• 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 81 matches

• 2021
• 
  Nicolás García-Pedrajas, Juan Antonio Romero del Castillo, Gonzalo Cerruela García:
  SI(FS)2: Fast simultaneous instance and feature selection for datasets with many features. Pattern Recognit. 111: 107723 (2021)
• 2020
• 
  Zhixia Zhang, Jie Wen, Jiangjiang Zhang, Xingjuan Cai, Liping Xie:
  A Many Objective-Based Feature Selection Model for Anomaly Detection in Cloud Environment. IEEE Access 8: 60218-60231 (2020)
• 
  Zhixia Zhang, Liping Xie:
  A many-objective integrated evolutionary algorithm for feature selection in anomaly detection. Concurr. Comput. Pract. Exp. 32(22) (2020)
• 
  Chandra Sekhar Vorugunti, Viswanath Pulabaigari, Rama Krishna Sai Subrahmanyam Gorthi, Prerana Mukherjee:
  OSVFuseNet: Online Signature Verification by feature fusion and depth-wise separable convolution based deep learning. Neurocomputing 409: 157-172 (2020)
• 
  Yu Zhou, Junhao Kang, Hainan Guo:
  Many-objective optimization of feature selection based on two-level particle cooperation. Inf. Sci. 532: 91-109 (2020)
• 
  Sabenabanu Abdulkadhar, Gurusamy Murugesan, Jeyakumar Natarajan:
  Classifying protein-protein interaction articles from biomedical literature using many relevant features and context-free grammar. J. King Saud Univ. Comput. Inf. Sci. 32(5): 553-560 (2020)
• 
  Hongbin Dong, Jing Sun, Xiaohang Sun, Rui Ding:
  A many-objective feature selection for multi-label classification. Knowl. Based Syst. 208: 106456 (2020)
• 
  Haoran Li, Fazhi He, Yaqian Liang, Quan Quan:
  A dividing-based many-objective evolutionary algorithm for large-scale feature selection. Soft Comput. 24(9): 6851-6870 (2020)
• 
  Sameer Ranjan Sahu, Rama Krishna Sai Subrahmanyam Gorthi, Subrahmanyam Gorthi:
  Epileptic Seizure Detection and Anticipation using Deep Learning with Ordered Encoding of Spectrogram Features. EUSIPCO 2020: 1065-1069
• 
  Geanderson Esteves dos Santos, Eduardo Figueiredo:
  Failure of One, Fall of Many: An Exploratory Study of Software Features for Defect Prediction. SCAM 2020: 98-109
• 2019
• 
  Sebastian Stolzenberg:
  PySFD: comprehensive molecular insights from significant feature differences detected among many simulated ensembles. Bioinform. 35(9): 1588-1590 (2019)
• 
  Onur Atan, William R. Zame, Qiaojun Feng, Mihaela van der Schaar:
  Constructing effective personalized policies using counterfactual inference from biased data sets with many features. Mach. Learn. 108(6): 945-970 (2019)
• 
  Vivian Lai, Zheng Cai, Chenhao Tan:
  Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification. EMNLP/IJCNLP (1) 2019: 486-495
• 
  Jonathan E. Fieldsend, Tinkle Chugh, Richard Allmendinger, Kaisa Miettinen:
  A feature rich distance-based many-objective visualisable test problem generator. GECCO 2019: 541-549
• 
  Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh, Shahryar Rahnamayan:
  A Many-objective Feature Selection Algorithm for Multi-label Classification Based on Computational Complexity of Features. ICCSE 2019: 85-91
• 
  Jesús González, Julio Ortega Lopera, Miguel Damas, Pedro Martín-Smith:
  Many-Objective Cooperative Co-evolutionary Feature Selection: A Lexicographic Approach. IWANN (2) 2019: 463-474
• 
  Vivian Lai, Jon Z. Cai, Chenhao Tan:
  Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification. CoRR abs/1910.08534 (2019)
• 2018
• 
  Manyi Wu:
  Research on optimization of image fast feature point matching algorithm. EURASIP J. Image Video Process. 2018: 106 (2018)
• 
  Zijia Lin, Guiguang Ding, Jungong Han, Ling Shao:
  End-to-End Feature-Aware Label Space Encoding for Multilabel Classification With Many Classes. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2472-2487 (2018)
• 
  Yanping Li, Kong-Aik Lee, Yougen Yuan, Haizhou Li, Zhen Yang:
  Many-to-Many Voice Conversion based on Bottleneck Features with Variational Autoencoder for Non-parallel Training Data. APSIPA 2018: 829-833
• 
  Akifumi Okuno, Tetsuya Hada, Hidetoshi Shimodaira:
  A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks. ICML 2018: 3885-3894
• 
  Yury Alejandra Castillo Manyoma, Nicolas Daniel Gómez Reyes, Luz Esperanza Bohórquez:
  Organizational Features in Disaster Risk Management Systems. ITDRR 2018: 155-174
• 
  Raja Ben Abdessalem, Annibale Panichella, Shiva Nejati, Lionel C. Briand, Thomas Stifter:
  Testing autonomous cars for feature interaction failures using many-objective search. ASE 2018: 143-154
• 
  Alessandro Panunzi, Lorenzo Gregori, Andrea Amelio Ravelli:
  One event, many representations. Mapping action concepts through visual features. LREC 2018
• 
  Chuanqi Wang, Yanhui Li, Baowen Xu:
  How Many Versions does a Bug Live in? An Empirical Study on Text Features for Bug Lifecycle Prediction. SEKE 2018: 415-414
• 
  Alexander Stec, Diego Klabjan, Jean Utke:
  Unified recurrent neural network for many feature types. CoRR abs/1809.08717 (2018)
• 2017
• 
  Hailiang Li, Kin-Man Lam, Man-Yau Chiu, Kangheng Wu, Zhibin Lei:
  Cascaded face alignment via intimacy definition feature. J. Electronic Imaging 26(5): 53024 (2017)
• 
  Pinaki Ranjan Sarkar, Deepak Mishra, Gorthi R. K. Sai Subrahmanyam:
  Classification of Breast Masses Using Convolutional Neural Network as Feature Extractor and Classifier. CVIP (2) 2017: 25-36
• 
  Pinaki Ranjan Sarkar, Deepak Mishra, Gorthi R. K. S. S. Manyam:
  Improving Isolated Bangla Compound Character Recognition Through Feature-map Alignment. ICAPR 2017: 1-5
• 
  Yudai Tanabe, Koki Kagari, Yuki Kitanaka, Kazuhiro Takeuchi, Sachio Hirokawa:
  Finding Key Integer Values in Many Features for Learners' Academic Performance Prediction. ICETC 2017: 167-171

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