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ORCIDStefano Cagnoni
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- affiliation: University of Parma
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2020 – today
- 2024
[j46]Gianfranco Lombardo
, Giuseppe Trimigno, Mattia Pellegrino, Stefano Cagnoni:
Language Models Fine-Tuning for Automatic Format Reconstruction of SEC Financial Filings. IEEE Access 12: 31249-31261 (2024)- [j45]Mattia Pellegrino, Gianfranco Lombardo, George Adosoglou, Stefano Cagnoni, Panos M. Pardalos, Agostino Poggi:
A Multi-Head LSTM Architecture for Bankruptcy Prediction with Time Series Accounting Data. Future Internet 16(3): 79 (2024) - [j44]Giulia Magnani, Chiara Giliberti, Davide Errico, Mattia Stighezza, Simone Fortunati, Monica Mattarozzi, Andrea Boni, Valentina Bianchi, Marco Giannetto, Ilaria De Munari, Stefano Cagnoni, Maria Careri:
Evaluation of a Voltametric E-Tongue Combined with Data Preprocessing for Fast and Effective Machine Learning-Based Classification of Tomato Purées by Cultivar. Sensors 24(11): 3586 (2024) - [j43]Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, Giovanni Iacca, John A. W. McCall, David J. Walker:
Introduction to the Special Issue on Explainable AI in Evolutionary Computation. ACM Trans. Evol. Learn. Optim. 4(1): 1:1-1:2 (2024) - [c90]Ying Bi, Stefano Cagnoni, Yanan Sun:
Evolutionary Computation and Evolutionary Deep Learning for Image Analysis, Signal Processing and Pattern Recognition. GECCO Companion 2024: 1231-1260 - [c89]Mattia Stighezza, Giulia Magnani, Valentina Bianchi, Stefano Cagnoni, Andrea Boni, Chiara Giliberti, Davide Errico, Simone Fortunati, Marco Giannetto, Maria Careri, Ilaria De Munari:
Model-Based design of a Machine Learning algorithm for on-site food authenticity testing. MetroInd4.0 & IoT 2024: 43-47 - [e20]Marco Villani, Stefano Cagnoni, Roberto Serra:
Artificial Life and Evolutionary Computation - 17th Italian Workshop, WIVACE 2023, Venice, Italy, September 6-8, 2023, Revised Selected Papers. Communications in Computer and Information Science 1977, Springer 2024, ISBN 978-3-031-57429-0 [contents] - [i4]Ryan Zhou, Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, Martin Fyvie, Giovanni Iacca, John A. W. McCall, Niki van Stein, David Walker, Ting Hu:
Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems. CoRR abs/2406.07811 (2024) - 2023
- [j42]Giulio Biondi, Stefano Cagnoni, Roberto Capobianco, Valentina Franzoni, Francesca A. Lisi, Alfredo Milani, Jordi Vallverdú:
Editorial: Ethical design of artificial intelligence-based systems for decision making. Frontiers Artif. Intell. 6 (2023) - [j41]Ying Bi, Bing Xue, Pablo Mesejo, Stefano Cagnoni, Mengjie Zhang:
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends. IEEE Trans. Evol. Comput. 27(1): 5-25 (2023) - [c88]Mengjie Zhang, Stefano Cagnoni:
Evolutionary Computation and Evolutionary Deep Learning for Image Analysis, Signal Processing and Pattern Recognition. GECCO Companion 2023: 1533-1561 - [c87]Giulia Magnani, Monica Mordonini, Stefano Cagnoni:
Hybrid GP/PSO Representation of 1-D Signals in an Autoencoder Fashion. WIVACE 2023: 228-238 - [c86]Mattia Pellegrino, Gianfranco Lombardo, Monica Mordonini, Stefano Cagnoni, Eleonora Bottani, Valentina Bellini, Elena Giovanna Bignami, Agostino Poggi:
A System for Tracking Patients in the Operating Room - A Pilot Study. WOA 2023: 181-190 - 2022
- [j40]George Adosoglou, Seonho Park, Gianfranco Lombardo, Stefano Cagnoni, Panos M. Pardalos:
Lazy Network: A Word Embedding-Based Temporal Financial Network to Avoid Economic Shocks in Asset Pricing Models. Complex. 2022: 9430919:1-9430919:12 (2022) - [j39]Mattia Pellegrino, Gianfranco Lombardo, Stefano Cagnoni, Agostino Poggi:
High-Performance Computing and ABMS for High-Resolution COVID-19 Spreading Simulation. Future Internet 14(3): 83 (2022) - [j38]Michael Petrolini, Stefano Cagnoni, Monica Mordonini:
Automatic Detection of Sensitive Data Using Transformer- Based Classifiers. Future Internet 14(8): 228 (2022) - [j37]Gianfranco Lombardo, Mattia Pellegrino, George Adosoglou, Stefano Cagnoni, Panos M. Pardalos, Agostino Poggi:
Machine Learning for Bankruptcy Prediction in the American Stock Market: Dataset and Benchmarks. Future Internet 14(8): 244 (2022) - [j36]Gianfranco Lombardo, Mattia Pellegrino, Michele Tomaiuolo, Stefano Cagnoni, Monica Mordonini, Mario Giacobini, Agostino Poggi:
Fine-Grained Agent-Based Modeling to Predict Covid-19 Spreading and Effect of Policies in Large-Scale Scenarios. IEEE J. Biomed. Health Informatics 26(5): 2052-2062 (2022) - [c85]Mengjie Zhang, Stefano Cagnoni:
Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition. GECCO Companion 2022: 1602-1630 - [c84]Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, Giovanni Iacca, John A. W:
McCall, David Walker: The intersection of evolutionary computation and explainable AI. GECCO Companion 2022: 1757-1762 - [i3]Ying Bi, Bing Xue, Pablo Mesejo, Stefano Cagnoni, Mengjie Zhang:
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends. CoRR abs/2209.06399 (2022) - [i2]Gianfranco Lombardo, Stefano Cagnoni, Stefano Cavalli, Juan José Contreras Gonzáles, Francesco Monica, Monica Mordonini, Michele Tomaiuolo:
Anomaly detection in laser-guided vehicles' batteries: a case study. CoRR abs/2212.13513 (2022) - 2021
- [j35]Stefano Cagnoni, Laura Ferrari, Paolo Fornacciari, Monica Mordonini, Laura Sani, Michele Tomaiuolo:
Improving sentiment analysis using preprocessing techniques and lexical patterns. Int. J. Data Anal. Tech. Strateg. 13(3): 171-185 (2021) - [j34]Laura Sani, Michele Amoretti, Stefano Cagnoni, Monica Mordonini, Riccardo Pecori:
ReSS: A tool for discovering relevant sets in complex systems. SoftwareX 14: 100693 (2021) - [c83]Mengjie Zhang, Stefano Cagnoni:
Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition. GECCO Companion 2021: 1169-1198 - [c82]Giuseppe Petrosino, Federico Bergenti, Gianfranco Lombardo, Monica Mordonini, Agostino Poggi, Michele Tomaiuolo, Stefano Cagnoni:
Island model in ActoDatA: an actor-based implementation of a classical distributed evolutionary computation paradigm. GECCO Companion 2021: 1801-1808 - [c81]Mattia Pellegrino, Gianfranco Lombardo, Monica Mordonini, Michele Tomaiuolo, Stefano Cagnoni, Agostino Poggi:
ActoDemic: A Distributed Framework for Fine-Grained Spreading Modeling and Simulation in Large Scale Scenarios. WOA 2021: 194-209 - 2020
- [j33]Stefano Cagnoni, Harith Al-Sahaf, Yanan Sun, Bing Xue, Mengjie Zhang:
Special Issue on Evolutionary Computer Vision, Image Processing and Pattern Recognition. Appl. Soft Comput. 97(Part B): 106675 (2020) - [j32]Michele Tomaiuolo, Gianfranco Lombardo, Monica Mordonini, Stefano Cagnoni, Agostino Poggi:
A Survey on Troll Detection. Future Internet 12(2): 31 (2020) - [j31]Stefano Cagnoni, Lorenzo Cozzini, Gianfranco Lombardo, Monica Mordonini, Agostino Poggi, Michele Tomaiuolo:
Emotion-based analysis of programming languages on Stack Overflow. ICT Express 6(3): 238-242 (2020) - [j30]Federico Magliani, Laura Sani, Stefano Cagnoni, Andrea Prati:
Diffusion Parameters Analysis in a Content-Based Image Retrieval Task for Mobile Vision. Sensors 20(16): 4449 (2020) - [c80]Mengjie Zhang, Stefano Cagnoni:
Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition. GECCO Companion 2020: 1343-1372 - [c79]Stefano Cavalli, Stefano Cagnoni, Gianfranco Lombardo, Agostino Poggi:
Actor-based architecture for Cloud Services Orchestration: the case of social media data extraction. WOA 2020: 174-183
2010 – 2019
- 2019
- [j29]Laura Sani, Riccardo Pecori, Monica Mordonini, Stefano Cagnoni:
From Complex System Analysis to Pattern Recognition: Experimental Assessment of an Unsupervised Feature Extraction Method Based on the Relevance Index Metrics. Comput. 7(3): 39 (2019) - [c78]Mengjie Zhang, Stefano Cagnoni:
Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition. GECCO (Companion) 2019: 1226-1251 - [c77]Federico Magliani, Laura Sani, Stefano Cagnoni, Andrea Prati:
Genetic Algorithms for the Optimization of Diffusion Parameters in Content-Based Image Retrieval. ICDSC 2019: 14:1-14:6 - [c76]Laura Sani, Riccardo Pecori, Paolo Fornacciari, Monica Mordonini, Michele Tomaiuolo, Stefano Cagnoni:
A Relevance Index-Based Method for Improved Detection of Malicious Users in Social Networks. WIVACE 2019: 78-89 - [c75]Paolo Fornacciari, Stefano Cagnoni, Monica Mordonini, Leonardo Tarollo, Michele Tomaiuolo:
Application of Lovheim Model for Emotion Detection in English Tweets. WOA 2019: 149-155 - [e19]Stefano Cagnoni, Monica Mordonini, Riccardo Pecori, Andrea Roli, Marco Villani:
Artificial Life and Evolutionary Computation - 13th Italian Workshop, WIVACE 2018, Parma, Italy, September 10-12, 2018, Revised Selected Papers. Communications in Computer and Information Science 900, Springer 2019, ISBN 978-3-030-21732-7 [contents] - [i1]Federico Magliani, Laura Sani, Stefano Cagnoni, Andrea Prati:
Genetic Algorithms for the Optimization of Diffusion Parameters in Content-Based Image Retrieval. CoRR abs/1908.06896 (2019) - 2018
- [j28]Stefano Cagnoni, Mauro Castelli:
Special Issue on Computational Intelligence and Nature-Inspired Algorithms for Real-World Data Analytics and Pattern Recognition. Algorithms 11(3): 25 (2018) - [j27]Marco Villani, Laura Sani, Riccardo Pecori, Michele Amoretti, Andrea Roli, Monica Mordonini, Roberto Serra, Stefano Cagnoni:
An Iterative Information-Theoretic Approach to the Detection of Structures in Complex Systems. Complex. 2018: 3687839:1-3687839:15 (2018) - [c74]Laura Sani, Gianluca D'Addese, Riccardo Pecori, Monica Mordonini, Marco Villani, Stefano Cagnoni:
An Integration-Based Approach to Pattern Clustering and Classification. AI*IA 2018: 362-374 - [c73]Laura Sani, Gianfranco Lombardo, Riccardo Pecori, Paolo Fornacciari, Monica Mordonini, Stefano Cagnoni:
Social Relevance Index for Studying Communities in a Facebook Group of Patients. EvoApplications 2018: 125-140 - [c72]Laura Sani, Riccardo Pecori, Emilio Vicari, Michele Amoretti, Monica Mordonini, Stefano Cagnoni:
Can the Relevance Index be Used to Evolve Relevant Feature Sets? EvoApplications 2018: 472-479 - [c71]Mengjie Zhang, Stefano Cagnoni:
Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition. GECCO (Companion) 2018: 1221-1257 - [c70]Laura Sani, Alberto Bononi, Riccardo Pecori, Michele Amoretti, Monica Mordonini, Andrea Roli, Marco Villani, Stefano Cagnoni, Roberto Serra:
An Improved Relevance Index Method to Search Important Structures in Complex Systems. WIVACE 2018: 3-16 - [e18]Mauro Castelli, Lukás Sekanina, Mengjie Zhang, Stefano Cagnoni, Pablo García-Sánchez:
Genetic Programming - 21st European Conference, EuroGP 2018, Parma, Italy, April 4-6, 2018, Proceedings. Lecture Notes in Computer Science 10781, Springer 2018, ISBN 978-3-319-77552-4 [contents] - 2017
- [j26]Hamid Hassannejad, Guido Matrella, Paolo Ciampolini, Ilaria De Munari, Monica Mordonini, Stefano Cagnoni:
A New Approach to Image-Based Estimation of Food Volume. Algorithms 10(2): 66 (2017) - [j25]Marco Maratea, Giovanni Adorni, Stefano Cagnoni, Marco Gori:
Special issue: Selected papers from the 15th International Conference of the Italian Association for Artificial Intelligence. Intelligenza Artificiale 11(1): 3-4 (2017) - [c69]Stefano Cagnoni, Paolo Fornacciari, Juxhino Kavaja, Monica Mordonini, Agostino Poggi, Alex Solimeo, Michele Tomaiuolo:
Automatic Creation of a Large and Polished Training Set for Sentiment Analysis on Twitter. MOD 2017: 146-157 - [c68]Marco Villani, Laura Sani, Michele Amoretti, Emilio Vicari, Riccardo Pecori, Monica Mordonini, Stefano Cagnoni, Roberto Serra:
A Relevance Index Method to Infer Global Properties of Biological Networks. WIVACE 2017: 129-141 - [c67]Gianluigi Silvestri, Laura Sani, Michele Amoretti, Riccardo Pecori, Emilio Vicari, Monica Mordonini, Stefano Cagnoni:
Searching Relevant Variable Subsets in Complex Systems Using K-Means PSO. WIVACE 2017: 308-321 - 2016
- [j24]Pablo Mesejo, Óscar Ibáñez, Oscar Cordón, Stefano Cagnoni:
A survey on image segmentation using metaheuristic-based deformable models: state of the art and critical analysis. Appl. Soft Comput. 44: 1-29 (2016) - [j23]Stefano Cagnoni, Mengjie Zhang:
Foreword: special issue on evolutionary computer vision and pattern recognition. Evol. Intell. 9(3): 53-54 (2016) - [c66]Laura Sani, Michele Amoretti, Emilio Vicari, Monica Mordonini, Riccardo Pecori, Andrea Roli, Marco Villani, Stefano Cagnoni, Roberto Serra:
Efficient Search of Relevant Structures in Complex Systems. AI*IA 2016: 35-48 - [c65]Giulio Angiani, Stefano Cagnoni, Natalia Chuzhikova, Paolo Fornacciari, Monica Mordonini, Michele Tomaiuolo:
Flat and Hierarchical Classifiers for Detecting Emotion in Tweets. AI*IA 2016: 51-64 - [c64]Umberto Villano, Stefano Cagnoni, Maria Carla Calzarossa, Antonella Di Stefano, Beniamino Di Martino:
Cloudifier: An Ecosystem for the Migration of Distributed Applications to the Cloud. AINA Workshops 2016: 159-164 - [c63]Stefano Cagnoni, Mengjie Zhang:
Evolutionary computer vision and image processing: Some FAQs, current challenges and future perspectives. CEC 2016: 1267-1271 - [c62]Stephen L. Smith, Stefano Cagnoni, Robert M. Patton:
MedGEC'16 Chairs' Welcome. GECCO (Companion) 2016: 1367 - [c61]Michele Amoretti, Stefano Cagnoni:
Evaluation of Advanced Routing Strategies with Information-Theoretic Complexity Measures. ISCIS 2016: 145-153 - [c60]Hamid Hassannejad, Guido Matrella, Paolo Ciampolini, Ilaria De Munari, Monica Mordonini, Stefano Cagnoni:
Food Image Recognition Using Very Deep Convolutional Networks. MADiMa @ ACM Multimedia 2016: 41-49 - [c59]Emilio Vicari, Michele Amoretti, Laura Sani, Monica Mordonini, Riccardo Pecori, Andrea Roli, Marco Villani, Stefano Cagnoni, Roberto Serra:
GPU-Based Parallel Search of Relevant Variable Sets in Complex Systems. WIVACE 2016: 14-25 - [e17]Giovanni Adorni, Stefano Cagnoni, Marco Gori, Marco Maratea:
AI*IA 2016: Advances in Artificial Intelligence - XVth International Conference of the Italian Association for Artificial Intelligence, Genova, Italy, November 29 - December 1, 2016, Proceedings. Lecture Notes in Computer Science 10037, Springer 2016, ISBN 978-3-319-49129-5 [contents] - 2015
- [j22]Pablo Mesejo, Andrea Valsecchi, Linda Marrakchi-Kacem, Stefano Cagnoni, Sergio Damas:
Biomedical image segmentation using geometric deformable models and metaheuristics. Comput. Medical Imaging Graph. 43: 167-178 (2015) - [j21]Michele Amoretti, Stefano Cagnoni:
Toward Collective Self-Awareness and Self-Expression in Distributed Systems. Computer 48(7): 29-36 (2015) - [j20]Shahid Mehmood, Stefano Cagnoni, Monica Mordonini, Shoab Ahmad Khan:
An embedded architecture for real-time object detection in digital images based on niching particle swarm optimization. J. Real Time Image Process. 10(1): 75-89 (2015) - [c58]Michele Amoretti, Stefano Cagnoni:
Collective Self-Awareness and Self-Expression for Efficient Network Exploration. AI*IA 2015: 3-16 - [c57]Hamid Hassannejad, Guido Matrella, Monica Mordonini, Stefano Cagnoni:
Using Stochastic Optimization to Improve the Detection of Small Checkerboards. AI*IA 2015: 75-86 - [c56]Mengjie Zhang, Stefano Cagnoni:
Evolutionary Image Analysis, Signal Processing and Pattern Recognition. GECCO (Companion) 2015: 473-502 - [c55]Roberto Ugolotti, Stefano Cagnoni:
Automatic Tuning of Standard PSO Versions. GECCO (Companion) 2015: 1501-1502 - [c54]Hamid Hassannejad, Guido Matrella, Monica Mordonini, Stefano Cagnoni:
Using Small Checkerboards as Size Reference: A Model-Based Approach. ICIAP Workshops 2015: 393-400 - [c53]Roberto Ugolotti, Stefano Cagnoni:
A Fair Comparison Between Standard PSO Versions. WIVACE 2015: 3-14 - 2014
- [c52]Andrea Valsecchi, Pablo Mesejo, Linda Marrakchi-Kacem, Stefano Cagnoni, Sergio Damas:
Automatic evolutionary medical image segmentation using deformable models. IEEE Congress on Evolutionary Computation 2014: 97-104 - [c51]Roberto Ugolotti, Giorgio Micconi, Jacopo Aleotti, Stefano Cagnoni:
GPU-Based Point Cloud Recognition Using Evolutionary Algorithms. EvoApplications 2014: 489-500 - [c50]Stefano Cagnoni:
Evolutionary image analysis and signal processing. GECCO (Companion) 2014: 795-818 - [c49]Roberto Ugolotti, Stefano Cagnoni:
Analysis of evolutionary algorithms using multi-objective parameter tuning. GECCO 2014: 1343-1350 - [c48]Roberto Ugolotti, Stefano Cagnoni:
Multi-objective Parameter Tuning for PSO-based Point Cloud Localization. WIVACE 2014: 75-85 - [p2]Stefano Sebastio, Michele Amoretti, Jose Raul Murga, Marco Picone, Stefano Cagnoni:
Honest vs Cheating Bots in PATROL-Based Real-Time Strategy MMOGs. Evolution, Complexity and Artificial Life 2014: 225-238 - [e16]Stefano Cagnoni, Marco Mirolli, Marco Villani:
Evolution, Complexity and Artificial Life. Springer 2014, ISBN 978-3-642-37576-7 [contents] - 2013
- [j19]Roberto Ugolotti, Youssef S. G. Nashed, Pablo Mesejo, Spela Ivekovic, Luca Mussi, Stefano Cagnoni:
Particle Swarm Optimization and Differential Evolution for model-based object detection. Appl. Soft Comput. 13(6): 3092-3105 (2013) - [j18]Roberto Ugolotti, Federico Sassi, Monica Mordonini, Stefano Cagnoni:
Multi-sensor system for detection and classification of human activities. J. Ambient Intell. Humaniz. Comput. 4(1): 27-41 (2013) - [j17]Pablo Mesejo, Roberto Ugolotti, Ferdinando Di Cunto, Mario Giacobini, Stefano Cagnoni:
Automatic hippocampus localization in histological images using Differential Evolution-based deformable models. Pattern Recognit. Lett. 34(3): 299-307 (2013) - [j16]Lara González-Villanueva, Stefano Cagnoni, Luca Ascari:
Design of a Wearable Sensing System for Human Motion Monitoring in Physical Rehabilitation. Sensors 13(6): 7735-7755 (2013) - [c47]Carlos Fernandez-Lozano, José A. Seoane, Pablo Mesejo, Youssef S. G. Nashed, Stefano Cagnoni, Julián Dorado:
2D-PAGE Texture Classification using Support Vector Machines and Genetic Algorithms - An Hybrid Approach for Texture Image Analysis. BIOINFORMATICS 2013: 5-14 - [c46]Carlos Fernandez-Lozano, José A. Seoane, Pablo Mesejo, Youssef S. G. Nashed, Stefano Cagnoni, Julián Dorado:
Texture Classification of Proteins Using Support Vector Machines and Bio-inspired Metaheuristics. BIOSTEC (Selected Papers) 2013: 117-130 - [c45]Roberto Ugolotti, Pablo Mesejo, Youssef S. G. Nashed, Stefano Cagnoni:
GPU-Based Automatic Configuration of Differential Evolution: A Case Study. EPIA 2013: 114-125 - [c44]Roberto Ugolotti, Youssef S. G. Nashed, Pablo Mesejo, Stefano Cagnoni:
Algorithm configuration using GPU-based metaheuristics. GECCO (Companion) 2013: 221-222 - [c43]Roberto Ugolotti, Stefano Cagnoni:
Differential evolution based human body pose estimation from point clouds. GECCO 2013: 1389-1396 - [c42]Pablo Mesejo, Stefano Cagnoni, Alessandro Costalunga, Davide Valeriani:
Segmentation of histological images using a metaheuristic-based level set approach. GECCO (Companion) 2013: 1455-1462 - 2012
- [j15]Luca Mussi, Spela Ivekovic, Youssef S. G. Nashed, Stefano Cagnoni:
Multi-View Human Body Pose Estimation with CUDA-PSO. Int. J. Adapt. Resilient Auton. Syst. 3(4): 51-65 (2012) - [c41]Pablo Mesejo, Roberto Ugolotti, Stefano Cagnoni, Ferdinando Di Cunto, Mario Giacobini:
Automatic segmentation of hippocampus in histological images of mouse brains using deformable models and random forest. CBMS 2012: 1-4 - [c40]Stefano Cagnoni, Alessandro Bacchini, Luca Mussi:
OpenCL Implementation of Particle Swarm Optimization: A Comparison between Multi-core CPU and GPU Performances. EvoApplications 2012: 406-415 - [c39]Youssef S. G. Nashed, Roberto Ugolotti, Pablo Mesejo, Stefano Cagnoni:
libCudaOptimize: an open source library of GPU-based metaheuristics. GECCO (Companion) 2012: 117-124 - [c38]Stefano Cagnoni, Oscar Cordón, Pablo Mesejo, Youssef S. G. Nashed, Roberto Ugolotti:
First results and future developments of the MIBISOC Project in the IBISlab of the university of parma. GECCO (Companion) 2012: 509-516 - [c37]Roberto Ugolotti, Youssef S. G. Nashed, Stefano Cagnoni:
Real-Time GPU Based Road Sign Detection and Classification. PPSN (1) 2012: 153-162 - [c36]Youssef S. G. Nashed, Pablo Mesejo, Roberto Ugolotti, Jérémie Dubois-Lacoste, Stefano Cagnoni:
A Comparative Study of Three GPU-Based Metaheuristics. PPSN (2) 2012: 398-407 - [e15]Cecilia Di Chio, Alexandros Agapitos, Stefano Cagnoni, Carlos Cotta, Francisco Fernández de Vega, Gianni A. Di Caro, Rolf Drechsler, Anikó Ekárt, Anna Isabel Esparcia-Alcázar, Muddassar Farooq, William B. Langdon, Juan Julián Merelo Guervós, Mike Preuss, Hendrik Richter, Sara Silva, Anabela Simões, Giovanni Squillero, Ernesto Tarantino, Andrea Tettamanzi, Julian Togelius, Neil Urquhart, Sima Uyar, Georgios N. Yannakakis:
Applications of Evolutionary Computation - EvoApplications 2012: EvoCOMNET, EvoCOMPLEX, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoNUM, EvoPAR, EvoRISK, EvoSTIM, and EvoSTOC, Málaga, Spain, April 11-13, 2012, Proceedings. Lecture Notes in Computer Science 7248, Springer 2012, ISBN 978-3-642-29177-7 [contents] - 2011
- [j14]Leonardo Vanneschi, Luca Mussi, Stefano Cagnoni:
Hot topics in Evolutionary Computation. Intelligenza Artificiale 5(1): 5-17 (2011) - [j13]Luca Mussi, Fabio Daolio, Stefano Cagnoni:
Evaluation of parallel particle swarm optimization algorithms within the CUDA™ architecture. Inf. Sci. 181(20): 4642-4657 (2011) - [c35]Roberto Ugolotti, Pablo Mesejo, Stefano Cagnoni, Mario Giacobini, Ferdinando Di Cunto:
Automatic hippocampus localization in histological images using PSO-based deformable models. GECCO (Companion) 2011: 487-494 - [c34]Luca Mussi, Youssef S. G. Nashed, Stefano Cagnoni:
GPU-based asynchronous particle swarm optimization. GECCO 2011: 1555-1562 - [p1]Stefano Cagnoni, Leonardo Vanneschi:
Evolutionary Computation: A Brief Overview. Genetic and Evolutionary Computation: Medical Applications 2011 - [e14]Stephen L. Smith, Stefano Cagnoni:
Genetic and Evolutionary Computation: Medical Applications. Wiley 2011, ISBN 978-1-1199-5678-5 [contents] - [e13]Cecilia Di Chio, Stefano Cagnoni, Carlos Cotta, Marc Ebner, Anikó Ekárt, Anna Esparcia-Alcázar, Juan Julián Merelo Guervós, Ferrante Neri, Mike Preuss, Hendrik Richter, Julian Togelius, Georgios N. Yannakakis:
Applications of Evolutionary Computation - EvoApplications 2011: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, Torino, Italy, April 27-29, 2011, Proceedings, Part I. Lecture Notes in Computer Science 6624, Springer 2011, ISBN 978-3-642-20524-8 [contents] - 2010
- [j12]Luca Mussi, Stefano Cagnoni, Elena Cardarelli, Fabio Daolio, Paolo Medici, Pier Paolo Porta:
GPU implementation of a road sign detector based on particle swarm optimization. Evol. Intell. 3(3-4): 155-169 (2010) - [c33]Luca Mussi,