• 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 204 matches

• 2021
• 
  Ali Safari Khatouni, Nabil Seddigh, Biswajit Nandy, Ayse Nur Zincir-Heywood:
  Machine Learning Based Classification Accuracy of Encrypted Service Channels: Analysis of Various Factors. J. Netw. Syst. Manag. 29(1): 8 (2021)
• 
  Georgy Minaev, Philipp Müller, Katri Salminen, Jussi Rantala, Veikko Surakka, Ari Visa:
  A Comparison of Various Algorithms for Classification of Food Scents Measured with an Ion Mobility Spectrometry. Sensors 21(2): 361 (2021)
• 
  Mehedi Hasan Raj, A. N. M. Asifur Rahman, Umma Habiba Akter, Khayrun Nahar Riya, Anika Tasneem Nijhum, Rashedur M. Rahman:
  IoT Botnet Detection Using Various One-Class Classifiers. Vietnam. J. Comput. Sci. 8(2): 291-310 (2021)
• 
  Daniyar B. Nurseitov, Kairat Bostanbekov, Maksat Kanatov, Anel Alimova, Abdelrahman Abdallah, Galymzhan Abdimanap:
  Classification of Handwritten Names of Cities and Handwritten Text Recognition using Various Deep Learning Models. CoRR abs/2102.04816 (2021)
• 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)
• 
  Shohei Igarashi, Yoshihiro Sasaki, Tatsuya Mikami, Hirotake Sakuraba, Shinsaku Fukuda:
  Anatomical classification of upper gastrointestinal organs under various image capture conditions using AlexNet. Comput. Biol. Medicine 124: 103950 (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)
• 
  Fangwei Ning, Yan Shi, Maolin Cai, Weiqing Xu:
  Various realization methods of machine-part classification based on deep learning. J. Intell. Manuf. 31(8): 2019-2032 (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
• 
  Dalal Baroud, Ali N. Hasan, Thokozani Shongwe:
  A Study Towards Implementing Various Artificial Neural Networks for Signals Classification and Noise Detection in OFDM/PLC Channels. CSNDSP 2020: 1-6
• 
  Raheel Siddiqi:
  Comparative Performance of Various Deep Learning based Models in Fruit Image Classification. IAIT 2020: 14:1-14:9
• 
  Kazuki Endo, Masayuki Tanaka, Masatoshi Okutomi:
  Classifying Degraded Images Over Various Levels Of Degradation. ICIP 2020: 1691-1695
• 
  Katalin Blix:
  Machine Learning Classification, Feature Ranking and Regression for Water Quality Parameters Retrieval in Various Optical Water Types from Hyper-Spectral Observations. IGARSS 2020: 5608-5611
• 
  Varsha Turkar, Shaunak De, Anup Das, Sanjay Shitole, Rinki Deo, Kaushik Patnaik:
  The Effect of Hybrid Polarimetric Descriptors on Classification Accuracy of Various Land Cover Types. IGARSS 2020: 3884-3887
• 
  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)

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