Labelled proof theory for conditional logic. - Luís da Cunha Lamb (2000)

Book Review: "Elementary Logics: a Procedural Perspective" by Dov M. Gabbay. - Luís C. Lamb (J. Log. Comput., 2001)

Labelled Natural Deduction for Conditional Logics of Normality. - Krysia Broda; Dov M. Gabbay; Luís C. Lamb; Alessandra Russo (Log. J. IGPL, 2002)

Distributed Knowledge Representation in Neural-Symbolic Learning Systems: A Case Study. - Artur S. d'Avila Garcez; Luís C. Lamb; Krysia Broda; Dov M. Gabbay (FLAIRS, 2003)

Neural-Symbolic Intuitionistic Reasoning. - Artur S. d'Avila Garcez; Luís C. Lamb; Dov M. Gabbay (HIS, 2003)

Reasoning about Time and Knowledge in Neural Symbolic Learning Systems. - Artur S. d'Avila Garcez; Luís C. Lamb (NIPS, 2003)

Towards a Connectionist Argumentation Framework. - Artur S. d'Avila Garcez; Dov M. Gabbay; Luís C. Lamb (ECAI, 2004)

Neural-Evolutionary Learning in a Bounded Rationality Scenario. - Ricardo Matsumura de Araújo; Luís C. Lamb (ICONIP, 2004)

Argumentation Neural Networks. - Artur S. d'Avila Garcez; Dov M. Gabbay; Luís C. Lamb (ICONIP, 2004)

Towards Understanding the Role of Learning Models in the Dynamics of the Minority Game. - Ricardo Matsumura de Araújo; Luís C. Lamb (ICTAI, 2004)

Applying connectionist modal logics to distributed knowledge representation problems. - Artur S. d'Avila Garcez; Luís C. Lamb; Krysia Broda; Dov M. Gabbay (Int. J. Artif. Intell. Tools, 2004)

A Revista de Informática Teórica e Aplicada e as Tecnologias de Informação. - José Palazzo M. de Oliveira; Luís C. Lamb (RITA, 2004)

Neural-Symbolic Systems and the Case for Non-Classical Reasoning. - Artur S. d'Avila Garcez; Luís C. Lamb (We Will Show Them! (1), 2005)

On the Evolution of Memory Size in the Minority Game (extended abstract). - Ricardo Matsumura de Araújo; Luís C. Lamb (IJCAI, 2005)

Cognitive Modelling of Event Ordering Reasoning in Imagistic Domains. - Laura S. Mastella; Mara Abel; Luís C. Lamb; Luis Fernando De Ros (IJCAI, 2005)

A Connectionist Model for Constructive Modal Reasoning. - Artur S. d'Avila Garcez; Luís C. Lamb; Dov M. Gabbay (NIPS, 2005)

Value-based Argumentation Frameworks as Neural-symbolic Learning Systems. - Artur S. d'Avila Garcez; Dov M. Gabbay; Luís C. Lamb (J. Log. Comput., 2005)

Combining Architectures for Temporal Learning in Neural-Symbolic Systems. - Rafael V. Borges; Luís C. Lamb; Artur S. d'Avila Garcez (HIS, 2006)

A Connectionist Computational Model for Epistemic and Temporal Reasoning. - Artur S. d'Avila Garcez; Luís C. Lamb (Neural Comput., 2006)

Editorial. - Luís C. Lamb; José Palazzo M. de Oliveira (RITA, 2006)

Connectionist computations of intuitionistic reasoning. - Artur S. d'Avila Garcez; Luís C. Lamb; Dov M. Gabbay (Theor. Comput. Sci., 2006)

A Connectionist Cognitive Model for Temporal Synchronisation and Learning. - Luís C. Lamb; Rafael V. Borges; Artur S. d'Avila Garcez (AAAI, 2007)

An Information-Theoretic Analysis of Memory Bounds in a Distributed Resource Allocation Mechanism. - Ricardo M. Araújo; Luís C. Lamb (IJCAI, 2007)

Towards Reasoning about the Past in Neural-symbolic Systems. - Rafael V. Borges; Luís C. Lamb; Artur S. d'Avila Garcez (NeSy, 2007)

Reasoning and Learning About Past Temporal Knowledge in Connectionist Models. - Rafael V. Borges; Luís C. Lamb; Artur S. d'Avila Garcez (IJCNN, 2007)

Analysis of the use of declarative languages for enhanced embedded system software development. - Emilena Specht; Ricardo Miotto Redin; Luigi Carro; Luís da Cunha Lamb; Érika F. Cota; Flávio Rech Wagner (SBCCI, 2007)

Connectionist modal logic: Representing modalities in neural networks. - Artur S. d'Avila Garcez; Luís C. Lamb; Dov M. Gabbay (Theor. Comput. Sci., 2007)

Memetic Networks: Analyzing the Effects of Network Properties in Multi-Agent Performance. - Ricardo M. Araújo; Luís C. Lamb (AAAI, 2008)

The Grand Challenges and Myths of Neural-Symbolic Computation. - Luís C. Lamb (Recurrent Neural Networks, 2008)

Using UML as Front-end for Heterogeneous Software Code Generation Strategies. - Lisane B. de Brisolara; Marcio Ferreira da Silva Oliveira; Ricardo Miotto Redin; Luís C. Lamb; Luigi Carro; Flávio Rech Wagner (DATE, 2008)

On the Role of Structured Information Exchange in Supervised Learning. - Ricardo M. Araújo; Luís C. Lamb (ECAI, 2008)

Distributed problem solving by memetic networks: extended abstract. - Ricardo M. Araújo; Luís C. Lamb (GECCO, 2008)

On the Effects of Network Structure in Population-Based Optimization. - Ricardo M. Araújo; Luís C. Lamb (ICTAI (1), 2008)

On the Use of Software Quality Metrics to Improve Physical Properties of Embedded Systems. - Ricardo Miotto Redin; Marcio Ferreira da Silva Oliveira; Lisane B. de Brisolara; Júlio C. B. de Mattos; Luís C. Lamb; Flávio Rech Wagner; Luigi Carro (DIPES, 2008)

Software Quality Metrics and their Impact on Embedded Software. - Marcio Ferreira da Silva Oliveira; Ricardo Miotto Redin; Luigi Carro; Luís da Cunha Lamb; Flávio Rech Wagner (MOMPES, 2008)

A Hierarchical Model for Firewall Policy Extraction. - Eduardo Horowitz; Luís C. Lamb (AINA, 2009)

Model-based Methodologies for Pervasive and Embedded Software. - João M. Fernandes 001; Ricardo Jorge Machado 001; Luís C. Lamb; Flávio Rech Wagner (ICSE Companion, 2009)

Recent advances in model-based methodologies for pervasive and embedded software. - João M. Fernandes 001; Luís C. Lamb; Ricardo Jorge Machado 001; Flávio Rech Wagner (ACM SIGSOFT Softw. Eng. Notes, 2009)

On the use of memory and resources in minority games. - Ricardo Matsumura de Araújo; Luís C. Lamb (ACM Trans. Auton. Adapt. Syst., 2009)

Neural-Symbolic Cognitive Reasoning - Artur S. d'Avila Garcez; Luís C. Lamb; Dov M. Gabbay (Springer, 2009)

Towards Estimating Physical Properties of Embedded Systems using Software Quality Metrics. - Ulisses Brisolara Corrêa; Luís C. Lamb; Luigi Carro; Lisane B. de Brisolara; Júlio C. B. de Mattos (CIT, 2010)

Combining Human Reasoning and Machine Computation: Towards a Memetic Network Solution to Satisfiability. - Daniel S. Farenzena; Luís C. Lamb; Ricardo M. Araújo (AAAI, 2010)

Representing, Learning and Extracting Temporal Knowledge from Neural Networks: A Case Study. - Rafael V. Borges; Artur S. d'Avila Garcez; Luís C. Lamb (ICANN (2), 2010)

Integrating model verification and self-adaptation. - Rafael V. Borges; Artur S. d'Avila Garcez; Luís C. Lamb (ASE, 2010)

Reports of the AAAI 2010 Conference Workshops. - David W. Aha; Mark S. Boddy; Vadim Bulitko; Artur S. d'Avila Garcez; Prashant Doshi; Stefan Edelkamp; Christopher W. Geib; Piotr J. Gmytrasiewicz; Robert P. Goldman; Pascal Hitzler; Charles L. Isbell Jr.; Darsana P. Josyula; et al. (AI Mag., 2010)

A hybrid genetic algorithm for the 3-D protein structure prediction problem using a path-relinking strategy. - Márcio Dorn; Luciana S. Buriol; Luís C. Lamb (IEEE Congress on Evolutionary Computation, 2011)

Neural-Symbolic Cognitive Agents: Architecture and Theory. - Leo de Penning; Artur S. d'Avila Garcez; Luís C. Lamb; John-Jules Ch. Meyer (ICCSW, 2011)

Learning to adapt requirements specifications of evolving systems. - Rafael V. Borges; Artur S. d'Avila Garcez; Luís C. Lamb; Bashar Nuseibeh (ICSE, 2011)

Formalizing traceability relations for product lines. - Luís C. Lamb; Waraporn Jirapanthong; Andrea Zisman (EFSE@ICSE, 2011)

Combining Machine Learning and Optimization Techniques to Determine 3-D Structures of Polypeptides. - Márcio Dorn; Luciana S. Buriol; Luís C. Lamb (IJCAI, 2011)

Towards Social Problem-Solving with Human Subjects. - Daniel S. Farenzena; Ricardo M. Araújo; Luís C. Lamb (IJCAI, 2011)

A Neural-Symbolic Cognitive Agent for Online Learning and Reasoning. - Leo de Penning; Artur S. d'Avila Garcez; Luís C. Lamb; John-Jules Ch. Meyer (IJCAI, 2011)

Two Novel Algorithms for High Quality Motion Estimation in High Definition Video Sequences. - Diego Noble; Marcelo Schiavon Porto; Luciano Volcan Agostini; Ricardo Matsumura de Araújo; Luís C. Lamb (SIBGRAPI, 2011)

Collaboration Emergence in Social Networks with Informational Natural Selection. - Daniel S. Farenzena; Ricardo M. Araújo; Luís C. Lamb (SocialCom/PASSAT, 2011)

Learning and Representing Temporal Knowledge in Recurrent Networks. - Rafael V. Borges; Artur S. d'Avila Garcez; Luís C. Lamb (IEEE Trans. Neural Networks, 2011)

Modeling Adaptative Social Behavior in Collective Problem Solving Algorithms. - Diego Noble; Luís C. Lamb; Ricardo Matsumura de Araújo (SASO, 2012)

Reports of the AAAI 2012 Conference Workshops. - Vikas Agrawal; Jorge A. Baier; Kostas E. Bekris; Yiling Chen 001; Artur S. d'Avila Garcez; Pascal Hitzler; Patrik Haslum; Dietmar Jannach; Edith Law; Freddy Lécué; Luís C. Lamb; Cynthia Matuszek; et al. (AI Mag., 2012)

Investigating a Socially Inspired Heterogeneous System of Problem Solving Agents. - Diego Noble; Luís C. Lamb; Ricardo M. Araújo (AINA, 2013)

Leveraging Collaboration: A Methodology for the Design of Social Problem-Solving Systems. - Lucas M. Tabajara; Marcelo O. R. Prates; Diego Noble; Luís C. Lamb (HCOMP, 2013)

A simple non-Markovian computational model of the statistics of soccer leagues: Emergence and scaling effects. - Roberto da Silva; Mendeli H. Vainstein; Luís C. Lamb; Sandra D. Prado (Comput. Phys. Commun., 2013)

A cluster-DEE-based strategy to empower protein design. - Rafael K. de Andrades; Márcio Dorn; Daniel S. Farenzena; Luís C. Lamb (Expert Syst. Appl., 2013)

A molecular dynamics and knowledge-based computational strategy to predict native-like structures of polypeptides. - Márcio Dorn; Luciana S. Buriol; Luís C. Lamb (Expert Syst. Appl., 2013)

Neural-symbolic cognitive agents: architecture, theory and application. - Leo de Penning; Artur S. d'Avila Garcez; Luís C. Lamb; John-Jules Ch. Meyer (AAMAS, 2014)

Applying Neural-Symbolic Cognitive Agents in Intelligent Transport Systems to reduce CO2 emissions. - Leo de Penning; Artur S. d'Avila Garcez; Luís C. Lamb; Arjan Stuiver; John-Jules Ch. Meyer (IJCNN, 2014)

Three-dimensional protein structure prediction: Methods and computational strategies. - Márcio Dorn; Mariel Barbachan e Silva; Luciana S. Buriol; Luís C. Lamb (Comput. Biol. Chem., 2014)

Neural-Symbolic Learning and Reasoning (Dagstuhl Seminar 14381). - Artur S. d'Avila Garcez; Marco Gori; Pascal Hitzler; Luís C. Lamb (Dagstuhl Reports, 2014)

A neural cognitive model of argumentation with application to legal inference and decision making. - Artur S. d'Avila Garcez; Dov M. Gabbay; Luís C. Lamb (J. Appl. Log., 2014)

MOIRAE: A computational strategy to extract and represent structural information from experimental protein templates. - Márcio Dorn; Luciana S. Buriol; Luís C. Lamb (Soft Comput., 2014)

Collaboration in Social Problem-Solving: When Diversity Trumps Network Efficiency. - Diego Noble; Marcelo O. R. Prates; Daniel Bossle; Luís C. Lamb (AAAI, 2015)

Neural-Symbolic Learning and Reasoning: Contributions and Challenges. - Artur S. d'Avila Garcez; Tarek R. Besold; Luc De Raedt; Peter Földiák; Pascal Hitzler; Thomas Icard; Kai-Uwe Kühnberger; Luís C. Lamb; Risto Miikkulainen; Daniel L. Silver (AAAI Spring Symposia, 2015)

The Impact of Centrality on Individual and Collective Performance in Social Problem-Solving Systems. - Diego Vrague Noble; Felipe Grando; Ricardo Matsumura de Araújo; Luís da Cunha Lamb (GECCO, 2015)

Estimating complex networks centrality via neural networks and machine learning. - Felipe Grando; Luís C. Lamb (IJCNN, 2015)

On the role of degree influence in suboptimal modularity maximization. - Rafael de Santiago; Luís C. Lamb (CEC, 2016)

Efficient Stochastic Local Search for Modularity Maximization. - Rafael de Santiago; Luís C. Lamb (GECCO (Companion), 2016)

An Analysis of Centrality Measures for Complex and Social Networks. - Felipe Grando; Diego Noble; Luís C. Lamb (GLOBECOM, 2016)

A New Model and Heuristic for Infection Minimization by Cutting Relationships. - Rafael de Santiago; Wellington Zunino; Fernando Concatto; Luís C. Lamb (ICONIP (2), 2016)

On approximating networks centrality measures via neural learning algorithms. - Felipe Grando; Luís C. Lamb (IJCNN, 2016)

Randomness and arbitrary coordination in the reactive ultimatum game. - Roberto da Silva; Pablo Valverde; Luís C. Lamb (Commun. Nonlinear Sci. Numer. Simul., 2016)

The cost of search and evaluation in online problem-solving social networks with financial and non-financial incentives. - Daniel Scain Farenzena; Luís da Cunha Lamb; Ricardo Matsumura de Araújo (First Monday, 2016)

Novel Clique enumeration heuristic for detecting overlapping clusters. - Rafael Schmitt; Pedro Ramos; Rafael de Santiago; Luís C. Lamb (CEC, 2017)

Genetic algorithm for epidemic mitigation by removing relationships. - Fernando Concatto; Wellington Zunino; Luigi A. Giancoli; Rafael de Santiago; Luís C. Lamb (GECCO, 2017)

Efficient quantitative heuristics for graph clustering. - Rafael de Santiago; Luís C. Lamb (GECCO (Companion), 2017)

Exact computational solution of Modularity Density Maximization by effective column generation. - Rafael de Santiago; Luís C. Lamb (Comput. Oper. Res., 2017)

Neural-Symbolic Learning and Reasoning: A Survey and Interpretation. - Tarek R. Besold; Artur S. d'Avila Garcez; Sebastian Bader 001; Howard Bowman; Pedro M. Domingos; Pascal Hitzler; Kai-Uwe Kühnberger; Luís C. Lamb; Daniel Lowd; Priscila Machado Vieira Lima; Leo de Penning; Gadi Pinkas; et al. (CoRR, 2017)

Human-Like Neural-Symbolic Computing (Dagstuhl Seminar 17192). - Tarek R. Besold; Artur S. d'Avila Garcez; Luís C. Lamb (Dagstuhl Reports, 2017)

Efficient modularity density heuristics for large graphs. - Rafael de Santiago; Luís C. Lamb (Eur. J. Oper. Res., 2017)

Novel Parallel Anytime A* for Graph and Network Clustering. - Rudson Francisco Da Silva Mendes; Rafael de Santiago; Luís C. Lamb (CEC, 2018)

On Quantifying and Understanding the Role of Ethics in AI Research: A Historical Account of Flagship Conferences and Journals. - Marcelo O. R. Prates; Pedro H. C. Avelar; Luís C. Lamb (GCAI, 2018)

Neural Networks Models for Analyzing Magic: The Gathering Cards. - Felipe Zilio; Marcelo O. R. Prates; Luís C. Lamb (ICONIP (2), 2018)

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; Luís C. Lamb (ICTAI, 2018)

Problem Solving at the Edge of Chaos: Entropy, Puzzles and the Sudoku Freezing Transition. - Marcelo O. R. Prates; Luís C. Lamb (ICTAI, 2018)

Computing Vertex Centrality Measures in Massive Real Networks with a Neural Learning Model. - Felipe Grando; Luís C. Lamb (IJCNN, 2018)

On the Effectiveness of the Block Two-Level Erdős-Rényi Generative Network Model. - Felipe Grando; Luís C. Lamb (ISCC, 2018)

Learning to Solve NP-Complete Problems: A Graph Neural Network for Decision TSP. - Marcelo O. R. Prates; Pedro H. C. Avelar; Henrique Lemos 001; Luís C. Lamb; Moshe Y. Vardi (AAAI, 2019)

On the Role of Central Individuals in Influence Propagation. - Rafael de Santiago; Fernando Concatto; Luís C. Lamb (ICAART (2), 2019)

Multitask Learning on Graph Neural Networks: Learning Multiple Graph Centrality Measures with a Unified Network. - Pedro H. C. Avelar; Henrique Lemos 001; Marcelo O. R. Prates; Luís da Cunha Lamb (ICANN (Workshop), 2019)

Graph Colouring Meets Deep Learning: Effective Graph Neural Network Models for Combinatorial Problems. - Henrique Lemos 001; Marcelo O. R. Prates; Pedro H. C. Avelar; Luís C. Lamb (ICTAI, 2019)

Typed Graph Networks. - Pedro H. C. Avelar; Henrique Lemos 001; Marcelo O. R. Prates; Marco Gori; Luís C. Lamb (CoRR, 2019)

Machine Learning in Network Centrality Measures: Tutorial and Outlook. - Felipe Grando; Lisandro Zambenedetti Granville; Luís C. Lamb (ACM Comput. Surv., 2019)

Neural-symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning. - Artur S. d'Avila Garcez; Marco Gori; Luís C. Lamb; Luciano Serafini; Michael Spranger; Son N. Tran (FLAP, 2019)

Exact Signed Modularity Density Maximization Solutions and Their Real Meaning*. - Rafael de Santiago; Luís C. Lamb (CEC, 2020)

Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases. - Henrique Lemos 001; Pedro H. C. Avelar; Marcelo O. R. Prates; Artur S. d'Avila Garcez; Luís C. Lamb (ICANN (1), 2020)

Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective. - Luís C. Lamb; Artur S. d'Avila Garcez; Marco Gori; Marcelo O. R. Prates; Pedro H. C. Avelar; Moshe Y. Vardi (IJCAI, 2020)

Superpixel Image Classification with Graph Attention Networks. - Pedro H. C. Avelar; Anderson R. Tavares; Thiago L. T. da Silveira; Cláudio R. Jung; Luís C. Lamb (SIBGRAPI, 2020)

A ground truth contest between modularity maximization and modularity density maximization. - Rafael de Santiago; Luís C. Lamb (Artif. Intell. Rev., 2020)

A Reactive-Darwinian Model for the ultimatum game: On the dominance of moderation in high diffusion. - Roberto da Silva; Pablo Valverde; Luís C. Lamb (Commun. Nonlinear Sci. Numer. Simul., 2020)

Understanding Boolean Function Learnability on Deep Neural Networks. - Anderson R. Tavares; Pedro H. C. Avelar; João M. Flach; Márcio Nicolau; Luís C. Lamb; Moshe Y. Vardi (CoRR, 2020)

Assessing gender bias in machine translation: a case study with Google Translate. - Marcelo O. R. Prates; Pedro H. C. Avelar; Luís C. Lamb (Neural Comput. Appl., 2020)

Graph-Based Neural Modules to Inspect Attention-Based Architectures, A Position Paper. - Breno W. Carvalho; Artur S. d'Avila Garcez; Luís C. Lamb (TFSOCTAI@AAAI Fall Symposium, 2021)

Discrete and Continuous Deep Residual Learning over Graphs. - Pedro H. C. Avelar; Anderson R. Tavares; Marco Gori; Luís C. Lamb (ICAART (2), 2021)

Keynote: Neurosymbolic AI: An Overview. - Luís C. Lamb (MLSMKG@PKDD/ECML, 2021)

Measuring Ethics in AI with AI: A Methodology and Dataset Construction. - Pedro H. C. Avelar; Rafael Baldasso Audibert; Anderson R. Tavares; Luís C. Lamb (CoRR, 2021)

Neural-Symbolic Learning and Reasoning: A Survey and Interpretation. - Tarek R. Besold; Artur S. d'Avila Garcez; Sebastian Bader 001; Howard Bowman; Pedro M. Domingos; Pascal Hitzler; Kai-Uwe Kühnberger; Luís C. Lamb; Priscila Machado Vieira Lima; Leo de Penning; Gadi Pinkas; Hoifung Poon; et al. (Neuro-Symbolic Artificial Intelligence, 2021)

Measuring Ethics in AI with AI: A Methodology and Dataset Construction. - Pedro H. C. Avelar; Rafael Baldasso Audibert; Luís C. Lamb (BRACIS (1), 2022)

On the Evolution of A.I. and Machine Learning: Towards Measuring and Understanding Impact, Influence, and Leadership at Premier A.I. Conferences. - Rafael Baldasso Audibert; Henrique Lemos dos Santos; Pedro H. C. Avelar; Anderson R. Tavares; Luís C. Lamb (CoRR, 2022)

"A Nova Eletricidade": Aplicações, Riscos e Tendências da IA Moderna. - Ana L. C. Bazzan; Anderson R. Tavares; André G. Pereira; Cláudio R. Jung; Jacob Scharcanski; Joel Luís Carbonera; Luís C. Lamb; Mariana Recamonde Mendoza; Thiago L. T. da Silveira; Viviane P. Moreira (Escola de Computação PPGC/UFRGS 50 Anos, 2023)

Graph Neural Networks with No Supervision and Heuristics for the Kidney-Exchange Problem. - Pedro Foletto Pimenta; Pedro H. C. Avelar; Luís C. Lamb (ICTAI, 2023)

Ontology for Healthcare Artificial Intelligence Privacy in Brazil. - Tiago Andres Vaz; José Miguel Silva Dora; Luís da Cunha Lamb; Suzi Alves Camey (CoRR, 2023)

A Neural Lambda Calculus: Neurosymbolic AI meets the foundations of computing and functional programming. - João M. Flach; Luís C. Lamb (CoRR, 2023)

"A Nova Eletricidade: Aplicações, Riscos e Tendências da IA Moderna - "The New Electricity": Applications, Risks, and Trends in Current AI. - Ana L. C. Bazzan; Anderson R. Tavares; André G. Pereira; Cláudio R. Jung; Jacob Scharcanski; Joel Luis Carbonera; Luís C. Lamb; Mariana Recamonde Mendoza; Thiago L. T. da Silveira; Viviane P. Moreira (CoRR, 2023)

On the Evolution of AI and Machine Learning: Towards a Meta-level Measuring and understanding Impact, Influence and Leadership at Premier AI Conferences. - Rafael Baldasso Audibert; Henrique Lemos 001; Pedro H. C. Avelar; Anderson R. Tavares; Luís C. Lamb (FLAP, 2023)

Neurosymbolic AI: the 3rd wave. - Artur d'Avila Garcez; Luís C. Lamb (Artif. Intell. Rev., 2023)

Ontology for Healthcare AI Privacy in Brazil. - Tiago Andres Vaz; José Miguel Silva Dora; Luís da Cunha Lamb; Suzi Alves Camey (RITA, 2024)

Solving the kidney exchange problem via graph neural networks with no supervision. - Pedro Foletto Pimenta; Pedro H. C. Avelar; Luís C. Lamb (Neural Comput. Appl., 2024)

Grokking Explained: A Statistical Phenomenon. - Breno W. Carvalho; Artur S. d'Avila Garcez; Luís C. Lamb; Emilio Vital Brazil (CoRR, 2025)