| 2025 | GECCO | A Proposal for a Leaner Narrative of Learning Classifier Systems. | Pier Luca Lanzi, Daniele Loiacono |
| 2025 | IJCNN | A Deep Reinforcement Learning Agent for Sound-Based Fighting Games. | Yan Zhuang, Daniele Loiacono, Pier Luca Lanzi |
| 2024 | ICPR | Memory-Efficient 3D High-Resolution Medical Image Synthesis Using CRF-Guided GANs. | Mahshid Shiri, Alessandro Bruno, Daniele Loiacono |
| 2024 | MICCAI | Investigating Gender Bias in Lymph-Node Segmentation with Anatomical Priors. | Ricardo Coimbra Brioso, Damiano Dei, Nicola Lambri, Pietro Mancosu, Marta Scorsetti, Daniele Loiacono |
| 2023 | CBMS | Segmentation of Planning Target Volume in CT Series for Total Marrow Irradiation Using U-Net. | Ricardo Coimbra Brioso, Damiano Dei, Ciro Franzese, Nicola Lambri, Daniele Loiacono, Pietro Mancosu, Marta Scorsetti |
| 2023 | CBMS | Comparing Adversarial and Supervised Learning for Organs at Risk Segmentation in CT images. | Leonardo Crespi, Mattia Portanti, Daniele Loiacono |
| 2023 | CBMS | Ensemble Methods for Multi-Organ Segmentation in CT series. | Leonardo Crespi, Paolo Roncaglioni, Damiano Dei, Ciro Franzese, Nicola Lambri, Daniele Loiacono, Pietro Mancosu, Marta Scorsetti |
| 2023 | GECCO | ChatGPT and Other Large Language Models as Evolutionary Engines for Online Interactive Collaborative Game Design. | Pier Luca Lanzi, Daniele Loiacono |
| 2022 | AVI | A human-centric AI-driven framework for exploring large and complex datasets. | Maria Francesca Costabile, Giuseppe Desolda, Giovanni Dimauro, Rosa Lanzilotti, Daniele Loiacono, Maristella Matera, Massimo Zancanaro |
| 2022 | IJCNN | Are 3D better than 2D Convolutional Neural Networks for Medical Imaging Semantic Segmentation? | Leonardo Crespi, Daniele Loiacono, Pierandrea Sartori |
| 2021 | IJCNN | Image Embedding and Model Ensembling for Automated Chest X-Ray Interpretation. | Edoardo Giacomello, Pier Luca Lanzi, Daniele Loiacono, Luca Nassano |
| 2020 | FDG | Asking Students to Do All the Work: An Analysis of a Fully Peer-Assessed Course on Game Design and Development. | Pier Luca Lanzi, Daniele Loiacono |
| 2020 | IJCNN | Brain MRI Tumor Segmentation with Adversarial Networks. | Edoardo Giacomello, Daniele Loiacono, Luca T. Mainardi |
| 2013 | GECCO | Computational intelligence and games. | Daniele Loiacono, Mike Preuss |
| 2012 | GECCO | Computational intelligence in games. | Daniele Loiacono, Mike Preu |
| 2011 | GECCO | Interactive evolution for the procedural generation of tracks in a high-end racing game. | Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi |
| 2011 | GECCO | Fast prediction computation in learning classifier systems using CUDA. | Daniele Loiacono |
| 2010 | CEC | Applying cooperative coevolution to compete in the 2009 TORCS Endurance World Championship. | Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi |
| 2010 | CEC | Learning to overtake in TORCS using simple reinforcement learning. | Daniele Loiacono, Alessandro Prete, Pier Luca Lanzi, Luigi Cardamone |
| 2009 | CEC | On-line neuroevolution applied to The Open Racing Car Simulator. | Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi |
| 2009 | GECCO | Evolving competitive car controllers for racing games with neuroevolution. | Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi |
| 2008 | CEC | Evolving classifier ensembles with voting predictors. | Pier Luca Lanzi, Daniele Loiacono, Matteo Zanini |
| 2008 | CEC | Computed prediction in binary multistep problems. | Daniele Loiacono, Pier Luca Lanzi |
| 2008 | CEC | High-level synthesis with multi-objective genetic algorithm: A comparative encoding analysis. | Christian Pilato, Daniele Loiacono, Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto |
| 2008 | GECCO | An analysis of matching in learning classifier systems. | Martin V. Butz, Pier Luca Lanzi, Xavier Llor, Daniele Loiacono |
| 2008 | GECCO | Recursive least squares and quadratic prediction in continuous multistep problems. | Daniele Loiacono, Pier Luca Lanzi |
| 2007 | CEC | Support vector machines for computing action mappings in learning classifier systems. | Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi |
| 2007 | GECCO | Classifier systems that compute action mappings. | Pier Luca Lanzi, Daniele Loiacono |
| 2007 | GECCO | Support vector regression for classifier prediction. | Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi |
| 2006 | CEC | XCSF with Neural Prediction. | Pier Luca Lanzi, Daniele Loiacono |
| 2006 | GECCO | Standard and averaging reinforcement learning in XCS. | Pier Luca Lanzi, Daniele Loiacono |
| 2006 | GECCO | Classifier prediction based on tile coding. | Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg |
| 2006 | GECCO | Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation. | Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg |
| 2005 | CEC | XCS with computed prediction for the learning of Boolean functions. | Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg |
| 2005 | CEC | XCS with computed prediction in continuous multistep environments. | Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg |
| 2005 | GECCO | Extending XCSF beyond linear approximation. | Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg |
| 2005 | GECCO | XCS with computed prediction in multistep environments. | Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg |
| 2005 | GECCO | Improving generalization in the XCSF classifier system using linear least-squares. | Daniele Loiacono, Pier Luca Lanzi |