International Journal  Articles

38. I. Türkmenli, E. Aptoula, K. Kayabol, KalmanMix: A Novel Domain Generalization Method for Flood Mapping Using Satellite Imagery, Remote Sensing Letters, Accepted, 2026

37. A. Khoshbakht, E. Aptoula, Hyperbolic Prototype Learning for Open-Set Joint HSI-LiDAR Classification, IEEE Geoscience and Remote Sensing Letters, Vol. 23., 5504105, 2026

36. E. Ghazaei, E. Aptoula, Efficient Remote Sensing Change Detection with Change State Space Models, IEEE Geoscience and Remote Sensing Letters, Vol. 23, 6000305, 2026

35. M. G. Duman, S. Koparal, A. Ertürk, E. Aptoula, AdLU: Adaptive double parametric activation functions, Digital Signal Processing, Vol 168, Part C, 105579, January, 2026

34. I. Turkmenli, E. Aptoula, K. Kayabol, HistSegNet: Histogram Layered Segmentation Network for SAR Image Based Flood Segmentation, IEEE Geoscience and Remote Sensing Letters, Vol. 21, 2024

33. S. F. Ismael, K. Kayabol, E. Aptoula, Unsupervised Domain Adaptation for the Semantic Segmentation of Remote Sensing Images via a Class-aware Fourier Transform and a Fine-grained Discriminator, Digital Signal Processing, Vol 151, August, 2024

32. S. F. Ismael, K. Kayabol, E. Aptoula, Unsupervised Domain Adaptation for the Semantic Segmentation of Remote Sensing Images via One-Shot Image-to-Image Translation, IEEE Geoscience and Remote Sensing Letters, Vol. 20, 2023

31. M. Ilteralp, S. Ariman, E. Aptoula, A Deep Multitask Semisupervised Learning Approach for Chlorophyll-a Retrieval from Remote Sensing Images, Remote Sensing, Vol. 14, No. 1, 2022 - PDF 

30. E. Aptoula, S. Ariman, Hierarchical Spatial-Spectral Features for the Chlorophyll-a Estimation of Lake Balik, Turkey, IEEE Geoscience and Remote Sensing Letters, Vol. 19, 2022

29. E. Aptoula, S. Ariman, Chlorophyll-a retrieval from Sentinel-2 images using convolutional neural network regression, IEEE Geoscience and Remote Sensing Letters, Vol. 19, 2022

28.  A. Salazar-Gomez, S. Parsons, E. Aptoula, P. Bosilj, Deep Regression versus Detection for Counting in Robotic Phenotyping, IEEE Robotics and Automation Letters, Vol 6, No 2, 2902 - 2907, April, 2021 

27. D. Santana Maia, M-T. Pham, E. Aptoula, F. Guiotte, S. Lefevre, Classification of remote sensing data with morphological attribute profiles: a decade of advances, IEEE Geoscience and Remote Sensing Magazine, Vol. 9, No. 3, 43 - 71, September, 2021

26. M. Bozo, E. Aptoula, Z. Cataltepe, A Discriminative Long Short Term Memory Network with Metric Learning Applied to Multispectral Time Series Classification, Journal of Imaging, Vol. 6, No. 8, 68, July, 2020 - PDF 

25. M. A. Dede, E. Aptoula, Y. Genç, Can additional spectral bands be estimated from aerial color images?, Turkish Journal of Electrical Engineering and Computer Sciences, 27, 1696 – 1703, 2019

24. P. Bosilj, E. Aptoula, T. Duckett, G. Cielniak, Transfer learning between crop types for semantic segmentation of crops versus weeds in precision agriculture, Journal of Field Robotics, March, 2019

23. M. A. Dede, E. Aptoula, Y. Genc, Deep network ensembles for aerial scene classification, IEEE Geoscience and Remote Sensing Letters, Vol. 16, No. 5, 732 - 735, May, 2019

22. A. Tombak, I. Turkmenli, E. Aptoula, K. Kayabol, Pixel-based Classification of SAR Images using Feature Attribute Profiles, IEEE Geoscience and Remote Sensing Letters, Vol. 16, No. 4, 564 - 567, April, 2019

21. A. A. Davari, E. Aptoula, B. Yanikoglu, A. Maier, C. Riess, GMM-Based Synthetic Samples for Classification of Hyperspectral Images with Limited Training Data, IEEE Geoscience and Remote Sensing Letters, Vol. 15, No. 6, 942 - 946, June, 2018

20. M-T. Pham, S. Lefevre, E. Aptoula, Local Feature-based Attribute Profiles for Optical Remote Sensing Image Classification, IEEE Transactions on Geoscience and Remote Sensing, Vol. 56, No. 2, 1199 - 1212, February, 2018

19. M-T. Pham, E. Aptoula, S. Lefevre, Feature profiles from attribute filtering for classification of remote sensing images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 11, No. 1, 249 - 256, January, 2018

18. B. Hwang, J. Ren, S. McCormack, C. Berry, I. Ben Ayed, H. C. Graber, E. Aptoula, A practical algorithm for the retrieval of floe size distribution of Arctic sea ice from high-resolution satellite Synthetic Aperture Radar imagery, Elementa, 5:38, 2017

17. M. M. Ghazi, B. Yanikoglu, E. Aptoula, Plant Identification Using Deep Neural Networks via Optimization of Transfer Learning Parameters, Neurocomputing, Vol. 235, 228 - 235, 2017

16. P. Bosilj, E. Aptoula, S. Lefevre, E. Kijak, Retrieval of Remote Sensing Images with Pattern Spectra Descriptors, ISPRS International Journal of Geo-Information, Special Issue: "Mathematical Morphology in Geoinformatics", Vol. 5, No. 12, 228, 2016 (Open Access)

15. E. Aptoula, M. C. Ozdemir, B. Yanikoglu, Deep Learning with Attribute Profiles for Hyperspectral Image Classification, IEEE Geoscience and Remote Sensing Letters, Vol. 13, No. 12, 2016

14. E. Aptoula, M. Dalla-Mura, S. Lefevre, Vector attribute profiles for hyperspectral image classification, IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, No. 6, 3208 - 3220, June, 2016

13. B. Ozkan, E. Aptoula, A. T. Heren, H. Mandaci, Optimisation of tractor semi-trailer command steering mechanism using a genetic algorithm, International Journal of Vehicle Design, Vol. 71, No.1/2/3/4, 258 - 278, 2016

12. E. Aptoula, Hyperspectral image classification with multi-dimensional attribute profiles, IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 10, 2031 - 2035, October 2015

11. B. Yanikoglu, E. Aptoula and C. Tirkaz, Automatic plant identification from photographs, Machine Vision and Applications, Vol. 25, No. 6, 1369 - 1383, August 2014

10. E. Aptoula, The impact of multivariate quasi-flat zones on the morphological description of hyperspectral images, International Journal of Remote Sensing, Vol. 35, No. 10, 3482 – 3498, May 2014

9. E. Aptoula, Remote sensing image retrieval with global morphological texture descriptors, IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, No. 5, 3023 – 3034, May 2014

8. E. Aptoula, Extending Morphological Covariance, Pattern Recognition, Vol. 45, No. 12, 4524 – 4535, December 2012

7. E. Aptoula, Comparative study of moment based parameterization for morphological texture description, Journal of Visual Communication and Image Representation, Vol. 23, No. 8, 1213 – 1224, November 2012

6. E. Aptoula and S. Lefèvre, Morphological description of color images for content-based retrieval, IEEE Transactions on Image Processing, Vol. 18, No. 11, 2505 – 2517, November 2009

5. E. Aptoula and S. Lefèvre, On the Morphological Processing of Hue, Image and Vision Computing, Vol. 27, No. 9, 1394 – 1401, August 2009

4. E. Aptoula, S. Lefèvre and Ch. Ronse, A Hit-Or-Miss Transform for Multivariate Images, Pattern Recognition Letters, Vol. 30, No. 8, 760 – 764, June 2009

3. E. Aptoula and S. Lefèvre, Alpha-trimmed lexicographical extrema for pseudo morphological image analysis, Journal of Visual Communication and Image Representation, Vol. 19, No. 3, 165 – 174, April 2008

2. E. Aptoula and S. Lefèvre, On lexicographical ordering in Multivariate Mathematical Morphology, Pattern Recognition Letters, Vol. 29, No. 2, 109 – 118, January 2008

1. E. Aptoula and S. Lefèvre, A Comparative Study on Multivariate Mathematical Morphology, Pattern Recognition, Vol. 40, No. 11, 2914 – 2929, November 2007

International Conference Papers

50. A. T. Aktan, U. Şen, E. Aptoula, B. Yanikoglu, DermaNet: Flexible-View Multi-Level Fusion for Hierarchical Dermoscopic–Clinical Lesion Classification, 11th ISIC Skin Analysis Workshop (MICCAI), Strasbourg, France, 2026

49. Elman Ghazaei, E. Aptoula, Remote sensing change detection with cross mLSTM, IEEE International Conference on Image Processing (IEEE ICIP), Tampere, Finland, September, 2026

48. A. Khoshbakht, E. Aptoula, Hierarchical Uncertainty-Aware Deep Simplex Classification for Open-Set Medical Image Recognition, IEEE Computer Vision and Pattern Recongition Workshops (IEEE CVPRW), Denver, USA, June, 2026

47. R. A. A. Saleh, L Álvarez-Rodríguez, B. Cordon, E. Garcia-Martin, E. Aptoula, J. de Moura, M.Ortega, Hmsanet: a Hierarchical Multi-scale Attention Network for Precise Retinal Layer Segmentation in Covid-19 Oct Images, IEEE World Congress on Computational Intelligence (IEEE WCCI), Maastricht, Netherlands, June, 2026

46. A. Abu Bakar, A. Khoshbakht, E. Aptoula, GEOSMAVIT: Geographical-context spectral-invariant multi-scale adaptive vision-language transformer, 15th IEEE Workshop on Hyperspectral Image and Signal Processing (IEEE WHISPERS), Bellaterra, Spain, November, 2025

45. S. Salehnia, E. Aptoula, O. Tastan, APA: Domain Generalization Using Frequency Based Augmentation, IEEE International Workshop on Machine Learning for Signal Processing (IEEE MLSP), Istanbul, Türkiye, September, 2025

44. A. Khoshbakht, E. Aptoula, Open-set domain generalization for hyperspectral image classification via evidential uncertainty quantification, 15th IEEE Workshop on Hyperspectral Image and Signal Processing (IEEE WHISPERS), Bellaterra, Spain, November, 2025

43. S. N. Büyükbaş, V. Süzerer, M. Thota, P. Bosilj, E. Aptoula, Hierarchical training improves consistency of pollen classification on the family level, IEEE International Conference on Image Processing (IEEE ICIP), Anchorage, USA, 2025

42. E. Böge, Y. Gunindi, M. B. Ertan, E. Aptoula, N. Alp and H. Ozkan, A Biologically Inspired Filter Significance Assessment Method for Model Explanation, 3rd World Conference on eXplainable Artificial Intelligence (XAI25), Istanbul, Türkiye, 2025 [PDF]

41. E. Ghazaei and E. Aptoula, Multi-layer Domain Generalization for the Semantic Segmentation of Optical Remote Sensing Images, IEEE Joint Urban Remote Sensing Event (IEEE JURSE), Tunisia, May, 2025

40. K. Aydin and E. Aptoula, Domain generalized remote sensing scene captioning via country-level geographic information, IEEE Joint Urban Remote Sensing Event (IEEE JURSE), Tunisia, May, 2025

39. I. Turkmenli, K. Kayabol and E. Aptoula, A Comparative Domain Generalization Study for SAR Image-Based Flood Segmentation, IEEE Joint Urban Remote Sensing Event (IEEE JURSE), Tunisia, May, 2025

38. E. Durakli, D. E. Turan, M. Thota, P. Bosilj, E. Aptoula, Band aware domain generalization for cross-country multispectral remote sensing scene classification, 14th IEEE Workshop on Hyperspectral Image and Signal Processing (IEEE WHISPERS), Helsinki, Finland, December, 2024

37. E. Durakli, E. Aptoula, P. Bosilj, C. Fox, A domain generalized mask r-cnn for building instance segmentation, IEEE Geoscience and Remote Sensing Symposium (IGARSS), Athens, Greece, July, 2024

36. F. Gul, E. Aptoula, A distance transform based loss function for the semantic segmentation of very high resolution remote sensing images, IEEE Geoscience and Remote Sensing Symposium (IGARSS), Athens, Greece, July, 2024

35. I. Turkmenli, K. Kayabol, E. Aptoula, A Smoothing Layer for SAR image Semantic Segmentation with fully convolutional networks, Joint Urban Remote Sensing Event, Heraklion (IEEE JURSE), Greece, May, 2023

34. D. E. Turan, E. Aptoula, A. Erturk, G. Taskin, Interpreting hyperspectral remote sensing image classification methods via explainable artificial intelligence, IEEE Geoscience and Remote Sensing Symposium (IGARSS), Pasadena (California), USA, July, 2023

33. K. Seemakurthy, P. Bosilj, E. Aptoula, C. Fox, Domain Generalised Fully Convolutional One Stage Detection, IEEE International Conference  on Robotics and Automation (ICRA), London, UK, 2023

32. K. Seemakurthy, C. Fox, E. Aptoula, P. Bosilj, Domain generalised Faster R-CNN, The 37th AAAI Conference on Artificial Intelligence, Washington DC, USA, 2023 - PDF 

31. H. K. Teloglu, E. Aptoula, A morphological-long short term memory network applied to crop classification, IEEE Geoscience and Remote Sensing Symposium (IGARSS), Kuala Lumpur, Malaysia, July, 2022

30. S. F. Ismael, E. Aptoula, K. Kayabol, A joint semantic segmentation loss function for imbalanced datasets, IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS), Virtual Symposium, March, 2022

29. I. Turkmenli, E. Aptoula, K. Kayabol, Superpixel based graph convolutional neural network for SAR image segmentation, SPIE Image and Signal Processing for Remote Sensing XXVII Conference, Online, September, 2021

28. M. Ilteralp and E. Aptoula, Processing Attribute Profiles As Scale-Series for Remote Sensing Image Classification, International Conference on Computer Vision Theory and Applications (VISAPP), Online, February, 2021

27. U. Derbashi and E. Aptoula, Attribute profiles without thresholds through histogram based tree path description, IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS), Tunis, Tunisia, March 2020

26. S. Atito, B. Yanikoglu, E. Aptoula, I Ganiyusufoglu, A. Yildiz, K. Yildirir, B. Sevilmis and M. U. Sen, Plant Identification with Deep Learning Ensembles, In CLEF working notes, Avignon, France, September 2018

25. Ş. Güner Koç and E. Aptoula, Attribute Profiles Without Thresholds, IEEE Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, July 2018

24. M-T. Pham, E. Aptoula, S. Lefèvre, Classification of remote sensing images using attribute profiles and feature profiles from different trees: a comparative study, IEEE Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, July 2018

23. M-T. Pham, S. Lefèvre, E. Aptoula, L. Bruzzone, Recent Developments from Attribute Profiles for Remote Sensing Image Classification, International Conference on Pattern Recognition and Artificial Intelligence, Montreal, Canada, May 2018

22. S. Atito, B. Yanikoglu, E. Aptoula, Plant Identification with Large Number of Species: SabanciU-GebzeTU System in PlantCLEF 2017, In CLEF working notes, Dublin, Ireland, September 2017

21. M.-T. Pham, S. Lefèvre, E. Aptoula, B. B. Damodaran, Classification of VHR remote sensing images using local feature-based attribute profiles, IEEE Geoscience and Remote Sensing Symposium (IGARSS), Texas, USA, July 2017

20. P. Bosilj, B. B. Damodaran, E. Aptoula, M. Dalla Mura, S. Lefèvre, Attribute Profiles from Partitioning Trees, International Symposium on Mathematical Morphology (ISMM), Paris, France, May 2017

19. E. Aptoula, M.-T. Pham, S. Lefèvre, Quasi-flat zones for angular data simplification, International Symposium on Mathematical Morphology (ISMM), Paris, France, May 2017

18. M. M. Ghazi, B. Yanikoglu, Erchan Aptoula, Open-set Plant Identification Using an Ensemble of Deep Convolutional Neural Networks, In CLEF working notes, Evora, Portugal, September 2016

17. S. Lefèvre and E. Aptoula, Morphological tools for spatial and multiscale analysis of passive microwave remote sensing data, Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad), Espoo, Finland, 2016

16. P. Bosilj, E. Aptoula, S. Lefèvre and E. Kijak, Satellite Image Retrieval with Pattern Spectra Descriptors, In Image Information Mining Conference, Bucharest, Romania, October 2015

15. M. M. Ghazi, B. Yanikoglu, Erchan Aptoula, O. Muslu and M. C. Ozdemir, Sabanci-Okan System in LifeCLEF 2015 Plant Identification Competition, In CLEF working notes, Toulouse, France, September 2015

14. E. Aptoula, N. Courty and S. Lefèvre, An end-member based ordering relation for the morphological description of hyperspectral images, IEEE International Conference on Image Processing (ICIP), Paris, France, October, 2014

13. B. Yanikoglu, S. T. Yildiran, C. Tirkaz and E. Aptoula, Sabanci-Okan System in 2014 LifeCLEF Plant Identification Competition, In CLEF working notes, Sheffield, UK, September 2014

12. E. Aptoula, Bag of morphological words for content-based geographical retrieval, 12th International Workshop on Content-Based Multimedia Indexing, Klagenfurt, Austria, June, 2014

11. E. Aptoula, B. Yanikoglu, Morphological features for leaf based plant recognition, IEEE International Conference on Image Processing (ICIP), Melbourne, Australia, September, 2013

10. B. Yanikoglu, E. Aptoula and S. T. Yildiran, Sabanci-Okan System at ImageClef 2013, In CLEF working notes, Valencia, Spain, September 2013

9. E. Aptoula, J. Weber and S. Lefèvre, Vectorial quasi-flat zones for color image simplification, International Symposium on Mathematical Morphology (ISMM), Vol. 7883 (LNCS), pp 231 – 242, Uppsala, Sweden, May 2013

8. B. Yanikoglu, E. Aptoula and C. Tirkaz, Sabanci-Okan System at ImageClef 2012: Combining Features and Classifiers for Plant Identification, In CLEF working notes, Rome, Italy, September 2012

7. B. Yanikoglu, E. Aptoula and C. Tirkaz, Sabanci-Okan System at ImageClef 2011: Plant identification task, In CLEF working notes, Amsterdam, The Netherlands, September 2011

6. N. Courty, E. Aptoula and S. Lefèvre, A Classwise Supervised Ordering Approach for Morphology Based Hyperspectral Image Classification, International Conference on Pattern Recognition (ICPR), 1997 – 2000, Tsukuba, Japan, November 2012

5. E. Aptoula and S. Lefèvre, A Basin Morphology Approach to Colour Image Segmentation by Region Merging, Asian Conference on Computer Vision (ACCV), Lecture Notes in Computer Sciences, Vol. 4843, 935 – 944, Tokyo, Japan, November 2007

4. E. Aptoula and S. Lefèvre, On Morphological Color Texture Characterization, International Symposium on Mathematical Morphology (ISMM), 153 – 164, Rio de Janeiro, Brazil, October 2007

3. E. Aptoula and S. Lefèvre, Pseudo Multivariate Morphological Operators based on alpha trimmed lexicographical extrema, International Symposium on Image and Signal Processing and Analysis, 367 – 372, Istanbul, Turkey, September 2007

2. E. Aptoula and S. Lefèvre, Spatial Morphological Covariance Applied to Texture Classification, International Workshop on Multimedia Content Representation, Classification and Security, Lecture notes in Computer Sciences, Vol. 4105, 522 – 529, Istanbul, Turkey, September 2006

1. E. Aptoula, S. Lefèvre and C. Collet, Mathematical Morphology Applied to the Segmentation and Classification of Galaxies in Multi-spectral Images, European Signal Processing Conference (EUSIPCO), Florence, Italy, September 2006

International Book Chapters

4. G. Taskin, E. Aptoula, A. Erturk, Explainable AI for Earth Observation: Current Methods, Open Challenges, and Opportunities, Advances in Machine Learning and Image Analysis for GeoAI, edited by S. Prasad, J. Chanussot and J. Li, Elsevier (arXiv:2311.04491 [cs.AI]), 2024 [PDF]

3. S. Lefèvre, E. Aptoula, B. Perret and J. Weber, Morphological Template Matching in Color Images, Advances in Low-Level Color Image Processing, edited by E. Celebi and B. Smolka, Springer, 2013

2. E. Aptoula and S. Lefèvre, Morphological texture description of grayscale and color images, Advances in Imaging and Electron Physics, edited by Peter Hawkes, Vol. 169, 1 – 74, Burlington, Academic Press, 2011

1. E. Aptoula and S. Lefèvre, Multivariate mathematical morphology applied to color image analysis, edited by J. Chanussot, K. Chehdi and C. Collet, 303 – 337, Hermès-Wiley, 2009

National Conference Papers

47. A. Khoshbakht, E. Aptoula, Spectral-Spatial Open-Set Recognition with Adaptive Contrastive Semantic Reconstruction for Hyperspectral Image Classification, 34. IEEE Signal Processing and Communication Applications Conference (IEEE SIU), Istanbul, Türkiye, July, 2026 

46. M. U. Şen, A. T. Aktan, E. Aptoula, B. Yanıkoğlu, Exponential Moving Average of Vision Transformers for Skin Lesion Classification, 34. IEEE Signal Processing and Communication Applications Conference (IEEE SIU), Istanbul, Türkiye, July, 2026

45. A. T. Aktan, A. Almouradi, E. Aptoula, B. Yanikoglu, Comparison of Leading Deep Learning Architectures on Skin Lesion Classification Using the ISIC 2019 Dataset, TIPTEKNO, Famagusta, Turkish Republic of North Cyprus, October, 2025

44. E. Ghazaei, E. Aptoula, Additive Content and Style Disentanglement for Domain Generalized Semantic Segmentation of Optical Remote Sensing Images, 33. IEEE Signal Processing and Communication Applications Conference (IEEE SIU), Istanbul, Türkiye, July, 2025

43. T. Parlayici, P. Tur, A. Ikizogullari, C. E. Yetisen, H. A. Dida, E. Aptoula, Y. Saygin, RGB-D Camera-Enabled Digital Twin Dataset for Education, 33. IEEE Signal Processing and Communication Applications Conference (IEEE SIU), Istanbul, Türkiye, July, 2025

42. S. Kutal, E. Aptoula, B. Yanikoglu, Text Line Segmentation of Ottoman Manuscripts, 33. IEEE Signal Processing and Communication Applications Conference (IEEE SIU), Istanbul, Türkiye, July, 2025

41. Z. Batool, H. Ozkan, E. Aptoula, Distance Transform Guided Mixup for Alzheimer’s Detection, 33. IEEE Signal Processing and Communication Applications Conference (IEEE SIU), Istanbul, Türkiye, July, 2025

40. S. N. Büyükbaş, Multilabel contrastive learning based remote sensing scene classification via cosine similarity, 33. IEEE Signal Processing and Communication Applications Conference (IEEE SIU), Istanbul, Türkiye, July, 2025

39. A. Khoshbakht, E. Aptoula, Semantically Guided Gradient Matching for Open-Set Domain Generalization, 33. IEEE Signal Processing and Communication Applications Conference (IEEE SIU), Istanbul, Türkiye, July, 2025

38. S. Gülüm, S. Kutal, E. Aptoula, B. Yanikoglu, SSDV: An Offline Signature Detection and Verification Dataset, 33. IEEE Signal Processing and Communication Applications Conference (IEEE SIU), Istanbul, Türkiye, July, 2025

37. A. Amir, E. Aptoula, A Comparative Study of Multi-label Supervised Contrastive Losses for the Content-based Image Retrieval of Remote Sensing Images, 33. IEEE Signal Processing and Communication Applications Conference (IEEE SIU), Istanbul, Türkiye, July, 2025

36. S. Salehnia, O. Tastan, E. Aptoula, Frequency Domain Image Augmentation for Domain Generalized Image Classification, 33. IEEE Signal Processing and Communication Applications Conference (IEEE SIU), Istanbul, Türkiye, July, 2025

35. S. Qara, K. Sharifi, M. Kuru, S. Toprak, E. Aptoula, Enhancing Ottoman Word Recognition via Self-Supervised Pretraining Using a Siamese Swin Transformer, 33. IEEE Signal Processing and Communication Applications Conference (IEEE SIU), Istanbul, Türkiye, July, 2025

34. S. N. Alhasan, E. Aptoula, M. K. Yapici, Real-Time R-Peak Detection in Wearable Electrocardiography Using a Deep Learning Model, 33. IEEE Signal Processing and Communication Applications Conference (IEEE SIU), Istanbul, Türkiye, July, 2025

33. A. Şakacı, A. Ertürk, E. Aptoula, Object Detection in Hyperspectral Images with Unsupervised Domain Adaptation, International Conference on Computer Science and Engineering (UBMK), Antalya, Türkiye, October, 2024

32. S. F. Ismael, K. Kayabol, E. Aptoula, Two-level Alignment-based Unsupervised Domain Adaptation for Semantic Segmentation of Remote Sensing Images, Akıllı Sistemlerde Yenilikler ve Uygulamalar Konferansı (ASYU), Sivas, Türkiye, October, 2023

31. E. Durakli, E. Aptoula, Domain generalized object detection for remote sensing images, 31. IEEE Signal Processing and Communication Applications Conference, Istanbul, Türkiye, July, 2023

30. I. Sahin, A. Erturk, E. Aptoula, Band-based intepretability with SHAP for hyperspectral classification, 31. IEEE Signal Processing and Communication Applications Conference, Istanbul, Türkiye, July, 2023

29. C. Haldiz, S. Ismael, H. Celebi, E. Aptoula, Crowd counting via joint SASNet and a guided batch normalization network, 31. IEEE Signal Processing and Communication Applications Conference, Istanbul, Türkiye, July, 2023

28. S. I. Aydi and E. Aptoula, Image quality assessment based on sparse neighbour significance, IEEE Innovations in Intelligent Systems and Applications Conference (ASYU), Antalya, Türkiye, September, 2022

27. I. Turkmenli, E. Aptoula, K. Kayabol, Group Equivariant U-Net for the Semantic Segmentation of SAR Images, 30. IEEE Signal Processing and Communication Applications Conference, Safranbolu, Türkiye, May, 2022

26. U. Derbashi, E. Aptoula, Scale-Spectral-Spatial Attention Network for Hyperspectral Image Classification, 30. IEEE Signal Processing and Communication Applications Conference, Safranbolu, Türkiye, May, 2022

25. E. Aptoula, U. Usta, B. Celikcapraz, Real-time night-time vehicle detection and tracking system for glare-free high beams, 10th International Automotive Technologies Congress (OTEKON), pp. 51 - 56, Bursa, Türkiye, September, 2021 

24. S. Y. Ozleyen, E. Aptoula, Crowd Counting with Distribution Matching and Dilated Networks, 29. IEEE Signal Processing and Communication Applications Conference, Online, June, 2021

23. S. Ekinci, E. Aptoula, Weed and Crop Classification with Domain Adaptation for Precision Agriculture, 29. IEEE Signal Processing and Communication Applications Conference, Online, June, 2021

22. H. K. Teloglu, E. Aptoula, LSTM AutoEncoders Applied to Semi-Supervised Crop Classification, 29. IEEE Signal Processing and Communication Applications Conference, Online, June, 2021

21. F. Kizilirmak, E. Aptoula, Crop Classification from Multi-Temporal and Multi-spectral Remote Sensing Images, 29. IEEE Signal Processing and Communication Applications Conference, Online, June, 2021

20. S. A. A. Ahmed, B. Yanikoglu, O. Goksu, E. Aptoula, Skin lesion classification with deep CNN ensembles, 28. IEEE Signal Processing and Communication Applications Conference, Gaziantep, Türkiye, October 2020

19. I. Turkmenli, E. Aptoula, K. Kayabol, Land cover classification of PolSAR images using semantic segmentation networks, 28. IEEE Signal Processing and Communication Applications Conference, Gaziantep, Türkiye, October 2020

18. E. Aptoula, F. Kahraman, G. Ozbulak, S. Aydemir, M. Imamoglu, A. M. Sofu, I. Yilmaz, Segmentation networks reinforced with attribute profiles for large scale land-cover map production, 28. IEEE Signal Processing and Communication Applications Conference, Gaziantep, Türkiye, October 2020

17. M. S. Aydemir, A. N. Keyik, F. Kahraman, E. Aptoula, Land cover map production of the Sakarya basin from multi-temporal satellite images, 28. IEEE Signal Processing and Communication Applications Conference, Gaziantep, Türkiye, October 2020

16. I. Yilmaz, M. Imamoglu, G. Ozbulak, F. Kahraman, E. Aptoula, Large scale crop classification from multi-temporal and multi-spectral satellite images, 28. IEEE Signal Processing and Communication Applications Conference, Gaziantep, Türkiye, October 2020

15. A. M. Sofu, M. Imamoglu, F. Kahraman, G. B, Cetin, E. Aptoula, Fine grained urban land-use and land-cover classification through multi-temporal and multi-spectral images, 28. IEEE Signal Processing and Communication Applications Conference, Gaziantep, Türkiye, October 2020

14. İ. Türkmenli, K. Kayabol, E. Aptoula, SAR Görüntülerinde Anlambilimsel Sınıflandırılma Algoritmalarının Karşılaştırılması, 26. IEEE Signal Processing and Communication Applications Conference, İzmir, Türkiye, May 2018

13. A. Tombak, E. Aptoula, K. Kayabol, SAR İmgelerinin Öznitelikler Kullanılarak Piksel Tabanlı Sınıflandırılması, 26. IEEE Signal Processing and Communication Applications Conference, İzmir, Türkiye, May 2018

12. E. Öztavlı and E. Aptoula, Effect of Early and Late Fusion on Heart Sound Classification, 26. IEEE Signal Processing and Communication Applications Conference, İzmir, Türkiye, May 2018

11. Ö. Göksu and E. Aptoula, Content Based Image Retrieval of Remote Sensing Images Based on Deep Features, 26. IEEE Signal Processing and Communication Applications Conference, İzmir, Türkiye, May 2018

10. Ş. Güner Koç and E. Aptoula, Hyperspectral image classification with convolutional networks trained with self-dual attribute profiles, 25. IEEE Signal Processing and Communication Applications Conference, Antalya, Türkiye, May 2017

9. Ş. Güner Koç, E. Aptoula, P. Bosilj, B. B. Damodaran, M. Dalla Mura and S. Lefevre, A comparative noise robustness study of tree representations for attribute profile construction, 25. IEEE Signal Processing and Communication Applications Conference, Antalya, Türkiye, May 2017

8. M. C. Özdemir, E. Aptoula and B. Yanikoglu, İkili bölüntü ağaçları ile meyve tespiti, 24. IEEE Signal Processing and Communication Applications Conference, Zonguldak, Türkiye, May 2016

7. A. A. Davari, B. Yanikoglu and E. Aptoula, Yapay biçimbilimsel özniteliklerin hiperspektral görüntü sınıflandırma basarımının üzerindeki etkisi, 23. IEEE Signal Processing and Communication Applications Conference, Malatya, Türkiye, May 2015

6. B. Özkan, E. Aptoula, T. Heren, H. Mandancı and C. Can, Minimization Of Tire Wear For Tractor Semi-trailers With Command Steering, Otomotiv Teknolojileri Kongresi, Bursa, Türkiye, May 2014

5. S. T. Yildiran, B. Yanikoglu and E. Aptoula, Yerel Değişkenlerle Bitki tanıma, 22. IEEE Signal Processing and Communication Applications Conference, Trabzon, Türkiye, April 2014

4. E. Aptoula, N. Courty and S. Lefevre, Matematiksel Biçimbilim ile Dokubilimsel Meme Kanseri Görüntülerinde Mitoz Algılama, 21. IEEE Signal Processing and Communication Applications Conference, Girne, Turkish Republic of Northern Cyprus, April 2013

3. E. Aptoula and S. Korkmaz, Uzaktan algılanmış görüntülerin biçimbilimsel doku betimleyicileri ile erişimi, 21. IEEE Signal Processing and Communication Applications Conference, Girne, Turkish Republic of Northern Cyrpus, April 2013

2. S. Korkmaz and E. Aptoula, Genişletilmiş Biçimbilimsel Ortak Değişinti, 20. IEEE Signal Processing and Communication Applications Conference, Fethiye, Türkiye, April 2012

1. E. Aptoula and S. Lefèvre, Pseudo-Opérateurs morphologiques multivariés basés sur les extrema lexicographiques alpha tronqués, Congrès Francophone ORASIS de Vision par Ordinateur, Obernai, France, June 2007

Thesis and Dissertations

2. E. Aptoula, Morphological color image analysis applied to content-based image description, annotation and retrieval, PhD Thesis, Louis Pasteur University - Strasbourg I, Strasbourg, France, July 2008

1. E. Aptoula, Mathematical morphology and the segmentation of astronomical images, MSc. Thesis, Louis Pasteur University - Strasbourg I, Strasbourg, France, June 2005