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Publication search results
found 328 matches
- 2023
- Yaochu Jin:
Computational Evolution of Neural and Morphological Development - Towards Evolutionary Developmental Artificial Intelligence. Natural Computing Series, Springer 2023, ISBN 978-981-99-1853-9, pp. 1-273 - Leonardo Vanneschi, Sara Silva:
Lectures on Intelligent Systems. Natural Computing Series, Springer 2023, ISBN 978-3-031-17921-1, pp. 1-331 - Aurora Ramírez, Breno Miranda:
Foundations of Machine Learning for Software Engineering. Optimising the Software Development Process with Artificial Intelligence 2023: 309-344 - Michael Felderer, Eduard Paul Enoiu, Sahar Tahvili:
Artificial Intelligence Techniques in System Testing. Optimising the Software Development Process with Artificial Intelligence 2023: 221-240 - Javier Ferrer, Pedro Delgado-Pérez:
Metaheuristics in a Nutshell. Optimising the Software Development Process with Artificial Intelligence 2023: 279-307 - Afonso Fontes, Gregory Gay, Francisco Gomes de Oliveira Neto, Robert Feldt:
Automated Support for Unit Test Generation. Optimising the Software Development Process with Artificial Intelligence 2023: 179-219 - Antonio Garmendia, Dominik Bork, Martin Eisenberg, Thiago do Nascimento Ferreira, Marouane Kessentini, Manuel Wimmer:
Leveraging Artificial Intelligence for Model-based Software Analysis and Design. Optimising the Software Development Process with Artificial Intelligence 2023: 93-117 - Foutse Khomh, Mohammad Masudur Rahman, Antoine Barbez:
Intelligent Software Maintenance. Optimising the Software Development Process with Artificial Intelligence 2023: 241-275 - Fitsum Meshesha Kifetew, Anna Perini, Angelo Susi:
Requirements Engineering. Optimising the Software Development Process with Artificial Intelligence 2023: 67-91 - Tien N. Nguyen:
Statistical Models and Machine Learning to Advance Code Completion: Are We There Yet? Optimising the Software Development Process with Artificial Intelligence 2023: 121-153 - José Antonio Parejo, Ana Belén Sánchez:
Cloud Development and Deployment. Optimising the Software Development Process with Artificial Intelligence 2023: 155-176 - José Raúl Romero, Inmaculada Medina-Bulo, Francisco Chicano:
Introduction. Optimising the Software Development Process with Artificial Intelligence 2023: 1-16 - Liyan Song, Leandro L. Minku:
Artificial Intelligence in Software Project Management. Optimising the Software Development Process with Artificial Intelligence 2023: 19-65 - José Raúl Romero, Inmaculada Medina-Bulo, Francisco Chicano:
Optimising the Software Development Process with Artificial Intelligence. Natural Computing Series, Springer 2023, ISBN 978-981-19-9948-2 [contents] - 2022
- Tome Eftimov, Peter Korosec:
Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms. Natural Computing Series, Springer 2022, ISBN 978-3-030-96916-5, pp. 1-124 - Neil Urquhart:
Nature Inspired Optimisation for Delivery Problems - From Theory to the Real World. Natural Computing Series, Springer 2022, ISBN 978-3-030-98107-5, pp. 3-256 - 2021
- Yi Mei, Mazhar Ansari Ardeh, Mengjie Zhang:
Knowledge Transfer in Genetic Programming Hyper-heuristics. Automated Design of Machine Learning and Search Algorithms 2021: 149-169 - Keisuke Fujii, Kohei Nakajima:
Quantum Reservoir Computing: A Reservoir Approach Toward Quantum Machine Learning on Near-Term Quantum Devices. Reservoir Computing 2021: 423-450 - Renato Aguilera, Henry O. Sillin, Adam Z. Stieg, James K. Gimzewski:
Programmable Fading Memory in Atomic Switch Systems for Error Checking Applications. Reservoir Computing 2021: 273-303 - Ali Ahrari, Kalyanmoy Deb:
Multimodal Optimization by Evolution Strategies with Repelling Subpopulations. Metaheuristics for Finding Multiple Solutions 2021: 145-163 - Khulood AlYahya, Kevin A. J. Doherty, Ozgur E. Akman, Jonathan E. Fieldsend:
Reduced Models of Gene Regulatory Networks: Visualising Multi-modal Landscapes. Metaheuristics for Finding Multiple Solutions 2021: 229-258 - Stefan Apostel, Nicholas D. Haynes, Eckehard Schöll, Otti D'Huys, Daniel J. Gauthier:
Reservoir Computing Using Autonomous Boolean Networks Realized on Field-Programmable Gate Arrays. Reservoir Computing 2021: 239-271 - Mauro Birattari, Antoine Ligot, Gianpiero Francesca:
AutoMoDe: A Modular Approach to the Automatic Off-Line Design and Fine-Tuning of Control Software for Robot Swarms. Automated Design of Machine Learning and Search Algorithms 2021: 73-90 - Matthew Dale, Julian F. Miller, Susan Stepney, Martin A. Trefzer:
Reservoir Computing in Material Substrates. Reservoir Computing 2021: 141-166 - Joni Dambre, Andrew Katumba, Chonghuai Ma, Stijn Sackesyn, Floris Laporte, Matthias Freiberger, Peter Bienstman:
Computing with Integrated Photonic Reservoirs. Reservoir Computing 2021: 397-419 - Guillaume Dion, Anouar Idrissi-El Oudrhiri, Bruno Barazani, Albert Tessier-Poirier, Julien Sylvestre:
Reservoir Computing in MEMS. Reservoir Computing 2021: 191-217 - Peter Ford Dominey:
Cortico-Striatal Origins of Reservoir Computing, Mixed Selectivity, and Higher Cognitive Function. Reservoir Computing 2021: 29-58 - Hugo Jair Escalante:
Automated Machine Learning - A Brief Review at the End of the Early Years. Automated Design of Machine Learning and Search Algorithms 2021: 11-28 - Jonathan E. Fieldsend:
Representation, Resolution, and Visualization in Multimodal Optimization. Metaheuristics for Finding Multiple Solutions 2021: 27-55 - Claudio Gallicchio, Alessio Micheli:
Deep Reservoir Computing. Reservoir Computing 2021: 77-95
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