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Publication search results
found 61 matches
- 2017
- Xiang Jiang, Erico N. de Souza, Ahmad Pesaranghader, Baifan Hu, Daniel L. Silver, Stan Matwin:
TrajectoryNet: an embedded GPS trajectory representation for point-based classification using recurrent neural networks. CASCON 2017: 192-200 - Omar Alam, Jörg Kienzle:
Concern-oriented incremental modelling. CASCON 2017: 103-112 - Karim Ali, Andrew Craik, Bardia Mahjour, Gregor Richards:
Compiler-driven performance. CASCON 2017: 328 - Taghreed Altamimi, Dorina C. Petriu:
Incremental change propagation from UML software models to LQN performance models. CASCON 2017: 120-131 - Periklis Andritsos:
Reconstructing databases: instance-based structure discovery using reconstructability analysis. CASCON 2017: 279-284 - Prashanti Angara, Miguel Jiménez, Kirti Agarwal, Harshit Jain, Roshni Jain, Ulrike Stege, Sudhakar Ganti, Hausi A. Müller, Joanna W. Ng:
Foodie fooderson a conversational agent for the smart kitchen. CASCON 2017: 247-253 - Ali Ariaeinejad, Reza Samavi, Teresa M. Chan, Thomas E. Doyle:
A performance predictive model for emergency medicine residents. CASCON 2017: 28-37 - Arnamoy Bhattacharyya, Harsh V. P. Singh, Seyed Ali Jokar Jandaghi, Cristiana Amza:
Online detection of anomalous applications on the cloud. CASCON 2017: 161-169 - John M. Boyer:
Federating natural language question answering services of a cognitive enterprise data platform. CASCON 2017: 241-246 - Christina Christodoulakis, Azin Asgarian, Steve Easterbrook:
Barriers to adoption of information technology in healthcare. CASCON 2017: 66-75 - Carlos Eduardo de Carvalho Dantas, Marcelo de Almeida Maia:
On the actual use of inheritance and interface in Java projects: evolution and implications. CASCON 2017: 151-160 - Trevor Deley, Dennis Buttera, Jennifer Collins:
Skills lab / cloud academy / skills academy workshop. CASCON 2017: 363 - Serjik G. Dikaleh, Ozair Sheikh, Chris Felix:
Introduction to kubernetes. CASCON 2017: 310 - Serjik G. Dikaleh, Di Xiao, Chris Felix, Dharmesh Mistry, Mike Andrea:
Introduction to neural networks. CASCON 2017: 299 - Cathy Edwards, Jennifer Collins, Ngoni Chipere:
Design for social impact. CASCON 2017: 358 - Taees Eimouri, Kenneth B. Kent, Aleksandar Micic:
Optimizing the JVM object model using object splitting. CASCON 2017: 170-179 - Xueqi Fan, Mihai Iacob, Mihai Nicolae, Eric Dong:
Machine learning basics with IBM data science experience. CASCON 2017: 340 - Umme Salma Gadriwala, Christopher Kumar Anand, Curtis D'Alves, Bill O'Farrell:
Accelerating Poly1305 cryptographic message authentication on the z14. CASCON 2017: 48-54 - Yuan Gan, Marsha Chechik, Shiva Nejati, Jon Bennett, Bill O'Farrell, Julie Waterhouse:
Runtime monitoring of web service conversations. CASCON 2017: 2-17 - Sampson Gao, Muntasir Mallick, Anisha Rohra, Jaideep Bajwa:
Node.js native modules. CASCON 2017: 313 - Randy Giffen, Lysanne Lessard:
Human health in a modern world: can technology solve the mismatch? CASCON 2017: 296-298 - Jarek Gryz:
Privacy as an asset. CASCON 2017: 266-271 - Robert Ho, Jeeva Paudel, Jeremy S. Bradbury:
12th workshop on challenges for parallel computing. CASCON 2017: 323 - Yu Huang, Fei Chiang, Albert Maier, Martin Petitclerc, Yannick Saillet, Damir Spisic, Calisto Zuzarte:
Quantifying duplication to improve data quality. CASCON 2017: 272-278 - Leo Christy Jesuraj, Arthur De Magalhaes:
Expose RESTful microservices using OpenAPI, WebSphere liberty and IBM cloud. CASCON 2017: 309 - Miguel A. Jiménez, Norha M. Villegas, Gabriel Tamura, Hausi A. Müller:
Deployment Specification challenges in the context of large scale systems. CASCON 2017: 220-226 - Shadi Khalifa, Patrick Martin, Rebecca Young:
Classification algorithms and how to distribute them. CASCON 2017: 87-93 - Hamzeh Khazaei, Rajsimman Ravichandiran, Byungchul Park, Hadi Bannazadeh, Ali Tizghadam, Alberto Leon-Garcia:
Elascale: autoscaling and monitoring as a service. CASCON 2017: 234-240 - Kostas Kontogiannis, Don Cronin, Alberto Giammaria, Chris Brealey, Marios Grigoriou:
DevOps toolchains for continuous engineering and improvement. CASCON 2017: 326 - Parisa Lak, Can Kavaklioglu, Mefta Sadat, Martin Petitclerc, Graham J. Wills, Andriy V. Miranskyy, Ayse Basar Bener:
A probabilistic approach for modelling user preferences in recommender systems: a case study on IBM watson analytics. CASCON 2017: 38-47
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