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2020 – today
- 2023
[c16]John Rego Hamilton, Anikó Ekárt
, Alina Patelli:
Predicting Normal and Anomalous Urban Traffic with Vectorial Genetic Programming and Transfer Learning. EvoApplications@EvoStar 2023: 519-535- 2022
- [c15]Alina Patelli, John Rego Hamilton, Victoria Lush, Anikó Ekárt:
A GENTLER Approach to Urban Traffic Modelling and Prediction. CEC 2022: 1-8 - 2020
- [c14]Anikó Ekárt, Alina Patelli, Victoria Lush, Elisabeth Ilie Zudor:
Genetic Programming with Transfer Learning for Urban Traffic Modelling and Prediction. CEC 2020: 1-8 - [c13]Alina Patelli, Tony Beaumont, Gareth James:
How to Successfully Run a Digital Apprenticeship: The Programming Boot Camp Case Study. CEP 2020: 3:1-3:4 - [i1]Alina Patelli, Victoria Lush, Anikó Ekárt, Elisabeth Ilie Zudor:
Traffic Modelling and Prediction via Symbolic Regression on Road Sensor Data. CoRR abs/2002.06095 (2020)
2010 – 2019
- 2018
- [c12]David Burth Kurka, Jeremy Pitt, Peter R. Lewis, Alina Patelli, Anikó Ekárt:
Disobedience as a Mechanism of Change. SASO 2018: 1-10 - 2017
- [b1]Alina Patelli:
Knowledge-centric autonomic systems. Aston University, Birmingham, UK, 2017 - [j2]Alina Patelli, Peter R. Lewis, Anikó Ekárt, Hai H. Wang, Ian T. Nabney, David Bennett, Ralph Lucas, Alex Cole:
An architecture for the autonomic curation of crowdsourced knowledge. Clust. Comput. 20(3): 2031-2046 (2017) - [c11]Anikó Ekárt, Alina Patelli, Victoria Lush, Elisabeth Ilie Zudor:
Gaining insights into road traffic data through genetic improvement. GECCO (Companion) 2017: 1511-1512 - 2016
- [c10]Alina Patelli, Peter R. Lewis, Hai H. Wang, Ian T. Nabney, David Bennett, Ralph Lucas, Alex Cole:
Autonomic Curation of Crowdsourced Knowledge: The Case of Career Data Management. ICCAC 2016: 40-49 - 2015
- [j1]Hai H. Wang, Nick Gibbins, Terry R. Payne, Alina Patelli, Yangang Wang:
A survey of Semantic Web Services formalisms. Concurr. Comput. Pract. Exp. 27(15): 4053-4072 (2015) - [c9]Alina Patelli, Nelly Bencomo, Anikó Ekárt, Harry Goldingay, Peter R. Lewis:
Two-B or not Two-B?: Design Patterns for Hybrid Metaheuristics. GECCO (Companion) 2015: 1269-1274 - 2013
- [c8]Hai H. Wang, Nick Gibbins, Terry R. Payne, Alina Patelli:
A Survey of Semantic Web Services Formalisms. SKG 2013: 135-142 - 2011
- [c7]Alina Patelli, Lavinia Ferariu:
Regressor Survival Rate Estimation for Enhanced Crossover Configuration. ICANNGA (1) 2011: 290-299 - [c6]Alina Patelli, Lavinia Ferariu:
A regressive schema theory based tool for GP evolved nonlinear models. ICAC 2011: 201-206 - 2010
- [c5]Alina Patelli, Lavinia Ferariu:
Elitist multiobjective nonlinear systems identification with insular evolution and diversity preservation. IEEE Congress on Evolutionary Computation 2010: 1-6 - [c4]Alina Patelli, Lavinia Ferariu:
Increasing crossover operator efficiency in multiobjective nonlinear systems identification. IEEE Conf. of Intelligent Systems 2010: 426-431
2000 – 2009
- 2009
- [c3]Alina Patelli, Lavinia Ferariu:
Nonlinear system identification by means of genetic programming. ECC 2009: 502-507 - [c2]Lavinia Ferariu, Alina Patelli:
Multiobjective Genetic Programming for Nonlinear System Identification. ICANNGA 2009: 233-242 - [c1]Lavinia Ferariu, Alina Patelli:
Migration-based multiobjective genetic programming for nonlinear system identification. SACI 2009: 475-480
Coauthor Index
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