Computational methods for analysis and characterization of the relationship between anatomy and gene expression in biological systems (Métodos computacionais para a caracterização e análise da relação entre anatomia e expressão gênica em sistemas biológicos). - Bruno Augusto Nassif Travençolo (2007)

Outward Accessibility in Urban Street Networks: Characterization and Improvements - Bruno Augusto Nassif Travençolo; Luciano da Fontoura Costa (CoRR, 2008)

Investigating relationships within and between category networks in Wikipedia. - Filipi Nascimento Silva; Matheus Palhares Viana; Bruno Augusto Nassif Travençolo; Luciano da Fontoura Costa (J. Informetrics, 2011)

Gene Expression Noise in Spatial Patterning: hunchback Promoter Structure Affects Noise Amplitude and Distribution in Drosophila Segmentation. - David M. Holloway; Francisco J. P. Lopes; Luciano da Fontoura Costa; Bruno Augusto Nassif Travençolo; Nina Golyandina; Konstantin Usevich; Alexander V. Spirov (PLoS Comput. Biol., 2011)

Structure and Dynamics: the Transition from nonequilibrium to Equilibrium in Integrate-and-Fire Dynamics. - Cesar H. Comin; João L. B. Batista; Matheus P. Viana; Luciano da F. Costa; Bruno Augusto Nassif Travençolo; Marcus Kaiser (Int. J. Bifurc. Chaos, 2012)

Automated Computation of Use Cases Similarity can Aid the Assessment of Cohesion and Complexity of Classes (S). - Renato Correa Juliano; Bruno A. N. Travençolo; Michel S. Soares; Marcelo de Almeida Maia (SEKE, 2013)

A Segmentation Method for Nuclei Identification from Sagittal Images of Drosophila melanogaster Embryos. - Daniela Justiniano de Sousa; Maira Arruda Cardoso; Paulo Mascarello Bisch; Francisco José Pereira Lopes; Bruno Augusto Nassif Travençolo (WSCG, 2013)

Detection of Software Anomalies Using Object-oriented Metrics. - Renato Correa Juliano; Bruno A. N. Travençolo; Michel S. Soares (ICEIS (2), 2014)

Unsupervised Segmentation of Leukocytes Images Using Thresholding Neighborhood Valley-Emphasis. - Thaína Aparecida Azevedo Tosta; Andressa Finzi de Abreu; Bruno Augusto Nassif Travençolo; Marcelo Zanchetta do Nascimento; Leandro Alves Neves (CBMS, 2015)

DyNetVis: a system for visualization of dynamic networks. - Claudio D. G. Linhares; Bruno A. N. Travençolo; Jose Gustavo de Souza Paiva; Luis E. C. Rocha (SAC, 2017)

Use of cytomorphometry for classification of subcellular patterns in 3D images. - Eduardo Henrique Silva; Jefferson Rodrigo de Souza; Bruno Augusto Nassif Travençolo (RITA, 2018)

A scalable node ordering strategy based on community structure for enhanced temporal network visualization. - Claudio D. G. Linhares; Jean R. Ponciano; Fabíola S. F. Pereira; Luis E. C. Rocha; Jose Gustavo Paiva; Bruno A. N. Travençolo (Comput. Graph., 2019)

DyNetVis - An interactive software to visualize structure and epidemics on temporal networks. - Claudio D. G. Linhares; Jean R. Ponciano; José Gustavo de Souza Paiva; Luis E. C. Rocha; Bruno A. N. Travençolo (ASONAM, 2020)

Segmentation of Oral Epithelial Dysplasias Employing Mask R-CNN and Color Normalization. - Adriano Barbosa-Silva; Dalí F. D. dos Santos; Thaína A. A. Tosta; Alessandro Santana Martins; Leandro Alves Neves; Bruno A. N. Travençolo; Paulo Rogério de Faria; Marcelo Zanchetta do Nascimento (BIBM, 2020)

Automated Nuclei Segmentation on Dysplastic Oral Tissues Using CNN. - Dalí F. D. dos Santos; Thaína A. A. Tosta; Adriano Barbosa-Silva; Paulo Rogério de Faria; Bruno A. N. Travençolo; Marcelo Zanchetta do Nascimento (IWSSIP, 2020)

Visual Analysis of Contact Patterns in School Environments. - Jean R. Ponciano; Claudio D. G. Linhares; Sara L. De Melo; Luciano Vieira Lima; Bruno A. N. Travençolo (Informatics Educ., 2020)

Automated standardization of images of Drosophila embryos. - Daniela Justiniano de Sousa; Maira Arruda Cardoso; Paulo Mascarello Bisch; Francisco José Pereira Lopes; Bruno Augusto Nassif Travençolo (J. Vis. Commun. Image Represent., 2020)

Visual analysis for evaluation of community detection algorithms. - Claudio D. G. Linhares; Jean R. Ponciano; Fabíola S. F. Pereira; Luis E. C. Rocha; Jose Gustavo de Souza Paiva; Bruno A. N. Travençolo (Multim. Tools Appl., 2020)

Automated detection of tumor regions from oral histological whole slide images using fully convolutional neural networks. - Dalí F. D. dos Santos; Paulo Rogério de Faria; Bruno A. N. Travençolo; Marcelo Zanchetta do Nascimento (Biomed. Signal Process. Control., 2021)

An online and nonuniform timeslicing method for network visualisation. - Jean R. Ponciano; Claudio D. G. Linhares; Elaine R. Faria; Bruno A. N. Travençolo (Comput. Graph., 2021)

Automatic Segmentation of Bone Canals in Histological Images. - Pedro Henrique Campos Cunha Gondim; Pedro Henrique Justino Oliveira Limirio; Flaviana Soares Rocha; Jonas Dantas Batista; Paula Dechichi; Bruno Augusto Nassif Travençolo; André Ricardo Backes (J. Digit. Imaging, 2021)

A comparative analysis for visualizing the temporal evolution of contact networks: a user study. - Claudio D. G. Linhares; Jean R. Ponciano; José Gustavo de Souza Paiva; Bruno A. N. Travençolo; Luis E. C. Rocha (J. Vis., 2021)

A streaming edge sampling method for network visualization. - Jean R. Ponciano; Claudio D. G. Linhares; Luis E. C. Rocha; Elaine R. Faria; Bruno A. N. Travençolo (Knowl. Inf. Syst., 2021)

A Network-Based Visual Analytics Approach for Performance Evaluation of Swarms of Robots in the Surveillance Task. - Claudio D. G. Linhares; Claudiney R. Tinoco; Jean R. Ponciano; Gina M. B. Oliveira; Bruno A. N. Travençolo (BRACIS (1), 2022)

Combining clutter reduction methods for temporal network visualization. - Jean R. Ponciano; Claudio D. G. Linhares; Luis E. C. Rocha; Elaine R. Faria; Bruno A. N. Travençolo (SAC, 2022)

A Review of In-Memory Space-Efficient Data Structures for Temporal Graphs. - Luiz F. A. Brito; Bruno A. N. Travençolo; Marcelo K. Albertini (CoRR, 2022)

Optimizing a Deep Residual Neural Network with Genetic Algorithm for Acute Lymphoblastic Leukemia Classification. - Larissa Ferreira Rodrigues; André Ricardo Backes; Bruno Augusto Nassif Travençolo; Gina Maira Barbosa de Oliveira (J. Digit. Imaging, 2022)

A dynamic data structure for temporal reachability with unsorted contact insertions. - Luiz F. A. Brito; Marcelo K. Albertini; Arnaud Casteigts; Bruno A. N. Travençolo (Soc. Netw. Anal. Min., 2022)

Ensemble Architectures and Efficient Fusion Techniques for Convolutional Neural Networks: An Analysis on Resource Optimization Strategies. - Cicero L. Costa; Danielli A. Lima; Célia A. Zorzo Barcelos; Bruno A. N. Travençolo (BRACIS (2), 2023)

Hematoxylin and eosin stained oral squamous cell carcinoma histological images dataset. - Dalí F. D. dos Santos; Paulo Rogério de Faria; Adriano M. Loyola; Sérgio V. Cardoso; Bruno A. N. Travençolo; Marcelo Zanchetta do Nascimento (CoRR, 2023)

A Dynamic Data Structure for Representing Timed Transitive Closures on Disk. - Luiz F. Afra Brito; Marcelo Keese Albertini; Bruno A. N. Travençolo (CoRR, 2023)

An Artificial Intelligence-as-a-Service Architecture for deep learning model embodiment on low-cost devices: A case study of COVID-19 diagnosis. - Larissa Ferreira Rodrigues Moreira; Rodrigo Moreira; Bruno Augusto Nassif Travençolo; André Ricardo Backes (Appl. Soft Comput., 2023)

Artificial Intelligence for Detecting Cephalometric Landmarks: A Systematic Review and Meta-analysis. - Germana de Queiroz Tavares Borges Mesquita; Walbert A. Vieira; Maria Tereza Campos Vidigal; Bruno Augusto Nassif Travençolo; Thiago Leite Beaini; Rubens Spin-Neto; Luiz Renato Paranhos; Rui Barbosa de Brito Júnior (J. Digit. Imaging, 2023)

Influence of Data Augmentation Strategies on the Segmentation of Oral Histological Images Using Fully Convolutional Neural Networks. - Dalí F. D. dos Santos; Paulo Rogério de Faria; Bruno A. N. Travençolo; Marcelo Zanchetta do Nascimento (J. Digit. Imaging, 2023)

Maximizing the Power of Cognitive Services with an AI-as-a-Service Architecture for Seamless Delivery. - Larissa Ferreira Rodrigues Moreira; Rodrigo Moreira; Emanuel Teixeira Martins; Victor Forattini Jansen; Yasmin Souza Lima; Leonardo Gabriel Ferreira Rodrigues; Bruno Augusto Nassif Travençolo; André Ricardo Backes (CloudNet, 2024)

Enabling Intelligence on Edge Through an Artificial Intelligence as a Service Architecture. - Larissa Ferreira Rodrigues Moreira; Lucas Nardelli de Freitas Botelho Saar; Rodrigo Moreira; Leonardo Gabriel Ferreira Rodrigues; Bruno Augusto Nassif Travençolo; André Ricardo Backes (CloudNet, 2024)

Dynamic compact data structure for temporal reachability with unsorted contact insertions. - Luiz Fernando Afra Brito; Marcelo Keese Albertini; Bruno Augusto Nassif Travençolo; Gonzalo Navarro 001 (Comput. J., 2024)

Canonical correlation and visual analytics for water resources analysis. - Arezoo Bybordi; Terri Thampan; Claudio D. G. Linhares; Jean R. Ponciano; Bruno A. N. Travençolo; Jose Gustavo de Souza Paiva; Ronak Etemadpour (Multim. Tools Appl., 2024)

Evaluation of a Coordination Model for Robot Swarms in Collective Environment Mapping. - Claudiney R. Tinoco; Bruno A. N. Travençolo; Luiz G. A. Martins (CEC, 2025)

Deep Learning for Image Analysis and Diagnosis Aid of Prostate Cancer. - Maxwell Gomes da Silva; Bruno Augusto Nassif Travençolo; André R. Backes (VISIGRAPP (3): VISAPP, 2025)

Deep learning based image classification for embedded devices: A systematic review. - Larissa Ferreira Rodrigues Moreira; Rodrigo Moreira; Bruno Augusto Nassif Travençolo; André Ricardo Backes (Neurocomputing, 2025)