Recursion in language, theory-of-mind inference and arithmetic: aphasia and Alzheimer's disease. - Zoltán Bánréti; Éva Mészáros; Ildikó Hoffmann; Zita Orley (ExLing, 2011)

Automatic detection of mild cognitive impairment from spontaneous speech using ASR. - László Tóth 001; Gábor Gosztolya; Veronika Vincze; Ildikó Hoffmann; Gréta Szatlóczki; Edit Biró; Fruzsina Zsura; Magdolna Pákáski; János Kálmán (INTERSPEECH, 2015)

Detecting Mild Cognitive Impairment by Exploiting Linguistic Information from Transcripts. - Veronika Vincze; Gábor Gosztolya; László Tóth 001; Ildikó Hoffmann; Gréta Szatlóczki; Zoltán Bánréti; Magdolna Pákáski; János Kálmán (ACL (2), 2016)

Detecting Mild Cognitive Impairment from Spontaneous Speech by Correlation-Based Phonetic Feature Selection. - Gábor Gosztolya; László Tóth 001; Tamás Grósz; Veronika Vincze; Ildikó Hoffmann; Gréta Szatlóczki; Magdolna Pákáski; János Kálmán (INTERSPEECH, 2016)

Identifying Schizophrenia Based on Temporal Parameters in Spontaneous Speech. - Gábor Gosztolya; Anita Bagi; Szilvia Szalóki; István Szendi; Ildikó Hoffmann (INTERSPEECH, 2018)

Assessing Alzheimer's Disease from Speech Using the i-vector Approach. - José Vicente Egas López; László Tóth 001; Ildikó Hoffmann; János Kálmán; Magdolna Pákáski; Gábor Gosztolya (SPECOM, 2019)

Identifying Mild Cognitive Impairment and mild Alzheimer's disease based on spontaneous speech using ASR and linguistic features. - Gábor Gosztolya; Veronika Vincze; László Tóth 001; Magdolna Pákáski; János Kálmán; Ildikó Hoffmann (Comput. Speech Lang., 2019)

Making a Distinction Between Schizophrenia and Bipolar Disorder Based on Temporal Parameters in Spontaneous Speech. - Gábor Gosztolya; Anita Bagi; Szilvia Szalóki; István Szendi; Ildikó Hoffmann (INTERSPEECH, 2020)

Cross-lingual detection of mild cognitive impairment based on temporal parameters of spontaneous speech. - Gábor Gosztolya; Réka Balogh; Nóra Imre; José Vicente Egas López; Ildikó Hoffmann; Veronika Vincze; László Tóth 001; Davangere P. Devanand; Magdolna Pákáski; János Kálmán (Comput. Speech Lang., 2021)

Using Acoustic Deep Neural Network Embeddings to Detect Multiple Sclerosis From Speech. - Gábor Gosztolya; László Tóth 001; Veronika Svindt; Judit Bóna; Ildikó Hoffmann (ICASSP, 2022)

Using Spectral Sequence-to-Sequence Autoencoders to Assess Mild Cognitive Impairment. - Mercedes Vetráb; José Vicente Egas López; Réka Balogh; Nóra Imre; Ildikó Hoffmann; László Tóth 001; Magdolna Pákáski; János Kálmán; Gábor Gosztolya (ICASSP, 2022)

Linguistic Parameters of Spontaneous Speech for Identifying Mild Cognitive Impairment and Alzheimer Disease. - Veronika Vincze; Martina Katalin Szabó; Ildikó Hoffmann; László Tóth 001; Magdolna Pákáski; János Kálmán; Gábor Gosztolya (Comput. Linguistics, 2022)

Automatic screening of mild cognitive impairment and Alzheimer's disease by means of posterior-thresholding hesitation representation. - José Vicente Egas López; Réka Balogh; Nóra Imre; Ildikó Hoffmann; Martina Katalin Szabó; László Tóth 001; Magdolna Pákáski; János Kálmán; Gábor Gosztolya (Comput. Speech Lang., 2022)

Automated Multiple Sclerosis Screening Based on Encoded Speech Representations. - José Vicente Egas López; Veronika Svindt; Judit Bóna; Ildikó Hoffmann; Gábor Gosztolya (INTERSPEECH, 2023)

Automatic Longitudinal Investigation of Multiple Sclerosis Subjects. - Gábor Gosztolya; Veronika Svindt; Judit Bóna; Ildikó Hoffmann (INTERSPEECH, 2024)

Wav2vec 2.0 Embeddings Are No Swiss Army Knife - A Case Study for Multiple Sclerosis. - Gábor Gosztolya; Mercedes Vetráb; Veronika Svindt; Judit Bóna; Ildikó Hoffmann (INTERSPEECH, 2024)

Automatic Assessment of Signs of Alcohol Dependency Syndrome from Spontaneous Speech. - Gábor Gosztolya; András Bence Lázár; Ildikó Hoffmann; Otília Bagi; Fruzsina Fanni Farkas; Janka Gajdics; László Tóth 001; János Kálmán (SPECOM (2), 2024)

Investigating the Utility of wav2vec 2.0 Hidden Layers for Detecting Multiple Sclerosis. - Gábor Gosztolya; László Tóth 001; Veronika Svindt; Judit Bóna; Ildikó Hoffmann (SPECOM (1), 2024)