Felipe Meneguzzi

Research output

Research output per year 2002 2011 2013 2014 2015 2016 2017 2018 2020 2024

• 128 Published conference contribution
• 23 Article
• 9 Chapter
• 7 Unpublished paper
• 18 More
  • 5 Preprint
  • 4 Other contribution
  • 2 Commissioned Report
  • 1 Book
  • 1 Other Report
  • 1 Poster
  • 1 Abstract
  • 1 Conference article
  • 1 Editorial
  • 1 Review article

Research output per year

Research output per year

Search results

• 2024

  Assessment of Radiation-Induced Soft Error on Unmanned Surface Vehicles

  Fleck, M. A., Pereira, E. G., Gava, J. F., Silva, H. B., Moraes, F. G., Calazans, N. L. V., Meneguzzi, F., Bastos, R. P., Reis, R. A. L., Ost, L. & Garibotti, R., 18 Mar 2024, (E-pub ahead of print) In: IEEE Transactions on Nuclear Science.

  Research output: Contribution to journal › Article › peer-review

  • surface vehicles 100%
  • Unmanned surface vehicles 83%
  • Radiation 44%
  • Lakes 44%
  • Object detection 38%

• Temporally extended goal recognition in fully observable non-deterministic domain models

  Pereira, R. F., Fuggitti, F., Meneguzzi, F. & De Giacomo, G., Jan 2024, In: Applied Intelligence. 54, p. 470-489 20 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Temporal logic 100%
  • Planning 36%
• 2023

  A Monte Carlo Algorithm for Time-Constrained General Game Playing

  Putrich, V. S., Tavares, A. R. & Meneguzzi, F., 12 Oct 2023, Intelligent Systems : 12th Brazilian Conference, BRACIS 2023, Belo Horizonte, Brazil, September 25–29, 2023, Proceedings, Part I. Naldi, M. C. & Bianchi, R. A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 97-111 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14195 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Monte Carlo Algorithm 100%
  • Game 65%
  • Strategy 34%
  • Acquisition 20%
  • Prior Knowledge 19%

• Multi-Agent Intention Recognition and Progression

  Dann, M., Yao, Y., Alechina, N., Logan, B., Meneguzzi, F. & Thangarajah, J., 19 Aug 2023, Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence: Main Track. IJCAI, p. 91-99 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  Open Access

  File

  • Scheduling 100%
  7 Downloads (Pure)

• Self-Supervised Adversarial Imitation Learning

  Monteiro, J., Gavenski, N., Meneguzzi, F. & Barros, R. C., 2 Aug 2023, 2023 International Joint Conference on Neural Networks (IJCNN): 18-23 June 2023. Institute of Electrical and Electronics Engineers Inc.

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Discriminators 100%
  • Cloning 53%
  • Demonstrations 32%
  • Trajectories 27%

• Online Goal Recognition in Discrete and Continuous Domains Using a Vectorial Representation

  Tesch, D., Amado, L. R. & Meneguzzi, F., 15 Jul 2023, ArXiv, 8 p.

  Research output: Working paper › Preprint

  Open Access

  File

  • Robot applications 100%
  • Observability 82%
  • Robotics 56%
  • Trajectories 51%
  • Planning 47%
  1 Downloads (Pure)

• Temporally Extended Goal Recognition in Fully Observable Non-Deterministic Domain Models

  Pereira, R. F., Fuggitti, F., Meneguzzi, F. & Giacomo, G. D., 14 Jun 2023, ArXiv, 18 p.

  Research output: Working paper › Preprint

  Open Access

  File

  • Temporal logic 100%
  • Planning 54%

• Modeling a Conversational Agent using BDI Framework

  Ichida, A. Y. & Meneguzzi, F., 7 Jun 2023, Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing: SAC 2023. Association for Computing Machinery, p. 856-863 8 p. (Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing).

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  Open Access

  File

  • Pipelines 100%

• Self-Supervised Adversarial Imitation Learning

  Monteiro, J., Gavenski, N., Meneguzzi, F. & Barros, R. C., 21 Apr 2023, ArXiv, 8 p.

  Research output: Working paper › Preprint

  Open Access

  File

  • Discriminators 100%
  • Cloning 53%
  • Demonstrations 32%
  • Trajectories 27%
• 2022

  Robust Neuro-Symbolic Goal and Plan Recognition

  Amado, L. R., Fraga Pereira, R. & Meneguzzi, F., 2 Dec 2022, (Accepted/In press).

  Research output: Contribution to conference › Unpublished paper › peer-review

  • Planning 100%
  • Ablation 96%
  • Observability 87%
  • Machine learning 57%
  3 Citations (Scopus)

• Resilience, reliability, and coordination in autonomous multi-agent systems

  Cardoso, R. C., Logan, B., Meneguzzi, F., Oren, N. & Yun, B., 20 Sept 2022, In: AI Communications. 35, 4, p. 339-356 18 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Multi agent systems 100%
  1 Citation (Scopus)

  5 Downloads (Pure)

• HyperTensioN and Total-order Forward Decomposition optimizations

  Magnaguagno, M. C., Meneguzzi, F. & Silva, L. D., 1 Jul 2022, ArXiv, 9 p.

  Research output: Working paper › Preprint

  File

  • Decomposition 100%
  • Planning 43%
  7 Downloads (Pure)

• Goal Recognition as Reinforcement Learning

  Amado, L. R., Mirsky, R. & Meneguzzi, F., 30 Jun 2022, Proceedings of the 36th AAAI Conference on Artificial Intelligence Vol. 36 No 9 : AAAI-22 Technical Tracks 9. 9 ed. Palo Alto, California: AAAI Press, Vol. 36. p. 9644-9651 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence).

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Reinforcement learning 100%
  • Specifications 64%
  8 Citations (Scopus)

• Editorial: Advances in Goal, Plan and Activity Recognition

  Vered, M., Mirsky, R., Fraga Pereira, R. & Meneguzzi, F., 16 Mar 2022, In: Frontiers in Artificial Intelligence. 5, 861669.

  Research output: Contribution to journal › Editorial › peer-review

  Open Access

  File
  3 Citations (Scopus)

  2 Downloads (Pure)
• 2021

  Detecting Logical Relation In Contract Clauses

  Ichida, A. Y. & Meneguzzi, F., 2 Nov 2021, ArXiv, 8 p.

  Research output: Working paper › Preprint

  Open Access

  File
  6 Downloads (Pure)

• Visual Explanation for Identification of the Brain Bases for Developmental Dyslexia on fMRI Data

  Tomaz Da Silva, L., Esper, N. B., Ruiz, D. D., Meneguzzi, F. & Buchweitz, A., 9 Sept 2021, In: Frontiers in Computational Neuroscience. 15, 13 p., 594659.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Dyslexia 100%
  • Deep Learning 54%
  • Magnetic Resonance Imaging 52%
  • Brain 38%
  • Datasets 31%
  1 Citation (Scopus)

  3 Downloads (Pure)

• A Survey on Goal Recognition as Planning

  Meneguzzi, F. & Pereira, R. F., 19 Aug 2021, Proceedings of the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021. Zhou, Z-H. (ed.). International Joint Conferences on Artificial Intelligence Organization, p. 4524-4532 9 p. (IJCAI International Joint Conference on Artificial Intelligence).

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Planning 100%
  • Momentum 36%
  19 Citations (Scopus)

• Brainhack: Developing a culture of open, inclusive, community-driven neuroscience

  Gau, R., Noble, S., Heuer, K., Bottenhorn, K. L., Bilgin, I. P., Yang, Y. F., Huntenburg, J. M., Bayer, J. M. M., Bethlehem, R. A. I., Rhoads, S. A., Vogelbacher, C., Borghesani, V., Levitis, E., Wang, H. T., Van Den Bossche, S., Kobeleva, X., Legarreta, J. H., Guay, S., Atay, S. M., Varoquaux, G. P., & 31 othersHuijser, D. C., Sandström, M. S., Herholz, P., Nastase, S. A., Dumas, G., Schwab, S., Moia, S., Dayan, M., Bassil, Y., Brooks, P. P., Mancini, M., Shine, J. M., O'Connor, D., Xie, X., Poggiali, D., Friedrich, P., Heinsfeld, A. S., Riedl, L., Toro, R., Caballero-Gaudes, C., Eklund, A., Garner, K. G., Nolan, C. R., Demeter, D. V., Barrios, F. A., Merchant, J. S., McDevitt, E. A., Oostenveld, R., Meneguzzi, F., Badhwar, A. & The Brainhack Community, 2 Jun 2021, In: Neuron. 109, 11, p. 1769-1775 7 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Neurosciences 100%
  • Education 58%
  17 Citations (Scopus)

• An LP-Based Approach for Goal Recognition as Planning

  Meneguzzi, F., Pereira, R. F., Pereira, A. G. & Santos, L. R. A., 18 May 2021, 35th AAAI Conference on Artificial Intelligence (AAAI 2021): Volume 13: AAAI Technical Tracks . Association for the Advancement of Artificial Intelligence, Vol. 35(13) Part 1. p. 11939-11946 8 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 35, no. 13).

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Planning 100%
  • Combinatorial optimization 86%
  • Uncertainty 49%
  • Sensors 40%
  11 Citations (Scopus)

• Automated Design of fMRI Paradigms

  Esper, K. B. & Meneguzzi, F., 17 May 2021, Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling (ICAPS 2021). Biundo, S., Do, M., Goldman, R., Katz, M., Yang, Q. & Zhuo, H. H. (eds.). Palo Alto, California : Association for the Advancement of Artificial Intelligence, Vol. 31. p. 445-449 5 p. (Proceedings of the International Conference on Automated Planning and Scheduling, ICAPS; vol. 31, no. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Functional Magnetic Resonance Imaging 100%
  • Magnetic Resonance Imaging 89%
  • Neuroimaging 82%
  • Brain 64%
  • Paradigm 57%
  1 Citation (Scopus)

• Combining LSTMs and symbolic approaches for robust plan recognition

  Amado, L. R., Pereira, R. F. & Meneguzzi, F., 3 May 2021, 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 1634-1636 3 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS).

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  Open Access

  • Observability 100%
  • Multi agent systems 85%
  • Sensors 46%
  2 Citations (Scopus)

• Norm Conflict Identification Using a Convolutional Neural Network

  Aires, J. P. & Meneguzzi, F., 2 Apr 2021, Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XIII: COIN COINE 2017 2020. Aler Tubella, A., Cranefield, S., Frantz, C., Meneguzzi, F. & Vasconcelos, W. (eds.). Springer , Vol. 12298. (Lecture Notes in Computer Science; vol. 12298).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Convolutional neural networks 100%
  • Machine learning 16%

• Predicting Brain Age at Slice Level: Convolutional Neural Networks and Consequences for Interpretability

  Ballester, P. L., da Silva, L. T., Marcon, M., Esper, N. B., Frey, B. N., Buchweitz, A. & Meneguzzi, F., 25 Feb 2021, In: Frontiers in psychiatry. 12, 12 p., 598518.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Brain 100%
  • Neuroimaging 41%
  • Artificial Intelligence 15%
  • Machine Learning 12%
  • Drive 11%
  11 Citations (Scopus)

  3 Downloads (Pure)
• 2020

  A Tensor-Based Markov Decision Process Representation

  Kuinchtner, D., Meneguzzi, F. & Sales, A., 7 Oct 2020, Advances in Soft Computing. : 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, Mexico City, Mexico, October 12–17, 2020, Proceedings, Part I. Springer , Vol. 12468. p. 313–324 (Lecture Notes in Computer Science; vol. 12468).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Markov processes 100%
  • Tensors 93%
  • Algebra 32%
  • Reinforcement learning 31%
  • Costs 12%
  1 Citation (Scopus)

• Object-Based Goal Recognition Using Real-World Data

  Granada, R., Monteiro, J., Gavenski, N. & Meneguzzi, F., 7 Oct 2020, Advances in Soft Computing: 19th Mexican International Conference on Artificial Intelligence, MICAI 2020 Mexico Cit, Mexico, October 12-17, 2020 Proceedings, Part 1. Martínez-Villaseñor, L., Herrera-Alcántara, O., Ponce, H. & Castro-Espinoza, F. A. (eds.). Cham, Switzerland: Springer , p. 325-337 13 p. (Lecture Notes in Artificial Intelligence; vol. 12468).

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Assisted living 100%
  • Kitchens 99%
  • Cooking 88%
  • Object detection 77%
  • Experiments 26%
  4 Citations (Scopus)

• Using Self-Attention LSTMs to Enhance Observations in Goal Recognition

  Amado, L., Paludo Licks, G., Marcon, M., Fraga Pereira, R. & Meneguzzi, F., 28 Sept 2020, 2020 International Joint Conference on Neural Networks, IJCNN 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1-8 8 p. 9207597. (Proceedings of the International Joint Conference on Neural Networks).

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Recurrent neural networks 100%
  • Experiments 34%
  3 Citations (Scopus)

• SmartIX: A database indexing agent based on reinforcement learning

  Paludo Licks, G., Colleoni Couto, J., de Fátima Miehe, P., de Paris, R., Dubugras Ruiz, D. & Meneguzzi, F., 1 Aug 2020, In: Applied Intelligence. 50, 8, p. 2575-2588 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Reinforcement learning 100%
  • Data storage equipment 7%
  12 Citations (Scopus)

• Augmented Behavioral Cloning from Observation

  Monteiro, J., Gavenski, N., Granada, R., Meneguzzi, F. & Barros, R., Jul 2020, 2020 International Joint Conference on Neural Networks, IJCNN 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 9207672

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Cloning 100%
  • Demonstrations 60%
  • Sampling 26%
  4 Citations (Scopus)

• Web Planner: A Tool to Develop, Visualize, and Test Classical Planning Domains

  Magnaguagno, M. C., Pereira, R. F., Móre, M. D. & Meneguzzi, F., 26 Mar 2020, Knowledge Engineering Tools and Techniques for AI Planning. Vallati, M. & Kitchin, D. (eds.). Cham, Switzerland: Springer , p. 209-227 19 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Visualization 100%
  • Planning 82%
  • Semantics 29%

• Landmark-based approaches for goal recognition as planning

  Pereira, R. F., Oren, N. & Meneguzzi, F., Feb 2020, In: Artificial Intelligence. 279, 32 p., 103217.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • planning procedure 100%
  • Landmarks 90%
  • Planning 77%
  • planning 57%
  • heuristics 22%
  35 Citations (Scopus)

  5 Downloads (Pure)

• Using Sub-Optimal Plan Detection to Identify Commitment Abandonment in Discrete Environments

  Pereira, R. F., Oren, N. & Meneguzzi, F., Jan 2020, In: ACM Transactions on Intelligent Systems and Technology. 11, 2, 26 p., 23.

  Research output: Contribution to journal › Article › peer-review

  • Commitment 100%
  • Trace 17%
  • Landmarks 14%
  • Pursuit 13%
  • Planning 11%
  2 Citations (Scopus)

• BDI agent architectures: A survey

  de Silva, L., Meneguzzi, F. & Logan, B., 2020, Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (ed.). International Joint Conferences on Artificial Intelligence Organization, p. 4914-4921 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Computer programming languages 100%
  • Software engineering 88%
  38 Citations (Scopus)

• Energy-aware path planning for autonomous mobile robot navigation

  Maidana, R., Granada, R., Jurak, D., Magnaguagno, M., Meneguzzi, F. & Amory, A., 2020, Proceedings of the 33rd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2020. Bell, E. & Bartak, R. (eds.). The AAAI Press, p. 362-367 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Motion planning 100%
  • Mobile robots 93%
  • Navigation 79%
  • Energy management 26%
  • Robotics 19%
  1 Citation (Scopus)

• LatRec: Recognizing Goals in Latent Space

  Amado, L. & Meneguzzi, F., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. AAAI Press, p. 13747-13748 2 p.

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Unsupervised learning 100%
  • Data streams 88%
  • Planning 55%
  1 Citation (Scopus)

• Semantic Attachments for HTN Planning

  Magnaguagno, M. C. & Meneguzzi, F., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. AAAI Press, p. 9933-9940 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Semantics 100%
  • Planning 93%
  • Simulators 42%
  • Decomposition 42%
  • Electric grounding 31%
  1 Citation (Scopus)
• 2019

  Automating news summarization with sentence vectors offset

  Steinert, M., Granada, R., Aires, J. P. & Meneguzzi, F., Oct 2019, Proceedings - 2019 Brazilian Conference on Intelligent Systems, BRACIS 2019. Institute of Electrical and Electronics Engineers Inc., p. 102-107 6 p. 8924017. (Proceedings - 2019 Brazilian Conference on Intelligent Systems, BRACIS 2019).

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Summarization 100%
  • Text 62%
  • News 55%
  • Semantics 45%
  • Internet 45%

• Classification of contractual conflicts via learning of semantic representations

  Aires, J. P., Granada, R., Monteiro, J., Barros, R. C. & Meneguzzi, F., 2019, 18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 1764-1766 3 p.

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Semantics 100%
  • Machine learning 17%
  • Specifications 15%
  2 Citations (Scopus)

• ConCon: A contract conflict identifier: Demonstration

  Aires, J. P., Granada, R. & Meneguzzi, F., 2019, 18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 2327-2329 3 p.

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Demonstrations 100%
  • Specifications 9%
  1 Citation (Scopus)

• GADIS: A genetic algorithm for database index selection

  Neuhaus, P., Couto, J., Wehrmann, J., Ruiz, D. D. & Meneguzzi, F., 2019, Proceedings - SEKE 2019: 31st International Conference on Software Engineering and Knowledge Engineering. Knowledge Systems Institute Graduate School, p. 39-42 4 p. (Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE; vol. 2019-July).

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  Open Access

  • Genetic algorithms 100%
  • Data storage equipment 17%
  • Experiments 10%
  5 Citations (Scopus)

• Landmark-enhanced heuristics for goal recognition in incomplete domain models

  Pereira, R. F., Pereira, A. G. & Meneguzzi, F., 2019, Proceedings of the 29th International Conference on Automated Planning and Scheduling, ICAPS 2019. Benton, J., Lipovetzky, N., Onaindia, E., Smith, D. E. & Srivastava, S. (eds.). AAAI Press, p. 329-337 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Heuristics 100%
  • Ablation 77%
  • Large dataset 68%
  • Planning 40%
  • Domain Knowledge 30%
  12 Citations (Scopus)

• Online probabilistic goal recognition over nominal models

  Pereira, R. F., Vered, M., Meneguzzi, F. & Ramírez, M., 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence Organization, p. 5547-5553 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2019-August).

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  Open Access

  • Probability distributions 100%
  • Statistical Models 96%
  • Deep learning 94%
  • Dynamical systems 86%
  • Set theory 67%
  15 Citations (Scopus)

• Using scene context to improve action recognition

  Monteiro, J., Granada, R., Meneguzzi, F. & Barros, R. C., 2019, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 23rd Iberoamerican Congress, CIARP 2018, Proceedings. Vera-Rodriguez, R., Fierrez, J. & Morales, A. (eds.). Springer-Verlag, p. 954-961 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11401 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Action Recognition 100%
  • Context 30%
  • Architecture 21%
  • Smart Home 21%
  • Monitoring 13%
• 2018

  Q-Table compression for reinforcement learning

  Amado, L. & Meneguzzi, F., Dec 2018, In: The Knowledge Engineering Review. 33, p. 1-21 21 p., e22.

  Research output: Contribution to journal › Article › peer-review

  • Reinforcement learning 100%
  • Learning algorithms 41%

• Sensor Placement for Plan Monitoring using Genetic Programming

  Meneguzzi, F., Pereira, R. F. & Oren, N., Nov 2018, PRIMA 2018: Principles and Practice of Multi-Agent Systems. PRIMA 2018. Miller, T., Oren, N., Sakurai, Y., Noda, I., Savarimuthu, B. T. R. & Son, T. C. (eds.). Springer , p. 544-551 8 p. (Lecture Notes in Computer Science; vol. 11224).

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  Open Access

  File

  • Genetic programming 100%
  • Monitoring 48%
  • Sensors 44%
  • Semantics 11%
  • Planning 10%
  1 Citation (Scopus)

  4 Downloads (Pure)

• A Deep Learning Approach to Classify Aspect-Level Sentiment using Small Datasets

  Aires, J. P., Padilha, C., Quevedo, C. & Meneguzzi, F., 10 Oct 2018, 2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8489760. (Proceedings of the International Joint Conference on Neural Networks; vol. 2018-July).

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Deep learning 100%
  • Sentiment analysis 62%
  • Large dataset 60%
  • Feedback 35%
  9 Citations (Scopus)

• Goal Recognition in Latent Space

  Amado, L., Pereira, R. F., Aires, J., Magnaguagno, M., Granada, R. & Meneguzzi, F., 10 Oct 2018, 2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8489653. (Proceedings of the International Joint Conference on Neural Networks; vol. 2018-July).

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Unsupervised learning 100%
  • Data streams 88%
  • Planning 55%
  32 Citations (Scopus)

• Measuring Semantic Similarity between Sentences Using A Siamese Neural Network

  Ichida, A. Y., Meneguzzi, F. & Ruiz, D. D., 10 Oct 2018, 2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8489433. (Proceedings of the International Joint Conference on Neural Networks; vol. 2018-July).

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Semantics 100%
  • Neural networks 88%
  • Network architecture 45%
  • Redundancy 41%
  21 Citations (Scopus)

• Norm Conflict Identification using Vector Space Offsets

  Aires, J. P., Monteiro, J., Granada, R. & Meneguzzi, F., 10 Oct 2018, 2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8489119. (Proceedings of the International Joint Conference on Neural Networks; vol. 2018-July).

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Vector spaces 100%
  4 Citations (Scopus)

• Identification of autism spectrum disorder using deep learning and the ABIDE dataset

  Heinsfeld, A. S., Franco, A. R., Craddock, R. C., Buchweitz, A. & Meneguzzi, F., Aug 2018, In: NeuroImage: Clinical. 17, p. 16-23 8 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Deep Learning 100%
  • Autism Spectrum Disorder 75%
  • Autistic Disorder 72%
  • Neuroimaging 66%
  • Datasets 57%

• Optimizing UCT for settlers of catan

  De Arruda Rubin De Lima, G., Fortes Paz, B. & Rech Meneguzzi, F., 28 Jun 2018, Proceedings - 2017 Brazilian Symposium on Computer Games and Digital Entertainment, SBGames 2017. IEEE Computer Society, p. 164-172 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Autonomous agents 100%