Yayınlar & Eserler

Yayın Ağı
Makaleler 22
Tümü (22)
SCI-E, SSCI, AHCI (17)
SCI-E, SSCI, AHCI, ESCI (19)
ESCI (1)
Scopus (18)
TRDizin (2)
Diğer Yayınlar (3)

1. CALPAGAN: Calorimetry for Particles Using Generative Adversarial Networks

Simsek E., IŞILDAK B., Dogru A., Aydogan R., Bayrak B., ERTEKİN BOLELLİ Ş.
Progress of Theoretical and Experimental Physics , cilt.2024, sa.8, 2024 (SCI-Expanded, Scopus) identifier identifier identifier

2. Hierarchical reinforcement Thompson composition

Tanık G. O., ERTEKİN BOLELLİ Ş.
Neural Computing and Applications , cilt.36, sa.20, ss.12317-12326, 2024 (SCI-Expanded, Scopus) Creative Commons License identifier

3. Time Series Prediction of Solar Power Generation Using Trend Decomposition

Kavakci G., Cicekdag B., ERTEKİN BOLELLİ Ş.
Energy Technology , cilt.12, sa.2, 2024 (SCI-Expanded, Scopus) identifier identifier

4. Linking COVID-19 Perception With Socioeconomic Conditions Using Twitter Data

Sert E., Okan O., Ozbilen A., ERTEKİN BOLELLİ Ş., ÖZDEMİR S.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS , cilt.9, sa.2, ss.394-405, 2022 (SCI-Expanded, SSCI, Scopus) identifier identifier

5. Penetration rate prediction in heterogeneous formations: A geomechanical approach through machine learning

Kor K., Ertekin S., Yamanlar Ş., Altun G.
Journal of Petroleum Science and Engineering , cilt.207, 2021 (SCI-Expanded, Scopus) identifier identifier

6. Solar Power Prediction with an Hour-based Ensemble Machine Learning Method

ERTEKİN BOLELLİ Ş.
Hittite Journal of Science and Engineering , cilt.7, sa.1, ss.35-40, 2020 (TRDizin)

7. A feature-based hybrid ARIMA-ANN model for univariate time series forecasting

Buyuksahin U. C., ERTEKİN BOLELLİ Ş.
JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY , cilt.35, sa.1, ss.467-478, 2020 (SCI-Expanded, Scopus, TRDizin) Creative Commons License identifier identifier

8. Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition

Buyuksahin U. C., Ertekina Ş.
NEUROCOMPUTING , cilt.361, ss.151-163, 2019 (SCI-Expanded, Scopus) Creative Commons License identifier identifier

9. Learning customized and optimized lists of rules with mathematical programming

Rudin C., Ertekin Ş.
MATHEMATICAL PROGRAMMING COMPUTATION , cilt.10, ss.659-702, 2018 (ESCI, Scopus) identifier identifier

10. Joint optimization of ordering and maintenance with condition monitoring data

Moghaddass R., Ertekin Bolelli Ş.
ANNALS OF OPERATIONS RESEARCH , cilt.263, ss.271-310, 2018 (SCI-Expanded, Scopus) identifier identifier

11. Industry 4.0 and Turkish National Innovation System: Challenges and Prospect

ERDİL E., ERTEKİN BOLELLİ Ş.
TEKPOL Working Paper Series STPS-WP-18/01; , 2018 (Hakemsiz Dergi)

12. Industry 4.0 and Turkish National Innovation System: Challenges and Prospects

ERDİL E., ERTEKİN BOLELLİ Ş.
International Scientific Journal Industry 4.0 , cilt.2, ss.197-200, 2017 (Hakemli Dergi)

13. A Bayesian Approach to Learning Scoring Systems

ERTEKİN BOLELLİ Ş., Rudin C.
BIG DATA , cilt.3, sa.4, ss.267-276, 2015 (SCI-Expanded, Scopus) identifier identifier

14. REACTIVE POINT PROCESSES: A NEW APPROACH TO PREDICTING POWER FAILURES IN UNDERGROUND ELECTRICAL SYSTEMS

Ertekin Ş., Rudin C., Mccormick T. H.
ANNALS OF APPLIED STATISTICS , cilt.9, ss.122-144, 2015 (SCI-Expanded, Scopus) identifier identifier

15. Approximating the crowd

Ertekin Ş., Rudin C., Hirsh H.
DATA MINING AND KNOWLEDGE DISCOVERY , cilt.28, ss.1189-1221, 2014 (SCI-Expanded, Scopus) identifier identifier

16. Analytics for Power Grid Distribution Reliability in New York City

Rudin,Rudin C., Ertekin Ş., Passonneau R., Radeva,Radeva A., Tomar A., Xie,Xie B., et al.
INTERFACES , cilt.44, ss.364-383, 2014 (SCI-Expanded, SSCI, Scopus) Creative Commons License identifier identifier

17. CLASS IMBALANCE AND ACTIVE LEARNING

Attenberg J., Ertekin Ş.
IMBALANCED LEARNING: FOUNDATIONS, ALGORITHMS, AND APPLICATIONS , ss.101-149, 2013 (Hakemli Dergi) identifier

18. On Equivalence Relationships Between Classification and Ranking Algorithms

Ertekin Ş., Rudin C.
JOURNAL OF MACHINE LEARNING RESEARCH , cilt.12, ss.2905-2929, 2011 (SCI-Expanded, Scopus) identifier identifier

19. Nonconvex Online Support Vector Machines

Ertekin Ş., Bottou L., Giles C. L.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE , cilt.33, ss.368-381, 2011 (SCI-Expanded, Scopus) identifier identifier identifier

20. Clustering scientific literature using sparse citation graph analysis

Bolelli L., Ertekin Ş., Giles C. L.
KNOWLEDGE DISCOVERY IN DATABASES: PKDD 2006, PROCEEDINGS , cilt.4213, ss.30-41, 2006 (SCI-Expanded, Scopus) identifier

21. Efficient name disambiguation for large-scale databases

Huang J., Ertekin Ş., Giles C. L.
KNOWLEDGE DISCOVERY IN DATABASES: PKDD 2006, PROCEEDINGS , cilt.4213, ss.536-544, 2006 (SCI-Expanded, Scopus) identifier

22. Fast kernel classifiers with online and active learning

Bordes A., Ertekin Ş., Weston J., Bottou L.
JOURNAL OF MACHINE LEARNING RESEARCH , cilt.6, ss.1579-1619, 2005 (SCI-Expanded, Scopus) identifier identifier
Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 30

1. TY-RIST: Tactical YOLO Tricks for Real-time Infrared Small Target Detection

Atrash A., ERTEKİN BOLELLİ Ş., UĞUR Ö., Moured O., Chen Y., Zhang J.
the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, Amerika Birleşik Devletleri, 23 Ekim 2025, ss.2201-2210, (Tam Metin Bildiri)

2. Enhanced Thermal Human Detection with Fast Filtering for UAV Images

Ozyurt U., Cicekdag B., budak z. d., ERTEKİN BOLELLİ Ş.
4th IEEE International Informatics and Software Engineering Conference (IISEC), Ankara, Türkiye, 21 Aralık 2023, (Tam Metin Bildiri) identifier

3. Machine Learning Based Radar Cross-Section Clustering Towards Enhanced Situational Awareness for Next-Generation Fighter Aircraft

Ozdemir M. R., Kucuk A. F., Inalhan G., Başpınar B., ERTEKİN BOLELLİ Ş.
43rd AIAA DATC/IEEE Digital Avionics Systems Conference, DASC 2024, California, Amerika Birleşik Devletleri, 29 Eylül - 03 Ekim 2024, (Tam Metin Bildiri) identifier

4. Sabit Kanatlı Askeri Hava Araçları için Lokal/Dinamik Hareket Planlama Çalışmaları

Ozdemir R., ERTEKİN BOLELLİ Ş.
10. SAVUNMA TEKNOLOJİLERİ KONGRESİ (SAVTEK), Ankara, Türkiye, 13 Eylül 2022, (Tam Metin Bildiri)

5. SİNİR AĞLARI İLE ATIŞ ÖNCESİ DEĞER HESAPLAMA

Gorgulu T., Demirkan M., Tanik G. O., ERTEKİN BOLELLİ Ş.
10. SAVUNMA TEKNOLOJİLERİ KONGRESİ, Ankara, Türkiye, 13 Eylül 2022, (Tam Metin Bildiri)

6. Bayes Derin Aktif Ögrenmede Mod Çökmesi Problemini Iyilestirme

Col Duymus P. E., ERTEKİN BOLELLİ Ş.
30th Signal Processing and Communications Applications Conference (SIU), Kastamonu, Türkiye, 15 Mayıs 2022, (Tam Metin Bildiri) identifier

7. Recursive Compositional Reinforcement Learning for Continuous Control Sürekli Kontrol Uygulamalari için Özyinelemeli Bileşimsel Pekiştirmeli Öǧrenme

Tanik G. O., Ertekin S.
30th Signal Processing and Communications Applications Conference, SIU 2022, Safranbolu, Türkiye, 15 - 18 Mayıs 2022, (Tam Metin Bildiri) identifier

8. Feature Dimensionality Reduction with Variational Autoencoders in Deep Bayesian Active Learning.

Col P. E., ERTEKİN BOLELLİ Ş.
29th Signal Processing and Communications Applications Conference (SIU 2021), İstanbul, Türkiye, 09 Haziran 2021, (Tam Metin Bildiri) identifier identifier

9. AI-based Air-to-Surface Mission Planning for Opportunity Targets using Predictive LAR Approach.

Ozdemir R., Cevher L., ERTEKİN BOLELLİ Ş.
8th International Conference on Military Technologies (ICMT 2021), Brno, Çek Cumhuriyeti, 08 Haziran 2021, (Tam Metin Bildiri)

10. 1. AI-based Air-to-Surface Mission Planning for Opportunity Targets using Predictive LAR Approach

Ertekin Bolelli Ş., Ozdemir R.
International Conference on Military Technologies, Brno, Çek Cumhuriyeti, 9 - 11 Haziran 2021, ss.1-8, (Tam Metin Bildiri)

11. 2. Feature Dimensionality Reduction with Variational Autoencoders in Deep Bayesian Active Learning

Ertekin Bolelli Ş., Col P. E.
29th Signal Processing and Communications Applications Conference (SIU), İstanbul, Türkiye, 9 - 11 Haziran 2021, cilt.1, sa.1, ss.1-4, (Tam Metin Bildiri)

12. AI-based Air-to-Surface Mission Planning using Predictive Launch Acceptability Region Approach

Ozdemir M. R., Cevher L., Ertekin S.
8th International Conference on Military Technologies, ICMT 2021, Brno, Çek Cumhuriyeti, 8 - 11 Haziran 2021, (Tam Metin Bildiri) identifier

13. Ensemble of Convolutional Neural Networks for Classification of Breast Microcalcification from Mammograms

SERT E., ERTEKIN Ş., HALICI U.
39th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), Güney Kore, 11 - 15 Temmuz 2017, ss.689-692, (Tam Metin Bildiri) Sürdürülebilir Kalkınma identifier identifier identifier

14. Approximating the Crowd with a Budget

ERTEKİN BOLELLİ Ş., Rudin C., Hirsh H.
European Conference on Machine Learning and Practice of Knowledge Discovery in Databases (ECML/PKDD), Nancy, Fransa, 15 - 19 Eylül 2014, (Tam Metin Bildiri)

15. Predicting Power Failures with Reactive Point Processes

ERTEKİN BOLELLİ Ş., Rudin C., McCormick T.
17th AAAI Conference on Late-Breaking Developments in the Field of Artificial Intelligence, Bellevue, Amerika Birleşik Devletleri, 29 Haziran 2013, (Tam Metin Bildiri)

16. Adaptive Oversampling for Imbalanced Data Classification

Ertekin Ş.
28th International Symposium on Computer and Information Sciences (ISCIS), Paris, Fransa, 28 - 29 Ekim 2013, cilt.264, ss.261-269, (Tam Metin Bildiri) identifier identifier

17. Selective sampling of labelers for approximating the crowd

ERTEKİN BOLELLİ Ş., Hirsh H., Rudin C.
AAAI Fall Symposium on Machine Aggregation of Human Judgment, Darlington, Birleşik Krallık, 05 Kasım 2012, (Tam Metin Bildiri)

18. Learning to predict the wisdom of the crowds

ERTEKİN BOLELLİ Ş., Hirsh H., Rudin C.
Collective Intelligence Conference 2012, Boston, Amerika Birleşik Devletleri, 18 - 20 Nisan 2012, (Tam Metin Bildiri)

19. Approximating the wisdom of the crowd.

ERTEKİN BOLELLİ Ş., Hirsh H., Rudin C.
NIPS 2011 Second Workshop on Computational Social Science and the Wisdom of Crowds, Granada, Nikaragua, 17 Aralık 2011, (Tam Metin Bildiri)

20. Finding Topic Trends in Digital Libraries

Bolelli L., Ertekin Ş., Zhou D., Giles C. L.
9th Annual International ACM/IEEE Joint Conference on Digital Libraries, Texas, Amerika Birleşik Devletleri, 15 - 19 Haziran 2009, ss.69-72, (Tam Metin Bildiri) Creative Commons License identifier identifier

21. Topic and Trend Detection in Text Collections Using Latent Dirichlet Allocation

Bolelli L., Ertekin Ş., Giles C. L.
31st European Conference on Information Research, Toulouse, Fransa, 6 - 09 Nisan 2009, cilt.5478, ss.776-777, (Tam Metin Bildiri) Creative Commons License identifier identifier

22. Learning on the border: Active learning in imbalanced data classification

ERTEKİN BOLELLİ Ş., Huang J., Bottou L., Giles C. L.
16th ACM conference on Conference on information and knowledge management (CIKM 2007), Lisbon, Portekiz, 6 - 10 Ekim 2007, ss.127-136, (Tam Metin Bildiri)

23. Active learning for class imbalance problem

ERTEKİN BOLELLİ Ş., Huang J., Giles C. L.
SIGIR 2007 30th annual international ACM SIGIR conference on Research and development in information retrieval, Amsterdam, Hollanda, 23 - 27 Temmuz 2007, ss.823-824, (Tam Metin Bildiri)

24. A clustering method for web data with multi-type interrelated components

Bolelli L., ERTEKİN BOLELLİ Ş., Zhou D., Giles C. L.
WWW 2007 16th international conference on World Wide Web, Banff, Kanada, 8 - 12 Mayıs 2007, ss.1121-1122, (Tam Metin Bildiri)

25. K-SVMeans: A hybrid clustering algorithm for multi-type interrelated datasets

Bolelli L., Ertekin Ş., Zhou D., Giles C. L.
IEEE/WIC/ACM International Conference on Web Intelligence, California, Amerika Birleşik Devletleri, 2 - 05 Kasım 2007, ss.198-204, (Tam Metin Bildiri) identifier identifier

26. Efficient Multiclass Boosting Classification with Active Learning

Huang J., Ertekin Ş., Song Y., Zha H., Giles C. L.
7th SIAM International Conference on Data Mining, Minnesota, Amerika Birleşik Devletleri, 26 - 28 Nisan 2007, ss.297-308, (Tam Metin Bildiri) identifier identifier

27. Fast Classification with Online Support Vector Machines

ERTEKİN BOLELLİ Ş., Bottou L., Giles C. L.
Grace Hopper Celebration of Women in Computing, San Diego, Amerika Birleşik Devletleri, 4 - 07 Ekim 2006, (Tam Metin Bildiri)

28. Efficient Name Disambiguation for Large Scale Datasets.

Huang J., ERTEKİN BOLELLİ Ş., Giles C. L.
European Conference on Principles of Data Mining and Knowledge Discovery, Berlin, Almanya, 18 - 22 Eylül 2006, ss.536-544, (Tam Metin Bildiri)

29. Clustering Scientific Literature Using Sparse Citation Graph Analysis

Bolelli L., ERTEKİN BOLELLİ Ş., Giles C. L.
European Conference on Principles of Data Mining and Knowledge Discovery PKDD 2006: Knowledge Discovery in Databases, Berlin, Almanya, 18 - 22 Eylül 2006, ss.30-41, (Tam Metin Bildiri)

30. The Shape of the Web and Its Implications for Searching the Web

efe k., raghavan v., chu h., broadwater a., Bolelli L., ERTEKİN BOLELLİ Ş.
International Conference on Advances in Infrastructure for Electronic Business, Science, and Education on the Internet SSGRR 2000, L’xxAquila, İtalya, 31 Temmuz - 06 Ağustos 2000, (Tam Metin Bildiri)
Kitaplar 9

1. Türkiye”de Yapay Zekanın Gelişim için görüş ve Öneriler

ADALI E., AFYONLUOĞLU M., GÜVENİR H. A., ERGİN O., ERTEKİN BOLELLİ Ş., KARAKAYA Z., et al.
Türkiye Bilişim Derneği (TBD), Ankara, 2020

2. Forecasting of Product Quality Through Anomaly Detection

Dinc M., Ertekin Bolelli Ş., Ozkan H., Meydanli C., Atalay M. V.
Machine Learning and Knowledge Discovery in Databases, Cellier P.,Driessens K., Editör, Springer-Verlag , Basel, ss.357-366, 2020

3. Algorithms for Efficient Learning Systems: Online and Active Learning Approaches

ERTEKİN BOLELLİ Ş.
VDM Verlag, 2019

4. METU Smart Campus Project (iEAST)

ERTEKİN BOLELLİ Ş., KEYSAN O., GÖL M., Bayazit H., Yildiz T., Marr A., et al.
New Technologies, Development and Application II, Isak Karabegović, Editör, Springer, ss.287-297, 2019

5. Short-Term Electricity Consumption Forecast using Datasets of Various Granularities.

Arslan Y., Dilbaz A. Ş., ERTEKİN BOLELLİ Ş., Karagöz P., Birturk A. N., Eren S., et al.
Data Analytics for Renewable Energy Integration. Technologies, Systems and Society., Woon W., Aung Z., Catalina Feliú A., Madnick S., Editör, Springer, Cham, ss.116-126, 2018 Sürdürülebilir Kalkınma

6. Class Imbalance and Active Learning

Attenberg J., ERTEKİN BOLELLİ Ş.
Imbalanced Learning: Foundations, Algorithms, and Applications, Haibo He, Yunqian Ma, Editör, IEEE Press Wiley, Piscataway, ss.101-149, 2013

7. Topic and Trend Detection in Text Collections Using Latent Dirichlet Allocation

Bolelli L., ERTEKİN BOLELLİ Ş., Giles C. L.
Advances in Information Retrieval, Mohand Boughanem, Catherine Berrut, Josiane Mothe, Chantal Soule-Dupuy, Editör, Springer, Berlin, ss.776-780, 2009

8. Clustering Scientific Literature Using Sparse Citation Graph Analysis

Bolelli L., ERTEKİN BOLELLİ Ş., Giles C. L.
Knowledge Discovery in Databases: PKDD 2006, Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou, Editör, Springer, Berlin, ss.30-41, 2006

9. Efficient Name Disambiguation for Large-Scale Databases

Huang J., ERTEKİN BOLELLİ Ş., Giles C. L.
Knowledge Discovery in Databases: PKDD 2006, Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou, Editör, Springer, Berlin, ss.536-544, 2006
Metrikler

Yayın

73

Yayın (WoS)

28

Yayın (Scopus)

35

Atıf (WoS)

1089

H-İndeks (WoS)

14

Atıf (Scopus)

1236

H-İndeks (Scopus)

13

Atıf (Scholar)

2067

H-İndeks (Scholar)

17

Atıf (Diğer Toplam)

2

Proje

14

Tez Danışmanlığı

11

Açık Erişim

8
BM Sürdürülebilir Kalkınma Amaçları