The return of AdaBoost.MH: multi-class Hamming trees

20 December 2013

Papers citing "The return of AdaBoost.MH: multi-class Hamming trees"

11 / 11 papers shown

Title
Two new feature selection methods based on learn-heuristic techniques for breast cancer prediction: A comprehensive analysis Kamyab Karimi A. Ghodratnama R. Tavakkoli-Moghaddam 44 3 0 19 Jul 2024
Smart OMVI: Obfuscated Malware Variant Identification using a novel dataset Suleman Qamar AAML 25 0 0 24 Sep 2023
Multiclass Boosting: Simple and Intuitive Weak Learning Criteria Nataly Brukhim Amit Daniely Yishay Mansour Shay Moran CLL 67 7 0 02 Jul 2023
Improving Link Prediction in Social Networks Using Local and Global Features: A Clustering-based Approach S. Ghasemi Ahmad Zarei 64 7 0 17 May 2023
Effective training-time stacking for ensembling of deep neural networks P. Proskura Alexey Zaytsev 36 7 0 27 Jun 2022
Classification of Buildings' Potential for Seismic Damage by Means of Artificial Intelligence Techniques K. Kostinakis K. Morfidis Konstantinos Demertzis L. Iliadis AI4CE 23 1 0 06 Apr 2022
A Comparative Evaluation of Machine Learning Algorithms for the Prediction of R/C Buildings' Seismic Damage Konstantinos Demertzis K. Kostinakis K. Morfidis L. Iliadis 20 5 0 25 Mar 2022
Optical Transient Object Classification in Wide Field Small Aperture Telescopes with Neural Networks P. Jia Yifei Zhao Gang Xue Dongmei Cai 56 20 0 29 Apr 2019
Generative Adversarial Network with Multi-Branch Discriminator for Cross-Species Image-to-Image Translation Ziqiang Zheng Zhibin Yu Haiyong Zheng Yang Wu Bing Zheng Ping Lin GAN 52 4 0 24 Jan 2019
Generating Analytic Insights on Human Behaviour using Image Processing Namit Juneja R. Muthu 27 1 0 21 Nov 2017
Distributed and parallel time series feature extraction for industrial big data applications Maximilian Christ A. Kempa-Liehr M. Feindt AI4TS 150 273 0 25 Oct 2016