Prof. Dr.-Ing. Elmar Nöth

Professur für Informatik (Mustererkennung) Technische Fakultät

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, Rafael Orozco-Arroyave J, 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, Rafael Orozco-Arroyave J, 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 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, Arroyave JRO, Nöth E Conference contribution Speaker models for monitoring Parkinson’s disease progression considering different communication channels and acoustic conditions (2018) Arias Vergara T, Vasquez Correa J, Rafael Orozco-Arroyave J, Nöth E Journal article, Original article