Leonardo Vanneschi

262 papers A 30B 51C 5Misc 5Journal 105Unranked 55

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	NEVO-GSPT: Population-Based Neural Network Evolution Using Inflate and Deflate Operators. CoRR Davide Farinati, Frederico J. J. B. Santos, Leonardo Vanneschi, Mauro Castelli
2026	J	`jnl`	SLIM: the non-bloating genetic programming with geometric semantic mutations and meaningful semantic crossover. Genet. Program. Evolvable Mach. Leonardo Vanneschi, Sofia Pereira, Davide Farinati
2025	—	`conf`	A Survey of Modern Hybrid Particle Swarm Optimization Algorithms. EvoApplications (2) Matteo Grazioso, Chiara Gallese, Leonardo Vanneschi, Marco S. Nobile
2025	J	`jnl`	A survey on batch training in genetic programming. Genet. Program. Evolvable Mach. Liah Rosenfeld, Leonardo Vanneschi
2025	J	`jnl`	An Empirical Study of GM4OS for Imbalanced Binary Classification. SN Comput. Sci. Davide Farinati, Leonardo Vanneschi
2025	—	`conf`	An empirical study on the feature selection ability of SLIM-GSGP. GECCO Companion Davide Farinati, Leonardo Vanneschi
2025	B	`conf`	Exploring the Impact of Data Scale on Mutation Step Size in SLIM-GSGP. EuroGP Davide Farinati, Gloria Pietropolli, Leonardo Vanneschi
2025	B	`conf`	Exploring the Integration of Cellular Structures in Genetic Programming-Based Methods. EuroGP Luigi Rovito, Lorenzo Bonin, Davide Farinati, Leonardo Vanneschi, Luca Manzoni, Andrea De Lorenzo, Gloria Pietropolli
2025	B	`conf`	Introducing Crossover in SLIM-GSGP. EuroGP Gloria Pietropolli, Davide Farinati, Luca Manzoni, Mauro Castelli, Sara Silva, Leonardo Vanneschi
2025	J	`jnl`	Semantic-based recombination and mutation in cellular-inspired genetic programming. Genet. Program. Evolvable Mach. Luigi Rovito, Lorenzo Bonin, Davide Farinati, Leonardo Vanneschi, Luca Manzoni, Andrea De Lorenzo, Gloria Pietropolli
2025	A	`conf`	Slim_gsgp: A Python Library for Non-Bloating GSGP. GECCO Liah Rosenfeld, Davide Farinati, Diogo Rasteiro, Gloria Pietropolli, Karina Brotto Rebuli, Sara Silva, Leonardo Vanneschi
2024	J	`jnl`	A survey on dynamic populations in bio-inspired algorithms. Genet. Program. Evolvable Mach. Davide Farinati, Leonardo Vanneschi
2024	J	`jnl`	Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data. Comput. Biol. Medicine Nuno Miguel Rodrigues, José Guilherme de Almeida, Ana Sofia Castro Verde, Ana Mascarenhas Gaivão, Carlos Bilreiro, Inês Santiago, Joana Ip, Sara Belião, Raquel Moreno, Celso Matos, Leonardo Vanneschi, Manolis Tsiknakis, Kostas Marias, Daniele Regge, Sara Silva, Nickolas Papanikolaou
2024	J	`jnl`	Automatic feature extraction with Vectorial Genetic Programming for Alzheimer's Disease prediction through handwriting analysis. Swarm Evol. Comput. Irene Azzali, Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Giacobini, Leonardo Vanneschi
2024	J	`jnl`	Corrigendum to "Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data" [Comput. Biol. Med. 17 (2024) 108216]. Comput. Biol. Medicine Nuno Miguel Rodrigues, José Guilherme de Almeida, Ana Sofia Castro Verde, Ana Mascarenhas Gaivão, Carlos Bilreiro, Inês Santiago, Joana Ip, Sara Belião, Raquel Moreno, Celso Matos, Leonardo Vanneschi, Manolis Tsiknakis, Kostas Marias, Daniele Regge, Sara Silva, Nickolas Papanikolaou
2024	J	`jnl`	Exploring SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming. SN Comput. Sci. Nuno M. Rodrigues, João E. Batista, William G. La Cava, Leonardo Vanneschi, Sara Silva
2024	B	`conf`	Full Inclusive Genetic Programming. CEC Francesco Marchetti, Mauro Castelli, Illya Bakurov, Leonardo Vanneschi
2024	—	`conf`	GM4OS: An Evolutionary Oversampling Approach for Imbalanced Binary Classification Tasks. EvoApplications@EvoStar Davide Farinati, Leonardo Vanneschi
2024	J	`jnl`	Geometric semantic GP with linear scaling: Darwinian versus Lamarckian evolution. Genet. Program. Evolvable Mach. Giorgia Nadizar, Berfin Sakallioglu, Fraser Garrow, Sara Silva, Leonardo Vanneschi
2024	J	`jnl`	Geometric semantic genetic programming with normalized and standardized random programs. Genet. Program. Evolvable Mach. Illya Bakurov, Jose Manuel Muñoz Contreras, Mauro Castelli, Nuno M. Rodrigues, Sara Silva, Leonardo Trujillo, Leonardo Vanneschi
2024	B	`conf`	M6GP: Multiobjective Feature Engineering. CEC João Eduardo Batista, Nuno Miguel Rodrigues, Leonardo Vanneschi, Sara Silva
2024	B	`conf`	SLIM_GSGP: The Non-bloating Geometric Semantic Genetic Programming. EuroGP Leonardo Vanneschi
2023	—	`conf`	A Comparison of Structural Complexity Metrics for Explainable Genetic Programming. GECCO Companion Karina Brotto Rebuli, Mario Giacobini, Sara Silva, Leonardo Vanneschi
2023	J	`jnl`	A study of dynamic populations in geometric semantic genetic programming. Inf. Sci. Davide Farinati, Illya Bakurov, Leonardo Vanneschi
2023	A	`conf`	An Investigation of Geometric Semantic GP with Linear Scaling. GECCO Giorgia Nadizar, Fraser Garrow, Berfin Sakallioglu, Lorenzo Canonne, Sara Silva, Leonardo Vanneschi
2023	—	`ed.`	Artificial Life and Evolutionary Computation - 16th Italian Workshop, WIVACE 2022, Gaeta, Italy, September 14-16, 2022, Revised Selected Papers WIVACE Claudio De Stefano, Francesco Fontanella, Leonardo Vanneschi
2023	—	`conf`	Evolutionary Algorithms for Segment Optimization in Vectorial GP. GECCO Companion Philipp Fleck, Stephan M. Winkler, Michael Kommenda, Sara Silva, Leonardo Vanneschi, Michael Affenzeller
2023	—	`conf`	Feature Selection on Epistatic Problems Using Genetic Algorithms with Nested Classifiers. EvoApplications@EvoStar Pedro Carvalho, Bruno Ribeiro, Nuno M. Rodrigues, João E. Batista, Leonardo Vanneschi, Sara Silva
2023	J	`jnl`	Full-Reference Image Quality Expression via Genetic Programming. IEEE Trans. Image Process. Illya Bakurov, Marco Buzzelli, Raimondo Schettini, Mauro Castelli, Leonardo Vanneschi
2023	J	`jnl`	Introduction to the peer commentary special section on "Jaws 30" by W. B. Langdon. Genet. Program. Evolvable Mach. Leonardo Vanneschi, Leonardo Trujillo
2023	—	`book`	Lectures on Intelligent Systems Leonardo Vanneschi, Sara Silva
2023	J	`jnl`	Multi-algorithm clustering analysis for characterizing cow productivity on automatic milking systems over lactation periods. Comput. Electron. Agric. Karina Brotto Rebuli, Laura Ozella, Leonardo Vanneschi, Mario Giacobini
2023	J	`jnl`	Semantic segmentation network stacking with genetic programming. Genet. Program. Evolvable Mach. Illya Bakurov, Marco Buzzelli, Raimondo Schettini, Mauro Castelli, Leonardo Vanneschi
2023	J	`jnl`	Simplifying Fitness Landscapes Using Dilation Functions Evolved With Genetic Programming. IEEE Comput. Intell. Mag. Daniele M. Papetti, Andrea Tangherloni, Davide Farinati, Paolo Cazzaniga, Leonardo Vanneschi
2022	J	`jnl`	A novel binary classification approach based on geometric semantic genetic programming. Swarm Evol. Comput. Illya Bakurov, Mauro Castelli, Francesco Fontanella, Alessandra Scotto di Freca, Leonardo Vanneschi
2022	—	`conf`	A preliminary study of prediction interval methods with genetic programming. GECCO Companion Karina Brotto Rebuli, Mario Giacobini, Niccolò Tallone, Leonardo Vanneschi
2022	J	`jnl`	An Empirical Study of Progressive Insular Cooperative GP. SN Comput. Sci. Karina Brotto Rebuli, Leonardo Vanneschi
2022	J	`jnl`	Automatic Identification of Addresses: A Systematic Literature Review. ISPRS Int. J. Geo Inf. Paula Cruz, Leonardo Vanneschi, Marco Painho, Paulo Rita
2022	—	`conf`	EGSGP: An Ensemble System Based on Geometric Semantic Genetic Programming. WIVACE Liah Rosenfeld, Leonardo Vanneschi
2022	J	`jnl`	Few-Shot Learning for Post-Earthquake Urban Damage Detection. Remote. Sens. Eftychia Koukouraki, Leonardo Vanneschi, Marco Painho
2022	J	`jnl`	Fitness landscape analysis of convolutional neural network architectures for image classification. Inf. Sci. Nuno M. Rodrigues, Katherine M. Malan, Gabriela Ochoa, Leonardo Vanneschi, Sara Silva
2022	A	`conf`	Genetic programming for structural similarity design at multiple spatial scales. GECCO Illya Bakurov, Marco Buzzelli, Mauro Castelli, Raimondo Schettini, Leonardo Vanneschi
2022	B	`conf`	Reducing the Number of Training Cases in Genetic Programming. CEC Giacomo Zoppi, Leonardo Vanneschi, Mario Giacobini
2022	B	`conf`	SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming. EuroGP Nuno M. Rodrigues, João E. Batista, William G. La Cava, Leonardo Vanneschi, Sara Silva
2022	—	`conf`	Single and Multi-objective Genetic Programming Methods for Prediction Intervals. WIVACE Karina Brotto Rebuli, Mario Giacobini, Niccolò Tallone, Leonardo Vanneschi
2022	J	`jnl`	Structural similarity index (SSIM) revisited: A data-driven approach. Expert Syst. Appl. Illya Bakurov, Marco Buzzelli, Raimondo Schettini, Mauro Castelli, Leonardo Vanneschi
2022	B	`conf`	Vectorial GP for Alzheimer's Disease Prediction Through Handwriting Analysis. EvoApplications Irene Azzali, Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Giacobini, Leonardo Vanneschi
2021	J	`jnl`	Genetic programming for stacked generalization. Swarm Evol. Comput. Illya Bakurov, Mauro Castelli, Olivier Gau, Francesco Fontanella, Leonardo Vanneschi
2021	J	`jnl`	Improving Land Cover Classification Using Genetic Programming for Feature Construction. Remote. Sens. João E. Batista, Ana I. R. Cabral, Maria J. P. de Vasconcelos, Leonardo Vanneschi, Sara Silva
2021	J	`jnl`	Plotting time: On the usage of CNNs for time series classification. CoRR Nuno M. Rodrigues, João E. Batista, Leonardo Trujillo, Bernardo Duarte, Mario Giacobini, Leonardo Vanneschi, Sara Silva
2021	B	`conf`	Progressive Insular Cooperative GP. EuroGP Karina Brotto Rebuli, Leonardo Vanneschi
2021	J	`jnl`	Soft target and functional complexity reduction: A hybrid regularization method for genetic programming. Expert Syst. Appl. Leonardo Vanneschi, Mauro Castelli
2020	B	`conf`	A GP approach for precision farming. CEC Francesca Abbona, Leonardo Vanneschi, Marco Bona, Mario Giacobini
2020	B	`conf`	A Greedy Iterative Layered Framework for Training Feed Forward Neural Networks. EvoApplications Leonardo Lucio Custode, Ciro Lucio Tecce, Illya Bakurov, Mauro Castelli, Antonio Della Cioppa, Leonardo Vanneschi
2020	J	`jnl`	A Machine Learning Approach to Predict Air Quality in California. Complex. Mauro Castelli, Fabiana Martins Clemente, Ales Popovic, Sara Silva, Leonardo Vanneschi
2020	B	`conf`	A Study of Fitness Landscapes for Neuroevolution. CEC Nuno M. Rodrigues, Sara Silva, Leonardo Vanneschi
2020	J	`jnl`	A Study of Fitness Landscapes for Neuroevolution. CoRR Nuno M. Rodrigues, Sara Silva, Leonardo Vanneschi
2020	J	`jnl`	A Study of Generalization and Fitness Landscapes for Neuroevolution. IEEE Access Nuno M. Rodrigues, Sara Silva, Leonardo Vanneschi
2020	J	`jnl`	Computational Intelligence for Life Sciences. Fundam. Informaticae Daniela Besozzi, Luca Manzoni, Marco S. Nobile, Simone Spolaor, Mauro Castelli, Leonardo Vanneschi, Paolo Cazzaniga, Stefano Ruberto, Leonardo Rundo, Andrea Tangherloni
2020	B	`conf`	Investigating the Use of Geometric Semantic Operators in Vectorial Genetic Programming. EuroGP Irene Azzali, Leonardo Vanneschi, Mario Giacobini
2020	B	`conf`	Is k Nearest Neighbours Regression Better Than GP? EuroGP Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Sara Silva, Leonardo Trujillo
2020	J	`jnl`	Machine learning techniques to predict the effectiveness of music therapy: A randomized controlled trial. Comput. Methods Programs Biomed. Alfredo Raglio, Marcello Imbriani, Chiara Imbriani, Paola Baiardi, Sara Manzoni, Marta Gianotti, Mauro Castelli, Leonardo Vanneschi, Francisco J. Vico, Luca Manzoni
2020	—	`conf`	Parameters optimization of the Structural Similarity Index. LIM Illya Bakurov, Marco Buzzelli, Mauro Castelli, Raimondo Schettini, Leonardo Vanneschi
2020	J	`jnl`	Predicting Days on Market to Optimize Real Estate Sales Strategy. Complex. Mauro Castelli, Maria Dobreva, Roberto Henriques, Leonardo Vanneschi
2020	J	`jnl`	Towards the use of genetic programming in the ecological modelling of mosquito population dynamics. Genet. Program. Evolvable Mach. Irene Azzali, Leonardo Vanneschi, Andrea Mosca, Luigi Bertolotti, Mario Giacobini
2020	J	`jnl`	Towards the use of vector based GP to predict physiological time series. Appl. Soft Comput. Irene Azzali, Leonardo Vanneschi, Illya Bakurov, Sara Silva, Marco Ivaldi, Mario Giacobini
2020	A	`conf`	Unlabeled multi-target regression with genetic programming. GECCO Uriel López, Leonardo Trujillo, Sara Silva, Leonardo Vanneschi, Pierrick Legrand
2019	C	`conf`	A Regression-like Classification System for Geometric Semantic Genetic Programming. IJCCI Illya Bakurov, Mauro Castelli, Francesco Fontanella, Leonardo Vanneschi
2019	B	`conf`	A Vectorial Approach to Genetic Programming. EuroGP Irene Azzali, Leonardo Vanneschi, Sara Silva, Illya Bakurov, Mario Giacobini
2019	J	`jnl`	A distance between populations for Swarm Evol. Comput. Mauro Castelli, Gianpiero Cattaneo, Luca Manzoni, Leonardo Vanneschi
2019	J	`jnl`	Alignment-based genetic programming for real life applications. Swarm Evol. Comput. Leonardo Vanneschi, Mauro Castelli, Kristen M. Scott, Leonardo Trujillo
2019	—	`ch.`	Delta Rule and Backpropagation. Encyclopedia of Bioinformatics and Computational Biology (1) Leonardo Vanneschi, Mauro Castelli
2019	J	`jnl`	Evolving multidimensional transformations for symbolic regression with M3GP. Memetic Comput. Luis Muñoz, Leonardo Trujillo, Sara Silva, Mauro Castelli, Leonardo Vanneschi
2019	J	`jnl`	Forecasting performance of regional innovation systems using semantic-based genetic programming with local search optimizer. Comput. Oper. Res. Petr Hájek, Roberto Henriques, Mauro Castelli, Leonardo Vanneschi
2019	J	`jnl`	Genetic programming with semantic equivalence classes. Swarm Evol. Comput. Stefano Ruberto, Leonardo Vanneschi, Mauro Castelli
2019	J	`jnl`	Multidimensional genetic programming for multiclass classification. Swarm Evol. Comput. William G. La Cava, Sara Silva, Kourosh Danai, Lee Spector, Leonardo Vanneschi, Jason H. Moore
2019	—	`ch.`	Multilayer Perceptrons. Encyclopedia of Bioinformatics and Computational Biology (1) Leonardo Vanneschi, Mauro Castelli
2019	J	`jnl`	Multiobjective Metaheuristic to Design RNA Sequences. IEEE Trans. Evol. Comput. Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez
2019	—	`conf`	Regularization Techniques in Radiomics: A Case Study on the Prediction of pCR in Breast Tumours and the Axilla. CIBB Eunice Carrasquinha, João Santinha, Alexander Mongolin, Maria Lisitskiya, Joana Ribeiro, Fátima Cardoso, Celso Matos, Leonardo Vanneschi, Nikolaos Papanikolaou
2019	—	`ch.`	Supervised Learning: Classification. Encyclopedia of Bioinformatics and Computational Biology (1) Mauro Castelli, Leonardo Vanneschi, Álvaro Rubio-Largo
2019	B	`conf`	Supporting Medical Decisions for Treating Rare Diseases Through Genetic Programming. EvoApplications Illya Bakurov, Mauro Castelli, Leonardo Vanneschi, Maria João Freitas
2019	C	`conf`	Universal Learning Machine with Genetic Programming. IJCCI Alessandro Re, Leonardo Vanneschi, Mauro Castelli
2018	J	`jnl`	A Characteristic-Based Framework for Multiple Sequence Aligners. IEEE Trans. Cybern. Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez
2018	B	`conf`	A Multiple Expression Alignment Framework for Genetic Programming. EuroGP Leonardo Vanneschi, Kristen M. Scott, Mauro Castelli
2018	J	`jnl`	A Parallel Multiobjective Metaheuristic for Multiple Sequence Alignment. J. Comput. Biol. Álvaro Rubio-Largo, Mauro Castelli, Leonardo Vanneschi, Miguel A. Vega-Rodríguez
2018	—	`conf`	A multidimensional genetic programming approach for identifying epsistatic gene interactions. GECCO (Companion) William G. La Cava, Sara Silva, Kourosh Danai, Lee Spector, Leonardo Vanneschi, Jason H. Moore
2018	J	`jnl`	A semi-supervised Genetic Programming method for dealing with noisy labels and hidden overfitting. Swarm Evol. Comput. Sara Silva, Leonardo Vanneschi, Ana I. R. Cabral, Maria José Alves do Rio Perestrelo de Vasconcelos
2018	J	`jnl`	An artificial intelligence system for predicting customer default in e-commerce. Expert Syst. Appl. Leonardo Vanneschi, David Micha Horn, Mauro Castelli, Ales Popovic
2018	—	`conf`	EDDA-V2 - An Improvement of the Evolutionary Demes Despeciation Algorithm. PPSN (1) Illya Bakurov, Leonardo Vanneschi, Mauro Castelli, Francesco Fontanella
2018	—	`conf`	Evolving PSO algorithm design in vector fields using geometric semantic GP. GECCO (Companion) Palina Bartashevich, Illya Bakurov, Sanaz Mostaghim, Leonardo Vanneschi
2018	J	`jnl`	Improved Fully Convolutional Network with Conditional Random Fields for Building Extraction. Remote. Sens. Sanjeevan Shrestha, Leonardo Vanneschi
2018	J	`jnl`	Multiobjective characteristic-based framework for very-large multiple sequence alignment. Appl. Soft Comput. Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez
2018	—	`conf`	PSO-Based Search Rules for Aerial Swarms Against Unexplored Vector Fields via Genetic Programming. PPSN (1) Palina Bartashevich, Illya Bakurov, Sanaz Mostaghim, Leonardo Vanneschi
2018	B	`conf`	Pruning Techniques for Mixed Ensembles of Genetic Programming Models. EuroGP Mauro Castelli, Ivo Gonçalves, Luca Manzoni, Leonardo Vanneschi
2018	J	`jnl`	Pruning Techniques for Mixed Ensembles of Genetic Programming Models. CoRR Mauro Castelli, Ivo Gonçalves, Luca Manzoni, Leonardo Vanneschi
2018	J	`jnl`	Swarm intelligence for optimizing the parameters of multiple sequence aligners. Swarm Evol. Comput. Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez
2017	J	`jnl`	A Distance Between Populations for n-Points Crossover in Genetic Algorithms. CoRR Mauro Castelli, Gianpiero Cattaneo, Luca Manzoni, Leonardo Vanneschi
2017	B	`conf`	A parallel and distributed semantic Genetic Programming system. CEC Leonardo Vanneschi, Bernardo Galvão
2017	J	`jnl`	An expert system for extracting knowledge from customers' reviews: The case of Amazon.com, Inc. Expert Syst. Appl. Mauro Castelli, Luca Manzoni, Leonardo Vanneschi, Ales Popovic
2017	B	`conf`	An initialization technique for geometric semantic GP based on demes evolution and despeciation. CEC Leonardo Vanneschi, Illya Bakurov, Mauro Castelli
2017	—	`conf`	Genetic Programming Representations for Multi-dimensional Feature Learning in Biomedical Classification. EvoApplications (1) William G. La Cava, Sara Silva, Leonardo Vanneschi, Lee Spector, Jason H. Moore
2017	B	`conf`	Geometric semantic genetic programming for biomedical applications: A state of the art upgrade. CEC Leonardo Vanneschi, Mauro Castelli, Ivo Gonçalves, Luca Manzoni, Sara Silva
2017	J	`jnl`	Multi-objective genetic algorithm with variable neighbourhood search for the electoral redistricting problem. Swarm Evol. Comput. Leonardo Vanneschi, Roberto Henriques, Mauro Castelli
2017	—	`conf`	PSXO: population-wide semantic crossover. GECCO (Companion) Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Krzysztof Krawiec, Alberto Moraglio, Sara Silva, Ivo Gonçalves
2017	J	`jnl`	Prediction of ships' position by analysing AIS data: an artificial intelligence approach. Int. J. Web Eng. Technol. Leonardo Vanneschi, Mauro Castelli, Alessandro Re
2017	J	`jnl`	Reducing Alignment Time Complexity of Ultra-Large Sets of Sequences. J. Comput. Biol. Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez
2017	J	`jnl`	Stock index return forecasting: semantics-based genetic programming with local search optimiser. Int. J. Bio Inspired Comput. Mauro Castelli, Leonardo Vanneschi, Leonardo Trujillo, Ales Popovic
2017	J	`jnl`	The influence of population size in geometric semantic GP. Swarm Evol. Comput. Mauro Castelli, Luca Manzoni, Sara Silva, Leonardo Vanneschi, Ales Popovic
2017	B	`conf`	Towards the development of a complete GP system on an FPGA using geometric semantic operators. CEC Carlos A. Goribar Jiménez, Yazmín Maldonado, Leonardo Trujillo, Mauro Castelli, Ivo Gonçalves, Leonardo Vanneschi
2017	J	`jnl`	Using biological knowledge for multiple sequence aligner decision making. Inf. Sci. Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez
2016	C	`conf`	A Comparison Between Representations for Evolving Images. EvoMUSART Alessandro Re, Mauro Castelli, Leonardo Vanneschi
2016	—	`conf`	An Analysis of Geometric Semantic Crossover: A Computational Geometry Approach. IJCCI (ECTA) Mauro Castelli, Luca Manzoni, Ivo Gonçalves, Leonardo Vanneschi, Leonardo Trujillo, Sara Silva
2016	J	`jnl`	Controlling Individuals Growth in Semantic Genetic Programming through Elitist Replacement. Comput. Intell. Neurosci. Mauro Castelli, Leonardo Vanneschi, Ales Popovic
2016	—	`conf`	Local Search is Underused in Genetic Programming. GPTP Leonardo Trujillo, Emigdio Z.-Flores, Perla S. Juárez-Smith, Pierrick Legrand, Sara Silva, Mauro Castelli, Leonardo Vanneschi, Oliver Schütze, Luis Muñoz
2016	J	`jnl`	Parameter evaluation of geometric semantic genetic programming in pharmacokinetics. Int. J. Bio Inspired Comput. Mauro Castelli, Leonardo Vanneschi, Ales Popovic
2016	J	`jnl`	Prediction of relative position of CT slices using a computational intelligence system. Appl. Soft Comput. Mauro Castelli, Leonardo Trujillo, Leonardo Vanneschi, Ales Popovic
2016	J	`jnl`	Self-tuning geometric semantic Genetic Programming. Genet. Program. Evolvable Mach. Mauro Castelli, Luca Manzoni, Leonardo Vanneschi, Sara Silva, Ales Popovic
2016	J	`jnl`	Semantic genetic programming for fast and accurate data knowledge discovery. Swarm Evol. Comput. Mauro Castelli, Leonardo Vanneschi, Luca Manzoni, Ales Popovic
2015	J	`jnl`	A C++ framework for geometric semantic genetic programming. Genet. Program. Evolvable Mach. Mauro Castelli, Sara Silva, Leonardo Vanneschi
2015	J	`jnl`	A geometric semantic genetic programming system for the electoral redistricting problem. Neurocomputing Mauro Castelli, Roberto Henriques, Leonardo Vanneschi
2015	—	`conf`	An Introduction to Geometric Semantic Genetic Programming. NEO Leonardo Vanneschi
2015	Misc	`conf`	Electricity Demand Modelling with Genetic Programming. EPIA Mauro Castelli, Matteo De Felice, Luca Manzoni, Leonardo Vanneschi
2015	J	`jnl`	Energy Consumption Forecasting Using Semantic-Based Genetic Programming with Local Search Optimizer. Comput. Intell. Neurosci. Mauro Castelli, Leonardo Trujillo, Leonardo Vanneschi
2015	A	`conf`	Geometric Semantic Genetic Programming with Local Search. GECCO Mauro Castelli, Leonardo Trujillo, Leonardo Vanneschi, Sara Silva, Emigdio Z.-Flores, Pierrick Legrand
2015	B	`conf`	Improving Maritime Awareness with Semantic Genetic Programming and Linear Scaling: Prediction of Vessels Position Based on AIS Data. EvoApplications Leonardo Vanneschi, Mauro Castelli, Ernesto Costa, Alessandro Re, Henrique Vaz, Victor Sousa Lobo, Paulo Urbano
2015	—	`conf`	Multiclass Classification Through Multidimensional Clustering. GPTP Sara Silva, Luis Muñoz, Leonardo Trujillo, Vijay Ingalalli, Mauro Castelli, Leonardo Vanneschi
2014	B	`conf`	A Multi-dimensional Genetic Programming Approach for Multi-class Classification Problems. EuroGP Vijay Ingalalli, Sara Silva, Mauro Castelli, Leonardo Vanneschi
2014	—	`conf`	A hybrid Harmony search algorithm with variable neighbourhood search for the bin-packing problem. NaBIC Mauro Castelli, Leonardo Vanneschi
2014	J	`jnl`	A study of search algorithms' optimization speed. J. Comb. Optim. Andrea Valsecchi, Leonardo Vanneschi, Giancarlo Mauri
2014	J	`jnl`	A survey of semantic methods in genetic programming. Genet. Program. Evolvable Mach. Leonardo Vanneschi, Mauro Castelli, Sara Silva
2014	J	`jnl`	Corrections to "Semantic Search Based Genetic Programming and the Effect of Introns Deletion". IEEE Trans. Cybern. Mauro Castelli, Leonardo Vanneschi, Sara Silva
2014	B	`conf`	ESAGP - A Semantic GP Framework Based on Alignment in the Error Space. EuroGP Stefano Ruberto, Leonardo Vanneschi, Mauro Castelli, Sara Silva
2014	J	`jnl`	Genetic algorithm with variable neighborhood search for the optimal allocation of goods in shop shelves. Oper. Res. Lett. Mauro Castelli, Leonardo Vanneschi
2014	J	`jnl`	Geometric Selective Harmony Search. Inf. Sci. Mauro Castelli, Sara Silva, Luca Manzoni, Leonardo Vanneschi
2014	—	`conf`	How to Exploit Alignment in the Error Space: Two Different GP Models. GPTP Mauro Castelli, Leonardo Vanneschi, Sara Silva, Stefano Ruberto
2014	J	`jnl`	Improving genetic programming for the prediction of pharmacokinetic parameters. Memetic Comput. Leonardo Vanneschi
2014	J	`jnl`	Prediction of the Unified Parkinson's Disease Rating Scale assessment using a genetic programming system with geometric semantic genetic operators. Expert Syst. Appl. Mauro Castelli, Leonardo Vanneschi, Sara Silva
2014	J	`jnl`	Semantic Search-Based Genetic Programming and the Effect of Intron Deletion. IEEE Trans. Cybern. Mauro Castelli, Leonardo Vanneschi, Sara Silva, Alexandros Agapitos, Michael O'Neill
2014	—	`ch.`	Towards the Use of Genetic Programming for the Prediction of Survival in Cancer. Evolution, Complexity and Artificial Life Mario Giacobini, Paolo Provero, Leonardo Vanneschi, Giancarlo Mauri
2013	B	`conf`	A New Implementation of Geometric Semantic GP and Its Application to Problems in Pharmacokinetics. EuroGP Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Sara Silva
2013	J	`jnl`	A hybrid genetic algorithm for the repetition free longest common subsequence problem. Oper. Res. Lett. Mauro Castelli, Stefano Beretta, Leonardo Vanneschi
2013	J	`jnl`	A new genetic programming framework based on reaction systems. Genet. Program. Evolvable Mach. Luca Manzoni, Mauro Castelli, Leonardo Vanneschi
2013	Misc	`conf`	An Efficient Implementation of Geometric Semantic Genetic Programming for Anticoagulation Level Prediction in Pharmacogenetics. EPIA Mauro Castelli, Davide Castaldi, Ilaria Giordani, Sara Silva, Leonardo Vanneschi, Francesco Archetti, Daniele Maccagnola
2013	—	`conf`	An efficient implementation of geometric semantic genetic programming for anticoagulation level prediction in pharmacogenetics. GECCO (Companion) Mauro Castelli, Davide Castaldi, Leonardo Vanneschi, Ilaria Giordani, Francesco Archetti, Daniele Maccagnola
2013	—	`ed.`	Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - 11th European Conference, EvoBIO 2013, Vienna, Austria, April 3-5, 2013. Proceedings EvoBio Leonardo Vanneschi, William S. Bush, Mario Giacobini
2013	J	`jnl`	Gene regulatory networks reconstruction from time series datasets using genetic programming: a comparison between tree-based and graph-based approaches. Genet. Program. Evolvable Mach. Leonardo Vanneschi, Matteo Mondini, Martino Bertoni, Alberto Ronchi, Mattia Stefano
2013	—	`conf`	Geometric Semantic Genetic Programming for Real Life Applications. GPTP Leonardo Vanneschi, Sara Silva, Mauro Castelli, Luca Manzoni
2013	B	`conf`	Land Cover/Land Use Multiclass Classification Using GP with Geometric Semantic Operators. EvoApplications Mauro Castelli, Sara Silva, Leonardo Vanneschi, Ana I. R. Cabral, Maria J. P. de Vasconcelos, Luís Catarino, João Manuel de Brito Carreiras
2013	B	`conf`	Prediction of Forest Aboveground Biomass: An Exercise on Avoiding Overfitting. EvoApplications Sara Silva, Vijay Ingalalli, Susana Vinga, João Manuel de Brito Carreiras, Joana B. Melo, Mauro Castelli, Leonardo Vanneschi, Ivo Gonçalves, José Caldas
2013	J	`jnl`	Prediction of high performance concrete strength using Genetic Programming with geometric semantic genetic operators. Expert Syst. Appl. Mauro Castelli, Leonardo Vanneschi, Sara Silva
2012	J	`jnl`	A distance between populations for one-point crossover in genetic algorithms. Theor. Comput. Sci. Luca Manzoni, Leonardo Vanneschi, Giancarlo Mauri
2012	J	`jnl`	A study of the neutrality of Boolean function landscapes in genetic programming. Theor. Comput. Sci. Leonardo Vanneschi, Yuri Pirola, Giancarlo Mauri, Marco Tomassini, Philippe Collard, Sébastien Vérel
2012	J	`jnl`	A study on learning robustness using asynchronous 1D cellular automata rules. Nat. Comput. Leonardo Vanneschi, Giancarlo Mauri
2012	J	`jnl`	An Efficient Genetic Programming System with Geometric Semantic Operators and its Application to Human Oral Bioavailability Prediction. CoRR Mauro Castelli, Luca Manzoni, Leonardo Vanneschi
2012	—	`ch.`	An Empirical Study of Parallel and Distributed Particle Swarm Optimization. Parallel Architectures and Bioinspired Algorithms Leonardo Vanneschi, Daniele Codecasa, Giancarlo Mauri
2012	J	`jnl`	Bloat free genetic programming: application to human oral bioavailability prediction. Int. J. Data Min. Bioinform. Sara Silva, Leonardo Vanneschi
2012	—	`ed.`	Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - 10th European Conference, EvoBIO 2012, Málaga, Spain, April 11-13, 2012. Proceedings EvoBio Mario Giacobini, Leonardo Vanneschi, William S. Bush
2012	—	`conf`	Evolutionary Reaction Systems. EvoBIO Luca Manzoni, Mauro Castelli, Leonardo Vanneschi
2012	—	`conf`	GeNet: A Graph-Based Genetic Programming Framework for the Reverse Engineering of Gene Regulatory Networks. EvoBIO Leonardo Vanneschi, Matteo Mondini, Martino Bertoni, Alberto Ronchi, Mattia Stefano
2012	—	`ch.`	Genetic Programming - Introduction, Applications, Theory and Open Issues. Handbook of Natural Computing Leonardo Vanneschi, Riccardo Poli
2012	A	`conf`	Genetic programming needs better benchmarks. GECCO James McDermott, David Robert White, Sean Luke, Luca Manzoni, Mauro Castelli, Leonardo Vanneschi, Wojciech Jaskowski, Krzysztof Krawiec, Robin Harper, Kenneth A. De Jong, Una-May O'Reilly
2012	J	`jnl`	Operator equalisation for bloat free genetic programming and a survey of bloat control methods. Genet. Program. Evolvable Mach. Sara Silva, Stephen Dignum, Leonardo Vanneschi
2012	A	`conf`	Parameter tuning of evolutionary reactions systems. GECCO Mauro Castelli, Luca Manzoni, Leonardo Vanneschi
2011	J	`jnl`	A Comparative Study of Four Parallel and Distributed PSO Methods. New Gener. Comput. Leonardo Vanneschi, Daniele Codecasa, Giancarlo Mauri
2011	Misc	`conf`	A Method to Reuse Old Populations in Genetic Algorithms. EPIA Mauro Castelli, Luca Manzoni, Leonardo Vanneschi
2011	—	`conf`	A New Evolutionary Gene Regulatory Network Reverse Engineering Tool. EvoBio Antonella Farinaccio, Leonardo Vanneschi, Paolo Provero, Giancarlo Mauri, Mario Giacobini
2011	B	`conf`	A Quantitative Study of Learning and Generalization in Genetic Programming. EuroGP Mauro Castelli, Luca Manzoni, Sara Silva, Leonardo Vanneschi
2011	J	`jnl`	A comparison of machine learning techniques for survival prediction in breast cancer. BioData Min. Leonardo Vanneschi, Antonella Farinaccio, Giancarlo Mauri, Marco Antoniotti, Paolo Provero, Mario Giacobini
2011	B	`conf`	An Empirical Study of Functional Complexity as an Indicator of Overfitting in Genetic Programming. EuroGP Leonardo Trujillo, Sara Silva, Pierrick Legrand, Leonardo Vanneschi
2011	—	`ch.`	Evolutionary Computation: A Brief Overview. Genetic and Evolutionary Computation: Medical Applications Stefano Cagnoni, Leonardo Vanneschi
2011	J	`jnl`	Hot topics in Evolutionary Computation. Intelligenza Artificiale Leonardo Vanneschi, Luca Mussi, Stefano Cagnoni
2011	B	`conf`	How Far Is It from Here to There? A Distance That Is Coherent with GP Operators. EuroGP James McDermott, Una-May O'Reilly, Leonardo Vanneschi, Kalyan Veeramachaneni
2011	—	`conf`	Multi Objective Genetic Programming for Feature Construction in Classification Problems. LION Mauro Castelli, Luca Manzoni, Leonardo Vanneschi
2011	J	`jnl`	NK landscapes difficulty and Negative Slope Coefficient: How Sampling Influences the Results CoRR Leonardo Vanneschi, Sébastien Vérel, Philippe Collard, Marco Tomassini
2011	A	`conf`	The K landscapes: a tunably difficult benchmark for genetic programming. GECCO Leonardo Vanneschi, Mauro Castelli, Luca Manzoni
2011	—	`conf`	The effect of selection from old populations in genetic algorithms. GECCO (Companion) Mauro Castelli, Luca Manzoni, Leonardo Vanneschi
2010	—	`conf`	A Study on Gene Regulatory Network Reconstruction and Simulation. WIRN Antonella Farinaccio, Leonardo Vanneschi, Paolo Provero, Giancarlo Mauri, Mario Giacobini
2010	—	`conf`	A Study on the Automatic Generation of Asynchronous Cellular Automata Rules by Means of Genetic Algorithms. ACRI Andrea Valsecchi, Leonardo Vanneschi, Giancarlo Mauri
2010	B	`conf`	A comparison of the generalization ability of different genetic programming frameworks. IEEE Congress on Evolutionary Computation Mauro Castelli, Luca Manzoni, Sara Silva, Leonardo Vanneschi
2010	—	`conf`	A study of parallel and distributed particle swarm optimization methods. BADS@ICAC Leonardo Vanneschi, Daniele Codecasa, Giancarlo Mauri
2010	A	`conf`	An empirical comparison of parallel and distributed particle swarm optimization methods. GECCO Leonardo Vanneschi, Daniele Codecasa, Giancarlo Mauri
2010	A	`conf`	Definition of a crossover based distance for genetic algorithms. GECCO Luca Manzoni, Leonardo Vanneschi, Giancarlo Mauri
2010	—	`conf`	Fitness landscapes and problem hardness in genetic programming. GECCO (Companion) Leonardo Vanneschi
2010	—	`conf`	Genetic Algorithms for Training Data and Polynomial Optimization in Colorimetric Characterization of Scanners. EvoApplications (1) Leonardo Vanneschi, Mauro Castelli, Simone Bianco, Raimondo Schettini
2010	J	`jnl`	Genetic programming for QSAR investigation of docking energy. Appl. Soft Comput. Francesco Archetti, Ilaria Giordani, Leonardo Vanneschi
2010	J	`jnl`	Genetic programming for anticancer therapeutic response prediction using the NCI-60 dataset. Comput. Oper. Res. Francesco Archetti, Ilaria Giordani, Leonardo Vanneschi
2010	J	`jnl`	Guest editorial: special issue on parallel and distributed evolutionary algorithms, part two. Genet. Program. Evolvable Mach. Marco Tomassini, Leonardo Vanneschi
2010	—	`conf`	Identification of Individualized Feature Combinations for Survival Prediction in Breast Cancer: A Comparison of Machine Learning Techniques. EvoBIO Leonardo Vanneschi, Antonella Farinaccio, Mario Giacobini, Giancarlo Mauri, Marco Antoniotti, Paolo Provero
2010	A	`conf`	Measuring bloat, overfitting and functional complexity in genetic programming. GECCO Leonardo Vanneschi, Mauro Castelli, Sara Silva
2010	A	`conf`	On the use of genetic programming for the prediction of survival in cancer. GECCO Antonella Farinaccio, Leonardo Vanneschi, Mario Giacobini, Giancarlo Mauri, Paolo Provero
2010	J	`jnl`	Open issues in genetic programming. Genet. Program. Evolvable Mach. Michael O'Neill, Leonardo Vanneschi, Steven M. Gustafson, Wolfgang Banzhaf
2010	A	`conf`	Optimization speed and fair sets of functions. GECCO Andrea Valsecchi, Leonardo Vanneschi, Giancarlo Mauri
2010	—	`conf`	State-of-the-Art Genetic Programming for Predicting Human Oral Bioavailability of Drugs. IWPACBB Sara Silva, Leonardo Vanneschi
2010	J	`jnl`	Theoretical results in genetic programming: the next ten years? Genet. Program. Evolvable Mach. Riccardo Poli, Leonardo Vanneschi, William B. Langdon, Nicholas Freitag McPhee
2009	—	`conf`	A Comparison of Genetic Algorithms and Particle Swarm Optimization for Parameter Estimation in Stochastic Biochemical Systems. EvoBIO Daniela Besozzi, Paolo Cazzaniga, Giancarlo Mauri, Dario Pescini, Leonardo Vanneschi
2009	C	`conf`	A Study of Genetic Programming Variable Population Size for Dynamic Optimization Problems. IJCCI Leonardo Vanneschi, Giuseppe Cuccu
2009	J	`jnl`	Cellular Automata Pattern Recognition and Rule Evolution Through a Neuro-Genetic Approach. J. Cell. Autom. Stefania Bandini, Leonardo Vanneschi, Andrew Wuensche, Alessandro Bahgat Shehata
2009	B	`conf`	Empirical modeling for colorimetric characterization of digital cameras. ICIP Simone Bianco, Raimondo Schettini, Leonardo Vanneschi
2009	—	`conf`	Fitness landscapes and problem hardness in genetic programming. GECCO (Companion) Leonardo Vanneschi
2009	B	`ed.`	Genetic Programming, 12th European Conference, EuroGP 2009, Tübingen, Germany, April 15-17, 2009, Proceedings EuroGP Leonardo Vanneschi, Steven M. Gustafson, Alberto Moraglio, Ivanoe De Falco, Marc Ebner
2009	J	`jnl`	Introduction: special issue on parallel and distributed evolutionary algorithms, part I. Genet. Program. Evolvable Mach. Marco Tomassini, Leonardo Vanneschi
2009	A	`conf`	Limitations of the fitness-proportional negative slope coefficient as a difficulty measure. GECCO Leonardo Vanneschi, Andrea Valsecchi, Riccardo Poli
2009	—	`conf`	NK Landscapes Difficulty and Negative Slope Coefficient: How Sampling Influences the Results. EvoWorkshops Leonardo Vanneschi, Sébastien Vérel, Marco Tomassini, Philippe Collard
2009	A	`conf`	Operator equalisation, bloat and overfitting: a study on human oral bioavailability prediction. GECCO Sara Silva, Leonardo Vanneschi
2009	Misc	`conf`	Using Operator Equalisation for Prediction of Drug Toxicity with Genetic Programming. EPIA Leonardo Vanneschi, Sara Silva
2009	A	`conf`	Using crossover based similarity measure to improve genetic programming generalization ability. GECCO Leonardo Vanneschi, Steven M. Gustafson
2009	A	`conf`	Variable size population for dynamic optimization with genetic programming. GECCO Leonardo Vanneschi, Giuseppe Cuccu
2008	—	`conf`	A Critical Assessment of Some Variants of Particle Swarm Optimization. EvoWorkshops Stefano Cagnoni, Leonardo Vanneschi, Antonia Azzini, Andrea Tettamanzi
2008	J	`jnl`	A Neuro-Genetic Framework for Pattern Recognition in Complex Systems. Fundam. Informaticae Stefania Bandini, Leonardo Vanneschi, Andrew Wuensche, Alessandro Bahgat Shehata
2008	—	`conf`	A Study of Some Implications of the No Free Lunch Theorem. EvoWorkshops Andrea Valsecchi, Leonardo Vanneschi
2008	—	`conf`	An Evolutionary Framework for Colorimetric Characterization of Scanners. EvoWorkshops Simone Bianco, Francesca Gasparini, Raimondo Schettini, Leonardo Vanneschi
2008	J	`jnl`	Crossover-Based Tree Distance in Genetic Programming. IEEE Trans. Evol. Comput. Steven M. Gustafson, Leonardo Vanneschi
2008	A	`conf`	Elitism reduces bloat in genetic programming. GECCO Riccardo Poli, Nicholas Freitag McPhee, Leonardo Vanneschi
2008	—	`conf`	Evolving robust cellular automata rules with genetic programming. Automata Stefania Bandini, Sara Manzoni, Leonardo Vanneschi
2008	—	`conf`	GP Generation of Pedestrian Behavioral Rules in an Evacuation Model Based on SCA. ACRI Stefania Bandini, Sara Manzoni, Giancarlo Mauri, Stefano Redaelli, Leonardo Vanneschi
2008	B	`ed.`	Genetic Programming, 11th European Conference, EuroGP 2008, Naples, Italy, March 26-28, 2008. Proceedings EuroGP Michael O'Neill, Leonardo Vanneschi, Steven M. Gustafson, Anna Esparcia-Alcázar, Ivanoe De Falco, Antonio Della Cioppa, Ernesto Tarantino
2008	—	`conf`	Negative Slope Coefficient and the Difficulty of Random 3-SAT Instances. EvoWorkshops Marco Tomassini, Leonardo Vanneschi
2008	J	`jnl`	Neutral Fitness Landscape in the Cellular Automata Majority Problem CoRR Sébastien Vérel, Philippe Collard, Marco Tomassini, Leonardo Vanneschi
2008	J	`jnl`	Polynomial modeling and optimization for colorimetric characterization of scanners. J. Electronic Imaging Simone Bianco, Francesca Gasparini, Raimondo Schettini, Leonardo Vanneschi
2008	A	`conf`	The impact of population size on code growth in GP: analysis and empirical validation. GECCO Riccardo Poli, Nicholas Freitag McPhee, Leonardo Vanneschi
2007	B	`conf`	A Comprehensive View of Fitness Landscapes with Neutrality and Fitness Clouds. EuroGP Leonardo Vanneschi, Marco Tomassini, Philippe Collard, Sébastien Vérel, Yuri Pirola, Giancarlo Mauri
2007	J	`jnl`	Fitness landscape of the cellular automata majority problem: View from the "Olympus". Theor. Comput. Sci. Sébastien Vérel, Philippe Collard, Marco Tomassini, Leonardo Vanneschi
2007	J	`jnl`	Fitness landscape of the cellular automata majority problem: View from the Olympus CoRR Sébastien Vérel, Philippe Collard, Marco Tomassini, Leonardo Vanneschi
2007	—	`conf`	Fitness landscapes and problem hardness in evolutionary computation. GECCO (Companion) Leonardo Vanneschi, Sébastien Vérel
2007	A	`conf`	Fitness-proportional negative slope coefficient as a hardness measure for genetic algorithms. GECCO Riccardo Poli, Leonardo Vanneschi
2007	—	`conf`	Genetic Programming and Other Machine Learning Approaches to Predict Median Oral Lethal Dose (LD EvoBIO Francesco Archetti, Stefano Lanzeni, Enza Messina, Leonardo Vanneschi
2007	B	`ed.`	Genetic Programming, 10th European Conference, EuroGP 2007, Valencia, Spain, April 11-13, 2007, Proceedings EuroGP Marc Ebner, Michael O'Neill, Anikó Ekárt, Leonardo Vanneschi, Anna Esparcia-Alcázar
2007	J	`jnl`	Genetic programming for computational pharmacokinetics in drug discovery and development. Genet. Program. Evolvable Mach. Francesco Archetti, Stefano Lanzeni, Enza Messina, Leonardo Vanneschi
2007	A	`conf`	Multi-optimization improves genetic programming generalization ability. GECCO Leonardo Vanneschi, Denis Rochat, Marco Tomassini
2006	A	`conf`	A quantitative study of neutrality in GP boolean landscapes. GECCO Leonardo Vanneschi, Yuri Pirola, Philippe Collard
2006	—	`conf`	Automatic Detection of Go-Based Patterns in CA Model of Vegetable Populations: Experiments on ACRI Stefania Bandini, Sara Manzoni, Stefano Redaelli, Leonardo Vanneschi
2006	—	`conf`	Classifying and Counting Vehicles in Traffic Control Applications. EvoWorkshops Francesco Archetti, Enza Messina, Daniele Toscani, Leonardo Vanneschi
2006	Misc	`conf`	Emergent Spatial Patterns in Vegetable Population Dynamics: Towards Pattern Detection and Interpretation. International Conference on Computational Science (3) Stefania Bandini, Sara Manzoni, Stefano Redaelli, Leonardo Vanneschi
2006	A	`conf`	Genetic programming for human oral bioavailability of drugs. GECCO Francesco Archetti, Stefano Lanzeni, Enza Messina, Leonardo Vanneschi
2006	A	`conf`	Heterogeneous cooperative coevolution: strategies of integration between GP and GA. GECCO Leonardo Vanneschi, Giancarlo Mauri, Andrea Valsecchi, Stefano Cagnoni
2006	B	`conf`	Negative Slope Coefficient: A Measure to Characterize Genetic Programming Fitness Landscapes. EuroGP Leonardo Vanneschi, Marco Tomassini, Philippe Collard, Sébastien Vérel
2006	—	`conf`	Neutral Fitness Landscape in the Cellular Automata Majority Problem. ACRI Sébastien Vérel, Philippe Collard, Marco Tomassini, Leonardo Vanneschi
2006	B	`conf`	Using Subtree Crossover Distance to Investigate Genetic Programming Dynamics. EuroGP Leonardo Vanneschi, Steven M. Gustafson, Giancarlo Mauri
2005	J	`jnl`	A Study of Fitness Distance Correlation as a Difficulty Measure in Genetic Programming. Evol. Comput. Marco Tomassini, Leonardo Vanneschi, Philippe Collard, Manuel Clergue
2005	—	`conf`	A Survey of Problem Difficulty in Genetic Programming. AI*IA Leonardo Vanneschi, Marco Tomassini, Philippe Collard, Manuel Clergue
2005	B	`conf`	A purely evolutionary memetic algorithm as a first step towards symbiotic coevolution. Congress on Evolutionary Computation Stefano Cagnoni, Daniel Rivero, Leonardo Vanneschi
2005	B	`conf`	Dynamic Size Populations in Distributed Genetic Programming. EuroGP Denis Rochat, Marco Tomassini, Leonardo Vanneschi
2005	B	`conf`	Operator-Based Distance for Genetic Programming: Subtree Crossover Distance. EuroGP Steven M. Gustafson, Leonardo Vanneschi
2004	B	`conf`	A new technique for dynamic size populations in genetic programming. IEEE Congress on Evolutionary Computation Marco Tomassini, Leonardo Vanneschi, Jerome Cuendet, Francisco Fernández
2004	—	`conf`	Fitness Clouds and Problem Hardness in Genetic Programming. GECCO (2) Leonardo Vanneschi, Manuel Clergue, Philippe Collard, Marco Tomassini, Sébastien Vérel
2003	—	`conf`	A Study of Diversity in Multipopulation Genetic Programming. Artificial Evolution Marco Tomassini, Leonardo Vanneschi, Francisco Fernández, Germán Galeano Gil
2003	J	`jnl`	An Empirical Study of Multipopulation Genetic Programming. Genet. Program. Evolvable Mach. Francisco Fernández, Marco Tomassini, Leonardo Vanneschi
2003	A	`conf`	Difficulty of Unimodal and Multimodal Landscapes in Genetic Programming. GECCO Leonardo Vanneschi, Marco Tomassini, Manuel Clergue, Philippe Collard
2003	B	`conf`	Diversity analysis in cellular and multipopulation genetic programming. IEEE Congress on Evolutionary Computation Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano, Leonardo Vanneschi, Marco Tomassini
2003	A	`conf`	Diversity in Multipopulation Genetic Programming. GECCO Marco Tomassini, Leonardo Vanneschi, Francisco Fernández, Germán Galeano Gil
2003	B	`conf`	Fitness Distance Correlation in Structural Mutation Genetic Programming. EuroGP Leonardo Vanneschi, Marco Tomassini, Philippe Collard, Manuel Clergue
2003	B	`conf`	Fitness distance correlation in genetic programming: a constructive counterexample. IEEE Congress on Evolutionary Computation Leonardo Vanneschi, Marco Tomassini, Philippe Collard, Manuel Clergue
2003	B	`conf`	Saving computational effort in genetic programming by means of plagues. IEEE Congress on Evolutionary Computation Francisco Fernández, Marco Tomassini, Leonardo Vanneschi
2003	B	`conf`	The Effect of Plagues in Genetic Programming: A Study of Variable-Size Populations. EuroGP Francisco Fernández, Leonardo Vanneschi, Marco Tomassini
2002	A	`conf`	Experimental Investigation of Three Distributed Genetic Programming Models. PPSN Marco Tomassini, Leonardo Vanneschi, Francisco Fernández, Germán Galeano Gil
2002	A	`conf`	Fitness Distance Correlation And Problem Difficulty For Genetic Programming. GECCO Manuel Clergue, Philippe Collard, Marco Tomassini, Leonardo Vanneschi
2002	A	`conf`	How Statistics Can Help In Limiting The Number Of Fitness Cases In Genetic Programming. GECCO Mario Giacobini, Marco Tomassini, Leonardo Vanneschi
2002	A	`conf`	Limiting the Number of Fitness Cases in Genetic Programming Using Statistics. PPSN Mario Giacobini, Marco Tomassini, Leonardo Vanneschi
2002	B	`conf`	Studying the influence of synchronous and asynchronous parallel GP on programs length evolution. IEEE Congress on Evolutionary Computation Germán Galeano Gil, Francisco Fernández, Marco Tomassini, Leonardo Vanneschi
2001	B	`conf`	Studying the Influence of Communication Topology and Migration on Distributed Genetic Programming. EuroGP Francisco Fernández, Marco Tomassini, Leonardo Vanneschi
2000	—	`conf`	A Distributed Computing Environment for Genetic Programming Using MPI. PVM/MPI Francisco Fernández, Marco Tomassini, Leonardo Vanneschi, Laurent Bucher
2000	C	`conf`	An MPI-Based Tool for Distributed Genetic Programming. CLUSTER Marco Tomassini, Leonardo Vanneschi, Laurent Bucher, Francisco Fernández