Assessing Parkinson's Disease from Speech Using Fisher Vectors. - José Vicente Egas López; Juan Rafael Orozco-Arroyave; Gábor Gosztolya (INTERSPEECH, 2019)

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)

Predicting a Cold from Speech Using Fisher Vectors; SVM and XGBoost as Classifiers. - José Vicente Egas López; Gábor Gosztolya (SPECOM, 2020)

They are wearing a mask! Identification of Subjects Wearing a Surgical Mask from their Speech by means of x-vectors and Fisher Vectors. - José Vicente Egas López (CoRR, 2020)

Deep Neural Network Embeddings for the Estimation of the Degree of Sleepiness. - José Vicente Egas López; Gábor Gosztolya (ICASSP, 2021)

Identifying Conflict Escalation and Primates by Using Ensemble X-Vectors and Fisher Vector Features. - José Vicente Egas López; Mercedes Vetráb; László Tóth 001; Gábor Gosztolya (Interspeech, 2021)

Using the Fisher Vector Approach for Cold Identification. - José Vicente Egas López; Gábor Gosztolya (Acta Cybern., 2021)

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)

Automatic Assessment of the Degree of Clinical Depression from Speech Using X-Vectors. - José Vicente Egas López; Gábor Kiss; Dávid Sztahó; Gábor Gosztolya (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)

Identification of Subjects Wearing a Surgical Mask from Their Speech by Means of X-vectors and Fisher Vectors. - José Vicente Egas López; Gábor Gosztolya (MDAI, 2022)

On the Use of Ensemble X-Vector Embeddings for Improved Sleepiness Detection. - José Vicente Egas López; Róbert Busa-Fekete; Gábor Gosztolya (SPECOM, 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)

Speech-Based Screening of Multiple Sclerosis By Features Derived from Self-Supervised Models. - Gábor Gosztolya; José Vicente Egas López (ICECET, 2023)

Measuring the State-Observation-Gap in POMDPs: An Exploration of Observation Confidence and Weighting Algorithms. - Yide Yu; Yan Ma 003; Yue Liu 001; Dennis Wong; Kin Lei; José Vicente Egas López (AIAI (1), 2023)

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

Using Custom X-vectors for the Automatic Screening of COVID-19 Based on Coughing Audio Samples. - José Vicente Egas López; Gábor Gosztolya (SACI, 2023)

Identifying Subjects Wearing a Mask from the Speech by Means of Encoded Speech Representations. - José Vicente Egas López; Gábor Gosztolya (TSD, 2023)

Adaptation of Speaker and Speech Recognition Methods for the Automatic Screening of Speech Disorders using Machine Learning - José Vicente Egas López (2023)

CAGE: A Curiosity-Driven Graph-Based Explore-Exploit Algorithm for Solving Deterministic Environment MDPs With Limited Episode Problem. - Yide Yu; Yue Liu 001; Dennis Wong; Huijie Li; José Vicente Egas López; Yan Ma 003 (IEEE Access, 2024)