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ORCIDGünce Keziban Orman
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2020 – today
- 2025
[j5]Sükrü Demir Inan Özer, Günce Keziban Orman
:
Experimental evaluation of the effect of community structures on link prediction. Inf. Sci. 689: 121394 (2025)- 2024
- [j4]Afra Arslan, Koray Tecimer, Hacer Turgut, Ömür Bali, Tayfun Arda Yücel, Gülfem Isiklar Alptekin, Günce Keziban Orman:
A Comprehensive Framework for Measuring the Immediate Impact of TV Advertisements: TV-Impact. Entropy 26(2): 109 (2024) - [c21]Sükrü Demir Inan Özer, Günce Keziban Orman:
Enhanced Item Recommendation via Graph Properties in Sparse Data. AIAI (4) 2024: 111-124 - [c20]Özgür Anil Özlü, Günce Keziban Orman, Sultan N. Turhan:
Exploring Graph-Based Techniques in Job Recommendation Systems. IS 2024: 1-6 - [i13]Sükrü Demir Inan Özer, Günce Keziban Orman, Vincent Labatut:
Link Prediction in Bipartite Networks. CoRR abs/2406.06658 (2024) - 2023
- [c19]Kutay Acar, Günce Keziban Orman, Sultan Nezihe Turhan:
An Empirical Study of Covid-19 Effect on Health Care Workers' Career Development. IEEE Big Data 2023: 4826-4833 - [c18]Sena Atakan, Günce Keziban Orman:
On the usage of Benford's Law on coronavirus data statistics. IEEE Big Data 2023: 4848-4853 - [c17]Elif Ece Erdem, Günce Keziban Orman:
On the role of user segmentation in recommender systems' performances. KES 2023: 2333-2342 - [c16]Fatma Gizem Çalli, Günce Keziban Orman:
Job Seeker Recommendation for Employers: A Graph-Based Recommendation Approach Using Node Embedding. KES 2023: 3660-3669 - 2022
- [j3]Günce Keziban Orman:
Dynamic network modelling with similarity based aggregation algorithm. Comput. Sci. Inf. Syst. 19(2): 1023-1046 (2022) - [c15]Atakan Kara, F. Serhan Danis, Günce Keziban Orman, Sultan Nezihe Turhan:
Extracting Relations Between Sectors. BDCAT 2022: 77-82 - [c14]Seref Recep Keskin, Yavuz Bali, Günce Keziban Orman, F. Serhan Danis, Sultan N. Turhan:
Determining Column Numbers in Résumés with Clustering. AIAI (2) 2022: 460-471 - [c13]Sükrü Demir Inan Özer, Berkay Ülke, F. Serhan Danis, Günce Keziban Orman:
Salary Prediction via Sectoral Features in Turkey. INISTA 2022: 1-6 - [c12]Atakan Kara, F. Serhan Danis, Günce Keziban Orman, Sultan N. Turhan, Özgür Anil Özlü:
Job Recommendation Based on Extracted Skill Embeddings. IntelliSys (3) 2022: 497-507 - [c11]Özgür Anil Özlü, Günce Keziban Orman, F. Serhan Danis, Sultan N. Turhan, K. Can Kara, Tayfun Arda Yücel:
Similarity-Based Résumé Matching via Triplet Loss with BERT Models. IntelliSys (3) 2022: 520-532 - [i12]Günce Keziban Orman, Nadir Türe, Selim Balcisoy, Hasan Alp Boz:
Finding Proper Time Intervals for Dynamic Network Extraction. CoRR abs/2206.12678 (2022) - [i11]Atakan Kara, F. Serhan Danis, Günce Keziban Orman, Sultan Nezihe Turhan:
Extracting Relations Between Sectors. CoRR abs/2208.14332 (2022) - 2021
- [c10]Damla Sentürk, Günce Keziban Orman:
Detecting Genetic Disposition of Ethnicity to Autoimmune Diseases via Clustering. IEEE BigData 2021: 4761-4769 - [c9]Günce Keziban Orman, Serhat Çolak:
Similarity Based Compression Ratio for Dynamic Network Modelling. EUROCON 2021: 227-232 - [c8]Serhat Çolak, Günce Keziban Orman:
Aggregating Time Windows for Dynamic Network Extraction. INISTA 2021: 1-6
2010 – 2019
- 2018
- [r1]Vincent Labatut, Günce Keziban Orman:
Community Structure Characterization. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2017
- [i10]Günce Keziban Orman, Vincent Labatut, Ahmet Teoman Naskali:
Exploring the Evolution of Node Neighborhoods in Dynamic Networks. CoRR abs/1704.07171 (2017) - [i9]Vincent Labatut, Günce Keziban Orman:
Community Structure Characterization. CoRR abs/1705.10621 (2017) - 2015
- [j2]Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut:
Interpreting communities based on the evolution of a dynamic attributed network. Soc. Netw. Anal. Min. 5(1): 20:1-20:22 (2015) - [c7]Günce Keziban Orman, Onur Karadeli, Emre ÇaliotaSiotar:
Overlapping Communities via k-Connected Ego Centered Groups. ASONAM 2015: 1598-1599 - [i8]Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut:
Interpreting communities based on the evolution of a dynamic attributed network. CoRR abs/1506.04693 (2015) - 2014
- [c6]Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut:
A method for characterizing communities in dynamic attributed complex networks. ASONAM 2014: 481-484 - [c5]Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut:
Une méthode pour caractériser les communautés des réseaux dynamiques à attributs. EGC 2014: 101-112 - [i7]Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut:
A Method for Characterizing Communities in Dynamic Attributed Complex Networks. CoRR abs/1406.6597 (2014) - 2013
- [j1]Günce Keziban Orman, Vincent Labatut, Hocine Cherifi:
Towards realistic artificial benchmark for community detection algorithms evaluation. Int. J. Web Based Communities 9(3): 349-370 (2013) - [i6]Günce Keziban Orman, Vincent Labatut, Hocine Cherifi:
Towards realistic artificial benchmark for community detection algorithms evaluation. CoRR abs/1308.0577 (2013) - [i5]Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut:
Une méthode pour caractériser les communautés des réseaux dynamiques à attributs. CoRR abs/1312.4676 (2013) - 2012
- [c4]Günce Keziban Orman, Vincent Labatut, Hocine Cherifi:
An Empirical Study of the Relation between Community Structure and Transitivity. CompleNet 2012: 99-110 - [i4]Günce Keziban Orman, Vincent Labatut, Hocine Cherifi:
Comparative Evaluation of Community Detection Algorithms: A Topological Approach. CoRR abs/1206.4987 (2012) - [i3]Günce Keziban Orman, Vincent Labatut, Hocine Cherifi:
An Empirical Study of the Relation Between Community Structure and Transitivity. CoRR abs/1207.3234 (2012) - [i2]Günce Keziban Orman, Vincent Labatut, Hocine Cherifi:
Qualitative Comparison of Community Detection Algorithms. CoRR abs/1207.3603 (2012) - 2011
- [c3]Günce Keziban Orman, Vincent Labatut, Hocine Cherifi:
Qualitative Comparison of Community Detection Algorithms. DICTAP (2) 2011: 265-279 - [i1]Günce Keziban Orman, Vincent Labatut, Hocine Cherifi:
On Accuracy of Community Structure Discovery Algorithms. CoRR abs/1112.4134 (2011) - 2010
- [c2]Günce Keziban Orman, Vincent Labatut:
The Effect of Network Realism on Community Detection Algorithms. ASONAM 2010: 301-305
2000 – 2009
- 2009
- [c1]Günce Keziban Orman, Vincent Labatut:
A Comparison of Community Detection Algorithms on Artificial Networks. Discovery Science 2009: 242-256
Coauthor Index
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