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Michael N. Vrahatis
2010 – today
- 2013
[j57]Maximos A. Kaliakatsos-Papakostas, Andreas Floros, Michael N. Vrahatis: A Clustering Strategy for the Key Segmentation of Musical Audio. Computer Music Journal 37(1): 52-69 (2013)- [c49]Maximos A. Kaliakatsos-Papakostas, Andreas Floros, Michael N. Vrahatis: evoDrummer: Deriving Rhythmic Patterns through Interactive Genetic Algorithms. EvoMUSART 2013: 25-36
- 2012
- [j56]Constantinos Voglis, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris, Michael N. Vrahatis: MEMPSODE: A global optimization software based on hybridization of population-based algorithms and local searches. Computer Physics Communications 183(5): 1139-1154 (2012)
- [j55]Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis: Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution: A hybrid approach. Inf. Sci. 216: 50-92 (2012)
- [j54]Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Andreas Floros, Michael N. Vrahatis: Controlling interactive evolution of 8-bit melodies with genetic programming. Soft Comput. 16(12): 1997-2008 (2012)
- [c48]Ilias S. Kotsireas, Konstantinos E. Parsopoulos, Grigoris S. Piperagkas, Michael N. Vrahatis: Ant-Based Approaches for Solving Autocorrelation Problems. ANTS 2012: 220-227
- [c47]Maximos A. Kaliakatsos-Papakostas, Andreas Floros, Michael N. Vrahatis, Nikolaos Kanellopoulos: Real-time drums transcription with characteristic bandpass filtering. Audio Mostly Conference 2012: 152-159
- [c46]Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis: Multimodal optimization using niching differential evolution with index-based neighborhoods. IEEE Congress on Evolutionary Computation 2012: 1-8
- [c45]Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis: Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential forgetting. IEEE Congress on Evolutionary Computation 2012: 1-8
- [c44]Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Andreas Floros, Michael N. Vrahatis: Interactive Evolution of 8-Bit Melodies with Genetic Programming towards Finding Aesthetic Measures for Sound. EvoMUSART 2012: 141-152
- [c43]Maximos A. Kaliakatsos-Papakostas, Andreas Floros, Nikolaos Kanellopoulos, Michael N. Vrahatis: Genetic evolution of L and FL-systems for the production of rhythmic sequences. GECCO (Companion) 2012: 461-468
- [c42]Maximos A. Kaliakatsos-Papakostas, Andreas Floros, Michael N. Vrahatis: Intelligent Real-Time Music Accompaniment for Constraint-Free Improvisation. ICTAI 2012: 444-451
- [c41]Maximos A. Kaliakatsos-Papakostas, Andreas Floros, Michael N. Vrahatis: Intelligent Generation of Rhythmic Sequences Using Finite L-systems. IIH-MSP 2012: 424-427
- [c40]Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis: Tracking Differential Evolution Algorithms: An Adaptive Approach through Multinomial Distribution Tracking with Exponential Forgetting. SETN 2012: 214-222
- 2011
- [j53]Michael G. Epitropakis, Michael N. Vrahatis: Studying the Basin of convergence of Methods for Computing periodic orbits. I. J. Bifurcation and Chaos 21(8): 2079-2106 (2011)
- [j52]Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis: Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators. IEEE Trans. Evolutionary Computation 15(1): 99-119 (2011)
- [c39]Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Michael N. Vrahatis: Weighted Markov Chain Model for Musical Composer Identification. EvoApplications (2) 2011: 334-343
- [c38]Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Michael N. Vrahatis: Feature Extraction Using Pitch Class Profile Information Entropy. MCM 2011: 354-357
- [c37]
- 2010
- [j51]Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis: Hardware-friendly Higher-Order Neural Network Training using Distributed Evolutionary Algorithms. Appl. Soft Comput. 10(2): 398-408 (2010)
- [j50]Panagiotis D. Alevizos, Michael N. Vrahatis: Optimal Dynamic Box-Counting Algorithm. I. J. Bifurcation and Chaos 20(12): 4067-4077 (2010)
- [j49]A. V. Adamopoulos, Nicos G. Pavlidis, Michael N. Vrahatis: Evolving cellular automata rules for multiple-step-ahead prediction of complex binary sequences. Mathematical and Computer Modelling 51(3-4): 229-238 (2010)
- [j48]Michael N. Vrahatis, Georgios A. Tsirogiannis, Elena C. Laskari: Novel orbit based symmetric cryptosystems. Mathematical and Computer Modelling 51(3-4): 239-246 (2010)
- [c36]Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis: Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution. IEEE Congress on Evolutionary Computation 2010: 1-8
- [c35]Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Michael N. Vrahatis: Musical Composer Identification through Probabilistic and Feedforward Neural Networks. EvoApplications (2) 2010: 411-420
2000 – 2009
- 2009
- [j47]Elena C. Laskari, Gerasimos C. Meletiou, Michael N. Vrahatis: Aitken and Neville inverse interpolation methods for the Lucas logarithm problem. Applied Mathematics and Computation 209(1): 52-56 (2009)
- [j46]Konstantinos E. Parsopoulos, F. Kariotou, George Dassios, Michael N. Vrahatis: Tackling magnetoencephalography with particle swarm optimization. IJBIC 1(1/2): 32-49 (2009)
- [j45]Y. G. Petalas, Konstantinos E. Parsopoulos, Michael N. Vrahatis: Improving fuzzy cognitive maps learning through memetic particle swarm optimization. Soft Comput. 13(1): 77-94 (2009)
- [c34]Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis: Evolutionary adaptation of the differential evolution control parameters. IEEE Congress on Evolutionary Computation 2009: 1359-1366
- [c33]Stavros Adam, Dimitrios A. Karras, Michael N. Vrahatis: A Data Mining Approach in the Analysis of the Weight Space of Multilayer Perceptron Solving Complex Real World Tasks. Industrial Conference on Data Mining - Posters 2009: 38-52
- [c32]Vasileios L. Georgiou, Sonia Malefaki, Konstantinos E. Parsopoulos, Philipos D. Alevizos, Michael N. Vrahatis: Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks. LION 2009: 30-44
- 2008
- [j44]Y. G. Petalas, Chris Antonopoulos, Tassos Bountis, Michael N. Vrahatis: Evolutionary Methods for the Approximation of the Stability Domain and Frequency Optimization of Conservative Maps. I. J. Bifurcation and Chaos 18(8): 2249-2264 (2008)
- [j43]Vasileios L. Georgiou, Philipos D. Alevizos, Michael N. Vrahatis: Novel Approaches to Probabilistic Neural Networks Through Bagging and Evolutionary Estimating of Prior Probabilities. Neural Processing Letters 27(2): 153-162 (2008)
- [c31]Vasileios L. Georgiou, Philipos D. Alevizos, Michael N. Vrahatis: Fuzzy Evolutionary Probabilistic Neural Networks. ANNPR 2008: 113-124
- [c30]Konstantinos E. Parsopoulos, Voula C. Georgopoulos, Michael N. Vrahatis: A technique for the visualization of population-based algorithms. IEEE Congress on Evolutionary Computation 2008: 1694-1701
- [c29]Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis: Balancing the exploration and exploitation capabilities of the Differential Evolution Algorithm. IEEE Congress on Evolutionary Computation 2008: 2686-2693
- [c28]Konstantinos E. Parsopoulos, K. Skouri, Michael N. Vrahatis: Particle Swarm Optimization for Tackling Continuous Review Inventory Models. EvoWorkshops 2008: 103-112
- [c27]A. D. Klamargias, Konstantinos E. Parsopoulos, Philipos D. Alevizos, Michael N. Vrahatis: Particle filtering with particle swarm optimization in systems with multiplicative noise. GECCO 2008: 57-62
- [c26]Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis: Non-monotone differential evolution. GECCO 2008: 527-528
- [c25]Stavros Adam, Dimitrios A. Karras, Michael N. Vrahatis: Revisiting the Problem of Weight Initialization for Multi-Layer Perceptrons Trained with Back Propagation. ICONIP (2) 2008: 308-315
- [p3]Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis: Computational Intelligence Algorithms and DNA Microarrays. Computational Intelligence in Bioinformatics 2008: 1-31
- 2007
- [j42]Elena C. Laskari, Gerasimos C. Meletiou, Yannis C. Stamatiou, Michael N. Vrahatis: Applying evolutionary computation methods for the cryptanalysis of Feistel ciphers. Applied Mathematics and Computation 184(1): 63-72 (2007)
- [j41]Nicos G. Pavlidis, Michael N. Vrahatis, P. Mossay: Existence and computation of short-run equilibria in economic geography. Applied Mathematics and Computation 184(1): 93-103 (2007)
- [j40]Y. G. Petalas, Konstantinos E. Parsopoulos, Michael N. Vrahatis: Memetic particle swarm optimization. Annals OR 156(1): 99-127 (2007)
- [j39]Todor Ganchev, Dimitris K. Tasoulis, Michael N. Vrahatis, Nikos Fakotakis: Generalized locally recurrent probabilistic neural networks with application to text-independent speaker verification. Neurocomputing 70(7-9): 1424-1438 (2007)
- [j38]Elena C. Laskari, Gerasimos C. Meletiou, Yannis C. Stamatiou, Dimitris K. Tasoulis, Michael N. Vrahatis: Assessing the effectiveness of artificial neural networks on problems related to elliptic curve cryptography. Mathematical and Computer Modelling 46(1-2): 174-179 (2007)
- [j37]Konstantinos E. Parsopoulos, Michael N. Vrahatis: Parameter selection and adaptation in Unified Particle Swarm Optimization. Mathematical and Computer Modelling 46(1-2): 198-213 (2007)
- [j36]Dimitris K. Tasoulis, Michael N. Vrahatis: Generalizing the k-Windows clustering algorithm in metric spaces. Mathematical and Computer Modelling 46(1-2): 268-277 (2007)
- [c24]Nicos G. Pavlidis, E. G. Pavlidis, Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis: Computational intelligence algorithms for risk-adjusted trading strategies. IEEE Congress on Evolutionary Computation 2007: 540-547
- [c23]Y. G. Petalas, Konstantinos E. Parsopoulos, Michael N. Vrahatis: Entropy-based Memetic Particle Swarm Optimization for computing periodic orbits of nonlinear mappings. IEEE Congress on Evolutionary Computation 2007: 2040-2047
- [p2]Elena C. Laskari, Gerasimos C. Meletiou, Yannis C. Stamatiou, Michael N. Vrahatis: Cryptography and Cryptanalysis Through Computational Intelligence. Computational Intelligence in Information Assurance and Security 2007: 1-49
- 2006
- [j35]Dimitris K. Tasoulis, Panagiota Spyridonos, Nicos G. Pavlidis, Vassilis P. Plagianakos, Panagiota Ravazoula, George Nikiforidis, Michael N. Vrahatis: Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence. Artificial Intelligence in Medicine 38(3): 291-303 (2006)
- [j34]Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis: Unsupervised clustering in mRNA expression profiles. Comp. in Bio. and Med. 36(10): 1126-1142 (2006)
- [j33]Bernard Mourrain, Nicos G. Pavlidis, Dimitris K. Tasoulis, Michael N. Vrahatis: Determining the number of real roots of polynomials through neural networks. Computers & Mathematics with Applications 51(3-4): 527-536 (2006)
- [j32]Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis: Distributed computing methodology for training neural networks in an image-guided diagnostic application. Computer Methods and Programs in Biomedicine 81(3): 228-235 (2006)
- [j31]Vasileios L. Georgiou, Nicos G. Pavlidis, Konstantinos E. Parsopoulos, Philipos D. Alevizos, Michael N. Vrahatis: New Self-adaptive Probabilistic Neural Networks in Bioinformatic and Medical Tasks. International Journal on Artificial Intelligence Tools 15(3): 371-396 (2006)
- [j30]George D. Magoulas, Michael N. Vrahatis: Adaptive Algorithms for Neural Network Supervised Learning: a Deterministic Optimization Approach. I. J. Bifurcation and Chaos 16(7): 1929-1950 (2006)
- [j29]Nicos G. Pavlidis, Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis: Computational Intelligence Methods for Financial Time Series Modeling. I. J. Bifurcation and Chaos 16(7): 2053-2062 (2006)
- [j28]Dimitris K. Tasoulis, Michael N. Vrahatis: Unsupervised Clustering Using Fractal Dimension. I. J. Bifurcation and Chaos 16(7): 2073-2079 (2006)
- [j27]Susumu Tanabé, Michael N. Vrahatis: On perturbation of roots of homogeneous algebraic systems. Math. Comput. 75(255): 1383-1402 (2006)
- [j26]Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis: Evolutionary training of hardware realizable multilayer perceptrons. Neural Computing and Applications 15(1): 33-40 (2006)
- [j25]Nicos G. Pavlidis, Vassilis P. Plagianakos, Dimitris K. Tasoulis, Michael N. Vrahatis: Financial forecasting through unsupervised clustering and neural networks. Operational Research 6(2): 103-127 (2006)
- [c22]Konstantinos E. Parsopoulos, Michael N. Vrahatis: Studying the Performance of Unified Particle Swarm Optimization on the Single Machine Total Weighted Tardiness Problem. Australian Conference on Artificial Intelligence 2006: 760-769
- [c21]Dimitris K. Tasoulis, Elena C. Laskari, Gerasimos C. Meletiou, Michael N. Vrahatis: Privacy Preserving Unsupervised Clustering over Vertically Partitioned Data. ICCSA (5) 2006: 635-643
- [c20]Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis: Differential Evolution Algorithms for Finding Predictive Gene Subsets in Microarray Data. AIAI 2006: 484-491
- [p1]Dimitris K. Tasoulis, Dimitrios Zeimpekis, Efstratios Gallopoulos, Michael N. Vrahatis: Oriented k-windows: A PCA driven clustering method. Advances in Web Intelligence and Data Mining 2006: 319-328
- 2005
- [j24]Aristoklis D. Anastasiadis, George D. Magoulas, Michael N. Vrahatis: New globally convergent training scheme based on the resilient propagation algorithm. Neurocomputing 64: 253-270 (2005)
- [j23]Elpiniki Papageorgiou, Konstantinos E. Parsopoulos, Chrysostomos D. Stylios, Petros P. Groumpos, Michael N. Vrahatis: Fuzzy Cognitive Maps Learning Using Particle Swarm Optimization. J. Intell. Inf. Syst. 25(1): 95-121 (2005)
- [j22]Elena C. Laskari, Gerasimos C. Meletiou, Dimitris K. Tasoulis, Michael N. Vrahatis: Privacy preserving electronic data gathering. Mathematical and Computer Modelling 42(7-8): 739-746 (2005)
- [j21]Aristoklis D. Anastasiadis, George D. Magoulas, Michael N. Vrahatis: Sign-based learning schemes for pattern classification. Pattern Recognition Letters 26(12): 1926-1936 (2005)
- [j20]Dimitris K. Tasoulis, Michael N. Vrahatis: Unsupervised clustering on dynamic databases. Pattern Recognition Letters 26(13): 2116-2127 (2005)
- [j19]Dimitris J. Kavvadias, F. S. Makri, Michael N. Vrahatis: Efficiently Computing Many Roots of a Function. SIAM J. Scientific Computing 27(1): 93-107 (2005)
- [c19]Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis: Clustering in evolutionary algorithms to efficiently compute simultaneously local and global minima. Congress on Evolutionary Computation 2005: 1847-1854
- [c18]Dimitris K. Tasoulis, Michael N. Vrahatis: The new window density function for efficient evolutionary unsupervised clustering. Congress on Evolutionary Computation 2005: 2388-2394
- [c17]Konstantinos E. Parsopoulos, Michael N. Vrahatis: Unified Particle Swarm Optimization in Dynamic Environments. EvoWorkshops 2005: 590-599
- [c16]Nicos G. Pavlidis, Dimitris K. Tasoulis, Michael N. Vrahatis: Time Series Forecasting Methodology for Multiple-Step-Ahead Prediction. Computational Intelligence 2005: 456-461
- [c15]Konstantinos E. Parsopoulos, Michael N. Vrahatis: Unified Particle Swarm Optimization for Solving Constrained Engineering Optimization Problems. ICNC (3) 2005: 582-591
- [i1]Ch. Skokos, Konstantinos E. Parsopoulos, P. A. Patsis, Michael N. Vrahatis: Particle Swarm Optimization: An efficient method for tracing periodic orbits in 3D galactic potentials. CoRR abs/astro-ph/0502164 (2005)
- 2004
- [j18]George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis: Neural network-based colonoscopic diagnosis using on-line learning and differential evolution. Appl. Soft Comput. 4(4): 369-379 (2004)
- [j17]M. G. Karagiannopoulos, Michael N. Vrahatis, Gerasimos C. Meletiou: A note on a secure voting system on a public network. Networks 43(4): 224-225 (2004)
- [j16]Konstantinos E. Parsopoulos, Michael N. Vrahatis: On the Computation of All Global Minimizers Through Particle Swarm Optimization. IEEE Trans. Evolutionary Computation 8(3): 211-224 (2004)
- [c14]Aristoklis D. Anastasiadis, George D. Magoulas, Michael N. Vrahatis: A New Learning Rates Adaptation Strategy for the Resilient Propagation Algorithm. ESANN 2004: 1-6
- [c13]Konstantinos E. Parsopoulos, Elpiniki Papageorgiou, Peter P. Groumpos, Michael N. Vrahatis: Evolutionary Computation Techniques for Optimizing Fuzzy Cognitive Maps in Radiation Therapy Systems. GECCO (1) 2004: 402-413
- [c12]Y. G. Petalas, Dimitris K. Tasoulis, Michael N. Vrahatis: Dynamic Search Trajectory Methods for Neural Network Training. ICAISC 2004: 241-246
- [c11]Elpiniki Papageorgiou, Konstantinos E. Parsopoulos, Peter P. Groumpos, Michael N. Vrahatis: Fuzzy Cognitive Maps Learning through Swarm Intelligence. ICAISC 2004: 344-349
- [c10]Dimitris K. Tasoulis, Liviu Vladutu, Vassilis P. Plagianakos, Anastasios Bezerianos, Michael N. Vrahatis: Online Neural Network Training for Automatic Ischemia Episode Detection. ICAISC 2004: 1062-1068
- [c9]Dimitris K. Tasoulis, Michael N. Vrahatis: Unsupervised distributed clustering. Parallel and Distributed Computing and Networks 2004: 347-351
- 2003
- [j15]Elena C. Laskari, Konstantinos E. Parsopoulos, Michael N. Vrahatis: Evolutionary Operators in Global Optimization with Dynamic Search Trajectories. Numerical Algorithms 34(2-4): 393-403 (2003)
- [c8]Todor Ganchev, Dimitris K. Tasoulis, Michael N. Vrahatis, Nikos Fakotakis: Locally recurrent probabilistic neural network for text-independent speaker verification. INTERSPEECH 2003
- [c7]Dimitris K. Tasoulis, Panagiota Spyridonos, Nicos G. Pavlidis, Dionisis Cavouras, Panagiota Ravazoula, George Nikiforidis, Michael N. Vrahatis: Urinary Bladder Tumor Grade Diagnosis Using On-line Trained Neural Networks. KES 2003: 199-206
- [c6]Dimitris K. Tasoulis, Panagiotis D. Alevizos, Basilis Boutsinas, Michael N. Vrahatis: Parallel Unsupervised k-Windows: An Efficient Parallel Clustering Algorithm. PaCT 2003: 336-344
- [c5]Panagiotis D. Alevizos, Dimitris K. Tasoulis, Michael N. Vrahatis: Parallelizing the Unsupervised k-Windows Clustering Algorithm. PPAM 2003: 225-232
- 2002
- [j14]Michael N. Vrahatis, Basilis Boutsinas, Panagiotis D. Alevizos, Georgios Pavlides: The New k-Windows Algorithm for Improving the k-Means Clustering Algorithm. J. Complexity 18(1): 375-391 (2002)
- [j13]Bernard Mourrain, Michael N. Vrahatis, Jean-Claude Yakoubsohn: On the Complexity of Isolating Real Roots and Computing with Certainty the Topological Degree. J. Complexity 18(2): 612-640 (2002)
- [j12]Konstantinos E. Parsopoulos, Michael N. Vrahatis: Recent approaches to global optimization problems through Particle Swarm Optimization. Natural Computing 1(2-3): 235-306 (2002)
- [j11]Vassilis P. Plagianakos, Michael N. Vrahatis: Parallel evolutionary training algorithms for "hardware-friendly" neural networks. Natural Computing 1(2-3): 307-322 (2002)
- [j10]George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis: Globally convergent algorithms with local learning rates. IEEE Transactions on Neural Networks 13(3): 774-779 (2002)
- [j9]Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis: Deterministic nonmonotone strategies for effective training of multilayer perceptrons. IEEE Transactions on Neural Networks 13(6): 1268-1284 (2002)
- [c4]Panagiotis D. Alevizos, Basilis Boutsinas, Dimitris K. Tasoulis, Michael N. Vrahatis: Improving the Orthogonal Range Search k -Windows Algorithm. ICTAI 2002: 239-245
- [c3]Konstantinos E. Parsopoulos, Michael N. Vrahatis: Particle swarm optimization method in multiobjective problems. SAC 2002: 603-607
- 2001
- [j8]Basilis Boutsinas, Michael N. Vrahatis: Artificial nonmonotonic neural networks. Artif. Intell. 132(1): 1-38 (2001)
- 2000
- [j7]Michael N. Vrahatis, George D. Magoulas, Vassilis P. Plagianakos: Globally Convergent Modification of the Quickprop Method. Neural Processing Letters 12(2): 159-170 (2000)
- [j6]George D. Magoulas, Michael N. Vrahatis: A class of adaptive learning rate algorithms derived by one-dimensional subminimization methods. Neural Parallel & Scientific Comp. 8(2): 147-168 (2000)
- [c2]George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis: Development and Convergence Analysis of Training Algorithms with Local Learning Rate Adaptation. IJCNN (1) 2000: 21-26
- [c1]Vassilis P. Plagianakos, Michael N. Vrahatis: Training Neural Networks with Threshold Activation Functions and Constrained Integer Weights. IJCNN (5) 2000: 161-166
1990 – 1999
- 1999
- [j5]George D. Magoulas, Michael N. Vrahatis, George S. Androulakis: Improving the Convergence of the Backpropagation Algorithm Using Learning Rate Adaptation Methods. Neural Computation 11(7): 1769-1796 (1999)
- 1997
- [j4]George D. Magoulas, Michael N. Vrahatis, George S. Androulakis: Effective Backpropagation Training with Variable Stepsize. Neural Networks 10(1): 69-82 (1997)
- 1996
- [j3]Michael N. Vrahatis, Evangelia Triantafyllou: Locating, characterizing and computing the stationary points of a function. Reliable Computing 2(2): 187-193 (1996)
1980 – 1989
- 1988
- [j2]Michael N. Vrahatis: Solving systems of nonlinear equations using the nonzero value of the topological degree. ACM Trans. Math. Softw. 14(4): 312-329 (1988)
- [j1]Michael N. Vrahatis: Algorithm 666: Chabis: a mathematical software package for locating and evaluating roots of systems of nonlinear equations. ACM Trans. Math. Softw. 14(4): 330-336 (1988)
Coauthor Index
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last updated on 2013-05-29 22:25 CEST by the dblp team