EALS

Publications

2014

Dharshana Kasthurirathna, Mahendra Piraveenan
Topological stability of evolutionarily unstable strategies. EALS (2014)
Prapa Rattadilok, Andrei Petrovski
Self-learning data processing framework based on computational intelligence enhancing autonomous control by machine intelligence. EALS (2014)
Di Wang, Ahmad Al-Rubaie, John Davies, Sandra Stincic Clarke
Real time road traffic monitoring alert based on incremental learning from tweets. EALS (2014)
Ahmet Yarimcam, Shahriar Asta, Ender Ozcan, Andrew J. Parkes
Heuristic generation via parameter tuning for online bin packing. EALS (2014)
Orlando Donato Rocha Filho, Ginalber Luiz de Oliveira Serra
Evolving maximum likelihood clustering algorithm. EALS (2014)
José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
An ensemble method based on evolving classifiers: eStacking. EALS (2014)
Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini
Recursive possibilistic fuzzy modeling. EALS (2014)
Plamen Angelov
Anomaly detection based on eccentricity analysis. EALS (2014)
IEEE Symposium on Evolving and Autonomous Learning Systems, EALS 2014, Orlando, FL, USA, December 9-12, 2014 EALS (2014)
Richard Hyde, Plamen Angelov
A fully autonomous Data Density based Clustering technique. EALS (2014)
Andrew L. Nelson
Embodied artificial life at an impasse can evolutionary robotics methods be scaled? EALS (2014)
Mahardhika Pratama, Jie Lu, Sreenatha G. Anavatti, José Antonio Iglesias
A recurrent meta-cognitive-based Scaffolding classifier from data streams. EALS (2014)
Takashi Kawabe, Masaki Suzuki, Taro Matsumaru, Yukiko Yamamoto, Setsuo Tsuruta, Yoshitaka Sakurai, Rainer Knauf
Distributed GAs with case-based initial populations for real-time solution of combinatorial problems. EALS (2014)
Pouria Sadeghi-Tehran, Christopher Clarke, Plamen Angelov
A real-time approach for autonomous detection and tracking of moving objects from UAV. EALS (2014)
Shahriar Asta, Ender Ozcan
An apprenticeship learning hyper-heuristic for vehicle routing in HyFlex. EALS (2014)
Maryam Gholami Doborjeh, Elisa Capecci, Nikola K. Kasabov
Classification and segmentation of fMRI Spatio-Temporal Brain Data with a NeuCube evolving Spiking Neural Network model. EALS (2014)
José Antonio Iglesias, David Griol, Agapito Ledezma, Araceli Sanchis
Influence of the data codification when applying evolving classifiers to develop spoken dialog systems. EALS (2014)
Plamen Angelov, Ashley Wilding
RTSDE: Recursive total-sum-distances-based density estimation approach and its application for autonomous real-time video analytics. EALS (2014)
Pascal Held, Alexander Dockhorn, Rudolf Kruse
On merging and dividing of Barabási-Albert-graphs. EALS (2014)