65 citations · 192 across the 11 of their papers we have counts for
12 papers
Meta-Entity Driven Triplet Mining for Aligning Medical Vision-Language Models
Saban Ozturk, Melih B. Yilmaz, Muti Kara +3
Diagnostic imaging relies on interpreting both images and radiology reports, but the growing data volumes place significant pressure on medical experts, yielding increased errors a…
Fast-FNet: Accelerating Transformer Encoder Models via Efficient Fourier Layers
Nurullah Sevim, Ege Ozan Özyedek, Furkan Şahinuç +1
Transformer-based language models utilize the attention mechanism for substantial performance improvements in almost all natural language processing (NLP) tasks. Similar attention…
Unsupervised Simplification of Legal Texts
Mert Cemri, Tolga Çukur, Aykut Koç
The processing of legal texts has been developing as an emerging field in natural language processing (NLP). Legal texts contain unique jargon and complex linguistic attributes in…
Joint Time-Vertex Fractional Fourier Transform
Tuna Alikaşifoğlu, Bünyamin Kartal, Eray Özgünay +1
Graph signal processing (GSP) facilitates the analysis of high-dimensional data on non-Euclidean domains by utilizing graph signals defined on graph vertices. In addition to static…
Multi-Label Sentiment Analysis on 100 Languages with Dynamic Weighting for Label Imbalance
Selim F. Yilmaz, E. Batuhan Kaynak, Aykut Koç +2
We investigate cross-lingual sentiment analysis, which has attracted significant attention due to its applications in various areas including market research, politics and social s…
Graph Signal Processing: Vertex Multiplication
Aykut Koç, Yigit E. Bayiz
On the Euclidean domains of classical signal processing, linking of signal samples to the underlying coordinate structure is straightforward. While graph adjacency matrices totally…
Quadruplet Selection Methods for Deep Embedding Learning
Kaan Karaman, Erhan Gundogdu, Aykut Koc +1
Recognition of objects with subtle differences has been used in many practical applications, such as car model recognition and maritime vessel identification. For discrimination of…
Deep Iterative Reconstruction for Phase Retrieval
Çağatay Işıl, Figen S. Oktem, Aykut Koç
Classical phase retrieval problem is the recovery of a constrained image from the magnitude of its Fourier transform. Although there are several well-known phase retrieval algorith…
Discrete Scaling Based on Operator Theory
Aykut Koç, Burak Bartan, Haldun M. Ozaktas
Signal scaling is a fundamental operation of practical importance in which a signal is enlarged or shrunk in the coordinate direction(s). Scaling or magnification is not trivial fo…
Discrete Linear Canonical Transform Based on Hyperdifferential Operators
Aykut Koç, Burak Bartan, Haldun M. Ozaktas
Linear canonical transforms (LCTs) are of importance in many areas of science and engineering with many applications. Therefore a satisfactory discrete implementation is of conside…
Semantic Structure and Interpretability of Word Embeddings
Lutfi Kerem Senel, Ihsan Utlu, Veysel Yucesoy +2
Dense word embeddings, which encode semantic meanings of words to low dimensional vector spaces have become very popular in natural language processing (NLP) research due to their…
Statistically Segregated k-Space Sampling for Accelerating Multiple-Acquisition MRI
L Kerem Senel, Toygan Kilic, Alper Gungor +5
A central limitation of multiple-acquisition magnetic resonance imaging (MRI) is the degradation in scan efficiency as the number of distinct datasets grows. Sparse recovery techni…