Lucas Silveira Kupssinskü

Continual Learning for Sequential Personalization of Small Language Models: A Stability Monitoring Analysis

Thomas da Silva Paula, Lucas S. Kupssinskü, Rodrigo C. Barros

Anatomical Mask Conditioning for Low-Dose CT Denoising: An Architecture-Aware Investigation

Kristen K. Arguello, Raíssa Contassot, Augusto Ochoa Ughini, Lucas S. Kupssinskü, Rodrigo C. Barros

The Role of Contextual Grounding in Geoscience Benchmarks

Arthur Fachel, Otávio Parraga, André Luiz Durante Spigolon, George de Barros, Luiz Gonzaga Jr, Maurício Roberto Veronez, Rodrigo C. Barros, Lucas S. Kupssinskü

FairMOP: Benchmarking Fairness-Utility Trade-offs in Text-to-Image Models via Pareto Frontiers

Marco N. Bochernitsan, Rodrigo C. Barros, Lucas S. Kupssinskü

Latent Fact-Checking: Detecting Misinformation through Activation Engineering

Pedro T. Barcelos, Otávio Parraga, Marcelo M. Delucis, Lucas M. Fraga, Lucas S. Kupssinskü, Rodrigo C. Barros

Diffused Embeddings: Exploring Sentence Representations from DLMs

Ramiro N. Barros, Vinicius Turani, Rodrigo C. Barros, Lucas S. Kupssinskü

Inference-Time Machine Unlearning via Gated Activation Redirection

Vinícius Conte Turani, Otávio Parraga, João Vitor Boer Abitante, Kristen K. Arguello, Joana Pasquali, Ramiro N. Barros, Flavio du Pin Calmon, Christian Mattjie, Rodrigo C. Barros, Lucas S. Kupssinskü

Low-Rank Adapters Initialization via Gradient Surgery for Continual Learning

Joana Pasquali, Ramiro N. Barros, Arthur S. Bianchessi, Vinícius Conte Turani, João Vitor Boer Abitante, Rafaela Cappelari Ravazio, Christian Mattjie, Otávio Parraga, Lucas S. Kupssinskü, Rodrigo C. Barros

Bayesian Attention Mechanism: A Probabilistic Framework for Positional Encoding and Context Length Extrapolation

Arthur S. Bianchessi, Yasmin C. Aguirre, Rodrigo C. Barros, Lucas S. Kupssinskü

Quantization-Robust LLM Unlearning via Low-Rank Adaptation

João Vitor Boer Abitante, Joana Meneguzzo Pasquali, Luan Fonseca Garcia, Ewerton de Oliveira, Thomas da Silva Paula, Rodrigo C. Barros, Lucas S. Kupssinskü

Automated Fact-Checking in Brazilian Portuguese: Resources and Baselines

Marcelo M. Delucis, Lucas Fraga, Otávio Parraga, Christian Mattjie, Rafaela Ravazio, Rodrigo C. Barros, Lucas S. Kupssinskü

Fairness in deep learning: A survey on vision and language research

Otavio Parraga, Martin D. More, Christian M. Oliveira, Nathan S. Gavenski, Lucas S. Kupssinskü, Adilson Medronha, Luis V. Moura, Gabriel S. Simões, Rodrigo C. Barros

Resolvendo problemas? Sem problemas! Uma análise de ferramentas gamificadas com pontuação e ranqueamento no ensino de programação

Igor Ferreira, Pedro P. Wagner, Lucas S. Kupssinskü, Milene S. Silveira

A Comparative Analysis of CNN Models and Vision Transformers for Skin Lesion Classification

Yasmin C. Aguirre, Ashiley Bianca S. de Oliveira, Rodrigo C. Barros, Lucas S. Kupssinskü

Detection of Expiration Dates in Product Images Using YOLO

Lucas Andreotti, Lucas M. Fraga, Rodrigo C. Barros, Lucas S. Kupssinskü

Evaluation of 3D Convolutional Neural Networks on Isolated Brazilian Sign Language Recognition

Lorenzo C. Lazzarotto, Marcelo M. Delucis, Pedro T. Barcelos, Rodrigo C. Barros, Lucas S. Kupssinskü

Comparing Speech Embeddings and Acoustic Features for Unsupervised Subtyping of Parkinson's Disease

Jerusa D. Finatto, Rafaela C. Ravazio, Christian Mattjie, Rodrigo C. Barros, Artur Schuh, Vanessa B. dos Santos, Maira R. Olchik, Lucas S. Kupssinskü

Subtyping Parkinson's Disease Via Probabilistic Neuroimaging Data Clustering

Christian Mattjie, Rafaela Ravazio, Joana Pasquali, Lucas S. Kupssinskü, Luís V. de Moura, Rodrigo C. Barros, Daniel Teixeira-dos-Santos, Gabriela M. Pereira, Artur Schuh, Álvaro O. Franco, Marco A.M. Schlindwein, Andrei Bieger, Marco Antônio de Bastiani, Eduardo Zimmer, Thomas H. Schlickmann, Lara A. Souza

Evaluating Odor Selectivity in α-Synucleinopathy: ML-Based Odor Profiling

Christian Mattjie, Rafaela Ravazio, Eleanor Mitchell, Jonathan Bestwick, Lucas Silveira Kupssinskü, Alastair Noyce, Artur Schumacher Schuh, Rodrigo C. Barros

Which is the Best LLM for Geosciences?

Vitor Hugo Garcez, Otávio Parraga, Ademir Marques, Andre L. Durante Spigolon, George De Barros, Luiz Gonzaga, Maurício Roberto Veronez, Rodrigo C. Barros, Lucas Silveira Kupssinskü

Inference Time Debiasing Concepts in Diffusion Models

Lucas S. Kupssinskü, Marco N. Bochernitsan, Jordan Kopper

Unlocking the potential of vision-language models for mammography analysis

Luís Vinícius de Moura, Rafaela Ravazio, Christian Mattjie, Lucas Silveira Kupssinskü, Carla Maria Dal Sasso Freitas, Rodrigo C. Barros

LERMO: a novel web game for AI-enhanced sign language recognition

Adilson Medronha, Luís Lima, Janaína Claudio, Lucas Kupssinskü, Rodrigo C. Barros

Semi-supervised learning for mRALE score prediction in COVID-19 chest radiographs

Christian Mattjie, Luis V. de Moura, Rafaela C. Ravazio, Otavio Parraga, Lucas S. Kupssinskü, Adilson Medronha, Ana M.M. da Silva, Rodrigo C. Barros

One against many: exploring multi-task learning generalization in source-code tasks

Otávio Parraga, Lucas S. Kupssinskü, Christian Mattjie, Rodrigo C. Barros

From Images to Insights: Subtyping Parkinson's Disease Using Unsupervised Learning on MRI Data

D. Teixeira-dos-Santos, A. de-Oliveira-Franco, A. Bieger, C. Mattjie, F. Suzuki, G. Magalhaes Pereira, J. Rossi Catao, L. Angi Souza, L. Silveira Kupssinskü, L. Vinicius Moura, M. Schlindwein, R. Ravazio, S. Duarte Pinto, T. Hugentobler Schlickmann, E.R. Zimmer, M.A. De Bastiani, R.C. Barros, A.F. Schumacher Schuh

Clinical and Neuroimaging Biomarker Predictors of Cognitive Dysfunction in Parkinson's Disease: A Study Using PPMI Data

M. Schlindwein, A. Franco, J. Catao, D. Teixeira-dos-Santos, A. Bieger, T. Hugentobler Schlickmann, L. Angi Souza, C. Mattjie, F. Suzuki, G. Magalhaes Pereira, L. Silveira Kupssinskü, L. Vinicius Moura, R. Ravazio, S. Duarte Pinto, M. Bastiani, R. Barros, E.R. Zimmer, A. Schuh

Zero-shot performance of the Segment Anything Model (SAM) in 2D medical imaging: A comprehensive evaluation and practical guidelines

Christian Mattjie, Luis Vinicius De Moura, Rafaela Ravazio, Lucas Kupssinsku, Otávio Parraga, Marcelo Mussi Delucis, Rodrigo C. Barros

An assisted multi-frame approach for super-resolution in hyperspectral images of rock samples

Daniel C. Zanotta, Ademir Marques Junior, João Gabriel Motta, Vinícius Sales, Tainá T. Guimarães, Lucas S. Kupssinsku, Graciela Racolte, Fabiane Bordin, Caroline L. Cazarin, Luiz Gonzaga Jr, Maurício R. Veronez

Radiomics for predicting oxygen necessity in COVID-19 patients using longitudinal lung computed tomography

Rafaela Ravazio, Christian Mattjie, Luis Vinicius De Moura, Lucas Kupssinskü, Rodrigo C. Barros, Denise Cantarelli Machado, Ana Maria Marques Da Silva

An empirical evaluation of machine learning techniques to classify code comprehension based on EEG data

Lucian Jose Goncales, Kleinner Farias, Lucas Silveira Kupssinskü, Matheus Segalotto

Hyperspectral data as a proxy for porosity estimation of carbonate rocks

L.S. Kupssinskü, T.T. Guimarães, M.d.B. Cardoso, L. Bachi, D. Zanotta, I. Estilon de Souza, A.X. Falcão, R.Q. Velloso, C.L. Cazarin, M.R. Veronez, L. Gonzaga Jr

A nondestructive alternative for kerogen type determination in potential hydrocarbon source rocks using hyperspectral data and machine learning

Tainá T. Guimarães, Lucas S. Kupssinskü, Milena B. Cardoso, Leonardo Bachi, Alysson S. Aires, Emilie C. Koste, André L.D. Spigolon, Luiz Gonzaga, Mauricio R. Veronez

The effects of applying filters on EEG signals for classifying developers' code comprehension

Lucian Jose Gonçales, Kleinner Farias, Lucas Kupssinskü, Matheus Segalotto

Mosis Lab Hyperspectral – Visualization and correlation of hyperspectral data on immersive virtual reality

Tainá Thomassim Guimarães, Diego Henrique Diemmer Mariani, Lucas Silveira Kupssinskü, Pedro Rossa, Rafael Kenji Horota, Rafael De Freitas, Luiz Roupinha, Branda Eloá Weppo, Aline Weschenfelder, André Luiz Durante Spigolon, Luiz Gonzaga, Maurício Roberto Veronez

Kerogen type classification in hydrocarbon source rocks using hyperspectral data and machine learning

Tainá Thomassim Guimarães, Lucas Silveira Kupssinskü, Daniel Capella Zanotta, João Gabriel Motta, André Luiz Durante Spigolon, Luiz Gonzaga, Maurício Roberto Veronez

Vizspectraldata: A web-based application for hyperspectral data visualization

Lucas Silveira Kupssinskü, Tainá Thomassim Guimarães, Caroline Lessio Cazarin, Luiz Gonzaga, Maurício Roberto Veronez

A Multi-Looking Approach for Spatial Super-Resolution on Laboratory-Based Hyperspectral Images

Daniel Capella Zanotta, Ademir Marques Júnior, Alysson Soares Aires, Fabiane Bordin, Graciela Racolte, João Gabriel Motta, Lucas Kupssinskü, Marianne Muller, Rafael Kenji Horota, Tainá Thomassin Guimarães, Vinícius Sales, Caroline Lessio Cazarin, Luiz Gonzaga, Maurício Roberto Veronez

Parthenos: A source code injection approach for software transformation

Gabriel Lopes Nunes, Kleinner Farias, Lucas Silveira Kupssinski

From the Cloud to the Digital Outcrop Model: Lithostratigraphic Interpretation in Mosis Suite

Lucas Silveira Kupssinskü, Milena de Barcelos Cardoso, Demétrius Nunes Alves, Rafael de Freitas, Gabriel Adamski, Wendel Blank Jeske, Tainá Thomassim Guimarães, André Luiz Durante Spigolon, Luiz Gonzaga Jr, Mauricio Roberto Veronez

Evaluation of machine learning techniques to classify code comprehension based on developers' EEG data

Lucian José Gonçales, Kleinner Farias, Lucas Silveira Kupssinskü, Matheus Segalotto

A method for chlorophyll-a and suspended solids prediction through remote sensing and machine learning

Lucas Silveira Kupssinskü, Tainá Thomassim Guimarães, Eniuce Menezes de Souza, Daniel C. Zanotta, Mauricio Roberto Veronez, Luiz Gonzaga Jr, Frederico Fabio Mauad

Virtual and digital outcrops in the petroleum industry: A systematic review

Ademir Marques Jr, Rafael Kenji Horota, Eniuce Menezes de Souza, Lucas Kupssinskü, Pedro Rossa, Alysson Soares Aires, Leonardo Bachi, Mauricio Roberto Veronez, Luiz Gonzaga Jr, Caroline Lessio Cazarin

Improving spatial resolution of multispectral rock outcrop images using RGB data and artificial neural networks

Ademir Marques Junior, Eniuce Menezes De Souza, Marianne Müller, Diego Brum, Daniel Capella Zanotta, Rafael Kenji Horota, Lucas Silveira Kupssinskü, Maurício Roberto Veronez, Luiz Gonzaga Jr, Caroline Lessio Cazarin

How much wavelet decomposition can improve the detection of surface fractures in remote sensing images?

Eniuce Menezes De Souza, Ademir Marques, Rafael K. Horota, Lucas Kupssinsku, Pedro Rossa, Alysson S. Aires, Luiz Gonzaga Silveira, Maurício R. Veronez, Carol L. Cazarin

Prediction of chlorophyll-a and suspended solids through remote sensing and artificial neural networks

Lucas Silveira Kupssinskü, Tainá Thomassim Guimarães, Rafael de Freitas, Eniuce Menezes De Souza, Pedro Rossa, Ademir Marques, Maurício Roberto Veronez, Luiz Gonzaga, Caroline Lessio Cazarin, Frederico Fábio Mauad

Imspector: Immersive system of inspection of bridges/viaducts

Mauricio Roberto Veronez, Luiz Gonzaga, Fabiane Bordin, Leonardo Campos Inocencio, Graciela Eliane dos Reis Racolte, Lucas Silveira Kupssinskü, Pedro Rossa, Leonardo Scalco

VROffice: Interactive and immersive 3D visualization, manipulation and correlation of multivariable georeferenced datasets in virtual reality

Pedro Rossa, Rafael Kenji Horota, Alysson Soares Aires, Lucas Silveira Kupssinskü, Carolina Jung Kremer, Eniuce Menezes de Souza, Ademir Marques Jr, Luiz Gonzaga Jr, Mauricio Roberto Veronez, Caroline Lessio Cazarin

Improving spatial resolution of LANDSAT spectral bands from a single RGB image using artificial neural network

Ademir Marques, Pedro Rossa, Rafael Kenji Horota, Diego Brum, Eniuce Menezes De Souza, Alyson Soares Aires, Lucas Kupssinskü, Maurício Roberto Veronez, Luis Gonzaga, Caroline Lessio Cazarin

Hermes: A Natural Language Interface Model for Software Transformation

Michael William Chagas, Kleinner Farias, Lucian Gonçales, Lucas Kupssinskü, João Carlos Gluz

Hermes: Um Modelo de Interface de Linguagem Natural para Transformação em Software

Michael William Chagas, Kleinner Farias, Lucian Gonçales, Lucas Kupssinskü, João Carlos Gluz

Modelagem e Simulação de uma Equipe de Desenvolvimento Scrum

Lucas Silveira Kupssinskü, Gustavo Souza, José Ernesto da Silva Barbosa

Proposal of a method to determine the correlation between total suspended solids and dissolved organic matter in water bodies from spectral imaging and artificial neural networks

Maurício R. Veronez, Lucas S. Kupssinskü, Tainá T. Guimarães, Emilie C. Koste, Juarez M. Da Silva, Laís V. De Souza, William F.M. Oliverio, Rogélio S. Jardim, Ismael É. Koch, Jonas G. De Souza, Luiz Gonzaga Jr, Frederico F. Mauad, Leonardo C. Inocencio, Fabiane Bordin

RIDERS: Road inspection & driver simulation

Mauricio R. Veronez, Luiz Gonzaga, Fabiane Bordin, Lucas Kupssinsku, Gabriel Lanzer Kannenberg, Tiago Duarte, Leonardo G. Santana, Lean Luca de Fraga, Demétrius Nunes Alves, Fernando Pinho Marson

MITRAS Intelligent Model for Software Transformation

Lucas Silveira Kupssinskü, João Carlos Gluz

Artificial neural network–based method to classify sedimentary rocks

Rodrigo Marques Figueiredo, Maurício Roberto Veronez, Francisco Manoel Wohnrath, Márcio Rosa da Silva, Luiz Gonzaga, Lucas Silveira Kupssinskü, Fabiane Bordin, Diego Brum, Caroline Lessio Cazarin

Fairness in deep learning: A survey on vision and language research

Otavio Parraga, Martin D. More, Christian M. Oliveira, Nathan S. Gavenski, Lucas S. Kupssinskü, Adilson Medronha, Luis V. Moura, Gabriel S. Simões, Rodrigo C. Barros

From Images to Insights: Subtyping Parkinson's Disease Using Unsupervised Learning on MRI Data

D. Teixeira-dos-Santos, A. de-Oliveira-Franco, A. Bieger, C. Mattjie, F. Suzuki, G. Magalhaes Pereira, J. Rossi Catao, L. Angi Souza, L. Silveira Kupssinskü, L. Vinicius Moura, M. Schlindwein, R. Ravazio, S. Duarte Pinto, T. Hugentobler Schlickmann, E.R. Zimmer, M.A. De Bastiani, R.C. Barros, A.F. Schumacher Schuh

Clinical and Neuroimaging Biomarker Predictors of Cognitive Dysfunction in Parkinson's Disease: A Study Using PPMI Data

M. Schlindwein, A. Franco, J. Catao, D. Teixeira-dos-Santos, A. Bieger, T. Hugentobler Schlickmann, L. Angi Souza, C. Mattjie, F. Suzuki, G. Magalhaes Pereira, L. Silveira Kupssinskü, L. Vinicius Moura, R. Ravazio, S. Duarte Pinto, M. Bastiani, R. Barros, E.R. Zimmer, A. Schuh

An assisted multi-frame approach for super-resolution in hyperspectral images of rock samples

Daniel C. Zanotta, Ademir Marques Junior, João Gabriel Motta, Vinícius Sales, Tainá T. Guimarães, Lucas S. Kupssinsku, Graciela Racolte, Fabiane Bordin, Caroline L. Cazarin, Luiz Gonzaga Jr, Maurício R. Veronez

An empirical evaluation of machine learning techniques to classify code comprehension based on EEG data

Lucian Jose Goncales, Kleinner Farias, Lucas Silveira Kupssinskü, Matheus Segalotto

Hyperspectral data as a proxy for porosity estimation of carbonate rocks

L.S. Kupssinskü, T.T. Guimarães, M.d.B. Cardoso, L. Bachi, D. Zanotta, I. Estilon de Souza, A.X. Falcão, R.Q. Velloso, C.L. Cazarin, M.R. Veronez, L. Gonzaga Jr

A nondestructive alternative for kerogen type determination in potential hydrocarbon source rocks using hyperspectral data and machine learning

Tainá T. Guimarães, Lucas S. Kupssinskü, Milena B. Cardoso, Leonardo Bachi, Alysson S. Aires, Emilie C. Koste, André L.D. Spigolon, Luiz Gonzaga, Mauricio R. Veronez

The effects of applying filters on EEG signals for classifying developers' code comprehension

Lucian Jose Gonçales, Kleinner Farias, Lucas Kupssinskü, Matheus Segalotto

A method for chlorophyll-a and suspended solids prediction through remote sensing and machine learning

Lucas Silveira Kupssinskü, Tainá Thomassim Guimarães, Eniuce Menezes de Souza, Daniel C. Zanotta, Mauricio Roberto Veronez, Luiz Gonzaga Jr, Frederico Fabio Mauad

Virtual and digital outcrops in the petroleum industry: A systematic review

Ademir Marques Jr, Rafael Kenji Horota, Eniuce Menezes de Souza, Lucas Kupssinskü, Pedro Rossa, Alysson Soares Aires, Leonardo Bachi, Mauricio Roberto Veronez, Luiz Gonzaga Jr, Caroline Lessio Cazarin

Improving spatial resolution of multispectral rock outcrop images using RGB data and artificial neural networks

Ademir Marques Junior, Eniuce Menezes De Souza, Marianne Müller, Diego Brum, Daniel Capella Zanotta, Rafael Kenji Horota, Lucas Silveira Kupssinskü, Maurício Roberto Veronez, Luiz Gonzaga Jr, Caroline Lessio Cazarin

Proposal of a method to determine the correlation between total suspended solids and dissolved organic matter in water bodies from spectral imaging and artificial neural networks

Maurício R. Veronez, Lucas S. Kupssinskü, Tainá T. Guimarães, Emilie C. Koste, Juarez M. Da Silva, Laís V. De Souza, William F.M. Oliverio, Rogélio S. Jardim, Ismael É. Koch, Jonas G. De Souza, Luiz Gonzaga Jr, Frederico F. Mauad, Leonardo C. Inocencio, Fabiane Bordin

Continual Learning for Sequential Personalization of Small Language Models: A Stability Monitoring Analysis

Thomas da Silva Paula, Lucas S. Kupssinskü, Rodrigo C. Barros

Anatomical Mask Conditioning for Low-Dose CT Denoising: An Architecture-Aware Investigation

Kristen K. Arguello, Raíssa Contassot, Augusto Ochoa Ughini, Lucas S. Kupssinskü, Rodrigo C. Barros

The Role of Contextual Grounding in Geoscience Benchmarks

Arthur Fachel, Otávio Parraga, André Luiz Durante Spigolon, George de Barros, Luiz Gonzaga Jr, Maurício Roberto Veronez, Rodrigo C. Barros, Lucas S. Kupssinskü

FairMOP: Benchmarking Fairness-Utility Trade-offs in Text-to-Image Models via Pareto Frontiers

Marco N. Bochernitsan, Rodrigo C. Barros, Lucas S. Kupssinskü

Latent Fact-Checking: Detecting Misinformation through Activation Engineering

Pedro T. Barcelos, Otávio Parraga, Marcelo M. Delucis, Lucas M. Fraga, Lucas S. Kupssinskü, Rodrigo C. Barros

Diffused Embeddings: Exploring Sentence Representations from DLMs

Ramiro N. Barros, Vinicius Turani, Rodrigo C. Barros, Lucas S. Kupssinskü

Bayesian Attention Mechanism: A Probabilistic Framework for Positional Encoding and Context Length Extrapolation

Arthur S. Bianchessi, Yasmin C. Aguirre, Rodrigo C. Barros, Lucas S. Kupssinskü

Automated Fact-Checking in Brazilian Portuguese: Resources and Baselines

Marcelo M. Delucis, Lucas Fraga, Otávio Parraga, Christian Mattjie, Rafaela Ravazio, Rodrigo C. Barros, Lucas S. Kupssinskü

Resolvendo problemas? Sem problemas! Uma análise de ferramentas gamificadas com pontuação e ranqueamento no ensino de programação

Igor Ferreira, Pedro P. Wagner, Lucas S. Kupssinskü, Milene S. Silveira

Comparing Speech Embeddings and Acoustic Features for Unsupervised Subtyping of Parkinson's Disease

Jerusa D. Finatto, Rafaela C. Ravazio, Christian Mattjie, Rodrigo C. Barros, Artur Schuh, Vanessa B. dos Santos, Maira R. Olchik, Lucas S. Kupssinskü

Subtyping Parkinson's Disease Via Probabilistic Neuroimaging Data Clustering

Christian Mattjie, Rafaela Ravazio, Joana Pasquali, Lucas S. Kupssinskü, Luís V. de Moura, Rodrigo C. Barros, Daniel Teixeira-dos-Santos, Gabriela M. Pereira, Artur Schuh, Álvaro O. Franco, Marco A.M. Schlindwein, Andrei Bieger, Marco Antônio de Bastiani, Eduardo Zimmer, Thomas H. Schlickmann, Lara A. Souza

Evaluating Odor Selectivity in α-Synucleinopathy: ML-Based Odor Profiling

Christian Mattjie, Rafaela Ravazio, Eleanor Mitchell, Jonathan Bestwick, Lucas Silveira Kupssinskü, Alastair Noyce, Artur Schumacher Schuh, Rodrigo C. Barros

Which is the Best LLM for Geosciences?

Vitor Hugo Garcez, Otávio Parraga, Ademir Marques, Andre L. Durante Spigolon, George De Barros, Luiz Gonzaga, Maurício Roberto Veronez, Rodrigo C. Barros, Lucas Silveira Kupssinskü

Inference Time Debiasing Concepts in Diffusion Models

Lucas S. Kupssinskü, Marco N. Bochernitsan, Jordan Kopper

Unlocking the potential of vision-language models for mammography analysis

Luís Vinícius de Moura, Rafaela Ravazio, Christian Mattjie, Lucas Silveira Kupssinskü, Carla Maria Dal Sasso Freitas, Rodrigo C. Barros

LERMO: a novel web game for AI-enhanced sign language recognition

Adilson Medronha, Luís Lima, Janaína Claudio, Lucas Kupssinskü, Rodrigo C. Barros

Semi-supervised learning for mRALE score prediction in COVID-19 chest radiographs

Christian Mattjie, Luis V. de Moura, Rafaela C. Ravazio, Otavio Parraga, Lucas S. Kupssinskü, Adilson Medronha, Ana M.M. da Silva, Rodrigo C. Barros

One against many: exploring multi-task learning generalization in source-code tasks

Otávio Parraga, Lucas S. Kupssinskü, Christian Mattjie, Rodrigo C. Barros

Zero-shot performance of the Segment Anything Model (SAM) in 2D medical imaging: A comprehensive evaluation and practical guidelines

Christian Mattjie, Luis Vinicius De Moura, Rafaela Ravazio, Lucas Kupssinsku, Otávio Parraga, Marcelo Mussi Delucis, Rodrigo C. Barros

Radiomics for predicting oxygen necessity in COVID-19 patients using longitudinal lung computed tomography

Rafaela Ravazio, Christian Mattjie, Luis Vinicius De Moura, Lucas Kupssinskü, Rodrigo C. Barros, Denise Cantarelli Machado, Ana Maria Marques Da Silva

Mosis Lab Hyperspectral – Visualization and correlation of hyperspectral data on immersive virtual reality

Tainá Thomassim Guimarães, Diego Henrique Diemmer Mariani, Lucas Silveira Kupssinskü, Pedro Rossa, Rafael Kenji Horota, Rafael De Freitas, Luiz Roupinha, Branda Eloá Weppo, Aline Weschenfelder, André Luiz Durante Spigolon, Luiz Gonzaga, Maurício Roberto Veronez

Kerogen type classification in hydrocarbon source rocks using hyperspectral data and machine learning

Tainá Thomassim Guimarães, Lucas Silveira Kupssinskü, Daniel Capella Zanotta, João Gabriel Motta, André Luiz Durante Spigolon, Luiz Gonzaga, Maurício Roberto Veronez

Vizspectraldata: A web-based application for hyperspectral data visualization

Lucas Silveira Kupssinskü, Tainá Thomassim Guimarães, Caroline Lessio Cazarin, Luiz Gonzaga, Maurício Roberto Veronez

A Multi-Looking Approach for Spatial Super-Resolution on Laboratory-Based Hyperspectral Images

Daniel Capella Zanotta, Ademir Marques Júnior, Alysson Soares Aires, Fabiane Bordin, Graciela Racolte, João Gabriel Motta, Lucas Kupssinskü, Marianne Muller, Rafael Kenji Horota, Tainá Thomassin Guimarães, Vinícius Sales, Caroline Lessio Cazarin, Luiz Gonzaga, Maurício Roberto Veronez

From the Cloud to the Digital Outcrop Model: Lithostratigraphic Interpretation in Mosis Suite

Lucas Silveira Kupssinskü, Milena de Barcelos Cardoso, Demétrius Nunes Alves, Rafael de Freitas, Gabriel Adamski, Wendel Blank Jeske, Tainá Thomassim Guimarães, André Luiz Durante Spigolon, Luiz Gonzaga Jr, Mauricio Roberto Veronez

Evaluation of machine learning techniques to classify code comprehension based on developers' EEG data

Lucian José Gonçales, Kleinner Farias, Lucas Silveira Kupssinskü, Matheus Segalotto

How much wavelet decomposition can improve the detection of surface fractures in remote sensing images?

Eniuce Menezes De Souza, Ademir Marques, Rafael K. Horota, Lucas Kupssinsku, Pedro Rossa, Alysson S. Aires, Luiz Gonzaga Silveira, Maurício R. Veronez, Carol L. Cazarin

Prediction of chlorophyll-a and suspended solids through remote sensing and artificial neural networks

Lucas Silveira Kupssinskü, Tainá Thomassim Guimarães, Rafael de Freitas, Eniuce Menezes De Souza, Pedro Rossa, Ademir Marques, Maurício Roberto Veronez, Luiz Gonzaga, Caroline Lessio Cazarin, Frederico Fábio Mauad

Imspector: Immersive system of inspection of bridges/viaducts

Mauricio Roberto Veronez, Luiz Gonzaga, Fabiane Bordin, Leonardo Campos Inocencio, Graciela Eliane dos Reis Racolte, Lucas Silveira Kupssinskü, Pedro Rossa, Leonardo Scalco

VROffice: Interactive and immersive 3D visualization, manipulation and correlation of multivariable georeferenced datasets in virtual reality

Pedro Rossa, Rafael Kenji Horota, Alysson Soares Aires, Lucas Silveira Kupssinskü, Carolina Jung Kremer, Eniuce Menezes de Souza, Ademir Marques Jr, Luiz Gonzaga Jr, Mauricio Roberto Veronez, Caroline Lessio Cazarin

Improving spatial resolution of LANDSAT spectral bands from a single RGB image using artificial neural network

Ademir Marques, Pedro Rossa, Rafael Kenji Horota, Diego Brum, Eniuce Menezes De Souza, Alyson Soares Aires, Lucas Kupssinskü, Maurício Roberto Veronez, Luis Gonzaga, Caroline Lessio Cazarin

Hermes: A Natural Language Interface Model for Software Transformation

Michael William Chagas, Kleinner Farias, Lucian Gonçales, Lucas Kupssinskü, João Carlos Gluz

Hermes: Um Modelo de Interface de Linguagem Natural para Transformação em Software

Michael William Chagas, Kleinner Farias, Lucian Gonçales, Lucas Kupssinskü, João Carlos Gluz

Modelagem e Simulação de uma Equipe de Desenvolvimento Scrum

Lucas Silveira Kupssinskü, Gustavo Souza, José Ernesto da Silva Barbosa

RIDERS: Road inspection & driver simulation

Mauricio R. Veronez, Luiz Gonzaga, Fabiane Bordin, Lucas Kupssinsku, Gabriel Lanzer Kannenberg, Tiago Duarte, Leonardo G. Santana, Lean Luca de Fraga, Demétrius Nunes Alves, Fernando Pinho Marson

MITRAS Intelligent Model for Software Transformation

Lucas Silveira Kupssinskü, João Carlos Gluz

Artificial neural network–based method to classify sedimentary rocks

Rodrigo Marques Figueiredo, Maurício Roberto Veronez, Francisco Manoel Wohnrath, Márcio Rosa da Silva, Luiz Gonzaga, Lucas Silveira Kupssinskü, Fabiane Bordin, Diego Brum, Caroline Lessio Cazarin

A Comparative Analysis of CNN Models and Vision Transformers for Skin Lesion Classification

Yasmin C. Aguirre, Ashiley Bianca S. de Oliveira, Rodrigo C. Barros, Lucas S. Kupssinskü

Detection of Expiration Dates in Product Images Using YOLO

Lucas Andreotti, Lucas M. Fraga, Rodrigo C. Barros, Lucas S. Kupssinskü

Evaluation of 3D Convolutional Neural Networks on Isolated Brazilian Sign Language Recognition

Lorenzo C. Lazzarotto, Marcelo M. Delucis, Pedro T. Barcelos, Rodrigo C. Barros, Lucas S. Kupssinskü

Inference-Time Machine Unlearning via Gated Activation Redirection

Vinícius Conte Turani, Otávio Parraga, João Vitor Boer Abitante, Kristen K. Arguello, Joana Pasquali, Ramiro N. Barros, Flavio du Pin Calmon, Christian Mattjie, Rodrigo C. Barros, Lucas S. Kupssinskü

Low-Rank Adapters Initialization via Gradient Surgery for Continual Learning

Joana Pasquali, Ramiro N. Barros, Arthur S. Bianchessi, Vinícius Conte Turani, João Vitor Boer Abitante, Rafaela Cappelari Ravazio, Christian Mattjie, Otávio Parraga, Lucas S. Kupssinskü, Rodrigo C. Barros

Quantization-Robust LLM Unlearning via Low-Rank Adaptation

João Vitor Boer Abitante, Joana Meneguzzo Pasquali, Luan Fonseca Garcia, Ewerton de Oliveira, Thomas da Silva Paula, Rodrigo C. Barros, Lucas S. Kupssinskü

Parthenos: A source code injection approach for software transformation

Gabriel Lopes Nunes, Kleinner Farias, Lucas Silveira Kupssinski