Professur für Informatik (Mustererkennung)

Deep Representation Learning for Orca Call Type Classification (2019) Bergler C, Schmitt M, Cheng RX, Schröter H, Maier A, Barth V, Weber M, Nöth E Conference contribution Natural Language Analysis to Detect Parkinson’s Disease (2019) Pérez-Toro PA, Vasquez Correa J, Strauß M, Orozco Arroyave JR, Nöth E Conference contribution A Non-linear Dynamics Approach to Classify Gait Signals of Patients with Parkinson's Disease (2018) Perez Toro PA, Camilo Vasquez-Correa J, Arias-Vergara T, Garcia-Ospina N, Orozco-Arroyave JR, Nöth E Conference contribution Automatic Intelligibility Assessment of Parkinson's Disease with Diadochokinetic Exercises (2018) Felipe Parra-Gallego L, Arias-Vergara T, Camilo Vasquez-Correa J, Garcia-Ospina N, Orozco-Arroyave JR, Nöth E Conference contribution ANN-based Alzheimer’s disease classification from bag of words (2018) Klumpp P, Fritsch JD, Nöth E Conference contribution, Original article DREGON: Dataset and Methods for UAV-Embedded Sound Source Localization (2018) Strauß M, Mordel P, Miguet V, Deleforge A Conference contribution Unobtrusive Monitoring of Speech Impairments of Parkinson's Disease Patients Through Mobile Devices (2018) Arias Vergara T, Vasquez Correa J, Orozco Arroyave JR, Klumpp P, Nöth E Conference contribution, Conference Contribution Phonological posteriors and GRU recurrent units to assess speech impairments of patients with Parkinson’s disease (2018) Vasquez Correa J, Garcia N, Orozco-Arroyave JR, Cernak M, Nöth E Book chapter / Article in edited volumes A Multitask Learning Approach to Assess the Dysarthria Severity in Patients with Parkinson's Disease (2018) Vasquez Correa J, Arias Vergara T, Orozco-Arroyave JR, Nöth E Conference contribution, Original article Multimodal i-vectors to Detect and Evaluate Parkinson's Disease (2018) Garcia N, Vasquez Correa J, Orozco-Arroyave JR, Nöth E Conference contribution