Professur für Informatik (Mustererkennung)

Apkinson: A mobile solution for multimodal assessment of patients with Parkinson's disease (2019) Vásquez-Correa JC, Klumpp P, Arias-Vergara T, Strauss M, Küderle A, Roth N, Bayerl S, et al. Conference contribution, Original article 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) 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