Felipe Rech Meneguzzi
Pontifícia Universidade Católica do Rio Grande do SulPPGCC
Associated researcher
Information extracted from Lattes platform
Last update: 2021/05/06
Degrees
Ph.D. Computer Science na University of London em 2009Ph.D. Computer Science na University of Southampton em 2009
M.Sc. Ciência da Computação na Pontifícia Universidade Católica do Rio Grande do Sul em 2003
B.Sc. Ciência da Computação na Pontifícia Universidade Católica do Rio Grande do Sul em 2001
Current projects
| 2021 a Atual | Automated Planning for Optimal Data Pipeline Instantiation Integrantes: Felipe Rech Meneguzzi (coordenador), Leonardo Rosa Amado, Dalvan Jair Griebler. |
| 2018 a Atual | Reconhecimento de Atividades e Objetos no Mundo Real Integrantes: Felipe Rech Meneguzzi (coordenador), André Grahl Pereira. |
Current applied research projects
Recent publications
Articles in journals
Predicting Brain Age at Slice Level: Convolutional Neural Networks and Consequences for Interpretability2021. Frontiers in Psychiatry.
SmartIX: A database indexing agent based on reinforcement learning
2020. APPLIED INTELLIGENCE (DORDRECHT. ONLINE).
Landmark-based approaches for goal recognition as planning
2020. ARTIFICIAL INTELLIGENCE.
Using Sub-Optimal Plan Detection to Identify CommitmentAbandonment in Discrete Environments
2020. ACM Transactions on Intelligent Systems and Technology.
GoCo: planning expressive commitment protocols
2018. AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS.
Improving Action Recognition Using Temporal Regions
2018. Journal of Information and Data Management - JIDM.
Identification of autism spectrum disorder using deep learning and the ABIDE dataset
2018. NeuroImage-Clinical.
Team PUCRS: a decentralised multi-agent solution for the agents in the city scenario
2018. INTERNATIONAL JOURNAL OF AGENT-ORIENTED SOFTWARE ENGINEERING (PRINT).
Q-Table compression for reinforcement learning
2018. KNOWLEDGE ENGINEERING REVIEW.
Applying ontologies to the development and execution of Multi-Agent Systems
2017. Web Intelligence.
BioPlan: Classical Planning with Crowd simulation
2017. SBC JOURNAL ON 3D INTERACTIVE SYSTEMS.
Predicting Plan Failure by Monitoring Action Sequences and Duration
2017. ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL.
Norm conflict identification in contracts
2017. ARTIFICIAL INTELLIGENCE AND LAW (DORDRECHT. PRINT).
Papers in conferences
Landmark-based approaches for goal recognition as planning2021. International Conference on Automated Planning and Scheduling.
A Survey on Goal Recognition as Planning
2021. International Joint Conference on Artificial Intelligence.
Automated design of fMRI paradigms
2021. International Conference on Automated Planning and Scheduling.
An LP-Based Approach for Goal Recognition as Planning
2021. AAAI Conference on Artificial Intelligence.
Semantic Attachments for HTN Planning
2020. Conference on Artificial Intelligence.
BDI Agent Architectures: A Survey
2020. International Joint Conference on Artificial Intelligence.
Energy-Aware Path Planning for Autonomous Mobile Robot Navigation
2020. International Florida Artificial Intelligence Conference.
The More the Merrier?! Evaluating the Effect of Landmark Extraction Algorithms on Landmark-Based Goal Recognition
2020. Workshop on Plan, Activity, and Intent Recognition.
Using Self-Attention LSTMs to Enhance Observations in Goal Recognition
2020. International Joint Conference on Neural Networks.
Augmented Behavioral Cloning from Observation
2020. International Joint Conference on Neural Networks.
Imitating Unknown Policies via Exploration
2020. British Machine Vision Conference.
Object-Based Goal Recognition Using Real-World Data
2020. Mexican International Conference on Artificial Intelligence.
Automated Database Indexing Using Model-Free Reinforcement Learning
2020. Scheduling and Planning Applications woRKshop.
Planning Domain Generation from Natural Language Step-by-Step Instructions
2020. Workshop on Knowledge Engineering for Planning and Scheduling.
A Tensor-based Markov Decision Process Representation
2020. Mexican International Conference on Artificial Intelligence.
Goal Recognition over Nominal Models
2019. Workshop on Planning and Robotics.
An LSTM-Based Approach for Goal Recognition in Latent Space
2019. Workshop on Plan, Activity, and Intent Recognition (PAIR@AAAI).
Online Probabilistic Goal Recognition over Nominal Models
2019. International Joint Conference on Artificial Intelligence.
Robust Goal Recognition with Operator-Counting Heuristics
2019. Workshop on Explainable AI Planning.
HTN Planning with Semantic Attachments
2019. Workshop on Hierarchical Planning.
Automating News Summarizationwith Sentence Vectors Offset
2019. Brazilian Conference on Intelligent Systems (BRACIS).
Landmark-Enhanced Heuristics for Goal Recognition in Incomplete Domain Models
2019. International Conference on Automated Planning and Scheduling (ICAPS).
A Deep Learning Approach to Classify Aspect-Level Sentiment using Small Datasets
2018. International Joint Conference on Neural Networks (IJCNN).
Goal Recognition in Latent Space
2018. International Joint Conference on Neural Networks (IJCNN).
Online Goal Recognition as Reasoning over Landmarks
2018. AAAI Workshop on Plan, Activity, and Intent Recognition (PAIR).
Norm Conflict Identification using Vector Space Offsets
2018. International Joint Conference on Neural Networks (IJCNN).
Measuring Semantic Similarity Between Sentences Using Siamese Neural Network
2018. International Joint Conference on Neural Networks (IJCNN).
Goal Recognition in Incomplete STRIPS Domain Models
2018. AAAI Workshop on Plan, Activity, and Intent Recognition (PAIR).
An Operational Semantics for a Fragment of PRS
2018. International Joint Conference on Artificial Intelligence.
Sensor Placement for Plan Monitoring using Genetic Programming
2018. International Conference on Principles and Practice of Multi-Agent Systems.
Using Scene Context to Improve Action Recognition
2018. Iberoamerican Congress on Pattern Recognition.
Norm Conflict Identification using Deep Learning
2017. International Workshop on Coordination, Organisations, Institutions and Norms (COIN).
Hybrid Activity and Plan Recognition for Video Streams
2017. Workshop on Plan, Activity, and Intent Recognition.
Virtual Guide Dog: An Application to Support Visually-Impaired People through Deep Convolutional Neural Networks
2017. International Joint Conference on Neural Networks (IJCNN).
Deep Neural Networks for Kitchen Activity Recognition
2017. International Joint Conference on Neural Networks (IJCNN).
Forecasting demand with limited information using Gradient Tree Boosting
2017. Florida Artificial Intelligence Research Society Conference.
A Deep Neural Architecture for Kitchen Activity Recognition
2017. Florida Artificial Intelligence Research Society Conference.
Reinforcement learning applied to RTS games
2017. Adaptive Learning Agents (ALA).
Norm Identification in Jason using a Bayesian Approach
2017. Workshop on Multi-agent-based Simulation (MABS).
A Bayesian Approach to Norm Identification
2017. Workshop on Multiagent Interaction without Prior Coordination (MIPC).
A Plan Optimality Monitoring Approach to Detect Commitment Abandonment
2017. International Workshop on Coordination, Organisations, Institutions and Norms (COIN).
Temporal Regions for Activity Recognition
2017. International Conference on Artificial Neural Networks.
WEB PLANNER: A Tool to Develop Classical Planning Domains and Visualize Heuristic State-Space Search
2017. Workshop on User Interfaces and Scheduling and Planning.
Method Composition through Operator Pattern Identification
2017. Workshop on Knowledge Engineering for Planning and Scheduling.
Bounded-Monitor Placement in Normative Environments
2017. Linked Democracy: Artificial Intelligence for Democratic Innovation.
Improving Activity Recognition using Temporal Regions
2017. Symposium on Knowledge Discovery, Mining and Learning.
A study on irony within the context of 7x1-PT corpus
2017. Brazilian Symposium in Information and Human Language Technology.
Optimizing UCT for Settlers of Catan
2017. Simpósio Brasileiro de Jogos e Entretenimento Digital.
Landmark-Based Heuristics for Goal Recognition
2017. Conference on Artificial Intelligence (AAAI).
Online Goal Recognition Combining Landmarks and Planning
2017. Goal Reasoning Workshop (GRW@IJCAI).
Monitoring Plan Optimality using Landmarks and Domain-Independent Heuristics
2017. Workshop on Plan, Activity, and Intent Recognition.
Norm-based behaviour modification in BDI agents
2009. The Eighth International Conference on Autonomous Agents and Multiagent Systems.
Extended abstracts in conferences
Combining LSTMs and Symbolic Approaches for Robust Plan Recognition2021. International Conference on Autonomous Agents and Multiagent Systems.
Classification of Contractual Conflicts via Learning of Semantic Representations
2019. International Conference on Autonomous Agents and Multiagent Systems (AAMAS).
LatRec: Recognizing Goals in Latent Space
2019. International Conference on Automated Planning and Scheduling.
GADIS: A Genetic Algorithm for Database Index Selection
2019. International Conference on Software Engineering and Knowledge Engineering.
Develop, Visualize and Test Classical Planning Descriptions in your Browser
2019. International Conference on Automated Planning and Scheduling.
ConCon: A Contract Conflict Identifier
2019. International Conference on Autonomous Agents and Multiagent Systems.
Goal Recognition in Incomplete Domain Models
2018. AAAI Conference on Artificial Intelligence.
Towards Online Goal Recognition Combining Goal Mirroring and Landmarks
2018. International Conference on Autonomous Agents and Multiagent Systems.
LSTM-Based Goal Recognition in Latent Space
2018. 2018 Workshop on Planning and Learning.
Detecting Commitment Abandonment by Monitoring Plan Execution
2017. International Conference on Autonomous Agents and Multiagent Systems (AAMAS).
A Deep Learning Approach for Norm Conflict Identification
2017. International Conference on Autonomous Agents and Multiagent Systems (AAMAS).
Planning in a Normative System
2017. International Workshop on Coordination, Organisations, Institutions and Norms (COIN).
Abstracts in conferences
LatRec: Recognizing Goals in Latent Space2020. Conference on Artificial Intelligence.
Q-Table compression for reinforcement learning
2017. Florida Artificial Intelligence Research Society Conference.
Challenges in anticipatory information management under network constraints
2010. The Fourth Annual Conference of the International Technology Alliance.
Implementação de Editores Gráficos Amparados por Banco de Dados
2000. XII Salão de Iniciação Científica.
Maple V como ferramenta de ensino de disciplinas de matemática
1998. II Jornada de Iniciação Científica da PUCRS.
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Current students
MS
Gabriel Waengertner Henrique. TBD. Início: 2021. Pontifícia Universidade Católica do Rio Grande do Sul (Orientador principal)Maurício Steinert. Authoring Character-driven Animated Stories: Animating in Physics-based Environments With Learning Techniques. Início: 2021. Pontifícia Universidade Católica do Rio Grande do Sul (Orientador principal)
Katherine Bianchini Esper. Automated planning for fMRI paradigm design. Início: 2020. Pontifícia Universidade Católica do Rio Grande do Sul (Orientador principal)
Guilherme Villagran Barreto de Azevedo. Hybrid Planning for Robot Control. Início: 2016. Pontifícia Universidade Católica do Rio Grande do Sul (Orientador principal)
PhD
Daniela Kuinchtner. Operator Counting Heuristics for HTN Planning. Início: 2021. Pontifícia Universidade Católica do Rio Grande do Sul (Orientador principal)Laura Angélica Tomaz da Silva. Towards deep learning efficiency in medical imagining by transfer learning. Início: 2019. Pontifícia Universidade Católica do Rio Grande do Sul (Co orientador)
Juarez Monteiro dos Santos Júnior. Imitation Learning for Videogame Playing. Início: 2018. Pontifícia Universidade Católica do Rio Grande do Sul (Co orientador)
See all students in Lattes
