Analytic Hierarchy Process (AHP) is a powerful quantitative measurement method in the multi-criteria decision making (MCDM) area. It has been used in banks, manufacturing systems, organizational performance evaluation, and project selection. Despite this widespread usage, many studies argue that rank reversal phenomenon is unpreventable when any AHP method is applied. This paper presents that t...

Voting rules can be assessed from quite different perspectives: the axiomatic, pragmatic, in terms of computational or conceptual simplicity, susceptibility to manipulation, and many others aspects. In this paper, we take machine learning perspective ask how prominent voting compare their learnability by a neural network. To address question, train network choosing Condorcet, Borda, plurality w...

Identifying influential individuals in a network is commonly addressed through various socio-metrics like PageRank, Hub and Authority scores [1], etc. These metrics are primarily based on the actor's location in the network [2] and often captures only a subset of the critical factors that are usually at play while predicting influence in networks like, relationship of the network (type of edge)...

A multiple classifier system is a powerful solution to difficult pattern recognition problems involving large class sets and noisy input because it allows simultaneous use of arbitrary feature descriptors and classification procedures. Decisions by the classifiers can be represented as rankings of classes so that they are comparable across different types of classifiers and different instances ...

The Vision Research Lab at the University of California at Santa Barbara participated in three TRECVID 2007 tasks: rushes summarization, high level feature extraction, and search. This paper describes contributions in the high level feature and search tasks. The high level feature submissions relied on visual features for three runs, audio features exclusively for one, and a fusion of audio and...

Ozdemir, Vural; Borda-Rodriguez, Alexander; Dove, Edward S; Ferguson, Lynette R; Huzair, Farah; Manolopoulos, Vangelis G.; Masellis, Mario; Milius, Djims; Warnich, Louise and Srivastava, Sanjeeva (2013). Editorial: public health pharmacogenomics and the design principles for global public goods – moving genomics to responsible innovation. Current Pharmacogenomics and Personalized Medicine, 11(1...

Difficult pattern recognition problems involving large class sets and noisy input can be solved by a multiple classifier system, which allows simultaneous use of arbitrary feature descriptors and classification procedures. Independent decisions by each classifier can be combined by methods of the highest rank, Borda count, and logistic regression, resulting in substantial improvement in overall...

of the PhD Thesis: HISTOPATHOLOGICAL AND EXTENSIVE IMMUNIHISTOCHEMICAL STUDY OF THE TESTICULAR GERM CELL TUMOURS PhD student: Dr. Ovidiu Preda Histology Department M1 University of Medicine and Pharmacy Târgu Mureş Scientific Coordinator: Prof. Dr. Angela Borda, University of Medicine and Pharmacy Târgu Mureş, Romania Prof. Dr. Francisco F Nogales, University of Granada, Faculty of Medicine, Spain