Exploring Multilingual Syntactic Sentence Representations. - Chen Liu; Anderson de Andrade; Muhammad Osama 004 (W-NUT@EMNLP, 2019)

DENS: A Dataset for Multi-class Emotion Analysis. - Chen Liu; Muhammad Osama 004; Anderson de Andrade (EMNLP/IJCNLP (1), 2019)

A Comparison of Neural Network Training Methods for Text Classification. - Anderson de Andrade (CoRR, 2019)

Best Practices for Convolutional Neural Networks Applied to Object Recognition in Images. - Anderson de Andrade (CoRR, 2019)

Graph Representation Learning Network via Adaptive Sampling. - Anderson de Andrade; Chen Liu (CoRR, 2020)

An Architecture for Accelerated Large-Scale Inference of Transformer-Based Language Models. - Amir Ganiev; Colton Chapin; Anderson de Andrade; Chen Liu (NAACL-HLT (Industry Papers), 2021)

Rate-Distortion in Image Coding for Machines. - Alon Harell; Anderson de Andrade; Ivan V. Bajic (PCS, 2022)

Base Layer Efficiency in Scalable Human-Machine Coding. - Yalda Foroutan; Alon Harell; Anderson de Andrade; Ivan V. Bajic (ICIP, 2023)

Conditional and Residual Methods in Scalable Coding for Humans and Machines. - Anderson de Andrade; Alon Harell; Yalda Foroutan; Ivan V. Bajic (ICME Workshops, 2023)

Rate-Distortion Theory in Coding for Machines and its Application. - Alon Harell; Yalda Foroutan; Nilesh A. Ahuja; Parual Datta; Bhavya Kanzariya; V. Srinivasa Somayazulu; Omesh Tickoo; Anderson de Andrade; Ivan V. Bajic (CoRR, 2023)

Towards Task-Compatible Compressible Representations. - Anderson de Andrade; Ivan V. Bajic (ICME Workshops, 2024)

Mutual Information Bounds for Lossy Common Information. - Anderson de Andrade (CoRR, 2025)

Rate-Distortion Theory in Coding for Machines and Its Applications. - Alon Harell; Yalda Foroutan; Nilesh A. Ahuja; Parual Datta; Bhavya Kanzariya; V. Srinivasa Somayazulu; Omesh Tickoo; Anderson de Andrade; Ivan V. Bajic (IEEE Trans. Pattern Anal. Mach. Intell., 2025)