Hava Siegelmann

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Asa Ben-HurComputer Science, Colorado State UniversityVerified email at cs.colostate.edu
Eduardo SontagNortheastern University ECE and BioEVerified email at northeastern.edu
vapnikProfessor of Columbia, Fellow of NEC Labs America, Verified email at nec-labs.com
Megan M. OlsenLoyola University MarylandVerified email at loyola.edu
C Lee GilesPennsylvania State UniversityVerified email at psu.edu
Bill HornePrincipal Product Manager, AWS CryptographyVerified email at amazon.com
Leon GlassProfessor of Physiology, McGill UniversityVerified email at mcgill.ca
Kyle HarringtonGroup Leader, Max Delbrueck Center for Molecular MedicineVerified email at mdc-berlin.de
Bhaskar DasGuptaProfessor of Computer Science, University of Illinois at ChicagoVerified email at uic.edu
Dino LevyAssistant Professor of Neuroeconomics and NeuromarketingVerified email at post.tau.ac.il
Ricard GavaldàUniversitat Politècnica de CatalunyaVerified email at cs.upc.edu
Jose L. BalcazarProfessor, Computer Science, Universitat Politècnica de CatalunyaVerified email at upc.edu
João Pedro NetoLASIGE, Dep. de Informática, Faculdade de Ciências, Universidade de Lisboa, PortugalVerified email at fc.ul.pt
Joshua FeinbergUniversity of Haifa and TechnionVerified email at physics.technion.ac.il
Dmitry NowickiUMASS Amherst, Computer Science DeptVerified email at cs.umass.edu
Hod LipsonProfessor of Mechanical Engineering, Columbia UniversityVerified email at columbia.edu
Cesare AlippiPolitecnico di MilanoVerified email at elet.polimi.it
Ah Chung TsoiEmeritus Professor, University of WollongongVerified email at uow.edu.au
Theodore J. PerkinsOttawa Hospital Research InstituteVerified email at ohri.ca
Pat VergaResearch Scientist GoogleVerified email at google.com

Hava Siegelmann

Professor of Computer Science, and Brain Sciences, UMass Amherst

Verified email at cs.umass.edu

AI Computational Neuroscience Computational Biology


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Support vector clustering A Ben-Hur, D Horn, HT Siegelmann, V Vapnik Journal of machine learning research 2 (Dec), 125-137, 2001	1781	2001
On the computational power of neural nets HT Siegelmann, ED Sontag Journal of computer and system sciences 50 (1), 132-150, 1995	1063	1995
Neural networks and analog computation: beyond the Turing limit HT Siegelmann Springer Science & Business Media, 2012	662	2012
Analog computation via neural networks HT Siegelmann, ED Sontag Theoretical Computer Science 131 (2), 331-360, 1994	515	1994
Computational capabilities of recurrent NARX neural networks HT Siegelmann, BG Horne, CL Giles IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 27 …, 1997	468	1997
Turing computability with neural nets HT Siegelmann, ED Sontag Applied Mathematics Letters 4 (6), 77-80, 1991	468	1991
Computation beyond the Turing limit HT Siegelmann Science 268 (5210), 545-548, 1995	374	1995
Posttranscriptional regulation of BK channel splice variant stability by miR-9 underlies neuroadaptation to alcohol AZ Pietrzykowski, RM Friesen, GE Martin, SI Puig, CL Nowak, PM Wynne, ... Neuron 59 (2), 274-287, 2008	348	2008
A support vector clustering method A Ben-Hur, D Horn, HT Siegelmann, V Vapnik Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000	153	2000
The dynamic universality of sigmoidal neural networks J Kilian, HT Siegelmann Information and computation 128 (1), 48-56, 1996	132	1996
Symbolic dynamics and computation in model gene networks R Edwards, HT Siegelmann, K Aziza, L Glass Chaos: An Interdisciplinary Journal of Nonlinear Science 11 (1), 160-169, 2001	120	2001
A support vector method for clustering A Ben-Hur, D Horn, HT Siegelmann, V Vapnik Advances in Neural Information Processing Systems, 367-373, 2001	113	2001
Analog computation with dynamical systems HT Siegelmann, S Fishman Physica D: Nonlinear Phenomena 120 (1-2), 214-235, 1998	93	1998
Neural and super-Turing computing HT Siegelmann Minds and Machines 13 (1), 103-114, 2003	85	2003
The global landscape of cognition: hierarchical aggregation as an organizational principle of human cortical networks and functions P Taylor, JN Hobbs, J Burroni, HT Siegelmann Scientific reports 5 (1), 1-18, 2015	76	2015
A theory of complexity for continuous time systems A Ben-Hur, HT Siegelmann, S Fishman journal of complexity 18 (1), 51-86, 2002	70	2002
Computational power of neural networks: A characterization in terms of Kolmogorov complexity JL Balcázar, R Gavalda, HT Siegelmann IEEE Transactions on Information Theory 43 (4), 1175-1183, 1997	67	1997
Input variable selection for neural networks: Application to predicting the US business cycle J Utans, J Moody, S Rehfuss, H Siegelmann Proceedings of 1995 Conference on Computational Intelligence for Financial …, 1995	65	1995
Sensor registration using neural networks H Karniely, HT Siegelmann IEEE Transactions on Aerospace and Electronic systems 36 (1), 85-101, 2000	64	2000
On the complexity of training neural networks with continuous activation functions B DasGupta, HT Siegelmann, E Sontag IEEE Transactions on Neural Networks 6 (6), 1490-1504, 1995	64	1995

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