Multilingual short text categorization using convolutional neural network. - Liriam Enamoto; Weigang Li 001 (ESANN, 2019)

Watershed of Artificial Intelligence: Human Intelligence, Machine Intelligence, and Biological Intelligence. - Weigang Li 001; Liriam Enamoto; Denise Leyi Li; Geraldo Pereira Rocha Filho (CoRR, 2021)

Generic framework for multilingual short text categorization using convolutional neural network. - Liriam Enamoto; Li Weigang 001; Geraldo P. Rocha Filho (Multim. Tools Appl., 2021)

Multi-label legal text classification with BiLSTM and attention. - Liriam Enamoto; Alan R. Santos; Ricardo Maia; Weigang Li 001; Geraldo P. Rocha Filho (Int. J. Comput. Appl. Technol., 2022)

New directions for artificial intelligence: human, machine, biological, and quantum intelligence. - Weigang Li 001; Liriam Enamoto; Denise Leyi Li; Geraldo Pereira Rocha Filho (Frontiers Inf. Technol. Electron. Eng., 2022)

Generic Multimodal Gradient-based Meta Learner Framework. - Liriam Enamoto; Weigang Li 001; Geraldo P. Rocha Filho; Paulo Costa 003 (FUSION, 2023)

Toward an emotion efficient architecture based on the sound spectrum from the voice of Portuguese speakers. - Geraldo P. Rocha Filho; Rodolfo I. Meneguette; Fábio Lúcio Lopes de Mendonça; Liriam Enamoto; Gustavo Pessin; Vinícius P. Gonçalves 001 (Neural Comput. Appl., 2024)

Empowering few-shot learning: a multimodal optimization framework. - Liriam Enamoto; Geraldo Pereira Rocha Filho; Weigang Li 001 (Neural Comput. Appl., 2025)