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ORCIDAykut Koç
Person information
- affiliation: Bilkent University, National Magnetic Resonance Research Center , Ankara, Turkey
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2020 – today
- 2024
[j34]Tuna Ozates
, Uras Kargi, Aykut Koç:
Sememe-Based Semantic Communications. IEEE Commun. Lett. 28(10): 2308-2312 (2024)- [j33]Emirhan Koç, Tuna Alikasifoglu, Arda C. Aras, Aykut Koç:
Trainable Fractional Fourier Transform. IEEE Signal Process. Lett. 31: 751-755 (2024) - [j32]Tuna Alikasifoglu, Bünyamin Kartal, Aykut Koç:
Wiener Filtering in Joint Time-Vertex Fractional Fourier Domains. IEEE Signal Process. Lett. 31: 1319-1323 (2024) - [j31]Arda C. Aras, Tuna Alikasifoglu, Aykut Koç:
Text-RGNNs: Relational Modeling for Heterogeneous Text Graphs. IEEE Signal Process. Lett. 31: 1955-1959 (2024) - [j30]Omer Musa Battal, Aykut Koç:
Automatic Construction of Sememe Knowledge Bases From Machine Readable Dictionaries. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1023-1035 (2024) - [j29]Mustafa Bozdag, Nurullah Sevim, Aykut Koç:
Measuring and Mitigating Gender Bias in Legal Contextualized Language Models. ACM Trans. Knowl. Discov. Data 18(4): 79:1-79:26 (2024) - [j28]Arda C. Aras, Tuna Alikasifoglu, Aykut Koç:
Graph Receptive Transformer Encoder for Text Classification. IEEE Trans. Signal Inf. Process. over Networks 10: 347-359 (2024) - [j27]Tuna Alikasifoglu, Bünyamin Kartal, Aykut Koç:
Graph Fractional Fourier Transform: A Unified Theory. IEEE Trans. Signal Process. 72: 3834-3850 (2024) - [c30]Tuna Alikasifoglu, Arda C. Aras, Aykut Koç:
VISPool: Enhancing Transformer Encoders with Vector Visibility Graph Neural Networks. ACL (Findings) 2024: 2547-2556 - [c29]Emirhan Koç, Yunus Emre Ekiz, Haldun M. Özaktas, Aykut Koç:
Maximally Selective Fractional Fourier Pooling. SIU 2024: 1-4 - 2023
- [j26]Rasim Akin Sevimli, Murat Üçüncü, Aykut Koç:
Graph signal processing based object classification for automotive RADAR point clouds. Digit. Signal Process. 137: 104045 (2023) - [j25]Nurullah Sevim, Furkan Sahinuç, Aykut Koç:
Gender bias in legal corpora and debiasing it. Nat. Lang. Eng. 29(2): 449-482 (2023) - [j24]Can Çetindag, Berkay Yazicioglu, Aykut Koç:
Named-entity recognition in Turkish legal texts. Nat. Lang. Eng. 29(3): 615-642 (2023) - [j23]Furkan Sahinuç, Eyup Halit Yilmaz, Cagri Toraman, Aykut Koç:
The effect of gender bias on hate speech detection. Signal Image Video Process. 17(4): 1591-1597 (2023) - [j22]Selim Firat Yilmaz, E. Batuhan Kaynak, Aykut Koç, Hamdi Dibeklioglu, Suleyman Serdar Kozat:
Multi-Label Sentiment Analysis on 100 Languages With Dynamic Weighting for Label Imbalance. IEEE Trans. Neural Networks Learn. Syst. 34(1): 331-343 (2023) - [c28]Ceyhun E. Öztürk, Eyup Halit Yilmaz, Ömer Köksal, Aykut Koç:
Software Module Classification for Commercial Bug Reports. ICASSP Workshops 2023: 1-5 - [c27]Ceyhun E. Öztürk, S. Baris Özçelik, Aykut Koç:
A Transformer-Based Prior Legal Case Retrieval Method. SIU 2023: 1-4 - 2022
- [j21]Lütfi Kerem Senel, Furkan Sahinuç, Veysel Yücesoy, Hinrich Schütze, Tolga Çukur, Aykut Koç:
Learning interpretable word embeddings via bidirectional alignment of dimensions with semantic concepts. Inf. Process. Manag. 59(3): 102925 (2022) - [j20]Furkan Sahinuç, Aykut Koç:
Fractional Fourier Transform Meets Transformer Encoder. IEEE Signal Process. Lett. 29: 2258-2262 (2022) - [j19]Ayberk Yarkin Yildiz, Emirhan Koç, Aykut Koç:
Multivariate Time Series Imputation With Transformers. IEEE Signal Process. Lett. 29: 2517-2521 (2022) - [j18]Emirhan Koç, Aykut Koç:
Fractional Fourier Transform in Time Series Prediction. IEEE Signal Process. Lett. 29: 2542-2546 (2022) - [c26]Ceyhun E. Öztürk, Ömer Köksal, S. Baris Özçelik, Aykut Koç:
Prior Case Retrieval for the Court of Cassation of Turkey. SITIS 2022: 539-544 - [c25]Arda C. Aras, Ceyhun E. Öztürk, Aykut Koç:
Feedforward Neural Network Based Case Prediction in Turkish Higher Courts. SIU 2022: 1-4 - [c24]Ceyhun E. Öztürk, S. Baris Özçelik, Aykut Koç:
Predicting Outcomes of the Court of Cassation of Turkey with Recurrent Neural Networks. SIU 2022: 1-4 - [i8]Bünyamin Kartal, Eray Özgünay, Aykut Koç:
Joint Time-Vertex Fractional Fourier Transform. CoRR abs/2203.07655 (2022) - [i7]Mert Cemri, Tolga Çukur, Aykut Koç:
Unsupervised Simplification of Legal Texts. CoRR abs/2209.00557 (2022) - [i6]Nurullah Sevim, Ege Ozan Özyedek, Furkan Sahinuç, Aykut Koç:
Fast-FNet: Accelerating Transformer Encoder Models via Efficient Fourier Layers. CoRR abs/2209.12816 (2022) - 2021
- [j17]Aykut Koç, Burak Bartan, Haldun M. Özaktas:
Discrete scaling based on operator theory. Digit. Signal Process. 108: 102904 (2021) - [j16]Furkan Sahinuç, Aykut Koç:
Zipfian regularities in "non-point" word representations. Inf. Process. Manag. 58(3): 102493 (2021) - [j15]Emre Mumcuoglu, Ceyhun E. Öztürk, Haldun M. Özaktas, Aykut Koç:
Natural language processing in law: Prediction of outcomes in the higher courts of Turkey. Inf. Process. Manag. 58(5): 102684 (2021) - [j14]Lütfi Kerem Senel, Ihsan Utlu, Furkan Sahinuç, Haldun M. Özaktas, Aykut Koç:
Imparting interpretability to word embeddings while preserving semantic structure. Nat. Lang. Eng. 27(6): 721-746 (2021) - [j13]Aykut Koç, Haldun M. Özaktas:
Operator theory-based computation of linear canonical transforms. Signal Process. 189: 108291 (2021) - [j12]Bünyamin Kartal, Yigit E. Bayiz, Aykut Koç:
Graph Signal Processing: Vertex Multiplication. IEEE Signal Process. Lett. 28: 1270-1274 (2021) - [j11]Arda Yüksel, Berke Ugurlu, Aykut Koç:
Semantic Change Detection With Gaussian Word Embeddings. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3349-3361 (2021) - [j10]Cuneyd Ozturk, Haldun M. Özaktas, Sinan Gezici, Aykut Koç:
Optimal Fractional Fourier Filtering for Graph Signals. IEEE Trans. Signal Process. 69: 2902-2912 (2021) - [c23]Furkan Sahinuç, Cagri Toraman, Aykut Koç:
Topic Detection based on Deep Learning Language Model in Turkish Microblogs. SIU 2021: 1-4 - [c22]Nurullah Sevim, Aykut Koç:
Investigation of Gender Bias in Turkish Word Embeddings. SIU 2021: 1-4 - 2020
- [c21]Furkan Sahinuç, Veysel Yücesoy, Aykut Koç:
Intent Classification and Slot Filling for Turkish Dialogue Systems. SIU 2020: 1-4 - [i5]Selim Firat Yilmaz, E. Batuhan Kaynak, Aykut Koç, Hamdi Dibeklioglu, Suleyman Serdar Kozat:
Multi-Label Sentiment Analysis on 100 Languages with Dynamic Weighting for Label Imbalance. CoRR abs/2008.11573 (2020)
2010 – 2019
- 2019
- [j9]Aykut Koç:
Operator theory-based discrete fractional Fourier transform. Signal Image Video Process. 13(7): 1461-1468 (2019) - [j8]Veysel Yücesoy, Aykut Koç:
Co-occurrence Weight Selection in Generation of Word Embeddings for Low Resource Languages. ACM Trans. Asian Low Resour. Lang. Inf. Process. 18(3): 22:1-22:18 (2019) - [j7]Lutfi Kerem Senel, Toygan Kilic, Alper Gungor, Emre Kopanoglu, H. Emre Guven, Emine Ulku Saritas, Aykut Koç, Tolga Çukur:
Statistically Segregated k-Space Sampling for Accelerating Multiple-Acquisition MRI. IEEE Trans. Medical Imaging 38(7): 1701-1714 (2019) - [j6]Aykut Koç, Burak Bartan, Haldun M. Özaktas:
Discrete Linear Canonical Transform Based on Hyperdifferential Operators. IEEE Trans. Signal Process. 67(9): 2237-2248 (2019) - [c20]Kaan Karaman, Erhan Gundogdu, Aykut Koç, A. Aydin Alatan:
Quadruplet Selection Methods for Deep Embedding Learning. ICIP 2019: 3452-3456 - [c19]Lütfi Kerem Senel, Veysel Yücesoy, Aykut Koç, Tolga Çukur:
Topic Change Detection on Dialog Based Text. SIU 2019: 1-4 - [i4]Çagatay Isil, Figen S. Oktem, Aykut Koç:
Deep Iterative Reconstruction for Phase Retrieval. CoRR abs/1904.11301 (2019) - [i3]Kaan Karaman, Erhan Gundogdu, Aykut Koç, A. Aydin Alatan:
Quadruplet Selection Methods for Deep Embedding Learning. CoRR abs/1907.09245 (2019) - 2018
- [j5]Berkan Solmaz, Erhan Gundogdu, Veysel Yücesoy, Aykut Koç, A. Aydin Alatan:
Fine-grained recognition of maritime vessels and land vehicles by deep feature embedding. IET Comput. Vis. 12(8): 1121-1132 (2018) - [j4]Lutfi Kerem Senel, Ihsan Utlu, Veysel Yücesoy, Aykut Koç, Tolga Çukur:
Semantic Structure and Interpretability of Word Embeddings. IEEE ACM Trans. Audio Speech Lang. Process. 26(10): 1769-1779 (2018) - [c18]Çagatay Isil, Berkan Solmaz, Aykut Koç:
Variational autoencoders with triplet loss for representation learning. SIU 2018: 1-4 - [c17]Kaan Karaman, Erhan Gundogdu, Aykut Koç, A. Aydin Alatan:
A method for quadruplet sample selection in deep feature learning. SIU 2018: 1-4 - [c16]Umitcan Sahin, Veysel Yücesoy, Aykut Koç, Cem Tekin:
Risk-averse ambulance redeployment via multi-armed bandits. SIU 2018: 1-4 - [c15]Lutfi Kerem Senel, Veysel Yücesoy, Aykut Koç, Tolga Çukur:
Interpretability analysis for Turkish word embeddings. SIU 2018: 1-4 - [c14]Lutfi Kerem Senel, Ihsan Utlu, Veysel Yücesoy, Aykut Koç, Tolga Çukur:
Generating Semantic Similarity Atlas for Natural Languages. SLT 2018: 795-799 - [i2]Aykut Koç, Ihsan Utlu, Lutfi Kerem Senel, Haldun M. Özaktas:
Imparting Interpretability to Word Embeddings. CoRR abs/1807.07279 (2018) - 2017
- [j3]Aykut Koç, Burak Bartan, Erhan Gundogdu, Tolga Çukur, Haldun M. Özaktas:
Sparse representation of two- and three-dimensional images with fractional Fourier, Hartley, linear canonical, and Haar wavelet transforms. Expert Syst. Appl. 77: 247-255 (2017) - [j2]Berkan Solmaz, Erhan Gundogdu, Veysel Yücesoy, Aykut Koç:
Generic and attribute-specific deep representations for maritime vessels. IPSJ Trans. Comput. Vis. Appl. 9: 22 (2017) - [c13]Aykut Koç, Haldun M. Özaktas, Burak Bartan, Erhan Gundogdu, Tolga Çukur:
Digital computation of fractional Fourier and linear canonical transforms and sparse image representation. APSIPA 2017: 111-117 - [c12]Erhan Gundogdu, Berkan Solmaz, Aykut Koç, Veysel Yücesoy, A. Aydin Alatan:
Deep distance metric learning for maritime vessel identification. SIU 2017: 1-4 - [c11]Umitcan Sahin, Veysel Yücesoy, Aykut Koç, Cem Tekin:
Learning traffic congestion by contextual bandit problems for optimum localization. SIU 2017: 1-4 - [c10]Lutfi Kerem Senel, Veysel Yücesoy, Aykut Koç, Tolga Çukur:
Semantic similarity between Turkish and European languages using word embeddings. SIU 2017: 1-4 - [c9]Berkan Solmaz, Veysel Yücesoy, Aykut Koç:
Automated visual classification of indoor scenes and architectural styles. SIU 2017: 1-4 - [c8]Veysel Yücesoy, Aykut Koç:
Effect of cooccurance weighting to English word embeddings. SIU 2017: 1-4 - [c7]Lutfi Kerem Senel, Veysel Yücesoy, Aykut Koç, Tolga Çukur:
Measuring cross-lingual semantic similarity across European languages. TSP 2017: 359-363 - [i1]Lutfi Kerem Senel, Ihsan Utlu, Veysel Yücesoy, Aykut Koç, Tolga Çukur:
Semantic Structure and Interpretability of Word Embeddings. CoRR abs/1711.00331 (2017) - 2016
- [c6]Erhan Gundogdu, Berkan Solmaz, Veysel Yücesoy, Aykut Koç:
MARVEL: A Large-Scale Image Dataset for Maritime Vessels. ACCV (5) 2016: 165-180 - [c5]Erhan Gundogdu, Aykut Koç, Berkan Solmaz, Riad I. Hammoud, A. Aydin Alatan:
Evaluation of Feature Channels for Correlation-Filter-Based Visual Object Tracking in Infrared Spectrum. CVPR Workshops 2016: 290-298 - [c4]Erhan Gundogdu, Aykut Koç, A. Aydin Alatan:
Object classification in infrared images using deep representations. ICIP 2016: 1066-1070 - [c3]Veysel Yücesoy, Aykut Koç:
Effect of the training set on the word embeddings and similarity test set for Turkish. SIU 2016: 1005-1008 - [c2]Erhan Gundogdu, Aykut Koç, A. Aydin Alatan:
Infrared object classification using decision tree based deep neural networks. SIU 2016: 1913-1916 - 2015
- [c1]Haldun M. Özaktas, Aykut Koç:
Fast and accurate linear canonical transform algorithms. SIU 2015: 1409-1412
2000 – 2009
- 2008
- [j1]Aykut Koç, Haldun M. Özaktas, Cagatay Candan, M. Alper Kutay:
Digital Computation of Linear Canonical Transforms. IEEE Trans. Signal Process. 56(6): 2383-2394 (2008)
Coauthor Index
aka: Lütfi Kerem Senel
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