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   The practice of crowdsourcing
Alonso O., Marchionini G.,  Morgan&Claypool Publishers, 2019. 150 pp. Type: Book (978-1-681735-23-8)

The practice of crowdsourcing provides a very concise, yet very practical, guide to crowdsourcing computing. In computer science, we discuss algorithms, software, hardware, design, and societal issues in computing, among many other topics. ...

   An introduction to compressed sensing
Vidyasagar M.,  SIAM, Philadelphia, PA, 2020. 341 pp. Type: Book (978-1-611976-11-3)

Compressed sensing has emerged as a key technology in the signal processing area. This disruptive technique has found applications in many real-life problems. We know from the classical Nyquist-Shannon theorem that a signal can be recovered perfec...

   The physics of quantum information: quantum cryptography, quantum teleportation, quantum computation
Bouwmeester D., Ekert A., Zeilinger A.  Springer-Verlag, London, UK, 2000. Type: Divisible Book

A century ago, the discovery of quantum mechanics initiated a revolution in physics that challenged many deeply-held intuitions. Within the last 20 years, the application of quantum mechanics to computation has opened the door to a similar revolu...

  Replicated computations results (RCR) report for “Statistical abstraction for multi-scale spatio-temporal systems”
Loreti M.  ACM Transactions on Modeling and Computer Simulation 29(4): 1-2, 2019. Type: Article

This brief paper takes an unusual approach to presenting the experimental results of simulating two case studies from [1]: a model of Escherichia coli chemotaxis and a model of Dictyostelium discoideum aggregation. It introduces read...

   Quantum techniques in stochastic mechanics
Baez J., Biamonte J.,  WORLD SCIENTIFIC, Singapore, 2018. 263 pp. Type: Book (978-9-813226-93-7)

In an increasingly specialized world, it is a rare pleasure when a book can build compelling and useful connections among widely different disciplines. This volume offers such a treat, merging physics (the mathematics of quantum field theory), com...

  Walling up backdoors in intrusion detection systems
Bachl M., Hartl A., Fabini J., Zseby T.  Big-DAMA 2019 (Proceedings of the 3rd ACM CoNEXT Workshop on Big DAta, Machine Learning and Artificial Intelligence for Data Communication Networks, Orlando, FL,  Dec 9, 2019) 8-13, 2019. Type: Proceedings

Intrusion detection systems (IDSs) detect anomalies in a network. However, backdoors instated for profit, political gain, and/or other reasons can be hard to detect and may introduce security vulnerabilities....

  Towards mathematics, computers and environment: a disasters perspective
Santos L., Negri R., de Carvalho T.,  Springer International Publishing, New York, NY, 2019. 258 pp. Type: Book (978-3-030212-04-9)

This edited collection of papers, written by scientists from Latin America, focuses on various types of quantitative and stochastic models, including their potential to “improve predictability of natural disasters,” along with various ...

  Regulating artificial intelligence
Wischmeyer T., Rademacher T.,  Springer, New York, NY, 2020. 391 pp. Type: Book (978-3-030323-60-8)

As an emeritus professor of computer science, I found this book to be a very interesting introduction to a very relevant topic: the regulation of artificial intelligence (AI). In the preface, the authors note: “the belief that something need...

  Environmental bisimulations for probabilistic higher-order languages
Sangiorgi D., Vignudelli V.  ACM Transactions on Programming Languages and Systems 41(4): 1-64, 2019. Type: Article

Bisimulation is a technique for proving the behavioral equivalence of labeled transition systems. It is used in the study of λ calculi, for example, especially in the context of concurrency. The basic idea is to find a relation between progra...

  Evolutionary decision trees in large-scale data mining
Kretowski M.,  Springer International Publishing, New York, NY, 2019. 180 pp. Type: Book (978-3-030218-50-8)

Decision trees are valuable counterparts to neural networks in data mining--the book confirms this statement. Evolutionary decision trees in large-scale data mining is a didactic introduction to, and overview of, the almost two-decade-...

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