Professur für Informatik (Mustererkennung)

Assessing Parkinson's disease from speech using fisher vectors (2019) Egas López JV, Orozco Arroyave JR, Gosztolya G Conference contribution Feature space visualization with spatial similarity maps for pathological speech data (2019) Klumpp P, Vasquez Correa J, Haderlein T, Nöth E Conference contribution Phonet: A tool based on gated recurrent neural networks to extract phonological posteriors from speech (2019) Vasquez Correa J, Klumpp P, Orozco Arroyave JR, Nöth E Conference contribution Feature representation of pathophysiology of parkinsonian dysarthria (2019) Rueda A, Vasquez Correa J, Rios-Urrego CD, Orozco-Arroyave JR, Krishnan S, Nöth E Conference contribution 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) Pérez 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