Luís C. Lamb

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 65

Top Venues

Publications

Pedro Foletto Pimenta, Pedro H. C. Avelar, Luís C. Lamb
Solving the kidney exchange problem via graph neural networks with no supervision. Neural Comput. Appl. 36 (25) (2024)
Pedro Foletto Pimenta, Pedro H. C. Avelar, Luís C. Lamb
Solving the Kidney-Exchange Problem via Graph Neural Networks with No Supervision. CoRR (2023)
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
"A Nova Eletricidade: Aplicações, Riscos e Tendências da IA Moderna - "The New Electricity": Applications, Risks, and Trends in Current AI. CoRR (2023)
Artur d'Avila Garcez, Luís C. Lamb
Neurosymbolic AI: the 3rd wave. Artif. Intell. Rev. 56 (11) (2023)
João M. Flach, Luís C. Lamb
A Neural Lambda Calculus: Neurosymbolic AI meets the foundations of computing and functional programming. CoRR (2023)
Pedro Foletto Pimenta, Pedro H. C. Avelar, Luís C. Lamb
Graph Neural Networks with No Supervision and Heuristics for the Kidney-Exchange Problem. ICTAI (2023)
Rafael Baldasso Audibert, Henrique Lemos, Pedro H. C. Avelar, Anderson R. Tavares, Luís C. Lamb
On the Evolution of AI and Machine Learning: Towards a Meta-level Measuring and understanding Impact, Influence and Leadership at Premier AI Conferences. FLAP 10 (5) (2023)
Breno W. Carvalho, Artur D'Avilla Garcez, Luís C. Lamb
Graph-based Neural Modules to Inspect Attention-based Architectures: A Position Paper. CoRR (2022)
Pedro H. C. Avelar, Rafael Baldasso Audibert, Luís C. Lamb
Measuring Ethics in AI with AI: A Methodology and Dataset Construction. BRACIS (1) (2022)
Rafael B. Audibert, Henrique Lemos dos Santos, Pedro H. C. Avelar, Anderson R. Tavares, Luís C. Lamb
On the Evolution of A.I. and Machine Learning: Towards Measuring and Understanding Impact, Influence, and Leadership at Premier A.I. Conferences. CoRR (2022)
Pedro H. C. Avelar, Anderson R. Tavares, Marco Gori, Luís C. Lamb
Discrete and Continuous Deep Residual Learning over Graphs. ICAART (2) (2021)
Luís C. Lamb
Keynote: Neurosymbolic AI: An Overview. MLSMKG@PKDD/ECML (2021)
Pedro H. C. Avelar, Rafael B. Audibert, Anderson R. Tavares, Luís C. Lamb
Measuring Ethics in AI with AI: A Methodology and Dataset Construction. CoRR (2021)
Breno W. Carvalho, Artur S. d'Avila Garcez, Luís C. Lamb
Graph-Based Neural Modules to Inspect Attention-Based Architectures, A Position Paper. TFSOCTAI@AAAI Fall Symposium (2021)
Luís C. Lamb, Artur S. d'Avila Garcez, Marco Gori, Marcelo O. R. Prates, Pedro H. C. Avelar, Moshe Y. Vardi
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective. CoRR (2020)
Rafael de Santiago, Luís C. Lamb
. CEC (2020)
Pedro H. C. Avelar, Anderson R. Tavares, Thiago L. T. da Silveira, Cláudio R. Jung, Luís C. Lamb
Superpixel Image Classification with Graph Attention Networks. SIBGRAPI (2020)
Pedro H. C. Avelar, Anderson R. Tavares, Thiago L. T. da Silveira, Cláudio R. Jung, Luís C. Lamb
Superpixel Image Classification with Graph Attention Networks. CoRR (2020)
Henrique Lemos, Pedro H. C. Avelar, Marcelo O. R. Prates, Luís C. Lamb, Artur S. d'Avila Garcez
Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases. CoRR (2020)
Luís C. Lamb, Artur S. d'Avila Garcez, Marco Gori, Marcelo O. R. Prates, Pedro H. C. Avelar, Moshe Y. Vardi
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective. IJCAI (2020)
Marcelo O. R. Prates, Pedro H. C. Avelar, Luís C. Lamb
Assessing gender bias in machine translation: a case study with Google Translate. Neural Comput. Appl. 32 (10) (2020)
Roberto da Silva, Pablo Valverde, Luís C. Lamb
A Reactive-Darwinian Model for the ultimatum game: On the dominance of moderation in high diffusion. Commun. Nonlinear Sci. Numer. Simul. 80 (2020)
Artur d'Avila Garcez, Luís C. Lamb
Neurosymbolic AI: The 3rd Wave. CoRR (2020)
Henrique Lemos, Pedro H. C. Avelar, Marcelo O. R. Prates, Artur d'Avila Garcez, Luís C. Lamb
Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases. ICANN (1) (2020)
Rafael de Santiago, Luís C. Lamb
A ground truth contest between modularity maximization and modularity density maximization. Artif. Intell. Rev. 53 (6) (2020)
Anderson R. Tavares, Pedro H. C. Avelar, João M. Flach, Marcio Nicolau, Luís C. Lamb, Moshe Y. Vardi
Understanding Boolean Function Learnability on Deep Neural Networks. CoRR (2020)
Marcelo O. R. Prates, Pedro H. C. Avelar, Henrique Lemos, Luís C. Lamb, Moshe Y. Vardi
Learning to Solve NP-Complete Problems: A Graph Neural Network for Decision TSP. AAAI (2019)
Pedro H. C. Avelar, Anderson R. Tavares, Marco Gori, Luís C. Lamb
Discrete and Continuous Deep Residual Learning Over Graphs. CoRR (2019)
Artur S. d'Avila Garcez, Marco Gori, Luís C. Lamb, Luciano Serafini, Michael Spranger, Son N. Tran
Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning. CoRR (2019)
Henrique Lemos, Marcelo O. R. Prates, Pedro H. C. Avelar, Luís C. Lamb
Graph Colouring Meets Deep Learning: Effective Graph Neural Network Models for Combinatorial Problems. ICTAI (2019)
Rafael de Santiago, Fernando Concatto, Luís C. Lamb
On the Role of Central Individuals in Influence Propagation. ICAART (2) (2019)
Henrique Lemos, Marcelo O. R. Prates, Pedro H. C. Avelar, Luís C. Lamb
Graph Colouring Meets Deep Learning: Effective Graph Neural Network Models for Combinatorial Problems. CoRR (2019)
Artur S. d'Avila Garcez, Marco Gori, Luís C. Lamb, Luciano Serafini, Michael Spranger, Son N. Tran
Neural-symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning. FLAP 6 (4) (2019)
Felipe Grando, Lisandro Zambenedetti Granville, Luís C. Lamb
Machine Learning in Network Centrality Measures: Tutorial and Outlook. ACM Comput. Surv. 51 (5) (2019)
Pedro H. C. Avelar, Henrique Lemos, Marcelo O. R. Prates, Marco Gori, Luís C. Lamb
Typed Graph Networks. CoRR (2019)
Rudson Francisco Da Silva Mendes, Rafael de Santiago, Luís C. Lamb
Novel Parallel Anytime A* for Graph and Network Clustering. CEC (2018)
Pedro H. C. Avelar, Henrique Lemos, Marcelo O. R. Prates, Luís C. Lamb
Multitask Learning on Graph Neural Networks - Learning Multiple Graph Centrality Measures with a Unified Network. CoRR (2018)
Felipe Zilio, Marcelo O. R. Prates, Luís C. Lamb
Neural Networks Models for Analyzing Magic: the Gathering Cards. CoRR (2018)
Felipe Grando, Luís C. Lamb
Computing Vertex Centrality Measures in Massive Real Networks with a Neural Learning Model. CoRR (2018)
Felipe Grando, Diego Noble, Luís C. Lamb
An Analysis of Centrality Measures for Complex and Social Networks. CoRR (2018)
Felipe Zilio, Marcelo O. R. Prates, Luís C. Lamb
Neural Networks Models for Analyzing Magic: The Gathering Cards. ICONIP (2) (2018)
Felipe Grando, Luís C. Lamb
Computing Vertex Centrality Measures in Massive Real Networks with a Neural Learning Model. IJCNN (2018)
Marcelo O. R. Prates, Luís C. Lamb
Problem Solving at the Edge of Chaos: Entropy, Puzzles and the Sudoku Freezing Transition. CoRR (2018)
Marcelo O. R. Prates, Pedro H. C. Avelar, Luís C. Lamb
On Quantifying and Understanding the Role of Ethics in AI Research: A Historical Account of Flagship Conferences and Journals. CoRR (2018)
Willian Heitor Martins, Lucia Helena Souza Alves de Santiago, Rafael de Santiago, Luís C. Lamb
Effective Ant Colony Optimization Solution for the Brazilian Family Health Team Scheduling Problem. ICTAI (2018)
Marcelo O. R. Prates, Pedro H. C. Avelar, Luís C. Lamb
Assessing Gender Bias in Machine Translation - A Case Study with Google Translate. CoRR (2018)
Marcelo O. R. Prates, Pedro H. C. Avelar, Henrique Lemos, Luís C. Lamb, Moshe Y. Vardi
Learning to Solve NP-Complete Problems - A Graph Neural Network for the Decision TSP. CoRR (2018)
Felipe Grando, Luís C. Lamb
On the Effectiveness of the Block Two-Level Erdős-Rényi Generative Network Model. ISCC (2018)
Felipe Grando, Lisandro Zambenedetti Granville, Luís C. Lamb
Machine Learning in Network Centrality Measures: Tutorial and Outlook. CoRR (2018)
Marcelo O. R. Prates, Pedro H. C. Avelar, Luís C. Lamb
On Quantifying and Understanding the Role of Ethics in AI Research: A Historical Account of Flagship Conferences and Journals. GCAI (2018)
Marcelo O. R. Prates, Luís C. Lamb
Problem Solving at the Edge of Chaos: Entropy, Puzzles and the Sudoku Freezing Transition. ICTAI (2018)
Fernando Concatto, Wellington Zunino, Luigi A. Giancoli, Rafael de Santiago, Luís C. Lamb
Genetic Algorithm for Epidemic Mitigation by Removing Relationships. CoRR (2017)
Rafael de Santiago, Luís C. Lamb
Efficient modularity density heuristics for large graphs. Eur. J. Oper. Res. 258 (3) (2017)
Rafael de Santiago, Luís C. Lamb
Exact computational solution of Modularity Density Maximization by effective column generation. Comput. Oper. Res. 86 (2017)
Tarek R. Besold, Artur S. d'Avila Garcez, Luís C. Lamb
Human-Like Neural-Symbolic Computing (Dagstuhl Seminar 17192). Dagstuhl Reports 7 (5) (2017)
Rafael Schmitt, Pedro Ramos, Rafael de Santiago, Luís C. Lamb
Novel Clique enumeration heuristic for detecting overlapping clusters. CEC (2017)
Rafael de Santiago, Luís C. Lamb
Efficient quantitative heuristics for graph clustering. GECCO (Companion) (2017)
Fernando Concatto, Wellington Zunino, Luigi A. Giancoli, Rafael de Santiago, Luís C. Lamb
Genetic algorithm for epidemic mitigation by removing relationships. GECCO (2017)
Tarek R. Besold, Artur S. d'Avila Garcez, Sebastian Bader, Howard Bowman, Pedro M. Domingos, Pascal Hitzler, Kai-Uwe Kühnberger, Luís C. Lamb, Daniel Lowd, Priscila Machado Vieira Lima, Leo de Penning, Gadi Pinkas, Hoifung Poon, Gerson Zaverucha
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation. CoRR (2017)
Rafael de Santiago, Wellington Zunino, Fernando Concatto, Luís C. Lamb
A New Model and Heuristic for Infection Minimization by Cutting Relationships. ICONIP (2) (2016)
Rafael de Santiago, Luís C. Lamb
On the role of degree influence in suboptimal modularity maximization. CEC (2016)
Felipe Grando, Luís C. Lamb
On approximating networks centrality measures via neural learning algorithms. IJCNN (2016)
Rafael de Santiago, Luís C. Lamb
Efficient Stochastic Local Search for Modularity Maximization. GECCO (Companion) (2016)
Roberto da Silva, Pablo Valverde, Luís C. Lamb
Randomness and arbitrary coordination in the reactive ultimatum game. Commun. Nonlinear Sci. Numer. Simul. 36 (2016)
Felipe Grando, Diego Noble, Luís C. Lamb
An Analysis of Centrality Measures for Complex and Social Networks. GLOBECOM (2016)
Felipe Grando, Luís C. Lamb
Estimating complex networks centrality via neural networks and machine learning. IJCNN (2015)
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
Neural-Symbolic Learning and Reasoning: Contributions and Challenges. AAAI Spring Symposia (2015)
Diego Noble, Marcelo O. R. Prates, Daniel Bossle, Luís C. Lamb
Collaboration in Social Problem-Solving: When Diversity Trumps Network Efficiency. AAAI (2015)
Leo de Penning, Artur S. d'Avila Garcez, Luís C. Lamb, Arjan Stuiver, John-Jules Ch. Meyer
Applying Neural-Symbolic Cognitive Agents in Intelligent Transport Systems to reduce CO2 emissions. IJCNN (2014)
Artur S. d'Avila Garcez, Marco Gori, Pascal Hitzler, Luís C. Lamb
Neural-Symbolic Learning and Reasoning (Dagstuhl Seminar 14381). Dagstuhl Reports 4 (9) (2014)
Márcio Dorn, Luciana S. Buriol, Luís C. Lamb
MOIRAE: A computational strategy to extract and represent structural information from experimental protein templates. Soft Comput. 18 (4) (2014)
Leo de Penning, Artur S. d'Avila Garcez, Luís C. Lamb, John-Jules Ch. Meyer
Neural-symbolic cognitive agents: architecture, theory and application. AAMAS (2014)
Artur S. d'Avila Garcez, Dov M. Gabbay, Luís C. Lamb
A neural cognitive model of argumentation with application to legal inference and decision making. J. Appl. Log. 12 (2) (2014)
Márcio Dorn, Mariel Barbachan e Silva, Luciana S. Buriol, Luís C. Lamb
Three-dimensional protein structure prediction: Methods and computational strategies. Comput. Biol. Chem. 53 (2014)
Lucas M. Tabajara, Marcelo O. R. Prates, Diego Noble, Luís C. Lamb
Leveraging Collaboration: A Methodology for the Design of Social Problem-Solving Systems. HCOMP (2013)
Roberto da Silva, Mendeli H. Vainstein, Luís C. Lamb, Sandra D. Prado
A simple non-Markovian computational model of the statistics of soccer leagues: Emergence and scaling effects. Comput. Phys. Commun. 184 (3) (2013)
Diego Noble, Luís C. Lamb, Ricardo M. Araujo
Investigating a Socially Inspired Heterogeneous System of Problem Solving Agents. AINA (2013)
Rafael K. de Andrades, Márcio Dorn, Daniel S. Farenzena, Luís C. Lamb
A cluster-DEE-based strategy to empower protein design. Expert Syst. Appl. 40 (13) (2013)
Márcio Dorn, Luciana S. Buriol, Luís C. Lamb
A molecular dynamics and knowledge-based computational strategy to predict native-like structures of polypeptides. Expert Syst. Appl. 40 (2) (2013)
Diego Noble, Luís C. Lamb, Ricardo Matsumura de Araújo
Modeling Adaptative Social Behavior in Collective Problem Solving Algorithms. SASO (2012)
Vikas Agrawal, Jorge A. Baier, Kostas E. Bekris, Yiling Chen, Artur S. d'Avila Garcez, Pascal Hitzler, Patrik Haslum, Dietmar Jannach, Edith Law, Freddy Lécué, Luís C. Lamb, Cynthia Matuszek, Héctor Palacios, Biplav Srivastava, Lokendra Shastri, Nathan R. Sturtevant, Roni Stern, Stefanie Tellex, Stavros Vassos
Reports of the AAAI 2012 Conference Workshops. AI Mag. 33 (4) (2012)
Luís C. Lamb, Waraporn Jirapanthong, Andrea Zisman
Formalizing traceability relations for product lines. EFSE@ICSE (2011)
Márcio Dorn, Luciana S. Buriol, Luís C. Lamb
A hybrid genetic algorithm for the 3-D protein structure prediction problem using a path-relinking strategy. IEEE Congress on Evolutionary Computation (2011)
Leo de Penning, Artur S. d'Avila Garcez, Luís C. Lamb, John-Jules Ch. Meyer
A Neural-Symbolic Cognitive Agent for Online Learning and Reasoning. IJCAI (2011)
Daniel S. Farenzena, Ricardo M. Araujo, Luís C. Lamb
Collaboration Emergence in Social Networks with Informational Natural Selection. SocialCom/PASSAT (2011)
Diego Noble, Marcelo Schiavon Porto, Luciano Volcan Agostini, Ricardo Matsumura de Araújo, Luís C. Lamb
Two Novel Algorithms for High Quality Motion Estimation in High Definition Video Sequences. SIBGRAPI (2011)
Leo de Penning, Artur S. d'Avila Garcez, Luís C. Lamb, John-Jules Ch. Meyer
Neural-Symbolic Cognitive Agents: Architecture and Theory. ICCSW (2011)
Rafael V. Borges, Artur S. d'Avila Garcez, Luís C. Lamb, Bashar Nuseibeh
Learning to adapt requirements specifications of evolving systems. ICSE (2011)
Márcio Dorn, Luciana S. Buriol, Luís C. Lamb
Combining Machine Learning and Optimization Techniques to Determine 3-D Structures of Polypeptides. IJCAI (2011)
Rafael V. Borges, Artur S. d'Avila Garcez, Luís C. Lamb
Learning and Representing Temporal Knowledge in Recurrent Networks. IEEE Trans. Neural Networks 22 (12) (2011)
Daniel S. Farenzena, Ricardo M. Araujo, Luís C. Lamb
Towards Social Problem-Solving with Human Subjects. IJCAI (2011)
Rafael V. Borges, Artur S. d'Avila Garcez, Luís C. Lamb
Representing, Learning and Extracting Temporal Knowledge from Neural Networks: A Case Study. ICANN (2) (2010)
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, Leslie Pack Kaelbling, Kristian Kersting, Maithilee Kunda, Luís C. Lamb, Bhaskara Marthi, Keith McGreggor, Vivi Nastase, Gregory M. Provan, Anita Raja, Ashwin Ram, Mark O. Riedl, Stuart J. Russell, Ashish Sabharwal, Jan-Georg Smaus, Gita Sukthankar, Karl Tuyls, Ron van der Meyden, Alon Y. Halevy, Lilyana Mihalkova, Sriraam Natarajan
Reports of the AAAI 2010 Conference Workshops. AI Mag. 31 (4) (2010)
Ulisses Brisolara Corrêa, Luís C. Lamb, Luigi Carro, Lisane B. de Brisolara, Júlio C. B. de Mattos
Towards Estimating Physical Properties of Embedded Systems using Software Quality Metrics. CIT (2010)
Rafael V. Borges, Artur S. d'Avila Garcez, Luís C. Lamb
Integrating model verification and self-adaptation. ASE (2010)
Daniel S. Farenzena, Luís C. Lamb, Ricardo M. Araujo
Combining Human Reasoning and Machine Computation: Towards a Memetic Network Solution to Satisfiability. AAAI (2010)
João M. Fernandes, Luís C. Lamb, Ricardo Jorge Machado, Flávio Rech Wagner
Recent advances in model-based methodologies for pervasive and embedded software. ACM SIGSOFT Softw. Eng. Notes 34 (5) (2009)
João M. Fernandes, Ricardo Jorge Machado, Luís C. Lamb, Flávio Rech Wagner
Model-based Methodologies for Pervasive and Embedded Software. ICSE Companion (2009)
Ricardo Matsumura de Araújo, Luís C. Lamb
On the use of memory and resources in minority games. ACM Trans. Auton. Adapt. Syst. 4 (2) (2009)
Eduardo Horowitz, Luís C. Lamb
A Hierarchical Model for Firewall Policy Extraction. AINA (2009)

Luís C. Lamb.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Luís C. Lamb