Dimitri Ognibene

Orcid: 0000-0002-9454-680X

According to our database1, Dimitri Ognibene authored at least 58 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Embedding Educational Narrative Scripts in a Social Media Environment.
IEEE Trans. Learn. Technol., 2024

Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach.
CoRR, 2024

Generalizability analysis of deep learning predictions of human brain responses to augmented and semantically novel visual stimuli.
CoRR, 2024

Learning mental states estimation through self-observation: a developmental synergy between intentions and beliefs representations in a deep-learning model of Theory of Mind.
CoRR, 2024

Multi-UAV active sensing for precision agriculture via Bayesian fusion.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

In Search of Compositional Multi-Task Deep Architectures for Information Theoretic Field Exploration.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023
Special issue on world models and predictive coding in robotics (part II).
Adv. Robotics, October, 2023

Special issue on world models and predictive coding in robotics (Part I).
Adv. Robotics, July, 2023

World models and predictive coding for cognitive and developmental robotics: frontiers and challenges.
Adv. Robotics, July, 2023

Moving Beyond Benchmarks and Competitions: Towards Addressing Social Media Challenges in an Educational Context.
Datenbank-Spektrum, March, 2023

Exploration and Comparison of Deep Learning Architectures to Predict Brain Response to Realistic Pictures.
CoRR, 2023

Developing Effective Educational Chatbots with ChatGPT prompts: Insights from Preliminary Tests in a Case Study on Social Media Literacy.
CoRR, 2023

Action of the Euclidean versus Projective group on an agent's internal space in curiosity driven exploration: a formal analysis.
CoRR, 2023

Exploring Undergraduates' Attitudes Towards ChatGPT. Is AI Resistance Constraining the Acceptance of Chatbot Technology?
Proceedings of the Higher Education Learning Methodologies and Technologies Online, 2023

AI and Narrative Scripts to Educate Adolescents About Social Media Algorithms: Insights About AI Overdependence, Trust and Awareness.
Proceedings of the Responsive and Sustainable Educational Futures, 2023

Human body odour modulates neural processing of faces: effective connectivity analysis using EEG.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

Learning to Prompt in the Classroom to Understand AI Limits: A Pilot Study.
Proceedings of the AIxIA 2023 - Advances in Artificial Intelligence, 2023

2022
Challenging social media threats using collective well-being-aware recommendation algorithms and an educational virtual companion.
Frontiers Artif. Intell., 2022

Editorial: Active Vision and Perception in Human-Robot Collaboration.
Frontiers Neurorobotics, 2022

Robot Learning Theory of Mind through Self-Observation: Exploiting the Intentions-Beliefs Synergy.
CoRR, 2022

What is the role of the next generation of cognitive robotics?
Adv. Robotics, 2022

Empirically Investigating Virtual Learning Companions to Enhance Social Media Literacy.
Proceedings of the Higher Education Learning Methodologies and Technologies Online, 2022

Yes, Echo-Chambers Mislead You Too: A Game-Based Educational Experience to Reveal the Impact of Social Media Personalization Algorithms.
Proceedings of the Higher Education Learning Methodologies and Technologies Online, 2022

The "Courage Companion" - An AI-Supported Environment for Training Teenagers in Handling Social Media Critically and Responsibly.
Proceedings of the Higher Education Learning Methodologies and Technologies Online, 2022

The Role of Educational Interventions in Facing Social Media Threats: Overarching Principles of the COURAGE Project.
Proceedings of the Higher Education Learning Methodologies and Technologies Online, 2022

2021
Challenging Social Media Threats using Collective Well-being Aware Recommendation Algorithms and an Educational Virtual Companion.
CoRR, 2021

MB-Courage @ EXIST: GCN Classification for Sexism Identification in Social Networks.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2021) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2021), 2021

biCourage: ngram and syntax GCNs for Hate Speech detection.
Proceedings of the Working Notes of FIRE 2021, 2021

Narrative Scripts Embedded in Social Media Towards Empowering Digital and Self-protection Skills.
Proceedings of the Technology-Enhanced Learning for a Free, Safe, and Sustainable World, 2021

Monitoring and Mapping of Crop Fields with UAV Swarms Based on Information Gain.
Proceedings of the Distributed Autonomous Robotic Systems - 15th International Symposium, 2021

2020
From Psychological Intention Recognition Theories to Adaptive Theory of Mind for Robots: Computational Models.
Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 2020

Human Chemosignals Modulate Interactions Between Social and Emotional Brain Areas.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019
Addiction beyond pharmacological effects: The role of environment complexity and bounded rationality.
Neural Networks, 2019

Proactive Intention Recognition for Joint Human-Robot Search and Rescue Missions Through Monte-Carlo Planning in POMDP Environments.
Proceedings of the Social Robotics - 11th International Conference, 2019

Transferring Adaptive Theory of Mind to Social Robots: Insights from Developmental Psychology to Robotics.
Proceedings of the Social Robotics - 11th International Conference, 2019

A Classification Methodology Based on Subspace Graphs Learning.
Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019

Functional advantages of an adaptive Theory of Mind for robotics: a review of current architectures.
Proceedings of the 11th Computer Science and Electronic Engineering Conference, 2019

Binary Classification Using Pairs of Minimum Spanning Trees or N-Ary Trees.
Proceedings of the Computer Analysis of Images and Patterns, 2019

2017
Towards event-based MCTS for autonomous cars.
Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

2015
STARE: Spatio-Temporal Attention Relocation for Multiple Structured Activities Detection.
IEEE Trans. Image Process., 2015

Ecological Active Vision: Four Bioinspired Principles to Integrate Bottom-Up and Adaptive Top-Down Attention Tested With a Simple Camera-Arm Robot.
IEEE Trans. Auton. Ment. Dev., 2015

2014

2013
The Coordinating Role of Language in Real-Time Multimodal Learning of Cooperative Tasks.
IEEE Trans. Auton. Ment. Dev., 2013

Bounded Recursive Self-Improvement.
CoRR, 2013

Learning Epistemic Actions in Model-Free Memory-Free Reinforcement Learning: Experiments with a Neuro-robotic Model.
Proceedings of the Biomimetic and Biohybrid Systems, 2013

Time to Change: Deciding When to Switch Action Plans during a Social Interaction.
Proceedings of the Biomimetic and Biohybrid Systems, 2013

Towards Active Event Recognition.
Proceedings of the IJCAI 2013, 2013

Hierarchies for Embodied Action Perception.
Proceedings of the Computational and Robotic Models of the Hierarchical Organization of Behavior, 2013

2012
Towards Contextual Action Recognition and Target Localization with Active Allocation of Attention.
Proceedings of the Biomimetic and Biohybrid Systems - First International Conference, 2012

2011
Learning to Grasp Information with Your Own Hands.
Proceedings of the Towards Autonomous Robotic Systems - 12th Annual Conference, 2011

2010
Reading as active sensing: a computational model of gaze planning during word recognition.
Frontiers Neurorobotics, 2010

Learning to Look in Different Environments: An Active-Vision Model Which Learns and Readapts Visual Routines.
Proceedings of the From Animals to Animats 11, 2010

How can bottom-up information shape learning of top-down attention-control skills?
Proceedings of the 2010 IEEE 9th International Conference on Development and Learning, 2010

2008

A Reinforcement-Learning Model of Top-Down Attention Based on a Potential-Action Map.
Proceedings of the Challenge of Anticipation, 2008

Integrating Epistemic Action (Active Vision) and Pragmatic Action (Reaching): A Neural Architecture for Camera-Arm Robots.
Proceedings of the From Animals to Animats 10, 2008

2006
A Model of Reaching that Integrates Reinforcement Learning and Population Encoding of Postures.
Proceedings of the From Animals to Animats 9, 2006

2005
Fuzzy-based Schema Mechanisms in AKIRA.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005


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