Chi-Chun Lee

Artificial Intelligence · 2004–2011

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #5,632 of 35,345 by trust here, #5,788 by citations
• Experimental and Cognitive Psychology — 14 citations into it; #705 of 9,731 by trust here, #654 by citations

Whom Chi-Chun Lee trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. R. Lazarus
2. Björn Schuller
3. Klaus R. Scherer
4. A. Genkin
5. Carlos Busso
6. Shigeo Abe
7. Nitesh V. Chawla
8. Ludmila I. Kuncheva
9. Vladimir Naumovich Vapni
10. Stefan Steidl

Who trusts Chi-Chun Lee overall

1. Björn Schuller
2. Monorama Swain
3. Dimitrios Ververidis
4. Thurid Vogt
5. Yelin Kim
6. Anton Batliner
7. Carlos Busso
8. Moataz M. H. El Ayadi
9. Stefan Steidl
10. Qi-rong Mao

Papers from Chi-Chun Lee's perspective

Ordered by how strongly the researchers Chi-Chun Lee trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Vera am Mittag German audio-visual emotional speech database (IEEE International Conference on Multimedia and Expo)
2. Modeling naturalistic affective states via facial and vocal expressions recognition (International Conference on Multimodal Interaction)
3. The Nature of Statistical Learning Theory
4. SMOTE: Synthetic Minority Over-sampling Technique
5. The INTERSPEECH 2009 emotion challenge (Interspeech)
6. Emotion recognition in human-computer interaction (Neural Networks)
7. Computing branchwidth via efficient triangulations and blocks
8. Describing the emotional states that are expressed in speech (Speech Communication)
9. Toward an affect-sensitive multimodal human-computer interaction (Proceedings of the IEEE)
10. Toward detecting emotions in spoken dialogs

Their papers

• Analysis of emotion recognition using facial expressions, speech and multimodal information (2004) — 952 citations
• IEMOCAP: interactive emotional dyadic motion capture database (2008) — 4,482 citations
• Emotion recognition using a hierarchical binary decision tree approach (2011) — 452 citations
• Toward detecting emotions in spoken dialogs (2005) — 1,068 citations