2009 | ||
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58 | Yariv Z. Levy, Dino Levy, Jerrold S. Meyer, Hava T. Siegelmann: Drug Addiction: A Computational Multiscale Model Combining Neuropsychology, Cognition and Behavior. BIOSIGNALS 2009: 87-94 | |
2008 | ||
57 | M. M. Olsen, N. Siegelmann-Danieli, Hava T. Siegelmann: Robust artificial life via artificial programmed death. Artif. Intell. 172(6-7): 884-898 (2008) | |
2007 | ||
56 | Megan Olsen, Hava T. Siegelmann: Multi-Agent System that Attains Longevity via Death. IJCAI 2007: 1428-1433 | |
55 | Fabian Roth, Hava T. Siegelmann, Rodney J. Douglas: The Self-Construction and -Repair of a Foraging Organism by Explicitly Specified Development from a Single Cell. Artificial Life 13(4): 347-368 (2007) | |
54 | William S. Bush, Hava T. Siegelmann: Circadian synchrony in networks of protein rhythm driven neurons. Complexity 12(6): 46 (2007) | |
2006 | ||
53 | Kyle Ira Harrington, Hava T. Siegelmann: Adaptive Multi-modal Sensors. 50 Years of Artificial Intelligence 2006: 164-173 | |
52 | William S. Bush, Hava T. Siegelmann: Circadian synchrony in networks of protein rhythm driven neurons. Complexity 12(1): 67-72 (2006) | |
2005 | ||
51 | Oscar Loureiro, Hava T. Siegelmann: Introducing an active cluster-based information retrieval paradigm. JASIST 56(10): 1024-1030 (2005) | |
2004 | ||
50 | AnYuan Guo, Hava T. Siegelmann: Time-Warped Longest Common Subsequence Algorithm for Music Retrieval. ISMIR 2004 | |
49 | Asa Ben-Hur, Alexander Roitershtein, Hava T. Siegelmann: On probabilistic analog automata. Theor. Comput. Sci. 320(2-3): 449-464 (2004) | |
2003 | ||
48 | Asa Ben-Hur, Alexander Roitershtein, Hava T. Siegelmann: On probabilistic analog automata CoRR cs.OH/0304042: (2003) | |
47 | João Pedro Guerreiro Neto, Hava T. Siegelmann, José Félix Costa: Symbolic Processing in Neural Networks. J. Braz. Comp. Soc. 8(3): 58- (2003) | |
46 | Asa Ben-Hur, Joshua Feinberg, Shmuel Fishman, Hava T. Siegelmann: Probabilistic analysis of a differential equation for linear programming. J. Complexity 19(4): 474-510 (2003) | |
2002 | ||
45 | Asa Ben-Hur, Hava T. Siegelmann, Shmuel Fishman: A Theory of Complexity for Continuous Time Systems. J. Complexity 18(1): 51-86 (2002) | |
2001 | ||
44 | Pedro Rodrigues, José Félix Costa, Hava T. Siegelmann: Verifying Properties of Neural Networks. IWANN (1) 2001: 158-165 | |
43 | Asa Ben-Hur, Hava T. Siegelmann: Computation in Gene Networks. MCU 2001: 11-24 | |
42 | Tommi Jaakkola, Hava T. Siegelmann: Active Information Retrieval. NIPS 2001: 777-784 | |
41 | Hava T. Siegelmann: Neural Computing. Bulletin of the EATCS 73: 107-130 (2001) | |
40 | Asa Ben-Hur, Joshua Feinberg, Shmuel Fishman, Hava T. Siegelmann: Probabilistic analysis of a differential equation for linear programming CoRR cs.CC/0110056: (2001) | |
39 | Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladimir Vapnik: Support Vector Clustering. Journal of Machine Learning Research 2: 125-137 (2001) | |
2000 | ||
38 | Asa Ben-Hur, Hava T. Siegelmann, David Horn, Vladimir Vapnik: A Support Vector Clustering Method. ICPR 2000: 2724-2727 | |
37 | Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladimir Vapnik: A Support Vector Method for Clustering. NIPS 2000: 367-373 | |
36 | Hava T. Siegelmann, Asa Ben-Hur: Macroscopical Molecular Computation with Gene Networks. UMC 2000: 119-120 | |
35 | Hod Lipson, Hava T. Siegelmann: Clustering Irregular Shapes Using High-Order Neurons. Neural Computation 12(10): 2331-2353 (2000) | |
1999 | ||
34 | Hava T. Siegelmann, Alexander Roitershtein, Asa Ben-Hur: Noisy Neural Networks and Generalizations. NIPS 1999: 335-341 | |
33 | Hava T. Siegelmann: Stochastic Analog Networks and Computational Complexity. J. Complexity 15(4): 451-475 (1999) | |
32 | Ricard Gavaldà, Hava T. Siegelmann: Discontinuities in Recurrent Neural Networks. Neural Computation 11(3): 715-745 (1999) | |
31 | Hava T. Siegelmann, Maurice Margenstern: Nine switch-affine neurons suffice for Turing universality. Neural Networks 12(4-5): 593-600 (1999) | |
1998 | ||
30 | Hod Lipson, Hava T. Siegelmann: High Order Eigentensors as Symbolic Rules in Competitive Learning. Hybrid Neural Systems 1998: 286-297 | |
29 | Hava T. Siegelmann, Shmuel Fishman: Attractor systems and analog computation. KES (1) 1998: 237-242 | |
28 | Hava T. Siegelmann, Asa Ben-Hur, Shmuel Fishman: A Theory of Complexity for Continuous Time Dynamics. MCU (1) 1998: 179-203 | |
1997 | ||
27 | João Pedro Guerreiro Neto, Hava T. Siegelmann, José Félix Costa, Carmen Paz Suárez Araujo: Turing Universality of Neural Nets (Revisited). EUROCAST 1997: 361-366 | |
26 | Daniel H. Lange, Hava T. Siegelmann, Hillel Pratt, Gideon F. Inbar: A Generic Approach for Identification of Event Related Brain Potentials via a Competitive Neural Network Structure. NIPS 1997 | |
25 | Hava T. Siegelmann: Neural Dynamics with Stochasticity. Summer School on Neural Networks 1997: 346-369 | |
24 | Ophir Frieder, Hava T. Siegelmann: Multiprocessor Document Allocation: A Genetic Algorithm Approach. IEEE Trans. Knowl. Data Eng. 9(4): 640-642 (1997) | |
23 | José L. Balcázar, Ricard Gavaldà, Hava T. Siegelmann: Computational power of neural networks: a characterization in terms of Kolmogorov complexity. IEEE Transactions on Information Theory 43(4): 1175-1183 (1997) | |
22 | Hava T. Siegelmann, Bill G. Horne, C. Lee Giles: Computational capabilities of recurrent NARX neural networks. IEEE Transactions on Systems, Man, and Cybernetics, Part B 27(2): 208-215 (1997) | |
21 | Hava T. Siegelmann, C. Lee Giles: The complexity of language recognition by neural networks. Neurocomputing 15(3-4): 327-345 (1997) | |
1996 | ||
20 | Hava T. Siegelmann: Recurrent Neural Networks and Finite Automata. Computational Intelligence 12: 567-574 (1996) | |
19 | Joe Kilian, Hava T. Siegelmann: The Dynamic Universality of Sigmoidal Neural Networks. Inf. Comput. 128(1): 48-56 (1996) | |
18 | Hava T. Siegelmann: On NIL: the Software Constructor of Neural Networks. Parallel Processing Letters 6(4): 575-582 (1996) | |
17 | Hava T. Siegelmann: The Simple Dynamics of Super Turing Theories. Theor. Comput. Sci. 168(2): 461-472 (1996) | |
1995 | ||
16 | Hava T. Siegelmann: Welcoming the Super Turing Theories. SOFSEM 1995: 83-94 | |
15 | Bill G. Horne, Hava T. Siegelmann, C. Lee Giles: What NARX Networks Can Compute. SOFSEM 1995: 95-102 | |
14 | Hava T. Siegelmann: Recurrent Neural Networks. Computer Science Today 1995: 29-45 | |
13 | Hava T. Siegelmann, Eduardo D. Sontag: On the Computational Power of Neural Nets. J. Comput. Syst. Sci. 50(1): 132-150 (1995) | |
1994 | ||
12 | Hava T. Siegelmann: Neural Programming Language. AAAI 1994: 877-882 | |
11 | Bhaskar DasGupta, Hava T. Siegelmann, Eduardo D. Sontag: On a Learnability Question Associated to Neural Networks with Continuous Activations (Extended Abstract). COLT 1994: 47-56 | |
10 | Hava T. Siegelmann: On The Computational Power of Probabilistic and Faulty Neural Networks. ICALP 1994: 23-34 | |
9 | Hava T. Siegelmann, Eduardo D. Sontag: Analog Computation via Neural Networks. Theor. Comput. Sci. 131(2): 331-360 (1994) | |
1993 | ||
8 | Hava T. Siegelmann, Ophir Frieder: Document Allocation In Multiprocessor Information Retrieval Systems. Advanced Database Systems 1993: 289-310 | |
7 | Joe Kilian, Hava T. Siegelmann: On the Power of Sigmoid Neural Networks. COLT 1993: 137-143 | |
6 | Hava T. Siegelmann, Eduardo D. Sontag: Analog Computation Via Neural Networks. ISTCS 1993: 98-107 | |
5 | José L. Balcázar, Ricard Gavaldà, Hava T. Siegelmann, Eduardo D. Sontag: Some Structural Complexity Aspects of Neural Computation. Structure in Complexity Theory Conference 1993: 253-265 | |
1992 | ||
4 | Hava T. Siegelmann, Eduardo D. Sontag: On the Computational Power of Neural Nets. COLT 1992: 440-449 | |
3 | Hava T. Siegelmann, Eduardo D. Sontag, C. Lee Giles: The Complexity of Language Recognition by Neural Networks. IFIP Congress (1) 1992: 329-335 | |
1991 | ||
2 | Ophir Frieder, Hava T. Siegelmann: On the Allocation of Documents in Multiprocessor Information Retrieval Systems. SIGIR 1991: 230-239 | |
1 | Hava T. Siegelmann, B. R. Badrinath: Integrating Implicit Answers with Object-Oriented Queries. VLDB 1991: 15-24 |