Roberto de Alencar Lotufo

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 77

Top Venues

Publications

Jayr Pereira, Andre Assumpcao, Julio Trecenti, Luiz Airosa, Caio Lente, Jhonatan Cléto, Guilherme Dobins, Rodrigo Nogueira, Luis Mitchell, Roberto de Alencar Lotufo
INACIA: Integrating Large Language Models in Brazilian Audit Courts: Opportunities and Challenges. CoRR (2024)
Thiago Laitz, Konstantinos Papakostas, Roberto de Alencar Lotufo, Rodrigo Nogueira
InRanker: Distilled Rankers for Zero-shot Information Retrieval. CoRR (2024)
Fernando Ferraretto, Thiago Laitz, Roberto de Alencar Lotufo, Rodrigo Nogueira
ExaRanker-Open: Synthetic Explanation for IR using Open-Source LLMs. CoRR (2024)
Mirelle Bueno, Roberto de Alencar Lotufo, Rodrigo Nogueira
Lissard: Long and Simple Sequential Reasoning Datasets. CoRR (2024)
Hugo Abonizio, Luiz Henrique Bonifacio, Vitor Jeronymo, Roberto de Alencar Lotufo, Jakub Zavrel, Rodrigo Frassetto Nogueira
InPars Toolkit: A Unified and Reproducible Synthetic Data Generation Pipeline for Neural Information Retrieval. CoRR (2023)
Fernando Ferraretto, Thiago Laitz, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira
ExaRanker: Synthetic Explanations Improve Neural Rankers. SIGIR (2023)
Diedre S. Carmo, Rosarie A. Tudas, Alejandro P. Comellas, Letícia Rittner, Roberto de Alencar Lotufo, Joseph M. Reinhardt, Sarah E. Gerard
Automatic segmentation of lung findings in CT and application to Long COVID. CoRR (2023)
Jayr Alencar Pereira, Robson do Nascimento Fidalgo, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira
Visconde: Multi-document QA with GPT-3 and Neural Reranking. ECIR (2) (2023)
Orlem Lima dos Santos, Karen Rosero, Roberto de Alencar Lotufo
w2v-SELD: A Sound Event Localization and Detection Framework for Self-Supervised Spatial Audio Pre-Training. CoRR (2023)
Diedre S. Carmo, Jean Ribeiro, Alejandro P. Comellas, Joseph M. Reinhardt, Sarah E. Gerard, Letícia Rittner, Roberto de Alencar Lotufo
MEDPSeg: End-to-end segmentation of pulmonary structures and lesions in computed tomography. CoRR (2023)
Vitor Jeronymo, Luiz Henrique Bonifacio, Hugo Abonizio, Marzieh Fadaee, Roberto de Alencar Lotufo, Jakub Zavrel, Rodrigo Nogueira
InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval. CoRR (2023)
Desnes Nunes, Ricardo Primi, Ramon Pires, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira
Evaluating GPT-3.5 and GPT-4 Models on Brazilian University Admission Exams. CoRR (2023)
Vitor Jeronymo, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira
NeuralMind-UNICAMP at 2022 TREC NeuCLIR: Large Boring Rerankers for Cross-lingual Retrieval. CoRR (2023)
Diedre Carmo, Gustavo R. Pinheiro, Lívia Rodrigues, Thays Abreu, Roberto de Alencar Lotufo, Letícia Rittner
Automated computed tomography and magnetic resonance imaging segmentation using deep learning: a beginner's guide. CoRR (2023)
Fernando Ferraretto, Thiago Laitz, Roberto de Alencar Lotufo, Rodrigo Nogueira
ExaRanker: Explanation-Augmented Neural Ranker. CoRR (2023)
Vitor Jeronymo, Mauricio Nascimento, Roberto de Alencar Lotufo, Rodrigo Nogueira
mRobust04: A Multilingual Version of the TREC Robust 2004 Benchmark. CoRR (2022)
Hugo Abonizio, Leandro Rodrigues de Souza, Roberto de Alencar Lotufo, Rodrigo Nogueira
MonoByte: A Pool of Monolingual Byte-level Language Models. COLING (2022)
Thales Sales Almeida, Thiago Laitz, João Seródio, Luiz Henrique Bonifacio, Roberto de Alencar Lotufo, Rodrigo Nogueira
NeuralSearchX: Serving a Multi-billion-parameter Reranker for Multilingual Metasearch at a Low Cost. CoRR (2022)
Diedre Carmo, Letícia Rittner, Roberto de Alencar Lotufo
Open-source tool for Airway Segmentation in Computed Tomography using 2.5D Modified EfficientDet: Contribution to the ATM22 Challenge. CoRR (2022)
Guilherme Rosa, Luiz Henrique Bonifacio, Vitor Jeronymo, Hugo Abonizio, Marzieh Fadaee, Roberto de Alencar Lotufo, Rodrigo Nogueira
In Defense of Cross-Encoders for Zero-Shot Retrieval. CoRR (2022)
Israel Campiotti, Roberto de Alencar Lotufo
Optical character recognition with transformers and CTC. DocEng (2022)
Thales Sales Almeida, Thiago Laitz, João Seródio, Luiz Henrique Bonifacio, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira
NeuralSearchX: Serving a Multi-billion-parameter Reranker for Multilingual Metasearch at a Low Cost. DESIRES (2022)
Hugo Abonizio, Leandro Rodrigues de Souza, Roberto de Alencar Lotufo, Rodrigo Nogueira
MonoByte: A Pool of Monolingual Byte-level Language Models. CoRR (2022)
Guilherme Moraes Rosa, Luiz Henrique Bonifacio, Vitor Jeronymo, Hugo Abonizio, Roberto de Alencar Lotufo, Rodrigo Nogueira
Billions of Parameters Are Worth More Than In-domain Training Data: A case study in the Legal Case Entailment Task. CoRR (2022)
Vitor Jeronymo, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira
NeuralMind-UNICAMP at 2022 TREC NeuCLIR: Large Boring Rerankers for Cross-lingual Retrieval. TREC (2022)
Mirelle Bueno, Carlos Gemmel, Jeffrey Dalton, Roberto de Alencar Lotufo, Rodrigo Nogueira
Induced Natural Language Rationales and Interleaved Markup Tokens Enable Extrapolation in Large Language Models. CoRR (2022)
Vitor Jeronymo, Guilherme Moraes Rosa, Surya Kallumadi, Roberto de Alencar Lotufo, Rodrigo Nogueira
A Boring-yet-effective Approach for the Product Ranking Task of the Amazon KDD Cup 2022. CoRR (2022)
Jayr Alencar Pereira, Robson Fidalgo, Roberto de Alencar Lotufo, Rodrigo Nogueira
Visconde: Multi-document QA with GPT-3 and Neural Reranking. CoRR (2022)
Guilherme Moraes Rosa, Luiz Henrique Bonifacio, Vitor Jeronymo, Hugo Abonizio, Marzieh Fadaee, Roberto de Alencar Lotufo, Rodrigo Nogueira
No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval. CoRR (2022)
Jayr Alencar Pereira, Robson do Nascimento Fidalgo, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira
Using Neural Reranking and GPT-3 for Social Media Disaster Content Summarization. TREC (2022)
Ramon Pires, Fábio C. de Souza, Guilherme Moraes Rosa, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira
Sequence-to-Sequence Models for Extracting Information from Registration and Legal Documents. DAS (2022)
Ramon Pires, Fábio C. de Souza, Guilherme Moraes Rosa, Roberto de Alencar Lotufo, Rodrigo Nogueira
Sequence-to-Sequence Models for Extracting Information from Registration and Legal Documents. CoRR (2022)
Guilherme Moraes Rosa, Ruan Chaves Rodrigues, Roberto de Alencar Lotufo, Rodrigo Nogueira
To Tune or Not To Tune? Zero-shot Models for Legal Case Entailment. CoRR (2022)
Guilherme Moraes Rosa, Ruan Chaves Rodrigues, Roberto de Alencar Lotufo, Rodrigo Nogueira
Yes, BM25 is a Strong Baseline for Legal Case Retrieval. CoRR (2021)
Guilherme Moraes Rosa, Luiz Henrique Bonifacio, Leandro Rodrigues de Souza, Roberto de Alencar Lotufo, Rodrigo Nogueira
A cost-benefit analysis of cross-lingual transfer methods. CoRR (2021)
Guilherme Moraes Rosa, Ruan Chaves Rodrigues, Roberto de Alencar Lotufo, Rodrigo Nogueira
To tune or not to tune?: zero-shot models for legal case entailment. ICAIL (2021)
Leandro Rodrigues de Souza, Rodrigo Nogueira, Roberto de Alencar Lotufo
On the ability of monolingual models to learn language-agnostic representations. CoRR (2021)
Irene Fantini, Clarissa L. Yasuda, Mariana P. Bento, Letícia Rittner, Fernando Cendes, Roberto de Alencar Lotufo
Automatic MR image quality evaluation using a Deep CNN: A reference-free method to rate motion artifacts in neuroimaging. Comput. Medical Imaging Graph. 90 (2021)
Luiz Henrique Bonifacio, Israel Campiotti, Roberto de Alencar Lotufo, Rodrigo Nogueira
mMARCO: A Multilingual Version of MS MARCO Passage Ranking Dataset. CoRR (2021)
Diedre Carmo, Letícia Rittner, Roberto de Alencar Lotufo
MultiATTUNet: Brain Tumor Segmentation and Survival Multitasking. BrainLes@MICCAI (1) (2020)
Paulo Finardi, Israel Campiotti, Gustavo Plensack, Rafael Derradi de Souza, Rodrigo Nogueira, Gustavo R. Pinheiro, Roberto de Alencar Lotufo
Electricity Theft Detection with self-attention. CoRR (2020)
Gabriela Surita, Rodrigo Nogueira, Roberto de Alencar Lotufo
Can questions summarize a corpus? Using question generation for characterizing COVID-19 research. CoRR (2020)
Diedre Carmo, Marcos Piau, Israel Campiotti, Rodrigo Nogueira, Roberto de Alencar Lotufo
PTT5: Pretraining and validating the T5 model on Brazilian Portuguese data. CoRR (2020)
Alexandre Lopes, Rodrigo Nogueira, Roberto de Alencar Lotufo, Hélio Pedrini
Lite Training Strategies for Portuguese-English and English-Portuguese Translation. WMT@EMNLP (2020)
Diedre Carmo, Bruna Silva, Clarissa L. Yasuda, Letícia Rittner, Roberto de Alencar Lotufo
Hippocampus Segmentation on Epilepsy and Alzheimer's Disease Studies with Multiple Convolutional Neural Networks. CoRR (2020)
Alexandre Lopes, Rodrigo Nogueira, Roberto de Alencar Lotufo, Hélio Pedrini
Lite Training Strategies for Portuguese-English and English-Portuguese Translation. CoRR (2020)
Fábio Souza, Rodrigo Nogueira, Roberto de Alencar Lotufo
BERTimbau: Pretrained BERT Models for Brazilian Portuguese. BRACIS (2020)
Roberto Souza, Oeslle Lucena, Mariana P. Bento, Julia Garrafa, Letícia Rittner, Simone Appenzeller, Roberto de Alencar Lotufo, Richard Frayne
Brain Extraction Network Trained with "Silver Standard" Data and Fine-Tuned with Manual Annotation for Improved Segmentation. SIBGRAPI (2019)
Diedre Carmo, Bruna Silva, Clarissa L. Yasuda, Letícia Rittner, Roberto de Alencar Lotufo
Extended 2D Volumetric Consensus Hippocampus Segmentation. CoRR (2019)
Fábio Souza, Rodrigo Frassetto Nogueira, Roberto de Alencar Lotufo
Portuguese Named Entity Recognition using BERT-CRF. CoRR (2019)
Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo
Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks. Artif. Intell. Medicine 98 (2019)
Roberto Souza, Oeslle Lucena, Mariana P. Bento, Julia Garrafa, Simone Appenzeller, Letícia Rittner, Roberto de Alencar Lotufo, Richard Frayne
Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: A skull stripping case study. ISBI (2018)
Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo
Silver standard masks for data augmentation applied to deep-learning-based skull-stripping. ISBI (2018)
Roberto Souza, Oeslle Lucena, Julia Garrafa, David G. Gobbi, Marina Salluzzi, Simone Appenzeller, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo
An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement. NeuroImage 170 (2018)
Irene Fantini, Letícia Rittner, Clarissa L. Yasuda, Roberto de Alencar Lotufo
Automatic detection of motion artifacts on MRI using Deep CNN. PRNI (2018)
Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo
Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver standard Masks. CoRR (2018)
Lívia Rodrigues, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo
Common Carotid Artery Lumen Automatic Segmentation from Cine Fast Spin Echo Magnetic Resonance Imaging. SaMBa@MICCAI (2018)
Guilherme S. Soares, Rubens Campos Machado, Roberto de Alencar Lotufo
People-Flow Counting Using Depth Images for Embedded Processing. ICIAR (2017)
Roberto Souza, Letícia Rittner, Rubens Machado, Roberto de Alencar Lotufo
iamxt: Max-tree toolbox for image processing and analysis. SoftwareX 6 (2017)
Mariana P. Bento, Roberto Medeiros de Souza, Roberto de Alencar Lotufo, Richard Frayne, Letícia Rittner
WMH Segmentation Challenge: A Texture-Based Classification Approach. BrainLes@MICCAI (2017)
Oeslle Lucena, Amadeu Junior, Vitor Moia, Roberto Souza, Eduardo Valle, Roberto de Alencar Lotufo
Transfer Learning Using Convolutional Neural Networks for Face Anti-spoofing. ICIAR (2017)
Lívia Rodrigues, Roberto Medeiros de Souza, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo
Common Carotid Artery Lumen Segmentation from Cardiac Cycle-Resolved Cine Fast Spin Echo Magnetic Resonance Imaging. SIBGRAPI (2017)
Mariana P. Bento, Yan Sym, Richard Frayne, Roberto de Alencar Lotufo, Letícia Rittner
Probabilistic Segmentation of Brain White Matter Lesions Using Texture-Based Classification. ICIAR (2017)
Roberto Souza, Luis A. Tavares, Letícia Rittner, Roberto de Alencar Lotufo
An Overview of Max-Tree Principles, Algorithms and Applications. SIBGRAPI Tutorials (2016)
Pedram Ghamisi, Roberto Souza, Jón Atli Benediktsson, Xiao Xiang Zhu, Letícia Rittner, Roberto de Alencar Lotufo
Extended extinction profile for the classification of hyperspectral images. WHISPERS (2016)
Pedram Ghamisi, Roberto Souza, Jón Atli Benediktsson, Xiao Xiang Zhu, Letícia Rittner, Roberto de Alencar Lotufo
Extinction Profiles for the Classification of Remote Sensing Data. IEEE Trans. Geosci. Remote. Sens. 54 (10) (2016)
Pedram Ghamisi, Roberto Souza, Jón Atli Benediktsson, Letícia Rittner, Roberto de Alencar Lotufo, Xiao Xiang Zhu
Hyperspectral Data Classification Using Extended Extinction Profiles. IEEE Geosci. Remote. Sens. Lett. 13 (11) (2016)
Mariana Leite, David G. Gobbi, Marina Salluzzi, Richard Frayne, Roberto de Alencar Lotufo, Letícia Rittner
3D texture-based classification applied on brain white matter lesions on MR images. Medical Imaging: Computer-Aided Diagnosis (2016)
Rodrigo Frassetto Nogueira, Roberto de Alencar Lotufo, Rubens Campos Machado
Fingerprint Liveness Detection Using Convolutional Neural Networks. IEEE Trans. Inf. Forensics Secur. 11 (6) (2016)
Gustavo R. Pinheiro, Guilherme S. Soares, André Luis Costa, Roberto de Alencar Lotufo, Letícia Rittner
Divergence map from diffusion tensor imaging: Concepts and application to corpus callosum. EMBC (2016)
Pedram Ghamisi, Roberto Souza, Letícia Rittner, Jón Atli Benediktsson, Roberto de Alencar Lotufo, Xiao Xiang Zhu
Extinction profiles: A novel approach for the analysis of remote sensing data. IGARSS (2016)
Luis A. Tavares, Roberto M. Souza, Letícia Rittner, Rubens Campos Machado, Roberto de Alencar Lotufo
A Max-Tree Simplification Proposal and Applications for the Interactive Max-Tree Visualization Tool. SIBGRAPI (2016)
Roberto Souza, Letícia Rittner, Rubens Campos Machado, Roberto de Alencar Lotufo
A Comparison Between Extinction Filters and Attribute Filters. ISMM (2015)
Roberto Souza, Letícia Rittner, Roberto de Alencar Lotufo, Rubens Campos Machado
An array-based node-oriented max-tree representation. ICIP (2015)
Luis A. Tavares, Roberto M. Souza, Letícia Rittner, Rubens Campos Machado, Roberto de Alencar Lotufo
Interactive max-tree visualization tool for image processing and analysis. IPTA (2015)
Rodrigo Frassetto Nogueira, Roberto de Alencar Lotufo, Rubens Campos Machado
Evaluating software-based fingerprint liveness detection using Convolutional Networks and Local Binary Patterns. CoRR (2015)
André Luis Costa, Letícia Rittner, Roberto de Alencar Lotufo, Simone Appenzeller
Mid-callosal plane determination using preferred directions from diffusion tensor images. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2015)
Adriana S. Iwashita, João Paulo Papa, André N. de Souza, Alexandre X. Falcão, Roberto de Alencar Lotufo, V. M. Oliveira, Victor Hugo C. de Albuquerque, João Manuel R. S. Tavares
A path- and label-cost propagation approach to speedup the training of the optimum-path forest classifier. Pattern Recognit. Lett. 40 (2014)
Roberto Souza, Letícia Rittner, Roberto de Alencar Lotufo
A comparison between k-Optimum Path Forest and k-Nearest Neighbors supervised classifiers. Pattern Recognit. Lett. 39 (2014)
Roberto Souza, Letícia Rittner, Rubens Campos Machado, Roberto de Alencar Lotufo
Maximal Max-Tree Simplification. ICPR (2014)
Mariana P. Bento, Letícia Rittner, Simone Appenzeller, Aline Lapa, Roberto de Alencar Lotufo
Analysis of brain white matter hyperintensities using pattern recognition techniques. Medical Imaging: Image Processing (2013)
Letícia Rittner, Jennifer S. W. Campbell, Pedro Freitas, Simone Appenzeller, G. Bruce Pike, Roberto de Alencar Lotufo
Analysis of Scalar Maps for the Segmentation of the Corpus Callosum in Diffusion Tensor Fields. J. Math. Imaging Vis. 45 (3) (2013)
Pedro Freitas, Letícia Rittner, Simone Appenzeller, Aline Lapa, Roberto de Alencar Lotufo
Watershed-based segmentation of the corpus callosum in diffusion MRI. Medical Imaging: Image Processing (2012)
Adriana S. Iwashita, João P. Papa, Alexandre X. Falcão, Roberto de Alencar Lotufo, Victor M. de Araujo Oliveira, Victor Hugo C. de Albuquerque, João Manuel R. S. Tavares
Speeding up optimum-path forest training by path-cost propagation. ICPR (2012)
Roberto Souza, Roberto de Alencar Lotufo, Letícia Rittner
A Comparison between Optimum-Path Forest and k-Nearest Neighbors Classifiers. SIBGRAPI (2012)
André Körbes, Giovani Bernardes Vitor, Roberto de Alencar Lotufo, Janito Vaqueiro Ferreira
Advances on Watershed Processing on GPU Architecture. ISMM (2011)
Rubens Campos Machado, Letícia Rittner, Roberto de Alencar Lotufo
Adessowiki - Collaborative platform for writing executable papers. ICCS (2011)
Pedro Freitas, Letícia Rittner, Simone Appenzeller, Roberto de Alencar Lotufo
Watershed-Based Segmentation of the Midsagittal Section of the Corpus Callosum in Diffusion MRI. SIBGRAPI (2011)
Alexandre Gonçalves Silva, Roberto de Alencar Lotufo
Efficient computation of new extinction values from extended component tree. Pattern Recognit. Lett. 32 (1) (2011)
Letícia Rittner, André Vital Saúde, Alexandre Gonçalves Silva, Rubens Campos Machado, Mariana P. Bento, Roberto de Alencar Lotufo
Adessowiki: Collaborative Scientific Programming Environment. SIBGRAPI Tutorials (2011)
Letícia Rittner, Franklin César Flores, Roberto de Alencar Lotufo
A tensorial framework for color images. Pattern Recognit. Lett. 31 (4) (2010)
Giovani Bernardes Vitor, André Körbes, Roberto de Alencar Lotufo, Janito Vaqueiro Ferreira
Analysis of a Step-Based Watershed Algorithm Using CUDA. Int. J. Nat. Comput. Res. 1 (4) (2010)
Letícia Rittner, Roberto de Alencar Lotufo, Jennifer S. W. Campbell, G. Bruce Pike
Segmentation of thalamic nuclei based on tensorial morphological gradient of diffusion tensor fields. ISBI (2010)
Franklin César Flores, Roberto de Alencar Lotufo
A New Hierarchical Decomposition Applied to Object Segmentation in Image Sequences: The Uniform Decomposition. SIBGRAPI (2010)
Romaric Audigier, Roberto de Alencar Lotufo
Relationships between some watershed definitions and their tie-zone transforms. Image Vis. Comput. 28 (10) (2010)
Franklin César Flores, Roberto de Alencar Lotufo
Watershed from propagated markers: An interactive method to morphological object segmentation in image sequences. Image Vis. Comput. 28 (11) (2010)
Franklin César Flores, Roberto de Alencar Lotufo
Watershed from Propagated Markers Improved by the Combination of Spatio-temporal Gradient and Binding of Markers Heuristics. VISAPP (2) (2010)
Roberto de Alencar Lotufo, Rubens Campos Machado, André Körbes, Rafael G. Ramos
Adessowiki on-line collaborative scientific programming platform. Int. Sym. Wikis (2009)
Letícia Rittner, Roberto de Alencar Lotufo
Segmentation of DTI based on tensorial morphological gradient. Medical Imaging: Image Processing (2009)
Letícia Rittner, Simone Appenzeller, Roberto de Alencar Lotufo
Segmentation of Brain Structures by Watershed Transform on Tensorial Morphological Gradient of Diffusion Tensor Imaging. SIBGRAPI (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Roberto de Alencar Lotufo