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Explainable AI: interpreting, explaining and visualizing deep learning
Samek W., Montavon G., Vedaldi A., Hansen L., Muller K.,  Springer International Publishing, New York, NY, 2019. 452 pp. Type: Book (978-3-030289-53-9)

Deep learning has become so dominant in machine learning, and artificial intelligence (AI) as a whole, that its intrinsic lack of interpretability is paradigmatic for the whole field of explainable AI (XAI). This is why progress in interpreting, e...

Nov 30 2020
ELSA: a multilingual document summarization algorithm based on frequent itemsets and latent semantic analysis
Cagliero L., Garza P., Baralis E.  ACM Transactions on Information Systems 37(2): 1-33, 2019. Type: Article, Reviews: (2 of 2)

“You shall know a word by the company it keeps” is perhaps the most famous quotation attributed to J. R. Firth [1]. Searching for ways to automate natural language understanding (NLU), statistical natural language processing prevailed ...

Nov 23 2020
BigDL: a distributed deep learning framework for big data
Dai J., Wang Y., Qiu X., Ding D., Zhang Y., Wang Y., Jia X., Zhang C., Wan Y., Li Z., Wang J., Huang S., Wu Z., Wang Y., Yang Y., She B., Shi D., Lu Q., Huang K., Song G.  SoCC 2019 (Proceedings of the ACM Symposium on Cloud Computing, Santa Cruz, CA,  Nov 20-23, 2019) 50-60, 2019. Type: Proceedings

The sheer complexity of storage and processing methods deployed by big data applications has resulted in a prolonged wait for a deep learning framework that effectively works with big data. This paper announces the end of this wait, explaining the...

Nov 16 2020
A study examining relationships between micro patterns and security vulnerabilities
Sultana K., Williams B., Bhowmik T.  Software Quality Journal 27(1): 5-41, 2019. Type: Article

Do you have an unlimited budget for code review and testing? Or can you ignore security vulnerabilities in the code? If not, you might be interested in this novel way of allocating code review and testing resources to better detect security vulner...

Nov 9 2020
Data mining to increase teaching performance in engineering education
Pascal G., Tornillo J., Minnaard C., Comoglio M.  ICEIT 2019 (Proceedings of the 2019 8th International Conference on Educational and Information Technology, Cambridge, UK,  Mar 2-4, 2019) 308-311, 2019. Type: Proceedings

A country’s success rate depends on many aspects. It is a mixture of different inner and outer conditions. Some factors are dependent on politics, and there is no possibility of building a strong and innovative industrial sector without an e...

Nov 2 2020
A survey on deep learning: algorithms, techniques, and applications
Pouyanfar S., Sadiq S., Yan Y., Tian H., Tao Y., Reyes M., Shyu M., Chen S., Iyengar S.  ACM Computing Surveys 51(5): 1-36, 2018. Type: Article

Deep learning (DL) algorithms, characterized by mapping from input to output (labels or classes) with multiple hidden layers in between, have revived the excitement of artificial intelligence (AI) to get closer to its initial vision of building in...

Oct 26 2020
Essential logic for computer science
Page R., Gamboa R.,  The MIT Press, Cambridge, MA, 2018. 304 pp. Type: Book (978-0-262039-18-5)

The “for computer science” part of this excellent book’s title initially gave me pause, as it connoted for me a possible compromise of the “logic” part. As a matter of fact, the very opposite is the case here. The boo...

Oct 19 2020
Game theory, the Internet of Things and 5G networks: utilizing game theoretic models to characterize challenging scenarios
Antoniou J.,  Springer International Publishing, New York, NY, 2020. 110 pp. Type: Book (978-3-030168-43-8)

Sustained by the much-improved capabilities of 5G technology, the new Internet of Things (IoT) applications will benefit from an increased number of interconnected sensors and devices, as well as from a significantly larger data transfer, improved...

Oct 12 2020
Data-intensive workflow management: for clouds and data-intensive and scalable computing environments
de Oliveira D., Liu J., Pacitti E.,  Morgan&Claypool Publishers, San Rafael, CA, 2019. 180 pp. Type: Book (978-1-681735-57-3)

Data-intensive workflows turn up in scientific domains where the most current information technologies find application areas. The “differentia specifica” between business and scientific workflows is the importance of provenance data r...

Oct 5 2020
Fundamentals of image data mining: analysis, features, classification and retrieval
Zhang D.,  Springer International Publishing, New York, NY, 2019. 314 pp. Type: Book (978-3-030179-88-5)

Data mining is “the science of extracting useful knowledge from huge data repositories” [1]. Extending this definition, it can be concluded that image data mining is the science of extracting valuable knowledge from large volumes of im...

Sep 28 2020
 
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