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Prof. Tolga Çukur of the Department of Electrical and Electronics Engineering and director of UMRAM has been named a fellow of International Society for Magnetic Resonance in Medicine (ISMRM). ISMRM is an international, nonprofit, scientific association whose purpose is to promote communication, research, development and applications in the field of magnetic resonance in medicine and […]

We are excited to share our latest work on joint time-vertex signal processing published in IEEE Signal Processing Letters! In this paper, we explore the complexities of time-varying graph signals and how they can be more efficiently processed using the joint time-vertex framework. Traditionally, separating signal from noise in these structures has posed significant challenges. […]

Happy to share our latest paper titled “Graph Receptive Transformer Encoder (GRTE) for Text Classification” published in IEEE Transactions on Signal and Information Processing over Networks! Our novel approach combines graph neural networks (GNNs) with large-scale pre-trained models to address limitations in attention mechanisms of transformers for text classification. GRTE retrieves global and contextual information […]

Please check our new article at the intersection of machine learning and signal processing published at IEEE Signal Processing Letters! We extend the theory of FrFT, a parametric signal transformation, by introducing it as a trainable layer in neural network architectures. We showed that the transformation parameters can be learned along with the remaining network […]

Our collaborative work at UMRAM, Departments of Psychology and Electrical and Electronics Engineering of Bilkent University, and Department of Psychiatry of Hacettepe University on NLP-based approaches to understand schizophrenia is now published at Schizophrenia Research! In this study, we applied multiple natural language processing (NLP) methods for defining linguistic features of Turkish, a non-Indo-European language, […]