ORCID "0000-0001-7947-5508" Araştırma Çıktıları | TR-Dizin | WoS | Scopus | PubMed için listeleme
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Automatic detection of meniscal area in the knee MR images
Saygılı, Ahmet; Kaya, Heysem; Albayrak, Songül (IEEE, 2016)Nowadays computer-aided medical systems has become widespread. These systems assist the scientists in the medical field with diagnosis and treatment. In the same vein, in this study detection of medial meniscus from MR ... -
AVEC 2018 Workshop and Challenge: Bipolar Disorder and Cross-Cultural Affect Recognition
Ringeval, Fabien; Schuller, Bjoern; Valstar, Michel; Cowie, Roddy; Kaya, Heysem; Schmitt, Maximilian; Pantic, Maja (Assoc Computing Machinery, 2018)The Audio/Visual Emotion Challenge and Workshop (AVEC 2018) Bipolar disorder, and cross-cultural affect recognition is the eighth competition event aimed at the comparison of multimedia processing and machine learning ... -
Combining Deep Facial and Ambient Features for First Impression Estimation
Gürpınar, Furkan; Kaya, Heysem; Salah, Albert Ali (Springer International Publishing Ag, 2016)First impressions influence the behavior of people towards a newly encountered person or a human-like agent. Apart from the physical characteristics of the encountered face, the emotional expressions displayed on it, as ... -
Efficient and effective strategies for cross-corpus acoustic emotion recognition
Kaya, Heysem; Karpov, Alexey A. (Elsevier, 2018)An important research direction in speech technology is robust cross-corpus and cross-language emotion recognition. In this paper, we propose computationally efficient and performance effective feature normalization ... -
Emotion, age, and gender classification in children's speech by humans and machines
Kaya, Heysem; Salah, Albert Ali; Karpov, Alexey A.; Frolova, Olga; Grigorev, Aleksey; Lyakso, Elena (Academic Press Ltd- Elsevier Science Ltd, 2017)In this article, we present the first child emotional speech corpus in Russian, called EmoChildRu, collected from 3 to 7 years old children. The base corpus includes over 20 K recordings (approx. 30 h), collected from 120 ... -
Feature Selection and Multimodal Fusion for Estimating Emotions Evoked by Movie Clips
Timar, Yasemin; Karslıoğlu, Nihan; Kaya, Heysem; Salah, Albert Ali (Assoc Computing Machinery, 2018)Perceptual understanding of media content has many applications, including content-based retrieval, marketing, content optimization, psychological assessment, and affect-based learning. In this paper, we model audio visual ... -
Fusing Acoustic Feature Representations for Computational Paralinguistics Tasks
Kaya, Heysem; Karpov, Alexey A. (Isca-Int Speech Communication Assoc, 2016)The field of Computational Paralinguistics is rapidly growing and is of interest in various application domains ranging from biomedical engineering to forensics. The INTERSPEECH ComParE challenge series has a field-leading ... -
Hierarchical Two-Level Modelling of Emotional States in Spoken Dialog Systems
Verkholyak, Oxana Vladimirovna; Fedotov, Dmitrii; Kaya, Heysem; Zhang, Yang; Karpov, Alexey A. (IEEE, 2019)Emotions occur in complex social interactions, and thus processing of isolated utterances may not be sufficient to grasp the nature of underlying emotional states. Dialog speech provides useful information about context ... -
Introducing Weighted Kernel Classifiers for Handling Imbalanced Paralinguistic Corpora: Snoring, Addressee and Cold
Kaya, Heysem; Karpov, Alexey A. (Isca-Int Speech Communication Assoc, 2017)The field of paralinguistics is growing rapidly with a wide range of applications that go beyond recognition of emotions, laughter and personality. The research flourishes in multiple directions such as signal representation ... -
LSTM based Cross-corpus and Cross-task Acoustic Emotion Recognition
Kaya, Heysem; Fedotov, Dmitrii; Yesilkanat, Ali; Verkholyak, Oxana Vladimirovna; Zhang, Yang; Karpov, Alexey A. (Isca-Int Speech Communication Assoc, 2018)Acoustic emotion recognition is a popular and central research direction in paralinguistic analysis, due its relation to a wide range of affective states/traits and manifold applications. Developing highly generalizable ... -
Multi-modal Score Fusion and Decision Trees for Explainable Automatic Job Candidate Screening from Video CVs
Kaya, Heysem; Gürpınar, Furkan; Salah, Albert Ali (IEEE, 2017)We describe an end-to-end system for explainable automatic job candidate screening from video CVs. In this application, audio, face and scene features are first computed from an input video CV, using rich feature sets. ... -
Multimodal Fusion of Audio, Scene, and Face Features for First Impression Estimation
Gürpınar, Furkan; Kaya, Heysem; Salah, Albert Ali (IEEE Computer Soc, 2016)Affective computing, particularly emotion and personality trait recognition, is of increasing interest in many research disciplines. The interplay of emotion and personality shows itself in the first impression left on ... -
Oak Leaf Classification: An Analysis of Features and Classifiers
Kaya, Heysem; Keklik, İlhan; Ensari, Tolga; Alkan, Fatih; Biricik, Yağmur (IEEE, 2019)Automatic classification of trees from leaves is a popular computer vision/machine learning task and has important applications in monitoring of forest wealth. While the final aim is preparing an application, which is ... -
Predicting CO and NOx emissions from gas turbines: novel data and a benchmark PEMS
Kaya, Heysem; Tüfekçi, Pınar; Uzun, Erdinc (Tubitak Scientific & Technical Research Council Turkey, 2019)Predictive emission monitoring systems (PEMS) are important tools for validation and backing up of costly continuous emission monitoring systems used in gas-turbine-based power plants. Their implementation relies on the ... -
Robust Acoustic Emotion Recognition Based on Cascaded Normalization and Extreme Learning Machines
Kaya, Heysem; Karpov, Alexey A.; Salah, Albert Ali (Springer International Publishing Ag, 2016)One of the challenges in speech emotion recognition is robust and speaker-independent emotion recognition. In this paper, we take a cascaded normalization approach, combining linear speaker level, non-linear value level ... -
The Turkish Audio-Visual Bipolar Disorder Corpus
Ciftci, Elvan; Kaya, Heysem; Güleç, Hüseyin; Salah, Albert Ali (IEEE, 2018)This paper introduces a new audio-visual Bipolar Disorder (BD) corpus for the affective computing and psychiatric communities. The corpus is annotated for BD state, as well as Young Mania Rating Scale (YMRS) by psychiatrists. ... -
Video-based emotion recognition in the wild
Salah, Albert Ali; Kaya, Heysem; Gürpınar, Furkan (Academic Press Ltd-Elsevier Science Ltd, 2019)[No Abstract Available] -
Video-based emotion recognition in the wild using deep transfer learning and score fusion
Kaya, Heysem; Gürpınar, Furkan; Salah, Albert Ali (Elsevier, 2017)Multimodal recognition of affective states is a difficult problem, unless the recording conditions are carefully controlled. For recognition in the wild, large variances in face pose and illumination, cluttered backgrounds, ...