XCS with computed prediction for the learning of Boolean functions. - Pier Luca Lanzi; Daniele Loiacono; Stewart W. Wilson; David E. Goldberg (Congress on Evolutionary Computation, 2005)

XCS with computed prediction in continuous multistep environments. - Pier Luca Lanzi; Daniele Loiacono; Stewart W. Wilson; David E. Goldberg (Congress on Evolutionary Computation, 2005)

Extending XCSF beyond linear approximation. - Pier Luca Lanzi; Daniele Loiacono; Stewart W. Wilson; David E. Goldberg (GECCO, 2005)

XCS with computed prediction in multistep environments. - Pier Luca Lanzi; Daniele Loiacono; Stewart W. Wilson; David E. Goldberg (GECCO, 2005)

Improving generalization in the XCSF classifier system using linear least-squares. - Daniele Loiacono; Pier Luca Lanzi (GECCO Workshops, 2005)

XCSF with Neural Prediction. - Pier Luca Lanzi; Daniele Loiacono (IEEE Congress on Evolutionary Computation, 2006)

Standard and averaging reinforcement learning in XCS. - Pier Luca Lanzi; Daniele Loiacono (GECCO, 2006)

Classifier prediction based on tile coding. - Pier Luca Lanzi; Daniele Loiacono; Stewart W. Wilson; David E. Goldberg (GECCO, 2006)

Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation. - Pier Luca Lanzi; Daniele Loiacono; Stewart W. Wilson; David E. Goldberg (GECCO, 2006)

Support vector machines for computing action mappings in learning classifier systems. - Daniele Loiacono; Andrea Marelli; Pier Luca Lanzi (IEEE Congress on Evolutionary Computation, 2007)

Classifier systems that compute action mappings. - Pier Luca Lanzi; Daniele Loiacono (GECCO, 2007)

Support vector regression for classifier prediction. - Daniele Loiacono; Andrea Marelli; Pier Luca Lanzi (GECCO, 2007)

Evolving Classifiers Ensembles with Heterogeneous Predictors. - Pier Luca Lanzi; Daniele Loiacono; Matteo Zanini (IWLCS, 2007)

Analysis and Improvements of the Classifier Error Estimate in XCSF. - Daniele Loiacono; Jan Drugowitsch; Alwyn Barry; Pier Luca Lanzi (IWLCS, 2007)

Generalization in the XCSF Classifier System: Analysis, Improvement, and Extension. - Pier Luca Lanzi; Daniele Loiacono; Stewart W. Wilson; David E. Goldberg (Evol. Comput., 2007)

Synchronization in Ecological Networks: a Byproduct of Darwinian Evolution? - Fabio Dercole; Daniele Loiacono; Sergio Rinaldi (Int. J. Bifurc. Chaos, 2007)

Evolving classifier ensembles with voting predictors. - Pier Luca Lanzi; Daniele Loiacono; Matteo Zanini (IEEE Congress on Evolutionary Computation, 2008)

Computed prediction in binary multistep problems. - Daniele Loiacono; Pier Luca Lanzi (IEEE Congress on Evolutionary Computation, 2008)

High-level synthesis with multi-objective genetic algorithm: A comparative encoding analysis. - Christian Pilato; Daniele Loiacono; Fabrizio Ferrandi; Pier Luca Lanzi; Donatella Sciuto (IEEE Congress on Evolutionary Computation, 2008)

The WCCI 2008 simulated car racing competition. - Daniele Loiacono; Julian Togelius; Pier Luca Lanzi; Leonard Kinnaird-Heether; Simon M. Lucas; Matt Simmerson; Diego Perez Liebana; Robert G. Reynolds; Yago Sáez (CIG, 2008)

Tile Coding Based on Hyperplane Tiles. - Daniele Loiacono; Pier Luca Lanzi (EWRL, 2008)

An analysis of matching in learning classifier systems. - Martin V. Butz; Pier Luca Lanzi; Xavier Llorà; Daniele Loiacono (GECCO, 2008)

Recursive least squares and quadratic prediction in continuous multistep problems. - Daniele Loiacono; Pier Luca Lanzi (GECCO (Companion), 2008)

A Multi-objective Genetic Algorithm for Design Space Exploration in High-Level Synthesis. - Fabrizio Ferrandi; Pier Luca Lanzi; Daniele Loiacono; Christian Pilato; Donatella Sciuto (ISVLSI, 2008)

On-line neuroevolution applied to The Open Racing Car Simulator. - Luigi Cardamone; Daniele Loiacono; Pier Luca Lanzi (IEEE Congress on Evolutionary Computation, 2009)

Learning drivers for TORCS through imitation using supervised methods. - Luigi Cardamone; Daniele Loiacono; Pier Luca Lanzi (CIG, 2009)

Learning a context-aware weapon selection policy for Unreal Tournament III. - Luca Galli; Daniele Loiacono; Pier Luca Lanzi (CIG, 2009)

Simulated car racing. - Daniele Loiacono; Julian Togelius; Pier Luca Lanzi (CIG, 2009)

Evolving competitive car controllers for racing games with neuroevolution. - Luigi Cardamone; Daniele Loiacono; Pier Luca Lanzi (GECCO, 2009)

Speeding Up Matching in Learning Classifier Systems Using CUDA. - Pier Luca Lanzi; Daniele Loiacono (IWLCS, 2009)

Applying cooperative coevolution to compete in the 2009 TORCS Endurance World Championship. - Luigi Cardamone; Daniele Loiacono; Pier Luca Lanzi (IEEE Congress on Evolutionary Computation, 2010)

Learning to overtake in TORCS using simple reinforcement learning. - Daniele Loiacono; Alessandro Prete; Pier Luca Lanzi; Luigi Cardamone (IEEE Congress on Evolutionary Computation, 2010)

Searching for the optimal racing line using genetic algorithms. - Luigi Cardamone; Daniele Loiacono; Pier Luca Lanzi; Alessandro Pietro Bardelli (CIG, 2010)

Overtaking opponents with blocking strategies using fuzzy logic. - Enrique Onieva; Luigi Cardamone; Daniele Loiacono; Pier Luca Lanzi (CIG, 2010)

Learning to Drive in the Open Racing Car Simulator Using Online Neuroevolution. - Luigi Cardamone; Daniele Loiacono; Pier Luca Lanzi (IEEE Trans. Comput. Intell. AI Games, 2010)

The 2009 Simulated Car Racing Championship. - Daniele Loiacono; Pier Luca Lanzi; Julian Togelius; Enrique Onieva; David A. Pelta; Martin V. Butz; Thies D. Lönneker; Luigi Cardamone; Diego Perez Liebana; Yago Sáez; Mike Preuss; Jan Quadflieg (IEEE Trans. Comput. Intell. AI Games, 2010)

Transfer of driving behaviors across different racing games. - Luigi Cardamone; Antonio Caiazzo; Daniele Loiacono; Pier Luca Lanzi (CIG, 2011)

A cheating detection framework for Unreal Tournament III: A machine learning approach. - Luca Galli; Daniele Loiacono; Luigi Cardamone; Pier Luca Lanzi (CIG, 2011)

Interactive evolution for the procedural generation of tracks in a high-end racing game. - Luigi Cardamone; Daniele Loiacono; Pier Luca Lanzi (GECCO, 2011)

Fast prediction computation in learning classifier systems using CUDA. - Daniele Loiacono (GECCO (Companion), 2011)

Automatic Track Generation for High-End Racing Games Using Evolutionary Computation. - Daniele Loiacono; Luigi Cardamone; Pier Luca Lanzi (IEEE Trans. Comput. Intell. AI Games, 2011)

Learning, evolution and adaptation in racing games. - Daniele Loiacono (Conf. Computing Frontiers, 2012)

Evolving the optimal racing line in a high-end racing game. - Matteo Botta; Vincenzo Gautieri; Daniele Loiacono; Pier Luca Lanzi (CIG, 2012)

Computational intelligence in games. - Daniele Loiacono; Mike Preuß (GECCO (Companion), 2012)

Special issue on advances in learning classifier systems. - Daniele Loiacono; Albert Orriols-Puig; Ryan J. Urbanowicz (Evol. Intell., 2012)

Player Modeling. - Georgios N. Yannakakis; Pieter Spronck; Daniele Loiacono; Elisabeth André (Artificial and Computational Intelligence in Games, 2013)

Tuning mobile game design using data mining. - Pier Luca Lanzi; Daniele Loiacono; Emanuele Parini; Federico Sannicoló; Davide Jones; Claudio Scamporlino (IGIC, 2013)

Computational intelligence and games. - Daniele Loiacono; Mike Preuss (GECCO (Companion), 2013)

Simulated Car Racing Championship: Competition Software Manual - Daniele Loiacono; Luigi Cardamone; Pier Luca Lanzi (CoRR, 2013)

Advanced overtaking behaviors for blocking opponents in racing games using a fuzzy architecture. - Luigi Cardamone; Pier Luca Lanzi; Daniele Loiacono; Enrique Onieva (Expert Syst. Appl., 2013)

Applying data mining to extract design patterns from Unreal Tournament levels. - Luca Galli; Pier Luca Lanzi; Daniele Loiacono (CIG, 2014)

Evolving maps for match balancing in first person shooters. - Pier Luca Lanzi; Daniele Loiacono; Riccardo Stucchi (CIG, 2014)

Gene I. Sher: Handbook of neuroevolution through Erlang - Springer, 2013, ISBN: 978-1461444626, pp 831, $189. - Daniele Loiacono (Genet. Program. Evolvable Mach., 2014)

Special issue on GECCO competitions. - Daniele Loiacono; Moshe Sipper (Genet. Program. Evolvable Mach., 2014)

Procedural weapons generation for unreal tournament III. - Daniele Gravina; Daniele Loiacono (GEM, 2015)

Volcano: An interactive sword generator. - Michele Pirovano; Renato Mainetti; Daniele Loiacono (GEM, 2015)

TrackGen: An interactive track generator for TORCS and Speed-Dreams. - Luigi Cardamone; Pier Luca Lanzi; Daniele Loiacono (Appl. Soft Comput., 2015)

XCSF with tile coding in discontinuous action-value landscapes. - Pier Luca Lanzi; Daniele Loiacono (Evol. Intell., 2015)

Fight or flight: Evolving maps for cube 2 to foster a fleeing behavior. - Daniele Loiacono; Luca Arnaboldi 003 (CIG, 2017)

Robo3: A Puzzle Game to Learn Coding. - Filippo Agalbato; Daniele Loiacono (GEM, 2018)

An Integrated Framework for AI Assisted Level Design in 2D Platformers. - Antonio Umberto Aramini; Pier Luca Lanzi; Daniele Loiacono (GEM, 2018)

DOOM Level Generation Using Generative Adversarial Networks. - Edoardo Giacomello; Pier Luca Lanzi; Daniele Loiacono (GEM, 2018)

Heuristics for Placing the Spawn Points in Multiplayer First Person Shooters. - Marco Ballabio; Daniele Loiacono (CoG, 2019)

Searching the Latent Space of a Generative Adversarial Network to Generate DOOM Levels. - Edoardo Giacomello; Pier Luca Lanzi; Daniele Loiacono (CoG, 2019)

Transfer Brain MRI Tumor Segmentation Models Across Modalities with Adversarial Networks. - Edoardo Giacomello; Daniele Loiacono; Luca T. Mainardi (CoRR, 2019)

Multiobjective Evolutionary Map Design for Cube 2: Sauerbraten. - Daniele Loiacono; Luca Arnaboldi 003 (IEEE Trans. Games, 2019)

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 (FDG, 2020)

Brain MRI Tumor Segmentation with Adversarial Networks. - Edoardo Giacomello; Daniele Loiacono; Luca T. Mainardi (IJCNN, 2020)

Brain Magnetic Resonance Imaging Generation using Generative Adversarial Networks. - Emanuel Alogna; Edoardo Giacomello; Daniele Loiacono (SSCI, 2020)

Short-Term Trajectory Planning in TORCS using Deep Reinforcement Learning. - Emilio Capo; Daniele Loiacono (SSCI, 2020)

A Framework to Create Collaborative Games for Team Building using Procedural Content Generation. - Umberto Picariello; Daniele Loiacono; Fabio Mosca; Pier Luca Lanzi (SSCI, 2020)

An Educational Experience to Raise Awareness About Space Debris. - Camilla Colombo; Nicoletta Di Blas; Ioannis Gkolias; Pier Luca Lanzi; Daniele Loiacono; Erica Stella (IEEE Access, 2020)

Image Embedding and Model Ensembling for Automated Chest X-Ray Interpretation. - Edoardo Giacomello; Pier Luca Lanzi; Daniele Loiacono; Luca Nassano (IJCNN, 2021)

Chest X-Rays Image Classification from $ beta{-}$ Variational Autoencoders Latent Features. - Leonardo Crespi; Daniele Loiacono; Arturo Chiti (SSCI, 2021)

Distributed Learning Approaches for Automated Chest X-Ray Diagnosis. - Edoardo Giacomello; Michele Cataldo; Daniele Loiacono; Pier Luca Lanzi (CoRR, 2021)

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 (CoPDA@AVI, 2022)

Are 3D better than 2D Convolutional Neural Networks for Medical Imaging Semantic Segmentation? - Leonardo Crespi; Daniele Loiacono; Pierandrea Sartori (IJCNN, 2022)

One Pixel, One Interaction, One Game: An Experiment in Minimalist Game Design. - Pier Luca Lanzi; Daniele Loiacono; Alberto Arosio; Dorian Bucur; Davide Caio; Luca Capecchi; Maria Giulietta Cappelletti; Lorenzo Carnaghi; Marco Giuseppe Caruso; Valerio Ceraudo; Luca Contato; Luca Cornaggia; et al. (CoRR, 2022)

A genetic algorithm tool for conceptual structural design with cost and embodied carbon optimization. - Alper Kanyilmaz; Patricia Raquel Navarro Tichell; Daniele Loiacono (Eng. Appl. Artif. Intell., 2022)

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 (CBMS, 2023)

Comparing Adversarial and Supervised Learning for Organs at Risk Segmentation in CT images. - Leonardo Crespi; Mattia Portanti; Daniele Loiacono (CBMS, 2023)

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 (CBMS, 2023)

ChatGPT and Other Large Language Models as Evolutionary Engines for Online Interactive Collaborative Game Design. - Pier Luca Lanzi; Daniele Loiacono (GECCO, 2023)

A virtual reality classroom to teach and explore crystal solid state structures. - Erica Stella; Isabella Agosti; Nicoletta Di Blas; Marco Finazzi; Pier Luca Lanzi; Daniele Loiacono (Multim. Tools Appl., 2023)

An analysis of DOOM level generation using Generative Adversarial Networks. - Edoardo Giacomello; Pier Luca Lanzi; Daniele Loiacono (Entertain. Comput., 2023)

A Tool for the Procedural Generation of Shaders Using Interactive Evolutionary Algorithms. - Elio Sasso; Daniele Loiacono; Pier Luca Lanzi (GEM, 2024)

Memory-Efficient 3D High-Resolution Medical Image Synthesis Using CRF-Guided GANs. - Mahshid Shiri; Alessandro Bruno; Daniele Loiacono (ICPR (Workshops and Challenges, 2), 2024)

Investigating Gender Bias in Lymph-Node Segmentation with Anatomical Priors. - Ricardo Coimbra Brioso; Damiano Dei; Nicola Lambri; Pietro Mancosu; Marta Scorsetti; Daniele Loiacono (FAIMI/EPIMI@MICCAI, 2024)

Deep Learning-Based Auto-Segmentation of Planning Target Volume for Total Marrow and Lymph Node Irradiation. - Ricardo Coimbra Brioso; Damiano Dei; Nicola Lambri; Daniele Loiacono; Pietro Mancosu; Marta Scorsetti (CoRR, 2024)

Leveraging Multimodal CycleGAN for the Generation of Anatomically Accurate Synthetic CT Scans from MRIs. - Leonardo Crespi; Samuele Camnasio; Damiano Dei; Nicola Lambri; Pietro Mancosu; Marta Scorsetti; Daniele Loiacono (CoRR, 2024)

Comparative clinical evaluation of "memory-efficient" synthetic 3d generative adversarial networks (gan) head-to-head to state of art: results on computed tomography of the chest. - Mahshid Shiri; Chandra Bortolotto; Alessandro Bruno; Alessio Consonni; Daniela Maria Grasso; Leonardo Brizzi; Daniele Loiacono; Lorenzo Preda (CoRR, 2025)

ARTInp: CBCT-to-CT Image Inpainting and Image Translation in Radiotherapy. - Ricardo Coimbra Brioso; Leonardo Crespi; Andrea Seghetto; Damiano Dei; Nicola Lambri; Pietro Mancosu; Marta Scorsetti; Daniele Loiacono (CoRR, 2025)