• 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 2,306 matches

• 2021
• 
  Soumyendu Banerjee, Girish Kumar Singh:
  A new approach of ECG steganography and prediction using deep learning. Biomed. Signal Process. Control. 64: 102151 (2021)
• 
  Zhi Li, Harm Derksen, Jonathan Gryak, Cheng Jiang, Zijun Gao, Winston Zhang, Hamid Ghanbari, Pujitha Gunaratne, Kayvan Najarian:
  Prediction of cardiac arrhythmia using deterministic probabilistic finite-state automata. Biomed. Signal Process. Control. 63: 102200 (2021)
• 
  Francesco Di Nardo, Christian Morbidoni, Alessandro Cucchiarelli, Sandro Fioretti:
  Influence of EMG-signal processing and experimental set-up on prediction of gait events by neural network. Biomed. Signal Process. Control. 63: 102232 (2021)
• 
  Meng Rong, Kaiyang Li:
  A Blood Pressure Prediction Method Based on Imaging Photoplethysmography in combination with Machine Learning. Biomed. Signal Process. Control. 64: 102328 (2021)
• 
  Qizhong Zhang, Ji Ding, Wanzeng Kong, Yang Liu, Qian Wang, Tiejia Jiang:
  Epilepsy prediction through optimized multidimensional sample entropy and Bi-LSTM. Biomed. Signal Process. Control. 64: 102293 (2021)
• 
  Casey B. Davis, Christopher M. Hans, Thomas J. Santner:
  Prediction of non-stationary response functions using a Bayesian composite Gaussian process. Comput. Stat. Data Anal. 154: 107083 (2021)
• 
  Zhengkui Weng, Wuzhao Li, Zhipeng Jin:
  Human activity prediction using saliency-aware motion enhancement and weighted LSTM network. EURASIP J. Image Video Process. 2021(1): 3 (2021)
• 
  G. Ganapathy, N. Sivakumaran, M. Punniyamoorthy, Tryambak Chatterjee, Monisha Ravi:
  Improving the prediction accuracy of low back pain using machine learning through data pre-processing techniques. Int. J. Medical Eng. Informatics 13(1): 92-102 (2021)
• 
  Stefano Faralli, Steve Rittinghaus, Nima Samsami, Damiano Distante, Eugénio Rocha:
  Emotional Intensity-based Success Prediction Model for Crowdfunded Campaigns. Inf. Process. Manag. 58(1): 102394 (2021)
• 
  Maryam Khodabakhsh, Ebrahim Bagheri:
  Semantics-enabled query performance prediction for ad hoc table retrieval. Inf. Process. Manag. 58(1): 102399 (2021)
• 
  Jens Brunk, Matthias Stierle, Leon Papke, Kate Revoredo, Martin Matzner, Jörg Becker:
  Cause vs. effect in context-sensitive prediction of business process instances. Inf. Syst. 95: 101635 (2021)
• 
  Guobo Liao, Hongpeng Yin, Min Chen, Zheng Lin:
  Remaining useful life prediction for multi-phase deteriorating process based on Wiener process. Reliab. Eng. Syst. Saf. 207: 107361 (2021)
• 
  Xianglin Zhu, Khalil ur Rehman, Bo Wang, Muhammad Shahzad, Ahmad Hassan:
  Data-Driven Soft Sensor Model Based on Deep Learning for Quality Prediction of Industrial Processes. SN Comput. Sci. 2(1): 40 (2021)
• 
  Yongqiang Bai, Gangyi Jiang, Zhongjie Zhu, Haiyong Xu, Yang Song:
  Reversible data hiding scheme for high dynamic range images based on multiple prediction error expansion. Signal Process. Image Commun. 91: 116084 (2021)
• 
  Wujie Zhou, Xinyang Lin, Xi Zhou, Jingsheng Lei, Lu Yu, Ting Luo:
  Multi-layer fusion network for blind stereoscopic 3D visual quality prediction. Signal Process. Image Commun. 91: 116095 (2021)
• 
  Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
  Deep Inverse Reinforcement Learning for Behavior Prediction in Autonomous Driving: Accurate Forecasts of Vehicle Motion. IEEE Signal Process. Mag. 38(1): 87-96 (2021)
• 
  Shun-Po Chuang, Alexander H. Liu, Tzu-Wei Sung, Hung-yi Lee:
  Improving Automatic Speech Recognition and Speech Translation via Word Embedding Prediction. IEEE ACM Trans. Audio Speech Lang. Process. 29: 93-105 (2021)
• 
  Amin Edraki, Wai-Yip Chan, Jesper Jensen, Daniel Fogerty:
  Speech Intelligibility Prediction Using Spectro-Temporal Modulation Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 29: 210-225 (2021)
• 
  Kailong Zhou, Xin Chen, Min Wu, Sheng Du, Jie Hu, Yosuke Nakanishi:
  A New CO/CO$_2$ Prediction Model Based on Labeled and Unlabeled Process Data for Sintering Process. IEEE Trans. Ind. Informatics 17(1): 333-345 (2021)
• 
  Yijing Fang, Zhaohui Jiang, Dong Pan, Weihua Gui, Zhipeng Chen:
  Soft Sensors Based on Adaptive Stacked Polymorphic Model for Silicon Content Prediction in Ironmaking Process. IEEE Trans. Instrum. Meas. 70: 1-12 (2021)
• 
  Liangjun Feng, Chunhui Zhao, Yuanlong Li, Min Zhou, Honglin Qiao, Chuan Fu:
  Multichannel Diffusion Graph Convolutional Network for the Prediction of Endpoint Composition in the Converter Steelmaking Process. IEEE Trans. Instrum. Meas. 70: 1-13 (2021)
• 
  Xiaofeng Yuan, Yongjie Gu, Yalin Wang:
  Supervised Deep Belief Network for Quality Prediction in Industrial Processes. IEEE Trans. Instrum. Meas. 70: 1-11 (2021)
• 
  Li-Heng Chen, Christos G. Bampis, Zhi Li, Joel Sole, Alan C. Bovik:
  Perceptual Video Quality Prediction Emphasizing Chroma Distortions. IEEE Trans. Image Process. 30: 1408-1422 (2021)
• 
  Thierry Dumas, Franck Galpin, Philippe Bordes:
  Iterative Training of Neural Networks for Intra Prediction. IEEE Trans. Image Process. 30: 697-711 (2021)
• 
  Woojae Kim, Sanghoon Lee, Alan Conrad Bovik:
  VR Sickness Versus VR Presence: A Statistical Prediction Model. IEEE Trans. Image Process. 30: 559-571 (2021)
• 
  Kao Zhang, Zhenzhong Chen, Shan Liu:
  A Spatial-Temporal Recurrent Neural Network for Video Saliency Prediction. IEEE Trans. Image Process. 30: 572-587 (2021)
• 
  Piyush Yadav, Dipto Sarkar, Dhaval Salwala, Edward Curry:
  Traffic Prediction Framework for OpenStreetMap Using Deep Learning Based Complex Event Processing and Open Traffic Cameras. GIScience (I) 2021: 17:1-17:17
• 
  Kailong Liu, Xiaosong Hu, Zhongbao Wei, Yi Li, Yan Jiang:
  Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-ion Batteries. CoRR abs/2101.00035 (2021)
• 2020
• 
  Abdolkhalegh Bayati, Kim Khoa Nguyen, Mohamed Cheriet:
  Gaussian Process Regression Ensemble Model for Network Traffic Prediction. IEEE Access 8: 176540-176554 (2020)
• 
  Alfonso E. Márquez Chamorro, Kate Revoredo, Manuel Resinas, Adela del-Río-Ortega, Flávia Maria Santoro, Antonio Ruiz-Cortés:
  Context-Aware Process Performance Indicator Prediction. IEEE Access 8: 222050-222063 (2020)

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