Lucas Goncalves

Lucas Goncalves

Ph.D. Student at The University of Texas at Dallas

Publications

Google Scholar Profile

Conference

Wei-Cheng Lin, Lucas Goncalves, and Carlos Busso, “Enhancing Resilience to Missing Data in Audio-Text Emotion Recognition with Multi-Scale Chunk Regularization,” ACM International Conference on Multimodal Interaction (ICMI), Paris, France, October 2023.

Shreya G. Upadhyay, Woan-Shiuan Chien, Bo-Hao Su, Lucas Goncalves, Ya-Tse Wu, Ali N. Salman, Carlos Busso, and Chi-Chun Lee, “An Intelligent Infrastructure Toward Large Scale Naturalistic Affective Speech Corpora Collection” International Conference on Affective Computing and Intelligent Interaction (ACII 2023), Cambridge, MA, USA, Sept. 2023.

Huang-Cheng Chou, Lucas Goncalves, Seong-Gyun Leem, Chi-Chun Lee, and Carlos Busso, “The importance of calibration: Rethinking confidence and performance of speech multi-label emotion classifiers,” In Interspeech 2023, Dublin, Ireland, August 2023.

Lucas Goncalves and Carlos Busso, “ Learning Cross-modal Audiovisual Representations with Ladder Networks for Emotion Recognition,” in IEEE international conference on acoustics, speech and signal processing (ICASSP 2023), Rhodes Island, Greece, June 2023.

Lucas Goncalves and Carlos Busso, “ Improving Speech Emotion Recognition Using Self-Supervised Learning with Domain-Specific Audiovisual Tasks” in Interspeech 2022, Incheon, Korea, September 2022.

Lucas Goncalves and Carlos Busso, “ AuxFormer: Robust Approach to Audiovisual Emotion Recognition” in IEEE international conference on acoustics, speech and signal processing (ICASSP 2022), Singapore, May 2022.

Journal

Lucas Goncalves, Seong-Gyun Leem, Wei-Cheng Lin, Berrak Sisman, and Carlos Busso , “Versatile audiovisual learning for handling single and multi modalities in emotion regression and classification tasks,” ArXiv e-prints (arXiv:2305.07216), pp. 1-14, May 2023.

Lucas Goncalves and Carlos Busso , “Robust audiovisual emotion recognition: Aligning modalities, capturing temporal information, and handling missing features,” IEEE Transactions on Affective Computing, vol. 13, no. 4, pp. 2156-2170, October-December 2022.