| 2026 | EUROGP | NEVO-GSPT: Population-Based Neural Network Evolution Using Inflate and Deflate Operators. | Davide Farinati, Frederico J. J. B. Santos, Leonardo Vanneschi, Mauro Castelli |
| 2026 | EUROGP | Revisiting SLIM: Improved Learning Dynamics and Model Compactness in Symbolic Regression. | Gorka Silva, Lachlan Stewart, Illya Bakurov, Mauro Castelli, Davide Farinati, Jose Manuel Muoz Contreras, Leonardo Trujillio, Leonardo Vanneschi |
| 2025 | EUROGP | Introducing Crossover in SLIM-GSGP. | Gloria Pietropolli, Davide Farinati, Luca Manzoni, Mauro Castelli, Sara Silva, Leonardo Vanneschi |
| 2025 | GECCO | A Genetic Algorithm Framework for Jailbreaking Large Language Models. | Lorenzo Bonin, Lorenzo Cusin, Andrea De Lorenzo, Mauro Castelli, Luca Manzoni |
| 2024 | CEC | Full Inclusive Genetic Programming. | Francesco Marchetti, Mauro Castelli, Illya Bakurov, Leonardo Vanneschi |
| 2023 | EUROGP | A Self-Adaptive Approach to Exploit Topological Properties of Different GAs' Crossover Operators. | Jos Ferreira, Mauro Castelli, Luca Manzoni, Gloria Pietropolli |
| 2023 | GECCO | Parametrizing GP Trees for Better Symbolic Regression Performance through Gradient Descent. | Gloria Pietropolli, Federico Julian Camerota Verd, Luca Manzoni, Mauro Castelli |
| 2022 | EUROGP | Combining Geometric Semantic GP with Gradient-Descent Optimization. | Gloria Pietropolli, Luca Manzoni, Alessia Paoletti, Mauro Castelli |
| 2022 | GECCO | Genetic programming for structural similarity design at multiple spatial scales. | Illya Bakurov, Marco Buzzelli, Mauro Castelli, Raimondo Schettini, Leonardo Vanneschi |
| 2021 | GECCO | CoInGP: convolutional inpainting with genetic programming. | Domagoj Jakobovic, Luca Manzoni, Luca Mariot, Stjepan Picek, Mauro Castelli |
| 2020 | EUROGP | Is k Nearest Neighbours Regression Better Than GP? | Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Sara Silva, Leonardo Trujillo |
| 2020 | GECCO | Towards an evolutionary-based approach for natural language processing. | Luca Manzoni, Domagoj Jakobovic, Luca Mariot, Stjepan Picek, Mauro Castelli |
| 2020 | KES | Genetic Algorithms for Finding Episodes in Temporal Networks. | Mauro Castelli, Riccardo Dondi, Mohammad Mehdi Hosseinzadeh |
| 2019 | EPIA | Extending Local Search in Geometric Semantic Genetic Programming. | Mauro Castelli, Luca Manzoni, Luca Mariot, Martina Saletta |
| 2019 | GECCO | Enhancing classification performance of convolutional neural networks for prostate cancer detection on magnetic resonance images: a study with the semantic learning machine. | Paulo Lapa, Ivo Gonalves, Leonardo Rundo, Mauro Castelli |
| 2019 | GECCO | Semantic learning machine improves the CNN-Based detection of prostate cancer in non-contrast-enhanced MRI. | Paulo Lapa, Ivo Gonalves, Leonardo Rundo, Mauro Castelli |
| 2019 | ICCS | Top k 2-Clubs in a Network: A Genetic Algorithm. | Mauro Castelli, Riccardo Dondi, Sara Manzoni, Giancarlo Mauri, Italo Zoppis |
| 2019 | ICCS | Comparing Deep and Machine Learning Approaches in Bioinformatics: A miRNA-Target Prediction Case Study. | Valentina Giansanti, Mauro Castelli, Stefano Beretta, Ivan Merelli |
| 2019 | IJCCI | A Regression-like Classification System for Geometric Semantic Genetic Programming. | Illya Bakurov, Mauro Castelli, Francesco Fontanella, Leonardo Vanneschi |
| 2019 | IJCCI | Universal Learning Machine with Genetic Programming. | Alessandro Re, Leonardo Vanneschi, Mauro Castelli |
| 2018 | EUROGP | Pruning Techniques for Mixed Ensembles of Genetic Programming Models. | Mauro Castelli, Ivo Gonalves, Luca Manzoni, Leonardo Vanneschi |
| 2018 | EUROGP | A Multiple Expression Alignment Framework for Genetic Programming. | Leonardo Vanneschi, Kristen M. Scott, Mauro Castelli |
| 2018 | GECCO | Neuroevolution under unimodal error landscapes: an exploration of the semantic learning machine algorithm. | Jan-Benedikt Jagusch, Ivo Gonalves, Mauro Castelli |
| 2018 | PPSN | EDDA-V2 - An Improvement of the Evolutionary Demes Despeciation Algorithm. | Illya Bakurov, Leonardo Vanneschi, Mauro Castelli, Francesco Fontanella |
| 2017 | CEC | Towards the development of a complete GP system on an FPGA using geometric semantic operators. | Carlos A. Goribar Jimnez, Yazmn Maldonado, Leonardo Trujillo, Mauro Castelli, Ivo Gonalves, Leonardo Vanneschi |
| 2017 | CEC | An initialization technique for geometric semantic GP based on demes evolution and despeciation. | Leonardo Vanneschi, Illya Bakurov, Mauro Castelli |
| 2017 | CEC | Geometric semantic genetic programming for biomedical applications: A state of the art upgrade. | Leonardo Vanneschi, Mauro Castelli, Ivo Gonalves, Luca Manzoni, Sara Silva |
| 2017 | CPM | The Longest Filled Common Subsequence Problem. | Mauro Castelli, Riccardo Dondi, Giancarlo Mauri, Italo Zoppis |
| 2017 | GECCO | Unsure when to stop?: ask your semantic neighbors. | Ivo Gonalves, Sara Silva, Carlos M. Fonseca, Mauro Castelli |
| 2017 | GECCO | PSXO: population-wide semantic crossover. | Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Krzysztof Krawiec, Alberto Moraglio, Sara Silva, Ivo Gonalves |
| 2017 | ICCS | 10 | Giuseppe Agapito, Mario Cannataro, Mauro Castelli, Riccardo Dondi, Italo Zoppis |
| 2016 | GECCO | Arbitrarily Close Alignments in the Error Space: A Geometric Semantic Genetic Programming Approach. | Ivo Gonalves, Sara Silva, Carlos M. Fonseca, Mauro Castelli |
| 2016 | ICCS | 9 | Stefano Beretta, Mario Cannataro, Mauro Castelli |
| 2016 | IJCCI | Combining Bayesian Approaches and Evolutionary Techniques for the Inference of Breast Cancer Networks. | Stefano Beretta, Mauro Castelli, Ivo Gonalves, Ivan Merelli, Daniele Ramazzotti |
| 2016 | IJCCI | An Analysis of Geometric Semantic Crossover: A Computational Geometry Approach. | Mauro Castelli, Luca Manzoni, Ivo Gonalves, Leonardo Vanneschi, Leonardo Trujillo, Sara Silva |
| 2016 | PDP | A Machine Learning Approach for the Integration of miRNA-Target Predictions. | Stefano Beretta, Mauro Castelli, Yuliana Martnez, Luis Muoz, Sara Silva, Leonardo Trujillo, Luciano Milanesi, Ivan Merelli |
| 2015 | EPIA | Electricity Demand Modelling with Genetic Programming. | Mauro Castelli, Matteo De Felice, Luca Manzoni, Leonardo Vanneschi |
| 2015 | GECCO | Geometric Semantic Genetic Programming with Local Search. | Mauro Castelli, Leonardo Trujillo, Leonardo Vanneschi, Sara Silva, Emigdio Z.-Flores, Pierrick Legrand |
| 2014 | EUROGP | A Multi-dimensional Genetic Programming Approach for Multi-class Classification Problems. | Vijay Ingalalli, Sara Silva, Mauro Castelli, Leonardo Vanneschi |
| 2014 | EUROGP | ESAGP - A Semantic GP Framework Based on Alignment in the Error Space. | Stefano Ruberto, Leonardo Vanneschi, Mauro Castelli, Sara Silva |
| 2013 | EPIA | 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 |
| 2013 | EUROGP | A New Implementation of Geometric Semantic GP and Its Application to Problems in Pharmacokinetics. | Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Sara Silva |
| 2013 | GECCO | 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 |
| 2012 | GECCO | Parameter tuning of evolutionary reactions systems. | Mauro Castelli, Luca Manzoni, Leonardo Vanneschi |
| 2012 | GECCO | 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 |
| 2011 | EPIA | A Method to Reuse Old Populations in Genetic Algorithms. | Mauro Castelli, Luca Manzoni, Leonardo Vanneschi |
| 2011 | EUROGP | A Quantitative Study of Learning and Generalization in Genetic Programming. | Mauro Castelli, Luca Manzoni, Sara Silva, Leonardo Vanneschi |
| 2011 | GECCO | The effect of selection from old populations in genetic algorithms. | Mauro Castelli, Luca Manzoni, Leonardo Vanneschi |
| 2011 | GECCO | The K landscapes: a tunably difficult benchmark for genetic programming. | Leonardo Vanneschi, Mauro Castelli, Luca Manzoni |
| 2010 | CEC | A comparison of the generalization ability of different genetic programming frameworks. | Mauro Castelli, Luca Manzoni, Sara Silva, Leonardo Vanneschi |
| 2010 | GECCO | Measuring bloat, overfitting and functional complexity in genetic programming. | Leonardo Vanneschi, Mauro Castelli, Sara Silva |