In this paper, we extend a symbolic association framework to being able to handle missing elements in multimodal sequences. The general scope of the work is the symbolic associations of object-word mappings as it happens in language development on infants. This scenario has been long interested by Artificial Intelligence, Psychology and Neuroscience. In this work, we extend a recent approach fo...

We propose an extension to the notion of one-mode projection, for the case of temporal bipartite graphs. Through a Bayesian iterative update scheme, our method produces an estimate of the one-mode network at each step, by describing each link via probability distributions over i) its presence/absence and ii) weight. Our approach models the statistical significance of each link in the projected ...

Zheng classification is a very important step in the diagnosis of traditional Chinese medicine (TCM). In clinical practice of TCM, feature values are often missing and incomplete cases. The performance of Zheng classification is strictly related to rates of missing feature values. Based on the pattern of the missing feature values, a new approach named local-validity is proposed to classify zhe...

This paper proposes a new approach based on missing value pattern discovery for classifying incomplete data. This approach is particularly designed for classification of datasets with a small number of samples and a high percentage of missing values where available missing value treatment approaches do not usually work well. Based on the pattern of the missing values, the proposed approach find...

The changing economic conditions have challenged many financial institutions to search for more efficient and effective ways to assess emerging markets. Data Envelopment Analysis (DEA) is a widely used mathematical programming technique that compares the inputs and outputs of a set of homogenous Decision Making Units (DMUs) by evaluating their relative efficiency. In the conventional DEA model,...

Software engineering comprehends several disciplines devoted to prevent and remedy malfunctions and to warrant adequate behavior. Testing is a widespread validation approach in industry, but it is still largely ad hoc, expensive, and unpredictably effective. In today's industry, the design of software tests is mostly based on the testers' expertise, while test automation tools are limited to ex...

An Input/Output Automaton is an automaton with a finite number of states where each transition is associated with a single inpuf or output interaction. In [1], we introduced a new formalism, in which each transition is associated with a bipartite partially ordered set made of concurrent inputs followed by concurrent outputs. In this paper, we generalize this model to Partial Order Input/Output ...

An Input/Output Automaton is an automaton with a finite number of state where each transition is associated with a single input or output interaction. In this paper, we consider a generalization of this formalism, the Partial Order Input/Output Automata (POIOA), in which each transition is associated with a partially ordered set of inputs and outputs. This new formalism allows the specification...

background: hypodontia is the most common dental anomaly and might cause clinical complications. the aim of this study was to assess the prevalence and pattern of congenital missing in the permanent dentition dentition (excluding third molars), among iranian orthodontic patients. materials and methods: in this descriptive cross-sectional study, all approved panoramic radiographs of 3374 orthodo...