• 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 231 matches

• 2021
• 
  Gianluca Truda, Patrick Marais:
  Evaluating warfarin dosing models on multiple datasets with a novel software framework and evolutionary optimisation. J. Biomed. Informatics 113: 103634 (2021)
• 
  Al Koudous Idrissou, Frank van Harmelen, Peter van den Besselaar:
  Network metrics for assessing the quality of entity resolution between multiple datasets. Semantic Web 12(1): 21-40 (2021)
• 
  Sohail Ahmed Khan, Wasiq Khan, Abir Hussain:
  Phishing Attacks and Websites Classification Using Machine Learning and Multiple Datasets (A Comparative Analysis). CoRR abs/2101.02552 (2021)
• 
  Shida Lei, Nan Lu, Gang Niu, Issei Sato, Masashi Sugiyama:
  Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification. CoRR abs/2102.00678 (2021)
• 
  John Kalung Leung, Igor Griva, William G. Kennedy:
  An Affective Aware Pseudo Association Method to Connect Disjoint Users Across Multiple Datasets - An Enhanced Validation Method for Text-based Emotion Aware Recommender. CoRR abs/2102.05719 (2021)
• 2020
• 
  Nathan Cunningham, Jim E. Griffin, David L. Wild:
  ParticleMDI: particle Monte Carlo methods for the cluster analysis of multiple datasets with applications to cancer subtype identification. Adv. Data Anal. Classif. 14(2): 463-484 (2020)
• 
  Yanbing Wei, Miao Lu, Wenbin Wu, Yating Ru:
  Multiple factors influence the consistency of cropland datasets in Africa. Int. J. Appl. Earth Obs. Geoinformation 89: 102087 (2020)
• 
  Gang Kou, Pei Yang, Yi Peng, Feng Xiao, Yang Chen, Fawaz E. Alsaadi:
  Evaluation of feature selection methods for text classification with small datasets using multiple criteria decision-making methods. Appl. Soft Comput. 86 (2020)
• 
  Alessandra Cabassi, Paul D. W. Kirk:
  Multiple kernel learning for integrative consensus clustering of omic datasets. Bioinform. 36(18): 4789-4796 (2020)
• 
  Timo Lassmann:
  Kalign 3: multiple sequence alignment of large datasets. Bioinform. 36(6): 1928-1929 (2020)
• 
  Henk J. van Waarde, Claudio De Persis, M. Kanat Camlibel, Pietro Tesi:
  Willems' Fundamental Lemma for State-Space Systems and Its Extension to Multiple Datasets. IEEE Control. Syst. Lett. 4(3): 602-607 (2020)
• 
  José Ángel Sánchez Martín, Ion Petre:
  Network Controllability Analysis of Three Multiple-myeloma Patient Genetic Mutation Datasets. Fundam. Informaticae 175(1-4): 281-299 (2020)
• 
  Ruxia Chen, Huimin Yan, Fang Liu, Wenpeng Du, Yanzhao Yang:
  Multiple Global Population Datasets: Differences and Spatial Distribution Characteristics. ISPRS Int. J. Geo Inf. 9(11): 637 (2020)
• 
  Olalekan Agbolade, Azree Nazri, Razali Yaakob, Abdul Azim Abdul Ghani, Yoke Kqueen Cheah:
  Landmark-based homologous multi-point warping approach to 3D facial recognition using multiple datasets. PeerJ Comput. Sci. 6: e249 (2020)
• 
  Peng Li, Hui Li, Fang Chen, Xiaobin Cai:
  Monitoring Long-Term Lake Level Variations in Middle and Lower Yangtze Basin over 2002-2017 through Integration of Multiple Satellite Altimetry Datasets. Remote. Sens. 12(9): 1448 (2020)
• 
  Junshi Xia, Naoto Yokoya, Tien Dat Pham:
  Probabilistic Mangrove Species Mapping with Multiple-Source Remote-Sensing Datasets Using Label Distribution Learning in Xuan Thuy National Park, Vietnam. Remote. Sens. 12(22): 3834 (2020)
• 
  Yuzhen Zhang, Shunlin Liang:
  Fusion of Multiple Gridded Biomass Datasets for Generating a Global Forest Aboveground Biomass Map. Remote. Sens. 12(16): 2559 (2020)
• 
  Eduardo Casilari, Raúl Lora-Rivera, Francisco García-Lagos:
  A Study on the Application of Convolutional Neural Networks to Fall Detection Evaluated with Multiple Public Datasets. Sensors 20(5): 1466 (2020)
• 
  Juan González-García, Carlos Tellería-Orriols, Francisco Estupiñán-Romero, Enrique Bernal-Delgado:
  Construction of Empirical Care Pathways Process Models From Multiple Real-World Datasets. IEEE J. Biomed. Health Informatics 24(9): 2671-2680 (2020)
• 
  Davide Borra, Alice Andalò, Stefano Severi, Cristiana Corsi:
  On the Application of Convolutional Neural Networks for 12-lead ECG Multi-label Classification Using Datasets From Multiple Centers. CinC 2020: 1-4
• 
  Xiangyun Zhao, Samuel Schulter, Gaurav Sharma, Yi-Hsuan Tsai, Manmohan Chandraker, Ying Wu:
  Object Detection with a Unified Label Space from Multiple Datasets. ECCV (14) 2020: 178-193
• 
  Le Wang, Zijun Huang, Qingqi Pei, Shen Wang:
  Federated CF: Privacy-Preserving Collaborative Filtering Cross Multiple Datasets. ICC 2020: 1-6
• 
  Sohail Ahmed Khan, Wasiq Khan, Abir Hussain:
  Phishing Attacks and Websites Classification Using Machine Learning and Multiple Datasets (A Comparative Analysis). ICIC (3) 2020: 301-313
• 
  Yachao Shao, Tao Zhao, Xiaoning Wang, Xiaofeng Zou, Xiaoming Fu:
  Multiple Balance Subsets Stacking for Imbalanced Healthcare Datasets. ICPADS 2020: 300-307
• 
  Yuan Wang, Qiangqiang Yuan, Ruixue Xiao, Tongwen Li, Liangpei Zhang:
  Recovery of the Carbon Monoxide Product from S5P-TROPOMI by Fusing Multiple Datasets: A Case Study in Hubei Province, China. IGARSS 2020: 5529-5532
• 
  Shanlin Sun, Yang Liu, Narisu Bai, Hao Tang, Xuming Chen, Qian Huang, Yong Liu, Xiaohui Xie:
  Attentionanatomy: A Unified Framework for Whole-Body Organs at Risk Segmentation Using Multiple Partially Annotated Datasets. ISBI 2020: 1-5
• 
  Hai Shu, Zhe Qu, Hongtu Zhu:
  D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multiple High-dimensional Datasets. CoRR abs/2001.02856 (2020)
• 
  Shanlin Sun, Yang Liu, Narisu Bai, Hao Tang, Xuming Chen, Qian Huang, Yong Liu, Xiaohui Xie:
  AttentionAnatomy: A unified framework for whole-body organs at risk segmentation using multiple partially annotated datasets. CoRR abs/2001.04446 (2020)
• 
  Ke Yan, Jinzheng Cai, Adam P. Harrison, Dakai Jin, Jing Xiao, Le Lu:
  Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets. CoRR abs/2005.13753 (2020)
• 
  Xiangyun Zhao, Samuel Schulter, Gaurav Sharma, Yi-Hsuan Tsai, Manmohan Chandraker, Ying Wu:
  Object Detection with a Unified Label Space from Multiple Datasets. CoRR abs/2008.06614 (2020)

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