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  Browse All Reviews > Computing Methodologies (I) > Pattern Recognition (I.5) > Design Methodology (I.5.2) > Classifier Design And Evaluation (I.5.2...)  
 
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  1-10 of 82 Reviews about "Classifier Design And Evaluation (I.5.2...)": Date Reviewed
  Image texture analysis: foundations, models and algorithms
Hung C., Song E., Lan Y., Springer International Publishing, New York, NY, 2019. 258 pp.  Type: Book (978-3-030137-72-4)

Texture analysis plays an important role in machine vision and pattern recognition. Along with the emergence of artificial intelligence (AI) comes an increase in applications requiring image texture analysis. Deep learning (DL)-based a...

Feb 18 2021
  "Why should I trust you?": Explaining the predictions of any classifier
Ribeiro M., Singh S., Guestrin C.  KDD 2016 (Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, Aug 13-17, 2016) 1135-1144, 2016.  Type: Proceedings

When Bohr introduced his theory of quantum jumps as a model of the inside of an atom, he said that quantum jumps exist but no one can visualize them. Thus, at the time, the scientific community was outraged because science is all about...

May 29 2020
  Learning representation for multi-view data analysis: models and applications
Ding Z., Zhao H., Fu Y., Springer International Publishing, New York, NY, 2019. 268 pp.  Type: Book (978-3-030007-33-1)

Ding et al.’s Learning representation for multi-view data analysis not only provides cutting-edge research on multi-view data representation and analysis, but also provides several visual applications and practical cha...

May 7 2019
  Assessing and improving prediction and classification: theory and algorithms in C++
Masters T., Apress, New York, NY, 2018. 517 pp.  Type: Book (978-1-484233-35-1)

There is an increased interest in machine learning (ML) in both academy and industry. One consequence is a greater demand for textbooks and other educational materials that explain the different facets of ML to a heterogeneous readersh...

Nov 28 2018
  Prediction of HIV drug resistance by combining sequence and structural properties
Khalid Z., Sezerman O. IEEE/ACM Transactions on Computational Biology and Bioinformatics 15(3): 966-973, 2018.  Type: Article

Human immunodeficiency virus infection and acquired immune deficiency syndrome (HIV/AIDS) has been one of the deadliest diseases for the past three decades. Treatment is challenging even today....

Nov 7 2018
  A survey on ensemble learning for data stream classification
Gomes H., Barddal J., Enembreck F., Bifet A. ACM Computing Surveys 50(2): 1-36, 2017.  Type: Article

The automation of several processes, such as business transactions, smartphones, and various types of sensors, has severely increased the number of data stream generators. In data stream classification, data items are represented by a ...

Jun 16 2017
  Biological signals classification and analysis
Kiasaleh K., Springer International Publishing, New York, NY, 2015. 380 pp.  Type: Book (978-3-642548-78-9)

Biological signal classification and analysis by Kamran Kiasaleh involves discussion of signal processing approaches for biological signals such as the electrical signals from the brain (electroencephalogram, EEG), heart (electr...

Jul 1 2016
  Personality in speech: assessment and automatic classification
Polzehl T., Springer Publishing Company, Incorporated, New York, NY, 2014. 176 pp.  Type: Book (978-3-319095-15-8)

Utilizing computer technology to produce psychological assessments of personality traits is a developing field. The focus of this study, written by a researcher at Telekom Innovation Laboratories in Berlin, is speech. Researchers and i...

Nov 12 2015
  Fuzzy classification of online customers
Werro N., Springer Publishing Company, Incorporated, New York, NY, 2015. 141 pp.  Type: Book (978-3-319159-69-0)

Mapping customer behavior is challenging despite having advanced tools and technologies for implementing data warehousing, data mining, and expert and decision support systems. Tracking and managing customer lifetime behavior is also e...

Oct 8 2015
  Evaluating two-stream CNN for video classification
Ye H., Wu Z., Zhao R., Wang X., Jiang Y., Xue X.  ICMR 2015 (Proceedings of the 5th ACM International Conference on Multimedia Retrieval, Shanghai, China, Jun 23-26, 2015) 435-442, 2015.  Type: Proceedings

Video classification is a challenging issue. One of the difficulties is that “there is [a] very limited amount of training data with manual annotations in the video domain.” A two-stream convolutional neural network...

Aug 4 2015
 
 
 
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