activity
20202025
most citedMultimodal Continuous Emotion Recognition using Deep Multi-Task Learning with Correlation Loss

3 citations · 4 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL2025

Am I Blue or Is My Hobby Counting Teardrops? Expression Leakage in Large Language Models as a Symptom of Irrelevancy Disruption

Berkay Köprü, Mehrzad Mashal, Yigit Gurses +6

Large language models (LLMs) have advanced natural language processing (NLP) skills such as through next-token prediction and self-attention, but their ability to integrate broad c…

cs.CL2021★ 1 cited

Extraction of Medication Names from Twitter Using Augmentation and an Ensemble of Language Models

Igor Kulev, Berkay Köprü, Raul Rodriguez-Esteban +4

The BioCreative VII Track 3 challenge focused on the identification of medication names in Twitter user timelines. For our submission to this challenge, we expanded the available t…

cs.SD2021

Affective Burst Detection from Speech using Kernel-fusion Dilated Convolutional Neural Networks

Berkay Kopru, Engin Erzin

As speech-interfaces are getting richer and widespread, speech emotion recognition promises more attractive applications. In the continuous emotion recognition (CER) problem, track…

cs.CV2021

Use of Affective Visual Information for Summarization of Human-Centric Videos

Berkay Köprü, Engin Erzin

Increasing volume of user-generated human-centric video content and their applications, such as video retrieval and browsing, require compact representations that are addressed by…

eess.SP2021

Neural Network Based Sleep Phases Classification for Resource Constraint Environments

Berkay Köprü, Murat Aslan, Alisher Kholmatov

Sleep is restoration process of the body. The efficiency of this restoration process is directly correlated to the amount of time spent at each sleep phase. Hence, automatic tracki…

cs.HC2020★ 3 cited

Multimodal Continuous Emotion Recognition using Deep Multi-Task Learning with Correlation Loss

Berkay Köprü, Engin Erzin

In this study, we focus on continuous emotion recognition using body motion and speech signals to estimate Activation, Valence, and Dominance (AVD) attributes. Semi-End-To-End netw…