Xunyi Zhao, Huijuan Wang (2021), Suppressing Epidemic Spreading via Contact Blocking in Temporal Networks, Rosa M. Benito, Chantal Cherifi, Hocine Cherifi, Esteban Moro, Luis Mateus Rocha, Marta Sales-Pardo (Eds.), In Complex Networks and Their Applications IX Volume 1 p.444-454, Springer.
Xinsheng Wang, Justin van der Hout, Jihua Zhu, Mark Hasegawa-Johnson, Odette Scharenborg (2021), Synthesizing Spoken Descriptions of Images, In IEEE - ACM Transactions on Audio, Speech, and Language Processing Volume 29 p.3242-3254.
O.E. Scharenborg (2021), Talenten aan het woord: Talenwonder Odette.
Jialin Bi, Ji Jin, Cunquan Qu, Xiuxiu Zhan, Guanghui Wang, Guiying Yan (2021), Temporal gravity model for important node identification in temporal networks, In Chaos, Solitons and Fractals Volume 147.
Feng Hu, Lin Ma, Xiu Xiu Zhan, Yinzuo Zhou, Chuang Liu, Haixing Zhao, Zi Ke Zhang (2021), The aging effect in evolving scientific citation networks, In Scientometrics Volume 126 p.4297-4309.
Polina Drozdova, Roeland van Hout, Sven Mattys, Odette Scharenborg (2021), The effect of intermittent noise on lexically-guided perceptual learning in native and non-native listening, In Speech Communication Volume 126 p.61-70.
Siyuan Feng, Odette Scharenborg (2021), The effectiveness of self-supervised representation learning in zero-resource subword modeling, Michael B. Matthews (Eds.), In 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021 p.1414-1418, IEEE.
Siyuan Feng, Odette Scharenborg (2021), The effectiveness of unsupervised subword modeling with autoregressive and cross-lingual phone-aware networks, In IEEE Open Journal of Signal Processing Volume 2 p.230 - 247.
Florian Hintz, Cesko C. Voeten, James M. McQueen , Odette Scharenborg (2021), The effects of onset and offset masking on the time course of non-native spoken-word recognition in noise, In Proceedings of the Cognitive Science (CogSci) conference p.133-139, Cognitive Science Society.
Florian Hintz, Cesko C. Voeten, Odette Scharenborg (2021), The presence of background noise reduces interlingual phonological competition during non-native speech recognition, The 34th Annual CUNY Conference on Human Sentence Processing.