• 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 681 matches

• 2021
• 
  Anand Handa, Rashi Agarwal, Narendra Kohli:
  Incremental approach for multi-modal face expression recognition system using deep neural networks. Int. J. Comput. Vis. Robotics 11(1): 1-20 (2021)
• 
  Xiaoyu Duan, Shi Ying, Hailong Cheng, Wanli Yuan, Xiang Yin:
  OILog: An online incremental log keyword extraction approach based on MDP-LSTM neural network. Inf. Syst. 95: 101618 (2021)
• 
  Xin Yang, Dun Liu, Xibei Yang, Keyu Liu, Tianrui Li:
  Incremental fuzzy probability decision-theoretic approaches to dynamic three-way approximations. Inf. Sci. 550: 71-90 (2021)
• 
  Binbin Sang, Hongmei Chen, Lei Yang, Dapeng Zhou, Tianrui Li, Weihua Xu:
  Incremental attribute reduction approaches for ordered data with time-evolving objects. Knowl. Based Syst. 212: 106583 (2021)
• 2020
• 
  Shadi Alameddin:
  A semi-incremental model order reduction approach for fatigue damage computations. University of Hanover, Hannover, Germany, 2020
• 
  Daniel Pérez-Berenguer, Mathieu Kessler, Jesús García Molina:
  A Customizable and Incremental Processing Approach for Learning Analytics. IEEE Access 8: 36350-36362 (2020)
• 
  Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood:
  Complex Emotion Profiling: An Incremental Active Learning Based Approach With Sparse Annotations. IEEE Access 8: 147711-147727 (2020)
• 
  Sarra Bouzayane, Inès Saad:
  A multicriteria approach based on rough set theory for the incremental Periodic prediction. Eur. J. Oper. Res. 286(1): 282-298 (2020)
• 
  Hyoju Nam, Unil Yun, Eunchul Yoon, Jerry Chun-Wei Lin:
  Efficient approach for incremental weighted erasable pattern mining with list structure. Expert Syst. Appl. 143 (2020)
• 
  Chengxiang Hu, Li Zhang:
  Efficient approaches for maintaining dominance-based multigranulation approximations with incremental granular structures. Int. J. Approx. Reason. 126: 202-227 (2020)
• 
  Amritpal Singh, Gagangeet Singh Aujla, Sahil Garg, Georges Kaddoum, Gurpreet Singh:
  Deep-Learning-Based SDN Model for Internet of Things: An Incremental Tensor Train Approach. IEEE Internet Things J. 7(7): 6302-6311 (2020)
• 
  Qianqian Huang, Tianrui Li, Yanyong Huang, Xin Yang:
  Incremental three-way neighborhood approach for dynamic incomplete hybrid data. Inf. Sci. 541: 98-122 (2020)
• 
  Linbo Luo, Xiangting Hou, Wentong Cai, Bin Guo:
  Incremental route inference from low-sampling GPS data: An opportunistic approach to online map matching. Inf. Sci. 512: 1407-1423 (2020)
• 
  Binbin Sang, Hongmei Chen, Tianrui Li, Weihua Xu, Hong Yu:
  Incremental approaches for heterogeneous feature selection in dynamic ordered data. Inf. Sci. 541: 475-501 (2020)
• 
  Kristian Sabo, Danijel Grahovac, Rudolf Scitovski:
  Incremental method for multiple line detection problem - iterative reweighted approach. Math. Comput. Simul. 178: 588-602 (2020)
• 
  Jinhong Jung, Lee Sael:
  Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach. Mach. Learn. 109(12): 2333-2347 (2020)
• 
  Fei He, Jitao Han:
  Termination analysis for evolving programs: an incremental approach by reusing certified modules. Proc. ACM Program. Lang. 4(OOPSLA): 199:1-199:27 (2020)
• 
  André Pacak, Sebastian Erdweg, Tamás Szabó:
  A systematic approach to deriving incremental type checkers. Proc. ACM Program. Lang. 4(OOPSLA): 127:1-127:28 (2020)
• 
  Daniil S. Razdyakonov, Alexey V. Morozov, Dmitry S. Pavlov, Dmitry I. Mouromtsev:
  Approach to Blank Node Processing in Incremental Data Visualization by the Example of Ontodia. Program. Comput. Softw. 46(6): 384-396 (2020)
• 
  Maryam Nooraei Abadeh:
  Performance-driven software development: an incremental refinement approach for high-quality requirement engineering. Requir. Eng. 25(1): 95-113 (2020)
• 
  Naisen Yang, Hong Tang:
  GeoBoost: An Incremental Deep Learning Approach toward Global Mapping of Buildings from VHR Remote Sensing Images. Remote. Sens. 12(11): 1794 (2020)
• 
  Igor Skrjanc:
  Cluster-Volume-Based Merging Approach for Incrementally Evolving Fuzzy Gaussian Clustering - eGAUSS+. IEEE Trans. Fuzzy Syst. 28(9): 2222-2231 (2020)
• 
  Shirshendu Roy, Debiprasad Priyabrata Acharya, Ajit Kumar Sahoo:
  Incremental Gaussian Elimination Approach to Implement OMP for Sparse Signal Measurement. IEEE Trans. Instrum. Meas. 69(7): 4067-4075 (2020)
• 
  Chien-Hung Liu, Woei-Kae Chen, Chi-Chia Sun:
  GUIDE: an interactive and incremental approach for crawling Web applications. J. Supercomput. 76(3): 1562-1584 (2020)
• 
  Sukanta Dey, Sukumar Nandi, Gaurav Trivedi:
  Machine Learning Approach for Fast Electromigration Aware Aging Prediction in Incremental Design of Large Scale On-chip Power Grid Network. ACM Trans. Design Autom. Electr. Syst. 25(5): 42:1-42:29 (2020)
• 
  Liangjun Song, Junhao Gan, Zhifeng Bao, Boyu Ruan, H. V. Jagadish, Timos Sellis:
  Incremental preference adjustment: a graph-theoretical approach. VLDB J. 29(6): 1475-1500 (2020)
• 
  Golnaz Habibi, Nikita Jaipuria, Jonathan P. How:
  SILA: An Incremental Learning Approach for Pedestrian Trajectory Prediction. CVPR Workshops 2020: 4411-4421
• 
  Jathushan Rajasegaran, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
  iTAML: An Incremental Task-Agnostic Meta-learning Approach. CVPR 2020: 13585-13594
• 
  Jaekang Shin, Seungkyu Choi, Yeongjae Choi, Lee-Sup Kim:
  A Pragmatic Approach to On-device Incremental Learning System with Selective Weight Updates. DAC 2020: 1-6
• 
  Andreas Niskanen, Matti Järvisalo:
  Algorithms for Dynamic Argumentation Frameworks: An Incremental SAT-Based Approach. ECAI 2020: 849-856

skipping 651 more matches