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ORCIDSule Gündüz Ögüdücü
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- affiliation: Istanbul Technical University, Turkey
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2020 – today
- 2024
[j16]Gamze Tuncay, Kiymet Kaya
, Yaren Yilmaz, Yusuf Yaslan, Sule Gündüz Ögüdücü:
A reinforcement learning based dynamic room pricing model for hotel industry. INFOR Inf. Syst. Oper. Res. 62(2): 211-231 (2024)- [c48]Kiymet Kaya, Elif Ak, Sumeyye Bas, Berk Canberk, Sule Gündüz Ögüdücü:
X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System. ICC 2024: 2288-2293 - [c47]Elif Ak, Kiymet Kaya, Eren Ozaltun, Sule Gündüz Ögüdücü, Berk Canberk:
A YANG-Aided Unified Strategy for Black Hole Detection for Backbone Networks. ICC 2024: 2312-2317 - [c46]Sümeyye Öztürk, Ahmed Burak Ercan, Resul Tugay, Sule Gündüz Ögüdücü:
Enhancing Cross-Market Recommendation System with Graph Isomorphism Networks: A Novel Approach to Personalized User Experience. ICMLT 2024: 251-257 - [c45]Begüm Özbay, Resul Tugay, Sule Gündüz Ögüdücü:
A GNN Model with Adaptive Weights for Session-Based Recommendation Systems. ICMLT 2024: 258-264 - [i12]Elif Ak, Kiymet Kaya, Eren Ozaltun, Sule Gündüz Ögüdücü, Berk Canberk:
A YANG-aided Unified Strategy for Black Hole Detection for Backbone Networks. CoRR abs/2402.00831 (2024) - [i11]Kiymet Kaya, Elif Ak, Sumeyye Bas, Berk Canberk, Sule Gündüz Ögüdücü:
X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System. CoRR abs/2402.00839 (2024) - [i10]Irem Islek, Sule Gündüz Ögüdücü:
Enriching User Shopping History: Empowering E-commerce with a Hierarchical Recommendation System. CoRR abs/2403.12096 (2024) - [i9]Sumeyye Bas, Kiymet Kaya, Resul Tugay, Sule Gündüz Ögüdücü:
Data Augmentation in Graph Neural Networks: The Role of Generated Synthetic Graphs. CoRR abs/2407.14765 (2024) - [i8]Eren Olug, Kiymet Kaya, Resul Tugay, Sule Gündüz Ögüdücü:
IBB Traffic Graph Data: Benchmarking and Road Traffic Prediction Model. CoRR abs/2408.01016 (2024) - [i7]Begüm Özbay, Resul Tugay, Sule Gündüz Ögüdücü:
A GNN Model with Adaptive Weights for Session-Based Recommendation Systems. CoRR abs/2408.05051 (2024) - [i6]Sümeyye Öztürk, Ahmed Burak Ercan, Resul Tugay, Sule Gündüz Ögüdücü:
Enhancing Cross-Market Recommendation System with Graph Isomorphism Networks: A Novel Approach to Personalized User Experience. CoRR abs/2409.07850 (2024) - 2022
- [j15]Irem Islek, Sule Gündüz Ögüdücü:
A hierarchical recommendation system for E-commerce using online user reviews. Electron. Commer. Res. Appl. 52: 101131 (2022) - [j14]Kiymet Kaya, Yaren Yilmaz, Yusuf Yaslan, Sule Gündüz Ögüdücü, Furkan Çingi:
Demand forecasting model using hotel clustering findings for hospitality industry. Inf. Process. Manag. 59(1): 102816 (2022) - [c44]Öznur Ilayda Yilmaz, Sule Gündüz Ögüdücü:
Learning football player features using graph embeddings for player recommendation system. SAC 2022: 577-584 - 2021
- [c43]Yaren Yilmaz, Sule Gündüz Ögüdücü:
Enriching demand prediction with product relationship information using graph neural networks. ASONAM 2021: 561-568 - 2020
- [c42]Irem Islek, Sule Gündüz Ögüdücü:
A Hybrid Recommendation System Based on Bidirectional Encoder Representations. PKDD/ECML Workshops 2020: 225-236 - [c41]Didem Türker, Alper Özcan, Sule Gündüz Ögüdücü:
Deep Hybrid Recommender System. SIU 2020: 1-4 - [i5]Muhammet Çakir, Sule Gündüz Ögüdücü, Resul Tugay:
A Deep Hybrid Model for Recommendation Systems. CoRR abs/2009.09748 (2020) - [i4]Resul Tugay, Sule Gündüz Ögüdücü:
Demand Prediction Using Machine Learning Methods and Stacked Generalization. CoRR abs/2009.09756 (2020) - [i3]Resul Tugay, Sule Gündüz Ögüdücü:
Ranky : An Approach to Solve Distributed SVD on Large Sparse Matrices. CoRR abs/2009.09767 (2020) - [i2]Bekir Berker Türker, Resul Tugay, Sule Ögüdücü, Ipek Kizil:
Hotel Recommendation System Based on User Profiles and Collaborative Filtering. CoRR abs/2009.14045 (2020)
2010 – 2019
- 2019
- [j13]Alper Ozcan, Sule Gündüz Ögüdücü:
Multivariate Time Series Link Prediction for Evolving Heterogeneous Network. Int. J. Inf. Technol. Decis. Mak. 18(1): 241-286 (2019) - [j12]Zeynep Zengin Alp, Sule Gündüz Ögüdücü:
Influence Factorization for identifying authorities in Twitter. Knowl. Based Syst. 163: 944-954 (2019) - [c40]Muhammet Çakir, Sule Gündüz Ögüdücü, Resul Tugay:
A Deep Hybrid Model for Recommendation Systems. AI*IA 2019: 321-335 - [c39]Ibrahim Tozlu, Sule Gündüz Ögüdücü, Atilberk Çelebi, Sacide Kalayci, Seçil Arslan:
Accelerating Balance Sheet Adjustment Process in Commercial Loan Applications with Machine Learning Methods. ECAI 2019: 1-8 - [c38]Mehmetcan Gayberi, Sule Gündüz Ögüdücü:
Popularity Prediction of Posts in Social Networks Based on User, Post and Image Features. MEDES 2019: 9-15 - [c37]Ezgi Yildirim, Payam Azad, Sule Gündüz Ögüdücü:
Neural Hybrid Recommender: Recommendation Needs Collaboration. NFMCP@PKDD/ECML 2019: 52-66 - [i1]Ezgi Yildirim, Payam Azad, Sule Gündüz Ögüdücü:
Neural Hybrid Recommender: Recommendation needs collaboration. CoRR abs/1909.13330 (2019) - 2018
- [j11]Alper Ozcan, Sule Gündüz Ögüdücü:
Link prediction in evolving heterogeneous networks using the NARX neural networks. Knowl. Inf. Syst. 55(2): 333-360 (2018) - [j10]Zeynep Zengin Alp, Sule Gündüz Ögüdücü:
Identifying topical influencers on twitter based on user behavior and network topology. Knowl. Based Syst. 141: 211-221 (2018) - [c36]Irem Islek, Sule Gündüz Ögüdücü:
Use of LSTM for Short-Term and Long-Term Travel Time Prediction. CIKM Workshops 2018 - 2017
- [c35]Resul Tugay, Sule Gündüz Ögüdücü:
Demand Prediction using Machine Learning Methods and Stacked Generalization. DATA 2017: 216-222 - [c34]Irem Islek, Sule Gündüz Ögüdücü:
A Decision Support System for Demand Forecasting based on Classifier Ensemble. FedCSIS (Communication Papers) 2017: 35-41 - [c33]Irem Islek, Idris Murat Atakli, Sule Gündüz Ögüdücü:
A Framework for Business Failure Prediction. ICAISC (2) 2017: 74-83 - [c32]Alper Ozcan, Sule Gündüz Ögüdücü:
Supervised temporal link prediction using time series of similarity measures. ICUFN 2017: 519-521 - 2016
- [j9]Ismail Günes, Sule Gündüz Ögüdücü, Zehra Çataltepe:
Link prediction using time series of neighborhood-based node similarity scores. Data Min. Knowl. Discov. 30(1): 147-180 (2016) - [j8]Nagehan Ilhan, Sule Gündüz Ögüdücü:
Feature identification for predicting community evolution in dynamic social networks. Eng. Appl. Artif. Intell. 55: 202-218 (2016) - [c31]Zeynep Zengin Alp, Sule Gündüz Ögüdücü:
Influential user detection on Twitter: Analyzing effect of focus rate. ASONAM 2016: 1321-1328 - [c30]Gozde Ozcan, Sule Gündüz Ögüdücü:
Applying different classification techniques in reciprocal job recommender system for considering job candidate preferences. ICITST 2016: 235-240 - [c29]Alper Ozcan, Sule Gündüz Ögüdücü:
Temporal Link Prediction Using Time Series of Quasi-Local Node Similarity Measures. ICMLA 2016: 381-386 - 2015
- [j7]Hüseyin Kaya, Sule Gündüz Ögüdücü:
A distance based time series classification framework. Inf. Syst. 51: 27-42 (2015) - [c28]Alper Ozcan, Sule Gündüz Ögüdücü:
Multivariate temporal Link Prediction in evolving social networks. ICIS 2015: 185-190 - [c27]Baris Akgün, Sule Gündüz Ögüdücü:
Streaming Linear Regression on Spark MLlib and MOA. ASONAM 2015: 1244-1247 - [c26]Nagehan Ilhan, Sule Gündüz Ögüdücü:
Predicting Community Evolution based on Time Series Modeling. ASONAM 2015: 1509-1516 - [c25]Zeynep Zengin Alp, Sule Gündüz Ögüdücü:
Extracting Topical Information of Tweets Using Hashtags. ICMLA 2015: 644-648 - [c24]Irem Islek, Sule Gündüz Ögüdücü:
A retail demand forecasting model based on data mining techniques. ISIE 2015: 55-60 - 2014
- [j6]Ismail Günes, Zehra Çataltepe, Sule Gündüz Ögüdücü:
GA-TVRC-Het: genetic algorithm enhanced time varying relational classifier for evolving heterogeneous networks. Data Min. Knowl. Discov. 28(3): 670-701 (2014) - [c23]Mehmet Yasin Akpinar, Mehmetcan Gayberi, Erdem Orman, Sule Gündüz Ögüdücü:
Kurumsal Raporlama Çözümlerinde Bellek İçi Veritabanı Kullanımı. UYMS 2014 - [p1]Nagehan Ilhan, Sule Gündüz Ögüdücü, A. Sima Etaner-Uyar:
Introduction to Social Networks: Analysis and Case Studies. Social Networks: Analysis and Case Studies 2014: 1-18 - [e1]Sule Gündüz Ögüdücü, A. Sima Etaner-Uyar:
Social Networks: Analysis and Case Studies. Lecture Notes in Social Networks, Springer 2014, ISBN 978-3-7091-1796-5 [contents] - 2013
- [j5]Hüseyin Kaya, Sule Gündüz Ögüdücü:
SAGA: A novel signal alignment method based on genetic algorithm. Inf. Sci. 228: 113-130 (2013) - [c22]Nagehan Ilhan, Sule Gündüz Ögüdücü:
A Study on Generation of Synthetic Evolving Social Graph. ICAART (2) 2013: 523-526 - [c21]Nagehan Ilhan, Sule Gündüz Ögüdücü:
Community Event Prediction in Dynamic Social Networks. ICMLA (1) 2013: 191-196 - 2012
- [c20]Soghra M. M. Gargari, Sule Gündüz Ögüdücü:
A Novel Framework for Spammer Detection in Social Bookmarking Systems. ASONAM 2012: 827-834 - [c19]Muzaffer Ege Alper, Sule Gündüz Ögüdücü:
Personalized Recommendation in Folksonomies Using a Joint Probabilistic Model of Users, Resources and Tags. ICMLA (1) 2012: 368-373 - [c18]Zeynep Zengin Alp, Sule Gündüz Ögüdücü:
User Based Recommender Model for Social Tagging Systems. ICDM (Poster and Industry Proceedings) 2012: 35-48 - 2011
- [c17]Hikmet Kapusuzoglu, Sule Gündüz Ögüdücü:
A Relational Recommender System Based on Domain Ontology. EIDWT 2011: 36-41 - [c16]Yonca Ustunbas, Sule Gündüz Ögüdücü:
A Recommendation Model for Social Resource Sharing Systems Based on Tripartite Graph Clustering. EISIC 2011: 378-381 - [c15]Nagehan Ilhan, Sule Gündüz Ögüdücü:
Tag Recommendation based on User's Behavior in Collaborative Tagging Systems. ICAART (1) 2011: 570-573 - [c14]Ismail Günes, Zehra Çataltepe, Sule Gündüz Ögüdücü:
GA-TVRC: A Novel Relational Time Varying Classifier to Extract Temporal Information Using Genetic Algorithms. MLDM 2011: 568-583 - 2010
- [b2]Sule Gündüz Ögüdücü:
Web Page Recommendation Models: Theory and Algorithms. Synthesis Lectures on Data Management, Morgan & Claypool Publishers 2010, ISBN 978-3-031-00714-9 - [j4]Murat Göksedef, Sule Gündüz Ögüdücü:
Combination of Web page recommender systems. Expert Syst. Appl. 37(4): 2911-2922 (2010) - [j3]Gül Nildem Demir, Sima Uyar, Sule Gündüz Ögüdücü:
Multiobjective evolutionary clustering of Web user sessions: a case study in Web page recommendation. Soft Comput. 14(6): 579-597 (2010) - [c13]Sercan Sadi, Sule Gündüz Ögüdücü, A. Sima Etaner-Uyar:
An efficient community detection method using parallel clique-finding ants. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c12]Hüseyin Kaya, Sule Gündüz Ögüdücü:
A new approach for mutation analysis using data mining techniques. CISIM 2010: 205-210 - [c11]Ahmet Aycan Atak, Sule Gündüz Ögüdücü:
A Framework for Social Spam Detection Based on Relational Bayes Classifier. DMIN 2010: 71-77
2000 – 2009
- 2009
- [j2]Ainura Madylova, Sule Gündüz Ögüdücü:
Comparison of similarity measures for clustering Turkish documents. Intell. Data Anal. 13(5): 815-832 (2009) - [c10]Ainura Madylova, Sule Gündüz Ögüdücü:
A taxonomy based semantic similarity of documents using the cosine measure. ISCIS 2009: 129-134 - 2008
- [c9]Murat Göksedef, Sule Gündüz Ögüdücü:
Integration of the Pagerank Algorithm into Web Recommendation System. IADIS European Conf. Data Mining 2008: 19-28 - 2007
- [c8]Murat Göksedef, Sule Gündüz Ögüdücü:
A Consensus Recommender for Web Users. ADMA 2007: 287-299 - [c7]Gül Nildem Demir, Sima Uyar, Sule Gündüz Ögüdücü:
Graph-based sequence clustering through multiobjective evolutionary algorithms for web recommender systems. GECCO 2007: 1943-1950 - [c6]Bülent Yücesoy, Sule Gündüz Ögüdücü:
Comparison of semantic and single term similarity measures for clustering turkish documents. ICMLA 2007: 393-398 - 2006
- [j1]Sule Gündüz Ögüdücü, M. Tamer Özsu:
Incremental click-stream tree model: Learning from new users for web page prediction. Distributed Parallel Databases 19(1): 5-27 (2006) - [c5]Lei Chen, Sule Gündüz, M. Tamer Özsu:
Mixed Type Audio Classification with Support Vector Machine. ICME 2006: 781-784 - 2005
- [c4]Gül Nildem Demir, A. Sima Etaner-Uyar, Sule Gündüz Ögüdücü:
A new graph-based evolutionary approach to sequence clustering. ICMLA 2005 - 2003
- [b1]Sule Gündüz:
Recommendation models for web users: User interest model and click-stream tree (Web kullanıcıları için öneri modelleri: Kullanıcı ilgisi modeli ve tıklama izi ağacı). İstanbul Technical University, Turkey, 2003 - [c3]Sule Gündüz, M. Tamer Özsu:
Recommendation Models for User Accesses to Web Pages. ICANN 2003: 1003-1010 - [c2]Sule Gündüz, M. Tamer Özsu:
A Poisson Model for User Accesses to Web Pages. ISCIS 2003: 332-339 - [c1]Sule Gündüz, M. Tamer Özsu:
A Web page prediction model based on click-stream tree representation of user behavior. KDD 2003: 535-540
Coauthor Index
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last updated on 2024-10-23 20:29 CEST by the dblp team
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