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ORCIDPeter Bock
Person information
- affiliation: George Washington University, Washington, D.C., USA
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2020 – today
- 2021
[j5]Michael Pickles
, Anne Cori, William J. M. Probert, Rafael Sauter, Robert Hinch, Sarah Fidler, Helen Ayles, Peter Bock, Deborah Donnell, Ethan Wilson, Estelle Piwowar-Manning, Sian Floyd, Richard J. Hayes, Christophe Fraser, HPTN 071 (PopART) Study Team:
PopART-IBM, a highly efficient stochastic individual-based simulation model of generalised HIV epidemics developed in the context of the HPTN 071 (PopART) trial. PLoS Comput. Biol. 17(9) (2021)
2010 – 2019
- 2013
- [c24]Aleksandar Stefanovski, Peter Bock:
Team-based Learning and Leadership Effect in Multi-agent System of Mixed Personalities. Complex Adaptive Systems 2013: 177-182 - 2010
- [c23]Erhan Guven, Peter Bock:
Speech Emotion Recognition using a backward context. AIPR 2010: 1-5
2000 – 2009
- 2007
- [c22]David Portnoy, Peter Bock:
Automatic extraction of the multiple semantic and syntactic categories of words. Artificial Intelligence and Applications 2007: 549-554 - [c21]Alice Armstrong, Peter Bock:
Using Tactic-Based Learning (formerly Mentoring) to Accelerate Recovery of an Adaptive Learning System in a Changing Environment. AIPR 2007: 31-36 - [c20]Carsten Oertel, Peter Bock:
General Shape Generation by Contouring Fractals and Applying Linear Boundary Regression. AIPR 2007: 111-116 - 2006
- [c19]Carsten Oertel, Peter Bock:
Identification of Objects-of-Interest in X-Ray Images. AIPR 2006: 17 - [c18]Teddy Ko, Peter Bock:
Viewpoint-Invariant and Illumination-Invariant Classification of Natural Surfaces Using General-Purpose Color and Texture Features with the ALISA dCRC Classifier. AIPR 2006: 26 - 2005
- [c17]Antonio Sánchez, Raul Diaz, Peter Bock:
A CLS Hierarchy for the Classification of Images. MICAI 2005: 369-378 - 2004
- [c16]David Portnoy, Peter Bock:
Unsupervised Fuzzy-Membership Estimation of Terms in Semantic and Syntactic Lexical Classes. AIPR 2004: 95-100 - 2001
- [j4]Mark D. Happel, Peter Bock:
Overriding the Experts: A Fusion Method for Combining Marginal Classifiers. Int. J. Artif. Intell. Tools 10(1-2): 157-179 (2001) - [c15]Teddy Ko, Peter Bock:
Face Detection and Eye Location Using a Modified ALISA Texture Module. AIPR 2001: 187-193 - 2000
- [c14]Glen Becker, Peter Bock:
Shape Classification Using a Radial Feature Token. AIPR 2000: 47-53 - [c13]Teddy Ko, Peter Bock:
Image-Content Classification Using a Dynamically Allocated ALISA Texture Module. AIPR 2000: 259-265 - [c12]Mark D. Happel, Peter Bock:
Overriding the Experts: A Stacking Method for Combining Marginal Classifiers. FLAIRS 2000: 66-70 - [c11]Terry P. Riopka, Peter Bock:
Intelligent Recombination Using Individual Learning in a Collective Learning Genetic Algorithm. GECCO 2000: 104-111 - [c10]Mark D. Happel, Peter Bock:
Analysis of a Fusion Method for Combining Marginal Classifiers. Multiple Classifier Systems 2000: 137-146
1990 – 1999
- 1998
- [c9]Taras P. Riopka, Peter Bock:
Detecting Motion in Single Images Using ALISA. FLAIRS 1998: 322-327 - 1994
- [c8]Cheryl G. Howard, Peter Bock:
Using a hierarchical approach to avoid over-fitting in early vision. ICPR (1) 1994: 826-829 - [c7]Helen G. Cobb, Peter Bock:
Using a Genetic Algorithm to Search for the Representational Bias of a Collective Reinforcement Learner. PPSN 1994: 576-587 - 1993
- [b1]Peter Bock:
The emergence of artificial cognition - an introduction to collective learning. World Scientific 1993, ISBN 978-981-02-1169-1, pp. I-XVII, 1-323 - [c6]Cheryl G. Howard, Peter Bock:
Multi-Class Classification and Symbolic Cognitive Processing with ALISA. CAIP 1993: 343-354 - 1992
- [j3]Peter Bock, Roland Klinnert, Rudolf Kober, Richard M. Rovner, Hauke Schmidt:
Gray-Scale ALIAS. IEEE Trans. Knowl. Data Eng. 4(2): 109-122 (1992) - 1990
- [c5]Peter Bock:
A Parallel Implementation of Collective Learning Systems Theory: Adaptive Learning Image Analysis System (ALIAS). ACM Conference on Computer Science 1990: 457-469 - [c4]Peter Bock, H. Holz, Richard M. Rovner, C. J. Kocinski:
An initial performance evaluation of unsupervised learning with ALIAS. IJCNN 1990: 451-465 - [c3]Peter Bock:
Building the Ultimate Machine: The Emergence of Artificial Cognition. PPSN 1990: 472-481
1980 – 1989
- 1985
- [j2]Peter Bock:
The Emergence of Artificial Intelligence: Learning to Learn. AI Mag. 6(3): 180-190 (1985) - 1984
- [c2]Peter Bock:
Controlling robots with an english-like high-level hierarchical command language (HIROB). ICRA 1984: 404-412 - 1983
- [j1]Peter Bock:
English as a command language for robot control ( HIROB). Robotica 1(1): 19-24 (1983) - 1982
- [c1]Peter Bock, Aysel Basci:
A real-time automatic ranging algorithm for vision systems. ICASSP 1982: 1940-1943
Coauthor Index
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