Daniele Loiacono

发表

Brain MRI Tumor Segmentation with Adversarial Networks

Edoardo Giacomello, Daniele Loiacono, Luca Mainardi, 2019, 2020 International Joint Conference on Neural Networks (IJCNN).

Procedural weapons generation for unreal tournament III

Daniele Loiacono, Daniele Gravina, 2015, 2015 IEEE Games Entertainment Media Conference (GEM).

Advanced overtaking behaviors for blocking opponents in racing games using a fuzzy architecture

Daniele Loiacono, Pier Luca Lanzi, Luigi Cardamone, 2013, Expert Syst. Appl..

Learning to overtake in TORCS using simple reinforcement learning

Daniele Loiacono, Pier Luca Lanzi, Luigi Cardamone, 2010, IEEE Congress on Evolutionary Computation.

Computational intelligence in games

Daniele Loiacono, Mike Preuss, M. Preuss, 2012, GECCO '12.

The WCCI 2008 simulated car racing competition

Julian Togelius, Simon M. Lucas, Robert G. Reynolds, 2008, 2008 IEEE Symposium On Computational Intelligence and Games.

Competitions @ WCCI-2008: simulated car racing competition

Julian Togelius, Daniele Loiacono, 2007, SEVO.

Transfer Brain MRI Tumor Segmentation Models Across Modalities with Adversarial Networks pdf

Edoardo Giacomello, Daniele Loiacono, Luca Mainardi, 2019, ArXiv.

Tile Coding Based on Hyperplane Tiles

Daniele Loiacono, Pier Luca Lanzi, 2008, EWRL.

An analysis of the 2014 RecSys Challenge

Daniele Loiacono, Roberto Turrin, Andreas Lommatzsch, 2014, RecSysChallenge '14.

XCS with computed prediction in continuous multistep environments

Daniele Loiacono, David E. Goldberg, Stewart W. Wilson, 2005, 2005 IEEE Congress on Evolutionary Computation.

TrackGen: An interactive track generator for TORCS and Speed-Dreams

Daniele Loiacono, Pier Luca Lanzi, Luigi Cardamone, 2015, Appl. Soft Comput..

Support vector machines for computing action mappings in learning classifier systems

Daniele Loiacono, Pier Luca Lanzi, Andrea Marelli, 2007, 2007 IEEE Congress on Evolutionary Computation.

XCS with computed prediction for the learning of Boolean functions

Daniele Loiacono, David E. Goldberg, Stewart W. Wilson, 2005, 2005 IEEE Congress on Evolutionary Computation.

Recursive least squares and quadratic prediction in continuous multistep problems

Daniele Loiacono, Pier Luca Lanzi, D. Loiacono, 2008, GECCO '08.

Searching the Latent Space of a Generative Adversarial Network to Generate DOOM Levels

Edoardo Giacomello, Daniele Loiacono, Pier Luca Lanzi, 2019, 2019 IEEE Conference on Games (CoG).

Special issue on GECCO competitions

Daniele Loiacono, Moshe Sipper, 2014, Genetic Programming and Evolvable Machines.

Synchronization in Ecological Networks: a Byproduct of Darwinian Evolution?

Daniele Loiacono, Fabio Dercole, Sergio Rinaldi, 2007, Int. J. Bifurc. Chaos.

High-level synthesis with multi-objective genetic algorithm: A comparative encoding analysis

Daniele Loiacono, Pier Luca Lanzi, Fabrizio Ferrandi, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Robo3: A Puzzle Game to Learn Coding

Daniele Loiacono, Filippo Agalbato, D. Loiacono, 2018, 2018 IEEE Games, Entertainment, Media Conference (GEM).

The 2009 Simulated Car Racing Championship

Julian Togelius, Martin V. Butz, Daniele Loiacono, 2010, IEEE Transactions on Computational Intelligence and AI in Games.

Evolving classifier ensembles with voting predictors

Daniele Loiacono, Pier Luca Lanzi, Matteo Zanini, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Learning, evolution and adaptation in racing games

Daniele Loiacono, 2012, CF '12.

Gene I. Sher: Handbook of neuroevolution through Erlang

Daniele Loiacono, 2013, Genetic Programming and Evolvable Machines.

On-line and Off-line Learning of Driving Tasks for The Open Racing Car Simulator (TORCS) Using Neuroevolution

Daniele Loiacono, Pier Luca Lanzi, D. Loiacono, 2008 .

Player Modeling

Daniele Loiacono, Georgios N. Yannakakis, Elisabeth André, 2013, Artificial and Computational Intelligence in Games.

Simulated car racing

Julian Togelius, Daniele Loiacono, Pier Luca Lanzi, 2009, 2009 IEEE Symposium on Computational Intelligence and Games.

A cheating detection framework for Unreal Tournament III: A machine learning approach

Daniele Loiacono, Pier Luca Lanzi, Luigi Cardamone, 2011, 2011 IEEE Conference on Computational Intelligence and Games (CIG'11).

Overtaking opponents with blocking strategies using fuzzy logic

Daniele Loiacono, Pier Luca Lanzi, Luigi Cardamone, 2010, Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games.

Multiobjective Evolutionary Map Design for Cube 2: Sauerbraten

Daniele Loiacono, Luca Arnaboldi, D. Loiacono, 2019, IEEE Transactions on Games.

DOOM Level Generation Using Generative Adversarial Networks

Edoardo Giacomello, Daniele Loiacono, Pier Luca Lanzi, 2018, 2018 IEEE Games, Entertainment, Media Conference (GEM).

Support vector regression for classifier prediction

Daniele Loiacono, Pier Luca Lanzi, Andrea Marelli, 2007, GECCO '07.

Automatic Track Generation for High-End Racing Games Using Evolutionary Computation

Daniele Loiacono, Pier Luca Lanzi, Luigi Cardamone, 2011, IEEE Transactions on Computational Intelligence and AI in Games.

Classifier prediction based on tile coding

Daniele Loiacono, David E. Goldberg, Stewart W. Wilson, 2006, GECCO '06.

Learning to Drive in the Open Racing Car Simulator Using Online Neuroevolution

Daniele Loiacono, Pier Luca Lanzi, Luigi Cardamone, 2010, IEEE Transactions on Computational Intelligence and AI in Games.

Applying cooperative coevolution to compete in the 2009 TORCS Endurance World Championship

Daniele Loiacono, Pier Luca Lanzi, Luigi Cardamone, 2010, IEEE Congress on Evolutionary Computation.

Evolving the optimal racing line in a high-end racing game

Daniele Loiacono, Pier Luca Lanzi, Matteo Botta, 2012, 2012 IEEE Conference on Computational Intelligence and Games (CIG).

GECCO-2013 competitions

Daniele Loiacono, 2014, SEVO.

Evolving maps for match balancing in first person shooters

Daniele Loiacono, Pier Luca Lanzi, Riccardo Stucchi, 2014, 2014 IEEE Conference on Computational Intelligence and Games.

An analysis of matching in learning classifier systems

Martin V. Butz, Daniele Loiacono, Xavier Llorà, 2008, GECCO '08.

Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation

Daniele Loiacono, David E. Goldberg, Stewart W. Wilson, 2006, GECCO '06.

XCSF with Neural Prediction

Daniele Loiacono, Pier Luca Lanzi, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Introduzione alla programmazione in Matlab

Daniele Loiacono, Alessandro Campi, Paola Spoletini, 2011 .

Speeding-Up Expensive Evaluations in High-Level Synthesis Using Solution Modeling and Fitness Inheritance

Daniele Loiacono, Pier Luca Lanzi, Antonino Tumeo, 2010 .

Recursive least squares and quadratic prediction in continuous multistep problems

Daniele Loiacono, Pier Luca Lanzi, 2008, GECCO '08.

Tuning mobile game design using data mining

Daniele Loiacono, Pier Luca Lanzi, Emanuele Parini, 2013, 2013 IEEE International Games Innovation Conference (IGIC).

Heuristics for Placing the Spawn Points in Multiplayer First Person Shooters

Daniele Loiacono, Marco Ballabio, 2019, 2019 IEEE Conference on Games (CoG).

Evolving Classifiers Ensembles with Heterogeneous Predictors

Daniele Loiacono, Pier Luca Lanzi, Matteo Zanini, 2008, IWLCS.

XCSF with tile coding in discontinuous action-value landscapes

Daniele Loiacono, Pier Luca Lanzi, 2015, Evol. Intell..

Speeding Up Matching in Learning Classifier Systems Using CUDA

Daniele Loiacono, Pier Luca Lanzi, 2009, IWLCS.

An Integrated Framework for AI Assisted Level Design in 2D Platformers

Daniele Loiacono, Pier Luca Lanzi, Antonio Umberto Aramini, 2018, 2018 IEEE Games, Entertainment, Media Conference (GEM).

Computed prediction in binary multistep problems

Daniele Loiacono, Pier Luca Lanzi, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Extending XCSF beyond linear approximation

Daniele Loiacono, David E. Goldberg, Stewart W. Wilson, 2005, GECCO '05.

Learning drivers for TORCS through imitation using supervised methods

Daniele Loiacono, Pier Luca Lanzi, Luigi Cardamone, 2009, 2009 IEEE Symposium on Computational Intelligence and Games.

Interactive evolution for the procedural generation of tracks in a high-end racing game

Daniele Loiacono, Pier Luca Lanzi, Luigi Cardamone, 2011, GECCO '11.

Applying data mining to extract design patterns from Unreal Tournament levels

Daniele Loiacono, Pier Luca Lanzi, Luca Galli, 2014, 2014 IEEE Conference on Computational Intelligence and Games.

Volcano: An interactive sword generator

Daniele Loiacono, Renato Mainetti, Michele Pirovano, 2015, 2015 IEEE Games Entertainment Media Conference (GEM).

Special issue on advances in learning classifier systems

Daniele Loiacono, Ryan J. Urbanowicz, Albert Orriols-Puig, 2012, Evol. Intell..

XCS with computed prediction in multistep environments

Daniele Loiacono, David E. Goldberg, Stewart W. Wilson, 2005, GECCO '05.

A Multi-objective Genetic Algorithm for Design Space Exploration in High-Level Synthesis

Daniele Loiacono, Pier Luca Lanzi, Fabrizio Ferrandi, 2008, 2008 IEEE Computer Society Annual Symposium on VLSI.

Classifier systems that compute action mappings

Daniele Loiacono, Pier Luca Lanzi, D. Loiacono, 2007, GECCO '07.

Analysis and Improvements of the Classifier Error Estimate in XCSF

Daniele Loiacono, Pier Luca Lanzi, Jan Drugowitsch, 2007, IWLCS.

Generalization in the XCSF Classifier System: Analysis, Improvement, and Extension

Daniele Loiacono, David E. Goldberg, Stewart W. Wilson, 2007, Evolutionary Computation.

On-line neuroevolution applied to The Open Racing Car Simulator

Daniele Loiacono, Pier Luca Lanzi, Luigi Cardamone, 2009, 2009 IEEE Congress on Evolutionary Computation.

Standard and averaging reinforcement learning in XCS

Daniele Loiacono, Pier Luca Lanzi, 2006, GECCO '06.

Session details: 15th international workshop on learning classifier systems (ICWLS)

Daniele Loiacono, Ryan Urbanowicz, Alberto Orriols-Puig, 2012, GECCO '12.

Searching for the optimal racing line using genetic algorithms

Daniele Loiacono, Pier Luca Lanzi, Luigi Cardamone, 2010, Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games.

Evolving competitive car controllers for racing games with neuroevolution

Daniele Loiacono, Pier Luca Lanzi, Luigi Cardamone, 2009, GECCO '09.

Transfer of driving behaviors across different racing games

Daniele Loiacono, Pier Luca Lanzi, Luigi Cardamone, 2011, 2011 IEEE Conference on Computational Intelligence and Games (CIG'11).

Fight or flight: Evolving maps for cube 2 to foster a fleeing behavior

Daniele Loiacono, Luca Arnaboldi, D. Loiacono, 2017, 2017 IEEE Conference on Computational Intelligence and Games (CIG).

Fast prediction computation in learning classifier systems using CUDA

Daniele Loiacono, 2011, GECCO '11.

Simulated Car Racing Championship: Competition Software Manual pdf

Daniele Loiacono, Pier Luca Lanzi, Luigi Cardamone, 2013, ArXiv.

Improving generalization in the XCSF classifier system using linear least-squares

Daniele Loiacono, Pier Luca Lanzi, D. Loiacono, 2005, GECCO '05.

Learning a context-aware weapon selection policy for Unreal Tournament III

Daniele Loiacono, Pier Luca Lanzi, Luca Galli, 2009, 2009 IEEE Symposium on Computational Intelligence and Games.

in First Person Shooters

Daniele Loiacono, Pier Luca Lanzi, Riccardo Stucchi, 2014 .

Image Embedding and Model Ensembling for Automated Chest X-Ray Interpretation

Edoardo Giacomello, Daniele Loiacono, Pier Luca Lanzi, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Distributed Learning Approaches for Automated Chest X-Ray Diagnosis pdf

Edoardo Giacomello, Daniele Loiacono, Pier Luca Lanzi, 2021, ArXiv.

Chest X-Rays Image Classification from $\beta{-}$ Variational Autoencoders Latent Features

Daniele Loiacono, Arturo Chiti, Leonardo Crespi, 2021, 2021 IEEE Symposium Series on Computational Intelligence (SSCI).

XCSLib : The XCS Classifier System Library

Daniele Loiacono, Pier Luca Lanzi, 2008 .

Evolving Neural Networks for Classifier Prediction with XCSF

Daniele Loiacono, Pier Luca Lanzi, 2006 .

Improving Classifier Error Estimate in XCSF

Daniele Loiacono, Pier Luca Lanzi, Jan Drugowitsch, 2007 .