Andrius Dzedzickis
Experimental and Cognitive Psychology · 2020
A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Experimental and Cognitive Psychology — 21 citations into it
- Cognitive Neuroscience — 13 citations into it
- Social Psychology — 11 citations into it
- Cardiology and Cardiovascular Medicine — 7 citations into it
- Biomedical Engineering — 5 citations into it
Whom Andrius Dzedzickis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mohammad Soleymani
- John Allen
- Jennifer A. Healey
- Rosalind W. Picard
- Guillaume Chanel
- Johannes Wagner
- Mojtaba Khomami Abadi
- Thierry Pun
- Christos D. Katsis
- Andreas Bulling
Who trusts Andrius Dzedzickis overall
Papers from Andrius Dzedzickis's perspective
Ordered by how strongly the researchers Andrius Dzedzickis trusts endorse each paper. Same corpus, a different order for every researcher.
- DEAP: A Database for Emotion Analysis ;Using Physiological Signals (IEEE Transactions on Affective Computing)
- Using Noninvasive Wearable Computers to Recognize Human Emotions from Physiological Signals (EURASIP Journal on Advances in Signal Processing)
- A Multimodal Database for Affect Recognition and Implicit Tagging (IEEE Transactions on Affective Computing)
- Detecting stress during real-world driving tasks using physiological sensors (IEEE transactions on intelligent transportation systems (Print))
- Wearable and automotive systems for affect recognition from physiology
- Emotion Assessment: Arousal Evaluation Using EEG's and Peripheral Physiological Signals (Multimedia Content Representation, Classification and Security)
- What are emotions? And how can they be measured?
- From Physiological Signals to Emotions: Implementing and Comparing Selected Methods for Feature Extraction and Classification (IEEE International Conference on Multimedia and Expo)
- Toward Machine Emotional Intelligence: Analysis of Affective Physiological State (IEEE Transactions on Pattern Analysis and Machine Intelligence)
- ImageNet classification with deep convolutional neural networks
Their papers
- Human Emotion Recognition: Review of Sensors and Methods (2020) — 488 citations