Daniele Loiacono

107 papers A 11B 17C 3Journal 35Unranked 40

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	A Deep Reinforcement Learning Agent for Sound-Based Fighting Games. IJCNN Yan Zhuang, Daniele Loiacono, Pier Luca Lanzi
2025	—	`conf`	A Proposal for a Leaner Narrative of Learning Classifier Systems. GECCO Companion Pier Luca Lanzi, Daniele Loiacono
2025	J	`jnl`	ARTInp: CBCT-to-CT Image Inpainting and Image Translation in Radiotherapy. CoRR Ricardo Coimbra Brioso, Leonardo Crespi, Andrea Seghetto, Damiano Dei, Nicola Lambri, Pietro Mancosu, Marta Scorsetti, Daniele Loiacono
2025	J	`jnl`	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. CoRR Mahshid Shiri, Chandra Bortolotto, Alessandro Bruno, Alessio Consonni, Daniela Maria Grasso, Leonardo Brizzi, Daniele Loiacono, Lorenzo Preda
2025	J	`jnl`	Memory-Efficient 3D High-Resolution Medical Image Synthesis Using CRF-Guided GANs. CoRR Mahshid Shiri, Alessandro Bruno, Daniele Loiacono
2025	—	`conf`	Proactive Sensing of Environmental Events Through Optical Data Networks: a Path to Intelligent Resilience. ECOC Cecilia Clivati, Simone Donadello, Filippo Levi, Davide Calonico, Renato Ambrosone, Rossella Centonze, Federico Notarstefano, Emanuele Virgillito, Aladino Govoni, Lucia Margheriti, Maurizio Vassallo, Andrè Herrero, Sergio Bontempi, Daniele Loiacono, Stefano Straullu, Antonino Nespola, Marianna Hovsepyan, Francesco Carpentieri, Vittorio Curri
2024	—	`conf`	A Tool for the Procedural Generation of Shaders Using Interactive Evolutionary Algorithms. GEM Elio Sasso, Daniele Loiacono, Pier Luca Lanzi
2024	J	`jnl`	Deep Learning-Based Auto-Segmentation of Planning Target Volume for Total Marrow and Lymph Node Irradiation. CoRR Ricardo Coimbra Brioso, Damiano Dei, Nicola Lambri, Daniele Loiacono, Pietro Mancosu, Marta Scorsetti
2024	—	`conf`	Investigating Gender Bias in Lymph-Node Segmentation with Anatomical Priors. FAIMI/EPIMI@MICCAI Ricardo Coimbra Brioso, Damiano Dei, Nicola Lambri, Pietro Mancosu, Marta Scorsetti, Daniele Loiacono
2024	J	`jnl`	Investigating Gender Bias in Lymph-node Segmentation with Anatomical Priors. CoRR Ricardo Coimbra Brioso, Damiano Dei, Nicola Lambri, Pietro Mancosu, Marta Scorsetti, Daniele Loiacono
2024	J	`jnl`	Leveraging Multimodal CycleGAN for the Generation of Anatomically Accurate Synthetic CT Scans from MRIs. CoRR Leonardo Crespi, Samuele Camnasio, Damiano Dei, Nicola Lambri, Pietro Mancosu, Marta Scorsetti, Daniele Loiacono
2024	—	`conf`	Memory-Efficient 3D High-Resolution Medical Image Synthesis Using CRF-Guided GANs. ICPR (Workshops and Challenges, 2) Mahshid Shiri, Alessandro Bruno, Daniele Loiacono
2023	J	`jnl`	A Tool for the Procedural Generation of Shaders using Interactive Evolutionary Algorithms. CoRR Elio Sasso, Daniele Loiacono, Pier Luca Lanzi
2023	J	`jnl`	A virtual reality classroom to teach and explore crystal solid state structures. Multim. Tools Appl. Erica Stella, Isabella Agosti, Nicoletta Di Blas, Marco Finazzi, Pier Luca Lanzi, Daniele Loiacono
2023	J	`jnl`	An analysis of DOOM level generation using Generative Adversarial Networks. Entertain. Comput. Edoardo Giacomello, Pier Luca Lanzi, Daniele Loiacono
2023	A	`conf`	ChatGPT and Other Large Language Models as Evolutionary Engines for Online Interactive Collaborative Game Design. GECCO Pier Luca Lanzi, Daniele Loiacono
2023	J	`jnl`	ChatGPT and Other Large Language Models as Evolutionary Engines for Online Interactive Collaborative Game Design. CoRR Pier Luca Lanzi, Daniele Loiacono
2023	B	`conf`	Comparing Adversarial and Supervised Learning for Organs at Risk Segmentation in CT images. CBMS Leonardo Crespi, Mattia Portanti, Daniele Loiacono
2023	J	`jnl`	Comparing Adversarial and Supervised Learning for Organs at Risk Segmentation in CT images. CoRR Leonardo Crespi, Mattia Portanti, Daniele Loiacono
2023	J	`jnl`	Ensemble Methods for Multi-Organ Segmentation in CT Series. CoRR Leonardo Crespi, Paolo Roncaglioni, Damiano Dei, Ciro Franzese, Nicola Lambri, Daniele Loiacono, Pietro Mancosu, Marta Scorsetti
2023	B	`conf`	Ensemble Methods for Multi-Organ Segmentation in CT series. CBMS Leonardo Crespi, Paolo Roncaglioni, Damiano Dei, Ciro Franzese, Nicola Lambri, Daniele Loiacono, Pietro Mancosu, Marta Scorsetti
2023	B	`conf`	Segmentation of Planning Target Volume in CT Series for Total Marrow Irradiation Using U-Net. CBMS Ricardo Coimbra Brioso, Damiano Dei, Ciro Franzese, Nicola Lambri, Daniele Loiacono, Pietro Mancosu, Marta Scorsetti
2023	J	`jnl`	Segmentation of Planning Target Volume in CT Series for Total Marrow Irradiation Using U-Net. CoRR Ricardo Coimbra Brioso, Damiano Dei, Ciro Franzese, Nicola Lambri, Daniele Loiacono, Pietro Mancosu, Marta Scorsetti
2022	J	`jnl`	A genetic algorithm tool for conceptual structural design with cost and embodied carbon optimization. Eng. Appl. Artif. Intell. Alper Kanyilmaz, Patricia Raquel Navarro Tichell, Daniele Loiacono
2022	—	`conf`	A human-centric AI-driven framework for exploring large and complex datasets. CoPDA@AVI Maria Francesca Costabile, Giuseppe Desolda, Giovanni Dimauro, Rosa Lanzilotti, Daniele Loiacono, Maristella Matera, Massimo Zancanaro
2022	B	`conf`	Are 3D better than 2D Convolutional Neural Networks for Medical Imaging Semantic Segmentation? IJCNN Leonardo Crespi, Daniele Loiacono, Pierandrea Sartori
2022	J	`jnl`	One Pixel, One Interaction, One Game: An Experiment in Minimalist Game Design. CoRR 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, Christian Costanza, Tommaso Grilli, Sumero Lira, Luca Marchetti, Giulia Olivares, Barbara Pagano, Davide Pons, Michele Pirovano, Valentina Tosto
2021	—	`conf`	Chest X-Rays Image Classification from $\beta{-}$ Variational Autoencoders Latent Features. SSCI Leonardo Crespi, Daniele Loiacono, Arturo Chiti
2021	J	`jnl`	Chest X-Rays Image Classification from beta-Variational Autoencoders Latent Features. CoRR Leonardo Crespi, Daniele Loiacono, Arturo Chiti
2021	J	`jnl`	Distributed Learning Approaches for Automated Chest X-Ray Diagnosis. CoRR Edoardo Giacomello, Michele Cataldo, Daniele Loiacono, Pier Luca Lanzi
2021	B	`conf`	Image Embedding and Model Ensembling for Automated Chest X-Ray Interpretation. IJCNN Edoardo Giacomello, Pier Luca Lanzi, Daniele Loiacono, Luca Nassano
2021	J	`jnl`	Image Embedding and Model Ensembling for Automated Chest X-Ray Interpretation. CoRR Edoardo Giacomello, Pier Luca Lanzi, Daniele Loiacono, Luca Nassano
2020	—	`conf`	A Framework to Create Collaborative Games for Team Building using Procedural Content Generation. SSCI Umberto Picariello, Daniele Loiacono, Fabio Mosca, Pier Luca Lanzi
2020	J	`jnl`	An Educational Experience to Raise Awareness About Space Debris. IEEE Access Camilla Colombo, Nicoletta Di Blas, Ioannis Gkolias, Pier Luca Lanzi, Daniele Loiacono, Erica Stella
2020	C	`conf`	Asking Students to Do All the Work: An Analysis of a Fully Peer-Assessed Course on Game Design and Development. FDG Pier Luca Lanzi, Daniele Loiacono
2020	B	`conf`	Brain MRI Tumor Segmentation with Adversarial Networks. IJCNN Edoardo Giacomello, Daniele Loiacono, Luca T. Mainardi
2020	—	`conf`	Brain Magnetic Resonance Imaging Generation using Generative Adversarial Networks. SSCI Emanuel Alogna, Edoardo Giacomello, Daniele Loiacono
2020	—	`conf`	Short-Term Trajectory Planning in TORCS using Deep Reinforcement Learning. SSCI Emilio Capo, Daniele Loiacono
2019	C	`conf`	Heuristics for Placing the Spawn Points in Multiplayer First Person Shooters. CoG Marco Ballabio, Daniele Loiacono
2019	J	`jnl`	Multiobjective Evolutionary Map Design for Cube 2: Sauerbraten. IEEE Trans. Games Daniele Loiacono, Luca Arnaboldi
2019	C	`conf`	Searching the Latent Space of a Generative Adversarial Network to Generate DOOM Levels. CoG Edoardo Giacomello, Pier Luca Lanzi, Daniele Loiacono
2019	J	`jnl`	Transfer Brain MRI Tumor Segmentation Models Across Modalities with Adversarial Networks. CoRR Edoardo Giacomello, Daniele Loiacono, Luca T. Mainardi
2018	—	`conf`	An Integrated Framework for AI Assisted Level Design in 2D Platformers. GEM Antonio Umberto Aramini, Pier Luca Lanzi, Daniele Loiacono
2018	J	`jnl`	An Integrated Framework for AI Assisted Level Design in 2D Platformers. CoRR Antonio Umberto Aramini, Pier Luca Lanzi, Daniele Loiacono
2018	—	`conf`	DOOM Level Generation Using Generative Adversarial Networks. GEM Edoardo Giacomello, Pier Luca Lanzi, Daniele Loiacono
2018	J	`jnl`	DOOM Level Generation using Generative Adversarial Networks. CoRR Edoardo Giacomello, Pier Luca Lanzi, Daniele Loiacono
2018	—	`conf`	Robo GEM Filippo Agalbato, Daniele Loiacono
2017	—	`conf`	Fight or flight: Evolving maps for cube 2 to foster a fleeing behavior. CIG Daniele Loiacono, Luca Arnaboldi
2015	—	`conf`	Procedural weapons generation for unreal tournament III. GEM Daniele Gravina, Daniele Loiacono
2015	J	`jnl`	TrackGen: An interactive track generator for TORCS and Speed-Dreams. Appl. Soft Comput. Luigi Cardamone, Pier Luca Lanzi, Daniele Loiacono
2015	—	`conf`	Volcano: An interactive sword generator. GEM Michele Pirovano, Renato Mainetti, Daniele Loiacono
2015	J	`jnl`	XCSF with tile coding in discontinuous action-value landscapes. Evol. Intell. Pier Luca Lanzi, Daniele Loiacono
2014	—	`conf`	Applying data mining to extract design patterns from Unreal Tournament levels. CIG Luca Galli, Pier Luca Lanzi, Daniele Loiacono
2014	—	`conf`	Evolving maps for match balancing in first person shooters. CIG Pier Luca Lanzi, Daniele Loiacono, Riccardo Stucchi
2014	J	`jnl`	Gene I. Sher: Handbook of neuroevolution through Erlang - Springer, 2013, ISBN: 978-1461444626, pp 831, $189. Genet. Program. Evolvable Mach. Daniele Loiacono
2014	J	`jnl`	Special issue on GECCO competitions. Genet. Program. Evolvable Mach. Daniele Loiacono, Moshe Sipper
2013	J	`jnl`	Advanced overtaking behaviors for blocking opponents in racing games using a fuzzy architecture. Expert Syst. Appl. Luigi Cardamone, Pier Luca Lanzi, Daniele Loiacono, Enrique Onieva
2013	—	`conf`	Computational intelligence and games. GECCO (Companion) Daniele Loiacono, Mike Preuss
2013	—	`ch.`	Player Modeling. Artificial and Computational Intelligence in Games Georgios N. Yannakakis, Pieter Spronck, Daniele Loiacono, Elisabeth André
2013	J	`jnl`	Simulated Car Racing Championship: Competition Software Manual CoRR Daniele Loiacono, Luigi Cardamone, Pier Luca Lanzi
2013	—	`conf`	Tuning mobile game design using data mining. IGIC Pier Luca Lanzi, Daniele Loiacono, Emanuele Parini, Federico Sannicoló, Davide Jones, Claudio Scamporlino
2012	—	`conf`	Computational intelligence in games. GECCO (Companion) Daniele Loiacono, Mike Preuß
2012	—	`conf`	Evolving the optimal racing line in a high-end racing game. CIG Matteo Botta, Vincenzo Gautieri, Daniele Loiacono, Pier Luca Lanzi
2012	—	`conf`	Learning, evolution and adaptation in racing games. Conf. Computing Frontiers Daniele Loiacono
2012	J	`jnl`	Special issue on advances in learning classifier systems. Evol. Intell. Daniele Loiacono, Albert Orriols-Puig, Ryan J. Urbanowicz
2011	—	`conf`	A cheating detection framework for Unreal Tournament III: A machine learning approach. CIG Luca Galli, Daniele Loiacono, Luigi Cardamone, Pier Luca Lanzi
2011	J	`jnl`	Automatic Track Generation for High-End Racing Games Using Evolutionary Computation. IEEE Trans. Comput. Intell. AI Games Daniele Loiacono, Luigi Cardamone, Pier Luca Lanzi
2011	—	`conf`	Fast prediction computation in learning classifier systems using CUDA. GECCO (Companion) Daniele Loiacono
2011	A	`conf`	Interactive evolution for the procedural generation of tracks in a high-end racing game. GECCO Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi
2011	—	`conf`	Transfer of driving behaviors across different racing games. CIG Luigi Cardamone, Antonio Caiazzo, Daniele Loiacono, Pier Luca Lanzi
2010	B	`conf`	Applying cooperative coevolution to compete in the 2009 TORCS Endurance World Championship. IEEE Congress on Evolutionary Computation Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi
2010	J	`jnl`	Learning to Drive in the Open Racing Car Simulator Using Online Neuroevolution. IEEE Trans. Comput. Intell. AI Games Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi
2010	B	`conf`	Learning to overtake in TORCS using simple reinforcement learning. IEEE Congress on Evolutionary Computation Daniele Loiacono, Alessandro Prete, Pier Luca Lanzi, Luigi Cardamone
2010	—	`conf`	Overtaking opponents with blocking strategies using fuzzy logic. CIG Enrique Onieva, Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi
2010	—	`conf`	Searching for the optimal racing line using genetic algorithms. CIG Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi, Alessandro Pietro Bardelli
2010	J	`jnl`	The 2009 Simulated Car Racing Championship. IEEE Trans. Comput. Intell. AI Games 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
2009	A	`conf`	Evolving competitive car controllers for racing games with neuroevolution. GECCO Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi
2009	—	`conf`	Learning a context-aware weapon selection policy for Unreal Tournament III. CIG Luca Galli, Daniele Loiacono, Pier Luca Lanzi
2009	—	`conf`	Learning drivers for TORCS through imitation using supervised methods. CIG Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi
2009	B	`conf`	On-line neuroevolution applied to The Open Racing Car Simulator. IEEE Congress on Evolutionary Computation Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi
2009	—	`conf`	Recursive Least Squares and Quadratic Prediction in Continuous Multistep Problems. IWLCS Daniele Loiacono, Pier Luca Lanzi
2009	—	`conf`	Simulated car racing. CIG Daniele Loiacono, Julian Togelius, Pier Luca Lanzi
2009	—	`conf`	Speeding Up Matching in Learning Classifier Systems Using CUDA. IWLCS Pier Luca Lanzi, Daniele Loiacono
2008	—	`conf`	A Multi-objective Genetic Algorithm for Design Space Exploration in High-Level Synthesis. ISVLSI Fabrizio Ferrandi, Pier Luca Lanzi, Daniele Loiacono, Christian Pilato, Donatella Sciuto
2008	A	`conf`	An analysis of matching in learning classifier systems. GECCO Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, Daniele Loiacono
2008	B	`conf`	Computed prediction in binary multistep problems. IEEE Congress on Evolutionary Computation Daniele Loiacono, Pier Luca Lanzi
2008	B	`conf`	Evolving classifier ensembles with voting predictors. IEEE Congress on Evolutionary Computation Pier Luca Lanzi, Daniele Loiacono, Matteo Zanini
2008	B	`conf`	High-level synthesis with multi-objective genetic algorithm: A comparative encoding analysis. IEEE Congress on Evolutionary Computation Christian Pilato, Daniele Loiacono, Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto
2008	—	`conf`	Recursive least squares and quadratic prediction in continuous multistep problems. GECCO (Companion) Daniele Loiacono, Pier Luca Lanzi
2008	—	`conf`	The WCCI 2008 simulated car racing competition. CIG Daniele Loiacono, Julian Togelius, Pier Luca Lanzi, Leonard Kinnaird-Heether, Simon M. Lucas, Matt Simmerson, Diego Perez Liebana, Robert G. Reynolds, Yago Sáez
2008	—	`conf`	Tile Coding Based on Hyperplane Tiles. EWRL Daniele Loiacono, Pier Luca Lanzi
2007	—	`conf`	Analysis and Improvements of the Classifier Error Estimate in XCSF. IWLCS Daniele Loiacono, Jan Drugowitsch, Alwyn Barry, Pier Luca Lanzi
2007	A	`conf`	Classifier systems that compute action mappings. GECCO Pier Luca Lanzi, Daniele Loiacono
2007	—	`conf`	Evolving Classifiers Ensembles with Heterogeneous Predictors. IWLCS Pier Luca Lanzi, Daniele Loiacono, Matteo Zanini
2007	J	`jnl`	Generalization in the XCSF Classifier System: Analysis, Improvement, and Extension. Evol. Comput. Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
2007	B	`conf`	Support vector machines for computing action mappings in learning classifier systems. IEEE Congress on Evolutionary Computation Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi
2007	A	`conf`	Support vector regression for classifier prediction. GECCO Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi
2007	J	`jnl`	Synchronization in Ecological Networks: a Byproduct of Darwinian Evolution? Int. J. Bifurc. Chaos Fabio Dercole, Daniele Loiacono, Sergio Rinaldi
2006	A	`conf`	Classifier prediction based on tile coding. GECCO Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
2006	A	`conf`	Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation. GECCO Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
2006	A	`conf`	Standard and averaging reinforcement learning in XCS. GECCO Pier Luca Lanzi, Daniele Loiacono
2006	B	`conf`	XCSF with Neural Prediction. IEEE Congress on Evolutionary Computation Pier Luca Lanzi, Daniele Loiacono
2005	A	`conf`	Extending XCSF beyond linear approximation. GECCO Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
2005	—	`conf`	Improving generalization in the XCSF classifier system using linear least-squares. GECCO Workshops Daniele Loiacono, Pier Luca Lanzi
2005	B	`conf`	XCS with computed prediction for the learning of Boolean functions. Congress on Evolutionary Computation Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
2005	B	`conf`	XCS with computed prediction in continuous multistep environments. Congress on Evolutionary Computation Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
2005	A	`conf`	XCS with computed prediction in multistep environments. GECCO Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg