糖心Vlog

Poli, R. and Yilmaz, A., (2023). Incorrect Application of Yilmaz鈥揚oli (2022) Initialisation Method in dePater鈥揗itici 2023 paper entitled 鈥淎 mathematical framework for improved weight initialization of neural networks using Lagrange multipliers鈥�. Neural Networks. 168, 57-58

Carli, V., Petros, NG., Hadlaczky, G., Vitcheva, T., Berchialla, P., Bianchi, S., Carletto, S., Christinaki, E., Citi, L., Dinis, S., Gentili, C., Geraldes, V., Giovinazzo, L., Gonzalez-Martinez, S., Meyer, B., Ostacoli, L., Ottaviano, M., Ouakinin, S., Papastylianou, T., Paradiso, R., Poli, R., Rocha, I., Settanta, C., Scilingo, EP. and Valenza, G., (2022). . eClinicalMedicine. 48, 101423-101423

Tremmel, C., Fernandez-Vargas, J., Stamos, D., Cinel, C., Pontil, M., Citi, L. and Poli, R., (2022). . Journal of Neural Engineering. 19 (4), 046009-046009

Cinel, C., Fernandez Vargas, J., Tremmel, C., Citi, L. and Poli, R., (2022). . PLoS One. 17 (8), e0272320-e0272320

Yilmaz, A. and Poli, R., (2022). . Neural Networks. 153, 87-103

Ryb谩艡, M., Poli, R. and Daly, I., (2021). . Journal of Neural Engineering. 18 (4), 046035-046035

Bhattacharyya, S., Valeriani, D., Cinel, C., Citi, L. and Poli, R., (2021). . Scientific Reports. 11 (1), 17008-

Fernandez-Vargas, J., Tremmel, C., Valeriani, D., Bhattacharyya, S., Cinel, C., Citi, L. and Poli, R., (2021). . Journal of Neural Engineering. 18 (4), 046055-046055

Valeriani, D., Ayaz, H., Kosmyna, N., Poli, R. and Maes, P., (2021). . Frontiers in Neuroscience. 15, 789868-

Carli, V., Wasserman, D., Hadlaczky, G., Petros, NG., Carletto, S., Citi, L., Dinis, S., Gentili, C., Gonzalez-Martinez, S., De Leonibus, A., Meyer, B., Ostacoli, L., Ottaviano, M., Ouakinin, S., Paradiso, R., Poli, R., Rocha, I., Settanta, C., Waldmeyer, MTA., Valenza, G. and Scilingo, EP., (2020). . BMC Psychiatry. 20 (1), 93-

Christinaki, E., Papastylianou, T., Carletto, S., Gonzalez-Martinez, S., Ostacoli, L., Ottaviano, M., Poli, R. and Citi, L., (2020). . EAI Endorsed Transactions on Bioengineering and Bioinformatics. 1 (1), 166661-166661

Cinel, C., Valeriani, D. and Poli, R., (2019). . Frontiers in Human Neuroscience. 13 (13), 13-

Valeriani, D., Cinel, C. and Poli, R., (2019). . Brain Sciences. 9 (2), 22-22

Valeriani, D. and Poli, R., (2019). . PLoS ONE. 14 (3), e0212935-e0212935

Valeriani, D. and Poli, R., (2019). Correction: Cyborg groups enhance face recognition in crowded environments. PLOS ONE. 14 (3), e0214557-e0214557

Matran-Fernandez, A., Rodriguez Martinez, IJ., Poli, R., Cipriani, C. and Citi, L., (2019). . Scientific Data. 6 (1), 186-

Matran-Fernandez, A. and Poli, R., (2017). . PLoS ONE. 12 (5), e0178498-e0178498

Matran-Fernandez, A. and Poli, R., (2017). . IEEE Transactions on Biomedical Engineering. 64 (4), 959-969

Valeriani, D., Poli, R. and Cinel, C., (2017). . IEEE Transactions on Biomedical Engineering. 64 (6), 1238-1248

Valeriani, D., Cinel, C. and Poli, R., (2017). . Scientific Reports. 7 (1), 7772-

Koohestani, B. and Poli, R., (2015). . Computational Optimization and Applications. 60 (3), 789-814

Turkey, M. and Poli, R., (2014). . Evolutionary Computation. 22 (1), 159-188

Koohestani, B. and Poli, R., (2014). . IEEE Transactions on Evolutionary Computation. 18 (4), 543-558

Poli, R., Valeriani, D. and Cinel, C., (2014). . PLoS ONE. 9 (7), e102693-e102693

Graff, M., Poli, R. and Flores, JJ., (2013). Models of Performance of Evolutionary Program Induction Algorithms Based on Indicators of Problem Difficulty. Evolutionary Computation. 21 (4), 533-560

Salvaris, M., Cinel, C., Citi, L. and Poli, R., (2012). . IEEE Transactions on Neural Systems and Rehabilitation Engineering. 20 (1), 8-17

Poli, R., Salvaris, M. and Cinel, C., (2012). A genetic programming approach to the evolution of brain鈥揷omputer interfaces for 2-D mouse鈥損ointer control. Genetic Programming and Evolvable Machines. 13 (3), 377-405

Poli, R. and Galvan-Lopez, E., (2012). . IEEE Transactions on Evolutionary Computation. 16 (2), 279-300

Kattan, A. and Poli, R., (2011). Evolution of human-competitive lossless compression algorithms with GP-zip2. Genetic Programming and Evolvable Machines. 12 (4), 335-364

Poli, R. and Salvaris, M., (2011). Comment on 鈥楩ast attainment of computer cursor control with noninvasively acquired brain signals鈥�. Journal of Neural Engineering. 8 (5), 058001-058001

Galv谩n-L贸pez, E., Poli, R., Kattan, A., O鈥橬eill, M. and Brabazon, A., (2011). Neutrality in evolutionary algorithms鈥� What do we know?. Evolving Systems. 2 (3), 145-163

Salvaris, M., Cinel, C., Poli, R., Citi, L. and Sepulveda, F., (2010). . 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology. 2010, 4189-4192

Poli, R., Citi, L., Salvaris, M., Cinel, C. and Sepulveda, F., (2010). . Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE. 2010, 6011-6014

Poli, R., Cinel, C., Citi, L. and Sepulveda, F., (2010). . Psychophysiology. 47 (3), 467-485

Citi, L., Poli, R. and Cinel, C., (2010). . Journal of Neural Engineering. 7 (5), creators-Citi=3ALuca=3A=3A

Graff, M. and Poli, R., (2010). . Artificial Intelligence. 174 (15), 1254-1276

Poli, R., Vanneschi, L., Langdon, WB. and McPhee, NF., (2010). Theoretical results in genetic programming: the next ten years?. Genetic Programming and Evolvable Machines. 11 (3-4), 285-320

Bonabeau, E., Corne, D., Knowles, J. and Poli, R., (2010). Swarm intelligence theory: A snapshot of the state of the art. Theoretical Computer Science. 411 (21), 2081-2083

Bonabeau, E., Corne, D. and Poli, R., (2010). Swarm intelligence: the state of the art special issue of natural computing. Natural Computing. 9 (3), 655-657

Miller, JF. and Poli, R., (2010). Editorial to tenth anniversary issue on progress in genetic programming and evolvable machines. Genetic Programming and Evolvable Machines. 11 (3-4), 247-250

Poli, R., Citi, L., Sepulveda, F. and Cinel, C., (2009). . IEEE Computational Intelligence Magazine. 4 (4), 27-31

Poli, R., (2009). . IEEE Transactions on Evolutionary Computation. 13 (4), 712-721

Menon, C., de Negueruela, C., Mill谩n, JDR., Tonet, O., Carpi, F., Broschart, M., Ferrez, P., Buttfield, A., Tecchio, F., Sepulveda, F., Citi, L., Laschi, C., Tombini, M., Dario, P., Maria Rossini, P. and De Rossi, D., (2009). . Acta Astronautica. 64 (4), 448-456

Poli, R., Engelbrecht, A. and Kennedy, J., (2009). Editorial for the special issue on Particle Swarm Optimization. Swarm Intelligence. 3 (4), 243-244

Bader-El-Den, M., Poli, R. and Fatima, S., (2009). Evolving timetabling heuristics using a grammar-based genetic programming hyper-heuristic framework. Memetic Computing. 1 (3), 205-219

Poli, R., McPhee, NF., Citi, L. and Crane, E., (2009). . Journal of Artificial Evolution and Applications. 2009, 1-16

Citi, L., Poli, R., Cinel, C. and Sepulveda, F., (2008). . IEEE Transactions on Neural Systems and Rehabilitation Engineering. 16 (1), 51-61

Langdon, WB., Poli, R. and Banzhaf, W., (2008). An eigen analysis of the GP community. Genetic Programming and Evolvable Machines. 9 (3), 171-182

Langdon, WB., Poli, R., McPhee, NF. and Koza, JR., (2008). Genetic Programming: An Introduction and Tutorial, with a Survey of Techniques and Applications. Studies in Computational Intelligence. 115, 927-1028

Pujol, JCF. and Poli, R., (2008). Parameter Mapping: A genetic programming approach to function optimization. International Journal of Knowledge-based and Intelligent Engineering Systems. 12 (1), 29-45

Poli, R. and Stephens, CR., (2007). Understanding the Biases of Generalised Recombination: Part II. Evolutionary Computation. 15 (1), 95-131

Langdon, WB. and Poli, R., (2007). Evolving Problems to Learn About Particle Swarm Optimizers and Other Search Algorithms. IEEE Transactions on Evolutionary Computation. 11 (5), 561-578

Stephens, CR. and Poli, R., (2007). . IEEE Transactions on Evolutionary Computation. 11 (4), 541-557

(2007). Editorial Introduction to the Special Issue. Evolutionary Computation. 15 (4), iii-v

Poli, R. and Stephens, CR., (2006). Understanding the Biases of Generalised Recombination: Part I. Evolutionary Computation. 14 (4), 411-432

Poli, R. and Langdon, WB., (2006). Backward-chaining evolutionary algorithms. Artificial Intelligence. 170 (11), 953-982

Quintana, MI., Poli, R. and Claridge, E., (2006). Morphological algorithm design for binary images using genetic programming. Genetic Programming and Evolvable Machines. 7 (1), 81-102

Poli, R. and Schoenauer, M., (2006). Editorial for the Special Issue on the Best of GECCO 2004. Evolutionary Computation. 14 (1), v-v

Poli, R., McPhee, NF. and Rowe, JE., (2004). Exact Schema Theory and Markov Chain Models for Genetic Programming and Variable-length Genetic Algorithms with Homologous Crossover. Genetic Programming and Evolvable Machines. 5 (1), 31-70

Poli, R. and McPhee, NF., (2003). General Schema Theory for Genetic Programming with Subtree-Swapping Crossover: Part I. Evolutionary Computation. 11 (1), 53-66

Poli, R. and McPhee, NF., (2003). General Schema Theory for Genetic Programming with Subtree-Swapping Crossover: Part II. Evolutionary Computation. 11 (2), 169-206

Poli, R. and Cagnoni, S., (2003). Editorial. EURASIP Journal on Advances in Signal Processing. 2003 (8), 733-739

Cinel, C., Humphreys, GW. and Poli, R., (2002). Cross-modal illusory conjunctions between vision and touch.. Journal of Experimental Psychology: Human Perception and Performance. 28 (5), 1243-1266

Cinel, C., Humphreys, GW. and Poli, R., (2002). Cross-modal illusory conjunctions between vision and touch.. Journal of Experimental Psychology: Human Perception and Performance. 28 (5), 1243-1266

Gro脽mann, A. and Poli, R., (2001). Robust mobile robot localisation from sparse and noisy proximity readings using Hough transform and probability grids. Robotics and Autonomous Systems. 37 (1), 1-18

Nowostawski, M. and Poli, R., (1999). Parallel genetic algorithm taxonomy. International Conference on Knowledge-Based Intelligent Electronic Systems, Proceedings, KES, 88-92

Nowostawski, M. and Poli, R., (1999). Dynamic Demes parallel genetic algorithm. International Conference on Knowledge-Based Intelligent Electronic Systems, Proceedings, KES, 93-98

Cagnoni, S., Dobrzeniecki, AB., Poli, R. and Yanch, JC., (1999). Genetic algorithm-based interactive segmentation of 3D medical images. Image and Vision Computing. 17 (12), 881-895

Poli, R. and Langdon, WB., (1998). Schema Theory for Genetic Programming with One-Point Crossover and Point Mutation. Evolutionary Computation. 6 (3), 231-252

Pujol, JCF. and Poli, R., (1998). Evolving the Topology and the Weights of Neural Networks Using a Dual Representation. Applied Intelligence. 8 (1), 73-84

Valli, G., Poli, R., Cagnoni, S. and Coppini, G., (1998). Neural networks and prior knowledge help the segmentation of medical images. Journal of Computing and Information Technology. 6 (2), 117-133

Poli, R. and Valli, G., (1997). Shape from Radiological Density. Computer Vision and Image Understanding. 65 (3), 361-381

Poli, R. and Valli, G., (1997). An algorithm for real-time vessel enhancement and detection. Computer Methods and Programs in Biomedicine. 52 (1), 1-22

Poli, R., Cagnoni, S. and Valli, G., (1995). Genetic design of optimum linear and nonlinear QRS detectors. IEEE Transactions on Biomedical Engineering. 42 (11), 1137-1141

Coppini, G., Poli, R. and Valli, G., (1995). Recovery of the 3-D shape of the left ventricle from echocardiographic images. IEEE Transactions on Medical Imaging. 14 (2), 301-317

Poli, R., Coppini, G. and Valli, G., (1994). Recovery of 3D Closed Surfaces from Sparse Data. CVGIP: Image Understanding. 60 (1), 1-25

Poli, R., (1994). Recovery of 3D Closed Surfaces from Sparse Data. Computer Vision and Image Understanding. 60 (1), 1-25

Caramella, D., Coppini, G., Poli, R., Rucci, M. and Valli, G., (1992). A neural network approach to MR and CT image understanding. Radiologia Diagnostica. 33 (5), 341-344

Coppini, G., Poli, R., Rucci, M. and Valli, G., (1992). A neural network architecture for understanding discrete three-dimensional scenes in medical imaging. Computers and Biomedical Research. 25 (6), 569-585

Poli, R., Cagnoni, S., Livi, R., Coppini, G. and Valli, G., (1991). A neural network expert system for diagnosing and treating hypertension. Computer. 24 (3), 64-71

Calamai, R., Coppini, G., Demi, M., Poli, R. and Valli, G., (1990). A computational approach to medical imaging. Journal of Nuclear Medicine and Allied Sciences. 34 (1), 42-50

Arcangeli, A., Del Bene, MR., Poli, R., Ricupero, L. and Olivotto, M., (1989). Mutual contact of murine erythroleukemia cells activates depolarizing cation channels, whereas contact with extracellular substrata activates hyperpolarizing Ca²⁺鈥恉ependent K⁺ channels. Journal of Cellular Physiology. 139 (1), 1-8

(1999). Evolutionary Image Analysis, Signal Processing and Telecommunications. Springer Berlin Heidelberg. 9783540658375

Poli, R., Nordin, P., Langdon, WB. and Fogarty, TC., (1999). Preface

(1998). Genetic Programming. Springer Berlin Heidelberg. 9783540643609

Poli, R. and Stephens, CR., (2014). . In: Evolution, Complexity and Artificial Life. Springer Berlin Heidelberg. 19- 39. 9783642375767

Poli, R. and McPhee, NF., (2014). . In: Natural Computing Series. 181- 204. 978-3-642-33205-0

Vanneschi, L. and Poli, R., (2012). Genetic Programming 鈥� Introduction, Applications, Theory and Open Issues. In: Handbook of Natural Computing. Springer Berlin Heidelberg. 709- 739. 9783540929093

Koza, JR. and Poli, R., (2005). Genetic Programming. In: Search Methodologies. Springer US. 127- 164. 9780387234601

Rybar, M., Daly, I. and Poli, R., (2020). Potential pitfalls of widely used implementations of common spatial patterns

Cinel, C., Vargas, JF., Citi, L. and Poli, R., (2020). Benefits of Multisensory Cues in a Realistic Target Discrimination Task

Bhattacharyya, S., Valeriani, D., Cinel, C., Citi, L. and Poli, R., (2019). Collaborative Brain-Computer Interfaces to Enhance Group Decisions in an Outpost Surveillance Task

Bhattacharyya, S., Valeriani, D., Cinel, C., Citi, L. and Poli, R., (2019).

Christinaki, E., Papastylianou, T., Poli, R. and Citi, L., (2019). Parametric Transfer Learning based on the Fisher Divergence for Well-being Prediction

Morosan, M. and Poli, R., (2018). Online-Trained Fitness Approximators for聽Real-World Game Balancing

Valeriani, D., Bhattacharyya, S., Cinel, C., Citi, L. and Poli, R., (2018).

Iacob, A., Morosan, M., Sepulveda, F. and Poli, R., (2018). Genetic optimisation of BCI systems for identifying games related cognitive states

Matran-Fernandez, A., Mastinu, E., Poli, R., Ortiz-Catalan, M. and Citi, L., (2018).

Christinaki, E., Poli, R. and Citi, L., (2018).

Morosan, M. and Poli, R., (2018). Lessons from Testing an Evolutionary Automated Game Balancer in Industry

Morosan, M. and Poli, R., (2017). Automated game balancing in Ms PacMan and starcraft using evolutionary algorithms

Valeriani, D., Cinel, C. and Poli, R., (2017).

Valeriani, D., Cinel, C. and Poli, R., (2017).

Li, X., Poli, R., Valenza, G., Scilingo, EP. and Citi, L., (2017). Self-reported well-being score modelling and prediction: Proof-of-concept of an approach based on linear dynamic systems

Morosan, M. and Poli, R., (2017). Evolving a designer-balanced neural network for Ms PacMan

Morosan, M. and Poli, R., (2017). Speeding up genetic algorithm-based game balancing using fitness predictors

Andreou, D. and Poli, R., (2016). Comparing EEG, its time-derivative and their joint use as features in a BCI for 2-D pointer control

Valeriani, D., Cinel, C. and Poli, R., (2016).

Valeriani, D., Poli, R. and Cinel, C., (2015).

Valeriani, D., Poli, R. and Cinel, C., (2015).

Matran-Fernandez, A. and Poli, R., (2015).

Matran-Fernandez, A. and Poli, R., (2014).

Andreou, D. and Poli, R., (2014).

Turkey, M. and Poli, R., (2014).

Poli, R., Cinel, C., Sepulveda, F. and Stoica, A., (2013).

Cinel, C., Poli, R., Citi, L. and Roberson, D., (2013).

Matran-Fernandez, A., Poli, R. and Cinel, C., (2013).

Stoica, A., Matran-Fernandez, A., Andreou, D., Poli, R., Cinel, C., Iwashita, Y. and Padgett, C., (2013).

Poli, R., Cinel, C., Matran-Fernandez, A., Sepulveda, F. and Stoica, A., (2013).

Koohestani, B. and Poli, R., (2012). On the application of Genetic Programming to the envelope reduction problem

Koohestani, B. and Poli, R., (2012). A Genetic Programming Approach for Evolving Highly-Competitive General Algorithms for Envelope Reduction in Sparse Matrices

Turkey, M. and Poli, R., (2012). An Empirical Tool for Analysing the Collective Behaviour of Population-Based Algorithms

Salvaris, M., Cinel, C. and Poli, R., (2011). Novel sequential protocols for a ERP based BCI mouse

Poli, R., Cinel, C., Citi, L. and Salvaris, M., (2011).

Poli, R., Salvaris, M. and Cinel, C., (2011). Evolution of a Brain-Computer Interface Mouse via Genetic Programming

Poli, R., Salvaris, M. and Cinel, C., (2011). Evolutionary Synthesis of a Trajectory Integrator for an Analogue Brain-Computer Interface Mouse

Koohestani, B. and Poli, R., (2011). A Hyper-Heuristic Approach to Evolving Algorithms for Bandwidth Reduction Based on Genetic Programming

Graff, M. and Poli, R., (2011). Performance Models for Evolutionary Program Induction Algorithms Based on Problem Difficulty Indicators

Koohestani, B. and Poli, R., (2011). A hyper-heuristic approach to evolving algorithms for bandwidth reduction based on genetic programming

Turkey, M. and Poli, R., (2011). A social behaviour evolution approach for evolutionary optimisation

Turkey, M. and Poli, R., (2011). Investigating a new paradigm for designing evolutionary optimisation algorithms using social behaviour evolution

Turkey, M. and Poli, R., (2011). Social adaptive groups

Poli, R., Salvaris, M. and Cinel, C., (2011). Evolution of an Effective Brain-Computer Interface Mouse via Genetic Programming with Adaptive Tarpeian Bloat Control

Citi, L., Poli, R. and Cinel, C., (2010).

Kattan, A. and Poli, R., (2010). Evolutionary synthesis of lossless compression algorithms with GP-zip3

Koohestani, B. and Poli, R., (2010). A Genetic Programming Approach to the Matrix Bandwidth-Minimization Problem

Dignum, S. and Poli, R., (2010). Sub-tree Swapping Crossover and Arity Histogram Distributions

Kattan, A., Agapitos, A. and Poli, R., (2010). Unsupervised Problem Decomposition Using Genetic Programming

Poli, R., (2010). Solution-Locked Averages and Solution-Time Binning in Genetic Programming

Poli, R., (2010). Genetic programming theory

Kattan, A. and Poli, R., (2010). Genetic-Programming Based Prediction of Data Compression Saving

Kattan, A., Galv谩n-L贸pez, E., Poli, R. and O鈥橬eill, M., (2010). GP-Fileprints: File Types Detection Using Genetic Programming

Poli, R., McPhee, NF., Citi, L. and Crane, E., (2009).

Poli, R. and Graff, M., (2009). There Is a Free Lunch for Hyper-Heuristics, Genetic Programming and Computer Scientists

Bader-El-Den, M. and Poli, R., (2009). EVOLVING EFFECTIVE INCREMENTAL SOLVERS FOR SAT WITH A HYPER-HEURISTIC FRAMEWORK BASED ON GENETIC PROGRAMMING

Graff, M. and Poli, R., (2009). Automatic Creation of Taxonomies of Genetic Programming Systems

Poli, R., Graff, M. and McPhee, NF., (2009). Free lunches for function and program induction

Poli, R., McPhee, NF. and Vanneschi, L., (2009). ANALYSIS OF THE EFFECTS OF ELITISM ON BLOAT IN LINEAR AND TREE-BASED GENETIC PROGRAMMING

Kattan, A., Al-Mulla, MR., Sepulveda, F. and Poli, R., (2009). Detecting Localised Muscle Fatigue during Isometric Contraction using Genetic Programming.

Galv谩n-L贸pez, E. and Poli, R., (2009). An Empirical Investigation of How Degree Neutrality Affects GP Search

Citi, L., Poli, R. and Cinel, C., (2009).

Vanneschi, L., Valsecchi, A. and Poli, R., (2009). Limitations of the fitness-proportional negative slope coefficient as a difficulty measure

McPhee, NF., Crane, E., Lahr, SE. and Poli, R., (2009). Developmental plasticity in linear genetic programming

El Den, MB. and Poli, R., (2009). Grammar-based genetic programming for timetabling

Poli, R. and Graff, M., (2009). Free lunches for neural network search

Poli, R. and McPhee, NF., (2009). Introduction to genetic programming

Poli, R. and Langdon, WB., (2009). Genetic programming theory I & II

Bader-El-Den, M. and Poli, R., (2008). Generating SAT Local-Search Heuristics Using a GP Hyper-Heuristic Framework

Bader-El-Den, M. and Poli, R., (2008). Analysis and extension of the Inc* on the satisfiability testing problem

Galv谩n-L贸pez, E., Dignum, S. and Poli, R., (2008). The Effects of Constant Neutrality on Performance and Problem Hardness in GP

Kattan, A. and Poli, R., (2008). Evolutionary lossless compression with GP-ZIP

Poli, R. and McPhee, NF., (2008). A Linear Estimation-of-Distribution GP System

Keller, RE. and Poli, R., (2008). Cost-Benefit Investigation of a Genetic-Programming Hyperheuristic

Graff, M. and Poli, R., (2008). Practical Model of Genetic Programming鈥檚 Performance on Rational Symbolic Regression Problems

Dignum, S. and Poli, R., (2008). Operator Equalisation and Bloat Free GP

Dignum, S. and Poli, R., (2008). Crossover, Sampling, Bloat and the Harmful Effects of Size Limits

Bader-El-Den, M. and Poli, R., (2008). Inc*: An Incremental Approach for Improving Local Search Heuristics

Dignum, S. and Poli, R., (2008). Sub-tree Swapping Crossover, Allele Diffusion and GP Convergence

Keller, RE. and Poli, R., (2008). Self-adaptive hyperheuristic and greedy search

Keller, RE. and Poli, R., (2008). Toward subheuristic search

Pazienza, GE., Vilasis-Cardona, X. and Poli, R., (2008). An alternative proof of the universality of the CNN-UM and its practical applications

Keller, RE. and Poli, R., (2008). Subheuristic search and scalability in a hyperheuristic

Langdon, WB. and Poli, R., (2008). Mapping non-conventional extensions of genetic programming

McPhee, NF. and Poli, R., (2008). Memory with memory: Soft assignment in genetic programming

Kattan, A. and Poli, R., (2008). Evolutionary lossless compression with GP-ZIP*

Poli, R., McPhee, NF. and Vanneschi, L., (2008). Elitism reduces bloat in genetic programming

Poli, R. and McPhee, NF., (2008). Parsimony pressure made easy

Poli, R., (2008). Genetic programming theory

Poli, R., McPhee, NF. and Vanneschi, L., (2008). The impact of population size on code growth in GP: Analysis and empirical validation

Bader-El-Den, MB. and Poli, R., (2008). Evolving heuristics with genetic programming

Poli, R., Cinel, C., Citi, L. and Sepulveda, F., (2007). Evolutionary Brain Computer Interfaces

Poli, R. and Langdon, WB., (2007). Efficient Markov Chain Model of Machine Code Program Execution and Halting

Dignum, S. and Poli, R., (2007). Generalisation of the limiting distribution of program sizes in tree-based genetic programming and analysis of its effects on bloat

Poli, R., Langdon, WB. and Dignum, S., (2007). On the Limiting Distribution of Program Sizes in Tree-Based Genetic Programming

Graff, M., Poli, R. and Moraglio, A., (2007). Linear selection

Poli, R. and Langdon, WB., (2007). Markov chain models of bare-bones particle swarm optimizers

Keller, RE. and Poli, R., (2007). Linear genetic programming of metaheuristics

Di Chio, C., Poli, R. and Di Chio, P., (2007). EcoPS

Poli, R., Bratton, D., Blackwell, T. and Kennedy, J., (2007). Theoretical derivation, analysis and empirical evaluation of a simpler Particle Swarm Optimiser

Bader-El-Den, MB. and Poli, R., (2007). A GP-based hyper-heuristic framework for evolving 3-SAT heuristics

Poli, R. and Broomhead, D., (2007). Exact analysis of the sampling distribution for the canonical particle swarm optimiser and its convergence during stagnation

Poli, R. and Vanneschi, L., (2007). Fitness-proportional negative slope coefficient as a hardness measure for genetic algorithms

Keller, RE. and Poli, R., (2007). Linear genetic programming of parsimonious metaheuristics

Galvan-Lopez, E. and Poli, R., (2007). How and why a bit-wise neutrality with and without locality affects evolutionary search

Poli, R., Woodward, J. and Burke, EK., (2007). A histogram-matching approach to the evolution of bin-packing strategies

Moraglio, A., Di Chio, C. and Poli, R., (2007). Geometric Particle Swarm Optimisation

Graff, M., Poli, R. and Moraglio, A., (2007). Linear selection

Poli, R. and Galv谩n-L贸pez, E., (2007). On the Effects of Bit-Wise Neutrality on Fitness Distance Correlation, Phenotypic Mutation Rates and Problem Hardness

Poli, R., (2007). On the moments of the sampling distribution of particle swarm optimisers

Borenstein, Y. and Poli, R., (2007). Decomposition of Fitness Functions in Random Heuristic Search

Moraglio, A. and Poli, R., (2007). Inbreeding Properties of Geometric Crossover and Non-geometric Recombinations

Poli, R. and Langdon, WB., (2007). Genetic programming theory

Poli, R., Langdon, WB., Clerc, M. and Stephens, CR., (2007). Continuous Optimisation Theory Made Easy? Finite-Element Models of Evolutionary Strategies, Genetic聽Algorithms and Particle聽Swarm聽Optimizers

Di Chio, C., Moraglio, A. and Poli, R., (2007). Geometric particle swarm optimisation on binary and real spaces

Galv谩n-L贸pez, E. and Poli, R., (2006). Some Steps Towards Understanding How Neutrality Affects Evolutionary Search

Borenstein, Y. and Poli, R., (2006). Information Perspective of Optimization

Galv谩n-L贸pez, E. and Poli, R., (2006). An empirical investigation of how and why neutrality affects evolutionary search

Borenstein, Y. and Poli, R., (2006). Kolmogorov complexity, Optimization and Hardness

Borenstein, Y. and Poli, R., (2006). Classes of problems in the black box scenario

Borenstein, Y. and Poli, R., (2006). Structure and metaheuristics

Borenstein, Y. and Poli, R., (2006). The no free lunch and realistic search algorithms

Poli, R. and Langdon, WB., (2006). Running Genetic Programming Backwards

Langdon, WB. and Poli, R., (2006). Finding social landscapes for PSOs via kernels

Langdon, WB. and Poli, R., (2006). The Halting Probability in Von Neumann Architectures

Moraglio, A. and Poli, R., (2006). Product Geometric Crossover

Poli, R., Wright, AH., McPhee, NF. and Langdon, WB., (2006). Emergent Behaviour, Population-based Search and Low-pass Filtering

Moraglio, A. and Poli, R., (2006). Geometric Crossover for Sets, Multisets and Partitions

Moraglio, A., Kim, Y-H., Yoon, Y., Moon, B-R. and Poli, R., (2006). Generalized cycle crossover for graph partitioning

Di Chio, C., Poli, R. and Di Chio, P., (2006). Extending the Particle Swarm Algorithm to Model Animal Foraging Behaviour

Poli, R., Langdon, WB., Marrow, P., Kennedy, J., Clerc, M., Bratton, D. and Holden, N., (2006). Communication, Leadership, Publicity and Group Formation in Particle Swarms

Moraglio, A., Poli, R. and Seehuus, R., (2006). Geometric Crossover for Biological Sequences

Di Chio, C., Poli, R. and Di Chio, P., (2006). Modelling Group-Foraging Behaviour with Particle Swarms

Menon, C., De Negueruela, C., Mill谩n, JDR., Tonet, O., Carpi, F., Broschart, M., Ferrez, P., Buttfield, A., Dario, P., Citi, L., Laschi, C., Tombini, M., Seplveda, F., Poli, R., Palaniappan, R., Tecchio, F., Rossini, PM. and De Rossi, D., (2006).

Langdon, WB. and Poli, R., (2006). Finding social landscapes for PSOs via kernels

Citi, L., Poli, R. and Cinel, C., (2006).

Langdon, WB. and Poli, R., (2006). On Turing complete T7 and MISC F-4 program fitness landscapes

Poli, R., Di Chio, C. and Langdon, WB., (2005). Exploring extended particle swarms

Poli, R. and Langdon, WB., (2005). Backward-chaining genetic programming

Langdon, WB. and Poli, R., (2005). Evolutionary Solo Pong players

Borenstein, Y. and Poli, R., (2005). No free lunch, Kolmogorov complexity and the information landscape

Poli, R., Langdon, WB. and Holland, O., (2005). Extending Particle Swarm Optimisation via Genetic Programming

Borenstein, Y. and Poli, R., (2005). Information landscapes and problem hardness

Borenstein, Y. and Poli, R., (2005). Information landscapes

Yossi, B. and Poli, R., (2005). Information landscapes and the analysis of search algorithms

Langdon, WB., Poli, R., Holland, O. and Krink, T., (2005). Understanding particle swarm optimisation by evolving problem landscapes

Moraglio, A. and Poli, R., (2005). Geometric landscape of homologous crossover for syntactic trees

Poli, R., (2005). Tournament Selection, Iterated Coupon-Collection Problem, and Backward-Chaining Evolutionary Algorithms

Poli, R. and Stephens, CR., (2005). Theoretical analysis of generalised recombination

Langdon, WB. and Poli, R., (2005). Evolving problems to learn about particle swarm and other optimisers

Stephens, CR. and Poli, R., (2005). Coarse graining in an evolutionary algorithm with recombination, duplication and inversion

Langdon, WB., Poli, R., Holland, O. and Krink, T., (2005). Understanding particle swarm optimisation by evolving problem landscapes

Moraglio, A. and Poli, R., (2005). Topological crossover for the permutation representation

Dignum, S. and Poli, R., (2004). Multi-agent Foreign Exchange Market Modelling Via GP

Borenstein, Y. and Poli, R., (2004). Fitness Distributions and GA Hardness

L贸pez, EG., Poli, R. and Coello, CAC., (2004). Reusing Code in Genetic Programming

Moraglio, A. and Poli, R., (2004). Topological Interpretation of Crossover

Pujol, JCF. and Poli, R., (2004). Optimization via Parameter Mapping with Genetic Programming

Poli, R. and Stephens, CR., (2004). Constrained Molecular Dynamics as a Search and Optimization Tool

Wright, A., Poli, R., Stephens, CR., Langdon, WB. and Pulavarty, S., (2004). An Estimation of Distribution Algorithm Based on Maximum Entropy

Citi, L., Poli, R. and Sepulveda, F., (2004).

Cinel, C., Poli, R. and Citi, L., (2004).

Quintana, MI., Poli, R. and Claridge, E., (2003). On Two Approaches to Image Processing Algorithm Design for Binary Images Using GP

Poli, R., (2003). A Simple but Theoretically-Motivated Method to Control Bloat in Genetic Programming

Poli, R., Rowe, JE., Stephens, CR. and Wright, AH., (2002). Allele Diffusion in Linear Genetic Programming and Variable-Length Genetic Algorithms with Subtree Crossover

Poli, R. and Freitag McPhee, N., (2001). Exact Schema Theorems for GP with One-Point and Standard Crossover Operating on Linear Structures and Their Application to the Study of the Evolution of Size

Freitag McPhee, N. and Poli, R., (2001). A Schema Theory Analysis of the Evolution of Size in Genetic Programming with Linear Representations

Poli, R., (2001). General Schema Theory for Genetic Programming with Subtree-Swapping Crossover

McPhee, NF., Poli, R. and Rowe, JE., (2001). A schema theory analysis of mutation size biases in genetic programming with linear representations

Poli, R. and McPhee, NF., (2001). Exact GP schema theory for headless chicken crossover and subtree mutation

Poli, R., (2000). Hyperschema Theory for GP with One-Point Crossover, Building Blocks, and Some New Results in GA Theory

Gro脽mann, A. and Poli, R., (2000). Learning a Navigation Task in Changing Environments by Multi-task Reinforcement Learning

Poli, R., (2000). Why the schema theorem is correct also in the presence of stochastic effects

Radi, A. and Poli, R., (1999). Genetic Programming Discovers Efficient Learning Rules for the Hidden and Output Layers of Feedforward Neural Networks

Poli, R., (1999). Sub-machine-code GP: New Results and Extensions

Page, J., Poli, R. and Langdon, WB., (1999). Mutation in Genetic Programming: A Preliminary Study

Langdon, WB. and Poli, R., (1999). Boolean Functions Fitness Spaces

Poli, R., (1999). Evolutionary computation teaching at Birmingham

Langdon, WB. and Poli, R., (1998). Fitness causes bloat: Mutation

Langdon, WB. and Poli, R., (1998). Genetic programming bloat with dynamic fitness

Poli, R. and Langdon, WB., (1998). A review of theoretical and experimental results on schemata in genetic programming

Gro脽mann, A. and Poli, R., (1998). Continual Robot Learning with Constructive Neural Networks

Pujol, JCF. and Poli, R., (1998). Dual network representation applied to the evolution of neural controllers

Radi, A. and Poli, R., (1998). Discovery of backpropagation learning rules using genetic programming

Pujol, JCF. and Poli, R., (1998). Efficient evolution of asymmetric recurrent neural networks using a PDGP-inspired two-dimensional representation

Pujol, JCF. and Poli, R., (1998). Evolving neural networks using a dual representation with a combined crossover operator

Poli, R., (1997). Parallel distributed genetic programming applied to the evolution of natural language recognisers

Poli, R., (1996). Genetic Programming for feature detection and image segmentation

Sloman, A. and Poli, R., (1996). SIM_AGENT: A toolkit for exploring agent designs

(1995). Progress in Artificial Intelligence

Cagnoni, S., Dobrzeniecki, AB., Yanch, JC. and Poli, R., (1994). Interactive segmentation of multi-dimensional medical data with contour-based application of genetic algorithms

Poli, R. and Valli, G., (1993). Neural inhabitants of MR and echo images segment cardiac structures

Poli, R., Coppini, G., Nobili, R. and Valli, G., (1992). LV shape recovery from echocardiographic images by means of computer vision techniques and neural networks

Cagnoni, S., Coppini, G., Livi, R., Poli, R., Scarpelli, PT. and Valli, G., (1992). A neural network expert system for computer-assisted analysis of blood-pressure data

Poli, R., Coppini, G., Demi, M. and Valli, G., (1991). An artificial vision system for coronary angiography

Poli, R. and McPhee, NF., (2008).

Poli, R. and McPhee, NF., (2008).

Poli, R., (2007).

Poli, R., Langdon, WB. and Dignum, S., (2006).

Poli, R. and Stephens, CR., (2005).

Poli, R. and Stephens, CR., (2005).

Poli, R. and Langdon, WB., (2005).

Langdon, WB. and Poli, R., (2005).

Poli, R. and Moraglio, A., (2005).

Poli, R. and Moraglio, A., (2005).

Poli, R. and Dignum, S., (2004).

Poli, R. and Freitag McPhee, N., (2002).