Accepted Papers

Full Papers

Paper ID

Paper Title

Author Names

PDF

Citation

9 Deep learning for the identification of multidrug resistance in MALDI-TOF MS samples of Escherichia coli
Machine Learning for Science Poster
Xaviera Lopez-Cortés, Jose Manriquez-Troncoso
Lopez-Cortés, X. et al., (2023). Deep learning for the identification of multidrug resistance in MALDI-TOF MS samples of Escherichia coli [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2023, New Orleans, Louisiana. https://doi.org/10.52591/lxai202312102
21 FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging Segmentation
Machine Learning for Science Poster
Adrian Celaya, Beatrice Riviere, David Fuentes
Celaya, A. et al., (2023). FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging Segmentation [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2023, New Orleans, Louisiana. https://doi.org/10.52591/lxai202312104
23 Explaining Drug Repositioning: A Case-Based Reasoning Graph Neural Network Approach
Machine Learning for Science Poster
Carolina González-Cavazos, Roger Tu, Meghamala Sinha, Andrew I. Su
González-Cavazos, C. et al., (2023). Explaining Drug Repositioning: A Case-Based Reasoning Graph Neural Network Approach [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2023, New Orleans, Louisiana. https://research.latinxinai.org/papers/neurips/2023/pdf/Carolina_Gonzalez-Cavazos.pdf
38 Joint Inversion of Time-Lapse Surface Gravity and Seismic Data for Monitoring of 3D CO2 Plumes via Deep Learning
Machine Learning for Science Poster
Adrian Celaya, Mauricio Araya-Polo
Celaya, A. et al., (2023). Joint Inversion of Time-Lapse Surface Gravity and Seismic Data for Monitoring of 3D CO2 Plumes via Deep Learning [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2023, New Orleans, Louisiana. https://research.latinxinai.org/papers/neurips/2023/pdf/Adrian_Celaya2.pdf

Poster Presentations

Paper ID

Paper Title

Author Names

PDF

Citation

4 BERTaú: Itaú BERT for digital customer service
Applications Poster
Paulo R. Finardi, José Die Viegas, Gustavo Ferreira, Alex Fernandes, Vinicius F. Caridá
Caridá, V. F. et al., (2023). BERTaú: Itaú BERT for digital customer service [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2023, New Orleans, Louisiana. https://doi.org/10.52591/lxai202312107
7 Self-Consuming Generative Models go MAD
Deep Learning Poster
Josue Casco-Rodriguez, Sina Alemohammad, Lorenzo Luzi, Ahmed Imtiaz Humayun, Hossein Babaei, Daniel LeJeune, Ali Siahkoohi, Richard Baraniuk
Casco-Rodriguez, J. et al., (2023). Self-Consuming Generative Models go MAD [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2023, New Orleans, Louisiana. https://doi.org/10.52591/lxai202312101
8 Cluster-Aware Algorithms for AI-Enabled Precision Medicine
Machine Learning for Science Poster
Amanda M Buch, Conor Liston, Logan Grosenick
Buch, A. M. et al., (2023). Cluster-Aware Algorithms for AI-Enabled Precision Medicine [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2023, New Orleans, Louisiana. https://doi.org/10.52591/lxai2023121011
14 Evaluating Non-Functional Requirements Classification for Spanish Text: Traditional vs. Deep Learning Approaches
Applications Poster
María Isabel Limaylla-Lunarejo, Nelly Condori-Fernandez, Miguel Angel Rodriguez Luaces
Limaylla-Lunarejo, M. I. et al., (2023). Evaluating Non-Functional Requirements Classification for Spanish Text: Traditional vs. Deep Learning Approaches [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2023, New Orleans, Louisiana. https://doi.org/10.52591/lxai202312103
19 Assessment of Semantic Segmentation Models for Landslide Monitoring Using Satellite Imagery in Peruvian Andes
Machine Learning for Science Poster
Roy Yali, Pablo Fonseca, Cesar Beltran
Yali, R. et al., (2023). Assessment of Semantic Segmentation Models for Landslide Monitoring Using Satellite Imagery in Peruvian Andes [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2023, New Orleans, Louisiana. https://doi.org/10.52591/lxai202312108
22 Enhancing Anomaly Detection with Spatial Transform Networks
Optimization Poster
Renato Castro Cruz, Cristian Lazo Quispe
Castro Cruz, R. et al., (2023). Enhancing Anomaly Detection with Spatial Transform Networks [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2023, New Orleans, Louisiana. https://doi.org/10.52591/lxai2023121010
34 The Representation Jensen-Shannon Divergence
Probabilistics Methods Poster
Jhoan K. Hoyos, Santiago Posso-Murillo, Luis G. Sanchez-Giraldo
Hoyos, J. K. et al., (2023). The Representation Jensen-Shannon Divergence [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2023, New Orleans, Louisiana. https://research.latinxinai.org/papers/neurips/2023/pdf/Jhoan_Hoyos.pdf
35 A Saliency-based Clustering Framework for Identifying Aberrant Predictions
Deep Learning Poster
Aina Tersol Montserrat, Alexander R. Loftus, Yael Daihes
Montserrat, A. T. et al., (2023). A Saliency-based Clustering Framework for Identifying Aberrant Predictions [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2023, New Orleans, Louisiana. https://doi.org/10.52591/lxai202312109
37 Behavioral Classification and Characterization of Autism Spectrum Disorder in Naturalistic Settings using Classical Machine Learning
Machine Learning for Science Poster
Elliot Huang, Lemuel Mojica Vazquez, Nicolas Echevarrieta-Catalan, Laura Vitale, Daniel S. Messinger, Vanessa Aguiar-Pulido
Aguiar-Pulido, V. et al., (2023). Behavioral Classification and Characterization of Autism Spectrum Disorder in Naturalistic Settings using Classical Machine Learning [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2023, New Orleans, Louisiana. https://doi.org/10.52591/lxai202312105
41 Task-Specific or Task-Agnostic? A Statistical Inquiry into BERT for Human Trafficking Risk Prediction
Applications Poster
Ana Paula Arguelles Terron, Jorge Yero Salazar, Pablo Rivas, Ernesto Quevedo Caballero, Alejandro Rodriguez Perez
Rivas, P. et al., (2023). Task-Specific or Task-Agnostic? A Statistical Inquiry into BERT for Human Trafficking Risk Prediction [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2023, New Orleans, Louisiana. https://doi.org/10.52591/lxai202312106
5 Delta Data Augmentation: Enhancing Adversarial Robustness with Adversarial Sampling
Optimization Poster
Iván Reyes-Amezcua, Jorge E Gonzalez Zapata, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
Reyes-Amezcua, I. et al., (2023). Delta Data Augmentation: Enhancing Adversarial Robustness with Adversarial Sampling [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2023, New Orleans, Louisiana.
12 Contrastive Predict-and-Search for Mixed Integer Linear Programs
Deep Learning Poster
Taoan Huang, Aaron Ferber, Arman Zharmagambetov, Yuandong Tian, Bistra Dilkina
Huang. T. et al., (2023). Contrastive Predict-and-Search for Mixed Integer Linear Programs [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2023, New Orleans, Louisiana.
16 Learning Abstract World Models for Value-preserving Planning with Options
Applications Poster
Rafael Rodriguez-Sanchez, George Konidaris
Rodriguez-Sanchez, R. et al., (2023). Learning Abstract World Models for Value-preserving Planning with Options [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2023, New Orleans, Louisiana.
18 Towards automatic identification of self-reported COVID-19 tweets: introducing a multilingual manually annotated dataset, baseline systems, and exploratory evaluations
Machine Learning for Science Poster
Ramya Tekumalla, Luis Alberto Robles Hernandez, Juan M Banda
Tekumalla. R. et al., (2023). Towards automatic identification of self-reported COVID-19 tweets: introducing a multilingual manually annotated dataset, baseline systems, and exploratory evaluations [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2023, New Orleans, Louisiana.
26 Evaluating zero-shot image classification based on visual language model with relation to background shift
Evaluation Poster
Flávio Arthur Oliveira Santos, Maynara Donato de Souza, Cleber Zanchettin
Oliveira Santos, F. A. et al., (2023). Evaluating zero-shot image classification based on visual language model with relation to background shift [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2023, New Orleans, Louisiana.
32 CNN Analysis of Tau Pathologies based on Post-mortem Immunofluorescence Imaging
Machine Learning for Science Poster
Liliana Diaz-Gomez, Jose A. Cantoral-Ceballos, Miguel A. Ontiveros-Torres, Andres E. Gutierrez-Rodriguez
Cantoral-Ceballos, J. A. et al., (2023). CNN Analysis of Tau Pathologies based on Post-mortem Immunofluorescence Imaging [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2023, New Orleans, Louisiana.
51 L1-Based Neural Gas Algorithms
Optimization Poster
Nico L. Cavalcanti Jr, Francisco de A. T. de Carvalho
Cavalcanti Jr, N. L. et al., (2023). L1-Based Neural Gas Algorithms [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2023, New Orleans, Louisiana.

Back to top

This publication site is an open sourced project maintained by LatinX in AI (LXAI).

To add or suggest edits to this site, visit our Github repository.

© LatinX in AI (LXAI) Org