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Mapping connections between biological-emotional preferences and affective recognition: An eye-tracking interface for passive assessment of emotional competency.

, , , , , , and . ACII, page 21-27. IEEE Computer Society, (2015)

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Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem?, , , and . NeurIPS, (2022)On Audio Enhancement via Online Non-Negative Matrix Factorization., , , , and . CISS, page 287-291. IEEE, (2022)Mapping connections between biological-emotional preferences and affective recognition: An eye-tracking interface for passive assessment of emotional competency., , , , , , and . ACII, page 21-27. IEEE Computer Society, (2015)The Manifold Scattering Transform for High-Dimensional Point Cloud Data., , , , , , , , and . TAG-ML, volume 196 of Proceedings of Machine Learning Research, page 67-78. PMLR, (2022)Wire Before You Walk., , , , and . ACSSC, page 714-716. IEEE, (2023)Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning., , , , , , , and . RECOMB, volume 14758 of Lecture Notes in Computer Science, page 235-252. Springer, (2024)Towards a General GNN Framework for Combinatorial Optimization., , , and . CoRR, (2024)Learnable Filters for Geometric Scattering Modules., , , , , , , and . IEEE Trans. Signal Process., (2024)Linking volitional preferences for emotional information to social difficulties: A game approach using the microsoft kinect., , , , , , , and . ACII, page 588-594. IEEE Computer Society, (2015)Development of an untethered, mobile, low-cost head-mounted eye tracker., , , , , , , , , and 2 other author(s). ETRA, page 247-250. ACM, (2014)