Publications

Churamani, Dimlioglu, Parisi, Gunes. (2023)

Continual Facial Expression Recognition: A Benchmark.arXiv preprint arXiv:2305.06448
Lomonaco et al. (2021)Avalanche: an end-to-end library for continual learning.IEEE/CVF Conference on Computer Vision and Pattern Recognition.
Parisi, G.I. (2020)Human Action Recognition and Assessment via Deep Neural Network Self-Organization.Modelling Human Motion. Springer Nature [arXiv:2001.05837]
Parisi, G.I., Lomonaco, V. (2020)Online Continual Learning on Sequences.Recent Trends in Learning From Data, pp. 197-221. Springer Nature [arXiv:2003.09114]
Barros, P., Eppe, M., Parisi, G.I., Wermter, S. (2019)Expectation Learning for Stimulus Prediction Across Modalities Improves Unisensory Classification.Frontiers in Robotics and AI,  6:137.
Barros, P., Parisi, G.I., Wermter, S. (2019) A Personalized Affective Memory Model for Improving Emotion Recognition.International Conference on Machine Learning (ICML'19), Long Beach, CA
Parisi, G.I., Kemker, R., Part, J.L., Kanan, C., Wermter, S. (2019)Continual Lifelong Learning with Neural Networks: A Review.Neural Networks 133:54-71 [arXiv:1802.07569]
Mici, L., Parisi, G.I., Wermter, S. (2019)Compositional Learning of Human Activities With a Self-Organizing Neural Architecture.Frontiers in Robotics and AI, 6:72.
Parisi, G.I., Tani, J., Weber, C., Wermter, S. (2018)Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization.Frontiers in Neurorobotics, 12:78 [arXiv:1805.10966]
Mici, L., Parisi, G.I., Wermter, S. (2018)An Incremental Self-Organizing Architecture for Sensorimotor Learning and Prediction.IEEE Transactions on Cognitive and Developmental Systems [arXiv:1712.08521]
Mici, L., Parisi, G.I., Wermter, S. (2018)A self-organizing neural network architecture for learning human-object interactions.Neurocomputing 307:14-24 [arXiv:1710.01916]
Parisi, G.I., Ji, X., Wermter, S. (2018) On the role of neurogenesis in overcoming catastrophic forgetting.NeurIPS'18, Workshop on Continual Learning, Montreal, Canada [arXiv:1811.02113]
Parisi, G.I., Barros, P., Fu, D., Magg., S. Wu, H., Liu, X., Wermter, S. (2018) A Neurorobotic Experiment for Crossmodal Conflict Resolution in Complex Environments.IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'18), Madrid, Spain [arXiv:1802.10408]
Tong, J., Parisi, G.I., Wermter, S., Röder, B. (2018)Closing the loop on multisensory interactions: A neural architecture for multisensory causal inference and recalibration.arXiv:1802.06591
Cruz, F., Parisi, G.I., Wermter, S. (2018)Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning.IEEE International Joint Conference on Neural Networks (IJCNN)'18, Rio de Janeiro, Brazil.
Mici, L., Parisi, G.I., Wermter, S. (2018) Recognition and Prediction of Human-Object Interactions with a Self-Organizing Architecture.IEEE International Joint Conference on Neural Networks (IJCNN)'18, Rio de Janeiro, Brazil.
Barros, P., Parisi, G.I., Fu, D., Liu, X., Wermter, S. (2018) Expectation Learning and Crossmodal Modulation with a Deep Adversarial Network.IEEE International Joint Conference on Neural Networks (IJCNN)'18, Rio de Janeiro, Brazil.
Parisi, G.I., Tani, J., Weber, C., Wermter, S. (2017)Lifelong Learning of Human Actions with Deep Neural Network Self-Organization.Neural Networks 96:137-149.
Barros, P., Parisi, G.I., Weber, C., Wermter, S. (2017)Emotion-modulated Attention Improves Expression Recognition: A Deep Learning Model.Neurocomputing 253:104-114.
Elfaramawy, N., Barros, P., Parisi, G.I., Wermter, S. (2017) Emotion Recognition from Body Expressions with a Neural Network Architecture.International Conference on Human Agent Interaction (HAI), pages 143–149.
Parisi, G.I., Barros, P., Kerzel, M., Wu, H., Yang, G., Li, Z., Liu, X., Wermter, S. (2017) A computational model of crossmodal processing for conflict resolution. IEEE Conference on Development and Learning and on Epigenetic Robotics (ICDL-EPIROB), pages 33-38, Lisbon, Portugal.
Parisi, G.I., Wermter, S. (2017) Lifelong Learning of Action Representations with Deep Neural Self-Organization.AAAI Spring Symposium Series, pages 608-612, Palo Alto, CA, USA.
Parisi, G.I., Barros, P., Wu, H., Yang, G., Li, Z., Liu, X., Wermter, S. (2017) A Deep Neural Model for Emotion- driven Multimodal Attention.AAAI Spring Symposium Series, pages 482-485, Palo Alto, CA, USA.
Parisi, G.I., Tani, J., Weber, C., Wermter, S. (2016)Emergence of Multimodal Action Representations from Neural Network Self-Organization.Cognitive Systems Research 43:208-221.
Parisi, G.I., Wermter, S. (2016)A Neurocognitive Robot Assistant for Robust Event Detection.Trends in Ambient Intelligent Systems: Role of Computational Intelligence, Series "Studies in Computational Intelligence", pp. 1-28, Springer Nature
Cruz, F., Parisi, G.I., Twiefel, J., Wermter, S. (2016) Multi-Modal Integration of Dynamic Audiovisual Patterns for an Interactive Reinforcement Learning Scenario.IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 759-766, Daejeon, Korea.
Mici, L., Parisi, G.I., Wermter, S. (2016) Recognition of Transitive Actions with Hierarchical Neural Network Learning.Intl. Conf. on Artificial Neural Networks (ICANN), pages 472-479, Barcelona, Spain.
Parisi, G.I., Magg, S., Wermter, S. (2016) Human Motion Assessment in Real Time Using Recurrent Self-Organization. IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pages 71-76, New York, US.
Cruz, F., Parisi, G.I., Wermter, S. (2016) Learning Contextual Affordances with an Associative Neural Architecture. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), pages 665-670, Bruges, Belgium.
Parisi, G.I., Weber, C., Wermter, S. (2015) Self-Organizing Neural Integration of Pose-Motion Features for Human Action Recognition.Frontiers in Neurorobotics 9(3).
Parisi, G.I., Bauer, J., Strahl, E., Wermter, S. (2015)A Multi-modal Approach for Assistive Humanoid Robots.IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Workshop on Multimodal Semantics for Robotics Systems, Hamburg, Germany.
Parisi, G.I., v. Stosch, F., Magg, S., Wermter, S. (2015)Learning Human Motion Feedback with Neural Self-Organization.International Joint Conference on Neural Networks (IJCNN), pp. 2973-2978, Killarney, Ireland.
Borghetti Soares, M., Barros, P., Parisi, G.I., Wermter, S. (2015)Learning Objects from RGB-D Sensors using Point Cloud-based Neural Networks.European Symposium on Artifical Neural Networks, Computational Intelligence and Machine Learning (ESANN), pages 439-444, Bruges, Belgium.
Barros, P., Parisi, G.I., Jirak D. and Wermter, S. (2014) Real-time Gesture Recognition Using a Humanoid Robot with a Deep Neural Architecture. IEEE-RAS International Conference on Humanoid Robots (Humanoids), pages 83-88, Madrid, Spain.
Parisi, G.I., Weber, C., Wermter, S. (2014) Human Action Recognition with Hierarchical Growing Neural Gas Learning.Intl. Conf. on Artificial Neural Networks (ICANN), pages 89-96, Springer Heidelberg. Hamburg, Germany.
Parisi, G.I., Jirak, D., Wermter, S. (2014) HandSOM - Neural Clustering of Hand Motion for Gesture Recognition in Real Time. IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pages 981-986, Edinburgh, Scotland, UK.
Parisi, G.I., Barros, P., Wermter, S. (2014) FINGeR: Framework for Interactive Neural-based Gesture Recognition. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), pages 443-447, Bruges, Belgium.
Parisi, G.I., Wermter, S. (2013) Hierarchical SOM-Based Detection of Novel Behavior for 3D Human Tracking. IEEE International Joint Conference on Neural Networks (IJCNN), pages 1380-1387, Dallas, US.