• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 307 matches

• 2021
• 
  Chih-Fong Tsai, Wei-Chao Lin:
  Feature Selection and Ensemble Learning Techniques in One-Class Classifiers: An Empirical Study of Two-Class Imbalanced Datasets. IEEE Access 9: 13717-13726 (2021)
• 
  Chyh-Ming Lai, Hsin-Ping Huang:
  A gene selection algorithm using simplified swarm optimization with multi-filter ensemble technique. Appl. Soft Comput. 100: 106994 (2021)
• 
  Feng Shen, Xingchao Zhao, Gang Kou, Fawaz E. Alsaadi:
  A new deep learning ensemble credit risk evaluation model with an improved synthetic minority oversampling technique. Appl. Soft Comput. 98: 106852 (2021)
• 
  Connor Glosser, Elliot Lu, T. J. Bertus, Carlo Piermarocchi, Balasubramaniam Shanker:
  Acceleration techniques for semiclassical Maxwell-Bloch systems: An application to discrete quantum dot ensembles. Comput. Phys. Commun. 258: 107500 (2021)
• 
  Ioannis E. Livieris, Lazaros Iliadis, Panayiotis E. Pintelas:
  On ensemble techniques of weight-constrained neural networks. Evol. Syst. 12(1): 155-167 (2021)
• 
  Hongquan Guo, Hoang Nguyen, Xuan-Nam Bui, Danial Jahed Armaghani:
  A new technique to predict fly-rock in bench blasting based on an ensemble of support vector regression and GLMNET. Eng. Comput. 37(1): 421-435 (2021)
• 
  Zhice Fang, Yi Wang, Ling Peng, Haoyuan Hong:
  A comparative study of heterogeneous ensemble-learning techniques for landslide susceptibility mapping. Int. J. Geogr. Inf. Sci. 35(2): 321-347 (2021)
• 
  Decui Liang, Bochun Yi:
  Two-stage three-way enhanced technique for ensemble learning in inclusive policy text classification. Inf. Sci. 547: 271-288 (2021)
• 
  Congcong Zhang, Sung-Kwun Oh, Zunwei Fu:
  Design of stabilized polynomial-based ensemble fuzzy neural networks based on heterogeneous neurons and synergy of multiple techniques. Inf. Sci. 542: 425-452 (2021)
• 
  Prem Kumar Chandrakar, Akhilesh Kumar Shrivas, Neelam Sahu:
  Design of a Novel Ensemble Model of Classification Technique for Gene-Expression Data of Lung Cancer with Modified Genetic Algorithm. EAI Endorsed Trans. Pervasive Health Technol. 7(25): e2 (2021)
• 
  Zhice Fang, Yi Wang, Gonghao Duan, Ling Peng:
  Landslide Susceptibility Mapping Using Rotation Forest Ensemble Technique with Different Decision Trees in the Three Gorges Reservoir Area, China. Remote. Sens. 13(2): 238 (2021)
• 
  Vikas Chaurasia, Saurabh Pal:
  Stacking-Based Ensemble Framework and Feature Selection Technique for the Detection of Breast Cancer. SN Comput. Sci. 2(1): 67 (2021)
• 
  Rayed AlGhamdi, Azra Aziz, Mohammed Alshehri, Kamal Raj Pardasani, Tarique Aziz:
  Deep learning model with ensemble techniques to compute the secondary structure of proteins. J. Supercomput. 77(5): 5104-5119 (2021)
• 
  Jaouhar Fattahi, Mohamed Mejri:
  SpaML: a Bimodal Ensemble Learning Spam Detector based on NLP Techniques. CSP 2021: 107-112
• 
  Yoga Pristyanto, Anggit Ferdita Nugraha, Irfan Pratama, Akhmad Dahlan, Lucky Adhikrisna Wirasakti:
  Dual Approach to Handling Imbalanced Class in Datasets Using Oversampling and Ensemble Learning Techniques. IMCOM 2021: 1-7
• 
  Lucia Minah Yang, Ian G. Grooms:
  Machine Learning Techniques to Construct Patched Analog Ensembles for Data Assimilation. CoRR abs/2103.00318 (2021)
• 2020
• 
  Sani Isah Abba, Nguyen Thi Thuy Linh, Jazuli Abdullahi, Shaban Ismael Albrka Ali, Quoc Bao Pham, Rabiu Aliyu Abdulkadir, Romulus Costache, Van Thai Nam, Duong Tran Anh:
  Hybrid Machine Learning Ensemble Techniques for Modeling Dissolved Oxygen Concentration. IEEE Access 8: 157218-157237 (2020)
• 
  Mohammad Alojail, Surbhi Bhatia:
  A Novel Technique for Behavioral Analytics Using Ensemble Learning Algorithms in E-Commerce. IEEE Access 8: 150072-150080 (2020)
• 
  Dan Xue, Xiaomin Zhou, Chen Li, Yudong Yao, Md Mamunur Rahaman, Jinghua Zhang, Hao Chen, Jinpeng Zhang, Shouliang Qi, Hongzan Sun:
  An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification. IEEE Access 8: 104603-104618 (2020)
• 
  Pooja S. B., R. V. Siva Balan, Anisha M., M. S. Muthukumaran, Jothikumar R.:
  Techniques Tanimoto correlated feature selection system and hybridization of clustering and boosting ensemble classification of remote sensed big data for weather forecasting. Comput. Commun. 151: 266-274 (2020)
• 
  Hong Xu, Yuan He, Xiang Sun, Jia He, Qiongmei Xu:
  Prediction of thermal energy inside smart homes using IoT and classifier ensemble techniques. Comput. Commun. 151: 581-589 (2020)
• 
  Sushant Kumar Pandey, Ravi Bhushan Mishra, Anil Kumar Tripathi:
  BPDET: An effective software bug prediction model using deep representation and ensemble learning techniques. Expert Syst. Appl. 144: 113085 (2020)
• 
  Michael Mary Adline Priya, S. Joseph Jawhar:
  Advanced lung cancer classification approach adopting modified graph clustering and whale optimisation-based feature selection technique accompanied by a hybrid ensemble classifier. IET Image Process. 14(10): 2204-2215 (2020)
• 
  Gagandeep Kaur, Meenal Jain:
  A comparison of two blending-based ensemble techniques for network anomaly detection in Spark distributed environment. Int. J. Ad Hoc Ubiquitous Comput. 35(2): 71-83 (2020)
• 
  Wasiur Rhmann, Gufran Ahmad Ansari:
  Ensemble Techniques-Based Software Fault Prediction in an Open-Source Project. Int. J. Open Source Softw. Process. 11(2): 33-48 (2020)
• 
  Pranav D. Raval, A. S. Pandya:
  A Novel Fault Classification Technique in Series Compensated Transmission Line using Ensemble Method. Int. J. Pattern Recognit. Artif. Intell. 34(4): 2050009:1-2050009:18 (2020)
• 
  Ameema Zainab, Shady S. Refaat, Othmane Bouhali:
  Ensemble-Based Spam Detection in Smart Home IoT Devices Time Series Data Using Machine Learning Techniques. Inf. 11(7): 344 (2020)
• 
  Gagandeep Kaur:
  A comparison of two hybrid ensemble techniques for network anomaly detection in spark distributed environment. J. Inf. Secur. Appl. 55: 102601 (2020)
• 
  Alpana, Satish Chand:
  An intelligent technique for the characterization of coal microscopic images using ensemble learning. J. Intell. Fuzzy Syst. 38(5): 6257-6267 (2020)
• 
  R. Aravind Vasudev, B. Anitha, G. Manikandan, B. Karthikeyan, Logesh Ravi, V. Subramaniyaswamy:
  Heart disease prediction using stacked ensemble technique. J. Intell. Fuzzy Syst. 39(6): 8249-8257 (2020)

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