Publications & Works

Publication Network
Articles 41
All (41)
SCI-E, SSCI, AHCI (32)
SCI-E, SSCI, AHCI, ESCI (36)
ESCI (4)
Scopus (39)
TRDizin (3)
Other Publications (1)

1. 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 , vol.82, no.413, pp.1-43, 2026 (SCI-Expanded, Scopus)

2. 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 , vol.42, pp.1-27, 2026 (SCI-Expanded, Scopus) Creative Commons License

3. 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 , vol.9, no.4, pp.1-13, 2026 (SCI-Expanded, Scopus)

4. 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 , vol.38, pp.1-22, 2026 (Scopus) Creative Commons License identifier

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

Şener B., AÇICI K., Sümer E.
Scientific Reports , vol.15, no.1, 2025 (SCI-Expanded, Scopus) identifier identifier identifier

6. 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 , vol.16, no.1, 2025 (SCI-Expanded, Scopus) identifier identifier identifier

7. 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 , vol.26, no.2, pp.203-212, 2025 (ESCI, Scopus, TRDizin) identifier identifier identifier

8. 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 , vol.49, pp.1-18, 2025 (SCI-Expanded, Scopus)

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

Açıcı K.
POLYMERS , vol.17, no.15, pp.1-37, 2025 (SCI-Expanded, Scopus) Creative Commons License identifier identifier identifier

10. 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 , vol.14, no.7, 2025 (SCI-Expanded, Scopus) identifier identifier identifier

11. 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 , vol.25, no.6, 2025 (SCI-Expanded, Scopus) Creative Commons License identifier identifier identifier

12. 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 , vol.14, no.23, 2024 (SCI-Expanded, Scopus) identifier identifier

13. 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 , vol.24, no.22, 2024 (SCI-Expanded, Scopus) Sustainable Development identifier identifier identifier

14. 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) , vol.13, no.20, 2024 (SCI-Expanded, Scopus) Creative Commons License identifier

15. Artificial Intelligence in Biomaterials: A Comprehensive Review

Gokcekuyu Y., Ekinci F., GÜZEL M. S., Acici K., Aydin S., Asuroglu T.
APPLIED SCIENCES-BASEL , vol.14, no.15, 2024 (SCI-Expanded, Scopus) Creative Commons License Sustainable Development identifier identifier

16. 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 , vol.14, no.15, 2024 (SCI-Expanded, Scopus) Sustainable Development identifier identifier

17. 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 , vol.14, no.14, 2024 (SCI-Expanded, Scopus) Sustainable Development identifier identifier

18. 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 , vol.17, no.12, 2024 (SCI-Expanded, Scopus) Creative Commons License identifier identifier

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

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

20. Cloud type classification using deep learning with cloud images

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

21. 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 , vol.14, no.12, 2023 (SCI-Expanded, Scopus) Sustainable Development identifier identifier identifier

22. MC TRIM Algorithm in Mandibula Phantom in Helium Therapy

Ekinci F., AÇICI K., Asuroglu T., EMEK SOYLU B.
HEALTHCARE , vol.11, no.18, 2023 (SCI-Expanded, SSCI, Scopus) Sustainable Development identifier identifier identifier

23. 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 , vol.13, no.17, 2023 (SCI-Expanded, Scopus) identifier identifier identifier

24. 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 , vol.13, no.15, 2023 (SCI-Expanded, Scopus) Creative Commons License identifier identifier identifier

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

Ekinci F., Asuroglu T., Acici K.
MATERIALS , vol.16, no.13, 2023 (SCI-Expanded, Scopus) Sustainable Development identifier identifier identifier

26. Multilabel Genre Prediction Using Deep-Learning Frameworks

Ünal F. Z., Güzel M. S., Bostancı G. E., Açıcı K., Aşuroğlu T.
APPLIED SCIENCES , vol.13, no.15, pp.1-21, 2023 (SCI-Expanded, Scopus)

27. 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 , vol.12, no.12, 2023 (SCI-Expanded, Scopus) Creative Commons License Sustainable Development identifier identifier

28. 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 , vol.65, no.1, pp.16-29, 2023 (TRDizin)

29. 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 , vol.13, no.10, 2023 (SCI-Expanded, Scopus) identifier identifier

30. 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 , vol.23, no.6, 2023 (SCI-Expanded, Scopus) Creative Commons License identifier identifier identifier

31. 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 , vol.13, no.4, 2023 (SCI-Expanded, Scopus) identifier identifier identifier

32. 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 , vol.11, pp.49102-49113, 2023 (SCI-Expanded, Scopus) identifier identifier

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

Acici K., Sumer E., Beyaz S.
HEALTH AND TECHNOLOGY , vol.11, no.3, pp.643-653, 2021 (ESCI, Scopus) identifier identifier

34. 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 , vol.31, no.2, pp.175-183, 2020 (SCI-Expanded, Scopus, TRDizin) identifier identifier identifier

35. T4SS Effector Protein Prediction with Deep Learning

Acici K., Asuroglu T., Erdas C. B., Ogul H.
DATA , vol.4, no.1, 2019 (ESCI, Scopus) Creative Commons License identifier

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

Acici K., Erdas C. B., Asuroglu T., Ogul H.
DATA , vol.3, no.3, 2018 (ESCI, Scopus) identifier identifier

37. 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 , vol.38, no.3, pp.760-772, 2018 (SCI-Expanded, Scopus) identifier identifier

38. Comparison of Artificial Neural Networks and Genetic Programming Methods For Activity Recognition

Erdaş Ç. B., Aşuroğlu T., Açıcı K., Oğul H.
Akıllı Sistemlerde Yenilikler ve Uygulamaları Sempozyumu BİLDİRİLER KİTABI , vol.1, no.1, pp.62-66, 2018 (Conference Book)

39. 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 , vol.744, pp.609-619, 2017 (Scopus)

40. Integrating Features for Accelerometer-based Activity Recognition

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

41. Retrieving relevant experiments: The case of microRNA microarrays

Acici K., Terzi Y. K., Ogul H.
BIOSYSTEMS , vol.134, pp.71-78, 2015 (SCI-Expanded, Scopus) identifier identifier identifier
Papers Presented at Peer-Reviewed Scientific Conferences 19

1. 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, Germany, 11 - 13 June 2025, pp.13-18, (Full Text) Creative Commons License Sustainable Development identifier

2. 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, Finland, 7 - 08 May 2024, pp.29-48, (Full Text) Creative Commons License

3. Unsupervised Learning for Characterizing Type IV Secreted Effectors

AÇICI K., Asuroglu T.
4th International Conference on Applied Artificial Intelligence, ICAPAI 2024, Halden, Norway, 16 April 2024, (Full Text) identifier

4. 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, Turkey, 26 - 28 October 2023, vol.6, pp.13-17, (Full Text) Creative Commons License

5. 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, Turkey, 30 September - 01 October 2022, (Unpublished)

6. 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, Turkey, 30 September - 01 October 2022, (Unpublished)

7. Defeating Anti-Debugging Techniques Using A Debugger

Uğurlu G., Açıcı K.
INTERNATIONAL SCIENTIFIC RESEARCH CONGRESS DEDICATED TO THE 30TH ANNIVERSARY OF BAKU EURASIA UNIVERSITY, Baku, Azerbaijan, 27 - 28 April 2022, pp.391-397, (Full Text)

8. 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, Turkey, 29 September - 01 October 2022, pp.38-41, (Full Text) identifier identifier

9. 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, Turkey, 29 September - 01 October 2022, pp.42-45, (Full Text) identifier identifier

10. 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, Turkey, 16 - 18 January 2020, vol.30, pp.69, (Summary Text) Creative Commons License

11. Comparison of Artificial Neural Networks and Genetic Programming Methods For Activity Recognition

Erdaş Ç. B., Aşuroğlu T., Açıcı K., Oğul H.
Akıllı Sistemler ve Uygulamaları , Antalya, Turkey, 5 - 07 October 2017, vol.1, pp.62-66, (Summary Text)

12. 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, Japan, 16 - 21 September 2017, vol.381, pp.362, (Summary Text) identifier

13. 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, Turkey, 15 - 18 May 2017, (Full Text) identifier

14. 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, Greece, 25 - 27 August 2017, vol.744, pp.609-619, (Full Text) identifier identifier

15. 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, Canada, 19 - 22 September 2016, vol.98, pp.522-527, (Full Text) identifier identifier

16. 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, Italy, 28 November - 01 December 2016, pp.135-138, (Full Text) identifier identifier

17. Comparison of Similarity Metrics in Microarray Experiment Retrieval

Acici K., Ogul H.
23nd Signal Processing and Communications Applications Conference (SIU), Malatya, Turkey, 16 - 19 May 2015, pp.927-930, (Full Text) identifier

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, Slovakia, 3 - 05 September 2015, pp.389-393, (Full Text) identifier identifier

19. 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, Turkey, 16 - 17 October 2014, (Full Text) identifier
Books 1

1. İşletme Yönetiminde Makine Öğrenmesi Uygulamaları

Açıcı K.
in: Dijital Çağda İşletme Yönetimi , Selay Ilgaz Sümer,Emre Sümer, Editor, Gazi Yayın Dağıtım, Ankara, pp.49-71, 2022