Luís C. Lamb

According to our database1, Luís C. Lamb authored at least 94 papers between 2000 and 2019.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2019
Machine Learning in Network Centrality Measures: Tutorial and Outlook.
ACM Comput. Surv., 2019

2018
On the Effectiveness of the Block Two-Level Erdős-Rényi Generative Network Model.
Proceedings of the 2018 IEEE Symposium on Computers and Communications, 2018

Computing Vertex Centrality Measures in Massive Real Networks with a Neural Learning Model.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Problem Solving at the Edge of Chaos: Entropy, Puzzles and the Sudoku Freezing Transition.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Effective Ant Colony Optimization Solution for the Brazilian Family Health Team Scheduling Problem.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Neural Networks Models for Analyzing Magic: The Gathering Cards.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

On Quantifying and Understanding the Role of Ethics in AI Research: A Historical Account of Flagship Conferences and Journals.
Proceedings of the GCAI-2018, 2018

Novel Parallel Anytime A* for Graph and Network Clustering.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Efficient modularity density heuristics for large graphs.
European Journal of Operational Research, 2017

Human-Like Neural-Symbolic Computing (Dagstuhl Seminar 17192).
Dagstuhl Reports, 2017

Exact computational solution of Modularity Density Maximization by effective column generation.
Computers & OR, 2017

Efficient quantitative heuristics for graph clustering.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Genetic algorithm for epidemic mitigation by removing relationships.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Novel Clique enumeration heuristic for detecting overlapping clusters.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
The cost of search and evaluation in online problem-solving social networks with financial and non-financial incentives.
First Monday, 2016

On approximating networks centrality measures via neural learning algorithms.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A New Model and Heuristic for Infection Minimization by Cutting Relationships.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

An Analysis of Centrality Measures for Complex and Social Networks.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

Efficient Stochastic Local Search for Modularity Maximization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

On the role of degree influence in suboptimal modularity maximization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Estimating complex networks centrality via neural networks and machine learning.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

The Impact of Centrality on Individual and Collective Performance in Social Problem-Solving Systems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Neural-Symbolic Learning and Reasoning: Contributions and Challenges.
Proceedings of the 2015 AAAI Spring Symposia, 2015

Collaboration in Social Problem-Solving: When Diversity Trumps Network Efficiency.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
MOIRAE: A computational strategy to extract and represent structural information from experimental protein templates.
Soft Comput., 2014

A neural cognitive model of argumentation with application to legal inference and decision making.
J. Applied Logic, 2014

Neural-Symbolic Learning and Reasoning (Dagstuhl Seminar 14381).
Dagstuhl Reports, 2014

Three-dimensional protein structure prediction: Methods and computational strategies.
Computational Biology and Chemistry, 2014

Applying Neural-Symbolic Cognitive Agents in Intelligent Transport Systems to reduce CO2 emissions.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Neural-symbolic cognitive agents: architecture, theory and application.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013
A molecular dynamics and knowledge-based computational strategy to predict native-like structures of polypeptides.
Expert Syst. Appl., 2013

A cluster-DEE-based strategy to empower protein design.
Expert Syst. Appl., 2013

A simple non-Markovian computational model of the statistics of soccer leagues: Emergence and scaling effects.
Computer Physics Communications, 2013

Leveraging Collaboration: A Methodology for the Design of Social Problem-Solving Systems.
Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, 2013

Investigating a Socially Inspired Heterogeneous System of Problem Solving Agents.
Proceedings of the 27th IEEE International Conference on Advanced Information Networking and Applications, 2013

2012
Reports of the AAAI 2012 Conference Workshops.
AI Magazine, 2012

Modeling Adaptative Social Behavior in Collective Problem Solving Algorithms.
Proceedings of the Sixth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2012

2011
Learning and Representing Temporal Knowledge in Recurrent Networks.
IEEE Trans. Neural Networks, 2011

Collaboration Emergence in Social Networks with Informational Natural Selection.
Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

Two Novel Algorithms for High Quality Motion Estimation in High Definition Video Sequences.
Proceedings of the 24th SIBGRAPI Conference on Graphics, 2011

A Neural-Symbolic Cognitive Agent for Online Learning and Reasoning.
Proceedings of the IJCAI 2011, 2011

Towards Social Problem-Solving with Human Subjects.
Proceedings of the IJCAI 2011, 2011

Combining Machine Learning and Optimization Techniques to Determine 3-D Structures of Polypeptides.
Proceedings of the IJCAI 2011, 2011

Formalizing traceability relations for product lines.
Proceedings of the TEFSE'11, 2011

Learning to adapt requirements specifications of evolving systems.
Proceedings of the 33rd International Conference on Software Engineering, 2011

Neural-Symbolic Cognitive Agents: Architecture and Theory.
Proceedings of the 2011 Imperial College Computing Student Workshop, 2011

A hybrid genetic algorithm for the 3-D protein structure prediction problem using a path-relinking strategy.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Reports of the AAAI 2010 Conference Workshops.
AI Magazine, 2010

Integrating model verification and self-adaptation.
Proceedings of the ASE 2010, 2010

Representing, Learning and Extracting Temporal Knowledge from Neural Networks: A Case Study.
Proceedings of the Artificial Neural Networks, 2010

Combining Human Reasoning and Machine Computation: Towards a Memetic Network Solution to Satisfiability.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Towards Estimating Physical Properties of Embedded Systems using Software Quality Metrics.
Proceedings of the 10th IEEE International Conference on Computer and Information Technology, 2010

2009
Neural-Symbolic Cognitive Reasoning
Cognitive Technologies, Springer, ISBN: 978-3-540-73245-7, 2009

On the use of memory and resources in minority games.
TAAS, 2009

Recent advances in model-based methodologies for pervasive and embedded software.
ACM SIGSOFT Software Engineering Notes, 2009

Model-based Methodologies for Pervasive and Embedded Software.
Proceedings of the 31st International Conference on Software Engineering, 2009

A Hierarchical Model for Firewall Policy Extraction.
Proceedings of the IEEE 23rd International Conference on Advanced Information Networking and Applications, 2009

2008
Software Quality Metrics and their Impact on Embedded Software.
Proceedings of the Model-based Methodologies for Pervasive and Embedded Software, 2008

On the Use of Software Quality Metrics to Improve Physical Properties of Embedded Systems.
Proceedings of the Distributed Embedded Systems: Design, 2008

On the Effects of Network Structure in Population-Based Optimization.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

Distributed problem solving by memetic networks: extended abstract.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

On the Role of Structured Information Exchange in Supervised Learning.
Proceedings of the ECAI 2008, 2008

Using UML as Front-end for Heterogeneous Software Code Generation Strategies.
Proceedings of the Design, Automation and Test in Europe, 2008

The Grand Challenges and Myths of Neural-Symbolic Computation.
Proceedings of the Recurrent Neural Networks - Models, Capacities, and Applications, 20.01., 2008

Memetic Networks: Analyzing the Effects of Network Properties in Multi-Agent Performance.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Connectionist modal logic: Representing modalities in neural networks.
Theor. Comput. Sci., 2007

Analysis of the use of declarative languages for enhanced embedded system software development.
Proceedings of the 20th Annual Symposium on Integrated Circuits and Systems Design, 2007

Reasoning and Learning About Past Temporal Knowledge in Connectionist Models.
Proceedings of the International Joint Conference on Neural Networks, 2007

Towards Reasoning about the Past in Neural-symbolic Systems.
Proceedings of the 3rd International Workshop on Neural-Symbolic Learning and Reasoning, 2007

An Information-Theoretic Analysis of Memory Bounds in a Distributed Resource Allocation Mechanism.
Proceedings of the IJCAI 2007, 2007

A Connectionist Cognitive Model for Temporal Synchronisation and Learning.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Connectionist computations of intuitionistic reasoning.
Theor. Comput. Sci., 2006

Editorial.
RITA, 2006

Editorial.
RITA, 2006

A Connectionist Computational Model for Epistemic and Temporal Reasoning.
Neural Computation, 2006

Combining Architectures for Temporal Learning in Neural-Symbolic Systems.
Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006

2005
Editorial.
RITA, 2005

Value-based Argumentation Frameworks as Neural-symbolic Learning Systems.
J. Log. Comput., 2005

A Connectionist Model for Constructive Modal Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Cognitive Modelling of Event Ordering Reasoning in Imagistic Domains.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

On the Evolution of Memory Size in the Minority Game (extended abstract).
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Neural-Symbolic Systems and the Case for Non-Classical Reasoning.
Proceedings of the We Will Show Them! Essays in Honour of Dov Gabbay, Volume One, 2005

2004
A Revista de Informática Teórica e Aplicada e as Tecnologias de Informação.
RITA, 2004

Applying connectionist modal logics to distributed knowledge representation problems.
International Journal on Artificial Intelligence Tools, 2004

Towards Understanding the Role of Learning Models in the Dynamics of the Minority Game.
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004

Argumentation Neural Networks.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

Neural-Evolutionary Learning in a Bounded Rationality Scenario.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

Towards a Connectionist Argumentation Framework.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2003
Reasoning about Time and Knowledge in Neural Symbolic Learning Systems.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Neural-Symbolic Intuitionistic Reasoning.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

Distributed Knowledge Representation in Neural-Symbolic Learning Systems: A Case Study.
Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, 2003

2002
Labelled Natural Deduction for Conditional Logics of Normality.
Logic Journal of the IGPL, 2002

2001
Book Review: "Elementary Logics: a Procedural Perspective" by Dov M. Gabbay.
J. Log. Comput., 2001

2000
Labelled proof theory for conditional logic.
PhD thesis, 2000


  Loading...