| 2025 | ICTAI | Inducing Grokking with Distribution Shifts. | Breno W. Carvalho, Artur d'Avila Garcez, Lus C. Lamb, Emilio Vital Brazil |
| 2025 | NeSy | Understanding Boolean Function Learnability on Deep Neural Networks: PAC Learning Meets Neurosymbolic Models. | Mrcio Nicolau, Anderson R. Tavares, Zhiwei Zhang, Pedro H. C. Avelar, Joo Marcos Flach, Lus C. Lamb, Moshe Y. Vardi |
| 2023 | ICTAI | Graph Neural Networks with No Supervision and Heuristics for the Kidney-Exchange Problem. | Pedro Foletto Pimenta, Pedro H. C. Avelar, Lus C. Lamb |
| 2021 | ICAART | Discrete and Continuous Deep Residual Learning over Graphs. | Pedro H. C. Avelar, Anderson R. Tavares, Marco Gori, Lus C. Lamb |
| 2020 | CEC | Exact Signed Modularity Density Maximization Solutions and Their Real Meaning | Rafael de Santiago, Lus C. Lamb |
| 2020 | ICANN | Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases. | Henrique Lemos, Pedro H. C. Avelar, Marcelo O. R. Prates, Artur S. d'Avila Garcez, Lus C. Lamb |
| 2020 | IJCAI | Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective. | Lus C. Lamb, Artur S. d'Avila Garcez, Marco Gori, Marcelo O. R. Prates, Pedro H. C. Avelar, Moshe Y. Vardi |
| 2019 | AAAI | Learning to Solve NP-Complete Problems: A Graph Neural Network for Decision TSP. | Marcelo O. R. Prates, Pedro H. C. Avelar, Henrique Lemos, Lus C. Lamb, Moshe Y. Vardi |
| 2019 | ICAART | On the Role of Central Individuals in Influence Propagation. | Rafael de Santiago, Fernando Concatto, Lus C. Lamb |
| 2019 | ICTAI | Graph Colouring Meets Deep Learning: Effective Graph Neural Network Models for Combinatorial Problems. | Henrique Lemos, Marcelo O. R. Prates, Pedro H. C. Avelar, Lus C. Lamb |
| 2018 | CEC | Novel Parallel Anytime A* for Graph and Network Clustering. | Rudson Francisco Da Silva Mendes, Rafael de Santiago, Lus C. Lamb |
| 2018 | ICONIP | Neural Networks Models for Analyzing Magic: The Gathering Cards. | Felipe Zilio, Marcelo O. R. Prates, Lus C. Lamb |
| 2018 | IJCNN | Computing Vertex Centrality Measures in Massive Real Networks with a Neural Learning Model. | Felipe Grando, Lus C. Lamb |
| 2018 | ICTAI | Effective Ant Colony Optimization Solution for the Brazilian Family Health Team Scheduling Problem. | Willian Heitor Martins, Lucia Helena Souza Alves de Santiago, Rafael de Santiago, Lus C. Lamb |
| 2018 | ICTAI | Problem Solving at the Edge of Chaos: Entropy, Puzzles and the Sudoku Freezing Transition. | Marcelo O. R. Prates, Lus C. Lamb |
| 2018 | ISCC | On the Effectiveness of the Block Two-Level Erdős-Rnyi Generative Network Model. | Felipe Grando, Lus C. Lamb |
| 2017 | CEC | Novel Clique enumeration heuristic for detecting overlapping clusters. | Rafael Schmitt, Pedro Ramos, Rafael de Santiago, Lus C. Lamb |
| 2017 | GECCO | Genetic algorithm for epidemic mitigation by removing relationships. | Fernando Concatto, Wellington Zunino, Luigi A. Giancoli, Rafael de Santiago, Lus C. Lamb |
| 2017 | GECCO | Efficient quantitative heuristics for graph clustering. | Rafael de Santiago, Lus C. Lamb |
| 2016 | CEC | On the role of degree influence in suboptimal modularity maximization. | Rafael de Santiago, Lus C. Lamb |
| 2016 | GECCO | Efficient Stochastic Local Search for Modularity Maximization. | Rafael de Santiago, Lus C. Lamb |
| 2016 | GLOBECOM | An Analysis of Centrality Measures for Complex and Social Networks. | Felipe Grando, Diego Noble, Lus C. Lamb |
| 2016 | ICONIP | A New Model and Heuristic for Infection Minimization by Cutting Relationships. | Rafael de Santiago, Wellington Zunino, Fernando Concatto, Lus C. Lamb |
| 2016 | IJCNN | On approximating networks centrality measures via neural learning algorithms. | Felipe Grando, Lus C. Lamb |
| 2015 | AAAI | Collaboration in Social Problem-Solving: When Diversity Trumps Network Efficiency. | Diego Noble, Marcelo O. R. Prates, Daniel Bossle, Lus C. Lamb |
| 2015 | IJCNN | Estimating complex networks centrality via neural networks and machine learning. | Felipe Grando, Lus C. Lamb |
| 2014 | IJCNN | Applying Neural-Symbolic Cognitive Agents in Intelligent Transport Systems to reduce CO2 emissions. | Leo de Penning, Artur S. d'Avila Garcez, Lus C. Lamb, Arjan Stuiver, John-Jules Ch. Meyer |
| 2013 | AINA | Investigating a Socially Inspired Heterogeneous System of Problem Solving Agents. | Diego Noble, Lus C. Lamb, Ricardo M. Arajo |
| 2013 | HCOMP | Leveraging Collaboration: A Methodology for the Design of Social Problem-Solving Systems. | Lucas M. Tabajara, Marcelo O. R. Prates, Diego Noble, Lus C. Lamb |
| 2011 | CEC | A hybrid genetic algorithm for the 3-D protein structure prediction problem using a path-relinking strategy. | Mrcio Dorn, Luciana S. Buriol, Lus C. Lamb |
| 2011 | IJCAI | Combining Machine Learning and Optimization Techniques to Determine 3-D Structures of Polypeptides. | Mrcio Dorn, Luciana S. Buriol, Lus C. Lamb |
| 2011 | IJCAI | Towards Social Problem-Solving with Human Subjects. | Daniel S. Farenzena, Ricardo M. Arajo, Lus C. Lamb |
| 2011 | IJCAI | A Neural-Symbolic Cognitive Agent for Online Learning and Reasoning. | Leo de Penning, Artur S. d'Avila Garcez, Lus C. Lamb, John-Jules Ch. Meyer |
| 2011 | ICSE | Learning to adapt requirements specifications of evolving systems. | Rafael V. Borges, Artur S. d'Avila Garcez, Lus C. Lamb, Bashar Nuseibeh |
| 2011 | ICSE | Formalizing traceability relations for product lines. | Lus C. Lamb, Waraporn Jirapanthong, Andrea Zisman |
| 2010 | AAAI | Combining Human Reasoning and Machine Computation: Towards a Memetic Network Solution to Satisfiability. | Daniel S. Farenzena, Lus C. Lamb, Ricardo M. Arajo |
| 2010 | ICANN | Representing, Learning and Extracting Temporal Knowledge from Neural Networks: A Case Study. | Rafael V. Borges, Artur S. d'Avila Garcez, Lus C. Lamb |
| 2009 | AINA | A Hierarchical Model for Firewall Policy Extraction. | Eduardo Horowitz, Lus C. Lamb |
| 2009 | ICSE | Model-based Methodologies for Pervasive and Embedded Software. | Joo M. Fernandes, Ricardo Jorge Machado, Lus C. Lamb, Flvio Rech Wagner |
| 2008 | AAAI | Memetic Networks: Analyzing the Effects of Network Properties in Multi-Agent Performance. | Ricardo M. Arajo, Lus C. Lamb |
| 2008 | DATE | Using UML as Front-end for Heterogeneous Software Code Generation Strategies. | Lisane B. de Brisolara, Marcio Ferreira da Silva Oliveira, Ricardo Miotto Redin, Lus C. Lamb, Luigi Carro, Flvio Rech Wagner |
| 2008 | ECAI | On the Role of Structured Information Exchange in Supervised Learning. | Ricardo M. Arajo, Lus C. Lamb |
| 2008 | GECCO | Distributed problem solving by memetic networks: extended abstract. | Ricardo M. Arajo, Lus C. Lamb |
| 2008 | ICTAI | On the Effects of Network Structure in Population-Based Optimization. | Ricardo M. Arajo, Lus C. Lamb |
| 2007 | AAAI | A Connectionist Cognitive Model for Temporal Synchronisation and Learning. | Lus C. Lamb, Rafael V. Borges, Artur S. d'Avila Garcez |
| 2007 | IJCAI | An Information-Theoretic Analysis of Memory Bounds in a Distributed Resource Allocation Mechanism. | Ricardo M. Arajo, Lus C. Lamb |
| 2007 | IJCAI | Towards Reasoning about the Past in Neural-symbolic Systems. | Rafael V. Borges, Lus C. Lamb, Artur S. d'Avila Garcez |
| 2007 | IJCNN | Reasoning and Learning About Past Temporal Knowledge in Connectionist Models. | Rafael V. Borges, Lus C. Lamb, Artur S. d'Avila Garcez |
| 2006 | HIS | Combining Architectures for Temporal Learning in Neural-Symbolic Systems. | Rafael V. Borges, Lus C. Lamb, Artur S. d'Avila Garcez |
| 2005 | IJCAI | On the Evolution of Memory Size in the Minority Game (extended abstract). | Ricardo Matsumura de Arajo, Lus C. Lamb |
| 2005 | IJCAI | Cognitive Modelling of Event Ordering Reasoning in Imagistic Domains. | Laura S. Mastella, Mara Abel, Lus C. Lamb, Luis Fernando De Ros |
| 2004 | ECAI | Towards a Connectionist Argumentation Framework. | Artur S. d'Avila Garcez, Dov M. Gabbay, Lus C. Lamb |
| 2004 | ICONIP | Neural-Evolutionary Learning in a Bounded Rationality Scenario. | Ricardo Matsumura de Arajo, Lus C. Lamb |
| 2004 | ICONIP | Argumentation Neural Networks. | Artur S. d'Avila Garcez, Dov M. Gabbay, Lus C. Lamb |
| 2004 | ICTAI | Towards Understanding the Role of Learning Models in the Dynamics of the Minority Game. | Ricardo Matsumura de Arajo, Lus C. Lamb |
| 2003 | FlAIRS | Distributed Knowledge Representation in Neural-Symbolic Learning Systems: A Case Study. | Artur S. d'Avila Garcez, Lus C. Lamb, Krysia Broda, Dov M. Gabbay |
| 2003 | HIS | Neural-Symbolic Intuitionistic Reasoning. | Artur S. d'Avila Garcez, Lus C. Lamb, Dov M. Gabbay |