H
Hamid R. Tizhoosh
Researcher at University of Waterloo
Publications - 319
Citations - 9545
Hamid R. Tizhoosh is an academic researcher from University of Waterloo. The author has contributed to research in topics: Image retrieval & Image segmentation. The author has an hindex of 41, co-authored 291 publications receiving 7786 citations. Previous affiliations of Hamid R. Tizhoosh include University of Toronto & Otto-von-Guericke University Magdeburg.
Papers
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Proceedings ArticleDOI
Opposition-Based Learning: A New Scheme for Machine Intelligence
TL;DR: Opposition-based learning as a new scheme for machine intelligence is introduced and possibilities for extensions of existing learning algorithms are discussed.
Journal ArticleDOI
Opposition-Based Differential Evolution
TL;DR: This paper presents a novel algorithm to accelerate the differential evolution (DE), which employs opposition-based learning (OBL) for population initialization and also for generation jumping and results confirm that the ODE outperforms the original DE and FADE in terms of convergence speed and solution accuracy.
Journal ArticleDOI
A novel population initialization method for accelerating evolutionary algorithms
TL;DR: A novel initialization approach which employs opposition-based learning to generate initial population is proposed which can accelerate convergence speed and also improve the quality of the final solution.
Journal ArticleDOI
Opposition versus randomness in soft computing techniques
TL;DR: This paper mathematically and experimentally proves that the simultaneous consideration of randomness and opposition is more advantageous than pure randomness, and applies that to accelerate differential evolution (DE).
Journal ArticleDOI
Artificial intelligence and digital pathology: Challenges and opportunities
TL;DR: This paper strives to provide a realistic account of all challenges and opportunities of adopting AI algorithms in digital pathology from both engineering and pathology perspectives.