Search Results for author: Heysem Kaya

Found 12 papers, 2 papers with code

Privacy Constrained Fairness Estimation for Decision Trees

no code implementations13 Dec 2023 Florian van der Steen, Fré Vink, Heysem Kaya

We show that using the Laplacian mechanism, the method is able to estimate SP with low error while guaranteeing the privacy of the individuals in the dataset with high certainty.

Fairness

The effects of gender bias in word embeddings on depression prediction

no code implementations15 Dec 2022 Gizem Sogancioglu, Heysem Kaya

We use contextual and non-contextual embeddings that are trained on domain-independent as well as clinical domain-specific data.

Data Augmentation Word Embeddings

Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting

no code implementations17 May 2022 Thomas Borger, Pablo Mosteiro, Heysem Kaya, Emil Rijcken, Albert Ali Salah, Floortje Scheepers, Marco Spruit

In this work, we investigate the application of Federated Learning to clinical Natural Language Processing, applied to the task of Violence Risk Assessment by simulating a cross-institutional psychiatric setting.

Federated Learning

Speech Analysis for Automatic Mania Assessment in Bipolar Disorder

no code implementations5 Feb 2022 Pınar Baki, Heysem Kaya, Elvan Çiftçi, Hüseyin Güleç, Albert Ali Salah

Bipolar disorder is a mental disorder that causes periods of manic and depressive episodes.

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates

no code implementations24 Feb 2021 Björn W. Schuller, Anton Batliner, Christian Bergler, Cecilia Mascolo, Jing Han, Iulia Lefter, Heysem Kaya, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Maurice Gerczuk, Panagiotis Tzirakis, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Leon J. M. Rothkrantz, Joeri Zwerts, Jelle Treep, Casper Kaandorp

The INTERSPEECH 2021 Computational Paralinguistics Challenge addresses four different problems for the first time in a research competition under well-defined conditions: In the COVID-19 Cough and COVID-19 Speech Sub-Challenges, a binary classification on COVID-19 infection has to be made based on coughing sounds and speech; in the Escalation SubChallenge, a three-way assessment of the level of escalation in a dialogue is featured; and in the Primates Sub-Challenge, four species vs background need to be classified.

Binary Classification Representation Learning

Is Everything Fine, Grandma? Acoustic and Linguistic Modeling for Robust Elderly Speech Emotion Recognition

1 code implementation7 Sep 2020 Gizem Soğancıoğlu, Oxana Verkholyak, Heysem Kaya, Dmitrii Fedotov, Tobias Cadèe, Albert Ali Salah, Alexey Karpov

Acoustic and linguistic analysis for elderly emotion recognition is an under-studied and challenging research direction, but essential for the creation of digital assistants for the elderly, as well as unobtrusive telemonitoring of elderly in their residences for mental healthcare purposes.

Speech Emotion Recognition

Adaptive Mixtures of Factor Analyzers

1 code implementation10 Jul 2015 Heysem Kaya, Albert Ali Salah

A mixture of factor analyzers is a semi-parametric density estimator that generalizes the well-known mixtures of Gaussians model by allowing each Gaussian in the mixture to be represented in a different lower-dimensional manifold.

Clustering Dimensionality Reduction +1

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