An MPI-Based Tool for Distributed Genetic Programming. - Marco Tomassini; Leonardo Vanneschi; Laurent Bucher; Francisco Fernández 001 (CLUSTER, 2000)

A Distributed Computing Environment for Genetic Programming Using MPI. - Francisco Fernández 001; Marco Tomassini; Leonardo Vanneschi; Laurent Bucher (PVM/MPI, 2000)

Studying the Influence of Communication Topology and Migration on Distributed Genetic Programming. - Francisco Fernández 001; Marco Tomassini; Leonardo Vanneschi (EuroGP, 2001)

Studying the influence of synchronous and asynchronous parallel GP on programs length evolution. - Germán Galeano Gil; Francisco Fernández 001; Marco Tomassini; Leonardo Vanneschi (IEEE Congress on Evolutionary Computation, 2002)

Fitness Distance Correlation And Problem Difficulty For Genetic Programming. - Manuel Clergue; Philippe Collard; Marco Tomassini; Leonardo Vanneschi (GECCO, 2002)

How Statistics Can Help In Limiting The Number Of Fitness Cases In Genetic Programming. - Mario Giacobini; Marco Tomassini; Leonardo Vanneschi (GECCO, 2002)

Limiting the Number of Fitness Cases in Genetic Programming Using Statistics. - Mario Giacobini; Marco Tomassini; Leonardo Vanneschi (PPSN, 2002)

Experimental Investigation of Three Distributed Genetic Programming Models. - Marco Tomassini; Leonardo Vanneschi; Francisco Fernández 001; Germán Galeano Gil (PPSN, 2002)

A Study of Diversity in Multipopulation Genetic Programming. - Marco Tomassini; Leonardo Vanneschi; Francisco Fernández 001; Germán Galeano Gil (Artificial Evolution, 2003)

Saving computational effort in genetic programming by means of plagues. - Francisco Fernández 001; Marco Tomassini; Leonardo Vanneschi (IEEE Congress on Evolutionary Computation, 2003)

Diversity analysis in cellular and multipopulation genetic programming. - Gianluigi Folino; Clara Pizzuti; Giandomenico Spezzano; Leonardo Vanneschi; Marco Tomassini (IEEE Congress on Evolutionary Computation, 2003)

Fitness distance correlation in genetic programming: a constructive counterexample. - Leonardo Vanneschi; Marco Tomassini; Philippe Collard; Manuel Clergue (IEEE Congress on Evolutionary Computation, 2003)

Fitness Distance Correlation in Structural Mutation Genetic Programming. - Leonardo Vanneschi; Marco Tomassini; Philippe Collard; Manuel Clergue (EuroGP, 2003)

The Effect of Plagues in Genetic Programming: A Study of Variable-Size Populations. - Francisco Fernández 001; Leonardo Vanneschi; Marco Tomassini (EuroGP, 2003)

Diversity in Multipopulation Genetic Programming. - Marco Tomassini; Leonardo Vanneschi; Francisco Fernández 001; Germán Galeano Gil (GECCO, 2003)

Difficulty of Unimodal and Multimodal Landscapes in Genetic Programming. - Leonardo Vanneschi; Marco Tomassini; Manuel Clergue; Philippe Collard (GECCO, 2003)

An Empirical Study of Multipopulation Genetic Programming. - Francisco Fernández 001; Marco Tomassini; Leonardo Vanneschi (Genet. Program. Evolvable Mach., 2003)

A new technique for dynamic size populations in genetic programming. - Marco Tomassini; Leonardo Vanneschi; Jerome Cuendet; Francisco Fernández 001 (IEEE Congress on Evolutionary Computation, 2004)

Fitness Clouds and Problem Hardness in Genetic Programming. - Leonardo Vanneschi; Manuel Clergue; Philippe Collard; Marco Tomassini; Sébastien Vérel (GECCO (2), 2004)

A Survey of Problem Difficulty in Genetic Programming. - Leonardo Vanneschi; Marco Tomassini; Philippe Collard; Manuel Clergue (AI*IA, 2005)

A purely evolutionary memetic algorithm as a first step towards symbiotic coevolution. - Stefano Cagnoni; Daniel Rivero 001; Leonardo Vanneschi (Congress on Evolutionary Computation, 2005)

Operator-Based Distance for Genetic Programming: Subtree Crossover Distance. - Steven M. Gustafson; Leonardo Vanneschi (EuroGP, 2005)

Dynamic Size Populations in Distributed Genetic Programming. - Denis Rochat; Marco Tomassini; Leonardo Vanneschi (EuroGP, 2005)

A Study of Fitness Distance Correlation as a Difficulty Measure in Genetic Programming. - Marco Tomassini; Leonardo Vanneschi; Philippe Collard; Manuel Clergue (Evol. Comput., 2005)

Automatic Detection of Go-Based Patterns in CA Model of Vegetable Populations: Experiments on Geta Pattern Recognition. - Stefania Bandini; Sara Manzoni; Stefano Redaelli; Leonardo Vanneschi (ACRI, 2006)

Neutral Fitness Landscape in the Cellular Automata Majority Problem. - Sébastien Vérel; Philippe Collard; Marco Tomassini; Leonardo Vanneschi (ACRI, 2006)

Using Subtree Crossover Distance to Investigate Genetic Programming Dynamics. - Leonardo Vanneschi; Steven M. Gustafson; Giancarlo Mauri (EuroGP, 2006)

Negative Slope Coefficient: A Measure to Characterize Genetic Programming Fitness Landscapes. - Leonardo Vanneschi; Marco Tomassini; Philippe Collard; Sébastien Vérel (EuroGP, 2006)

Classifying and Counting Vehicles in Traffic Control Applications. - Francesco Archetti; Enza Messina; Daniele Toscani; Leonardo Vanneschi (EvoWorkshops, 2006)

Genetic programming for human oral bioavailability of drugs. - Francesco Archetti; Stefano Lanzeni; Enza Messina; Leonardo Vanneschi (GECCO, 2006)

Heterogeneous cooperative coevolution: strategies of integration between GP and GA. - Leonardo Vanneschi; Giancarlo Mauri; Andrea Valsecchi; Stefano Cagnoni (GECCO, 2006)

A quantitative study of neutrality in GP boolean landscapes. - Leonardo Vanneschi; Yuri Pirola; Philippe Collard (GECCO, 2006)

Emergent Spatial Patterns in Vegetable Population Dynamics: Towards Pattern Detection and Interpretation. - Stefania Bandini; Sara Manzoni; Stefano Redaelli; Leonardo Vanneschi (International Conference on Computational Science (3), 2006)

A Comprehensive View of Fitness Landscapes with Neutrality and Fitness Clouds. - Leonardo Vanneschi; Marco Tomassini; Philippe Collard; Sébastien Vérel; Yuri Pirola; Giancarlo Mauri (EuroGP, 2007)

Genetic Programming and Other Machine Learning Approaches to Predict Median Oral Lethal Dose (LD50) and Plasma Protein Binding Levels (%PPB) of Drugs. - Francesco Archetti; Stefano Lanzeni; Enza Messina; Leonardo Vanneschi (EvoBIO, 2007)

Fitness-proportional negative slope coefficient as a hardness measure for genetic algorithms. - Riccardo Poli; Leonardo Vanneschi (GECCO, 2007)

Multi-optimization improves genetic programming generalization ability. - Leonardo Vanneschi; Denis Rochat; Marco Tomassini (GECCO, 2007)

Fitness landscapes and problem hardness in evolutionary computation. - Leonardo Vanneschi; Sébastien Vérel (GECCO (Companion), 2007)

Genetic programming for computational pharmacokinetics in drug discovery and development. - Francesco Archetti; Stefano Lanzeni; Enza Messina; Leonardo Vanneschi (Genet. Program. Evolvable Mach., 2007)

Fitness landscape of the cellular automata majority problem: View from the "Olympus". - Sébastien Vérel; Philippe Collard; Marco Tomassini; Leonardo Vanneschi (Theor. Comput. Sci., 2007)

GP Generation of Pedestrian Behavioral Rules in an Evacuation Model Based on SCA. - Stefania Bandini; Sara Manzoni; Giancarlo Mauri; Stefano Redaelli; Leonardo Vanneschi (ACRI, 2008)

Evolving robust cellular automata rules with genetic programming. - Stefania Bandini; Sara Manzoni; Leonardo Vanneschi (Automata, 2008)

An Evolutionary Framework for Colorimetric Characterization of Scanners. - Simone Bianco 001; Francesca Gasparini; Raimondo Schettini; Leonardo Vanneschi (EvoWorkshops, 2008)

A Critical Assessment of Some Variants of Particle Swarm Optimization. - Stefano Cagnoni; Leonardo Vanneschi; Antonia Azzini; Andrea Tettamanzi (EvoWorkshops, 2008)

Negative Slope Coefficient and the Difficulty of Random 3-SAT Instances. - Marco Tomassini; Leonardo Vanneschi (EvoWorkshops, 2008)

A Study of Some Implications of the No Free Lunch Theorem. - Andrea Valsecchi; Leonardo Vanneschi (EvoWorkshops, 2008)

The impact of population size on code growth in GP: analysis and empirical validation. - Riccardo Poli; Nicholas Freitag McPhee; Leonardo Vanneschi (GECCO, 2008)

Elitism reduces bloat in genetic programming. - Riccardo Poli; Nicholas Freitag McPhee; Leonardo Vanneschi (GECCO, 2008)

A Neuro-Genetic Framework for Pattern Recognition in Complex Systems. - Stefania Bandini; Leonardo Vanneschi; Andrew Wuensche; Alessandro Bahgat Shehata (Fundam. Informaticae, 2008)

Polynomial modeling and optimization for colorimetric characterization of scanners. - Simone Bianco 001; Francesca Gasparini; Raimondo Schettini; Leonardo Vanneschi (J. Electronic Imaging, 2008)

Crossover-Based Tree Distance in Genetic Programming. - Steven M. Gustafson; Leonardo Vanneschi (IEEE Trans. Evol. Comput., 2008)

Using Operator Equalisation for Prediction of Drug Toxicity with Genetic Programming. - Leonardo Vanneschi; Sara Silva (EPIA, 2009)

A Comparison of Genetic Algorithms and Particle Swarm Optimization for Parameter Estimation in Stochastic Biochemical Systems. - Daniela Besozzi; Paolo Cazzaniga; Giancarlo Mauri; Dario Pescini; Leonardo Vanneschi (EvoBIO, 2009)

NK Landscapes Difficulty and Negative Slope Coefficient: How Sampling Influences the Results. - Leonardo Vanneschi; Sébastien Vérel; Marco Tomassini; Philippe Collard (EvoWorkshops, 2009)

Operator equalisation, bloat and overfitting: a study on human oral bioavailability prediction. - Sara Silva; Leonardo Vanneschi (GECCO, 2009)

Fitness landscapes and problem hardness in genetic programming. - Leonardo Vanneschi (GECCO (Companion), 2009)

Variable size population for dynamic optimization with genetic programming. - Leonardo Vanneschi; Giuseppe Cuccu (GECCO, 2009)

Using crossover based similarity measure to improve genetic programming generalization ability. - Leonardo Vanneschi; Steven M. Gustafson (GECCO, 2009)

Limitations of the fitness-proportional negative slope coefficient as a difficulty measure. - Leonardo Vanneschi; Andrea Valsecchi; Riccardo Poli (GECCO, 2009)

Empirical modeling for colorimetric characterization of digital cameras. - Simone Bianco 001; Raimondo Schettini; Leonardo Vanneschi (ICIP, 2009)

A Study of Genetic Programming Variable Population Size for Dynamic Optimization Problems. - Leonardo Vanneschi; Giuseppe Cuccu (IJCCI, 2009)

Introduction: special issue on parallel and distributed evolutionary algorithms, part I. - Marco Tomassini; Leonardo Vanneschi (Genet. Program. Evolvable Mach., 2009)

Cellular Automata Pattern Recognition and Rule Evolution Through a Neuro-Genetic Approach. - Stefania Bandini; Leonardo Vanneschi; Andrew Wuensche; Alessandro Bahgat Shehata (J. Cell. Autom., 2009)

A Study on the Automatic Generation of Asynchronous Cellular Automata Rules by Means of Genetic Algorithms. - Andrea Valsecchi; Leonardo Vanneschi; Giancarlo Mauri (ACRI, 2010)

A comparison of the generalization ability of different genetic programming frameworks. - Mauro Castelli; Luca Manzoni; Sara Silva; Leonardo Vanneschi (IEEE Congress on Evolutionary Computation, 2010)

Genetic Algorithms for Training Data and Polynomial Optimization in Colorimetric Characterization of Scanners. - Leonardo Vanneschi; Mauro Castelli; Simone Bianco 001; Raimondo Schettini (EvoApplications (1), 2010)

Identification of Individualized Feature Combinations for Survival Prediction in Breast Cancer: A Comparison of Machine Learning Techniques. - Leonardo Vanneschi; Antonella Farinaccio; Mario Giacobini; Giancarlo Mauri; Marco Antoniotti; Paolo Provero (EvoBIO, 2010)

On the use of genetic programming for the prediction of survival in cancer. - Antonella Farinaccio; Leonardo Vanneschi; Mario Giacobini; Giancarlo Mauri; Paolo Provero (GECCO, 2010)

Definition of a crossover based distance for genetic algorithms. - Luca Manzoni; Leonardo Vanneschi; Giancarlo Mauri (GECCO, 2010)

Optimization speed and fair sets of functions. - Andrea Valsecchi; Leonardo Vanneschi; Giancarlo Mauri (GECCO, 2010)

An empirical comparison of parallel and distributed particle swarm optimization methods. - Leonardo Vanneschi; Daniele Codecasa; Giancarlo Mauri (GECCO, 2010)

Measuring bloat, overfitting and functional complexity in genetic programming. - Leonardo Vanneschi; Mauro Castelli; Sara Silva (GECCO, 2010)

A study of parallel and distributed particle swarm optimization methods. - Leonardo Vanneschi; Daniele Codecasa; Giancarlo Mauri (BADS@ICAC, 2010)

State-of-the-Art Genetic Programming for Predicting Human Oral Bioavailability of Drugs. - Sara Silva; Leonardo Vanneschi (IWPACBB, 2010)

A Study on Gene Regulatory Network Reconstruction and Simulation. - Antonella Farinaccio; Leonardo Vanneschi; Paolo Provero; Giancarlo Mauri; Mario Giacobini (WIRN, 2010)

Genetic programming for QSAR investigation of docking energy. - Francesco Archetti; Ilaria Giordani; Leonardo Vanneschi (Appl. Soft Comput., 2010)

Genetic programming for anticancer therapeutic response prediction using the NCI-60 dataset. - Francesco Archetti; Ilaria Giordani; Leonardo Vanneschi (Comput. Oper. Res., 2010)

Open issues in genetic programming. - Michael O'Neill 001; Leonardo Vanneschi; Steven M. Gustafson; Wolfgang Banzhaf (Genet. Program. Evolvable Mach., 2010)

Theoretical results in genetic programming: the next ten years? - Riccardo Poli; Leonardo Vanneschi; William B. Langdon; Nicholas Freitag McPhee (Genet. Program. Evolvable Mach., 2010)

Guest editorial: special issue on parallel and distributed evolutionary algorithms, part two. - Marco Tomassini; Leonardo Vanneschi (Genet. Program. Evolvable Mach., 2010)

Evolutionary Computation: A Brief Overview. - Stefano Cagnoni; Leonardo Vanneschi (Genetic and Evolutionary Computation: Medical Applications, 2011)

A Method to Reuse Old Populations in Genetic Algorithms. - Mauro Castelli; Luca Manzoni; Leonardo Vanneschi (EPIA, 2011)

A Quantitative Study of Learning and Generalization in Genetic Programming. - Mauro Castelli; Luca Manzoni; Sara Silva; Leonardo Vanneschi (EuroGP, 2011)

How Far Is It from Here to There? A Distance That Is Coherent with GP Operators. - James McDermott; Una-May O'Reilly; Leonardo Vanneschi; Kalyan Veeramachaneni (EuroGP, 2011)

An Empirical Study of Functional Complexity as an Indicator of Overfitting in Genetic Programming. - Leonardo Trujillo; Sara Silva; Pierrick Legrand; Leonardo Vanneschi (EuroGP, 2011)

A New Evolutionary Gene Regulatory Network Reverse Engineering Tool. - Antonella Farinaccio; Leonardo Vanneschi; Paolo Provero; Giancarlo Mauri; Mario Giacobini (EvoBio, 2011)

The effect of selection from old populations in genetic algorithms. - Mauro Castelli; Luca Manzoni; Leonardo Vanneschi (GECCO (Companion), 2011)

The K landscapes: a tunably difficult benchmark for genetic programming. - Leonardo Vanneschi; Mauro Castelli; Luca Manzoni (GECCO, 2011)

Multi Objective Genetic Programming for Feature Construction in Classification Problems. - Mauro Castelli; Luca Manzoni; Leonardo Vanneschi (LION, 2011)

A comparison of machine learning techniques for survival prediction in breast cancer. - Leonardo Vanneschi; Antonella Farinaccio; Giancarlo Mauri; Marco Antoniotti; Paolo Provero; Mario Giacobini (BioData Min., 2011)

Hot topics in Evolutionary Computation. - Leonardo Vanneschi; Luca Mussi; Stefano Cagnoni (Intelligenza Artificiale, 2011)

A Comparative Study of Four Parallel and Distributed PSO Methods. - Leonardo Vanneschi; Daniele Codecasa; Giancarlo Mauri (New Gener. Comput., 2011)

Evolutionary Reaction Systems. - Luca Manzoni; Mauro Castelli; Leonardo Vanneschi (EvoBIO, 2012)

GeNet: A Graph-Based Genetic Programming Framework for the Reverse Engineering of Gene Regulatory Networks. - Leonardo Vanneschi; Matteo Mondini; Martino Bertoni; Alberto Ronchi; Mattia Stefano (EvoBIO, 2012)

Parameter tuning of evolutionary reactions systems. - Mauro Castelli; Luca Manzoni; Leonardo Vanneschi (GECCO, 2012)

Genetic programming needs better benchmarks. - 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 (GECCO, 2012)

An Efficient Genetic Programming System with Geometric Semantic Operators and its Application to Human Oral Bioavailability Prediction. - Mauro Castelli; Luca Manzoni; Leonardo Vanneschi (CoRR, 2012)

Operator equalisation for bloat free genetic programming and a survey of bloat control methods. - Sara Silva; Stephen Dignum; Leonardo Vanneschi (Genet. Program. Evolvable Mach., 2012)

Bloat free genetic programming: application to human oral bioavailability prediction. - Sara Silva; Leonardo Vanneschi (Int. J. Data Min. Bioinform., 2012)

A study on learning robustness using asynchronous 1D cellular automata rules. - Leonardo Vanneschi; Giancarlo Mauri (Nat. Comput., 2012)

A distance between populations for one-point crossover in genetic algorithms. - Luca Manzoni; Leonardo Vanneschi; Giancarlo Mauri (Theor. Comput. Sci., 2012)

A study of the neutrality of Boolean function landscapes in genetic programming. - Leonardo Vanneschi; Yuri Pirola; Giancarlo Mauri; Marco Tomassini; Philippe Collard; Sébastien Vérel (Theor. Comput. Sci., 2012)

Genetic Programming - Introduction, Applications, Theory and Open Issues. - Leonardo Vanneschi; Riccardo Poli (Handbook of Natural Computing, 2012)

An Empirical Study of Parallel and Distributed Particle Swarm Optimization. - Leonardo Vanneschi; Daniele Codecasa; Giancarlo Mauri (Parallel Architectures and Bioinspired Algorithms, 2012)

An Efficient Implementation of Geometric Semantic Genetic Programming for Anticoagulation Level Prediction in Pharmacogenetics. - Mauro Castelli; Davide Castaldi; Ilaria Giordani; Sara Silva; Leonardo Vanneschi; Francesco Archetti; Daniele Maccagnola (EPIA, 2013)

A New Implementation of Geometric Semantic GP and Its Application to Problems in Pharmacokinetics. - Leonardo Vanneschi; Mauro Castelli; Luca Manzoni; Sara Silva (EuroGP, 2013)

Land Cover/Land Use Multiclass Classification Using GP with Geometric Semantic Operators. - Mauro Castelli; Sara Silva; Leonardo Vanneschi; Ana I. R. Cabral; Maria J. P. de Vasconcelos; Luís Catarino; João Manuel de Brito Carreiras (EvoApplications, 2013)

Prediction of Forest Aboveground Biomass: An Exercise on Avoiding Overfitting. - Sara Silva; Vijay Ingalalli; Susana Vinga; João Manuel de Brito Carreiras; Joana B. Melo; Mauro Castelli; Leonardo Vanneschi; Ivo Gonçalves; José Caldas (EvoApplications, 2013)

An efficient implementation of geometric semantic genetic programming for anticoagulation level prediction in pharmacogenetics. - Mauro Castelli; Davide Castaldi; Leonardo Vanneschi; Ilaria Giordani; Francesco Archetti; Daniele Maccagnola (GECCO (Companion), 2013)

Geometric Semantic Genetic Programming for Real Life Applications. - Leonardo Vanneschi; Sara Silva; Mauro Castelli; Luca Manzoni (GPTP, 2013)

Prediction of high performance concrete strength using Genetic Programming with geometric semantic genetic operators. - Mauro Castelli; Leonardo Vanneschi; Sara Silva (Expert Syst. Appl., 2013)

A new genetic programming framework based on reaction systems. - Luca Manzoni; Mauro Castelli; Leonardo Vanneschi (Genet. Program. Evolvable Mach., 2013)

Gene regulatory networks reconstruction from time series datasets using genetic programming: a comparison between tree-based and graph-based approaches. - Leonardo Vanneschi; Matteo Mondini; Martino Bertoni; Alberto Ronchi; Mattia Stefano (Genet. Program. Evolvable Mach., 2013)

A hybrid genetic algorithm for the repetition free longest common subsequence problem. - Mauro Castelli; Stefano Beretta 001; Leonardo Vanneschi (Oper. Res. Lett., 2013)

Towards the Use of Genetic Programming for the Prediction of Survival in Cancer. - Mario Giacobini; Paolo Provero; Leonardo Vanneschi; Giancarlo Mauri (Evolution, Complexity and Artificial Life, 2014)

A Multi-dimensional Genetic Programming Approach for Multi-class Classification Problems. - Vijay Ingalalli; Sara Silva; Mauro Castelli; Leonardo Vanneschi (EuroGP, 2014)

ESAGP - A Semantic GP Framework Based on Alignment in the Error Space. - Stefano Ruberto; Leonardo Vanneschi; Mauro Castelli; Sara Silva (EuroGP, 2014)

How to Exploit Alignment in the Error Space: Two Different GP Models. - Mauro Castelli; Leonardo Vanneschi; Sara Silva; Stefano Ruberto (GPTP, 2014)

A hybrid Harmony search algorithm with variable neighbourhood search for the bin-packing problem. - Mauro Castelli; Leonardo Vanneschi (NaBIC, 2014)

Prediction of the Unified Parkinson's Disease Rating Scale assessment using a genetic programming system with geometric semantic genetic operators. - Mauro Castelli; Leonardo Vanneschi; Sara Silva (Expert Syst. Appl., 2014)

A survey of semantic methods in genetic programming. - Leonardo Vanneschi; Mauro Castelli; Sara Silva (Genet. Program. Evolvable Mach., 2014)

Geometric Selective Harmony Search. - Mauro Castelli; Sara Silva; Luca Manzoni; Leonardo Vanneschi (Inf. Sci., 2014)

A study of search algorithms' optimization speed. - Andrea Valsecchi; Leonardo Vanneschi; Giancarlo Mauri (J. Comb. Optim., 2014)

Improving genetic programming for the prediction of pharmacokinetic parameters. - Leonardo Vanneschi (Memetic Comput., 2014)

Genetic algorithm with variable neighborhood search for the optimal allocation of goods in shop shelves. - Mauro Castelli; Leonardo Vanneschi (Oper. Res. Lett., 2014)

Corrections to "Semantic Search Based Genetic Programming and the Effect of Introns Deletion". - Mauro Castelli; Leonardo Vanneschi; Sara Silva (IEEE Trans. Cybern., 2014)

Semantic Search-Based Genetic Programming and the Effect of Intron Deletion. - Mauro Castelli; Leonardo Vanneschi; Sara Silva; Alexandros Agapitos; Michael O'Neill 001 (IEEE Trans. Cybern., 2014)

Electricity Demand Modelling with Genetic Programming. - Mauro Castelli; Matteo De Felice; Luca Manzoni; Leonardo Vanneschi (EPIA, 2015)

Improving Maritime Awareness with Semantic Genetic Programming and Linear Scaling: Prediction of Vessels Position Based on AIS Data. - Leonardo Vanneschi; Mauro Castelli; Ernesto Costa; Alessandro Re; Henrique Vaz; Victor Sousa Lobo; Paulo Urbano (EvoApplications, 2015)

Geometric Semantic Genetic Programming with Local Search. - Mauro Castelli; Leonardo Trujillo; Leonardo Vanneschi; Sara Silva; Emigdio Z.-Flores; Pierrick Legrand (GECCO, 2015)

Multiclass Classification Through Multidimensional Clustering. - Sara Silva; Luis Muñoz; Leonardo Trujillo; Vijay Ingalalli; Mauro Castelli; Leonardo Vanneschi (GPTP, 2015)

An Introduction to Geometric Semantic Genetic Programming. - Leonardo Vanneschi (NEO, 2015)

Energy Consumption Forecasting Using Semantic-Based Genetic Programming with Local Search Optimizer. - Mauro Castelli; Leonardo Trujillo; Leonardo Vanneschi (Comput. Intell. Neurosci., 2015)

A C++ framework for geometric semantic genetic programming. - Mauro Castelli; Sara Silva; Leonardo Vanneschi (Genet. Program. Evolvable Mach., 2015)

A geometric semantic genetic programming system for the electoral redistricting problem. - Mauro Castelli; Roberto Henriques; Leonardo Vanneschi (Neurocomputing, 2015)

A Comparison Between Representations for Evolving Images. - Alessandro Re; Mauro Castelli; Leonardo Vanneschi (EvoMUSART, 2016)

Local Search is Underused in Genetic Programming. - Leonardo Trujillo; Emigdio Z.-Flores; Perla S. Juárez-Smith; Pierrick Legrand; Sara Silva; Mauro Castelli; Leonardo Vanneschi; Oliver Schütze 001; Luis Muñoz (GPTP, 2016)

An Analysis of Geometric Semantic Crossover: A Computational Geometry Approach. - Mauro Castelli; Luca Manzoni; Ivo Gonçalves; Leonardo Vanneschi; Leonardo Trujillo; Sara Silva (IJCCI (ECTA), 2016)

Prediction of relative position of CT slices using a computational intelligence system. - Mauro Castelli; Leonardo Trujillo; Leonardo Vanneschi; Ales Popovic (Appl. Soft Comput., 2016)

Controlling Individuals Growth in Semantic Genetic Programming through Elitist Replacement. - Mauro Castelli; Leonardo Vanneschi; Ales Popovic (Comput. Intell. Neurosci., 2016)

Self-tuning geometric semantic Genetic Programming. - Mauro Castelli; Luca Manzoni; Leonardo Vanneschi; Sara Silva; Ales Popovic (Genet. Program. Evolvable Mach., 2016)

Parameter evaluation of geometric semantic genetic programming in pharmacokinetics. - Mauro Castelli; Leonardo Vanneschi; Ales Popovic (Int. J. Bio Inspired Comput., 2016)

Semantic genetic programming for fast and accurate data knowledge discovery. - Mauro Castelli; Leonardo Vanneschi; Luca Manzoni; Ales Popovic (Swarm Evol. Comput., 2016)

Towards the development of a complete GP system on an FPGA using geometric semantic operators. - Carlos A. Goribar Jiménez; Yazmín Maldonado; Leonardo Trujillo; Mauro Castelli; Ivo Gonçalves; Leonardo Vanneschi (CEC, 2017)

An initialization technique for geometric semantic GP based on demes evolution and despeciation. - Leonardo Vanneschi; Illya Bakurov; Mauro Castelli (CEC, 2017)

Geometric semantic genetic programming for biomedical applications: A state of the art upgrade. - Leonardo Vanneschi; Mauro Castelli; Ivo Gonçalves; Luca Manzoni; Sara Silva (CEC, 2017)

A parallel and distributed semantic Genetic Programming system. - Leonardo Vanneschi; Bernardo Galvão (CEC, 2017)

Genetic Programming Representations for Multi-dimensional Feature Learning in Biomedical Classification. - William G. La Cava; Sara Silva; Leonardo Vanneschi; Lee Spector; Jason H. Moore (EvoApplications (1), 2017)

PSXO: population-wide semantic crossover. - Leonardo Vanneschi; Mauro Castelli; Luca Manzoni; Krzysztof Krawiec; Alberto Moraglio; Sara Silva; Ivo Gonçalves (GECCO (Companion), 2017)

A Distance Between Populations for n-Points Crossover in Genetic Algorithms. - Mauro Castelli; Gianpiero Cattaneo; Luca Manzoni; Leonardo Vanneschi (CoRR, 2017)

An expert system for extracting knowledge from customers' reviews: The case of Amazon.com, Inc. - Mauro Castelli; Luca Manzoni; Leonardo Vanneschi; Ales Popovic (Expert Syst. Appl., 2017)

Stock index return forecasting: semantics-based genetic programming with local search optimiser. - Mauro Castelli; Leonardo Vanneschi; Leonardo Trujillo; Ales Popovic (Int. J. Bio Inspired Comput., 2017)

Prediction of ships' position by analysing AIS data: an artificial intelligence approach. - Leonardo Vanneschi; Mauro Castelli; Alessandro Re (Int. J. Web Eng. Technol., 2017)

Using biological knowledge for multiple sequence aligner decision making. - Álvaro Rubio-Largo; Leonardo Vanneschi; Mauro Castelli; Miguel A. Vega-Rodríguez (Inf. Sci., 2017)

Reducing Alignment Time Complexity of Ultra-Large Sets of Sequences. - Álvaro Rubio-Largo; Leonardo Vanneschi; Mauro Castelli; Miguel A. Vega-Rodríguez (J. Comput. Biol., 2017)

The influence of population size in geometric semantic GP. - Mauro Castelli; Luca Manzoni; Sara Silva; Leonardo Vanneschi; Ales Popovic (Swarm Evol. Comput., 2017)

Multi-objective genetic algorithm with variable neighbourhood search for the electoral redistricting problem. - Leonardo Vanneschi; Roberto Henriques; Mauro Castelli (Swarm Evol. Comput., 2017)

Pruning Techniques for Mixed Ensembles of Genetic Programming Models. - Mauro Castelli; Ivo Gonçalves; Luca Manzoni; Leonardo Vanneschi (EuroGP, 2018)

A Multiple Expression Alignment Framework for Genetic Programming. - Leonardo Vanneschi; Kristen M. Scott; Mauro Castelli (EuroGP, 2018)

Evolving PSO algorithm design in vector fields using geometric semantic GP. - Palina Bartashevich; Illya Bakurov; Sanaz Mostaghim; Leonardo Vanneschi (GECCO (Companion), 2018)

A multidimensional genetic programming approach for identifying epsistatic gene interactions. - William G. La Cava; Sara Silva; Kourosh Danai; Lee Spector; Leonardo Vanneschi; Jason H. Moore (GECCO (Companion), 2018)

EDDA-V2 - An Improvement of the Evolutionary Demes Despeciation Algorithm. - Illya Bakurov; Leonardo Vanneschi; Mauro Castelli; Francesco Fontanella (PPSN (1), 2018)

PSO-Based Search Rules for Aerial Swarms Against Unexplored Vector Fields via Genetic Programming. - Palina Bartashevich; Illya Bakurov; Sanaz Mostaghim; Leonardo Vanneschi (PPSN (1), 2018)

Multiobjective characteristic-based framework for very-large multiple sequence alignment. - Álvaro Rubio-Largo; Leonardo Vanneschi; Mauro Castelli; Miguel A. Vega-Rodríguez (Appl. Soft Comput., 2018)

An artificial intelligence system for predicting customer default in e-commerce. - Leonardo Vanneschi; David Micha Horn; Mauro Castelli; Ales Popovic (Expert Syst. Appl., 2018)

A Parallel Multiobjective Metaheuristic for Multiple Sequence Alignment. - Álvaro Rubio-Largo; Mauro Castelli; Leonardo Vanneschi; Miguel A. Vega-Rodríguez (J. Comput. Biol., 2018)

Improved Fully Convolutional Network with Conditional Random Fields for Building Extraction. - Sanjeevan Shrestha; Leonardo Vanneschi (Remote. Sens., 2018)

Swarm intelligence for optimizing the parameters of multiple sequence aligners. - Álvaro Rubio-Largo; Leonardo Vanneschi; Mauro Castelli; Miguel A. Vega-Rodríguez (Swarm Evol. Comput., 2018)

A semi-supervised Genetic Programming method for dealing with noisy labels and hidden overfitting. - Sara Silva; Leonardo Vanneschi; Ana I. R. Cabral; Maria José Alves do Rio Perestrelo de Vasconcelos (Swarm Evol. Comput., 2018)

A Characteristic-Based Framework for Multiple Sequence Aligners. - Álvaro Rubio-Largo; Leonardo Vanneschi; Mauro Castelli; Miguel A. Vega-Rodríguez (IEEE Trans. Cybern., 2018)

Regularization Techniques in Radiomics: A Case Study on the Prediction of pCR in Breast Tumours and the Axilla. - Eunice Carrasquinha; João Santinha; Alexander Mongolin; Maria Lisitskiya; Joana Ribeiro; Fátima Cardoso; Celso Matos; Leonardo Vanneschi; Nikolaos Papanikolaou 003 (CIBB, 2019)

A Vectorial Approach to Genetic Programming. - Irene Azzali; Leonardo Vanneschi; Sara Silva; Illya Bakurov; Mario Giacobini (EuroGP, 2019)

Supporting Medical Decisions for Treating Rare Diseases Through Genetic Programming. - Illya Bakurov; Mauro Castelli; Leonardo Vanneschi; Maria João Freitas (EvoApplications, 2019)

A Regression-like Classification System for Geometric Semantic Genetic Programming. - Illya Bakurov; Mauro Castelli; Francesco Fontanella; Leonardo Vanneschi (IJCCI, 2019)

Universal Learning Machine with Genetic Programming. - Alessandro Re; Leonardo Vanneschi; Mauro Castelli (IJCCI, 2019)

Forecasting performance of regional innovation systems using semantic-based genetic programming with local search optimizer. - Petr Hájek 002; Roberto Henriques; Mauro Castelli; Leonardo Vanneschi (Comput. Oper. Res., 2019)

Evolving multidimensional transformations for symbolic regression with M3GP. - Luis Muñoz; Leonardo Trujillo; Sara Silva; Mauro Castelli; Leonardo Vanneschi (Memetic Comput., 2019)

A distance between populations for n-points crossover in genetic algorithms. - Mauro Castelli; Gianpiero Cattaneo; Luca Manzoni; Leonardo Vanneschi (Swarm Evol. Comput., 2019)

Multidimensional genetic programming for multiclass classification. - William G. La Cava; Sara Silva; Kourosh Danai; Lee Spector; Leonardo Vanneschi; Jason H. Moore (Swarm Evol. Comput., 2019)

Genetic programming with semantic equivalence classes. - Stefano Ruberto; Leonardo Vanneschi; Mauro Castelli (Swarm Evol. Comput., 2019)

Alignment-based genetic programming for real life applications. - Leonardo Vanneschi; Mauro Castelli; Kristen M. Scott; Leonardo Trujillo (Swarm Evol. Comput., 2019)

Multiobjective Metaheuristic to Design RNA Sequences. - Álvaro Rubio-Largo; Leonardo Vanneschi; Mauro Castelli; Miguel A. Vega-Rodríguez (IEEE Trans. Evol. Comput., 2019)

Supervised Learning: Classification. - Mauro Castelli; Leonardo Vanneschi; Álvaro Rubio-Largo (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

Multilayer Perceptrons. - Leonardo Vanneschi; Mauro Castelli (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

Delta Rule and Backpropagation. - Leonardo Vanneschi; Mauro Castelli (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

A GP approach for precision farming. - Francesca Abbona; Leonardo Vanneschi; Marco Bona; Mario Giacobini (CEC, 2020)

A Study of Fitness Landscapes for Neuroevolution. - Nuno M. Rodrigues; Sara Silva; Leonardo Vanneschi (CEC, 2020)

Investigating the Use of Geometric Semantic Operators in Vectorial Genetic Programming. - Irene Azzali; Leonardo Vanneschi; Mario Giacobini (EuroGP, 2020)

Is k Nearest Neighbours Regression Better Than GP? - Leonardo Vanneschi; Mauro Castelli; Luca Manzoni; Sara Silva; Leonardo Trujillo (EuroGP, 2020)

A Greedy Iterative Layered Framework for Training Feed Forward Neural Networks. - Leonardo Lucio Custode; Ciro Lucio Tecce; Illya Bakurov; Mauro Castelli; Antonio Della Cioppa; Leonardo Vanneschi (EvoApplications, 2020)

Unlabeled multi-target regression with genetic programming. - Uriel López; Leonardo Trujillo; Sara Silva; Leonardo Vanneschi; Pierrick Legrand (GECCO, 2020)

Parameters optimization of the Structural Similarity Index. - Illya Bakurov; Marco Buzzelli; Mauro Castelli; Raimondo Schettini; Leonardo Vanneschi (LIM, 2020)

A Study of Generalization and Fitness Landscapes for Neuroevolution. - Nuno M. Rodrigues; Sara Silva; Leonardo Vanneschi (IEEE Access, 2020)

Towards the use of vector based GP to predict physiological time series. - Irene Azzali; Leonardo Vanneschi; Illya Bakurov; Sara Silva; Marco Ivaldi; Mario Giacobini (Appl. Soft Comput., 2020)

Machine learning techniques to predict the effectiveness of music therapy: A randomized controlled trial. - Alfredo Raglio; Marcello Imbriani; Chiara Imbriani; Paola Baiardi; Sara Manzoni; Marta Gianotti; Mauro Castelli; Leonardo Vanneschi; Francisco J. Vico; Luca Manzoni (Comput. Methods Programs Biomed., 2020)

A Machine Learning Approach to Predict Air Quality in California. - Mauro Castelli; Fabiana Martins Clemente; Ales Popovic; Sara Silva; Leonardo Vanneschi (Complex., 2020)

Predicting Days on Market to Optimize Real Estate Sales Strategy. - Mauro Castelli; Maria Dobreva; Roberto Henriques; Leonardo Vanneschi (Complex., 2020)

Computational Intelligence for Life Sciences. - Daniela Besozzi; Luca Manzoni; Marco S. Nobile; Simone Spolaor; Mauro Castelli; Leonardo Vanneschi; Paolo Cazzaniga; Stefano Ruberto; Leonardo Rundo; Andrea Tangherloni (Fundam. Informaticae, 2020)

Towards the use of genetic programming in the ecological modelling of mosquito population dynamics. - Irene Azzali; Leonardo Vanneschi; Andrea Mosca; Luigi Bertolotti; Mario Giacobini (Genet. Program. Evolvable Mach., 2020)

Progressive Insular Cooperative GP. - Karina Brotto Rebuli; Leonardo Vanneschi (EuroGP, 2021)

Plotting time: On the usage of CNNs for time series classification. - Nuno M. Rodrigues; João E. Batista; Leonardo Trujillo; Bernardo Duarte; Mario Giacobini; Leonardo Vanneschi; Sara Silva (CoRR, 2021)

Soft target and functional complexity reduction: A hybrid regularization method for genetic programming. - Leonardo Vanneschi; Mauro Castelli (Expert Syst. Appl., 2021)

Improving Land Cover Classification Using Genetic Programming for Feature Construction. - João E. Batista; Ana I. R. Cabral; Maria J. P. de Vasconcelos; Leonardo Vanneschi; Sara Silva (Remote. Sens., 2021)

Genetic programming for stacked generalization. - Illya Bakurov; Mauro Castelli; Olivier Gau; Francesco Fontanella; Leonardo Vanneschi (Swarm Evol. Comput., 2021)

Reducing the Number of Training Cases in Genetic Programming. - Giacomo Zoppi; Leonardo Vanneschi; Mario Giacobini (CEC, 2022)

SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming. - Nuno M. Rodrigues; João E. Batista; William G. La Cava; Leonardo Vanneschi; Sara Silva (EuroGP, 2022)

Vectorial GP for Alzheimer's Disease Prediction Through Handwriting Analysis. - Irene Azzali; Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Mario Giacobini; Leonardo Vanneschi (EvoApplications, 2022)

Genetic programming for structural similarity design at multiple spatial scales. - Illya Bakurov; Marco Buzzelli; Mauro Castelli; Raimondo Schettini; Leonardo Vanneschi (GECCO, 2022)

A preliminary study of prediction interval methods with genetic programming. - Karina Brotto Rebuli; Mario Giacobini; Niccolò Tallone; Leonardo Vanneschi (GECCO Companion, 2022)

Single and Multi-objective Genetic Programming Methods for Prediction Intervals. - Karina Brotto Rebuli; Mario Giacobini; Niccolò Tallone; Leonardo Vanneschi (WIVACE, 2022)

EGSGP: An Ensemble System Based on Geometric Semantic Genetic Programming. - Liah Rosenfeld; Leonardo Vanneschi (WIVACE, 2022)

Structural similarity index (SSIM) revisited: A data-driven approach. - Illya Bakurov; Marco Buzzelli; Raimondo Schettini; Mauro Castelli; Leonardo Vanneschi (Expert Syst. Appl., 2022)

Automatic Identification of Addresses: A Systematic Literature Review. - Paula Cruz; Leonardo Vanneschi; Marco Painho; Paulo Rita (ISPRS Int. J. Geo Inf., 2022)

Fitness landscape analysis of convolutional neural network architectures for image classification. - Nuno M. Rodrigues; Katherine M. Malan; Gabriela Ochoa; Leonardo Vanneschi; Sara Silva (Inf. Sci., 2022)

Few-Shot Learning for Post-Earthquake Urban Damage Detection. - Eftychia Koukouraki; Leonardo Vanneschi; Marco Painho (Remote. Sens., 2022)

An Empirical Study of Progressive Insular Cooperative GP. - Karina Brotto Rebuli; Leonardo Vanneschi (SN Comput. Sci., 2022)

A novel binary classification approach based on geometric semantic genetic programming. - Illya Bakurov; Mauro Castelli; Francesco Fontanella; Alessandra Scotto di Freca; Leonardo Vanneschi (Swarm Evol. Comput., 2022)

Feature Selection on Epistatic Problems Using Genetic Algorithms with Nested Classifiers. - Pedro Carvalho; Bruno Ribeiro 008; Nuno M. Rodrigues; João E. Batista; Leonardo Vanneschi; Sara Silva (EvoApplications@EvoStar, 2023)

Evolutionary Algorithms for Segment Optimization in Vectorial GP. - Philipp Fleck; Stephan M. Winkler; Michael Kommenda; Sara Silva; Leonardo Vanneschi; Michael Affenzeller (GECCO Companion, 2023)

An Investigation of Geometric Semantic GP with Linear Scaling. - Giorgia Nadizar; Fraser Garrow; Berfin Sakallioglu; Lorenzo Canonne; Sara Silva; Leonardo Vanneschi (GECCO, 2023)

A Comparison of Structural Complexity Metrics for Explainable Genetic Programming. - Karina Brotto Rebuli; Mario Giacobini; Sara Silva; Leonardo Vanneschi (GECCO Companion, 2023)

Full-Reference Image Quality Expression via Genetic Programming. - Illya Bakurov; Marco Buzzelli; Raimondo Schettini; Mauro Castelli; Leonardo Vanneschi (IEEE Trans. Image Process., 2023)

Lectures on Intelligent Systems - Leonardo Vanneschi; Sara Silva (Springer, 2023)

Simplifying Fitness Landscapes Using Dilation Functions Evolved With Genetic Programming. - Daniele M. Papetti; Andrea Tangherloni; Davide Farinati; Paolo Cazzaniga; Leonardo Vanneschi (IEEE Comput. Intell. Mag., 2023)

Multi-algorithm clustering analysis for characterizing cow productivity on automatic milking systems over lactation periods. - Karina Brotto Rebuli; Laura Ozella; Leonardo Vanneschi; Mario Giacobini (Comput. Electron. Agric., 2023)

A study of dynamic populations in geometric semantic genetic programming. - Davide Farinati; Illya Bakurov; Leonardo Vanneschi (Inf. Sci., 2023)

Semantic segmentation network stacking with genetic programming. - Illya Bakurov; Marco Buzzelli; Raimondo Schettini; Mauro Castelli; Leonardo Vanneschi (Genet. Program. Evolvable Mach., 2023)

Introduction to the peer commentary special section on "Jaws 30" by W. B. Langdon. - Leonardo Vanneschi; Leonardo Trujillo (Genet. Program. Evolvable Mach., 2023)

M6GP: Multiobjective Feature Engineering. - João Eduardo Batista; Nuno Miguel Rodrigues; Leonardo Vanneschi; Sara Silva (CEC, 2024)

Full Inclusive Genetic Programming. - Francesco Marchetti; Mauro Castelli; Illya Bakurov; Leonardo Vanneschi (CEC, 2024)

SLIM_GSGP: The Non-bloating Geometric Semantic Genetic Programming. - Leonardo Vanneschi (EuroGP, 2024)

GM4OS: An Evolutionary Oversampling Approach for Imbalanced Binary Classification Tasks. - Davide Farinati; Leonardo Vanneschi (EvoApplications@EvoStar, 2024)

Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data. - 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; et al. (Comput. Biol. Medicine, 2024)

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]. - 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; et al. (Comput. Biol. Medicine, 2024)

Automatic feature extraction with Vectorial Genetic Programming for Alzheimer's Disease prediction through handwriting analysis. - Irene Azzali; Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Mario Giacobini; Leonardo Vanneschi (Swarm Evol. Comput., 2024)

Exploring SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming. - Nuno M. Rodrigues; João E. Batista; William G. La Cava; Leonardo Vanneschi; Sara Silva (SN Comput. Sci., 2024)

Geometric semantic genetic programming with normalized and standardized random programs. - Illya Bakurov; Jose Manuel Muñoz Contreras; Mauro Castelli; Nuno M. Rodrigues; Sara Silva; Leonardo Trujillo; Leonardo Vanneschi (Genet. Program. Evolvable Mach., 2024)

A survey on dynamic populations in bio-inspired algorithms. - Davide Farinati; Leonardo Vanneschi (Genet. Program. Evolvable Mach., 2024)

Geometric semantic GP with linear scaling: Darwinian versus Lamarckian evolution. - Giorgia Nadizar; Berfin Sakallioglu; Fraser Garrow; Sara Silva; Leonardo Vanneschi (Genet. Program. Evolvable Mach., 2024)

Exploring the Impact of Data Scale on Mutation Step Size in SLIM-GSGP. - Davide Farinati; Gloria Pietropolli; Leonardo Vanneschi (EuroGP, 2025)

Introducing Crossover in SLIM-GSGP. - Gloria Pietropolli; Davide Farinati; Luca Manzoni; Mauro Castelli; Sara Silva; Leonardo Vanneschi (EuroGP, 2025)

Exploring the Integration of Cellular Structures in Genetic Programming-Based Methods. - Luigi Rovito; Lorenzo Bonin; Davide Farinati; Leonardo Vanneschi; Luca Manzoni; Andrea De Lorenzo; Gloria Pietropolli (EuroGP, 2025)

A Survey of Modern Hybrid Particle Swarm Optimization Algorithms. - Matteo Grazioso; Chiara Gallese; Leonardo Vanneschi; Marco S. Nobile (EvoApplications (2), 2025)

Slim_gsgp: A Python Library for Non-Bloating GSGP. - Liah Rosenfeld; Davide Farinati; Diogo Rasteiro; Gloria Pietropolli; Karina Brotto Rebuli; Sara Silva; Leonardo Vanneschi (GECCO, 2025)

A survey on batch training in genetic programming. - Liah Rosenfeld; Leonardo Vanneschi (Genet. Program. Evolvable Mach., 2025)

An Empirical Study of GM4OS for Imbalanced Binary Classification. - Davide Farinati; Leonardo Vanneschi (SN Comput. Sci., 2025)