Searching for authors named "Vassilios Petridis" – sorted by Relevance.
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Solving University Timetabling Problems Using Advanced Genetic Algorithms
- Timetabling problems together with scheduling ones constitute a class of difficult to solve combinatorial optimization problems that lack analytical solution methods. As such, these problems have attracted researchers from a number of disciplines, like Operations Research and Artificial Intelligenc
- Cited by 1 (0 self) – Add To MetaCart
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Fuzzy Lattice Neurocomputing (FLN) Models
- In this work it is shown how fuzzy lattice neurocomputing (FLN) emerges as a connectionist paradigm in the framework of fuzzy lattices (FL-framework) whose advantages include the capacity to deal rigorously with: disparate types of data such as numeric and linguistic data, intervals of values, "miss
- Cited by 8 (4 self) – Add To MetaCart
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Learning and Decision-Making in the Framework of Fuzzy Lattices
- A novel theoretical framework is delineated for supervised and unsupervised learning. It is called framework of fuzzy lattices, or FLframework for short, and it suggests mathematically sound tools for dealing separately and/or jointly with disparate types of data including vectors of numbers, fuzzy
- Cited by 4 (2 self) – Add To MetaCart
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Regression on heterogeneous fuzzy data
- ABSTRACT: A novel formalism is presented, which enables the processing of heterogeneous data including numeric-, interval-valued-, or fuzzy- data. The data in question are represented herein as interval-supported fuzzy sets with suitable membership functions. The term Fuzzy Interval Number (FIN) den
- Cited by 1 (1 self) – Add To MetaCart
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An Intelligent Mechatronics Solution for Automated Tool Guidance in the Epidural Surgical Procedure
- This work reports results regarding the recognition of soft tissues in the Epidural surgical procedure by a novel scheme implementable on a surgical mechatronics tool. The data employed are Raman spectra of soft tissues. A whole Raman spectrum is treated here as a single datum. Soft tissue recogniti
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3D FACIAL EXPRESSION RECOGNITION USING SWARM INTELLIGENCE
- In this paper, we present a novel approach for 3D facial expression recognition which is inspired by the advances of ant colony and particle swarm optimization (ACO and PSO respectively) in the field of data mining. Anatomical correspondence between faces is first established using a generic 3D face
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Estimation of the Stapes-Bone Thickness in Stapedotomy Surgical Procedure Using a Machine-Learning Technique
- Stapedotomy is a surgical procedure aiming at the treatment of hearing impairment, where the latter is due to otosclerosis, by drilling a hole through the stapes bone in the inner ear in order to insert a prosthesis. Safety requires knowledge of the non-measurable stapes thickness. The technical goa
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Learning a linear association of drilling profiles in stapedotomy surgery
- The two-level fuzzy-lattice (2L-FL) learning scheme is introduced for application on an intelligent surgical (mechatronic) drill in the stapedotomy surgical procedure in the ear. The 2L-FL scheme learned from past cases to evaluate pointedly the thickness of a stapes bone using a force/torque pair o
- Cited by 2 (0 self) – Add To MetaCart
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Two Level Fuzzy Lattice (2L-FL) Supervised Clustering : A New Method for Soft Tissue Identification
- Abstract: A new technique is presented towards the intelligent control of a surgical tool to be used for the epidural puncture. Specifically the problem of the accurate soft tissue identification from laser-based spectral data was dealt with successfully. The proposed new technique, namely two level
- Cited by 5 (5 self) – Add To MetaCart
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Linear Text Segmentation using a Dynamic Programming Algorithm
- In this paper we introduce a dynamic programming algorithm to perform linear text segmentation by global minimization of a segmentation cost function which consists of: (a) within-segment word similarity and (b) prior information about segment length. The evaluation of the segmentation accura
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