Výsledky vyhledávání - "Emil St. Chifu"

A system for detecting professional skills from resumes written in natural language

Autor: Ioan Salomie, Viorica Rozina Chifu, Iulia Popa, Emil St. Chifu

Publikováno v: ICCP

In this paper, we present a new method for detecting professional skills (as noun phrases) from resumes written in natural language. The proposed method uses an ontology of skills, the Wikipedia encyclopedia, and a set of standard multi word part-of-

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5a616676b962e22ad28b2b1a1dfcd450
https://doi.org/10.1109/iccp.2017.8117003

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Optimizing the generation of personalized healthy menus for elderly people using a crab breeding inspired method

Autor: Ioan Salomie, Viorica Rozina Chifu, Cristina Bianca Pop, Alexandru Nicolae Niculici, Emil St. Chifu

Publikováno v: ICCP

In this paper we present a method for generating healthy diets for elderly people. The method proposed is based on the Crab Mating Optimization Algorithm, which is inspired from the breeding behavior of crabs in nature. In our case the generated diet

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8bfdaddfd58139d59504ba5841c7d0ea
https://doi.org/10.1109/iccp.2017.8116998

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Diabetes risk stratification method based on fuzzy logic and bio-inspired meta-heuristics

Autor: Andrea Deme, Ioan Salomie, Viorica Rozina Chifu, Cristina Bianca Pop, Emil St. Chifu

Publikováno v: International Journal of Computational Intelligence Studies. 8:223

This paper presents a system for diabetes risk stratification that combines fuzzy logic with two bio-inspired algorithms. The developed system takes as input a set of patients described by numerical and categorical features and generates fuzzy rules

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a4939358d26aa71558d16a8ed49fd69
https://doi.org/10.1504/ijcistudies.2019.102577

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Hybrid Immune Based Method for Generating Healthy Meals for Older Adults

Autor: Dorin Moldovan, Laura Petrisor, Ioan Salomie, Emil St. Chifu, Viorica Rozina Chifu

Publikováno v: SYNASC

This paper presents a Hybrid Clonal Selection based method for generating healthy meals as starting from a given user request, a diet recommendation, and a set of food offers. The method proposed is based on a hybrid model, which consists of one core

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::837e95a878cfefc6206c5e129cfb3c09
https://doi.org/10.1109/synasc.2016.047

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Bird Mating Optimization method for one-to-n skill matching

Autor: Simona Corde, Andreea Iepure, Ioan Salomie, Viorica Rozina Chifu, Emil St. Chifu

Publikováno v: ICCP

This paper presents a Bird Mating Optimization method for one-to-n skill matching. The method proposed finds the optimal combination of skills from two or more CVs that best satisfies a job description. In our approach the CV sets as well as the job

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::87d8456daf8d884bd1afcc48feea76e5
https://doi.org/10.1109/iccp.2016.7737139

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Hybrid Invasive Weed Optimization Method for Generating Healthy Meals

Autor: Cristina Bianca Pop, Emil St. Chifu, Marcel Antal, Dan Valea, Ioan Salomie, Viorica Rozina Chifu, Madalina Lupu

Publikováno v: Soft Computing Applications ISBN: 9783319182957
SOFA (1)

This paper presents a hybrid invasive weed optimization method for generating healthy meals starting from a given user profile, a diet recommendation, and a set of food offers. The method proposed is based on a hybrid model which consists of a core c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::28440413e5de3e7a4aa1a88653e7c347
https://doi.org/10.1007/978-3-319-18296-4_28

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Unsupervised aspect level sentiment analysis using Ant Clustering and Self-organizing Maps

Autor: Tiberiu S. Letia, Viorica Rozina Chifu, Emil St. Chifu

Publikováno v: SpeD

We present an approach for aspect based opinion mining, which uses an unsupervised neural network as the opinion classifier. To identify the aspects, we use the Ant Clustering Algorithm. It is able to group similar sentences into clusters and then to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::59e202b90f2c203fe0e630c90db796aa
https://doi.org/10.1109/sped.2015.7343075

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Unsupervised Aspect Level Sentiment Analysis Using Self-Organizing Maps

Autor: Emil St. Chifu, Viorica Rozina Chifu, Tiberiu S. Letia

Publikováno v: SYNASC

This paper presents an unsupervised method for aspect level sentiment analysis that uses the Growing Hierarchical Self-organizing Maps. Different sentences in a product review refer to different aspects of the reviewed product. We use the Growing Hie

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9d3b0b59fd12c7e6092edfb53969ab5b
https://doi.org/10.1109/synasc.2015.75

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Hybrid Cuckoo Search-Based Algorithms for Business Process Mining

Autor: Victor Rad, Marcel Antal, Ioan Salomie, Viorica Rozina Chifu, Cristina Bianca Pop, Emil St. Chifu

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783319113128
IEEE Conf. on Intelligent Systems (1)

In this paper, we analyze the impact of hybridization on the Cuckoo Search algorithm as applied in the context of business process mining. Thus, we propose six hybrid variants for the algorithm, as obtained by combining the Cuckoo Search algorithm wi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c279acb511de46ddffdd585ad1368b68
https://doi.org/10.1007/978-3-319-11313-5_43

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