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ORCIDDolores F. De Groff
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2000 – 2009
- 2005
[j8]Tomás Vidal Arredondo, Perambur S. Neelakanta, Dolores F. De Groff:
Fuzzy attributes of a DNA complex: Development of a fuzzy inference engine for codon-"junk" codon delineation. Artif. Intell. Medicine 35(1-2): 87-105 (2005)- 2003
- [j7]Perambur S. Neelakanta, Tomás Vidal Arredondo, Dolores DeGroff:
Redundancy Attributes of a Complex System: Application to Bioinformatics. Complex Syst. 14(3) (2003) - [c1]Perambur S. Neelakanta, Shivani Pandya, Tomás Vidal Arredondo, Dolores F. De Groff:
Heuristics of AI-Based Search Engines for Massive Bioinformatic Data-Mining: An Example of Codon/Noncodon Delineation Search in a Binary DNA Sequence. IICAI 2003: 685-694
1990 – 1999
- 1998
- [j6]Perambur S. Neelakanta, Salahalddin T. Abusalah, Dolores F. De Groff, Joseph C. Park
:
Fuzzy nonlinear activity and dynamics of fuzzy uncertainty in the neural complex. Neurocomputing 20(1-3): 123-153 (1998) - 1995
- [j5]Joseph C. Park, Perambur S. Neelakanta, Salahalddin T. Abusalah, Dolores F. De Groff, Raghavan Sudhakar:
Information-theoretics Based Error-metrics for Gradient Descent Learning in Neutral Networks. Complex Syst. 9(4) (1995) - [j4]Perambur S. Neelakanta, Salahalddin T. Abusalah, Raghavan Sudhakar, Dolores F. De Groff, Valentine Aalo, Joseph C. Park:
Dynamic Properties of Neural Learning in the Information-theoretic Plane. Complex Syst. 9(5) (1995) - 1993
- [j3]Dolores F. De Groff, Perambur S. Neelakanta, Raghavan Sudhakar, Valentine Aalo:
Stochastical aspects of neuronal dynamics: Fokker-Planck approach. Biol. Cybern. 69(2): 155-164 (1993) - [j2]Dolores F. De Groff, Perambur S. Neelakanta, Raghavan Sudhakar, Fernando Medina:
A Liquid-Crystal Model for Neural Networks. Complex Syst. 7(1) (1993) - 1991
- [j1]Perambur S. Neelakanta, Raghavan Sudhakar, Dolores DeGroff:
Langevin machine: a neural network based on stochastically justifiable sigmoidal function. Biol. Cybern. 65(5): 331-338 (1991)
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