A survey on river water quality modelling using artificial intelligence models: 2000–2020

TM Tung, ZM Yaseen - Journal of Hydrology, 2020 - Elsevier
There has been an unsettling rise in the river contamination due to the climate change and
anthropogenic activities. Last decades' research has immensely focussed on river basin …

Explainable artificial intelligence by genetic programming: A survey

Y Mei, Q Chen, A Lensen, B Xue… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Explainable artificial intelligence (XAI) has received great interest in the recent decade, due
to its importance in critical application domains, such as self-driving cars, law, and …

The surprising creativity of digital evolution: A collection of anecdotes from the evolutionary computation and artificial life research communities

J Lehman, J Clune, D Misevic, C Adami, L Altenberg… - Artificial life, 2020 - direct.mit.edu
Evolution provides a creative fount of complex and subtle adaptations that often surprise the
scientists who discover them. However, the creativity of evolution is not limited to the natural …

Is the cure worse than the disease? overfitting in automated program repair

EK Smith, ET Barr, C Le Goues, Y Brun - … of the 2015 10th Joint Meeting …, 2015 - dl.acm.org
Automated program repair has shown promise for reducing the significant manual effort
debugging requires. This paper addresses a deficit of earlier evaluations of automated …

Whole test suite generation

G Fraser, A Arcuri - IEEE Transactions on Software Engineering, 2012 - ieeexplore.ieee.org
Not all bugs lead to program crashes, and not always is there a formal specification to check
the correctness of a software test's outcome. A common scenario in software testing is …

Genetic programming needs better benchmarks

J McDermott, DR White, S Luke, L Manzoni… - Proceedings of the 14th …, 2012 - dl.acm.org
Genetic programming (GP) is not a field noted for the rigor of its benchmarking. Some of its
benchmark problems are popular purely through historical contingency, and they can be …

Cartesian genetic programming: its status and future

JF Miller - Genetic Programming and Evolvable Machines, 2020 - Springer
Cartesian genetic programming, a well-established method of genetic programming, is
approximately 20 years old. It represents solutions to computational problems as graphs. Its …

Balancing privacy and utility in cross-company defect prediction

F Peters, T Menzies, L Gong… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
Background: Cross-company defect prediction (CCDP) is a field of study where an
organization lacking enough local data can use data from other organizations for building …

Evolutionary generation of whole test suites

G Fraser, A Arcuri - 2011 11th International Conference on …, 2011 - ieeexplore.ieee.org
Recent advances in software testing allow automatic derivation of tests that reach almost
any desired point in the source code. There is, however, a fundamental problem with the …

Measuring bloat, overfitting and functional complexity in genetic programming

L Vanneschi, M Castelli, S Silva - … of the 12th annual conference on …, 2010 - dl.acm.org
Recent contributions clearly show that eliminating bloat in a genetic programming system
does not necessarily eliminate overfitting and vice-versa. This fact seems to contradict a …