UNLABELLED NetCmpt is a tool for calculating the competitive potential between pairs of bacterial species. The score describes the effective metabolic overlap (EMO) between two species, derived from analyzing the topology of the corresponding metabolic models. NetCmpt is based on the EMO algorithm, developed and validated in previous studies. It takes as input lists of species-specific enzymati...

In this paper, we present a distributed implementation of a network based multi-objective evolutionary algorithmcalled EMOby using Offspring. Network based evolutionary algorithms have proven to be effective for multi-objective problem solving. They feature a network of connections between individuals that drives the evolution of the algorithm. Unfortunately, they require large populations to...

This study investigated whether emotional expressions of an ECA influence the participants ́ nonverbal and verbal behavior. 70 participants took part in a small talk (10 min.) situation with the ECA MAX who was presented with two different types of feedback: emotional feedback (EMO), which provided a feedback about the emotional state of MAX (including smiles and compliments) and envelope feedba...

Hypervolume contribution is an important concept in evolutionary multi-objective optimization (EMO). It involves hypervolume-based EMO algorithms and hypervolume subset selection algorithms. Its main drawback that it computationally expensive high-dimensional spaces, which limits its applicability to many-objective optimization. Recently, R2 indicator variant (i.e., R2HVC indicator) proposed ap...

Evolutionary algorithms are popular for multiobjective optimisation (also called Pareto optimisation) as they use a population to store trade-offs between different objectives. Despite their popularity, the theoretical foundation of evolutionary (EMO) is still in its early development. Fundamental questions such benefits crossover operator not fully understood. We provide analysis well-known EM...

Exporting manufacturers often choose both integrated and independent channels to sell a product in foreign market. This is called dual distribution markets or export channels. The purpose of this study employ capability theory examine the effects two factors, namely market orientation (EMO) entrepreneurial (EEO) capability, on choice use also examines moderating cultural distance relationship b...

Machine learning models have liberated manpower greatly in many real-world tasks, but their predictions are still worse than humans on some specific instances. To improve the performance, it is natural to optimize machine take decisions for most instances while delivering a few tricky humans, resulting problem of Human Assisted Learning (HAL). Previous works mainly formulated HAL as constrained...

The modeling of human emotion expression in speech signals is an important, yet challenging task. high resource demand recognition models, combined with the general scarcity emotion-labelled data are obstacles to development and application effective solutions this field. In paper, we present approach jointly circumvent these difficulties. Our method, named RH-emo, a novel semi-supervised archi...