- Enhanced brain tumor detection and segmentation using densely connected convolutional networks with stacking ensemble learning
2025/01/24 by Asadullah Shaikh, Samina Amin, Muhammad Ali Zeb +3 · 7 citations
Computer Science · Neuroscience · #Advanced Neural Network Applications #Artificial intelligence #Brain Tumor Detection and Classification #Computer science #Convolutional neural network #Ensemble learning #Machine Learning and ELM #Nuclear magnetic resonance #Pattern recognition (psychology) #Physics #Segmentation #Stacking
- Predictive performance of presence‐only species distribution models: a benchmark study with reproducible code
2021/10/08 by Roozbeh Valavi, Gurutzeta Guillera‐Arroita, José J. Lahoz‐Monfort +1 · 110 citations
Environmental Science · Mathematics · #Artificial intelligence #Benchmark (surveying) #Cartography #Code (set theory) #Computer science #Contrast (vision) #Data mining #Data set #Ecology #Ecology and Vegetation Dynamics Studies #Ensemble forecasting #Ensemble learning #Environmental niche modelling #Field (mathematics) #Geography #Machine learning #Mathematics #Predictive modelling #Random forest #Rank (graph theory) #Set (abstract data type) #Species Distribution and Climate Change #Support vector machine #Wildlife Ecology and Conservation
- Ensemble deep learning: A review
2021/04/30 by M.A. Ganaie, M. A. Ganaie, Minghui Hu +5 · 53 citations
Computer Science · Mathematics · #Anomaly Detection Techniques and Applications #Artificial intelligence #Boosting (machine learning) #Computer science #Deep learning #Domain Adaptation and Few-Shot Learning #Ensemble forecasting #Ensemble learning #Generalization #Machine Learning and ELM #Machine learning #Mathematics
- Multi-Disease Detection in Retinal Imaging based on Ensembling Heterogeneous Deep Learning Models
2021/03/26 by Dominik Müller, Iñaki Soto‐Rey, Müller, Dominik +3 · 1 citation
Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial intelligence #Computer science #Convolutional neural network #Deep learning #Digital Imaging for Blood Diseases #Ensemble learning #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine learning #Medicine #Pipeline (software) #Radiology #Reliability (semiconductor) #Retinal Imaging and Analysis #Retinal and Optic Conditions #Transfer of learning #Weighting #electronic engineering #information engineering
- A Deep Reinforcement Learning Chatbot
2017/09/07 by Iulian Vlad Serban, Iulian V. Serban, Serban, Iulian V. +37 · 1 voice · 30 citations
Computer Science · Mathematics · #Artificial intelligence #Artificial neural network #Chatbot #Computer science #Deep learning #Ensemble learning #Machine learning #Mobile Crowdsensing and Crowdsourcing #Natural language processing #Reinforcement learning #Sequence (biology) #Speech and dialogue systems #Topic Modeling #cs.AI #cs.CL #cs.LG #cs.NE #stat.ML
- Ensemble learning for data stream analysis: A survey
2017/02/03 by Bartosz Krawczyk, Leandro L. Minku, João Gama +2 · 3 citations
Computer Science · #Anomaly Detection Techniques and Applications #Artificial intelligence #Computer science #Concept drift #Data Stream Mining Techniques #Data mining #Data stream #Data stream mining #Ensemble learning #Machine learning #Novelty #Novelty detection #Process (computing) #Streaming data #Time Series Analysis and Forecasting
- Classifier Ensembles for Changing Environments
2004/01/01 by Ludmila I. Kuncheva · 5 citations
Computer Science · Psychology · #Anomaly Detection Techniques and Applications #Artificial intelligence #Classifier (UML) #Computer science #Data Stream Mining Techniques #Ensemble learning #Forgetting #Machine Learning and Data Classification #Machine learning #Psychology
- Ensembling neural networks: Many could be better than all
2002/05/01 by Zhi‐Hua Zhou, Zhi-Hua Zhou, Jianxin Wu +1 · 84 citations
Computer Science · Mathematics · #Artificial intelligence #Artificial neural network #Boosting (machine learning) #Computer science #Ensemble learning #Face and Expression Recognition #Generalization #Machine Learning and Data Classification #Machine learning #Mathematics #Neural Networks and Applications #Neural ensemble #Variance (accounting)
- A streaming ensemble algorithm (SEA) for large-scale classification
2001/08/26 by W. Nick Street, YongSeog Kim · 5 citations
Computer Science · #Data Stream Mining Techniques #Machine Learning and Data Classification #Anomaly Detection Techniques and Applications #Computer science #Boosting (machine learning) #Resampling #Machine learning #Decision tree #Artificial intelligence #Concept drift #Data mining #Ensemble learning #Scale (ratio) #Heuristic #Streaming data #Context (archaeology) #Statistical classification #Data stream mining
- Full-process modeling and optimization of slag-centrifugal granulation via integrated computational fluid dynamics and ensemble learning algorithms
2026/07/24 by Xiangyu Song, S K Wang, Shuoyang Wang +3
Engineering · #Computational fluid dynamics #Dynamics (music) #Ensemble forecasting #Ensemble learning #Granular flow and fluidized beds #Granulation #Metallurgical Processes and Thermodynamics #Mineral Processing and Grinding #Optimization algorithm