Results 181 to 190 of about 85,077 (292)

Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making

, 2019
Sina Aghaei, Mohammad Javad Azizi, Phebe Vayanos   +2 more
openalex   +4 more sources

Body Weight Estimation in Holstein × Zebu Crossbred Heifers: Comparative Analysis of XGBoost and LightGBM Algorithms. [PDF]

Vet Med Sci
Herrera-Camacho J, Tırınk C, Parra-Cortés RI, Bayyurt L, Uskenov R, Omarova K, Makhanbetova A, Chekirov K, Chay-Canul AJ.   +8 more
europepmc   +1 more source

Solving multiple-instance and multiple-part learning problems with decision trees and decision rules. Application to the mutagenesis problem

, 2000
Jean‐Daniel Zucker, Yann Chevaleyre
openalex   +1 more source

Learning in data-limited multimodal scenarios: Scandent decision forests and tree-based features

, 2016
Soheil Hor, Mehdi Moradi
openalex   +2 more sources

deepTFBS: Improving within‐ and Cross‐Species Prediction of Transcription Factor Binding Using Deep Multi‐Task and Transfer Learning

Advanced Science, EarlyView.
DeepTFBS leverages deep learning to predict transcription factor binding sites across species, integrating multi‐task and transfer learning approaches to improve performance in data‐scarce scenarios. This study demonstrates enhanced accuracy in intra‐ and cross‐species prediction, revealing conserved regulatory patterns and functional variants.
Jingjing Zhai, Yuzhou Zhang, Chujun Zhang, Xiaotong Yin, Minggui Song, Chenglong Tang, Pengjun Ding, Zenglin Li, Chuang Ma   +8 more
wiley   +1 more source

Predicting Weaning Weight of Romanov Lambs From Biometric Measurements Before Weaning Age Using Machine Learning Algorithms. [PDF]

Vet Med Sci
Eroğlu M, Turgut AO, Küçük M, Önen MF.   +3 more
europepmc   +1 more source

Structural Monitoring with Distributed-Regional and Event-based NN-Decision Tree Learning Using Mobile Multi-Agent Systems and Common Java Script Platforms

, 2016
Stefan Bosse
openalex   +1 more source

Implementation of the c4.5 decision tree learning algorithm for sentiment analysis in e-commerce application reviews on google play store

, 2021
Asrina Yuni Ikhsanti, Yuli Fauziah, Rifki Indra Perwira   +2 more
openalex   +2 more sources

Targeted Intervention Strategies for Maternal–Offspring Transmission of Christensenellaceae in Pigs via a Deep Learning Model

Advanced Science, EarlyView.
This study deciphers maternal‐driven microbial transmission in pigs using a deep learning model (maternal–offspring microbial transmission model), identifying Christensenellaceae R‐7 group as a key transmitted taxon. Filtered galacto‐oligosaccharides‐targeted Christensenellaceae R‐7 group alters offspring microbial functions via maternal ...
Haibo Shen, Xiaokang Ma, Longlin Zhang, Hao Li, Jichang Zheng, Shengru Wu, Ke Zuo, Yulong Yin, Jing Wang, Bie Tan   +9 more
wiley   +1 more source

Machine learning-driven imaging data for early prediction of lung toxicity in breast cancer radiotherapy. [PDF]

Sci Rep
Ungvári T, Szabó D, Győrfi A, Dankovics Z, Kiss B, Olajos J, Tőkési K.   +6 more
europepmc   +1 more source