Daniele Loiacono

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 39

Top Topics

Magnetic Resonance

Tumor Segmentation

Top Venues

Publications

Leonardo Crespi, Samuele Camnasio, Damiano Dei, Nicola Lambri, Pietro Mancosu, Marta Scorsetti, Daniele Loiacono
Leveraging Multimodal CycleGAN for the Generation of Anatomically Accurate Synthetic CT Scans from MRIs. CoRR (2024)
Ricardo Coimbra Brioso, Damiano Dei, Nicola Lambri, Daniele Loiacono, Pietro Mancosu, Marta Scorsetti
Deep Learning-Based Auto-Segmentation of Planning Target Volume for Total Marrow and Lymph Node Irradiation. CoRR (2024)
Elio Sasso, Daniele Loiacono, Pier Luca Lanzi
A Tool for the Procedural Generation of Shaders Using Interactive Evolutionary Algorithms. GEM (2024)
Leonardo Crespi, Mattia Portanti, Daniele Loiacono
Comparing Adversarial and Supervised Learning for Organs at Risk Segmentation in CT images. CBMS (2023)
Edoardo Giacomello, Pier Luca Lanzi, Daniele Loiacono
An analysis of DOOM level generation using Generative Adversarial Networks. Entertain. Comput. 46 (2023)
Ricardo Coimbra Brioso, Damiano Dei, Ciro Franzese, Nicola Lambri, Daniele Loiacono, Pietro Mancosu, Marta Scorsetti
Segmentation of Planning Target Volume in CT Series for Total Marrow Irradiation Using U-Net. CBMS (2023)
Pier Luca Lanzi, Daniele Loiacono
ChatGPT and Other Large Language Models as Evolutionary Engines for Online Interactive Collaborative Game Design. CoRR (2023)
Leonardo Crespi, Paolo Roncaglioni, Damiano Dei, Ciro Franzese, Nicola Lambri, Daniele Loiacono, Pietro Mancosu, Marta Scorsetti
Ensemble Methods for Multi-Organ Segmentation in CT Series. CoRR (2023)
Elio Sasso, Daniele Loiacono, Pier Luca Lanzi
A Tool for the Procedural Generation of Shaders using Interactive Evolutionary Algorithms. CoRR (2023)
Pier Luca Lanzi, Daniele Loiacono
ChatGPT and Other Large Language Models as Evolutionary Engines for Online Interactive Collaborative Game Design. GECCO (2023)
Leonardo Crespi, Mattia Portanti, Daniele Loiacono
Comparing Adversarial and Supervised Learning for Organs at Risk Segmentation in CT images. CoRR (2023)
Ricardo Coimbra Brioso, Damiano Dei, Ciro Franzese, Nicola Lambri, Daniele Loiacono, Pietro Mancosu, Marta Scorsetti
Segmentation of Planning Target Volume in CT Series for Total Marrow Irradiation Using U-Net. CoRR (2023)
Leonardo Crespi, Paolo Roncaglioni, Damiano Dei, Ciro Franzese, Nicola Lambri, Daniele Loiacono, Pietro Mancosu, Marta Scorsetti
Ensemble Methods for Multi-Organ Segmentation in CT series. CBMS (2023)
Erica Stella, Isabella Agosti, Nicoletta Di Blas, Marco Finazzi, Pier Luca Lanzi, Daniele Loiacono
A virtual reality classroom to teach and explore crystal solid state structures. Multim. Tools Appl. 82 (5) (2023)
Maria Francesca Costabile, Giuseppe Desolda, Giovanni Dimauro, Rosa Lanzilotti, Daniele Loiacono, Maristella Matera, Massimo Zancanaro
A human-centric AI-driven framework for exploring large and complex datasets. CoPDA@AVI (2022)
Leonardo Crespi, Daniele Loiacono, Pierandrea Sartori
Are 3D better than 2D Convolutional Neural Networks for Medical Imaging Semantic Segmentation? IJCNN (2022)
Alper Kanyilmaz, Patricia Raquel Navarro Tichell, Daniele Loiacono
A genetic algorithm tool for conceptual structural design with cost and embodied carbon optimization. Eng. Appl. Artif. Intell. 112 (2022)
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
One Pixel, One Interaction, One Game: An Experiment in Minimalist Game Design. CoRR (2022)
Leonardo Crespi, Daniele Loiacono, Arturo Chiti
Chest X-Rays Image Classification from $\beta{-}$ Variational Autoencoders Latent Features. SSCI (2021)
Edoardo Giacomello, Pier Luca Lanzi, Daniele Loiacono, Luca Nassano
Image Embedding and Model Ensembling for Automated Chest X-Ray Interpretation. IJCNN (2021)
Edoardo Giacomello, Pier Luca Lanzi, Daniele Loiacono, Luca Nassano
Image Embedding and Model Ensembling for Automated Chest X-Ray Interpretation. CoRR (2021)
Leonardo Crespi, Daniele Loiacono, Arturo Chiti
Chest X-Rays Image Classification from beta-Variational Autoencoders Latent Features. CoRR (2021)
Edoardo Giacomello, Michele Cataldo, Daniele Loiacono, Pier Luca Lanzi
Distributed Learning Approaches for Automated Chest X-Ray Diagnosis. CoRR (2021)
Emilio Capo, Daniele Loiacono
Short-Term Trajectory Planning in TORCS using Deep Reinforcement Learning. SSCI (2020)
Umberto Picariello, Daniele Loiacono, Fabio Mosca, Pier Luca Lanzi
A Framework to Create Collaborative Games for Team Building using Procedural Content Generation. SSCI (2020)
Pier Luca Lanzi, Daniele Loiacono
Asking Students to Do All the Work: An Analysis of a Fully Peer-Assessed Course on Game Design and Development. FDG (2020)
Edoardo Giacomello, Daniele Loiacono, Luca T. Mainardi
Brain MRI Tumor Segmentation with Adversarial Networks. IJCNN (2020)
Emanuel Alogna, Edoardo Giacomello, Daniele Loiacono
Brain Magnetic Resonance Imaging Generation using Generative Adversarial Networks. SSCI (2020)
Camilla Colombo, Nicoletta Di Blas, Ioannis Gkolias, Pier Luca Lanzi, Daniele Loiacono, Erica Stella
An Educational Experience to Raise Awareness About Space Debris. IEEE Access 8 (2020)
Edoardo Giacomello, Daniele Loiacono, Luca T. Mainardi
Transfer Brain MRI Tumor Segmentation Models Across Modalities with Adversarial Networks. CoRR (2019)
Daniele Loiacono, Luca Arnaboldi
Multiobjective Evolutionary Map Design for Cube 2: Sauerbraten. IEEE Trans. Games 11 (1) (2019)
Marco Ballabio, Daniele Loiacono
Heuristics for Placing the Spawn Points in Multiplayer First Person Shooters. CoG (2019)
Edoardo Giacomello, Pier Luca Lanzi, Daniele Loiacono
Searching the Latent Space of a Generative Adversarial Network to Generate DOOM Levels. CoG (2019)
Filippo Agalbato, Daniele Loiacono
: A Puzzle Game to Learn Coding. GEM (2018)
Edoardo Giacomello, Pier Luca Lanzi, Daniele Loiacono
DOOM Level Generation using Generative Adversarial Networks. CoRR (2018)
Antonio Umberto Aramini, Pier Luca Lanzi, Daniele Loiacono
An Integrated Framework for AI Assisted Level Design in 2D Platformers. GEM (2018)
Edoardo Giacomello, Pier Luca Lanzi, Daniele Loiacono
DOOM Level Generation Using Generative Adversarial Networks. GEM (2018)
Antonio Umberto Aramini, Pier Luca Lanzi, Daniele Loiacono
An Integrated Framework for AI Assisted Level Design in 2D Platformers. CoRR (2018)
Daniele Loiacono, Luca Arnaboldi
Fight or flight: Evolving maps for cube 2 to foster a fleeing behavior. CIG (2017)
Luigi Cardamone, Pier Luca Lanzi, Daniele Loiacono
TrackGen: An interactive track generator for TORCS and Speed-Dreams. Appl. Soft Comput. 28 (2015)
Daniele Gravina, Daniele Loiacono
Procedural weapons generation for unreal tournament III. GEM (2015)
Michele Pirovano, Renato Mainetti, Daniele Loiacono
Volcano: An interactive sword generator. GEM (2015)
Pier Luca Lanzi, Daniele Loiacono
XCSF with tile coding in discontinuous action-value landscapes. Evol. Intell. 8 (2-3) (2015)
Daniele Loiacono, Moshe Sipper
Special issue on GECCO competitions. Genet. Program. Evolvable Mach. 15 (4) (2014)
Daniele Loiacono
Gene I. Sher: Handbook of neuroevolution through Erlang - Springer, 2013, ISBN: 978-1461444626, pp 831, $189. Genet. Program. Evolvable Mach. 15 (1) (2014)
Pier Luca Lanzi, Daniele Loiacono, Riccardo Stucchi
Evolving maps for match balancing in first person shooters. CIG (2014)
Luca Galli, Pier Luca Lanzi, Daniele Loiacono
Applying data mining to extract design patterns from Unreal Tournament levels. CIG (2014)
Daniele Loiacono, Luigi Cardamone, Pier Luca Lanzi
Simulated Car Racing Championship: Competition Software Manual CoRR (2013)
Pier Luca Lanzi, Daniele Loiacono, Emanuele Parini, Federico Sannicoló, Davide Jones, Claudio Scamporlino
Tuning mobile game design using data mining. IGIC (2013)
Luigi Cardamone, Pier Luca Lanzi, Daniele Loiacono, Enrique Onieva
Advanced overtaking behaviors for blocking opponents in racing games using a fuzzy architecture. Expert Syst. Appl. 40 (16) (2013)
Daniele Loiacono, Mike Preuss
Computational intelligence and games. GECCO (Companion) (2013)
Daniele Loiacono, Mike Preuß
Computational intelligence in games. GECCO (Companion) (2012)
Matteo Botta, Vincenzo Gautieri, Daniele Loiacono, Pier Luca Lanzi
Evolving the optimal racing line in a high-end racing game. CIG (2012)
Daniele Loiacono, Albert Orriols-Puig, Ryan J. Urbanowicz
Special issue on advances in learning classifier systems. Evol. Intell. 5 (2) (2012)
Daniele Loiacono
Learning, evolution and adaptation in racing games. Conf. Computing Frontiers (2012)
Daniele Loiacono
Fast prediction computation in learning classifier systems using CUDA. GECCO (Companion) (2011)
Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi
Interactive evolution for the procedural generation of tracks in a high-end racing game. GECCO (2011)
Luigi Cardamone, Antonio Caiazzo, Daniele Loiacono, Pier Luca Lanzi
Transfer of driving behaviors across different racing games. CIG (2011)
Daniele Loiacono, Luigi Cardamone, Pier Luca Lanzi
Automatic Track Generation for High-End Racing Games Using Evolutionary Computation. IEEE Trans. Comput. Intell. AI Games 3 (3) (2011)
Luca Galli, Daniele Loiacono, Luigi Cardamone, Pier Luca Lanzi
A cheating detection framework for Unreal Tournament III: A machine learning approach. CIG (2011)
Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi, Alessandro Pietro Bardelli
Searching for the optimal racing line using genetic algorithms. CIG (2010)
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
The 2009 Simulated Car Racing Championship. IEEE Trans. Comput. Intell. AI Games 2 (2) (2010)
Daniele Loiacono, Alessandro Prete, Pier Luca Lanzi, Luigi Cardamone
Learning to overtake in TORCS using simple reinforcement learning. IEEE Congress on Evolutionary Computation (2010)
Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi
Applying cooperative coevolution to compete in the 2009 TORCS Endurance World Championship. IEEE Congress on Evolutionary Computation (2010)
Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi
Learning to Drive in the Open Racing Car Simulator Using Online Neuroevolution. IEEE Trans. Comput. Intell. AI Games 2 (3) (2010)
Enrique Onieva, Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi
Overtaking opponents with blocking strategies using fuzzy logic. CIG (2010)
Daniele Loiacono, Pier Luca Lanzi
Recursive Least Squares and Quadratic Prediction in Continuous Multistep Problems. IWLCS (2009)
Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi
On-line neuroevolution applied to The Open Racing Car Simulator. IEEE Congress on Evolutionary Computation (2009)
Pier Luca Lanzi, Daniele Loiacono
Speeding Up Matching in Learning Classifier Systems Using CUDA. IWLCS (2009)
Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi
Evolving competitive car controllers for racing games with neuroevolution. GECCO (2009)
Daniele Loiacono, Julian Togelius, Pier Luca Lanzi
Simulated car racing. CIG (2009)
Luca Galli, Daniele Loiacono, Pier Luca Lanzi
Learning a context-aware weapon selection policy for Unreal Tournament III. CIG (2009)
Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi
Learning drivers for TORCS through imitation using supervised methods. CIG (2009)
Pier Luca Lanzi, Daniele Loiacono, Matteo Zanini
Evolving classifier ensembles with voting predictors. IEEE Congress on Evolutionary Computation (2008)
Christian Pilato, Daniele Loiacono, Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto
High-level synthesis with multi-objective genetic algorithm: A comparative encoding analysis. IEEE Congress on Evolutionary Computation (2008)
Daniele Loiacono, Pier Luca Lanzi
Recursive least squares and quadratic prediction in continuous multistep problems. GECCO (Companion) (2008)
Fabrizio Ferrandi, Pier Luca Lanzi, Daniele Loiacono, Christian Pilato, Donatella Sciuto
A Multi-objective Genetic Algorithm for Design Space Exploration in High-Level Synthesis. ISVLSI (2008)
Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, Daniele Loiacono
An analysis of matching in learning classifier systems. GECCO (2008)
Daniele Loiacono, Julian Togelius, Pier Luca Lanzi, Leonard Kinnaird-Heether, Simon M. Lucas, Matt Simmerson, Diego Perez Liebana, Robert G. Reynolds, Yago Sáez
The WCCI 2008 simulated car racing competition. CIG (2008)
Daniele Loiacono, Pier Luca Lanzi
Computed prediction in binary multistep problems. IEEE Congress on Evolutionary Computation (2008)
Daniele Loiacono, Pier Luca Lanzi
Tile Coding Based on Hyperplane Tiles. EWRL (2008)
Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi
Support vector machines for computing action mappings in learning classifier systems. IEEE Congress on Evolutionary Computation (2007)
Pier Luca Lanzi, Daniele Loiacono
Classifier systems that compute action mappings. GECCO (2007)
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
Generalization in the XCSF Classifier System: Analysis, Improvement, and Extension. Evol. Comput. 15 (2) (2007)
Pier Luca Lanzi, Daniele Loiacono, Matteo Zanini
Evolving Classifiers Ensembles with Heterogeneous Predictors. IWLCS (2007)
Fabio Dercole, Daniele Loiacono, Sergio Rinaldi
Synchronization in Ecological Networks: a Byproduct of Darwinian Evolution? Int. J. Bifurc. Chaos 17 (7) (2007)
Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi
Support vector regression for classifier prediction. GECCO (2007)
Daniele Loiacono, Jan Drugowitsch, Alwyn Barry, Pier Luca Lanzi
Analysis and Improvements of the Classifier Error Estimate in XCSF. IWLCS (2007)
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation. GECCO (2006)
Pier Luca Lanzi, Daniele Loiacono
Standard and averaging reinforcement learning in XCS. GECCO (2006)
Pier Luca Lanzi, Daniele Loiacono
XCSF with Neural Prediction. IEEE Congress on Evolutionary Computation (2006)
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
Classifier prediction based on tile coding. GECCO (2006)
Daniele Loiacono, Pier Luca Lanzi
Improving generalization in the XCSF classifier system using linear least-squares. GECCO Workshops (2005)
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
XCS with computed prediction in multistep environments. GECCO (2005)
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
XCS with computed prediction for the learning of Boolean functions. Congress on Evolutionary Computation (2005)
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
Extending XCSF beyond linear approximation. GECCO (2005)
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
XCS with computed prediction in continuous multistep environments. Congress on Evolutionary Computation (2005)