Search Results - "Lung, Rodica Ioana"

A new clustering method based on multipartite networks by Lung, Rodica-Ioana

“…The clustering problem is one of the most studied and challenging in machine learning, as it attempts to identify similarities within data without any prior…”
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A game-theoretic model for the classification of selected oil companies' price changes by Lung, Rodica-Ioana, Duma, Florin Sebastian

“…One of the essential properties of a machine learning model is to be able to capture nuanced connections within data. This ability can be enhanced by…”
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Approximation of Nash equilibria and the network community structure detection problem by Mihai-Alexandru, Suciu, Noémi, Gaskó, Ioana, Lung Rodica

“…Game theory based methods designed to solve the problem of community structure detection in complex networks have emerged in recent years as an alternative to…”
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A game theoretic decision forest for feature selection and classification by Suciu, Mihai-Alexandru, Ioana Lung, Rodica

“…Classification and feature selection are two of the most intertwined problems in machine learning. Decision trees (DTs) are straightforward models that address…”
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A hypergraph model for representing scientific output by Lung, Rodica Ioana, Gaskó, Noémi, Suciu, Mihai Alexandru

“…Representation and analysis of publication data in the form of a network has become a common method of illustrating and evaluating the scientific output of a…”
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A Pseudo-Deterministic Noisy Extremal Optimization algorithm for the pairwise connectivity Critical Node Detection Problem by Gaskó, Noémi, Suciu, Mihai-Alexandru, Ioana Lung, Rodica, Képes, Tamás

“…The critical node detection problem is a central task in computational graph theory due to its large applicability, consisting in deleting $k$ nodes to…”
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Game theory and extremal optimization for community detection in complex dynamic networks by Lung, Rodica Ioana, Chira, Camelia, Andreica, Anca

“…The detection of evolving communities in dynamic complex networks is a challenging problem that recently received attention from the research community…”
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Characterization and Detection of ϵ-Berge-Zhukovskii Equilibria by Lung, Rodica Ioana, Suciu, Mihai, Gaskó, Noémi, Dumitrescu, D

“…The Berge-Zhukovskii equilibrium is an alternate solution concept in non-cooperative game theory that formalizes cooperation in a noncooperative setting. In…”
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Identification of influential nodes with Shapley Influence Maximization Extremal Optimization algorithm by Gaskó, Noémi, Képes, Tamás, Lung, Rodica Ioana, Suciu, Mihai

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A new network model for the study of scientific collaborations: Romanian computer science and mathematics co-authorship networks by Gaskó, Noémi, Lung, Rodica Ioana, Suciu, Mihai Alexandru

“…Co-authorship networks have been used to study collaboration patterns in various fields, evaluate researchers and recommend policies. In their simplest form…”
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Evolutionary swarm cooperative optimization in dynamic environments by Lung, Rodica Ioana, Dumitrescu, Dumitru

“…A hybrid approach called Evolutionary Swarm Cooperative Algorithm (ESCA) based on the collaboration between a particle swarm optimization algorithm and an…”
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Pareto-based evolutionary multiobjective approaches and the generalized Nash equilibrium problem by Lung, Rodica Ioana, Gaskó, Noémi, Suciu, Mihai Alexandru

“…Pareto-based evolutionary multiobjective approaches are methods that use the Pareto dominance concept to guide the search of evolutionary algorithms towards…”
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Noisy extremal optimization by Lung, Rodica Ioana, Suciu, Mihai, Gaskó, Noémi

“…Noisy extremal optimization is a new optimization-based heuristic designed to identify the community structure of complex networks by maximizing the modularity…”
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Direct Evolutionary Search for Nash Equilibria Detection by Lung, Rodica Ioana

“…A Direct method of computing mixed form Nash equilibria of a normal form game by using a simple evolutionary algorithm is proposed. The Direct Evolutionary…”
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A collaborative model for tracking optima in dynamic environments by Lung, R.I., Dumitrescu, D.

“…A new hybrid approach to optimization in dynamic environments called collaborative evolutionary-swarm optimization (CESO) is presented. CESO is a simple method…”
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A new evolutionary approach to minimax problems by Lung, Rodica Ioana, Dumitrescu, D.

“…Minimax or worst-case optimization is concerned with the minimization of the maximum output in all scenarios of a given problem. The minimax problem can be…”
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Detecting Strong Berge Pareto equilibrium in a non-cooperative game using an evolutionary approach by Dumitrescu, D, Lung, Rodica Ioana, Gasko, N

“…Nash equilibrium is an important solving concept in Game Theory. Playing in Nash sense means that no player (agent) wants to deviate from the equilibrium…”
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A Nash Equilibrium Approach based on Differential Evolution to Probit Classification by Lung, Rodica Ioana

“…The possibility of enhancing the performance of the Probit classification model by adding a game theoretic flavour to the model parameters is explored in this…”
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Guest editorial: special issue on nature inspired cooperative strategies for optimization by Lung, Rodica Ioana, Chira, Camelia, Dumitrescu, D.

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A Game Theoretic Based K-Nearest Neighbor Approach for Binary Classification by Lung, Rodica Ioana, Suciu, Mihai Alexandru

“…K-nearest neighbor is one of the simplest and most intuitive binary classification methods providing robust results on a wide range of data. However,…”
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