Yayınlar & Eserler

Yayın Ağı
Makaleler 45
Tümü (45)
SCI-E, SSCI, AHCI (36)
SCI-E, SSCI, AHCI, ESCI (40)
ESCI (4)
Scopus (43)
TRDizin (3)
Diğer Yayınlar (1)

1. Balancing accuracy and efficiency in fine‑grained image classification: a systematic comparison of CNN, vision transformer, and hybrid architectures

Öztaş D. M., Salehi H., Demir ., Açıcı K., Güzel M. S., Eraslan E. C., et al.
OESTERREICHISCHE BOTANISCHE ZEITSCHRIFT , cilt.312, sa.30, ss.1-19, 2026 (SCI-Expanded, Scopus) Creative Commons License

2. Learning continuous activation fields from microscopic SEM images of lycoperdioid fungi via CNN-guided neural operator modeling

Kumru E., Demir Ö., Ediş G., Ekinci F., Açıcı K., Aydın A., et al.
SCIENTIFIC REPORTS , cilt.1, sa.1, ss.1-41, 2026 (SCI-Expanded, Scopus)

3. Integrating scanning electron microscopy, explainable deep learning, and ITS sequencing for accurate identification in some species Geastrum

Kumru E., Altaş Ş., Ediş G., Ekinci F., Acici K., Güzel M. S., et al.
SCIENTIFIC REPORTS , cilt.1, sa.1, ss.1-40, 2026 (SCI-Expanded, Scopus)

4. Interpretable mycology: leveraging Kolmogorov–Arnold networks for high‑accuracy Lactarius species classification and comparative benchmarking

Kırık B., Uğurlu G., Aydın A., Ekinci F., Açıcı K., Kumru E., et al.
JOURNAL OF SUPERCOMPUTING , cilt.82, sa.413, ss.1-43, 2026 (SCI-Expanded, Scopus)

5. A comparative analysis of single- and dual-backbone deep learning architectures with explainable AI for cherry leaf disease classification

Altay H. T., Demir Ö., Ekinci F., Güzel M. S., Kumru E., Akata I., et al.
SCIENTIFIC REPORTS , cilt.1, sa.1, ss.1-41, 2026 (SCI-Expanded, Scopus)

6. Optimization of deep learning models andapplications of explainable artificial intelligence classification in some Tricholoma species

Ekinci F., Güzel M. S., Açıcı K., Aydoğan A., Altaş ., Altındal Ö. B., et al.
VISUAL COMPUTER , cilt.42, ss.1-27, 2026 (SCI-Expanded, Scopus) Creative Commons License

7. Investigating Tree-Based Models Across Positive–Unlabeled Learning Frameworks for Crystal Synthesizability Prediction

Aydın A., Eryılmaz Ü. K., Alkan O. B., Kocagöz P., Açıcı K., Ekinci F., et al.
ADVANCED THEORY AND SIMULATIONS , cilt.9, sa.4, ss.1-13, 2026 (SCI-Expanded, Scopus)

8. Hybrid deep learning approach for multi-label classification problem: genre prediction

Ünal F. Z., Güzel M. S., Ünal M., Ekinci F., Aşuroğlu T., Açıcı K.
NEURAL COMPUTING AND APPLICATIONS , cilt.38, ss.1-22, 2026 (Scopus) Creative Commons License

9. Enhancing crayfish sex identification with Kolmogorov-Arnold networks and stacked autoencoders

ATILKAN Y., Kirik B., Acikbas E. T., EKİNCİ F., AÇICI K., Asuroglu T., et al.
SCIENTIFIC REPORTS , cilt.16, sa.1, 2025 (SCI-Expanded, Scopus)

10. Improving early detection of Alzheimer’s disease through MRI slice selection and deep learning techniques

Şener B., AÇICI K., Sümer E.
Scientific Reports , cilt.15, sa.1, 2025 (SCI-Expanded, Scopus)

11. Advanced deep learning approaches for the automated classification of macrofungal species in biodiversity monitoring

ÖZSARI Ş., Kumru E., EKİNCİ F., GÜZEL M. S., AÇICI K., Aguroglu T., et al.
TRAKYA UNIVERSITY JOURNAL OF NATURAL SCIENCES , cilt.26, sa.2, ss.203-212, 2025 (ESCI, Scopus, TRDizin)

12. Advanced deep learning approaches for the accurate classification of Phallaceae fungi with explainable AI

Kumru E., Ekinci F., Açıcı K., Altındal Ö. B., Güzel M. S., Akata I.
TURKISH JOURNAL OF BOTANY , cilt.49, ss.1-18, 2025 (SCI-Expanded, Scopus)

13. Comparative Analysis of Machine and Deep Learning Algorithms for Bragg Peak Estimation in Polymeric Materials for Tissue-Sparing Radiotherapy

Açıcı K.
POLYMERS , cilt.17, sa.15, ss.1-37, 2025 (SCI-Expanded, Scopus) Creative Commons License

14. Hybrid Deep Learning Framework for High-Accuracy Classification of Morphologically Similar Puffball Species Using CNN and Transformer Architectures

Kumru E., Ugurlu G., Sevindik M., EKİNCİ F., GÜZEL M. S., AÇICI K., et al.
Biology , cilt.14, sa.7, 2025 (SCI-Expanded, Scopus)

15. Classification of Mycena and Marasmius Species Using Deep Learning Models: An Ecological and Taxonomic Approach

EKİNCİ F., Ugurlu G., Ozcan G. S., AÇICI K., Asuroglu T., Kumru E., et al.
SENSORS , cilt.25, sa.6, 2025 (SCI-Expanded, Scopus) Creative Commons License

16. Comparison of X-Ray Absorption in Mandibular Tissues and Tissue-Equivalent Polymeric Materials Using PHITS Monte Carlo Simulations

Gökçekuyu Y., Ekinci F., Büyüksungur A., Güzel M. S., Açıcı K., Asuroğlu T.
APPLIED SCIENCES-BASEL , cilt.14, sa.23, 2024 (SCI-Expanded, Scopus)

17. Deep Learning-Based Classification of Macrofungi: Comparative Analysis of Advanced Models for Accurate Fungi Identification

Ozsari Ş., Kumru E., Ekinci F., Akata I., Guzel M. S., Acici K., et al.
SENSORS , cilt.24, sa.22, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

18. Development of a New Non-Destructive Analysis Method in Cultural Heritage with Artificial Intelligence

Bilici Genc B., BOSTANCI G. E., Eskici B., Erten H., Caglar Eryurt B., AÇICI K., et al.
Electronics (Switzerland) , cilt.13, sa.20, 2024 (SCI-Expanded, Scopus) Creative Commons License

19. Artificial Intelligence in Biomaterials: A Comprehensive Review

Gokcekuyu Y., Ekinci F., GÜZEL M. S., Acici K., Aydin S., Asuroglu T.
APPLIED SCIENCES-BASEL , cilt.14, sa.15, 2024 (SCI-Expanded, Scopus) Creative Commons License Sürdürülebilir Kalkınma

20. The Future of Microreactors: Technological Advantages, Economic Challenges, and Innovative Licensing Solutions with Blockchain

Ekinci F., GÜZEL M. S., Acici K., Asuroglu T.
APPLIED SCIENCES-BASEL , cilt.14, sa.15, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

21. Advancing Crayfish Disease Detection: A Comparative Study of Deep Learning and Canonical Machine Learning Techniques

ATILKAN Y., Kirik B., AÇICI K., Benzer R., Ekinci F., GÜZEL M. S., et al.
APPLIED SCIENCES-BASEL , cilt.14, sa.14, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

22. Exploring Blockchain for Nuclear Material Tracking: A Scoping Review and Innovative Model Proposal

Ecemis I. N., Ekinci F., AÇICI K., GÜZEL M. S., MEDENİ İ. T., Asuroglu T.
ENERGIES , cilt.17, sa.12, 2024 (SCI-Expanded, Scopus) Creative Commons License

23. Categorization of Alzheimer’s disease stages using deep learning approaches with McNemar’s test

Şener B., Açıcı K., Sümer E.
PEERJ COMPUTER SCIENCE , cilt.10, ss.1-30, 2024 (SCI-Expanded, Scopus)

24. Cloud type classification using deep learning with cloud images

Güzel M. S., Kalkan M., Bostancı G. E., Açıcı K., Aşuroğlu T.
PEERJ COMPUTER SCIENCE , cilt.10, ss.1-28, 2024 (SCI-Expanded, Scopus) Creative Commons License

25. Enhancing Tissue Equivalence in 7Li Heavy Ion Therapy with MC Algorithm Optimized Polymer-Based Bioinks

Ekinci F., Açıcı K., Asuroglu T.
JOURNAL OF FUNCTIONAL BIOMATERIALS , cilt.14, sa.12, 2023 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

26. MC TRIM Algorithm in Mandibula Phantom in Helium Therapy

Ekinci F., AÇICI K., Asuroglu T., EMEK SOYLU B.
HEALTHCARE , cilt.11, sa.18, 2023 (SCI-Expanded, SSCI, Scopus) Sürdürülebilir Kalkınma

27. Crohn's Disease Prediction Using Sequence Based Machine Learning Analysis of Human Microbiome

Unal M., Bostanci E., Ozkul C., Acici K., Asuroglu T., Guzel M. S.
DIAGNOSTICS , cilt.13, sa.17, 2023 (SCI-Expanded, Scopus)

28. Deep Learning in Diagnosis of Dental Anomalies and Diseases: A Systematic Review

Sivari E., Senirkentli G. B., BOSTANCI G. E., GÜZEL M. S., AÇICI K., Asuroglu T.
Diagnostics , cilt.13, sa.15, 2023 (SCI-Expanded, Scopus) Creative Commons License

29. Monte Carlo Simulation of TRIM Algorithm in Ceramic Biomaterial in Proton Therapy

Ekinci F., Asuroglu T., Acici K.
MATERIALS , cilt.16, sa.13, 2023 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

30. Multilabel Genre Prediction Using Deep-Learning Frameworks

Ünal F. Z., Güzel M. S., Bostancı G. E., Açıcı K., Aşuroğlu T.
APPLIED SCIENCES , cilt.13, sa.15, ss.1-21, 2023 (SCI-Expanded, Scopus)

31. Deep-Learning-Based Approaches for Semantic Segmentation of Natural Scene Images: A Review

EMEK SOYLU B., GÜZEL M. S., BOSTANCI G. E., EKİNCİ F., Asuroglu T., AÇICI K.
ELECTRONICS , cilt.12, sa.12, 2023 (SCI-Expanded, Scopus) Creative Commons License Sürdürülebilir Kalkınma

32. Airborne imagery and lidar based 3D reconstruction using commercial drones

Açıcı K., Erdal Ö. M., Yılmaz A., Ünal M., Bostancı G. E., Güzel M. S.
Communications Faculty of Sciences University of Ankara Series A2-A3: Physical Sciences and Engineering , cilt.65, sa.1, ss.16-29, 2023 (TRDizin)

33. Semantic Segmentation with High-Resolution Sentinel-1 SAR Data

Erten H., Bostanci E., Acici K., Guzel M. S., Asuroglu T., Aydin A.
APPLIED SCIENCES-BASEL , cilt.13, sa.10, 2023 (SCI-Expanded, Scopus)

34. Machine Learning Analysis of RNA-seq Data for Diagnostic and Prognostic Prediction of Colon Cancer

Bostanci E., Kocak E., Unal M., Guzel M. S., Açıcı K., Asuroglu T.
SENSORS , cilt.23, sa.6, 2023 (SCI-Expanded, Scopus) Creative Commons License

35. A New Approach for Gastrointestinal Tract Findings Detection and Classification: Deep Learning-Based Hybrid Stacking Ensemble Models

Sivari E., BOSTANCI G. E., GÜZEL M. S., AÇICI K., Asuroglu T., Ercelebi Ayyildiz T.
DIAGNOSTICS , cilt.13, sa.4, 2023 (SCI-Expanded, Scopus)

36. Interpretation of Magnetic Resonance Images of Temporomandibular Joint Disorders by Using Deep Learning

Özsarı Ş., Yapicioglu F. R., Yilmaz D., Kamburoglu K., Guzel M. S., Bostanci G. E., et al.
IEEE ACCESS , cilt.11, ss.49102-49113, 2023 (SCI-Expanded, Scopus)

37. Comparison of different machine learning approaches to detect femoral neck fractures in x-ray images

Acici K., Sumer E., Beyaz S.
HEALTH AND TECHNOLOGY , cilt.11, sa.3, ss.643-653, 2021 (ESCI, Scopus)

38. Femoral neck fracture detection in X-ray images using deep learning and genetic algorithm approaches

Beyaz S., Acici K., Sumer E.
JOINT DISEASES AND RELATED SURGERY , cilt.31, sa.2, ss.175-183, 2020 (SCI-Expanded, Scopus, TRDizin)

39. T4SS Effector Protein Prediction with Deep Learning

Acici K., Asuroglu T., Erdas C. B., Ogul H.
DATA , cilt.4, sa.1, 2019 (ESCI, Scopus) Creative Commons License

40. HANDY: A Benchmark Dataset for Context-Awareness via Wrist-Worn Motion Sensors

Acici K., Erdas C. B., Asuroglu T., Ogul H.
DATA , cilt.3, sa.3, 2018 (ESCI, Scopus)

41. Parkinson's disease monitoring from gait analysis via foot-worn sensors

Asuroglu T., Acici K., Erdas C. B., Toprak M. K., Erdem H., Ogul H.
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING , cilt.38, sa.3, ss.760-772, 2018 (SCI-Expanded, Scopus)

42. Aktivite Tanımada Yapay Sinir Ağları ve Genetik Programlama Yöntemlerinin Karşılaştırılması

Erdaş Ç. B., Aşuroğlu T., Açıcı K., Oğul H.
Akıllı Sistemlerde Yenilikler ve Uygulamaları Sempozyumu BİLDİRİLER KİTABI , cilt.1, sa.1, ss.62-66, 2018 (Düzenli olarak gerçekleştirilen hakemli kongrenin bildiri kitabı)

43. A random forest method to detect parkinson’s disease via gait analysis

Açıcı K., Erdaş Ç. B., Aşuroğlu T., Kılınç Toprak M., Erdem H., Oğul H.
COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE , cilt.744, ss.609-619, 2017 (Scopus)

44. Integrating Features for Accelerometer-based Activity Recognition

Erdaş Ç. B., Atasoy I., Açıcı K., Oğul H.
PROCEDIA COMPUTER SCIENCE , cilt.98, ss.522-527, 2016 (Scopus)

45. Retrieving relevant experiments: The case of microRNA microarrays

Acici K., Terzi Y. K., Ogul H.
BIOSYSTEMS , cilt.134, ss.71-78, 2015 (SCI-Expanded, Scopus)
Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 20

1. Multimodal Machine Learning Approach for Timed-Up-and-Go Test Score Prediction from Wearable Gait Data

Faiem N., Asuroglu T., AÇICI K., Kallonen A., van Gils M.
2nd Nordic Conference on Digital Health and Wireless Solutions, NCDHWS 2026, Oulu, Finlandiya, 16 - 17 Haziran 2026, cilt.3010 CCIS, ss.31-50, (Tam Metin Bildiri) Creative Commons License

2. Enchancing SOC Estimation Hybrid RNN Models for Li-Ion Batteries Under Various Temperatures

Sert E., Küçükkurt B., Bektas A., Ekinci U. B., EKİNCİ F., AÇICI K.
7th IEEE Global Power, Energy and Communication Conference, GPECOM 2025, Bochum, Almanya, 11 - 13 Haziran 2025, ss.13-18, (Tam Metin Bildiri) Creative Commons License Sürdürülebilir Kalkınma

3. Assessment of Parkinson’s Disease Severity Using Gait Data: A Deep Learning-Based Multimodal Approach

Faiem N., Aşuroğlu T., Açıcı K., Kallonen A., Van Gils M.
First Nordic Conference, NCDHWS 2024, Oulu, Finlandiya, 7 - 08 Mayıs 2024, ss.29-48, (Tam Metin Bildiri) Creative Commons License

4. Unsupervised Learning for Characterizing Type IV Secreted Effectors

AÇICI K., Asuroglu T.
4th International Conference on Applied Artificial Intelligence, ICAPAI 2024, Halden, Norveç, 16 Nisan 2024, (Tam Metin Bildiri)

5. Development of a Simulator for UAV Swarm Operation Planning using Evolutionary Algorithms

Aydın M., Bostancı G. E., Güzel M. S., Açıcı K.
Cognitive Models and Artificial Intelligence Conference, Ankara, Türkiye, 26 - 28 Ekim 2023, cilt.6, ss.13-17, (Tam Metin Bildiri) Creative Commons License

6. A Reverse Engineering Tool that Directly Injects Shellcodes to the Code Caves in Portable Executable Files.

Açıcı K., Uğurlu G.
5. International Conference on Theoretical and Applied Computer Science and Engineering 2022, İstanbul, Türkiye, 30 Eylül - 01 Ekim 2022, (Yayınlanmadı)

7. An Analysis Tool that Detects The Code Caves in Specified Sizes for Portable Executable Files

Uğurlu G., Açıcı K.
5. International Conference on Theoretical and Applied Computer Science and Engineering, İstanbul, Türkiye, 30 Eylül - 01 Ekim 2022, (Yayınlanmadı)

8. HATA AYIKLAYICI KULLANARAK HATA AYIKLAMAYI ÖNLEME YÖNTEMLERİNİ AŞMAK

Uğurlu G., Açıcı K.
INTERNATIONAL SCIENTIFIC RESEARCH CONGRESS DEDICATED TO THE 30TH ANNIVERSARY OF BAKU EURASIA UNIVERSITY, Baku, Azerbaycan, 27 - 28 Nisan 2022, ss.391-397, (Tam Metin Bildiri)

9. An Analysis Tool that Detects The Code Caves in Specified Sizes for Portable Executable Files

Ugurlu G., AÇICI K.
5th International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE), İstanbul, Türkiye, 29 Eylül - 01 Ekim 2022, ss.38-41, (Tam Metin Bildiri)

10. A Reverse Engineering Tool that Directly Injects Shellcodes to the Code Caves in Portable Executable Files

AÇICI K., Ugurlu G.
5th International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE), İstanbul, Türkiye, 29 Eylül - 01 Ekim 2022, ss.42-45, (Tam Metin Bildiri)

11. Derin Öğrenme ve Genetik Algoritma Yaklaşımları Kullanılarak X-Ray Görüntülerinde Femur Boyun Kırığı Tespiti

Beyaz S., Açıcı K., Sümer E.
Uluslararası Sağlıkta Yapay Zeka Kongresi 2020, İzmir, Türkiye, 16 - 18 Ocak 2020, cilt.30, ss.69, (Özet Bildiri) Creative Commons License

12. Aktivite Tanımada Yapay Sinir Ağları ve Genetik Programlama Yöntemlerinin Karşılaştırılması

Erdaş Ç. B., Aşuroğlu T., Açıcı K., Oğul H.
Akıllı Sistemler ve Uygulamaları , Antalya, Türkiye, 5 - 07 Ekim 2017, cilt.1, ss.62-66, (Özet Bildiri)

13. Integrating features of accelorometer based for tremor recognition

Toprak M. K., Avci A. Y., Acici K., Erdas B., Ogul H.
23rd World Congress of Neurology (WCN), Kyoto, Japonya, 16 - 21 Eylül 2017, cilt.381, ss.362, (Özet Bildiri)

14. Information retrieval in metal music sub-genres Metal Müzik Alt Türlerinde Bilgi Geri-Getirimi

Acici K., Asuroglu T., Ogul H.
25th Signal Processing and Communications Applications Conference, SIU 2017, Antalya, Türkiye, 15 - 18 Mayıs 2017, (Tam Metin Bildiri)

15. A Random Forest Method to Detect Parkinson's Disease via Gait Analysis

Acici K., Erdas C. B., Asuroglu T., Toprak M. K., Erdem H., Ogul H.
18th International Conference on Engineering Applications of Neural Networks (EANN), Athens, Yunanistan, 25 - 27 Ağustos 2017, cilt.744, ss.609-619, (Tam Metin Bildiri)

16. Integrating features for accelerometer-based activity recognition

Erdas C. B., Atasoy I., Acici K., Ogul H.
7th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN) / 6th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH), London, Kanada, 19 - 22 Eylül 2016, cilt.98, ss.522-527, (Tam Metin Bildiri)

17. Texture of Activities: Exploiting Local Binary Patterns for Accelerometer Data Analysis

Asuroglu T., Acici K., Erdas C. B., Ogul H.
12th International Conference on Signal-Image Technology and Internet-Based Systems (SITIS), Naples, İtalya, 28 Kasım - 01 Aralık 2016, ss.135-138, (Tam Metin Bildiri)

18. Inferring Microarray Relevance By Enrichment Of Chemotherapy Resistance-Based MicroRNA Sets

Acici K., Ogul H.
19th IEEE International Conference on Intelligent Engineering Systems (INES), Bratislava, Slovakya, 3 - 05 Eylül 2015, ss.389-393, (Tam Metin Bildiri)

19. Comparison of Similarity Metrics in Microarray Experiment Retrieval

Acici K., Ogul H.
23nd Signal Processing and Communications Applications Conference (SIU), Malatya, Türkiye, 16 - 19 Mayıs 2015, ss.927-930, (Tam Metin Bildiri)

20. Sensitive prediction of bacterial type IV effectors Bakteriyel tip IV efektörlerinin duyarli{dotless} tahmini

Açıcı K., Şener D. D., Oğul H.
2014 18th National Biomedical Engineering Meeting, BIYOMUT 2014, İstanbul, Türkiye, 16 - 17 Ekim 2014, (Tam Metin Bildiri)
Kitaplar 1

1. İşletme Yönetiminde Makine Öğrenmesi Uygulamaları

Açıcı K.
Dijital Çağda İşletme Yönetimi , Selay Ilgaz Sümer,Emre Sümer, Editör, Gazi Yayın Dağıtım, Ankara, ss.49-71, 2022