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Person

Nicholas Cummins

Wissenschaftlicher Mitarbeiter

Name	Nicholas Cummins
Zeit	ca. 20. / 21. Jh. (Lebensdaten)
Ort	New South Wales (Wirkungsort) Augsburg (Wirkungsort) Australien Deutschland
Geschlecht	männlich
Akademischer Grad bzw. Titel	Dr.
Beruf	Wissenschaftlicher Mitarbeiter (charakteristischer Beruf)
Beziehung	Medizinische Informatik (Thema)
Themengebiet	Personen zu Informatik, Datenverarbeitung Personen zu Medizin, Tiermedizin
Weitere Angaben	Wiss. Mitarbeiter an der Universität Augsburg, ZD.B Lehrstuhl für Embedded Intelligence for Health Care and Wellbeing, Doktor in Elektrotechnik an der University of New South Wales 2016, schreibt für mehrere Zeitschriften (Stand 2019)
Quelle	https://www.informatik.uni-augsburg.de/de/lehrstuehle/eihw/staff/cummins/ (Stand: 13.11.2019)
Datensatztyp	Person
GND-Nummer	116625562X
Datensatz-ID	116625562X
Beteiligt an alle anzeigen Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model Multilingual markers of depression in remotely collected speech samples: a preliminary analysis Automatic emotion recognition in children with autism: a systematic literature review Evaluating the impact of voice activity detection on speech emotion recognition for autistic children Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder Remote assessment of disease and relapse in major depressive disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions Exploring zero-shot emotion recognition in speech using semantic-embedding prototypes Guided generative adversarial neural network for representation learning and audio generation using fewer labelled audio data Hierarchical attention-based temporal convolutional networks for EEG-based emotion recognition Investigating the impact of Covid-19 lockdown on adults with a recent history fo recurrent major depressive disorder: a multi-centre study using remote measurement technology New avenues in audio intelligence: towards holistic real-life audio understanding Predictable robots for autistic children: variance in robot behaviour, idiosyncrasies in autistic children's characteristics, and child–robot engagement Remote smartphone-based speech collection: acceptance and barriers in individuals with major depressive disorder Self-attention transfer networks for speech emotion recognition "Are you playing a shooter again?!": Deep representation learning for audio-based video game genre recognition A comparison of acoustic and linguistics methodologies for Alzheimer's dementia recognition A curriculum learning approach for pain intensity recognition from facial expressions An evaluation of the effect of anxiety on speech - computational prediction of anxiety from sustained vowels An investigation of cross-cultural semi-supervised learning for continuous affect recognition Automatic assessment of depression from speech via a hierarchical attention transfer network and attention autoencoders Enhancing transferability of black-box adversarial attacks via lifelong learning for speech emotion recognition models Five crucial challenges in digital health Hierarchical attention transfer networks for depression assessment from speech Hierarchical component-attention based speaker turn embedding for emotion recognition Hybrid network feature extraction for depression assessment from speech Squeeze for sneeze: compact neural networks for cold and flu recognition A hierarchical attention network-based approach for depression detection from transcribed clinical interviews Adversarial training in affective computing and sentiment analysis: recent advances and perspectives Analysing and inferring of intimacy based on fNIRS signals and peripheral physiological signals Attention-enhanced connectionist temporal classification for discrete speech emotion recognition Autonomous emotion learning in speech: a view of zero-shot speech emotion recognition AVEC 2019 workshop and challenge: state-of-mind, detecting depression with AI, and cross-cultural affect recognition AVEC'19: audio/visual emotion challenge and workshop Context modelling using hierarchical attention networks for sentiment and self-assessed emotion detection in spoken narratives Continuous emotion recognition in speech: do we need recurrence? Emotional expression in psychiatric conditions: new technology for clinicians From speech to facial activity: towards cross-modal sequence-to-sequence attention networks I know how you feel now, and here's why!: Demystifying time-continuous high resolution text-based affect predictions in the wild Multi-instance learning for bipolar disorder diagnosis using weakly labelled speech data Performance analysis of unimodal and multimodal models in valence-based empathy recognition Using speech to predict sequentially measured cortisol levels during a trier social stress test A fusion of deep convolutional generative adversarial networks and sequence to sequence autoencoders for acoustic scene classification AVEC 2018 workshop and challenge: bipolar disorder and cross-cultural affect recognition Bag-of-deep-features: noise-robust deep feature representations for audio analysis Calibrated prediction intervals for neural network regressors Deep convolutional recurrent neural network for rare acoustic event detection Deep end-to-end representation learning for food type recognition from speech Deep unsupervised representation learning for abnormal heart sound classification Emotion-awareness for intelligent vehicle assistants: a research agenda Evaluation of the pain level from speech: introducing a novel pain database and benchmarks How did you like 2017? Detection of language markers of depression and narcissism in personal narratives How good is your model 'really'? On 'wildness' of the in-the-wild speech-based affect recognisers Learning image-based representations for heart sound classification Low level texture features for snore sound discrimination Multimodal bag-of-words for cross domains sentiment analysis Recognition of echolalic autistic child vocalisations utilising convolutional recurrent neural networks Robust laughter detection for wearable wellbeing sensing Speech analysis for health: current state-of-the-art and the increasing impact of deep learning State of mind: classification through self-reported affect and word use in speech

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Katalog der Deutschen Nationalbibliothek

Nicholas Cummins

Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model

Multilingual markers of depression in remotely collected speech samples: a preliminary analysis

Automatic emotion recognition in children with autism: a systematic literature review

Evaluating the impact of voice activity detection on speech emotion recognition for autistic children

Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder

Remote assessment of disease and relapse in major depressive disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study

The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions

Exploring zero-shot emotion recognition in speech using semantic-embedding prototypes

Guided generative adversarial neural network for representation learning and audio generation using fewer labelled audio data

Hierarchical attention-based temporal convolutional networks for EEG-based emotion recognition

Investigating the impact of Covid-19 lockdown on adults with a recent history fo recurrent major depressive disorder: a multi-centre study using remote measurement technology

New avenues in audio intelligence: towards holistic real-life audio understanding

Predictable robots for autistic children: variance in robot behaviour, idiosyncrasies in autistic children's characteristics, and child–robot engagement

Remote smartphone-based speech collection: acceptance and barriers in individuals with major depressive disorder

Self-attention transfer networks for speech emotion recognition

"Are you playing a shooter again?!": Deep representation learning for audio-based video game genre recognition

A comparison of acoustic and linguistics methodologies for Alzheimer's dementia recognition

A curriculum learning approach for pain intensity recognition from facial expressions

An evaluation of the effect of anxiety on speech - computational prediction of anxiety from sustained vowels

An investigation of cross-cultural semi-supervised learning for continuous affect recognition

Automatic assessment of depression from speech via a hierarchical attention transfer network and attention autoencoders

Enhancing transferability of black-box adversarial attacks via lifelong learning for speech emotion recognition models

Five crucial challenges in digital health

Hierarchical attention transfer networks for depression assessment from speech

Hierarchical component-attention based speaker turn embedding for emotion recognition

Hybrid network feature extraction for depression assessment from speech

Squeeze for sneeze: compact neural networks for cold and flu recognition

A hierarchical attention network-based approach for depression detection from transcribed clinical interviews

Adversarial training in affective computing and sentiment analysis: recent advances and perspectives

Analysing and inferring of intimacy based on fNIRS signals and peripheral physiological signals

Attention-enhanced connectionist temporal classification for discrete speech emotion recognition

Autonomous emotion learning in speech: a view of zero-shot speech emotion recognition

AVEC 2019 workshop and challenge: state-of-mind, detecting depression with AI, and cross-cultural affect recognition

AVEC'19: audio/visual emotion challenge and workshop

Context modelling using hierarchical attention networks for sentiment and self-assessed emotion detection in spoken narratives

Continuous emotion recognition in speech: do we need recurrence?

Emotional expression in psychiatric conditions: new technology for clinicians

From speech to facial activity: towards cross-modal sequence-to-sequence attention networks

I know how you feel now, and here's why!: Demystifying time-continuous high resolution text-based affect predictions in the wild

Multi-instance learning for bipolar disorder diagnosis using weakly labelled speech data

Performance analysis of unimodal and multimodal models in valence-based empathy recognition

Using speech to predict sequentially measured cortisol levels during a trier social stress test

A fusion of deep convolutional generative adversarial networks and sequence to sequence autoencoders for acoustic scene classification

AVEC 2018 workshop and challenge: bipolar disorder and cross-cultural affect recognition

Bag-of-deep-features: noise-robust deep feature representations for audio analysis

Calibrated prediction intervals for neural network regressors

Deep convolutional recurrent neural network for rare acoustic event detection

Deep end-to-end representation learning for food type recognition from speech

Deep unsupervised representation learning for abnormal heart sound classification

Emotion-awareness for intelligent vehicle assistants: a research agenda

Evaluation of the pain level from speech: introducing a novel pain database and benchmarks

How did you like 2017? Detection of language markers of depression and narcissism in personal narratives

How good is your model 'really'? On 'wildness' of the in-the-wild speech-based affect recognisers

Learning image-based representations for heart sound classification

Low level texture features for snore sound discrimination

Multimodal bag-of-words for cross domains sentiment analysis

Recognition of echolalic autistic child vocalisations utilising convolutional recurrent neural networks

Robust laughter detection for wearable wellbeing sensing

Speech analysis for health: current state-of-the-art and the increasing impact of deep learning

State of mind: classification through self-reported affect and word use in speech