Publications


H.T. Siegelmann
Neural Networks and Analog Computation:
Beyond the Turing Limit, Birkhauser
Boston, December 1998


More information here
Hava's Book Cover Picture

Prof. Siegelmann's Theses


Ph.D. Thesis: "Foundation of Recurrent Neural Networks," Rutgers University, 1993

Master Thesis: "Document Allocation in Multiprocessor Information Retrieval Systems: An Application of Genetic Algorithms," The Hebrew University, 1992

Journal Papers, Book Chapters, and Conference Papers
Type Author Title Publication Information Date Pages/Volume/Issue Links
Jrn P. Taylor, J.N. Hobbs, J. Burroni, and H.T. Siegelmann The global landscape of cognition: hierarchical aggregation as an organizational principle of human cortical networks and functions Nature Scientific Reports 2015 5(18112); DOI: 10.1038/srep18112 url
Jrn P. Taylor, N. Bilgrien, Z. He, and H.T. Siegelmann EyeFrame: Real-time memory aid improves human multitasking via domain general eye tracking procedures Frontiers in ICT, Human-Media Interaction 2015 2(17) url
Jrn P. Taylor, Z. He, N. Bilgrien, and H.T. Siegelmann Human strategies for multitasking, search, and control improved via real-time memory aid for gaze location Frontiers in ICT, Human-Media Interaction 2015 2(15) url
H.T. Siegelmann and R. Freund Bulletin of European Association for Theoretical Computer Science EATCS 2014 number 114, pp. 265-269 pdf
Cnf A. Tal and H.T. Siegelmann Conscience mechanism in neocortical competitive learning ICCN 2013
Cpt A.S. Younger, E. Redd, H.T Siegelmann Development of Physical Super-Turing Analog Hardware Unconventional Computation and Natural Computation, Lecture Notes in Computer Science, O.H. Ibarra et al. (Eds.) 2014 379-391 text
Cpt E. Kagan, A. Rybalov, A. Sela, H. Siegelmann, and J. Steshenko Probabilistic control and swarm dynamics in mobile robots and ants Biologically-Inspired Techniques for Knowledge Discovery and Data Mining, S. A. Burki, G. Dobbie and Y. S. Koh (eds.) 2014 11-47 text
Jrn A. Tal, N. Peled, and H. T. Siegelmann Biologically inspired load balancing mechanism in neocortical competitive learning Frontiers in Neural Circuits 2014 doi: 10.3389/fncir.2014.00018 pdf
Jrn J. Cabessa, H.T. Siegelmann The Super-Turing Computational Power of Plastic Recurrent Neural Networks International Journal of Neural Systems 2014 24, 1450029 pdf
Jrn D. Nowicki, P. Verga, H.T. Siegelmann Modeling Reconsolidation in Kernel Associative Memory PLOS One 2013 8(8) e68189 pdf
Jrn H. T. Siegelmann Turing on Super-Turing and Adaptivity Progress in Biophysics and Molecular Biology 2013 S0079-6107(13)00027-8 pdf
Jrn E. Kagan, A. Rybalov, H. T. Siegelmann, and R. Yager Probability-generated aggregators International Journal of Intelligent Systems 2013 28(7): 709-727 -
Jrn J. Cabessa and H. T. Siegelmann The Computational Power of Interactive Recurrent Neural Networks Neural Computation 2012 24(4): 996-1019 pdf
Jrn Frederick C. Harris, Jr., Jeffrey L. Krichmar, Hava Siegelmann, Hiroaki Wagatsuma Biologically-Inspired Human-Robot Interactions – Developing More Natural Ways to Communicate with our Machines IEEE Transactions on Autonomous Mental Development (editorial) 2012 4(3),190-191 -
Jrn Jean-Philippe Thivierge, Ali Minai, Hava Siegelmann, Cesare Alippi, Michael Geourgiopoulos A year of neural network research: Special Issue on the 2011 International Joint Conference on Neural Networks Neural Networks (editorial) 2012 32,1-2 -
Jrn H. T. Siegelmann Addiction as a Dynamical Rationality Disorder Frontiers of Electrical and Electronic Engineering (FEE) in China 2011 1(6),151-158 pdf
Jrn H. T. Siegelmann Complex Systems Science and Brain Dynamics: A Special Topic Frontiers in Computational Neuroscience 2010 10.3389 -
Jrn L. Glass and H. T. Siegelmann Logical and symbolic analysis of robust biological dynamics Current Opinion in Genetics & Development 20 2010 644-649 -
Cnf Harrington, K. I., M. Olsen, and H. Siegelmann Computational Neuroecology of Communicated Somatic Markers Proceedings of Artificial Life XIII 2012 555-556 pdf
Cnf J. Cabessa and H.T.Siegelmann Evolving Recurrent Neural Networks are Super-Turing IJCNN 2011 2011 - -
Cnf M. Olsen, H. T. Siegelmann Multiscale Agent-Based Model for Tumor Angiogenesis International Conference on Computational Science (ICCS) 2013 1016-1025 pdf
Cnf K. Tu, M. Olsen, H. T. Siegelmann CIM for Improved Language Understanding Tenth International Symposium on Logical Formalization on Commonsense Reasoning 2011 - -
Cnf K. Harrington, M. Olsen, H. T. Siegelmann Communicated Somatic Markers Benefit Both the Individual and the Species International Joint Conference on Neural Networks 2011 - -
Cnf M. Olsen, K. Harrington, H. T. Siegelmann Computational Emotions in a Population Dynamics Cellular Automata Encourage Collective Behavior International Conference on Complex Systems 2011 - -
Jrn M.M. Olsen, K. Harrington, H. T. Siegelmann Conspecific Emotional Cooperation Biases Population Dynamics: A Cellular Automata Approach International Journal of Natural Computing Research 2010 51-65 pdf
Cnf Kun Tu, Hava Siegelmann Memory Model for Text Reasoning Northeast Student Conference on Artificial Intelligence (NESCAI) 2010 - -
Cnf M.M. Olsen Multi-Agent Fault Tolerance Inspired by a Computational Analysis of Cancer Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI) 2010 - pdf
Cnf M.M. Olsen Multi-Agent Fault Tolerance Inspired by a Computational Analysis of Cancer Proceedings of the Grace Hopper Celebration of Women in Computing (PhD Forum) 2010 - -
Cnf M. Olsen, R. Sitaraman, N. Siegelmann-Danieli, H.T. Siegelmann Mathematical and computational models for cellular space in cancer growth Proceedings of the Annual Meeting of the American Association for Cancer Research 2010 - -
Jrn H.T. Siegelmann and L.E. Holzman Neuronal integration of dynamic sources: Bayesian learning and Bayesian inference Chaos 20 2010 037112 pdf
Jrn D.V. Nowicki, H.T. Siegelmann Flexible Kernel Memory PLOS One 5(6) 2010 e10955 pdf
Jrn M.M. Olsen, N. Siegelmann-Danieli, H.T. Siegelmann Dynamic Computational Model Suggests that Cellular Citizenship is Fundamental for Selective Tumor Apoptosis PLOS One 5(5) 2010 e10637 pdf
Jrn K. Tu, D. Cooper, H.T. Siegelmann Memory reconsolidation for natural language processing Cogn Neurodyn 3 2009 365-372 pdf
Jrn A. Z. Pietrzykowski, R. M. Friesen, G. E. Martin, S.I. Puig, C. L. Nowak, P. M. Wynne, H. T. Siegelmann, S. N. Treistman Post-transcriptional regulation of BK channel splice variant stability by miR-9 underlies neuroadaptation to alcohol Neuron 59(2) 2008 274-287 pdf
Jrn Lu, S., Becker, K.A., Hagen, M.J., Yan, H., Roberts, A.L., Mathews, L.A., Schneider, S.S., Siegelmann, H.T., Tirrell, S.M., MacBeth, K.J., Blanchard, J.L. and Jerry, D.J. Transcriptional responses to estrogen and progesterone in Mammary gland identify networks regulating p53 activity Endocrinology 2008 - pdf
Jrn H.T. Siegelmann Analog-Symbolic Memory that Tracks via Reconsoliation Physica D 237(9) 2008 1207-1214 pdf
Jrn M.M. Olsen, N. Siegelmann-Danieli and H.T. Siegelmann Robust Artificial Life Via Artificial Programmed Death Artificial Intelligence 172(6-7) 2008 884-898 pdf
Jrn F. Roth, H.T. Siegelmann and R. J. Douglas The Self-Construction and -Repair of a Foraging Organism by Explicitly Specified Development from a Single Cell Artificial Life 13(4) 2007 347-368 pdf
Jrn S. Sivan, O. Filo and H. Siegelman Application of Expert Networks for Predicting Proteins Secondary Structure Biomolecular Engineering, Volume 24, Issue 2 2007 237-243 pdf
Jrn W. Bush and H.T. Siegelmann Circadian Synchrony in Networks of Protein Rhythm Driven Neurons Complexity Volume 12, Issue 1 2006 67-72 pdf
Jrn T. Leise and H Siegelmann Dynamics of a multistage circadian system Journal of Biological Rhythms, 21:4 2006 314-323 pdf
Jrn L. Glass, T. J. Perkins, J. Mason, H. T. Siegelmann and R. Edwards Chaotic Dynamics in an Electronic Model of a Genetic Network Journal of Statistical Physics Volume 121 Numbers 5/6 2005 969-994 pdf
Jrn Loureiro, O. and Siegelmann, H. Introducing an Active Cluster-Based Information Retrieval Paradigm Journal of the American Society for Information Science and Technology, vl 56, n. 10 2005 1024-1030 pdf
Jrn A. Roitershtein, A. Ben-Hur and H.T. Siegelmann On Probabilistic Analog Automata Theoretical Computer Science, 320(2-3) 2004 449-464 pdf
Jrn A. Ben-Hur, H.T. Siegelmann Computation in Gene Networks Chaos: An Interdisciplinary Journal of Nonlinear Science, 14(1) 2004 145-151 pdf
Jrn A. Ben-Hur, J. Feinberg, S. Fishman and H. T. Siegelmann Random matrix theory for the analysis of the performance of an analog computer: a scaling theory Phys. Lett. A. 323(3-4) 2004 204-209 pdf
Jrn A. Ben-Hur, J. Feinberg, S. Fishman and H. T. Siegelmann Probabilistic analysis of a differential equation for linear programming Journal of Complexity, 19(4) 2003 474-510 pdf
Jrn J. P. Neto, H. T. Siegelmann, and J. F. Costa Symbolic processing in neural networks Journal of the Brazilian Computer Society, 8(3) 2003 - pdf
Jrn S. Eldar, H. T. Siegelmann, D. Buzaglo, I. Matter, A. Cohen, E. Sabo, J. Abrahamson Conversion of Laparoscopic Cholecystectomy to open cholecystectomy in acute cholecystitis: Artificial neural networks improve the prediction of conversion World Journal of Surgery, 26(1) 2002 79-85 pdf
Jrn A. Ben-Hur, H.T. Siegelmann and S. Fishman. A Theory of Complexity for Continuous Time Systems. Journal of Complexity 18(1) 2002 51-86 pdf
Jrn H.T. Siegelmann Neural and Super-Turing Computing Minds and Machines 13(1) 2003 103-114 pdf
Jrn A. Ben-Hur, D. Horn, H.T. Siegelmann and V. Vapnik Support Vector Clustering Journal of Machine Learning Research 2 2001 125-137 pdf
Jrn H.T. Siegelmann A., Ben-Hur, S. Fishman Comments on Attractor Computation International Journal of Computing Anticipatory Systems, D.M. Dubois, ed. 2000 - pdf
Jrn R. Edwards, H.T. Siegelmann, K. Aziza and L. Glass Symbolic dynamics and computation in model gene networks Chaos 11(1) 2001 160-169 pdf
Jrn H. Lipson and H.T. Siegelmann Clustering Irregular Shapes Using High-Order Neurons Neural Computation 12(10) 2000 2331-2353 pdf
Jrn D. Lange, H.T. Siegelmann, H. Pratt, and G.F. Inbar Overcoming Selective Ensemble Averaging: Unsupervised Identification of Event-Related Brain Potentials IEEE Transactions on Biomedical Engineering, 47(6) 2000 822-826 pdf
Jrn H. Karniely and H.T. Siegelmann Sensor Registration Using Neural Networks IEEE Transactions on Aerospace and Electronic Systems, 36(1) 2000 85-98 pdf
Jrn H.T. Siegelmann, Stochastic Analog Networks and Computational Complexity Journal of Complexity, 15(4) 1999 451-475 pdf
Jrn H.T. Siegelmann, A. Ben-Hur and S. Fishman Computational Complexity for Continuous Time Dynamics Physical Review Letters, 83(7) 1999 1463-1466 pdf
Jrn H.T. Siegelmann and M. Margenstern Nine Switch-Affine Neurons Suffice for Turing Universality Neural Networks, 12 1999 593-600 pdf
Jrn R. Gavaldà and H.T. Siegelmann Discontinuities in Recurrent Neural Networks Neural Computation, 11(3) 1999 715-745 pdf
Jrn H.T. Siegelmann and S. Fishman Analog Computation with Dynamical Systems Physica D, 120 1998 120--214 pdf
Jrn A. Galperin, Y. Kimhi, E. Nissan, and H.T. Siegelmann FUELCON's Heuristics, their Rationale, and their Representations The New Review of Applied Expert Systems, 4 1998 163-176 abstract
Jrn Joachim Utans, John Moody, Steve Rehfuss, and Hava Siegelmann Input Variable Selection for Neural Networks: Application to Predicting the U.S. Business Cycle Proceedings of Computational Intelligence in Financial Engineering, IEEE Press 1995 118-122 pdf
Jrn H.T. Siegelmann, E. Nissan, and A. Galperin A Novel Neural/Symbolic Hybrid Approach to Heuristically Optimized Fuel Allocation and Automated Revision of heuristics in Nuclear Engineering Advances in Engineering Software, 28(9) 1997 581-592 pdf
Jrn J.L. Balcázar, R. Gavaldà, and H.T. Siegelmann Computational Power of Neural Networks: A Characterization in Terms of Kolmogorov Complexity IEEE Transactions on Information Theory, 43(4) 1997 1175-1183 pdf
Jrn H.T. Siegelmann, B.G. Horne, and C.L.Giles Computational Capabilities of Recurrent NARX Neural Networks IEEE Transaction on Systems, Man and Cybernetics-part B: Cybernetics, 27(2) 1997 208-215 pdf
Jrn E. Nissan, H.T. Siegelmann, A. Galperin, and S. Kimhi, Upgrading Automation for Nuclear Fuel In-Core Management: From the Symbolic Generation of Configurations, to the Neural Adaptation of Heuristics, Engineering with Computers, 13(1) 1997 1-19 pdf
Jrn O. Frieder and H.T. Siegelmann Multiprocessor Document Allocation: A Genetic Algorithm Approach IEEE Transactions on Knowledge and Data Engineering, 9(4) 1997 640-642 pdf
Jrn H.T. Siegelmann and C.L. Giles The Complexity of Language Recognition by Neural Networks Journal of Neurocomputing; Special Issue Recurrent Networks for Sequence Processing, Editors: M. Gori, M. Mozer, A.H. Tsoi, W. Watrous, 15(3-4) 1997 327-345 pdf
Jrn H.T. Siegelmann, On NIL: The Software Constructor of Neural Networks Parallel Processing Letters, 6(4) 1996 575-582 abstract
Jrn H.T. Siegelmann The Simple Dynamics of Super Turing Theories Theoretical Computer Science, 168(2)(special issue on UMC) 1996 461-472 pdf
Jrn H.T. Siegelmann Recurrent Neural Networks and Finite Automata Journal of Computational Intelligence, 12(4) 1996 567-574 pdf
Jrn J. Kilian and H.T. Siegelmann The Dynamic Universality of Sigmoidal Neural Networks Information and Computation, 128(1) 1996 45-56 pdf
Jrn H.T. Siegelmann Analog Computational Power Science, 271(19) 1996 - pdf
Jrn B. DasGupta, H.T. Siegelmann and E. Sontag On the Complexity of Training Neural Networks with Continuous Activation Functions IEEE Transactions on Neural Networks, 6(6) 1995 1490-1504 pdf
Jrn H.T. Siegelmann Computation Beyond the Turing Limit Science, 238(28) 1995 - pdf
Jrn H.T. Siegelmann and E.D. Sontag On the Computational Power of Neural Nets, Journal of Computer System Sciences, 50(1) 1995 132-150 pdf
Jrn H.T. Siegelmann and E.D. Sontag Analog Computation via Neural Networks Theoretical Computer Science, 131 1994 331-360 pdf
Jrn H.T. Siegelmann and E.D. Sontag Turing Computability with Neural Nets Applied Mathematics Letters, 4(6) 1991 77-80 pdf
Cpt H.T. Siegelmann Super Turing As a Cognitive Reality (Chapter 21) Consciousness: Its Nature and Functions, Shulamith Kreitler and Oded Maimon (eds) 2012 - -
Cpt K.I. Harrington and H.T. Siegelmann Adaptive Multi-modal Sensors 50 Years of Artificial Intelligence, eds. M. Lungarella, F. Iida, J. Bongard, R. Pfeifer 2007 164-173 pdf
Cpt Bhaskar DasGupta, Derong Liu and Hava Siegelmann Neural Networks Handbook on Approximation Algorithms and Metaheuristics, ed. Teofilo F. Gonzalez, Chapman & Hall/CRC (Computer & Information Science Series, ed. Sartaj Sahni) 2007 22.1-22.14 -
Cpt H. T. Siegelmann Neural Computing New Trends in Computer Science, ed. Gheroge Paul 2003 - -
Cpt H.T. Siegelmann Neural Automata and Computational Complexity in Handbook of Brain Theory and Neural Networks, ed. Michael A. Arbib 2002 - -
Cpt H.T. Siegelmann Universal Computation and Super-Turing Capabilities Field Guide to Dynamical Recurrent Networks, eds. S.C. Kremer and J.F. Kolen, IEEE Press 2000 - -
Cpt H.T. Siegelmann Finite vs. Infinite Descriptive Length in Neural Networks and the Associated Computational Complexity Finite vs. Infinite: Contributions to an Eternal Dilemma, eds. C. Calude and Gh. Paun, Springer Verlag 2000 - -
Cpt H.T. Siegelmann Neural Automata and Computational Complexity Handbook of Brain Theory and Neural Networks, ed. Michael A. Arbib 2000 - -
Cpt H. Lipson and H.T. Siegelmann High Order Eigentensors as Symbolic Rules in Competitive Learning Hybrid Neural Symbolic Integration, eds. S. Wermter and R. Sun, Springer 1999 - -
Cpt H.T. Siegelmann Neural Dynamics with Stochasticity Adaptive Processing of Sequences and Data Structures, eds. C.L. Giles and M. Gori, Springer 1998 346-369 pdf
Cpt H.T. Siegelmann Computability with Neural Networks Lectures in Applied Mathematics, Vol. 32, J. Reneger, eds. M. Shub, and S. Smale, American Mathematical Society 1996 733-747 -
Cpt H.T. Siegelmann Neural Automata Shape, Structures and Pattern Recognition, eds. D. Dori and F. Bruckstein, World Scientific 1995 - -
Cpt H.T. Siegelmann Towards a Neural Programming Language Shape, Structures and Pattern Recognition, eds. D. Dori and F. Bruckstein, World Scientific 1995 - -
Cpt H.T. Siegelmann Recurrent Neural Networks The 1000th Volume of Lecture Notes in Computer Science: Computer Science Today, ed. Jan Van Leeuwen, Springer Verlag 1995 29-45 -
Cpt H.T. Siegelmann Welcoming the Super-Turing theories Lecture Notes in Computer Science, Vol. 1012, eds. M. Bartosek, J. Staudek, J. Wiedermann, Springer Verlag 1995 83-94 -
Cpt H.T. Siegelmann, B.G. Horne, and C.L. Giles What NARX Networks Can Compute Lecture Notes in Computer Science: Theory and Practice of Informatics, Vol. 1012, eds. M. Bartosek, J. Staudek, J. Wiedermann, Springer Verlag 1995 95-102 -
Cpt B. DasGupta, H.T. Siegelmann, and E. Sontag On the Intractability of Loading Neural Networks Theoretical Advances in Neural Computation and Learning, eds. V.P. Roychowdhury, K.Y. Siu, and A. Orlitsky, Kluwer Academic Publishers 1994 - -
Cpt H.T. Siegelmann On the Computational Power of Probabilistic and Faulty Neural Networks Lecture Notes in Computer Science, Vol. 820: Automata, Languages and Programming, eds. S. Abiteboul and E. Shamir, Springer Verlag 1994 20-34 -
Cpt H.T. Siegelmann and O. Frieder Document Allocation in Multiprocessor Information Retrieval Systems Lecture Notes in Computer Science, Vol. 759: Advanced Database Concepts and Research Issues, eds. N.R. Adam and B. Bhargava, Springer Verlag 1993 289-310 -
Cnf M. Olsen, N. Siegelmann-Danieli, H. Siegelmann Computational Modeling Reveals the Crucial Role of Cellular Citizenship in Selective Tumor Apoptosis CSB2 Systems Biology of Human Diseases 2009 - -
Cnf Y.Z. Levy, D. Levy, J.S. Meyer, H.T. Siegelmann Drug Addiction: a computational multiscale model combining neuropsychology, cognition, and behavior International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS 2009) 2009 - -
Cnf Y.Z. Levy, D. Levy, J.S. Meyer, H.T. Siegelmann Drug Addiction as a Non-monotonic Process: a Multiscale Computational Model 13th International Conference on Biomedical Engineering (ICBME 2008) 2008 - -
Cnf David G Cooper, Dov Katz, Hava T. Siegelmann Emotional Robotics: Tug of War AAAI Spring Symposium on Emotion, Personality and Social Behavior 2008 - pdf
Cnf Megan M. Olsen, Kyle T. Harrington, Hava T. Siegelmann Emotions for Strategic Real-Time Systems AAAI Spring Symposium on Emotion, Personality and Social Behavior 2008 - pdf
Cnf David G Cooper, Dov Katz, Hava T. Siegelmann Emotional Robotics: Tug of War New England Student Conference on Artificial Intelligence(NESCAI) 2008 - pdf
Cnf Megan M. Olsen, Kyle Harrington, Hava T. Siegelmann Utilizing Emotions in Strategic Real-Time Artificial Intelligence New England Student Conference on Artificial Intelligence(NESCAI) 2008 - pdf
Cnf Megan M. Olsen, Hava T. Siegelmann A Multi-agent System that Attains Longevity Via Death New England Student Conference on Artificial Intelligence(NESCAI) 2007 - pdf
Cnf M. Olsen and H. Siegelmann Multi-Agent System that Attains Longevity via Death Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI) 2007 - pdf
Cnf L. Holzman and H. Siegelmann Input-Driven Dynamic Attractors Computational and Systems Neuroscience, Salt Lake City 2007 - pdf
Cnf L. Holzman and H. Siegelmann Exact Neural Inference over Graphical Models Computational and Systems Neuroscience Salt Lake City 2007 - pdf
Cnf M. Olsen and H. Siegelmann Artificial Death for Attaining System Longevity Proceedings of the 50th Anniversary Summit of Artificial Intelligence Summit, Switzerland 2006 217-218 pdf
Cnf Kyle Harrington and Hava Siegelmann Adaptive Multi-Modal Sensors Proceedings of the 50th Anniversary Summit of Artificial Intelligence Summit, Switzerland 2006 - pdf
Cnf Will Bush and Hava Siegelmann Genetic Clock Oscillator Neural Networks Computational Neural systems, Salt Lake City 2005 - abstract
Cnf AnYuan Guo and Hava Siegelmann Time-Warped Longest Common Subsequence Algorithm for Music Retrieval International Conference on Music Information Retrieval (ISMIR'04) 2004 - pdf
Cnf Eric Bittman, Yossi Chait, C.V. Hollot, M. Harrington and H. Siegelmann Is the Mammalian Circadian Clock a Resonant-Circuit Oscillator? Society for Research on Biological Rhythms, Whistler, BC 2004 - -
Cnf Yanhong Tong and Hava Sieglemann Simulation mammalian molecular circadian oscillators by dynamic gene network Eighth Annual International Conference on Research in Computational Molecular Biology 2004 - -
Cnf Shaolei Lu, AnYuan Guo, Klaus Becker, Hava Siegelmann, Paola Sebastiani, Kyle MacBeth, Joseph Jerry Microarray Analysis of Global Gene Expression in the Mammary Gland Following Estrogen and Progesterone Treatment of Ovariectomized Mice, Second Annual AACR International Conference on Frontiers in Cancer Prevention Research, Phoenix, Arizona 2003 - -
Cnf T. Jaakkola and H. Siegelmann Active information retrieval Advances in Neural Information Processing Systems 14 2001 - pdf
Cnf Pedro Rodrigues, Jose Felix Costa, Hava T. Siegelmann Verifying Properties of Neural Networks IWANN (1) 2001 158-165 pdf
Cnf A. Ben-Hur and H.T. Siegelmann Computation in Gene Networks MCU 2001, LNCS 2055, eds. M. Margenstern and Y. Rogozhin 2001 11-24 pdf
Cnf D. Horn, I. Opher, M. Epstein and H. T. Siegelmann Clustering of Documents using Latent Semantic Analysis Proceedings of the DAS2000, Rio 2000 - -
Cnf A. Ben-Hur, D. Horn, H.T. Siegelmann and V. Vapnik A Support Vector Method for Hierarchical Clustering Fourteenth Annual Conference on Neural Information Processing Systems, Denver, Colorado 2000 - pdf
Cnf A. Ben-Hur, D. Horn, H.T. Siegelmann and V. Vapnik A Support Vector Method for Clustering Proceedings of the 15th International Conference on Pattern Recognition (ICPR) 2000 728-731 pdf
Cnf H.T. Siegelmann, A. Roitershtein, and A. Ben-Hur Noisy Neural Networks and Generalizations Proceedings of Thirteenth Annual Conference on Neural Information Processing Systems, Denver, Colorado 1999 - pdf
Cnf H.T. Siegelmann, A. Ben-Hur, and S. Fishman Computational Complexity for Continuous Time Dynamics Proceedings of Third International Conference on Computing Anticipatory Systems (CASYS'99), Liege, Belgium 1999 - -
Cnf Hod Lipson, Hava T. Siegelmann High Order Eigentensors as Symbolic Rules in Competitive Learning Hybrid Neural Systems 2000 286-297 pdf
Cnf H.T. Siegelmann and S. Fishman Attractor Systems and Analog Computation Proceedings of the Second International Conference on Knowledge-Based Intelligent Electronic Systems (KES'98), Adelaide, Australia 1998 - pdf
Cnf H. Lipson, Y. Hod, and H.T. Siegelmann High-Order Clustering Metrics for Competitive Learning Neural Networks Proceedings of the Israel-Korea Bi-National Conference on New Themes in Computer Aided Geometric Modeling, Tel-Aviv, Israel 1998 - -
Cnf D. Lange, G.F. Inbar, H. Pratt, and H.T. Siegelmann Unsupervised Identification of Event-Related Brain Potentials via Competitive Learning IEEE Engineering in Medicine and Biology Society, Vol 20, No 3 1998 1329-1332 pdf
Cnf J.P. Neto, H.T. Siegelmann, and J.F. Costa Turing Universality of Neural Nets Revisited Proceedings of the Sixth International Conference on Computer Aided Systems Technology (EUROCAST'97). Lecture Notes in Computer Science (LNCS) 1333, eds. Franz Pichler and Roberto Moreno-Diaz 1997 361-366 pdf
Cnf D.H. Lange, H.T. Siegelmann, H. Pratt, and G.F. Inbar A Generic Approach for Identification of Event Related Brain Potentials via a Competitive Neural Network Structure Proceedings of the International Conference on Neural Information Proceeding (NIPS), Denver, Colorado 1997 - pdf
Cnf Y. Finkelstein and H.T. Siegelmann A Stochastic Model to Study Degenerative Disorders in the Central Nervous System The Israel Neurological Association Annual Meeting, Zichron-Yaakov 1997 - -
Cnf H.T. Siegelmann and S. Fishman Computation by Dynamical Systems Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics 1997 - pdf
Cnf H.T. Siegelmann, A. Ofri, and H. Guterman Applying Modular Networks and Fuzzy Logic controllers to nonlinear Flexible Structures Proceedings of the IEEE International Conference on Fuzzy Logic 1997 - pdf
Cnf J.P. Neto, H.T. Siegelmann, and J.F. Costa Implementation of Programming Languages with Neural Nets Proceedings of the First International Conference on Computing Anticipatory Systems (CASYS'97), HEC, Liege, Belgium 1997 - -
Cnf G. Arieli and H.T. Siegelmann ANN Approach vs. the Symbolic Approach in AI Proceedings of the Thirteenth Israeli Conference on Artificial Intelligence and Computer Vision (IAICV'97), Tel-Aviv 1997 - -
Cnf H.T. Siegelmann Recurrent Neural Networks AMS Proceedings, Park-City, 8 1995 - -
Cnf Hava T. Siegelmann Welcoming the Super Turing Theories SOFSEM 1995 - -
Cnf Bill G. Horne, Hava T. Siegelmann, C. Lee Giles What NARX Networks Can Compute SOFSEM 1995 95-102 -
Cnf H.T. Siegelmann Recurrent Neural Networks and Finite Automata Proceedings of the Twelfth International Conference on Pattern Recognition 1994 - -
Cnf E. Nissan, H.T. Siegelmann, and A. Galperin An Integrated Symbolic and Neural Network Architecture for Machine Learning in the domain of Nuclear Engineering Proceedings of the Twelfth International Conference on Pattern Recognition 1994 - pdf
Cnf E. Nissan, H.T. Siegelmann, A. Galperin, and S. Kimhi Towards Full Atomization of the Discovery of Heuristics in a Nuclear Engineering Project: Integration with a Neural Information Language Proceedings of the Eight International Symposium on Methodologies for Intelligent Systems 1994 - -
Cnf H.T. Siegelmann Neural Programming Language Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94), Vol 2. AAAI Press/The MIT Press 1994 877-882 -
Cnf B. DasGupta, H.T. Siegelmann, and E. Sontag On a Learnability Question Associated to Neural Networks with Continuous Activations Proceedings of the Sixth ACM Workshop on Computational Learning (COLT), New Brunswick NJ 1994 - pdf
Cnf H.T. Siegelmann On the Computational Power of Probabilistic and Faulty Neural Networks Proceedings of the International Colloquium on Automata, Languages, and Programming (ICALP) 1994 - -
Cnf J. Kilian and H.T. Siegelmann On the Power of Sigmoid Neural Networks Proceedings of the Fifth ACM Workshop on Computational Learning (COLT), Santa Cruz 1993 137-143 pdf
Cnf Hava T. Siegelmann, Ophir Frieder Document Allocation In Multiprocessor Information Retrieval Systems Advanced Database Systems 1993 289-310 -
Cnf H.T. Siegelmann and E.D. Sontag Analog Computation via Neural Networks Proceedings of the Second Israel Symposium on Theory of Computing and Systems (ISTCS), Natanya, Israel 1993 98-107 pdf
Cnf J.L. Balcázar, R. Gavalda, JH.T. Siegelmann, and E.D. Sontag Some Structural Complexity Aspects of Neural Computation Proceedings of the IEEE Conference on Structure in Complexity Theory, San Diego, California 1993 253-265 pdf
Cnf H.T. Siegelmann and E.D. Sontag Some Recent Results on Computing with 'Neural Nets' Proceedings of the IEEE Conference on Decision and Control, Tucson, Arizona 1992 1476-1481 pdf
Cnf H.T. Siegelmann and E.D. Sontag On the Computational Power of Neural Nets Proceedings of the Fifth ACM Workshop on Computational Learning Theory (COLT), Pittsburgh, Penn. 1992 440-449 pdf
Cnf H.T. Siegelmann, E.D. Sontag, and C.L. Giles The Complexity of Language Recognition by Neural Networks Algorithms, Software, Architecture, ed. J. van Leuwen, North Holland, Amsterdam (Proceedings of the Twelfth IFIP World Computer Congress) 1992 329-335 -
Cnf H.T. Siegelmann and O. Frieder The Allocation of Documents in Multiprocessor Information Retrieval Systems: An Application of Genetic Algorithms Proceedings of the IEEE Conference on Systems, Man, and Cybernetics, Charlottesville, Virginia 1991 - pdf
Cnf O. Frieder and H.T. Siegelmann On the Allocation of Documents in Multiprocessor Information Retrieval Systems Proceedings of the ACM Fourteenth Conference on Information Retrieval (SIGIR), Chicago, Illinois 1991 - pdf
Cnf H.T. Siegelmann and B.R. Badrinath Integrating Implicit Answers with Object-Oriented Queries Proceedings of the Conference on Very Large Data Bases, Barcelona, Spain 1991 - pdf