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	Reviewers have found these items notable and have self-selected them for review.   Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Published Date Descending Ascending     1-10 of 7346 results Date Reviewed     Security and privacy on blockchain Zhang R., Xue R., Liu L.  ACM Computing Surveys 52(3): 1-34, 2019. Type: Article While still controversial in terms of mainstream use, the study, research, and development of all things blockchain has been moving ahead full steam. Interestingly, while distributed ledger technology (DLT) is intrinsically perceived to be more se... May 27 2020     Applied reinforcement learning with Python: with OpenAI Gym, Tensorflow, and Keras Beysolow I.,  Apress, New York, NY, 2019. 184 pp. Type: Book (978-1-484251-26-3) This is a small book on the broader topic of reinforcement learning (RL), written by a practitioner for practitioners. It is very practically oriented, but with limited theoretical background. The book narrative is built around OpenAI Gym, a popul... May 22 2020     Learn RStudio IDE: quick, effective, and productive data science Campbell M.,  Apress, New York, NY, 2019. 164 pp. Type: Book (978-1-484245-10-1) R is one of most popular programming languages used in statistical computing. RStudio is an easy-to-use, free, and open-source integrated development environment (IDE) to learn, apply, and develop an R program. Campbell’s book provides step-... May 21 2020     Business model innovation in the era of the Internet of Things: studies on the aspects of evaluation, decision making and tooling Tesch J.,  Springer International Publishing, New York, NY, 2019. 257 pp. Type: Book (978-3-319987-22-4) Being myself responsible for innovation at a large software firm in the Internet of Things (IoT) domain, this book sounded like a perfect match for me and my role. It certainly provides a selected set of good and new insights; nonetheless, it also... May 18 2020     Waging cyber war: technical challenges and operational constraints Oakley J.,  Apress, New York, NY, 2019. 212 pp. Type: Book (978-1-484249-49-9) The general population as well as industry and government are largely aware of the cyber threat risks to personal computers (PCs), smartphones, intelligent devices, servers, and networks. Attacks and hackers have hit all of these, exploiting many ... May 15 2020     A systematic literature review on intelligent user interfaces: preliminary results Gonçalves T., Kolski C., de Oliveira K., Travassos G., Grislin-Le Strugeon E.  IHM 2019 (Proceedings of the 31st Conference on l’Interaction Homme-Machine, Grenoble, France,  Dec 10-13, 2019) 1-8, 2019. Type: Proceedings Designers of user interfaces often face a fundamental dilemma: how much of the underlying functionality of the system should they expose to the user? An experienced user may want direct access to most, or all, of the functionality, while casual us... May 14 2020     Dynamic malware analysis in the modern era--a state of the art survey Or-Meir O., Nissim N., Elovici Y., Rokach L.  ACM Computing Surveys 52(5): 1-48, 2019. Type: Article Malware is a problem. Its spreading within industrial networks and critical infrastructures shows that there is an always increasing need for cybersecurity expertise to detect, protect, and react to infections. Unfortunately, analyzing how malware... May 14 2020     Surviving software dependencies Cox R.  Communications of the ACM 62(9): 36-43, 2019. Type: Article Software has been reused since the days of exchanging decks of punched cards wrapped in listings printed on green bar paper. Packages (that is, libraries) of code are everywhere and are used in an overwhelming number of applications. Starting with... May 13 2020     The art of high performance computing for computational science, vol. 1: techniques of speedup and parallelization for general purposes Geshi M.,  Springer International Publishing, New York, NY, 2019. 219 pp. Type: Book This is the book I wish I had owned when I started supporting computational scientists a few years ago. It is revised and updated from a Japanese volume based on computational science lectures broadcast to a number of campuses through video confer... May 12 2020      Fairness-aware machine learning: practical challenges and lessons learned Bird S., Hutchinson B., Kenthapadi K., K c man E., Mitchell M.  WWW 2019 (Companion Proceedings of The 2019 World Wide Web Conference, San Francisco, CA,  May 13-17, 2019) 1297-1298, 2019. Type: Proceedings This is a timely paper in light of recent stories about bias in artificial intelligence (AI) systems, such as the COMPAS system used in Florida to predict recidivism. The tutorial’s aim is to describe what the authors call a “fairness-... May 7 2020         Display 510152550100 per page
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