An Automated Platform for Immersive and Collaborative Visualization of Industrial Models. - Nelson Duarte Filho; Silvia Silva da Costa Botelho; Jônata Tyska Carvalho; Pedro de Botelho Marcos; Renan de Queiroz Maffei; Rodrigo Ruas Oliveira; Vinicius Alves Hax (ICECCS, 2009)

Hyper-Environments: A Different Way to Think about IoT. - Jônata Tyska Carvalho; Rafael Penna; Silvia Silva da Costa Botelho; Nelson Duarte Filho; Rodrigo Ruas Oliveira; Edevaldo Santos (iThings/CPSCom, 2011)

Functional Modularity Enables the Realization of Smooth and Effective Behavior Integration. - Stefano Nolfi; Jônata Tyska Carvalho (ALIFE, 2016)

Affordance generation enables behavioral plasticity and cognitive offloading in evolving robots. - Jônata Tyska Carvalho; Stefano Nolfi (SSCI, 2016)

Behavioural plasticity in evolving robots. - Jônata Tyska Carvalho; Stefano Nolfi (Theory Biosci., 2016)

Exploiting environmental differentiation to promote evolvability in artificial evolution. - Jônata Tyska Carvalho; Stefano Nolfi (GECCO (Companion), 2017)

Favoring the evolution of adaptive robots through environmental differentiation. - Jônata Tyska Carvalho; Stefano Nolfi (SSCI, 2017)

Environmental variations promotes adaptation in artificial evolution. - Nicola Milano; Jônata Tyska Carvalho; Stefano Nolfi (SSCI, 2017)

Moderate Environmental Variation Promotes Adaptation in Artificial Evolution. - Nicola Milano; Jônata Tyska Carvalho; Stefano Nolfi (CoRR, 2017)

Evolving Robust Solutions for Stochastically Varying Problems. - Jônata Tyska Carvalho; Nicola Milano; Stefano Nolfi (CEC, 2018)

Moderate Environmental Variation Across Generations Promotes the Evolution of Robust Solutions. - Nicola Milano; Jônata Tyska Carvalho; Stefano Nolfi (Artif. Life, 2018)

Detection of fraud in public procurement using data-driven methods: a systematic mapping study. - Everton Schneider dos Santos; Matheus Machado dos Santos; Márcio Castro 001; Jônata Tyska Carvalho (EPJ Data Sci., 2019)

Inter-Mobile-Device Distance Estimation using Network Localization Algorithms for Digital Contact Logging Applications. - Lillian Clark; Alan Papalia; Jônata Tyska Carvalho; Luca Mastrostefano; Bhaskar Krishnamachari (CoRR, 2020)

Fast Movelet Extraction and Dimensionality Reduction for Robust Multiple Aspect Trajectory Classification. - Tarlis Tortelli Portela; Camila Leite da Silva; Jônata Tyska Carvalho; Vania Bogorny (BRACIS (1), 2021)

Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization. - Shubham Rai; Walter Lau Neto; Yukio Miyasaka; Xinpei Zhang; Mingfei Yu; Qingyang Yi; Masahiro Fujita; Guilherme B. Manske; Matheus F. Pontes; Leomar S. da Rosa; Marilton S. de Aguiar; Paulo F. Butzen; et al. (DATE, 2021)

Fast Logic Optimization Using Decision Trees. - Brunno A. Abreu; Augusto Andre Souza Berndt; Isac de Souza Campos; Cristina Meinhardt; Jônata Tyska Carvalho; Mateus Grellert; Sergio Bampi (ISCAS, 2021)

A novel similarity measure for multiple aspect trajectory clustering. - Iraklis Varlamis; Christos Sardianos; Vania Bogorny; Luis Otávio Alvares; Jônata Tyska Carvalho; Chiara Renso; Raffaele Perego 001; John Violos (SAC, 2021)

Multi-Constrained Voronoi-Based Task Allocator for Smart-Warehouses. - George Oliveira; Patricia Della Méa Plentz; Jônata Tyska Carvalho (SACI, 2021)

Fast discovery of multidimensional subsequences for robust trajectory classification. - Tarlis Tortelli Portela; Jônata Tyska Carvalho; Vania Bogorny (CoRR, 2021)

Mining frequency-based sequential trajectory co-clusters. - Yuri Santos; Jônata Tyska Carvalho; Vania Bogorny (CoRR, 2021)

Event Detection in Therapy Sessions for Children with Autism. - Guilherme Ocker Ribeiro; Alexandre Soli Soares; Jônata Tyska Carvalho; Mateus Grellert (BRACIS (2), 2022)

Efficient Task Allocation in Smart Warehouses with Multi-Delivery Stations and Heterogeneous Robots. - George S. Oliveira; Juha Röoning; Jônata Tyska Carvalho; Patricia Della Méa Plentz (FUSION, 2022)

An Experimental Analysis of Smart Warehouses' Order Flow in Robot Energy Consumption. - George S. Oliveira; Jônata Tyska Carvalho; Patricia Della Méa Plentz (LARS/SBR/WRE, 2022)

SS-OCoClus: A contiguous order-aware method for semantic trajectory co-clustering. - Yuri Santos; Jônata Tyska Carvalho; Vania Bogorny (MDM, 2022)

On the Impact of the Duration of Evaluation Episodes on the Evolution of Adaptive Robots. - Larissa Gremelmaier Rosa; Vitor Hugo Homem; Stefano Nolfi; Jônata Tyska Carvalho (PPSN (1), 2022)

On the Effect of Heterogeneous Robot Fleets on Smart Warehouses' Order Time, Energy, and Operating Costs. - George S. Oliveira; Jônata Tyska Carvalho; Patricia Della Méa Plentz (SBESC, 2022)

Efficient Task Allocation in Smart Warehouses with Multi-delivery Stations and Heterogeneous Robots. - George S. Oliveira; Juha Röning; Patricia Della Méa Plentz; Jônata Tyska Carvalho (CoRR, 2022)

The Role of Environmental Variations in Evolutionary Robotics: Maximizing Performance and Robustness. - Jônata Tyska Carvalho; Stefano Nolfi (CoRR, 2022)

HiPerMovelets: high-performance movelet extraction for trajectory classification. - Tarlis Tortelli Portela; Jônata Tyska Carvalho; Vania Bogorny (Int. J. Geogr. Inf. Sci., 2022)

Co-designing play activities and monitoring tools with smart interactive toys to support early intervention in Autism Spectrum Disorder and comparable neurodevelopmental conditions. - Beste Özcan; Valerio Sperati; Flora Giocondo; Jônata Tyska Carvalho; Gianluca Baldassarre (IDC, 2023)

MAT-Tree: A Tree-Based Method for Multiple Aspect Trajectory Clustering. - Yuri Santos; Ricardo Giuliani; Vania Bogorny; Mateus Grellert; Jônata Tyska Carvalho (BRACIS (1), 2023)

Stimming Behavior Dataset - Unifying Stereotype Behavior Dataset in the Wild. - Guilherme Ocker Ribeiro; Mateus Grellert; Jônata Tyska Carvalho (CBMS, 2023)

MAT-CA: a tool for Multiple Aspect Trajectory Clustering Analysis. - Yuri Santos; Ricardo Giuliani; Tarlis Tortelli Portela; Chiara Renso; Jônata Tyska Carvalho (EMODE@SIGSPATIAL, 2023)

Adaptive Batch Size CGP: Improving Accuracy and Runtime for CGP Logic Optimization Flow. - Bryan Martins Lima; Naiara Sachetti; Augusto Andre Souza Berndt; Cristina Meinhardt; Jônata Tyska Carvalho (EuroGP, 2023)

The Effectiveness of Niching on OpenAI-Evolution Strategies in the Evolution of Robotic Behavior. - Arthur Holtrup Bianchini; Brenda Silva Machado; Jônata Tyska Carvalho (GECCO Companion, 2023)

On the Impact of ECG Data Quality for Arrhythmia Detection Using Convolutional Neural Networks and Wearable Devices. - Juan Manuel Sancho; Jônata Tyska Carvalho (SSCI, 2023)

Using Data Mining Techniques to Understand Patterns of Suicide and Reattempt Rates in Southern Brazil. - Caibe A. Pereira; Rômulo C. R. Peixoto; Manuella P. Kaster; Mateus Grellert; Jônata Tyska Carvalho (BIOSTEC (2), 2024)

Improving Short-Content Misinformation Detection Using Multiple Aspect Trajectories Classification Techniques. - Juan Pablo Chavarro Sanchez; Tarlis Tortelli Portela; Jônata Tyska Carvalho (BRACIS (2), 2024)

Optimizing Maritime Propeller Design with Continuous Evolutionary Algorithms. - Joe Jonas Vogel; Paulo Barbato Fogaça de Almeida; Paulo Lilles Jorge Drews Junior; Crístofer Hood Marques; Jônata Tyska Carvalho (CEC, 2024)

UltraMovelets: Efficient Movelet Extraction for Multiple Aspect Trajectory Classification. - Tarlis Tortelli Portela; Vanessa Lago Machado; Jônata Tyska Carvalho; Vania Bogorny; Anna Bernasconi 001; Chiara Renso (DEXA (2), 2024)

From Geolocated Images to Urban Region Identification and Description: a Large Language Model Approach. - Guido Rocchietti; Chiara Pugliese; Gabriel Sartori Rangel; Jônata Tyska Carvalho (SIGSPATIAL/GIS, 2024)

Performance Variability of Machine Learning Models using Limited Data for Collusion Detection: A Case Study of the Brazilian Car Wash Operation. - Everton Schneider dos Santos; Matheus Machado dos Santos; Márcio Castro 001; Jônata Tyska Carvalho (SBBD, 2024)

Detecting Fraud in Public Procurement: A GMM-Based Approach to Analyzing Tender Data. - Fernando Augusto Schmitz; Lívia Ferrão; Matheus Machado dos Santos; Márcio Castro 001; Jônata Tyska Carvalho (SBBD, 2024)

Impact on Delay, Power and Area of Machine Learning-based Approximate Logic Synthesis. - João Carlos Prats Ramos; Naiara Sachetti; Augusto Andre Souza Berndt; Jônata Tyska Carvalho; Cristina Meinhardt (SBCCI, 2024)

Minimalist exploration strategies for robot swarms at the edge of chaos. - Vinicius Sartorio; Luigi Feola; Emanuel Estrada; Vito Trianni; Jônata Tyska Carvalho (CoRR, 2024)

The Role of Morphological Variation in Evolutionary Robotics: Maximizing Performance and Robustness. - Jônata Tyska Carvalho; Stefano Nolfi (Evol. Comput., 2024)

Interaction Detection in Images of Therapy Sessions with Children with Autism Spectrum Disorder. - Brenda Caroline Santos Mendes; Jônata Tyska Carvalho; Mateus Grellert (CBMS, 2025)

Minimalist exploration strategies for robot swarms at the edge of chaos. - Vinicius Sartorio; Luigi Feola; Vito Trianni; Jônata Tyska Carvalho (GECCO, 2025)

LLMs for sensory-motor control: Combining in-context and iterative learning. - Jônata Tyska Carvalho; Stefano Nolfi (CoRR, 2025)