• 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 192 matches

• 2020
• 
  Ju-Youn Park, Yewon Hwang, Dukyoung Lee, Jong-Hwan Kim:
  MarsNet: Multi-Label Classification Network for Images of Various Sizes. IEEE Access 8: 21832-21846 (2020)
• 
  Ahmed Cherchem, Abdelillah Jamous, Hongwei Liu, Youcef Maouche:
  Some new results on dimension and Bose distance for various classes of BCH codes. Finite Fields Their Appl. 65: 101673 (2020)
• 
  Yoshiki Takai, Mamoru Fukuchi, Chihiro Matsui, Reika Kinoshita, Ken Takeuchi:
  Analysis on Hybrid SSD Configuration with Emerging Non-Volatile Memories Including Quadruple-Level Cell (QLC) NAND Flash Memory and Various Types of Storage Class Memories (SCMs). IEICE Trans. Electron. 103-C(4): 171-180 (2020)
• 
  Luka Rumora, Mario Miler, Damir Medak:
  Impact of Various Atmospheric Corrections on Sentinel-2 Land Cover Classification Accuracy Using Machine Learning Classifiers. ISPRS Int. J. Geo Inf. 9(4): 277 (2020)
• 
  V. Viswanath Shenoi, Swarna Kuchibhotla, Prasuna Kotturu:
  An efficient state detection of a person by fusion of acoustic and alcoholic features using various classification algorithms. Int. J. Speech Technol. 23(3): 625-632 (2020)
• 
  Venkata Rama Krishna Sajja, Hemantha Kumar Kalluri:
  Classification of Brain Tumors Using Convolutional Neural Network over Various SVM Methods. Ingénierie des Systèmes d Inf. 25(4): 489-495 (2020)
• 
  Salam Jayachitra Devi, Buddha Singh:
  Link prediction model based on geodesic distance measure using various machine learning classification models. J. Intell. Fuzzy Syst. 38(5): 6663-6675 (2020)
• 
  Paul Rademacher, Kevin Wagner:
  Efficient Bayesian Sequential Classification Under the Markov Assumption for Various Loss Functions. IEEE Signal Process. Lett. 27: 401-405 (2020)
• 
  Xianyin Hu, Shangyin Zou, Yuki Ban, Shin'ichi Warisawa:
  The Effect of Maxblur-pooling in Neural Networks on Shift-invariance Issue in Various Biological Signal Classification Tasks. BIOSIGNALS 2020: 49-59
• 
  Raheel Siddiqi:
  Comparative Performance of Various Deep Learning based Models in Fruit Image Classification. IAIT 2020: 14:1-14:9
• 
  Chu-Jen Shao, Hao-Ming Fu, Pu-Jen Cheng:
  Improving One-class Recommendation with Multi-tasking on Various Preference Intensities. RecSys 2020: 498-502
• 
  Kazuki Endo, Masayuki Tanaka, Masatoshi Okutomi:
  Classifying degraded images over various levels of degradation. CoRR abs/2006.08145 (2020)
• 
  Heather M. Guarnera, Feodor F. Dragan, Arne Leitert:
  Injective hulls of various graph classes. CoRR abs/2007.14377 (2020)
• 
  Faezeh Nejati Hatamian, AmirAbbas Davari, Andreas Maier:
  The Effect of Various Strengths of Noises and Data Augmentations on Classification of Short Single-Lead ECG Signals Using Deep Neural Networks. CoRR abs/2009.01192 (2020)
• 2019
• 
  Xijun Liang, Zongjin Zhen, Yunquan Song, Ling Jian, Dongmei Song:
  Pol-SAR Based Oil Spillage Classification With Various Scenarios of Prior Knowledge. IEEE Access 7: 66895-66909 (2019)
• 
  Edison Ong, Peter Sun, Kimberly Berke, Jie Zheng, Guanming Wu, Yongqun He:
  VIO: ontology classification and study of vaccine responses given various experimental and analytical conditions. BMC Bioinform. 20-S(21): 704 (2019)
• 
  Somya Ranjan Sahoo, Brij Bhooshan Gupta:
  Classification of various attacks and their defence mechanism in online social networks: a survey. Enterp. Inf. Syst. 13(6): 832-864 (2019)
• 
  Inderjeet Singh Dhindsa, Ravinder Agarwal, Hardeep S. Ryait:
  Performance evaluation of various classifiers for predicting knee angle from electromyography signals. Expert Syst. J. Knowl. Eng. 36(3) (2019)
• 
  Karsten Wolf:
  Synthesis for Various Petri Net Classes with Union/Find. Fundam. Informaticae 169(1-2): 57-84 (2019)
• 
  T. Muthamil Selvan, B. Balamurugan:
  Comparative Performance Analysis of Various Classifiers for Cloud E-Health Users. Int. J. E Health Medical Commun. 10(2): 86-101 (2019)
• 
  Xiaowu Zou, Zidong Wang, Qi Li, Weiguo Sheng:
  Integration of residual network and convolutional neural network along with various activation functions and global pooling for time series classification. Neurocomputing 367: 39-45 (2019)
• 
  DongHwa Kim, Deokseong Seo, Suhyoun Cho, Pilsung Kang:
  Multi-co-training for document classification using various document representations: TF-IDF, LDA, and Doc2Vec. Inf. Sci. 477: 15-29 (2019)
• 
  Gur Amrit Pal Singh, P. K. Gupta:
  Performance analysis of various machine learning-based approaches for detection and classification of lung cancer in humans. Neural Comput. Appl. 31(10): 6863-6877 (2019)
• 
  Sungsin Lee, Sang Tae Choi, Sang-Il Choi:
  Classification of Gait Type Based on Deep Learning Using Various Sensors with Smart Insole. Sensors 19(8): 1757 (2019)
• 
  Sirinapa Jitaree, Pornchai Phukpattaranont:
  Force classification using surface electromyography from various object lengths and wrist postures. Signal Image Video Process. 13(6): 1183-1190 (2019)
• 
  S. Jayanthi, C. Vennila:
  Advanced Satellite Image Classification of Various Resolution Image Using a Novel Approach of Deep Neural Network Classifier. Wirel. Pers. Commun. 104(1): 357-372 (2019)
• 
  SeokHwan Choi, Jin-Myeong Shin, Peng Liu, Yoon-Ho Choi:
  Robustness Analysis of CNN-based Malware Family Classification Methods Against Various Adversarial Attacks. CNS 2019: 1-6
• 
  Biswajit Mishra, Neha Arora, Yash Vora:
  Wearable ECG for Real Time Complex P-QRS-T Detection and Classification of Various Arrhythmias. COMSNETS 2019: 870-875
• 
  Maaz Rasheed Malik, Yining Liu, Salahuddin Shaikh:
  Empirical and Comparative Study of Various Classifiers with Forecast Deformity Prone Software Models. CRC 2019: 98-103
• 
  Piotr Artiemjew, Pawel Idzikowski:
  Building an Ensemble of Naive Bayes Classifiers using Committee of Bootstraps and Monte Carlo splits for a various percentage of random objects from training set. CS&P 2019

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