| 2008 |
|---|
| 56 | EE | 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 |
|---|
| 55 | EE | Megan Olsen,
Hava T. Siegelmann:
Multi-Agent System that Attains Longevity via Death.
IJCAI 2007: 1428-1433 |
| 54 | EE | 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) |
| 53 | EE | William S. Bush,
Hava T. Siegelmann:
Circadian synchrony in networks of protein rhythm driven neurons.
Complexity 12(6): 46 (2007) |
| 2006 |
|---|
| 52 | EE | Kyle Ira Harrington,
Hava T. Siegelmann:
Adaptive Multi-modal Sensors.
50 Years of Artificial Intelligence 2006: 164-173 |
| 51 | EE | William S. Bush,
Hava T. Siegelmann:
Circadian synchrony in networks of protein rhythm driven neurons.
Complexity 12(1): 67-72 (2006) |
| 2005 |
|---|
| 50 | EE | Oscar Loureiro,
Hava T. Siegelmann:
Introducing an active cluster-based information retrieval paradigm.
JASIST 56(10): 1024-1030 (2005) |
| 2004 |
|---|
| 49 | EE | AnYuan Guo,
Hava T. Siegelmann:
Time-Warped Longest Common Subsequence Algorithm for Music Retrieval.
ISMIR 2004 |
| 48 | EE | Asa Ben-Hur,
Alexander Roitershtein,
Hava T. Siegelmann:
On probabilistic analog automata.
Theor. Comput. Sci. 320(2-3): 449-464 (2004) |
| 2003 |
|---|
| 47 | EE | Asa Ben-Hur,
Alexander Roitershtein,
Hava T. Siegelmann:
On probabilistic analog automata
CoRR cs.OH/0304042: (2003) |
| 46 | | João Pedro Guerreiro Neto,
Hava T. Siegelmann,
José Félix Costa:
Symbolic Processing in Neural Networks.
J. Braz. Comp. Soc. 8(3): 58- (2003) |
| 45 | EE | 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 |
|---|
| 44 | EE | Asa Ben-Hur,
Hava T. Siegelmann,
Shmuel Fishman:
A Theory of Complexity for Continuous Time Systems.
J. Complexity 18(1): 51-86 (2002) |
| 2001 |
|---|
| 43 | EE | Pedro Rodrigues,
José Félix Costa,
Hava T. Siegelmann:
Verifying Properties of Neural Networks.
IWANN (1) 2001: 158-165 |
| 42 | EE | Asa Ben-Hur,
Hava T. Siegelmann:
Computation in Gene Networks.
MCU 2001: 11-24 |
| 41 | EE | Tommi Jaakkola,
Hava T. Siegelmann:
Active Information Retrieval.
NIPS 2001: 777-784 |
| 40 | | Hava T. Siegelmann:
Neural Computing.
Bulletin of the EATCS 73: 107-130 (2001) |
| 39 | EE | Asa Ben-Hur,
Joshua Feinberg,
Shmuel Fishman,
Hava T. Siegelmann:
Probabilistic analysis of a differential equation for linear programming
CoRR cs.CC/0110056: (2001) |
| 38 | EE | Asa Ben-Hur,
David Horn,
Hava T. Siegelmann,
Vladimir Vapnik:
Support Vector Clustering.
Journal of Machine Learning Research 2: 125-137 (2001) |
| 2000 |
|---|
| 37 | EE | Asa Ben-Hur,
Hava T. Siegelmann,
David Horn,
Vladimir Vapnik:
A Support Vector Clustering Method.
ICPR 2000: 2724-2727 |
| 36 | | Asa Ben-Hur,
David Horn,
Hava T. Siegelmann,
Vladimir Vapnik:
A Support Vector Method for Clustering.
NIPS 2000: 367-373 |
| 35 | | Hava T. Siegelmann,
Asa Ben-Hur:
Macroscopical Molecular Computation with Gene Networks.
UMC 2000: 119-120 |
| 34 | | Hod Lipson,
Hava T. Siegelmann:
Clustering Irregular Shapes Using High-Order Neurons.
Neural Computation 12(10): 2331-2353 (2000) |
| 1999 |
|---|
| 33 | EE | Hava T. Siegelmann,
Alexander Roitershtein,
Asa Ben-Hur:
Noisy Neural Networks and Generalizations.
NIPS 1999: 335-341 |
| 32 | EE | Hava T. Siegelmann:
Stochastic Analog Networks and Computational Complexity.
J. Complexity 15(4): 451-475 (1999) |
| 31 | | Ricard Gavaldà,
Hava T. Siegelmann:
Discontinuities in Recurrent Neural Networks.
Neural Computation 11(3): 715-745 (1999) |
| 30 | EE | Hava T. Siegelmann,
Maurice Margenstern:
Nine switch-affine neurons suffice for Turing universality.
Neural Networks 12(4-5): 593-600 (1999) |
| 1998 |
|---|
| 29 | | Hod Lipson,
Hava T. Siegelmann:
High Order Eigentensors as Symbolic Rules in Competitive Learning.
Hybrid Neural Systems 1998: 286-297 |
| 28 | EE | Hava T. Siegelmann,
Shmuel Fishman:
Attractor systems and analog computation.
KES (1) 1998: 237-242 |
| 27 | | Hava T. Siegelmann,
Asa Ben-Hur,
Shmuel Fishman:
A Theory of Complexity for Continuous Time Dynamics.
MCU (1) 1998: 179-203 |
| 1997 |
|---|
| 26 | | João Pedro Guerreiro Neto,
Hava T. Siegelmann,
José Félix Costa,
Carmen Paz Suárez Araujo:
Turing Universality of Neural Nets (Revisited).
EUROCAST 1997: 361-366 |
| 25 | | 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 |
| 24 | EE | Hava T. Siegelmann:
Neural Dynamics with Stochasticity.
Summer School on Neural Networks 1997: 346-369 |
| 23 | EE | Ophir Frieder,
Hava T. Siegelmann:
Multiprocessor Document Allocation: A Genetic Algorithm Approach.
IEEE Trans. Knowl. Data Eng. 9(4): 640-642 (1997) |
| 22 | | 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) |
| 21 | | 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) |
| 20 | EE | Hava T. Siegelmann,
C. Lee Giles:
The complexity of language recognition by neural networks.
Neurocomputing 15(3-4): 327-345 (1997) |
| 1996 |
|---|
| 19 | | Hava T. Siegelmann:
Recurrent Neural Networks and Finite Automata.
Computational Intelligence 12: 567-574 (1996) |
| 18 | | Joe Kilian,
Hava T. Siegelmann:
The Dynamic Universality of Sigmoidal Neural Networks.
Inf. Comput. 128(1): 48-56 (1996) |
| 17 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Ophir Frieder,
Hava T. Siegelmann:
On the Allocation of Documents in Multiprocessor Information Retrieval Systems.
SIGIR 1991: 230-239 |
| 1 | EE | Hava T. Siegelmann,
B. R. Badrinath:
Integrating Implicit Answers with Object-Oriented Queries.
VLDB 1991: 15-24 |
