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2020 – today
- 2024
[j86]Yuriy Perezhohin
, Tiago Santos, Victor Costa, Fernando Peres, Mauro Castelli:
Enhancing Automatic Speech Recognition: Effects of Semantic Audio Filtering on Models Performance. IEEE Access 12: 155136-155150 (2024)- [j85]Yuriy Perezhohin, Fernando Peres, Mauro Castelli:
Combining computational linguistics with sentence embedding to create a zero-shot NLIDB. Array 24: 100368 (2024) - [j84]Francesco Marchetti, Gloria Pietropolli, Federico Julian Camerota Verdù, Mauro Castelli, Edmondo A. Minisci:
Automatic design of interpretable control laws through parametrized Genetic Programming with adjoint state method gradient evaluation. Appl. Soft Comput. 159: 111654 (2024) - [j83]Illya Bakurov, Jose Manuel Muñoz Contreras, Mauro Castelli, Nuno M. Rodrigues, Sara Silva, Leonardo Trujillo, Leonardo Vanneschi:
Geometric semantic genetic programming with normalized and standardized random programs. Genet. Program. Evolvable Mach. 25(1): 6 (2024) - [c63]Francesco Marchetti, Mauro Castelli, Illya Bakurov, Leonardo Vanneschi:
Full Inclusive Genetic Programming. CEC 2024: 1-8 - 2023
- [j82]Frederico J. J. B. Santos, Ivo Gonçalves, Mauro Castelli:
Neuroevolution with box mutation: An adaptive and modular framework for evolving deep neural networks. Appl. Soft Comput. 147: 110767 (2023) - [j81]Illya Bakurov, Marco Buzzelli, Raimondo Schettini, Mauro Castelli, Leonardo Vanneschi:
Semantic segmentation network stacking with genetic programming. Genet. Program. Evolvable Mach. 24(2): 15 (2023) - [j80]Gloria Pietropolli, Luca Manzoni, Alessia Paoletti, Mauro Castelli:
On the hybridization of geometric semantic GP with gradient-based optimizers. Genet. Program. Evolvable Mach. 24(2): 16 (2023) - [j79]Mauro Castelli:
Commentary for the GPEM peer commentary special section on W. B. Langdon's "Jaws 30". Genet. Program. Evolvable Mach. 24(2): 20 (2023) - [j78]Illya Bakurov, Marco Buzzelli, Raimondo Schettini, Mauro Castelli, Leonardo Vanneschi:
Full-Reference Image Quality Expression via Genetic Programming. IEEE Trans. Image Process. 32: 1458-1473 (2023) - [c62]José Ferreira, Mauro Castelli, Luca Manzoni, Gloria Pietropolli:
A Self-Adaptive Approach to Exploit Topological Properties of Different GAs' Crossover Operators. EuroGP 2023: 3-18 - [c61]Gloria Pietropolli, Federico Julian Camerota Verdù, Luca Manzoni, Mauro Castelli:
Parametrizing GP Trees for Better Symbolic Regression Performance through Gradient Descent. GECCO Companion 2023: 619-622 - [i13]Fabio Anselmi, Mauro Castelli, Alberto d'Onofrio, Luca Manzoni, Luca Mariot, Martina Saletta:
Local Search, Semantics, and Genetic Programming: a Global Analysis. CoRR abs/2305.16956 (2023) - 2022
- [j77]Mauro Castelli, Luca Manzoni, Luca Mariot, Marco S. Nobile, Andrea Tangherloni:
Salp Swarm Optimization: A critical review. Expert Syst. Appl. 189: 116029 (2022) - [j76]Illya Bakurov, Marco Buzzelli, Raimondo Schettini, Mauro Castelli, Leonardo Vanneschi:
Structural similarity index (SSIM) revisited: A data-driven approach. Expert Syst. Appl. 189: 116087 (2022) - [j75]Roberto Henriques, Adria Ferreira, Mauro Castelli:
A Use Case of Patent Classification Using Deep Learning with Transfer Learning. J. Data Inf. Sci. 7(3): 49-70 (2022) - [j74]Andronicus Ayobami Akinyelu, Fulvio Zaccagna, James T. Grist, Mauro Castelli, Leonardo Rundo:
Brain Tumor Diagnosis Using Machine Learning, Convolutional Neural Networks, Capsule Neural Networks and Vision Transformers, Applied to MRI: A Survey. J. Imaging 8(8): 205 (2022) - [j73]Andrea Tonini, Marco Painho, Mauro Castelli:
Estimation of Human Body Height Using Consumer-Level UAVs. Remote. Sens. 14(23): 6176 (2022) - [j72]Leonardo Trujillo, Jose Manuel Muñoz Contreras, Daniel E. Hernández, Mauro Castelli, Juan J. Tapia:
GSGP-CUDA - A CUDA framework for Geometric Semantic Genetic Programming. SoftwareX 18: 101085 (2022) - [j71]Illya Bakurov, Mauro Castelli, Francesco Fontanella, Alessandra Scotto di Freca, Leonardo Vanneschi:
A novel binary classification approach based on geometric semantic genetic programming. Swarm Evol. Comput. 69: 101028 (2022) - [c60]Gloria Pietropolli, Luca Manzoni, Alessia Paoletti, Mauro Castelli:
Combining Geometric Semantic GP with Gradient-Descent Optimization. EuroGP 2022: 19-33 - [c59]Illya Bakurov, Marco Buzzelli, Mauro Castelli, Raimondo Schettini, Leonardo Vanneschi:
Genetic programming for structural similarity design at multiple spatial scales. GECCO 2022: 911-919 - [i12]Mauro Castelli, Luca Manzoni, Luca Mariot, Giuliamaria Menara, Gloria Pietropolli:
The Effect of Multi-Generational Selection in Geometric Semantic Genetic Programming. CoRR abs/2205.02598 (2022) - [i11]Gloria Pietropolli, Giuliamaria Menara, Mauro Castelli:
Combining Genetic Programming and Particle Swarm Optimization to Simplify Rugged Landscapes Exploration. CoRR abs/2206.03241 (2022) - 2021
- [j70]Ricardo Costa-Mendes, Tiago Oliveira, Mauro Castelli, Frederico Cruz-Jesus:
A machine learning approximation of the 2015 Portuguese high school student grades: A hybrid approach. Educ. Inf. Technol. 26(2): 1527-1547 (2021) - [j69]Leonardo Vanneschi, Mauro Castelli:
Soft target and functional complexity reduction: A hybrid regularization method for genetic programming. Expert Syst. Appl. 177: 114929 (2021) - [j68]Ibrahem Kandel, Mauro Castelli:
Improving convolutional neural networks performance for image classification using test time augmentation: a case study using MURA dataset. Health Inf. Sci. Syst. 9(1): 33 (2021) - [j67]Ibrahem Kandel, Mauro Castelli, Ales Popovic:
Comparing Stacking Ensemble Techniques to Improve Musculoskeletal Fracture Image Classification. J. Imaging 7(6): 100 (2021) - [j66]Illya Bakurov, Mauro Castelli, Olivier Gau, Francesco Fontanella, Leonardo Vanneschi:
Genetic programming for stacked generalization. Swarm Evol. Comput. 65: 100913 (2021) - [c58]Domagoj Jakobovic, Luca Manzoni, Luca Mariot, Stjepan Picek, Mauro Castelli:
CoInGP: convolutional inpainting with genetic programming. GECCO 2021: 795-803 - [i10]Mauro Castelli, Luca Manzoni, Luca Mariot, Marco S. Nobile, Andrea Tangherloni:
Salp Swarm Optimization: a Critical Review. CoRR abs/2106.01900 (2021) - [i9]Leonardo Trujillo, Jose Manuel Muñoz Contreras, Daniel E. Hernández, Mauro Castelli, Juan J. Tapia:
GSGP-CUDA - a CUDA framework for Geometric Semantic Genetic Programming. CoRR abs/2106.04034 (2021) - 2020
- [j65]Mauro Castelli, Ales Groznik, Ales Popovic:
Forecasting Electricity Prices: A Machine Learning Approach. Algorithms 13(5): 119 (2020) - [j64]Alfredo Raglio, Marcello Imbriani, Chiara Imbriani, Paola Baiardi, Sara Manzoni, Marta Gianotti, Mauro Castelli, Leonardo Vanneschi, Francisco Vico, Luca Manzoni:
Machine learning techniques to predict the effectiveness of music therapy: A randomized controlled trial. Comput. Methods Programs Biomed. 185: 105160 (2020) - [j63]Mauro Castelli, Maria Dobreva, Roberto Henriques, Leonardo Vanneschi:
Predicting Days on Market to Optimize Real Estate Sales Strategy. Complex. 2020: 4603190:1-4603190:22 (2020) - [j62]Mauro Castelli, Fabiana Martins Clemente, Ales Popovic, Sara Silva, Leonardo Vanneschi:
A Machine Learning Approach to Predict Air Quality in California. Complex. 2020: 8049504:1-8049504:23 (2020) - [j61]Daniela Besozzi, Luca Manzoni, Marco S. Nobile, Simone Spolaor, Mauro Castelli, Leonardo Vanneschi, Paolo Cazzaniga, Stefano Ruberto, Leonardo Rundo, Andrea Tangherloni:
Computational Intelligence for Life Sciences. Fundam. Informaticae 171(1-4): 57-80 (2020) - [j60]Andrea De Lorenzo, Alberto Bartoli, Mauro Castelli, Eric Medvet, Bing Xue:
Genetic programming in the twenty-first century: a bibliometric and content-based analysis from both sides of the fence. Genet. Program. Evolvable Mach. 21(1-2): 181-204 (2020) - [j59]Ibrahem Kandel, Mauro Castelli:
The effect of batch size on the generalizability of the convolutional neural networks on a histopathology dataset. ICT Express 6(4): 312-315 (2020) - [j58]Ibrahem Kandel, Mauro Castelli, Ales Popovic:
Comparative Study of First Order Optimizers for Image Classification Using Convolutional Neural Networks on Histopathology Images. J. Imaging 6(9): 92 (2020) - [j57]Ibrahem Kandel, Mauro Castelli, Ales Popovic:
Musculoskeletal Images Classification for Detection of Fractures Using Transfer Learning. J. Imaging 6(11): 127 (2020) - [j56]Andrea Tonini, Paula Redweik, Marco Painho, Mauro Castelli:
Remote Estimation of Target Height from Unmanned Aerial Vehicle (UAV) Images. Remote. Sens. 12(21): 3602 (2020) - [j55]Alberto Bartoli, Mauro Castelli, Eric Medvet:
Weighted Hierarchical Grammatical Evolution. IEEE Trans. Cybern. 50(2): 476-488 (2020) - [j54]Luca Manzoni, Alberto Bartoli, Mauro Castelli, Ivo Gonçalves, Eric Medvet:
Specializing Context-Free Grammars With a (1 + 1)-EA. IEEE Trans. Evol. Comput. 24(5): 960-973 (2020) - [c57]Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Sara Silva, Leonardo Trujillo:
Is k Nearest Neighbours Regression Better Than GP? EuroGP 2020: 244-261 - [c56]Leonardo Lucio Custode, Ciro Lucio Tecce, Illya Bakurov, Mauro Castelli, Antonio Della Cioppa, Leonardo Vanneschi:
A Greedy Iterative Layered Framework for Training Feed Forward Neural Networks. EvoApplications 2020: 513-529 - [c55]Luca Manzoni, Domagoj Jakobovic, Luca Mariot, Stjepan Picek, Mauro Castelli:
Towards an evolutionary-based approach for natural language processing. GECCO 2020: 985-993 - [c54]Mauro Castelli, Riccardo Dondi, Mohammad Mehdi Hosseinzadeh:
Genetic Algorithms for Finding Episodes in Temporal Networks. KES 2020: 215-224 - [c53]Illya Bakurov, Marco Buzzelli, Mauro Castelli, Raimondo Schettini, Leonardo Vanneschi:
Parameters optimization of the Structural Similarity Index. LIM 2020: 19-23 - [i8]Luca Manzoni, Domagoj Jakobovic, Luca Mariot, Stjepan Picek, Mauro Castelli:
Towards an evolutionary-based approach for natural language processing. CoRR abs/2004.13832 (2020)
2010 – 2019
- 2019
- [j53]Petr Hájek, Roberto Henriques, Mauro Castelli, Leonardo Vanneschi:
Forecasting performance of regional innovation systems using semantic-based genetic programming with local search optimizer. Comput. Oper. Res. 106: 179-190 (2019) - [j52]Jonathan Janke, Mauro Castelli, Ales Popovic:
Analysis of the proficiency of fully connected neural networks in the process of classifying digital images. Benchmark of different classification algorithms on high-level image features from convolutional layers. Expert Syst. Appl. 135: 12-38 (2019) - [j51]Luis Muñoz, Leonardo Trujillo, Sara Silva, Mauro Castelli, Leonardo Vanneschi:
Evolving multidimensional transformations for symbolic regression with M3GP. Memetic Comput. 11(2): 111-126 (2019) - [j50]Mauro Castelli, Luca Manzoni:
GSGP-C++ 2.0: A geometric semantic genetic programming framework. SoftwareX 10: 100313 (2019) - [j49]Stefano Ruberto, Leonardo Vanneschi, Mauro Castelli:
Genetic programming with semantic equivalence classes. Swarm Evol. Comput. 44: 453-469 (2019) - [j48]Mauro Castelli, Gianpiero Cattaneo, Luca Manzoni, Leonardo Vanneschi:
A distance between populations for n-points crossover in genetic algorithms. Swarm Evol. Comput. 44: 636-645 (2019) - [j47]Leonardo Vanneschi, Mauro Castelli, Kristen M. Scott, Leonardo Trujillo:
Alignment-based genetic programming for real life applications. Swarm Evol. Comput. 44: 840-851 (2019) - [j46]Mauro Castelli, Riccardo Dondi, Giancarlo Mauri, Italo Zoppis:
Comparing incomplete sequences via longest common subsequence. Theor. Comput. Sci. 796: 272-285 (2019) - [j45]Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez:
Multiobjective Metaheuristic to Design RNA Sequences. IEEE Trans. Evol. Comput. 23(1): 156-169 (2019) - [c52]Mauro Castelli, Luca Manzoni, Luca Mariot, Martina Saletta:
Extending Local Search in Geometric Semantic Genetic Programming. EPIA (1) 2019: 775-787 - [c51]Illya Bakurov, Mauro Castelli, Leonardo Vanneschi, Maria João Freitas:
Supporting Medical Decisions for Treating Rare Diseases Through Genetic Programming. EvoApplications 2019: 187-203 - [c50]Paulo Lapa, Ivo Gonçalves, Leonardo Rundo, Mauro Castelli:
Enhancing classification performance of convolutional neural networks for prostate cancer detection on magnetic resonance images: a study with the semantic learning machine. GECCO (Companion) 2019: 381-382 - [c49]Paulo Lapa, Ivo Gonçalves, Leonardo Rundo, Mauro Castelli:
Semantic learning machine improves the CNN-Based detection of prostate cancer in non-contrast-enhanced MRI. GECCO (Companion) 2019: 1837-1845 - [c48]Ivo Gonçalves, Marta Seca, Mauro Castelli:
Explorations of the Semantic Learning Machine Neuroevolution Algorithm: Dynamic Training Data Use, Ensemble Construction Methods, and Deep Learning Perspectives. GPTP 2019: 39-62 - [c47]Valentina Giansanti, Mauro Castelli, Stefano Beretta, Ivan Merelli:
Comparing Deep and Machine Learning Approaches in Bioinformatics: A miRNA-Target Prediction Case Study. ICCS (3) 2019: 31-44 - [c46]Mauro Castelli, Riccardo Dondi, Sara Manzoni, Giancarlo Mauri, Italo Zoppis:
Top k 2-Clubs in a Network: A Genetic Algorithm. ICCS (5) 2019: 656-663 - [c45]Illya Bakurov, Mauro Castelli, Francesco Fontanella, Leonardo Vanneschi:
A Regression-like Classification System for Geometric Semantic Genetic Programming. IJCCI 2019: 40-48 - [c44]Alessandro Re, Leonardo Vanneschi, Mauro Castelli:
Universal Learning Machine with Genetic Programming. IJCCI 2019: 115-122 - [r3]Mauro Castelli, Leonardo Vanneschi, Álvaro Rubio-Largo:
Supervised Learning: Classification. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 342-349 - [r2]Leonardo Vanneschi, Mauro Castelli:
Multilayer Perceptrons. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 612-620 - [r1]Leonardo Vanneschi, Mauro Castelli:
Delta Rule and Backpropagation. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 621-633 - 2018
- [j44]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) - [j43]Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez:
Multiobjective characteristic-based framework for very-large multiple sequence alignment. Appl. Soft Comput. 69: 719-736 (2018) - [j42]Stefano Beretta, Mauro Castelli, Ivo Gonçalves, Roberto Henriques, Daniele Ramazzotti:
Learning the Structure of Bayesian Networks: A Quantitative Assessment of the Effect of Different Algorithmic Schemes. Complex. 2018: 1591878:1-1591878:12 (2018) - [j41]Stefano Beretta, Mauro Castelli, Luis Muñoz, Leonardo Trujillo, Yuliana Martínez, Ales Popovic, Luciano Milanesi, Ivan Merelli:
A Scalable Genetic Programming Approach to Integrate miRNA-Target Predictions: Comparing Different Parallel Implementations of M3GP. Complex. 2018: 4963139:1-4963139:13 (2018) - [j40]Giuseppe Agapito, Mario Cannataro, Mauro Castelli, Riccardo Dondi, Italo Zoppis:
Editorial of the Special Issue of the 10th Workshop on Biomedical and Bioinformatics Challenges for Computer Science - BBC 2017. Comput. 7(1): 17 (2018) - [j39]Leonardo Vanneschi, David Micha Horn, Mauro Castelli, Ales Popovic:
An artificial intelligence system for predicting customer default in e-commerce. Expert Syst. Appl. 104: 1-21 (2018) - [j38]Eric Medvet, Marco Virgolin, Mauro Castelli, Peter A. N. Bosman, Ivo Gonçalves, Tea Tusar:
Unveiling evolutionary algorithm representation with DU maps. Genet. Program. Evolvable Mach. 19(3): 351-389 (2018) - [j37]Ales Popovic, Ray Hackney, Rana Tassabehji, Mauro Castelli:
The impact of big data analytics on firms' high value business performance. Inf. Syst. Frontiers 20(2): 209-222 (2018) - [j36]Álvaro Rubio-Largo, Mauro Castelli, Leonardo Vanneschi, Miguel A. Vega-Rodríguez:
A Parallel Multiobjective Metaheuristic for Multiple Sequence Alignment. J. Comput. Biol. 25(9): 1009-1022 (2018) - [j35]Stefano Beretta, Mauro Castelli, Ivo Gonçalves, Ivan Kel, Valentina Giansanti, Ivan Merelli:
Improving eQTL Analysis Using a Machine Learning Approach for Data Integration: A Logistic Model Tree Solution. J. Comput. Biol. 25(10): 1091-1105 (2018) - [j34]Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez:
Swarm intelligence for optimizing the parameters of multiple sequence aligners. Swarm Evol. Comput. 42: 16-28 (2018) - [j33]Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez:
A Characteristic-Based Framework for Multiple Sequence Aligners. IEEE Trans. Cybern. 48(1): 41-51 (2018) - [c43]Mauro Castelli, Ivo Gonçalves, Luca Manzoni, Leonardo Vanneschi:
Pruning Techniques for Mixed Ensembles of Genetic Programming Models. EuroGP 2018: 52-67 - [c42]Leonardo Vanneschi, Kristen M. Scott, Mauro Castelli:
A Multiple Expression Alignment Framework for Genetic Programming. EuroGP 2018: 166-183 - [c41]Jan-Benedikt Jagusch, Ivo Gonçalves, Mauro Castelli:
Neuroevolution under unimodal error landscapes: an exploration of the semantic learning machine algorithm. GECCO (Companion) 2018: 159-160 - [c40]Illya Bakurov, Leonardo Vanneschi, Mauro Castelli, Francesco Fontanella:
EDDA-V2 - An Improvement of the Evolutionary Demes Despeciation Algorithm. PPSN (1) 2018: 185-196 - [e5]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] - [i7]Mauro Castelli, Ivo Gonçalves, Luca Manzoni, Leonardo Vanneschi:
Pruning Techniques for Mixed Ensembles of Genetic Programming Models. CoRR abs/1801.07668 (2018) - 2017
- [j32]Josué Enríquez-Zárate, Leonardo Trujillo, Salvador de Lara, Mauro Castelli, Emigdio Z.-Flores, Luis Muñoz, Ales Popovic:
Automatic modeling of a gas turbine using genetic programming: An experimental study. Appl. Soft Comput. 50: 212-222 (2017) - [j31]Mauro Castelli, Luca Manzoni, Leonardo Vanneschi, Ales Popovic:
An expert system for extracting knowledge from customers' reviews: The case of Amazon.com, Inc. Expert Syst. Appl. 84: 117-126 (2017) - [j30]Mauro Castelli, Leonardo Vanneschi, Leonardo Trujillo, Ales Popovic:
Stock index return forecasting: semantics-based genetic programming with local search optimiser. Int. J. Bio Inspired Comput. 10(3): 159-171 (2017) - [j29]Leonardo Vanneschi, Mauro Castelli, Alessandro Re:
Prediction of ships' position by analysing AIS data: an artificial intelligence approach. Int. J. Web Eng. Technol. 12(3): 253-274 (2017) - [j28]Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez:
Using biological knowledge for multiple sequence aligner decision making. Inf. Sci. 420: 278-298 (2017) - [j27]Mauro Castelli, Ivo Gonçalves, Leonardo Trujillo, Ales Popovic:
An evolutionary system for ozone concentration forecasting. Inf. Syst. Frontiers 19(5): 1123-1132 (2017) - [j26]Mauro Castelli, Raul Sormani, Leonardo Trujillo, Ales Popovic:
Predicting per capita violent crimes in urban areas: an artificial intelligence approach. J. Ambient Intell. Humaniz. Comput. 8(1): 29-36 (2017) - [j25]Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez:
Reducing Alignment Time Complexity of Ultra-Large Sets of Sequences. J. Comput. Biol. 24(11): 1144-1154 (2017) - [j24]Mauro Castelli, Luca Manzoni, Sara Silva, Leonardo Vanneschi, Ales Popovic:
The influence of population size in geometric semantic GP. Swarm Evol. Comput. 32: 110-120 (2017) - [j23]Leonardo Vanneschi, Roberto Henriques, Mauro Castelli:
Multi-objective genetic algorithm with variable neighbourhood search for the electoral redistricting problem. Swarm Evol. Comput. 36: 37-51 (2017) - [c39]Leonardo Vanneschi, Illya Bakurov, Mauro Castelli:
An initialization technique for geometric semantic GP based on demes evolution and despeciation. CEC 2017: 113-120 - [c38]Leonardo Vanneschi, Mauro Castelli, Ivo Gonçalves, Luca Manzoni, Sara Silva:
Geometric semantic genetic programming for biomedical applications: A state of the art upgrade. CEC 2017: 177-184 - [c37]Carlos A. Goribar Jiménez, Yazmín Maldonado, Leonardo Trujillo, Mauro Castelli, Ivo Gonçalves, Leonardo Vanneschi:
Towards the development of a complete GP system on an FPGA using geometric semantic operators. CEC 2017: 1932-1939 - [c36]Mauro Castelli, Riccardo Dondi, Giancarlo Mauri, Italo Zoppis:
The Longest Filled Common Subsequence Problem. CPM 2017: 14:1-14:13 - [c35]Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Krzysztof Krawiec, Alberto Moraglio, Sara Silva, Ivo Gonçalves:
PSXO: population-wide semantic crossover. GECCO (Companion) 2017: 257-258 - [c34]Ivo Gonçalves, Sara Silva, Carlos M. Fonseca, Mauro Castelli:
Unsure when to stop?: ask your semantic neighbors. GECCO 2017: 929-936 - [c33]Giuseppe Agapito, Mario Cannataro, Mauro Castelli, Riccardo Dondi, Italo Zoppis:
10th Workshop on Biomedical and Bioinformatics Challenges for Computer Science - BBC2017. ICCS 2017: 1113-1114 - [e4]James McDermott, Mauro Castelli, Lukás Sekanina, Evert Haasdijk, Pablo García-Sánchez:
Genetic Programming - 20th European Conference, EuroGP 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings. Lecture Notes in Computer Science 10196, 2017, ISBN 978-3-319-55695-6 [contents] - [i6]Stefano Beretta, Mauro Castelli, Ivo Gonçalves, Ivan Merelli, Daniele Ramazzotti:
Combining Bayesian Approaches and Evolutionary Techniques for the Inference of Breast Cancer Networks. CoRR abs/1703.03041 (2017) - [i5]Stefano Beretta, Mauro Castelli, Ivo Gonçalves, Daniele Ramazzotti:
A quantitative assessment of the effect of different algorithmic schemes to the task of learning the structure of Bayesian Networks. CoRR abs/1704.08676 (2017) - [i4]Ivo Gonçalves, Sara Silva, Carlos M. Fonseca, Mauro Castelli:
Unsure When to Stop? Ask Your Semantic Neighbors. CoRR abs/1706.06195 (2017) - [i3]Mauro Castelli, Gianpiero Cattaneo, Luca Manzoni, Leonardo Vanneschi:
A Distance Between Populations for n-Points Crossover in Genetic Algorithms. CoRR abs/1707.00451 (2017) - 2016
- [j22]Mauro Castelli, Leonardo Trujillo, Leonardo Vanneschi, Ales Popovic:
Prediction of relative position of CT slices using a computational intelligence system. Appl. Soft Comput. 46: 537-542 (2016) - [j21]Mauro Castelli, Leonardo Vanneschi, Ales Popovic:
Controlling Individuals Growth in Semantic Genetic Programming through Elitist Replacement. Comput. Intell. Neurosci. 2016: 8326760:1-8326760:12 (2016) - [j20]Mauro Castelli, Luca Manzoni, Ales Popovic:
An Artificial Intelligence System to Predict Quality of Service in Banking Organizations. Comput. Intell. Neurosci. 2016: 9139380:1-9139380:7 (2016) - [j19]Mauro Castelli, Luca Manzoni, Leonardo Vanneschi, Sara Silva, Ales Popovic:
Self-tuning geometric semantic Genetic Programming. Genet. Program. Evolvable Mach. 17(1): 55-74 (2016) - [j18]Mauro Castelli, Leonardo Vanneschi, Ales Popovic:
Parameter evaluation of geometric semantic genetic programming in pharmacokinetics. Int. J. Bio Inspired Comput. 8(1): 42-50 (2016) - [j17]Mauro Castelli, Leonardo Vanneschi, Luca Manzoni, Ales Popovic:
Semantic genetic programming for fast and accurate data knowledge discovery. Swarm Evol. Comput. 26: 1-7 (2016) - [j16]Stefano Beretta, Mauro Castelli, Riccardo Dondi:
Parameterized tractability of the maximum-duo preservation string mapping problem. Theor. Comput. Sci. 646: 16-25 (2016) - [j15]Stefano Beretta, Mauro Castelli, Riccardo Dondi:
Corrigendum to "Parameterized tractability of the maximum-duo preservation string mapping problem" [Theoret. Comput. Sci. 646(2016) 16-25]. Theor. Comput. Sci. 653: 108-110 (2016) - [c32]Alessandro Re, Mauro Castelli, Leonardo Vanneschi:
A Comparison Between Representations for Evolving Images. EvoMUSART 2016: 163-185 - [c31]Ivo Gonçalves, Sara Silva, Carlos M. Fonseca, Mauro Castelli:
Arbitrarily Close Alignments in the Error Space: A Geometric Semantic Genetic Programming Approach. GECCO (Companion) 2016: 99-100 - [c30]Leonardo Trujillo, Emigdio Z.-Flores, Perla S. Juárez-Smith, Pierrick Legrand, Sara Silva, Mauro Castelli, Leonardo Vanneschi, Oliver Schütze, Luis Muñoz:
Local Search is Underused in Genetic Programming. GPTP 2016: 119-137 - [c29]Stefano Beretta, Mario Cannataro, Mauro Castelli:
9th Workshop on Biomedical and Bioinformatics Challenges for Computer Science - BBC2016. ICCS 2016: 962-964 - [c28]Mauro Castelli, Luca Manzoni, Ivo Gonçalves, Leonardo Vanneschi, Leonardo Trujillo, Sara Silva:
An Analysis of Geometric Semantic Crossover: A Computational Geometry Approach. IJCCI (ECTA) 2016: 201-208 - [c27]Stefano Beretta, Mauro Castelli, Ivo Gonçalves, Ivan Merelli, Daniele Ramazzotti:
Combining Bayesian Approaches and Evolutionary Techniques for the Inference of Breast Cancer Networks. IJCCI (ECTA) 2016: 217-224 - [c26]Stefano Beretta, Mauro Castelli, Yuliana Martínez, Luis Muñoz, Sara Silva, Leonardo Trujillo, Luciano Milanesi, Ivan Merelli:
A Machine Learning Approach for the Integration of miRNA-Target Predictions. PDP 2016: 528-534 - [e3]Malcolm I. Heywood, James McDermott, Mauro Castelli, Ernesto Costa, Kevin Sim:
Genetic Programming - 19th European Conference, EuroGP 2016, Porto, Portugal, March 30 - April 1, 2016, Proceedings. Lecture Notes in Computer Science 9594, Springer 2016, ISBN 978-3-319-30667-4 [contents] - 2015
- [j14]Mauro Castelli, Leonardo Trujillo, Leonardo Vanneschi:
Energy Consumption Forecasting Using Semantic-Based Genetic Programming with Local Search Optimizer. Comput. Intell. Neurosci. 2015: 971908:1-971908:8 (2015) - [j13]Mauro Castelli, Sara Silva, Leonardo Vanneschi:
A C++ framework for geometric semantic genetic programming. Genet. Program. Evolvable Mach. 16(1): 73-81 (2015) - [j12]Mauro Castelli, Roberto Henriques, Leonardo Vanneschi:
A geometric semantic genetic programming system for the electoral redistricting problem. Neurocomputing 154: 200-207 (2015) - [j11]Stefano Beretta, Mauro Castelli, Riccardo Dondi:
Correcting gene tree by removal and modification: Tractability and approximability. J. Discrete Algorithms 33: 115-129 (2015) - [c25]Mauro Castelli, Matteo De Felice, Luca Manzoni, Leonardo Vanneschi:
Electricity Demand Modelling with Genetic Programming. EPIA 2015: 213-225 - [c24]Leonardo Vanneschi, Mauro Castelli, Ernesto Costa, Alessandro Re, Henrique Vaz, Victor Sousa Lobo, Paulo Urbano:
Improving Maritime Awareness with Semantic Genetic Programming and Linear Scaling: Prediction of Vessels Position Based on AIS Data. EvoApplications 2015: 732-744 - [c23]Mauro Castelli, Leonardo Trujillo, Leonardo Vanneschi, Sara Silva, Emigdio Z.-Flores, Pierrick Legrand:
Geometric Semantic Genetic Programming with Local Search. GECCO 2015: 999-1006 - [c22]Sara Silva, Luis Muñoz, Leonardo Trujillo, Vijay Ingalalli, Mauro Castelli, Leonardo Vanneschi:
Multiclass Classification Through Multidimensional Clustering. GPTP 2015: 219-239 - [e2]Penousal Machado, Malcolm I. Heywood, James McDermott, Mauro Castelli, Pablo García-Sánchez, Paolo Burelli, Sebastian Risi, Kevin Sim:
Genetic Programming - 18th European Conference, EuroGP 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings. Lecture Notes in Computer Science 9025, Springer 2015, ISBN 978-3-319-16500-4 [contents] - [i2]Stefano Beretta, Mauro Castelli, Riccardo Dondi:
Parameterized Tractability of the Maximum-Duo Preservation String Mapping Problem. CoRR abs/1512.03220 (2015) - 2014
- [j10]Mauro Castelli, Leonardo Vanneschi, Sara Silva:
Prediction of the Unified Parkinson's Disease Rating Scale assessment using a genetic programming system with geometric semantic genetic operators. Expert Syst. Appl. 41(10): 4608-4616 (2014) - [j9]Leonardo Vanneschi, Mauro Castelli, Sara Silva:
A survey of semantic methods in genetic programming. Genet. Program. Evolvable Mach. 15(2): 195-214 (2014) - [j8]Mauro Castelli, Sara Silva, Luca Manzoni, Leonardo Vanneschi:
Geometric Selective Harmony Search. Inf. Sci. 279: 468-482 (2014) - [j7]Mauro Castelli, Leonardo Vanneschi:
Genetic algorithm with variable neighborhood search for the optimal allocation of goods in shop shelves. Oper. Res. Lett. 42(5): 355-360 (2014) - [j6]Mauro Castelli, Leonardo Vanneschi, Sara Silva, Alexandros Agapitos, Michael O'Neill:
Semantic Search-Based Genetic Programming and the Effect of Intron Deletion. IEEE Trans. Cybern. 44(1): 103-113 (2014) - [j5]Mauro Castelli, Leonardo Vanneschi, Sara Silva:
Corrections to "Semantic Search Based Genetic Programming and the Effect of Introns Deletion". IEEE Trans. Cybern. 44(4): 565 (2014) - [c21]Vijay Ingalalli, Sara Silva, Mauro Castelli, Leonardo Vanneschi:
A Multi-dimensional Genetic Programming Approach for Multi-class Classification Problems. EuroGP 2014: 48-60 - [c20]Stefano Ruberto, Leonardo Vanneschi, Mauro Castelli, Sara Silva:
ESAGP - A Semantic GP Framework Based on Alignment in the Error Space. EuroGP 2014: 150-161 - [c19]Mauro Castelli, Leonardo Vanneschi, Sara Silva, Stefano Ruberto:
How to Exploit Alignment in the Error Space: Two Different GP Models. GPTP 2014: 133-148 - [c18]Mauro Castelli, Leonardo Vanneschi:
A hybrid Harmony search algorithm with variable neighbourhood search for the bin-packing problem. NaBIC 2014: 1-6 - [e1]Miguel Nicolau, Krzysztof Krawiec, Malcolm I. Heywood, Mauro Castelli, Pablo García-Sánchez, Juan Julián Merelo Guervós, Víctor Manuel Rivas Santos, Kevin Sim:
Genetic Programming - 17th European Conference, EuroGP 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8599, Springer 2014, ISBN 978-3-662-44302-6 [contents] - 2013
- [j4]Mauro Castelli, Leonardo Vanneschi, Sara Silva:
Prediction of high performance concrete strength using Genetic Programming with geometric semantic genetic operators. Expert Syst. Appl. 40(17): 6856-6862 (2013) - [j3]David Robert White, James McDermott, Mauro Castelli, Luca Manzoni, Brian W. Goldman, Gabriel Kronberger, Wojciech Jaskowski, Una-May O'Reilly, Sean Luke:
Better GP benchmarks: community survey results and proposals. Genet. Program. Evolvable Mach. 14(1): 3-29 (2013) - [j2]Luca Manzoni, Mauro Castelli, Leonardo Vanneschi:
A new genetic programming framework based on reaction systems. Genet. Program. Evolvable Mach. 14(4): 457-471 (2013) - [j1]Mauro Castelli, Stefano Beretta, Leonardo Vanneschi:
A hybrid genetic algorithm for the repetition free longest common subsequence problem. Oper. Res. Lett. 41(6): 644-649 (2013) - [c17]Mauro Castelli, Davide Castaldi, Ilaria Giordani, Sara Silva, Leonardo Vanneschi, Francesco Archetti, Daniele Maccagnola:
An Efficient Implementation of Geometric Semantic Genetic Programming for Anticoagulation Level Prediction in Pharmacogenetics. EPIA 2013: 78-89 - [c16]Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Sara Silva:
A New Implementation of Geometric Semantic GP and Its Application to Problems in Pharmacokinetics. EuroGP 2013: 205-216 - [c15]Mauro Castelli, Sara Silva, Leonardo Vanneschi, Ana I. R. Cabral, Maria J. P. de Vasconcelos, Luís Catarino, João Manuel de Brito Carreiras:
Land Cover/Land Use Multiclass Classification Using GP with Geometric Semantic Operators. EvoApplications 2013: 334-343 - [c14]Sara Silva, Vijay Ingalalli, Susana Vinga, João Manuel de Brito Carreiras, Joana B. Melo, Mauro Castelli, Leonardo Vanneschi, Ivo Gonçalves, José Caldas:
Prediction of Forest Aboveground Biomass: An Exercise on Avoiding Overfitting. EvoApplications 2013: 407-417 - [c13]Mauro Castelli, Davide Castaldi, Leonardo Vanneschi, Ilaria Giordani, Francesco Archetti, Daniele Maccagnola:
An efficient implementation of geometric semantic genetic programming for anticoagulation level prediction in pharmacogenetics. GECCO (Companion) 2013: 137-138 - [c12]Leonardo Vanneschi, Sara Silva, Mauro Castelli, Luca Manzoni:
Geometric Semantic Genetic Programming for Real Life Applications. GPTP 2013: 191-209 - 2012
- [c11]Luca Manzoni, Mauro Castelli, Leonardo Vanneschi:
Evolutionary Reaction Systems. EvoBIO 2012: 13-25 - [c10]Mauro Castelli, Luca Manzoni, Leonardo Vanneschi:
Parameter tuning of evolutionary reactions systems. GECCO 2012: 727-734 - [c9]James McDermott, David Robert White, Sean Luke, Luca Manzoni, Mauro Castelli, Leonardo Vanneschi, Wojciech Jaskowski, Krzysztof Krawiec, Robin Harper, Kenneth A. De Jong, Una-May O'Reilly:
Genetic programming needs better benchmarks. GECCO 2012: 791-798 - [i1]Mauro Castelli, Luca Manzoni, Leonardo Vanneschi:
An Efficient Genetic Programming System with Geometric Semantic Operators and its Application to Human Oral Bioavailability Prediction. CoRR abs/1208.2437 (2012) - 2011
- [c8]Mauro Castelli, Luca Manzoni, Leonardo Vanneschi:
A Method to Reuse Old Populations in Genetic Algorithms. EPIA 2011: 138-152 - [c7]Mauro Castelli, Luca Manzoni, Sara Silva, Leonardo Vanneschi:
A Quantitative Study of Learning and Generalization in Genetic Programming. EuroGP 2011: 25-36 - [c6]Mauro Castelli, Luca Manzoni, Leonardo Vanneschi:
The effect of selection from old populations in genetic algorithms. GECCO (Companion) 2011: 161-162 - [c5]Leonardo Vanneschi, Mauro Castelli, Luca Manzoni:
The K landscapes: a tunably difficult benchmark for genetic programming. GECCO 2011: 1467-1474 - [c4]Mauro Castelli, Luca Manzoni, Leonardo Vanneschi:
Multi Objective Genetic Programming for Feature Construction in Classification Problems. LION 2011: 503-506 - 2010
- [c3]Mauro Castelli, Luca Manzoni, Sara Silva, Leonardo Vanneschi:
A comparison of the generalization ability of different genetic programming frameworks. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c2]Leonardo Vanneschi, Mauro Castelli, Simone Bianco, Raimondo Schettini:
Genetic Algorithms for Training Data and Polynomial Optimization in Colorimetric Characterization of Scanners. EvoApplications (1) 2010: 282-291 - [c1]Leonardo Vanneschi, Mauro Castelli, Sara Silva:
Measuring bloat, overfitting and functional complexity in genetic programming. GECCO 2010: 877-884
Coauthor Index
[j83] [c63] [j81] [j78] [j76] [j71] [c59] [j69] [j66] [j64] [j63] [j62] [j61] [c57] [c56] [c53] [j53] [j51] [j49] [j48] [j47] [j45] [c51] [c45] [c44] [r3] [r2] [r1] [j43] [j39] [j36] [j34] [j33] [c43] [c42] [c40] [i7] [j31] [j30] [j29] [j28] [j25] [j24] [j23] [c39] [c38] [c37] [c35] [i3] [j22] [j21] [j19] [j18] [j17] [c32] [c30] [c28] [j14] [j13] [j12] [c25] [c24] [c23] [c22] [j10] [j9] [j8] [j7] [j6] [j5] [c21] [c20] [c19] [c18] [j4] [j2] [j1] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [i1] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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