Accepted Papers

ID	Paper Title	Author Names	Poster	Pitch	Citation
1	An Introduction to Quantum Natural Language Processing and a Study Case Machine Learning Quantum Natural Language Processing Poster	Javier Orduz, Shubhangi Rastogi, Erich Baker			Rastogi, S. et al., (2022). An Introduction to Quantum Natural Language Processing and a Study Case [Poster Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2022, Baltimore, Maryland USA. https://research.latinxinai.org/papers/icml/2022/pdf/poster_1.pdf
2	Bottleneck-based Encoder-decoder ARchitecture (BEAR) for Learning Unbiased Consumer-to-Consumer Image Representations Machine Learning Computer Vision Poster	Pablo Rivas, Gisela Bichler, Tomas Cerny, Laurie Giddens, Stacie Petter			Rivas, P. et al., (2022). Bottleneck-based Encoder-decoder ARchitecture (BEAR) for Learning Unbiased Consumer-to-Consumer Image Representations [Poster Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2022, Baltimore, Maryland USA. https://research.latinxinai.org/papers/icml/2022/pdf/poster_2.pdf
3	AI For Preservation of Cultural Heritage: Classifier Guided Diffusion for Image Inpainting. Applications to Fine Art Machine Learning Image Classification Poster	Lucia Cipolina-Kun, Sergio M. Papadakis, Niranjan Krishna, Simone Caenazzo, Gaston Mazzei			Cipolina-Kun, L. et al., (2022). AI For Preservation of Cultural Heritage: Classifier Guided Diffusion for Image Inpainting. Applications to Fine Art [Poster Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2022, Baltimore, Maryland USA. https://doi.org/10.52591/lxai202207174
4	A Model-Based Filter to Improve Local Differential Privacy Machine Learning Data Privacy Poster	Juan M. Gutierrez, Valérie Gauthier-Umaña, Juan F.Pérez			Gutierrez, J. M. et al., (2022). A Model-Based Filter to Improve Local Differential Privacy [Poster Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2022, Baltimore, Maryland USA. https://doi.org/10.52591/lxai202207171
5	A Study on the Predictability of Sample Learning Consistency Machine Learning Curriculum Learning, C-score Poster	Alain Raymond-Sáes, Julio Hurtado, Álvaro Soto			Raymond-Sáes, A. et al., (2022). A Study on the Predictability of Sample Learning Consistency [Poster Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2022, Baltimore, Maryland USA. https://doi.org/10.52591/lxai202207172
6	Link Prediction from Heterogeneous Opinion Mining Networks with Multi-Domain Applications Machine Learning Natural Language Processing, Opinion Mining and Analysis Poster	Bernardo M. Costa, Aime Nobrega, Adailton Araujo, Ricardo Marcacini			Costa, M. B. et al., (2022). Link Prediction from Heterogeneous Opinion Mining Networks with Multi-Domain Applications [Poster Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2022, Baltimore, Maryland USA. https://research.latinxinai.org/papers/icml/2022/pdf/poster_6.pdf
7	Transfer Learning with Joint Fine-Tuning for Multimodal Sentiment Analysis Machine Learning Transfer Laearning, Sentiment Analysis Poster	Guilherme L. Toledo, Ricardo M. Marcacini			Toledo, G. L. et al., (2022). Transfer Learning with Joint Fine-Tuning for Multimodal Sentiment Analysis [Poster Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2022, Baltimore, Maryland USA. https://doi.org/10.52591/lxai202207173
8	Interpretable Process Mining Opportunities and Challenges Machine Learning Process Mining Interpretation, Explanability Oral	Ana Rocío Cárdenas Maita, Marcelo Fantinato			Cárdenas Maita, A. R. et al., (2022). Interpretable Process Mining Opportunities and Challenges [Oral Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2022, Baltimore, Maryland USA. https://doi.org/10.52591/lxai202207175