{"id":6,"date":"2021-07-11T14:58:30","date_gmt":"2021-07-11T13:58:30","guid":{"rendered":"http:\/\/wp.lancs.ac.uk\/colab\/?page_id=6"},"modified":"2026-03-14T10:38:37","modified_gmt":"2026-03-14T10:38:37","slug":"publications","status":"publish","type":"page","link":"https:\/\/wp.lancs.ac.uk\/colab\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"
    \n

    Journal Papers<\/h3>\n
  1. S. N. Matos, T. V. B. Pinto, R. Duarte, K. S. Albuquerque, A. G. Fonseca, C. M. Ranieri, L. S. Marcolino, G. Pessin, J. Ueyama. “Data-driven soft sensor development for ore type estimation in mineral crushing processes”. In Engineering Applications of Artificial Intelligence, volume 167, March 2026. Download paper<\/a><\/li>\n
  2. \u00c9. S. Pinto, S. N. Matos, M. Neiva, G. A. Santos, L. S. Marcolino, J. Ueyama, T. A. M. Euz\u00e9bio, G. Pessin, P. V. Pritzelwitz, A. K. R. Segundo. “Development of a bench system with capacitive sensor, sample compression, and TinyML for iron ore moisture measurement”. In Scientific Reports, volume 15, number 1, November 2025. Download paper<\/a><\/li>\n
  3. Y. T. dos Passos, L. S. Marcolino. “Estimating the Expected Time to Enter and Leave a Common Target Area in Robotic Swarms”. In Mathematics, vol. 13, number 21, November 2025. Download paper<\/a><\/li>\n
  4. M. L. H. D. Lemos, R. e. S. Vieira, A. R. Tavares, L. S. Marcolino, L. Chaimowicz. “Enhancing deep reinforcement learning for scale flexibility in real-time strategy games”. In Entertainment Computing, vol. 52, January 2025. Download paper<\/a> Official version<\/a><\/li>\n
  5. R. Mu, L. S. Marcolino, Q. Ni, W. Ruan. “Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond”. In Neural Networks, vol. 171, March 2024. Download paper<\/a> Official version<\/a><\/li>\n
  6. C. M. Ranieri, A. V. K. Foletto, R. D. Garcia, S. N. Matos, M. M. G. Medina, L. S. Marcolino, J. Ueyama. “Water level identification with laser sensors, inertial units, and machine learning”. In Engineering Applications of Artificial Intelligence, vol. 127, no. Part A, 107235. January 2024. Download paper<\/a> Official version<\/a><\/li>\n
  7. M. Escarce Junior, G. R. Martins, L. S. Marcolino, E. Rubegni. “The Aesthetics of Disharmony: Harnessing Sounds and Images for Dynamic Soundscapes Generation”. In ACM – PACMHCI CHI PLAY, vol. 7, no. CHI PLAY, 399, pp. 665-698, October 2023. Download paper<\/a><\/li>\n
  8. Y. T. Passos, X. Duquesne, L. S. Marcolino. “Congestion control algorithms for robotic swarms with a common target based on the throughput of the target area”. In Robotics and Autonomous Systems, vol. 159, 2023. Download paper<\/a> Official Version<\/a><\/li>\n
  9. R. Mu, W. Ruan, L. S. Marcolino, Q. Ni. “3DVerifier: efficient robustness verification for 3D point cloud models”. In Machine Learning, 2022. Download paper<\/a><\/li>\n
  10. E. S. Yourdshahi, M. A. C. Alves, A. Varma, L. S. Marcolino, J. Ueyama, P. Angelov. “On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork”. In Autonomous Agents and Multi-Agent Systems, vol. 36, no. 45, August 2022. Download paper<\/a><\/li>\n
  11. Y. T. Passos, X. Duquesne, L. S. Marcolino, “On the Throughput of the Common Target Area for Robotic Swarm Strategies”, Mathematics, vol. 10, no. 14, 2482, July 2022. Download paper<\/a><\/li>\n
  12. I. D. S. Gomes, C. A. Santana, L. S. Marcolino, L. H. F. D. Lima, R. C. D. Melo-Minardi, R. S. Dias, S. O. de Paula, S. D. A. Silveira. “Computational prediction of potential inhibitors for SARS-COV-2 main protease based on machine learning, docking, MM-PBSA calculations, and metadynamics”. In PLoS ONE, 17(4), April 2022, [e0267471]. Download paper<\/a><\/li>\n
  13. W. Ramos , M. Silva, E. Ara\u00fajo, V. Moura, K. Oliveira, L. S. Marcolino, and E. R. Nascimento. “Text-driven video acceleration: A weakly-supervised reinforcement learning method”. In the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), March 2022. Download paper<\/a><\/li>\n
  14. M. Escarce Junior, G. R. Martins, L. S. Marcolino, E. Rubegni. “A Meta-interactive Compositional Approach that Fosters Musical Emergence through Ludic Expressivity”. In ACM – PACMHCI CHI PLAY, Vol. 5, No. CHI PLAY, 262, p. 1-32, July 2021. Download paper<\/a><\/li>\n
  15. P. Hardy, L. S. Marcolino, J. F. Fontanari. “The paradox of productivity during quarantine: an agent-based simulation”. In European Physical Journal B, Vol. 94, 40, January 2021. Download paper<\/a><\/li>\n
  16. L. S. Marcolino, A. Lakshminarayanan, V. Nagarajan, M. Tambe. “Every Team Deserves a Second Chance: An extended study on predicting team performance”. In Autonomous Agents and Multi-Agent Systems, Vol. 31, No. 5, September 2017, p. 1003-1054, DOI 10.1007\/s10458-016-9348-2. Download paper<\/a> <\/li>\n
  17. L. S. Marcolino, Y. T. dos Passos, \u00c1. A. F. de Souza, A. S. Rodrigues, L. Chaimowicz. “Avoiding target congestion on the navigation of robotic swarms”. In Autonomous Robots, Vol. 41, No. 6, August 2017, p. 1297-1320, DOI 10.1007\/s10514-016-9577-x. Download paper (author version)<\/a> View Springer Version (SharedIt)<\/a><\/li>\n
  18. L. S. Marcolino, L. Chaimowicz. “Algoritmos de Coordena\u00e7\u00e3o para Enxames de Rob\u00f4s” (“Coordination Algorithms for a Swarm of Robots”). Electronic Journal of Scientific Initiation (Revista Eletr\u00f4nica de Inicia\u00e7\u00e3o Cient\u00edfica), Year IX, Volume 3, September 2009. (In Portuguese) Download paper<\/a>(Best paper, by the Brazilian Society of Computer Science)<\/font><\/li>\n

    Magazine Papers<\/h3>\n
  19. A. Yadav, L. S. Marcolino, E. Rice, R. Petering, H. Winetrobe, H. Rhoades, M. Tambe, H. Carmichael. “PSINET: Aiding HIV Prevention Amongst Homeless Youth by Planning Ahead”. In AI Magazine, 2015. Download paper<\/a><\/li>\n

    Full Conference Papers<\/h3>\n
  20. M. Alsomali, L. S. Marcolino, B. Porter, R. Rodrigues-Filho. “Dynamically Increasing Agents Set-Size in Bayesian Multi-agent Multi-armed Bandits Framework”. In Proceedings of the 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026), May 2026. Download paper<\/a><\/li>\n
  21. E. Alharbi, A. Kerim, L. S. Marcolino, Q. Ni. “SD-CSFL: A Synthetic Data-Driven Conformity Scoring Framework for Robust Federated Learning”. In Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision 2026 (WACV 2026), March 2026. Download paper<\/a> Download appendix<\/a><\/li>\n
  22. L. Pelcner, L. S. Marcolino, M. A. do Carmo Alves, P. Harrison, P. Atkinson. “Multi Objective Quantile Based Reinforcement Learning for Modern Urban Planning”. In Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025), August 2025. Download paper<\/a><\/li>\n
  23. F. J. dos Santos Diniz, S. Neves Matos, J. Ueyama, L. S. Marcolino, E. J. da Silva Luz, G. Pessin. “Uncertainty Quantification in Measuring Ore Mass Flow Rate with Data-Driven Soft Sensors”. In Proceedings of the 2025 International Instrumentation and Measurement Technology Conference (IEEE I2MTC 2025), May 2025. Download paper<\/a><\/li>\n
  24. E. Alharbi, L. S. Marcolino, Q. Ni, A. Gouglidis. “Robust Knowledge Distillation in Federated Learning: Counteracting Backdoor Attacks”. In Proceedings of the 3rd IEEE Conference on Secure and Trustworthy Machine Learning (SaTML 2025), April 2025. Download paper<\/a><\/li>\n
  25. M. Alsomali, R. Rodrigues-Filho, L. S. Marcolino, B. Porter. “An Online Incremental Learning Approach for Configuring Multi-arm Bandits Algorithms”. In Proceedings of the 27th European Conference On Artificial Intelligence (ECAI 2024), October 2024. Download paper<\/a><\/li>\n
  26. M. A. do Carmo Alves, A. Varma, L. S. Marcolino, Y. Elkhatib. “It Is Among Us: Identifying Adversaries in Ad-hoc Domains Using Q-valued Bayesian Estimations”. In Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024), May 2024. Download paper<\/a><\/li>\n
  27. R. Mu, L. S. Marcolino, T. Zhang, Y. Zhang, X. Huang, W. Ruan. “ReCePS: Reward Certification for Policy Smoothed Reinforcement Learning”. In Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI 24): Safe, Robust and Responsible AI (SRRAI) Special Track, February 2024. Download paper<\/a><\/li>\n
  28. A. Kerim, W. S. Ramos, L. S. Marcolino, E. R. Nascimento, R. Jiang. “Leveraging Synthetic Data to Learn Video Stabilization Under Adverse Conditions”. In Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV 2024), January 2024. Download paper<\/a> Download supplementary material<\/a><\/li>\n
  29. M. A. C. Alves, A. Varma, Y. Elkathib, L. S. Marcolino. “Information-guided Planning: An Online Approach for Partially Observable Problems”. In Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023), December 2023. Download paper<\/a><\/li>\n
  30. M. L. Harry Diniz Lemos, R. E. S. Vieira, A. Rocha Tavares, L. S. Marcolino, L. Chaimowicz. “Scale-Invariant Reinforcement Learning in Real-Time Strategy Games”. In Proceedings of the 22nd Brazilian Symposium of Games and Digital Entertainment (SBGames 2023), November 2023. Download paper<\/a><\/li>\n
  31. E. Alharbi, L. S. Marcolino, A. Gouglidis, Q. Ni. “Robust Federated Learning Method against Data and Model Poisoning Attacks with Heterogeneous Data Distribution”. In Proceedings of the 26th European Conference on Artificial Intelligence (ECAI 2023), September 2023. Download paper<\/a><\/li>\n
  32. R. Mu, W. Ruan, L. S. Marcolino, G. Jin, Q. Ni. “Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning”. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI-23), February 2023. Download paper<\/a><\/li>\n
  33. A. Kerim, F. Chamone, W. S. Ramos, L. S. Marcolino, E. R. Nascimento, R. Jiang. “Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach”. In Proceedings of the 33rd British Machine Vision Conference (BMVC 2022), November 2022. Download paper<\/a><\/li>\n
  34. R. Mu, W. Ruan, L. S. Marcolino, Q. Ni. “Sparse Adversarial Video Attacks with Spatial Transformations”. In Proceedings of the 32nd British Machine Vision Conference (BMVC 2021), November 2021. Download paper<\/a><\/li>\n
  35. L. Pelcner, S. Li, M. A. C. Alves, L. S. Marcolino, A. Collins. “Real-time Learning and Planning in Environments with Swarms: A Hierarchical and a Parameter-based Simulation Approach”. In Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020), May 2020. Download paper<\/a><\/li>\n
  36. W. De Souza Ramos, M. M. Silva, E. R. Araujo, L. S. Marcolino, E. R. Nascimento. “Straight to the Point: Fast-forwarding Videos via Reinforcement Learning Using Textual Data”. In Proceedings of the 2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), June 2020. Download paper<\/a><\/li>\n
  37. E. S. Yourdshahi, T. Pinder, G. Dhawan, L. S. Marcolino and P. Angelov. “Towards Large Scale Ad-hoc Teamwork”. In Proceedings of the 3rd International Conference on Agents (ICA 2018), July 2018. Download paper<\/a> <\/li>\n
  38. (Double 1st<\/sup> author) A. R. Tavares, S. Anbalagan, L. S. Marcolino and L. Chaimowicz. “Algorithms or Actions? A Study in Large-Scale Reinforcement Learning”. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), July 2018. Download paper<\/a> Download appendix<\/a><\/li>\n
  39. (Double 1st<\/sup> author) A. Yadav, R. Noothigattu, E. Rice, L. Onasch-Vera, L. S. Marcolino, M. Tambe. “Please be an Influencer? Contingency-Aware Influence Maximization”. In Proceedings of the Seventeenth International Conference on Autonomous Agents & Multi-agent Systems (AAMAS 2018), July 2018. Download paper<\/a><\/li>\n
  40. (Double 1st<\/sup> author) M. Escarce Junior, G. R. Martins, L. S. Marcolino, Y. T. dos Passos. “Emerging Sounds Through Implicit Cooperation: A Novel Model for Dynamic Music Generation”. In Proceedings of the 13th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2017), Utah, USA, October 2017. Download paper<\/a> Watch video<\/a><\/li>\n
  41. D. J. Gerber, E. Pantazis, L. S. Marcolino. “Design Agency: Prototyping Multi-Agent Systems in Architecture”. In Proceedings of the 16th CAAD Futures Conference, July 2015. Download paper<\/a><\/li>\n
  42. (Double 1st<\/sup> author) V. Nagarajan, L. S. Marcolino, M. Tambe. “Every team deserves a second chance: Identifying when things go wrong”. In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015), May 2015. Download paper<\/a> Download appendix<\/a><\/li>\n
  43. A. Yadav, L. S. Marcolino, E. Rice, R. Petering, H. Winetrobe, H. Rhoades, M. Tambe, H. Carmichael. “Preventing HIV Spread in Homeless Populations using PSINET: Emerging Application Case Study”. In Proceedings of the 27th Conference on Innovative Applications of Artificial Intelligence (IAAI 2015), Texas, USA. Download paper<\/a> <\/li>\n
  44. (α-β) A. X. Jiang, L. S. Marcolino, A. D. Procaccia, T. Sandholm, N. Shah, and M. Tambe. “Diverse randomized agents vote to win”. In Proceedings of the 28th Neural Information Processing Systems Conference (NIPS 2014), Qu\u00e9bec, Canada, December 2014. Download paper<\/a><\/li>\n
  45. L. S. Marcolino, H. Xu, A. X. Jiang, M. Tambe, and E. Bowring. “Give a Hard Problem to a Diverse Team: Exploring Large Action Spaces”. In Proceedings of the 28th Conference on Artificial Intelligence (AAAI 2014), Qu\u00e9bec, Canada, July 2014. Download paper<\/a> Download appendix<\/a><\/li>\n
  46. L. S. Marcolino, A. X. Jiang, and M. Tambe. “Multi-agent Team Formation: Diversity Beats Strength?”. In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), Beijing, China, August 2013. Download paper <\/a> Download appendix <\/a><\/li>\n
  47. L. S. Marcolino, H. Matsubara. “Multi-Agent Monte Carlo Go”. In Proceedings of the Tenth International Conference on
    \nAutonomous Agents and Multiagent Systems (AAMAS 2011), May 2011.     Download paper<\/a> (Best paper nominee; 4 out of 127 full papers and 575 submissions)<\/font><\/li>\n
  48. L. S. Marcolino, L. Chaimowicz. “Traffic Control for a Swarm of Robots: Avoiding Group Conflicts”. In Proceedings of the 2009 IEEE International Conference on Intelligent Robots and Systems (IROS 2009), St. Louis, MO, October 2009, pages 1949-1954. Download paper<\/a>.<\/li>\n
  49. L. S. Marcolino, L. Chaimowicz. “Traffic Control for a Swarm of Robots: Avoiding Target Congestion”. In Proceedings of the 2009 IEEE International Conference on Intelligent Robots and Systems (IROS 2009), St. Louis, MO, October 2009, pages 1955-1961. Download paper<\/a><\/li>\n
  50. L. S. Marcolino, L. Chaimowicz. “Experiments in the Coordination of Large Groups of Robots”. In Proceedings of the 19th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence (SBIA 2008), Gerson Zaverucha and Augusto Loureiro Costa (Eds.), Springer-Verlag, Berlin, Heidelberg, pages 268-277. Download paper<\/a><\/li>\n
  51. L. S. Marcolino, L. Chaimowicz. “No Robot Left Behind: Coordination to Overcome Local Minima in Swarm Navigation”. In Proceedings of the 2008 IEEE International Conference on Robotics and Automation (ICRA 2008), Pasadena, California, May 2008, pages 1904-1909. Download paper<\/a><\/li>\n

    Book Chapters<\/h3>\n
  52. L. S. Marcolino, H. Xu, D. Gerber, B. Kolev, S. Price, E. Pantazis, M. Tambe. “Multi-agent Team Formation for Design Problems”. In Coordination, Organizations, Institutions and Norms in Agent Systems XI. Springer-Verlag Lecture Notes in AI, 2016. Download paper<\/a><\/li>\n
  53. L. S. Marcolino, H. Xu, A. X. Jiang, M. Tambe, and E. Bowring. “The Power of Teams that Disagree: Team Formation in Large Action Spaces”. In Coordination, Organizations, Institutions and Norms in Agent Systems X. Springer-Verlag Lecture Notes in AI, 2015. Download paper<\/a><\/li>\n
  54. L. S. Marcolino, C. Zhang, A. X. Jiang, and M. Tambe. “A Detailed Analysis of a Multi-agent Diverse Team”. In T. Balke, A. Chopra, F. Dignum and B. van Riemsdijk, editors. Coordination, Organizations, Institutions and Norms in Agent Systems IX. Springer-Verlag Lecture Notes in AI, 2014. Download paper<\/a> Download appendix<\/a><\/li>\n
  55. L. S. Marcolino, B. R. G. M. Couto, M. A. dos Santos. “Genome Visualization in Space”. In Proceedings of the 4th International Workshop on Practical Applications of Computational Biology & Bioinformatics (IWPACBB), 2010. Published in Advances in Bioinformatics – Advances in Soft Computing, M. Rocha, F. Riverola, H. Shatkay, and J. Corchado (Eds.), Springer-Verlag, volume 74, pages 225-232, Berlin, Heidelberg, 2010. Download paper<\/a>.<\/li>\n

    Symposium Papers<\/h3>\n
  56. T. M. Grabe, F. R. In\u00e1cio, L. S. Marcolino, D. G. Macharet, L. Chaimowicz. “Stand by me: Learning to keep cohesion in the navigation of heterogeneous swarms”. In the 4th International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARMS 2021), June 2021. Download paper<\/a><\/li>\n
  57. E. S. Yourdshahi, P. P. Angelov, L. S. Marcolino, G. Tsianakas. “Towards Evolving Cooperative Mapping for Large-Scale UAV Teams”. In 2018 IEEE Symposium Series on Computational Intelligence (SSCI), January 2019. Download paper<\/a><\/li>\n
  58. D. J. Gerber, E. Pantazis, L. S. Marcolino, A. Heydarian. “A Multi-Agent Systems for Design Simulation Framework: Experiments with Virtual-Physical-Social Feedback for Architecture”. In Proceedings of the 6th Symposium on Simulation for Architecture and Urban Design (SimAUD 2015), April 2015. Download paper<\/a><\/li>\n

    Short Conference Papers & Demonstrations<\/h3>\n
  59. M. Alsomali, L. S. Marcolino, B. Porter, and R. Rodrigues-Filho. “Decision-Making in Evolving Environments: A Bayesian Multi-Agent Bandit Framework”. In Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2025), May 2025. Download paper<\/a><\/li>\n
  60. L. Pelcner, M. A. do Carmo Alves, L. S. Marcolino, P. Atkinson, P. Harrison. “Incentive-driven MARL Approach for Commons Dilemmas in Land-Use”. In Proceedings of the 25th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2024), November 2024. Download paper<\/a><\/li>\n
  61. L. Pelcner, M. A. do Carmo Alves, L. S. Marcolino, P. Harrison, P. Atkinson. “Incentive-based MARL Approach for Commons Dilemmas in Property-based Environments: Extended Abstract”. In Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024), May 2024. Download paper<\/a><\/li>\n
  62. M. A. C. Alves, E. S. Yourdshahi, A. Varma, L. S. Marcolino, J. Ueyama, P. Angelov. “On-Line Estimators for Ad-Hoc Task Execution: Learning Types and Parameters of Teammates for Effective Teamwork: JAAMAS Track”. In Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023), p. 140\u2013142, May 2023. Download paper<\/a><\/li>\n
  63. M. A. C. Alves, A. Varma, Y. Elkhatib, L. S. Marcolino. “AdLeap-MAS: An Open-source Multi-Agent Simulator for Ad-hoc Reasoning”. In Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022), May 2022. Download paper<\/a><\/li>\n
  64. E. S. Yourdshahi, M. A. C. Alves, L. S. Marcolino, P. Angelov. “On-line Estimators for Ad-hoc Task Allocation: Extended Abstract”. In Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020), May 2020. Download paper<\/a><\/li>\n
  65. S. A. Silva, S. R. Dias, L. S. Marcolino. “Bang: A System for Training and Visualization in Multi-agent Team Formation”. In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017), May 2017. (Demonstration) Download paper<\/a> Watch Video<\/a><\/li>\n
  66. L. S. Marcolino, A. Lakshminarayanan, A. Yadav, and M. Tambe. “Simultaneous influencing and mapping social networks”. In Proceedings of the 15th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2016), May 2016. (Short Paper) Download paper<\/a><\/li>\n
  67. G. R. Martins, M. Escarce Junior, L. S. Marcolino. “Jikan to Kukan: A Hands-on Musical Experience in AI, Games and Art”. In Proceedings of the 30th Conference on Artificial Intelligence (AAAI 2016), February 2016. (Demonstration) Download paper<\/a> Watch Video<\/a><\/li>\n
  68. L. S. Marcolino, M. Tambe. “Unleashing the Power of Multi-agent Voting Teams”. In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 2015. (Doctoral Consortium) Download paper<\/a><\/li>\n
  69. L. S. Marcolino, M. Tambe. “Three Fundamental Pillars of Multi-agent Team Formation”. In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015), May 2015. (Doctoral Consortium) Download paper<\/a><\/li>\n
  70. L. S. Marcolino, V. Nagarajan, M. Tambe. “Every Team Deserves a Second Chance: An Interactive 9×9 Go Experience”. In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015), May 2015. (Demonstration) Download paper<\/a> Watch Video<\/a><\/li>\n
  71. V. Nagarajan, L. S. Marcolino, M. Tambe. “Every team deserves a second chance: Identifying when things go wrong (Student Abstract)”. In Proceedings of the 29th Conference on Artificial Intelligence (AAAI 2015), Texas, USA, January 2015. Download paper<\/a> Download appendix<\/a><\/li>\n
  72. L. S. Marcolino. “Multi-agent Team Formation: Solving Complex Problems by Aggregating Opinions”. In Proceedings of the 29th Conference on Artificial Intelligence (AAAI 2015), Texas, USA, January 2015. (Doctoral Consortium) Download paper<\/a> <\/li>\n
  73. L. S. Marcolino, D. Chen, A. X. Jiang, M. Tambe. “Diversity Beats Strength? – A Hands-on Experience with 9×9 Go (Demonstration)”. In Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2013), Ito, Jonker, Gini, and Shehory (eds.), May, 6-10, 2013, Saint Paul, Minnesota, USA. (Demonstration) Download paper<\/a> Watch video<\/a><\/li>\n
  74. B. R. G. M. Couto, M. A. Boaventura, L. S. Marcolino, M. A. dos Santos. “Visualizing high dimensional and multivariate data applying singular value decomposition followed by optimization”. In the 6th International Conference of Brazilian Association for Bioinformatics and Computational Biology (X-Meeting 2010). Ouro Preto, MG, Brazil, November 2010. (Abstract only, poster presentation).<\/li>\n
  75. L. S. Marcolino, L. Chaimowicz. “A Coordination Mechanism for Swarm Navigation: Experiments and Analysis”. In Proceedings of the Seventh International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), Estoril, Portugual, May 2008, pages 1203-1206 (Short Paper). Download paper<\/a><\/li>\n

    Workshop Papers<\/h3>\n
  76. W. De Souza Ramos, L. S. Marcolino, and E. R. Nascimento. “Text-driven Video Acceleration”. In the 37th Conference on Graphics, Patterns and Images (SIBGRAPI): Workshop of Theses and Dissertations (WTD), August 2024. Download paper<\/a><\/li>\n
  77. F. Meletti Rappa, R. Rodrigues-Filho, A. R. Panisson, L. S. Marcolino, L. Bittencourt. “Multi-armed Bandits for Self-distributing Stateful Services across Networking Infrastructures”. In the 3rd International Workshop on Intelligence Provisioning for Network and Service Management in Softwarized Networks, May 2024. Download paper<\/a><\/li>\n
  78. A. Kerim, L. S. Marcolino, R. Jiang. “Silver: Novel Rendering Engine for Data Hungry Computer Vision Models”. In the 2nd International Workshop on Data Quality Assessment for Machine Learning, August 2021. Download paper<\/a><\/li>\n
  79. E. S. Yourdshahi, M. A. C. Alves, L. S. Marcolino, P. Angelov. “Decentralised Task Allocation in the Fog: Estimators for Effective Ad-hoc Teamwork”. In the 11th International Workshop on Optimization and Learning in Multiagent Systems (OptLearnMAS 2020), May 2020. Download paper<\/a><\/li>\n
  80. M. Escarce Junior, G. R. Martins, L. S. Marcolino, Y. T. dos Passos. “Blind Creation: Emerging Music Through Implicit Collaboration”. In the 1st AAMAS Workshop on Teams in Multiagent Systems, S\u00e3o Paulo, Brazil, May 2017. Download paper<\/a><\/li>\n
  81. L. S. Marcolino, A. Lakshminarayanan, A. Yadav, and M. Tambe. “Simultaneous Influencing and Mapping for Health Interventions”. In the 3rd Workshop on Expanding the Boundaries of Health Informatics Using AI (HIAI’16), February 2016. Download paper<\/a><\/li>\n
  82. L. S. Marcolino, V. Nagarajan and M. Tambe. “Every Team Makes Mistakes, in Large Action Spaces”. In the 9th Multidisciplinary Workshop on Advances in Preference Handling (M-PREF 2015), Buenos Aires, Argentina, July 2015. Download paper<\/a><\/li>\n
  83. L. S. Marcolino, H. Xu, D. Gerber, B. Kolev, S. Price, E. Pantazis, M. Tambe. “Agent Teams for Design Problems”. In the 19th International Workshop on Coordination, Organisations, Institutions and Norms (COIN 2015), May 2015. Download paper<\/a><\/li>\n
  84. V. Nagarajan, L. S. Marcolino, M. Tambe. “Every Team Makes Mistakes: An Initial Report on Predicting Failure in Teamwork”. In the AAAI Workshop Learning for General Competency in Video Games (AAAI 2015), Texas, USA, January 2015. Download paper<\/a><\/li>\n
  85. L. S. Marcolino, D. Gerber, B. Kolev, S. Price, E. Pantazis, Y. Tian, M. Tambe. “Agents vote for the environment: Designing energy-efficient architecture”. In the AAAI Workshop on Computational Sustainability (AAAI 2015), Texas, USA, January 2015. Download paper<\/a><\/li>\n
  86. A. Yadav, L. S. Marcolino, E. Rice, R. Petering, H. Winetrobe, H. Rhoades, M. Tambe, H. Carmichael. “PSINET – An Online POMDP Solver for HIV Prevention in Homeless Populations”. In Proceedings of the AAAI-15 Workshop on Planning, Search, and Optimization (PlanSOpt-15), Texas, USA, 2015. Download paper<\/a> <\/li>\n
  87. L. S. Marcolino, B. Kolev, S. Price, S. P. Veetil, D. Gerber, J. Musil, M. Tambe. “Aggregating Opinions to Design Energy-Efficient Buildings”. In the 8th Multidisciplinary Workshop on Advances in Preference Handling (M-PREF 2014), Qu\u00e9bec, Canada, July 2014. Download paper<\/a><\/li>\n
  88. L. S. Marcolino, H. Xu, A. X. Jiang, M. Tambe, and E. Bowring. “Team Formation in Large Action Spaces”. In the 17th International Workshop on Coordination, Organisations, Institutions and Norms (COIN 2014), Paris, France, May 2014.<\/li>\n
  89. L. S. Marcolino, A. X. Jiang, and M. Tambe. “Diversity beats strength? – Towards forming a powerful team”. In the 15th International Workshop on Coordination, Organisations, Institutions and Norms (COIN 2013), St. Paul, Minnesota, May 2013.<\/li>\n

    Thesis, Monographs & Dissertations<\/h3>\n
  90. L. S. Marcolino. “Three Fundamental Pillars of Decision-Centered Teamwork”, PhD Thesis, advised by M. Tambe. University of Southern California, March 2016. Download thesis<\/a><\/li>\n
  91. L. S. Marcolino. “Multi-Agent Monte Carlo Go”, Master’s Thesis, advised by H. Matsubara. School of Systems Information Science at Future University Hakodate, Japan, August 2011. Download thesis<\/a><\/li>\n
  92. L. S. Marcolino. “Controle de Tr\u00e1fego para um Enxame de Rob\u00f4s” (“Traffic Control for a Swarm of Robots”), Undergraduate Monograph, adivsed by L. Chaimowicz. Universidade Federal de Minas Gerais, Brazil, December 2008.<\/li>\n

    News Media Articles <\/h3>\n
  93. L. S. Marcolino. “Open-Air Tournament in Vietnam”. In the European Go Journal, November & December 2025. Download article<\/a><\/li>\n
  94. L. S. Marcolino. “Free Book for Teaching Kids”. In the European Go Journal, September & October, 2024. Download article<\/a><\/li>\n
  95. L. S. Marcolino, R. Sahb. “Ten years on, the iPhone has taken us back as many steps as it has taken us forward”. In The Conversation, January 9, 2017. View Article<\/a> <\/li>\n

    Editorials<\/h3>\n
  96. E. Andrejczuk, J. Alberola, L. S. Marcolino, P. Torroni. “Special issue of Teams in Multiagent Systems (TEAMAS): Preface”. In Fundam Informaticae, Vol. 174, No. 1, 12.05.2020, p. 61-62, May 2020. Download editorial<\/a><\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

    Journal Papers S. N. Matos, T. V. B. Pinto, R. Duarte, K. S. Albuquerque, A. G. Fonseca, C. M. Ranieri, L. S. Marcolino, G. Pessin, J. Ueyama. “Data-driven soft sensor development for ore type estimation in mineral crushing processes”. In Engineering Applications of Artificial Intelligence, volume 167, March 2026. Download paper \u00c9. S. Pinto, S. […]<\/p>\n","protected":false},"author":1432,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-6","page","type-page","status-publish","hentry"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/wp.lancs.ac.uk\/colab\/wp-json\/wp\/v2\/pages\/6","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.lancs.ac.uk\/colab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wp.lancs.ac.uk\/colab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wp.lancs.ac.uk\/colab\/wp-json\/wp\/v2\/users\/1432"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.lancs.ac.uk\/colab\/wp-json\/wp\/v2\/comments?post=6"}],"version-history":[{"count":18,"href":"https:\/\/wp.lancs.ac.uk\/colab\/wp-json\/wp\/v2\/pages\/6\/revisions"}],"predecessor-version":[{"id":174,"href":"https:\/\/wp.lancs.ac.uk\/colab\/wp-json\/wp\/v2\/pages\/6\/revisions\/174"}],"wp:attachment":[{"href":"https:\/\/wp.lancs.ac.uk\/colab\/wp-json\/wp\/v2\/media?parent=6"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}