• 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 1,012 matches

• 2021
• 
  Seunghyeok Back, Seongju Lee, Sungho Shin, Yeonguk Yu, Taekyeong Yuk, Saepomi Jong, Seungjun Ryu, Kyoobin Lee:
  Robust Skin Disease Classification by Distilling Deep Neural Network Ensemble for the Mobile Diagnosis of Herpes Zoster. IEEE Access 9: 20156-20169 (2021)
• 2020
• 
  Pratik Dutta, Sriparna Saha, Saraansh Chopra, Varnika Miglani:
  Ensembling of Gene Clusters Utilizing Deep Learning and Protein-Protein Interaction Information. IEEE ACM Trans. Comput. Biol. Bioinform. 17(6): 2005-2016 (2020)
• 2018
• 
  Patrick Gralka, Sebastian Grottel, Joachim Staib, Karsten Schatz, Grzegorz Karol Karch, Manuel Hirschler, Michael Krone, Guido Reina, Stefan Gumhold, Thomas Ertl:
  2016 IEEE Scientific Visualization Contest Winner: Visual and Structural Analysis of Point-based Simulation Ensembles. IEEE Computer Graphics and Applications 38(3): 106-117 (2018)
• 2017
• 
  Chen Wu, Ming Yan, Luo Si:
  Ensemble Methods for Personalized E-Commerce Search Challenge at CIKM Cup 2016. CoRR abs/1708.04479 (2017)
• 2016
• 
  Tarek Abdunabi:
  A Framework for Ensemble Predictive Modeling. University of Waterloo, Ontario, Canada, 2016
• 
  Robert M. Van Camp:
  Using Diversity Ensembles with Time Limits to Handle Concept Drift. Nova Southeastern University, Fort Lauderdale, Florida, USA, 2016
• 
  Justin Heinermann:
  Wind Power Prediction with Machine Learning Ensembles. University of Oldenburg, Germany, 2016
• 
  Annabelle Klarl:
  Helena: Handling massively distributed systems with ELaborate ENsemble Architectures. Ludwig Maximilian University of Munich, Germany, 2016
• 
  Majed Farrash:
  Machine learning ensemble method for discovering knowledge from big data. University of East Anglia, Norwich, UK, 2016
• 
  Rami Mustafa A. Mohammad:
  An ensemble self-structuring neural network approach to solving classification problems with virtual concept drift and its application to phishing websites. University of Huddersfield, UK, 2016
• 
  Sri Purwani:
  Ensemble registration: combining groupwise registration and segmentation. University of Manchester, UK, 2016
• 
  Thanh Minh Bui:
  Statistical modeling, level-set and ensemble learning for automatic segmentation of 3D high-frequency ultrasound data : towards expedited quantitative ultrasound in lymph nodes from cancer patients. (Modélisation statistique, méthodes d'ensemble de niveaux et apprentissage automatique pour la segmentation de données ultrasonores 3D haute fréquence : vers une analyse rapide par ultrasons quantitatifs des ganglions lymphatiques de patients atteints d'un cancer). Pierre and Marie Curie University, Paris, France, 2016
• 
  Martin Kirchgessner:
  Mining and ranking closed itemsets from large-scale transactional datasets. (Fouille et classement d'ensembles fermés dans des données transactionnelles de grande échelle). Grenoble Alpes University, France, 2016
• 
  Yongwen Liu:
  Cloud services selection based on rough set theory. (Sélectrion de service cloud en utilisant la théorie des ensembles approximatifs). University of Technology of Troyes, France, 2016
• 
  Sameh Mohamed:
  Une méthode topologique pour la recherche d'ensembles invariants de systèmes continus et à communtation. (A topological method for finding invariant sets of continuous and switched systems). University of Paris-Saclay, France, 2016
• 
  Minh Son Phan:
  Contribution à l'estimation de la similarité dans un ensemble de projections tomographiques non-orientées. (Contribution in estimation of similarity from a set of tomographic projections taken at unknown directions). University of Strasbourg, France, 2016
• 
  Guillaume Verdier:
  Variants of acceptance specifications for modular system design. (Variantes de spécifications à ensemble d'acceptation pour la conception modulaire de systèmes). Paul Sabatier University, France, 2016
• 
  Alireza Fazelpour:
  Ensemble Learning Algorithms for the Analysis of Bioinformatics Data. Florida Atlantic University, Boca Raton, FL, USA, 2016
• 
  Sérgio Ricardo Borges Júnior:
  SEnsembles - uma abordagem para melhorar a qualidade das correspondências de instâncias disjuntas em estudos observacionais explorando características idênticas e ensembles de regressores. Federal University of São Carlos, Brazil, 2016
• 
  Yinqing Li:
  Towards dissecting neural ensembles: development of genetic profiling and targeting approaches. Massachusetts Institute of Technology, Cambridge, USA, 2016
• 
  Manasi Datar:
  Statistical Analysis of Ensembles of Nonregular Shapes. University of Utah, USA, 2016
• 
  Bo-Wen Shen, Samson Cheung, Jui-Lin F. Li, Yu-Ling Wu, Samuel S. P. Shen:
  Multiscale Processes of Hurricane Sandy (2012) as Revealed by the Parallel Ensemble Empirical Mode Decomposition and Advanced Visualization Technology. Adv. Data Sci. Adapt. Anal. 8(1): 1650005:1-1650005:22 (2016)
• 
  Tomasz Emanuel Wesolowski, Piotr Porwik, Rafal Doroz:
  Electronic Health Record Security Based on Ensemble Classification of Keystroke Dynamics. Appl. Artif. Intell. 30(6): 521-540 (2016)
• 
  Md. Shamsul Huda, John Yearwood, Herbert F. Jelinek, Mohammad Mehedi Hassan, Giancarlo Fortino, Michael Buckland:
  A Hybrid Feature Selection With Ensemble Classification for Imbalanced Healthcare Data: A Case Study for Brain Tumor Diagnosis. IEEE Access 4: 9145-9154 (2016)
• 
  Xiangtao Li, Shijing Ma, Yunhe Wang:
  Multi-Population Based Ensemble Mutation Method for Single Objective Bilevel Optimization Problem. IEEE Access 4: 7262-7274 (2016)
• 
  Xiaojun Wang, Mingshuang You, Zhizhong Mao, Ping Yuan:
  Tree-Structure Ensemble General Regression Neural Networks applied to predict the molten steel temperature in Ladle Furnace. Adv. Eng. Informatics 30(3): 368-375 (2016)
• 
  Behnaz Bigdeli, Parham Pahlavani:
  High resolution multisensor fusion of SAR, optical and LiDAR data based on crisp vs. fuzzy and feature vs. decision ensemble systems. Int. J. Appl. Earth Obs. Geoinformation 52: 126-136 (2016)
• 
  Menaka Chellasamy, Ty Paul Andrew Ferré, Mogens Humlekrog Greve:
  Evaluating an ensemble classification approach for crop diversity verification in Danish greening subsidy control. Int. J. Appl. Earth Obs. Geoinformation 49: 10-23 (2016)
• 
  Dale MacKrell, Craig McDonald:
  An Evaluation View of an Ensemble Artefact for Decision Support using Action Design Research. Australas. J. Inf. Syst. 20 (2016)
• 
  Iztok Fister, Aleksandra Tepeh, Iztok Fister Jr.:
  Epistatic arithmetic crossover based on Cartesian graph product in ensemble differential evolution. Appl. Math. Comput. 283: 181-194 (2016)

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