Anton Batliner
Experimental and Cognitive Psychology · 2003–2020
A researcher in the Science corpus: 11 papers; trusts 20 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Experimental and Cognitive Psychology — 60 citations into it; #876 of 9,731 by trust here, #1,242 by citations
- Artificial Intelligence — 52 citations into it; #6,025 of 35,345 by trust here, #7,241 by citations
- Signal Processing — 44 citations into it; #1,108 of 7,572 by trust here, #1,748 by citations
- Social Psychology — 34 citations into it
- Cognitive Neuroscience — 16 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it
Whom Anton Batliner trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Björn Schuller
- Florian Eyben
- Chi-Chun Lee
- Stefan Steidl
- Martin Wöllmer
- Paul P. G. Boersma
- Ian H. Witten
- Mark A. Hall
- Oh-Wook Kwon
- Yoshua Bengio
Who trusts Anton Batliner overall
- Björn Schuller
- Florian Eyben
- R. Cowie
- Michel François Valstar
- Stefan Steidl
- Thurid Vogt
- Hatice Gunes
- Christos-Nikolaos E. Anagnostopoulos
- Jun Deng
- Duc Le
Papers from Anton Batliner's perspective
Ordered by how strongly the researchers Anton Batliner trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- The INTERSPEECH 2020 Computational Paralinguistics Challenge: Elderly Emotion, Breathing & Masks (2020) — 134 citations
- The HUMAINE Database: Addressing the Collection and Annotation of Naturalistic and Induced Emotional Data (2007) — 366 citations
- The INTERSPEECH 2016 Computational Paralinguistics Challenge: Deception, Sincerity & Native Language (2016) — 350 citations
- A Survey on perceived speaker traits: Personality, likability, pathology, and the first challenge (2015) — 84 citations
- Computer Speech and Language: Introduction (2015) — 536 citations
- The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism (2013) — 805 citations
- Paralinguistics in speech and language - State-of-the-art and the challenge (2013) — 343 citations
- Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011) — 788 citations
- The INTERSPEECH 2010 paralinguistic challenge (2010) — 597 citations
- The INTERSPEECH 2009 emotion challenge (2009) — 1,032 citations
- How to find trouble in communication (2003) — 326 citations