Book Chapters

[BC1] A. Koç, F. S. Oktem, H. M. Ozaktas, and M. A. Kutay, “Fast Algorithms for Digital Computation of Linear Canonical Transforms“, in J. J. Healy et al. editors, Linear Canonical Transforms, pages 293-327, Springer New York, 2016.

Journal Articles

[J35] R. A. Sevimli, M. Üçüncü, and A. Koç, “Graph Signal Processing Based Object Classification for Automotive RADAR Point Clouds“, Digital Signal Processing, vol. 137, 104045, 2023.

[J34] E. Koç and A. Koç, “Fractional Fourier Transform in Time Series Prediction“, IEEE Signal Processing Letters, 2022.

[J33] A. Y. Yıldız, E. Koç, and A. Koç, “Multivariate Time Series Imputation with Transformers“, IEEE Signal Processing Letters,  2022.

[J32] A. Koç and H. M. Ozaktas, “Relationship Between the Beam Propagation Method and Linear Canonical and fractional Fourier Transforms “, Applied Optics, 61 (34), 10275-10282, 2022.

[J31] F. Sahinuc and A. Koc, “Fractional Fourier Transform Meets Transformer Encoder,” in IEEE Signal Processing Letters, 2022.

[J30] F. Sahinuc, E. H. Yilmaz, C. Toraman, and A. Koç, “The Effect of Gender Bias on Hate Speech Detection“, Signal, Image and Video Processing (SIViP), 2022.

[J29] C. Cetindag, B. Yazicioglu, and A. Koç, “Named Entity Recognition in Turkish Legal Texts“, Natural Language Engineering, pp. 1-28, 2022.

[J28] N. Sevim, F. Sahinuc, and A. Koç, “Gender Bias in Legal Corpora and Debiasing It“, Natural Language Engineering, pp. 1-34, 2022.

[J27] L. K. Senel, F. Sahinuc, V. Yucesoy, H. Schutze, T. Çukur, and A. Koç, “Learning Interpretable Word Embeddings via Bidirectional Alignment of Dimensions with Semantic Concepts“, Information Processing & Management, vol. 59, No. 3, 102925, 2022.

[J26] A. Yuksel, B. Ugurlu, and A. Koç, “Semantic Change Detection with Gaussian Word Embeddings“, IEEE/ACM Transactions on Audio, Speech and Language Processing, in press, 2021.

[J25] A. Koç and H. M. Ozaktas, “Operator Theory-Based Computation of Linear Canonical Transforms“, Signal Processing, vol. 189, 108291, 2021.

[J24] E. Mumcuoglu, C. E. Ozturk, H. M. Ozaktas and A. Koç, “Natural Language Processing in Law: Prediction of outcomes in the Higher Courts of Turkey“, Information Processing & Management, vol. 58, No. 5: 102684, 2021.

[J23] S. F. Yılmaz, E. Kaynak, A. Koç, H. Dibeklioglu, and S. S. Kozat, “Multi-Label Sentiment Analysis on 100 Languages with Dynamic Weighting for Label Imbalance“, IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 1, pp. 331-343, 2023.

[J22] B. Kartal, Y. E. Bayiz and A. Koç, “Graph Signal Processing: Vertex Multiplication“, IEEE Signal Processing Letters, vol. 28, pp. 1270-1274, 2021.

[J21] C. Ozturk, H. M. Ozaktas, S. Gezici and A. Koç, “Optimal Fractional Fourier Filtering for Graph Signals“, IEEE Transactions on Signal Processing, vol. 69, pp. 2902-2912, 2021.

[J20] F. Sahinuc and A. Koç, “Zipfian Regularities in Non-Point Word Representations“, Information Processing & Management, vol. 58, No. 3: 102493, 2021.

[J19] A. Koç, B. Bartan, and H. M. Ozaktas, “Discrete Scaling Based on Operator Theory“, Digital Signal Processing, 108: 102904, 2021.

[J18] L. K. Senel, I. Utlu, F. Sahinuc, H. M. Ozaktas, and A. Koç, “Imparting Interpretability to Word Embeddings while Preserving Semantic Structure“, Natural Language Engineering, Cambridge University Press, 27(6), 721-746, 2021.

[J17] E. Bıyık, K. Keskin, S. UH. Dar, A. Koç, and T. Çukur, “Factorized Sensitivity Estimation for Artifact Suppression in Phase-cycled bSSFP MRI“, NMR in Biomedicine, 33: 588– 601, 2020.

[J16] A. Koç, “Operator Theory-based Discrete Fractional Fourier Transform“, Signal, Image and Video Processing (SIViP), vol. 13, No. 7, pp 1461–1468, 2019

[J15] Ç. Işil, F. S. Oktem, and A. Koç, “Deep Iterative Reconstruction for Phase Retrieval“, Applied Optics. 58 (20), 5422-5431, 2019.

[J14] A. Koç, B. Bartan, and H. M. Ozaktas, “Discrete Linear Canonical Transform Based on Hyperdifferential Operators“, IEEE Transactions on Signal Processing, vol. 67, no. 9, pp. 2237-2248, 2019.

[J13] L. K. Senel, T. Kilic, A. Gungor, E. Kopanoglu, H. E. Guven, E. U. Saritas, A. Koç, and T. Cukur, “Statistically Segregated k-Space Sampling for Accelerating Multiple-Acquisition MRI“, IEEE Transactions on Medical Imaging, vol. 38, no. 7, pp. 1701-1714, 2019.

[J12] V. Yucesoy and A. Koç, “Co-occurrence Weight Selection in Generation of Word Embeddings for Low Resource Languages“, ACM Transactions on Asian and Low-Resource Language Information Processing, vol. 18, no. 3, Article 22, 2019.

[J11] B. Solmaz, E. Gundogdu, V. Yucesoy, A. Koç, and A. A. Alatan, “Fine-Grained Recognition of Maritime Vessels and Land Vehicles by Deep Feature Embedding“, IET Computer Vision, 12 (8), 1121-1132, 2018.

[J10] L. K. Senel, I. Utlu, V. Yucesoy, A. Koç, and T. Çukur, “Semantic Structure and Interpretability of Word Embeddings“, IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 26, no. 10, pp. 1769-1779, Oct. 2018.

[J9] Ç. Işil, M. Yorulmaz, B. Solmaz, A. Turhan, C. Yurdakul, S. Ünlü, E. Ozbay, and A. Koç, “Resolution Enhancement of Wide-field Interferometric Microscopy by Coupled Deep Autoencoders“, Applied Optics. 57 (10), 2545-2552, 2018.

[J8] A. Koç, “Analysis of Surface Plasmon Resonance Sensing Based on Phase-detection in the Infrared Range“, Uludağ University Journal of the Faculty of Engineering, vol. 23, no. 3, (2018): 117-132.

[J7] A. Koç, V. Yücesoy, “Co-occurrence Weight Selection for Word Embeddings to Enhance Test Performance“, Uludağ University Journal of the Faculty of Engineering, vol. 23, no. 1, (2018): 31-40.

[J6] B. Solmaz, E. Gundogdu, V. Yucesoy, and A. Koç, “Generic and Attribute-specific Deep Representations for Maritime Vessels“, Transactions on Computer Vision and Applications, vol. 9, no. 1, 2017.

[J5] A. Koç, B. Bartan, E. Gundogdu, T. Çukur, and H. M. Ozaktas, “Sparse Representation of Two and Three Dimensional Images with Fractional Fourier, Hartley, Linear Canonical, and Haar Wavelet Transforms“, Expert Systems with Applications, Vol. 77, pp. 247-255, 2017.

[J4] A. Koç, H. M. Ozaktas, and L. Hesselink, “Fast and Accurate Algorithm for the Computation of Complex Linear Canonical Transforms“, J. Opt. Soc. Am. A (JOSA A), Vol. 27, No. 9, 2010.

[J3] A. Koç, H. M. Ozaktas, and L. Hesselink, “Fast and Accurate Computation of Two-dimensional Non-separable Quadratic-phase Integrals“, J. Opt. Soc. Am. A (JOSA A), Vol. 27, No. 6, 2010.

[J2] A. Koç, H. M. Ozaktas, C. Candan, and M. A. Kutay, “Digital Computation of Linear Canonical Transforms“, IEEE Transactions on Signal Processing, vol. 56, no. 6, pp. 2383-2394, Jun. 2008.

[J1] H. M. Ozaktas, A. Koç, I. Sari, and M. A. Kutay, “Efficient Computation of Quadratic-Phase Integrals in Optics“, Optics Letters vol. 31, pp. 35-37, Jan. 2006.

Conference Papers

[C37] B. Kartal, Y. E. Bayız, and A. Koç, “Graph Signal Processing: Vertex Multiplication“, 29th IEEE International Conference on Image Processing (ICIP), Bordeaux, France, 2022. (Journal Presentation)

[C36] C. Öztürk, H. M. Ozaktas, S. Gezici, and A. Koç, “Optimal Fractional Fourier Filtering for Graph Signals“, 29th IEEE International Conference on Image Processing (ICIP), Bordeaux, France, 2022. (Journal Presentation)

[C35] C. E. Öztürk, Ö. Köksal, Ş. B. Özçelik, and A. Koç, “Prior Case Retrieval for the Court of Cassation of Turkey“, 16th IEEE International Conference on Signal Image Technology & Internet Based Systems (SITIS), Dijon, France, 2022. (Presentation)

[C34] A. C. Aras, C. E. Öztürk, and A. Koç, “Feedforward Neural Network Based Case Prediction in Turkish Higher Courts“, IEEE Signal Processing and Communications Applications Conference (SIU), 2022. (Presentation)

[C33] C. E. Öztürk, Ş. B. Özçelik, and A. Koç, “Predicting Outcomes of the Court of Cassation of Turkey with Recurrent Neural Networks“, IEEE Signal Processing and Communications Applications Conference (SIU), 2022. (Presentation)

[C32] N. Sevim and A. Koç, “Investigation of Gender Bias in Turkish Word Embeddings“, IEEE Signal Processing and Communications Applications Conference (SIU), 2021. (Presentation)

[C31] F. Şahinuç, Ç. Toraman and A. Koç, “Topic Detection based on Deep Learning Language Model in Turkish Microblogs“, IEEE Signal Processing and Communications Applications Conference (SIU), 2021. (Presentation)

[C30] F. Sahinuc, V. Yucesoy, and A. Koç, “Intent Classification and Slot Filling for Turkish Dialogue Systems“, IEEE Signal Processing and Communications Applications Conference (SIU), 2020. (Presentation)

[C29] K. Karaman, E. Gundogdu, A. Koç, A. A. Alatan, “Quadruplet Selection Methods for Deep Embedding Learning“, IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 2019. (Poster)

[C28] Ç. Işil, F. S. Oktem, and A. Koç, “Deep learning-based hybrid approach for phase retrieval“, OSA Imaging and Applied Optics Congress, Munich, Germany, 2019. (Presentation)

[C27] L. K. Senel, V. Yucesoy, A. Koç, and T. Çukur, “Topic Change Detection on Dialog Based Text“, IEEE Signal Processing and Communications Applications Conference (SIU), 2019. (Presentation)

[C26] L. K. Şenel, I. Utlu, V. Yücesoy, A. Koç, and T. Cukur, “Generating Semantic Similarity Atlas for Natural Languages“, IEEE Workshop on Spoken Language Technologies, Athens, Greece, 2018. (Poster)

[C25] K. Karaman, B. Solmaz, A. Koç, A. A. Alatan, “Face Recognition Based on Embedding Learning“, SPIE Defense and Security International Conference, Counterterrorism, Crime Fighting, Forensics, and Surveillance, Berlin, Germany, 2018. (Presentation)

[C24] Ç. Isil, B. Solmaz, and A. Koç, “Variational Autoencoders with Triplet Loss for Representation Learning“, IEEE Signal Processing and Communications Applications Conference (SIU), 2018. (Presentation)

[C23] Ü. Şahin, V. Yucesoy, A. Koç, and C. Tekin, “Risk-averse Ambulance Redeployment via Multi-armed Bandits“, IEEE Signal Processing and Communications Applications Conference (SIU), 2018. (Presentation)

[C22] L. K. Senel, V. Yucesoy, A. Koç, and T. Çukur, “Interpretability Analysis for Turkish Word Embeddings“, IEEE Signal Processing and Communications Applications Conference (SIU), 2018. (Presentation)

[C21] K. Karaman, E. Gundogdu, A. Koç, and A. A. Alatan, “A Method for Quadruplet Sample Selection in Deep Feature Learning“, IEEE Signal Processing and Communications Applications Conference (SIU), 2018. (Presentation)

[C20] A. Koç, H. M. Ozaktas, B. Bartan, E. Gundogdu, and T. Cukur, “Digital Computation of Fractional Fourier and Linear Canonical Transforms and Sparse Image Representation“, Asia-Pacific Signal and Information Processing Association Conference (APSIPA) Kuala Lumpur, Malaysia, 2017. (Invited)

[C19] L. K. Şenel, V. Yücesoy, A. Koç, and T. Cukur, “Measuring Cross-Lingual Semantic Similarity Across European Languages“, 40th International Conference on Telecommunications and Signal Processing (TSP), Barcelona, Spain, 2017. (Presentation)

[C18] E. Gundogdu, E. S. Parildi, B. Solmaz, V. Yucesoy and A. Koç, “Deep Learning Based Fine-grained Car Make/Model Classification for Visual Surveillance“, SPIE Defense and Security International Conference, Counterterrorism, Crime Fighting, Forensics, and Surveillance, Warsaw, Poland, 2017. (Presentation)

[C17] E. Gundogdu, E. S. Parildi, B. Solmaz, V. Yucesoy and A. Koç, “Deep Learning Based Fine-grained Car Make/Model Classification for Visual Surveillance“, SPIE Defense and Security International Conference, Counterterrorism, Crime Fighting, Forensics, and Surveillance, Warsaw, Poland, 2017. (Presentation)

[C16] E. Gundogdu, A. Koç, and A. A. Alatan, “Automatic Target Recognition and Detection in Infrared Imagery Under Cluttered Background“, SPIE Defense and Security International Conference, Target and Background Signatures, Warsaw, Poland, 2017. (Presentation)

[C15] B. Solmaz, E. Gundogdu, K. Karaman, A. Koç, “Fine-grained Visual Marine Vessel Classification for Coastal Surveillance and Defense Applications“, SPIE Defense and Security International Conference, Electro-optical Remote Sensing, Warsaw, Poland, 2017. (Presentation)

[C14] E. Gundogdu, B. Solmaz, A. Koç, and A. A. Alatan, “Deep Distance Metric Learning for Maritime Vessel Identification“, IEEE Signal Processing and Communications Applications Conference (SIU), 2017. (Presentation)

[C13] L. K. Senel, V. Yucesoy, A. Koç, and T. Cukur, “Semantic Similarity between Turkish and European Languages Using Word Embeddings“, IEEE Signal Processing and Communications Applications Conference (SIU), 2017. (Presentation)

[C12] V. Yucesoy and A. Koç, “Effect of Cooccurence Weighting to English Word Embeddings“, IEEE Signal Processing and Communications Applications Conference (SIU), 2017. (Presentation)

[C11] Ü. Şahin, V. Yucesoy, A. Koç, and C. Tekin, “Learning Traffic Congestion by Contextual Bandit Problems for Optimum Localization“, IEEE Signal Processing and Communications Applications Conference (SIU), 2017. (Presentation)

[C10] B. Solmaz, V. Yucesoy, and A. Koç, “Automated Visual Classification of Indoor Scenes and Architectural Styles“, IEEE Signal Processing and Communications Applications Conference (SIU), 2017. (Presentation)

[C9] E. Gundogdu, B. Solmaz, V. Yücesoy, and A. Koç, “MARVEL: A Large Scale Image Dataset for Maritime Vessels“, Asian Conference on Computer Vision (ACCV), Taipei, Taiwan, 2016. (Poster)

[C8] E. Gundogdu, A. Koç, B. Solmaz, R. I. Hammoud, and A. A. Alatan, “Evaluation of Feature Channels For Correlation-Filter-Based Visual Object Tracking In Infrared Spectrum“, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Las Vegas, Nevada, USA, 2016. (Presentation)

[C7] E. Gundogdu, A. Koç, and A. A. Alatan, “Object Classification in Infrared Images Using Deep Representations“, IEEE International Conference on Image Processing (ICIP), Phoenix, Arizona, USA, 2016. (Presentation)

[C6] E. Gündoğdu, A. Koç, and A. A. Alatan, “Infrared Object Classification Using Decision Tree Based Deep Neural Networks“, IEEE Signal Processing and Communications Applications Conference (SIU), 2016. (Presentation)

[C5] V. Yücesoy and A. Koç, “Effect of the Training Set on the Word Embeddings and Similarity Test Set for Turkish“, IEEE Signal Processing and Communications Applications Conference (SIU), 2016. (Presentation)

[C4] H. M. Ozaktas and A. Koç, “Fast and Accurate Linear Canonical Transform Algorithms“, IEEE Signal Processing and Communications Applications Conference (SIU), 2015. (Presentation)

[C3] A. Koç, H. M. Ozaktas, and L. Hesselink, “Fast and Accurate Algorithms for Quadratic Phase Integrals in Optics and Signal Processing“, SPIE Defense, Security, and Sensing International Conference, (Innovative Defense and Security Applications for Displays, Three-Dimensional Imaging, Visualization, and Display Program Track), Orlando, Florida, USA, 2011. (Invited)

[C2] A. Koç, Y. Takashima, and L. Hesselink, “Systematic Analysis of the Validity Regions of Scalar Diffraction Integral and Angular Spectrum Method“, Biomedical Optics and 3-D Imaging: OSA Optics and Photonics Congress, Miami, Florida, USA, 2010. (Poster)

[C1] A. Koç, X. Yin, and L. Hesselink, “Phase Detection Based Surface Plasmon Resonance Biosensor in Infrared with Increased Sensitivity and Dynamic Range“, CLEO/QELS 2007 International Conference, Baltimore, Maryland, USA. 2007. (Poster)