Search Results - voting integration algorithm

Voting-based integration algorithm improves causal network learning from interventional and observational data: An application to cell signaling network inference by Sinha, Meghamala, Tadepalli, Prasad, Ramsey, Stephen A.

“…In order to increase statistical power for learning a causal network, data are often pooled from multiple observational and interventional experiments…”
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Rockburst Intensity Classification Prediction Based on Multi-Model Ensemble Learning Algorithms by Wang, Jiachuang, Ma, Haoji, Yan, Xianhang

“… At present, developing an accurate and reliable rockburst risk prediction model remains a great challenge due to the difficulty of integrating fusion algorithms to complement each other’s strengths…”
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A Novel Integration of Face-Recognition Algorithms with a Soft Voting Scheme for Efficiently Tracking Missing Person in Challenging Large-Gathering Scenarios by Nadeem, Adnan, Ashraf, Muhammad, Rizwan, Kashif, Qadeer, Nauman, AlZahrani, Ali, Mehmood, Amir, Abbasi, Qammer H.

“… We proposed a novel integration of face-recognition algorithms with a soft voting scheme, which was applied, on low-resolution cropped images of detected faces, in order to locate missing persons…”
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Integration of weighted majority voting in machine learning algorithms to enhance pine tree crown mapping on UAV imagery by Hosingholizade, Ali, Erfanifard, Yousef, Alavipanah, Seyed Kazem, Pirasteh, Saied, Garcia Millan, Virginia

“… Then, each image was classified separately by SVM, ANN and MLC algorithms, which are all part of Ensemble…”
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Voting-based integration algorithm improves causal network learning from interventional and observational data: an application to cell signaling network inference by Sinha, Meghamala, Tadepalli, Prasad, Ramsey, Stephen A

“…In order to increase statistical power for learning a causal network, data are often pooled from multiple observational and interventional experiments…”
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Concrete Crack Identification Framework Using Optimized Unet and I–V Fusion Algorithm for Infrastructure by Pan, Yuan, Zhou, Shuang-xi, Guan, Jing-yuan, Wang, Qing, Ding, Yang

“…Currently, most of the concrete crack detection models proposed mainly rely on a single deep learning method, whose performance is limited. To solve the…”
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Development and Validation of a Non-Invasive, Chairside Oral Cavity Cancer Risk Assessment Prototype Using Machine Learning Approach by Shimpi, Neel, Glurich, Ingrid, Rostami, Reihaneh, Hegde, Harshad, Olson, Brent, Acharya, Amit

“…Oral cavity cancer (OCC) is associated with high morbidity and mortality rates when diagnosed at late stages. Early detection of increased risk provides an…”
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FNNWV: farthest-nearest neighbor-based weighted voting for class-imbalanced crowdsourcing by Zhang, Wenjun, Jiang, Liangxiao, Chen, Ziqi, Li, Chaoqun

“…In crowdsourcing scenarios, we can hire crowd workers to label crowdsourced tasks and then use label integration algorithms to infer the integrated label for each instance in the tasks…”
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A Voting-Based Robust Estimator Aided by INS Redundancy for Tightly Coupled GNSS/INS Integration in Urban Environment by Jiang, Yingying, Zhu, Ni, Renaudin, Valerie

“… For this, an improved voting-based robust estimator (VBRE) algorithm assisted by the INS-derived measurement redundancy, is proposed for reasonable evaluation of satellite observation information, ensuring reliable integrated GNSS/INS solutions…”
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Experimental evaluation of two new GEP-based ensemble classifiers by Je, Joanna, Drzejowicz, Drzejowicz, Je, Piotr

“… Integration of genes (i.e. learners) is based on the majority voting. The proposed algorithms were validated experimentally using several datasets and the results were compared with those of other well established classification methods…”
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TAL-SRX: an intelligent typing evaluation method for KASP primers based on multi-model fusion by Chen, Xiaojing, Fan, Jingchao, Yan, Shen, Huang, Longyu, Zhou, Guomin, Zhang, Jianhua

“… However, the efficiency of both manual discrimination methods and existing algorithms is limited and cannot match the development speed of molecular markers…”
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Label augmented and weighted majority voting for crowdsourcing by Chen, Ziqi, Jiang, Liangxiao, Li, Chaoqun

“… To solve this problem, this paper proposes a novel label integration method called label augmented and weighted majority voting (LAWMV…”
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Research on fault diagnosis technology of heat meter based on multi classifier fusion of pigeon swarm algorithm by Yu, Shuchun, Tao, Jinjian, Liu, Jun, Miao, Yanshu

“… In the experiment, three kinds of integration models are obtained according to the voting mechanism and pigeon swarm algorithm…”
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Adaptive ensemble techniques leveraging BERT based models for multilingual hate speech detection in Korean and english by Yoo, Seohyun, Jeon, Eunbae, Hyeon, Joonseo, Cho, Jaehyuk

“… PMF test data are calculated using Majority Voting Integration or Weighted…”
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TIPS: A Framework for Text Summarising with Illustrative Pictures by Golec, Justyna, Hachaj, Tomasz, Sokal, Grzegorz

“…). TIPS is an algorithm using a voting process that uses results of individual “weak” algorithms. The proposed method includes a summarising algorithm that generates a digest of the input document…”
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Accurate and fast clustering of residential customer load curves based on bid-vote integration algorithm by Liu, Xiangxiang, Wang, Zongyao, Ding, Guili, Xu, Zhihao, Han, Wei, Kang, Bing

“…Cluster analysis as a new branch of statistics is receiving more and more attention. The number of studies using cluster analysis is also increasing, and its…”
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Enhancing Rainfall-Runoff Simulation in Data-Poor Watersheds: Integrating Remote Sensing and Hybrid Decomposition for Hydrologic Modelling by Riazi, Mostafa, Bateni, Sayed M, Jun, Changhyun, Farooque, Aitazaz Ahsan, Khosravi, Khabat, Abolfathi, Soroush

“…Accurate Rainfall-Runoff (R-R) modeling is essential for effective water resource management and flood mitigation, yet it remains challenging in data-scarce…”
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MapReduce FCM clustering set algorithm by Mbyamm Kiki, Mesmin J, Zhang, Jianbiao, Kouassi, Bonzou Adolphe

“…Fuzzy C-means clustering integration algorithm is a method to improve clustering quality by using integration ideas, but as the amount of data increases, its time complexity increases…”
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Coarse-to-fine vision-based localization by indexing scale-Invariant features by Junqiu Wang, Hongbin Zha, Cipolla, R.

“… localization from the location database using a voting algorithm is relatively slow, but more accurate…”
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Dynamic integration and online evaluation of vision-based lane detection algorithms by Xing, Yang, Lv, Chen, Wang, Huaji, Cao, Dongpu, Velenis, Efstathios

“… In this study, a vision-based lane detection system with dynamic integration and online evaluation is proposed…”
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