Automatic Detection of Meddies Through Texture Analysis of Sea Surface Temperature Maps. - Marco Castellani 001; Nuno C. Marques (EPIA, 2005)

ANNE - A New Algorithm for Evolution of Artificial Neural Network Classifier Systems. - Marco Castellani 001 (IEEE Congress on Evolutionary Computation, 2006)

Evolutionary learning of fuzzy models. - Duc Truong Pham; Marco Castellani 001 (Eng. Appl. Artif. Intell., 2006)

The Bees Algorithm and Mechanical Design Optimisation. - Duc Truong Pham; Marco Castellani 001; M. Sholedolu; A. Ghanbarzadeh (ICINCO-ICSO, 2008)

Evolutionary feature selection for artificial neural network pattern classifiers. - D. T. Pham; Marco Castellani 001; Ashraf A. Fahmy (INDIN, 2009)

Evolutionary Artificial Neural Network Design and Training for wood veneer classification. - Marco Castellani 001; Hefin Rowlands (Eng. Appl. Artif. Intell., 2009)

Dynamic optimisation by a modified bees algorithm. - Marco Castellani 001; Q. Tuan Pham; Duc Truong Pham (J. Syst. Control. Eng., 2012)

Automatic design of control systems for robot manipulators using the bees algorithm. - Ashraf A. Fahmy; Mete Kalyoncu; Marco Castellani 001 (J. Syst. Control. Eng., 2012)

A modified bees algorithm and a statistics-based method for tuning its parameters. - Q. Tuan Pham; Duc Truong Pham; Marco Castellani 001 (J. Syst. Control. Eng., 2012)

Evolutionary generation of neural network classifiers - An empirical comparison. - Marco Castellani 001 (Neurocomputing, 2013)

Benchmarking and comparison of nature-inspired population-based continuous optimisation algorithms. - Duc Truong Pham; Marco Castellani 001 (Soft Comput., 2014)

Nature-Inspired Intelligent Optimisation Using the Bees Algorithm. - Duc Truong Pham; Marco Castellani 001; Le Thi Hoai An (Trans. Comput. Collect. Intell., 2014)

Prediction of Long-Term Government Bond Yields Using Statistical and Artificial Intelligence Methods. - Marco Castellani 001; Emanuel A. dos Santos (Innovations in Intelligent Machines (4), 2014)

Analysis of the inertia and dynamics of grasped objects, for choosing optimal grasps to enable torque-efficient post-grasp manipulations. - Nikos Mavrakis; Amir M. Ghalamzan E.; Rustam Stolkin; Luca Baronti; Marek Sewer Kopicki; Marco Castellani 001 (Humanoids, 2016)

Optimisation of Engineering Systems With the Bees Algorithm. - Duc Truong Pham; Luca Baronti; Biao Zhang; Marco Castellani 001 (Int. J. Artif. Life Res., 2018)

Competitive co-evolution of multi-layer perceptron classifiers. - Marco Castellani 001 (Soft Comput., 2018)

Printed circuit board assembly time minimisation using a novel Bees Algorithm. - Marco Castellani 001; Sameh Otri; Duc Truong Pham (Comput. Ind. Eng., 2019)

Time-Optimal Trajectory Planning Based on Dynamics for Industrial Robot. - Rundong Wang; Minxiu Kong; Yanchun Cheng; Marco Castellani 001 (CACRE, 2020)

An analysis of the search mechanisms of the bees algorithm. - Luca Baronti; Marco Castellani 001; Duc Truong Pham (Swarm Evol. Comput., 2020)

Automatic identification of mechanical parts for robotic disassembly using the PointNet deep neural network. - Senjing Zheng; Feiying Lan; Luca Baronti; Duc Truong Pham; Marco Castellani 001 (Int. J. Manuf. Res., 2022)

Online Hierarchical Conformance Refinement Planning for Autonomous Robots. - Oliver Michael Kamperis; Yongjing Wang; Marco Castellani 001 (ICAC, 2023)

A competitive learning scheme for deep neural network pattern classifier training. - Senjing Zheng; Feiying Lan; Marco Castellani 001 (Appl. Soft Comput., 2023)

A Python Benchmark Functions Framework for Numerical Optimisation Problems. - Luca Baronti; Marco Castellani 001 (CoRR, 2024)

The SVD-enhanced bees algorithm, a novel procedure for point cloud registration. - Feiying Lan; Marco Castellani 001; Senjing Zheng; Yongjing Wang (Swarm Evol. Comput., 2024)