Günce Keziban Orman

According to our database, Günce Keziban Orman authored at least 28 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

On the role of user segmentation in recommender systems' performances.

Elif Ece Erdem, Günce Keziban Orman

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Job Seeker Recommendation for Employers: A Graph-Based Recommendation Approach Using Node Embedding.

Fatma Gizem Çalli, Günce Keziban Orman

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

On the usage of Benford's Law on coronavirus data statistics.

Sena Atakan, Günce Keziban Orman

Proceedings of the IEEE International Conference on Big Data, 2023

An Empirical Study of Covid-19 Effect on Health Care Workers' Career Development.

Kutay Acar, Günce Keziban Orman, Sultan Nezihe Turhan

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Finding Proper Time Intervals for Dynamic Network Extraction.

Günce Keziban Orman, Nadir Türe, Selim Balcisoy, Hasan Alp Boz

CoRR, 2022

Dynamic network modelling with similarity based aggregation algorithm.

Günce Keziban Orman

Comput. Sci. Inf. Syst., 2022

Similarity-Based Résumé Matching via Triplet Loss with BERT Models.

Ö. Anil Özlü, Günce Keziban Orman, F. Serhan Danis, Sultan N. Turhan, K. Can Kara, T. Arda Yücel

Proceedings of the Intelligent Systems and Applications, 2022

Job Recommendation Based on Extracted Skill Embeddings.

Atakan Kara, F. Serhan Danis, Günce Keziban Orman, Sultan N. Turhan, Ö. Anil Özlü

Proceedings of the Intelligent Systems and Applications, 2022

Salary Prediction via Sectoral Features in Turkey.

Sükrü Demir Inan Özer, Berkay Ülke, F. Serhan Danis, Günce Keziban Orman

Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2022

Determining Column Numbers in Résumés with Clustering.

Seref Recep Keskin, Yavuz Bali, Günce Keziban Orman, F. Serhan Danis, Sultan N. Turhan

Proceedings of the Artificial Intelligence Applications and Innovations, 2022

Extracting Relations Between Sectors.

Atakan Kara, F. Serhan Danis, Günce Keziban Orman, Sultan Nezihe Turhan

Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2022

2021

Aggregating Time Windows for Dynamic Network Extraction.

Serhat Çolak, Günce Keziban Orman

Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2021

Similarity Based Compression Ratio for Dynamic Network Modelling.

Günce Keziban Orman, Serhat Çolak

Proceedings of the 19th IEEE International Conference on Smart Technologies, 2021

Detecting Genetic Disposition of Ethnicity to Autoimmune Diseases via Clustering.

Damla Sentürk, Günce Keziban Orman

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2018

Community Structure Characterization.

Vincent Labatut, Günce Keziban Orman

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

2017

Exploring the Evolution of Node Neighborhoods in Dynamic Networks.

Günce Keziban Orman, Vincent Labatut, Ahmet Teoman Naskali

CoRR, 2017

Community Structure Characterization.

Vincent Labatut, Günce Keziban Orman

CoRR, 2017

2015

Interpreting communities based on the evolution of a dynamic attributed network.

Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut

Soc. Netw. Anal. Min., 2015

Overlapping Communities via k-Connected Ego Centered Groups.

Günce Keziban Orman, Onur Karadeli, Emre ÇaliotaSiotar

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014

Une méthode pour caractériser les communautés des réseaux dynamiques à attributs.

Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut

Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014

A method for characterizing communities in dynamic attributed complex networks.

Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut

Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013

Towards realistic artificial benchmark for community detection algorithms evaluation.

Günce Keziban Orman, Vincent Labatut, Hocine Cherifi

Int. J. Web Based Communities, 2013

2012

Comparative Evaluation of Community Detection Algorithms: A Topological Approach

Günce Keziban Orman, Vincent Labatut, Hocine Cherifi

CoRR, 2012

An Empirical Study of the Relation between Community Structure and Transitivity.

Günce Keziban Orman, Vincent Labatut, Hocine Cherifi

Proceedings of the Complex Networks, results of the 3rd Workshop on Complex Networks, 2012

2011

On Accuracy of Community Structure Discovery Algorithms

Günce Keziban Orman, Vincent Labatut, Hocine Cherifi

CoRR, 2011

Qualitative Comparison of Community Detection Algorithms.

Günce Keziban Orman, Vincent Labatut, Hocine Cherifi

Proceedings of the Digital Information and Communication Technology and Its Applications, 2011

2010

The Effect of Network Realism on Community Detection Algorithms.

Günce Keziban Orman, Vincent Labatut

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010

2009

A Comparison of Community Detection Algorithms on Artificial Networks.

Günce Keziban Orman, Vincent Labatut

Proceedings of the Discovery Science, 12th International Conference, 2009