN 2021 - Egor Dudyrev, Sergei O. Kuznetsov:
Decision Concept Lattice vs. Decision Trees and Random Forests. ICFCA 2021: 252-260 - Gaël Aglin, Siegfried Nijssen, Pierre Schaus:
Assessing Optimal Forests of Decision Trees. ICTAI 2021: 32-39 - Mounir Atiq, Sergio Peignier, Mathilde Mougeot:
Constrained prediction time random forests using equivalent trees and genetic programming: application to fall detection model embedding. ICTAI 2021: 690-697 - Thao-Trang Huynh-Cam, Zi-Jie Luo, Long-Sheng Chen:
Using Random Forests and Decision Trees to Predict Viewing Game Live Streaming via Viewers' Comments. TAAI 2021: 270-274 - Jinxiong Zhang:
Dive into Decision Trees and Forests: A Theoretical Demonstration. CoRR abs/2101.08656 (2021) - Rafael A. Melo, Celso C. Ribeiro:
Maximum weighted induced forests and trees: New formulations and a computational comparative review. CoRR abs/2102.09194 (2021) - Siyu Zhou, Lucas Mentch:
Trees, Forests, Chickens, and Eggs: When and Why to Prune Trees in a Random Forest. CoRR abs/2103.16700 (2021) - Egor Dudyrev, Sergei O. Kuznetsov:
Decision Concept Lattice vs. Decision Trees and Random Forests. CoRR abs/2106.00387 (2021) - Haoyin Xu, Jayanta Dey, Sambit Panda, Joshua T. Vogelstein:
Streaming Decision Trees and Forests. CoRR abs/2110.08483 (2021) - 2020
- Jennifer Gabrys:
Smart forests and data practices: From the Internet of Trees to planetary governance. Big Data Soc. 7(1): 205395172090487 (2020) - Thomas M. Hehn, Julian F. P. Kooij, Fred A. Hamprecht:
End-to-End Learning of Decision Trees and Forests. Int. J. Comput. Vis. 128(4): 997-1011 (2020) - Christoph Aoun, Elie A. Shammas, Naseem A. Daher:
Energy-Optimal Tours for Quadrotors to Scan Moth-Infested Trees in Densely-Packed Forests. ACC 2020: 58-63 - Vasilis Syrgkanis, Manolis Zampetakis:
Estimation and Inference with Trees and Forests in High Dimensions. COLT 2020: 3453-3454 - Miguel Á. Carreira-Perpiñán, Arman Zharmagambetov:
Ensembles of Bagged TAO Trees Consistently Improve over Random Forests, AdaBoost and Gradient Boosting. FODS 2020: 35-46 - Marco Carnini, Alessandro Pastore:
Trees and Forests in Nuclear Physics. CoRR abs/2002.10290 (2020) - John Brandt, Fred Stolle:
A global method to identify trees inside and outside of forests with medium-resolution satellite imagery. CoRR abs/2005.08702 (2020) - Vasilis Syrgkanis, Manolis Zampetakis:
Estimation and Inference with Trees and Forests in High Dimensions. CoRR abs/2007.03210 (2020) - Jiang Zhang, Ivan Beschastnikh, Sergey Mechtaev, Abhik Roychoudhury:
Fairness-guided SMT-based Rectification of Decision Trees and Random Forests. CoRR abs/2011.11001 (2020) - 2019
- Kazuhiro Suzuki:
(g, f)-Chromatic spanning trees and forests. Australas. J Comb. 74: 196-209 (2019) - Michitaka Furuya, Takamasa Yashima:
The existence of f-forests and f-trees in graphs. Discret. Appl. Math. 254: 113-123 (2019) - Florian Adriaens, Jefrey Lijffijt, Tijl De Bie:
Subjectively interesting connecting trees and forests. Data Min. Knowl. Discov. 33(4): 1088-1124 (2019) - Murad Badarna, Ilan Shimshoni:
Selective sampling for trees and forests. Neurocomputing 358: 93-108 (2019) - Cyrus Cousins, Matteo Riondato:
CaDET: interpretable parametric conditional density estimation with decision trees and forests. Mach. Learn. 108(8-9): 1613-1634 (2019) - Zenon A. Sosnowski, Lukasz Gadomer:
Fuzzy trees and forests - Review. WIREs Data Mining Knowl. Discov. 9(6) (2019) - Tharindu Adikari, Stark C. Draper:
Efficient learning of neighbor representations for boundary trees and forests. CISS 2019: 1-6