Natalia Díaz Rodríguez

Universidad de Granada

Publicaciones

CUBIC: Unsupervised Detection of Conceptual Biases via Vision-Language Embeddings

Information Systems Frontiers

On the disagreement problem in Human-in-the-Loop federated machine learning

Journal of Industrial Information Integration

Generating Physically-Consistent Satellite Imagery for Climate Visualizations

IEEE Transactions on Geoscience and Remote Sensing

Generating Physically-Consistent Satellite Imagery for Climate Visualizations

ArXiv

On generating trustworthy counterfactual explanations

Information Sciences

Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning

Cognitive Computation

Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation

Information Fusion

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

Information Fusion

Gender and sex bias in COVID-19 epidemiological data through the lens of causality

Information Processing & Management

Responsible and human centric AI-based insurance advisors

Information Processing & Management

Towards a more efficient computation of individual attribute and policy contribution for post-hoc explanation of cooperative multi-agent systems using Myerson values

Knowledge-Based Systems

Capabilities, Limitations and Challenges of Style Transfer with CycleGANs: A Study on Automatic Ring Design Generation

Lecture Notes in Computer Science

Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning With Shapley Values

IEEE Computational Intelligence Magazine

Credit Risk Scoring Forecasting Using a Time Series Approach
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case
AUTHORS: Díaz-Rodríguez, N.; Lamas, A.; Sanchez, J.; Franchi, G.; Donadello, I.; Tabik, S.; Filliat, D.; Cruz, P.; Montes, R.; Herrera, F.

Information Fusion

Explaining Aha! moments in artificial agents through IKE-XAI: Implicit Knowledge Extraction for eXplainable AI

Neural Networks

Feature contribution alignment with expert knowledge for artificial intelligence credit scoring

Signal, Image and Video Processing

Feature contribution alignment with expert knowledge for artificial intelligence credit scoring (May, 10.1007/s11760-022-02239-7, 2022)

Signal, Image and Video Processing

Greybox XAI: A Neural-Symbolic learning framework to produce interpretable predictions for image classification

Knowledge-Based Systems

Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification

ArXiv

Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence

Information Fusion

OG-SGG: Ontology-Guided Scene Graph Generation-A Case Study in Transfer Learning for Telepresence Robotics

IEEE Access

OG-SGG: Ontology-Guided Scene Graph Generation. A Case Study in Transfer Learning for Telepresence Robotics

ArXiv

PLENARY: Explaining black-box models in natural language through fuzzy linguistic summaries

Information Sciences

Sectorial Analysis Impact on the Development of Credit Scoring Machine Learning Models

Proceedings of International Conference on Management of Digital Ecosystems, Medes

Towards a more efficient computation of individual attribute and policy contribution for post-hoc explanation of cooperative multi-agent systems using Myerson values

ArXiv

A Practical Tutorial on Explainable AI Techniques

ArXiv

Explainability in deep reinforcement learning

Knowledge-Based Systems

Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey

ArXiv

Human-Centered Artificial Intelligence for Designing Accessible Cultural Heritage

Applied Sciences

Physics-informed GANs for Coastal Flood Visualization

ArXiv

Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges

Information Fusion

Demonstration Guided Actor-Critic Deep Reinforcement Learning for Fast Teaching of Robots in Dynamic Environments

IFAC-PapersOnLine

DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics

ArXiv

Egoshots, an ego-vision life-logging dataset and semantic fidelity metric to evaluate diversity in image captioning models

ArXiv

Explainability in Deep Reinforcement Learning

ArXiv

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

Information Fusion

Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities

Frontiers in Big Data

Should artificial agents ask for help in human-robot collaborative problem-solving?

ArXiv

Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges

ArXiv

Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer

ArXiv

Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics

ArXiv

Deep unsupervised state representation learning with robotic priors: A robustness analysis

Proceedings of the International Joint Conference on Neural Networks

DisCoRL: Continual Reinforcement Learning via Policy Distillation

ArXiv

Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI

ArXiv

RDF Stores for Enhanced Living Environments: An Overview
Towards Explainable Neural-Symbolic Visual Reasoning

ArXiv

Datil: Learning Fuzzy Ontology Datatypes

IPMU 2018: 17th Information Processing and Management of Uncertainty in Knowledge-Based Systems Conference. Cádiz.

Don’t forget, there is more than forgetting: new metrics for Continual Learning

ArXiv

Intelligent Drone Swarm for Search and Rescue Operations at Sea

ArXiv

Open-ended learning: A conceptual framework based on representational redescription

Frontiers in Neurorobotics

S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning

ArXiv

State representation learning for control: An overview

Neural Networks

State Representation Learning for Control: An Overview
An Ontology for Wearables Data Interoperability and Ambient Assisted Living Application Development

Recent Developments and the New Direction in Soft-Computing Foundations and Applications

Couch potato or gym addict? Semantic lifestyle profiling with wearables and fuzzy knowledge graphs
Physical activity among children: Objective measurements using Fitbit One® and ActiGraph

BMC Research Notes

Unsupervised state representation learning with robotic priors: a robustness benchmark

CoRR

Unsupervised state representation learning with robotic priors: a robustness benchmark

ArXiv

Unsupervised understanding of location and illumination changes in egocentric videos

Pervasive and Mobile Computing

Unsupervised Understanding of Location and Illumination Changes in Egocentric Videos

ArXiv

A semantic security framework and context-aware role-based access control ontology for Smart Spaces

Proceedings of the ACM SIGMOD International Conference on Management of Data

A semantic security framework and context-aware role-based access control ontology for smart spaces

Proceedings of the International Workshop on Semantic Big Data

Beyond Clothing Ontologies: Modeling Fashion with Subjective Influence Networks
Intelligent Drone Navigation for Search and Rescue Operations

Signal Processing and Communications Applications Conference (SIU)

Medicine Tray Design and Security for Medication Administration Processes at Hospital Wards

Tangibles for Health Workshop at CHI

Semantic and Fuzzy Modelling for Human Behaviour Recognition in Smart Spaces: A Case Study on Ambient Assisted Living

Populating a Linked Data Entity Name System: a Big Data Solution to Unsupervised Instance Matching

Semantic and Fuzzy Modelling for Human Behaviour Recognition in Smart Spaces: A Case Study on Ambient Assisted Living
Validation Techniques for Sensor Data in Mobile Health Applications

Journal of Sensors

Validation Techniques for Sensor Data in Mobile Health Applications

Journal of Sensors

Registered Nurses’ Experiences with the Medication Administration Process

Advances in Nursing

Registered Nurses’ Experiences with the Medication Administration Process

Advances in Nursing

Semantic and fuzzy modelling for human behaviour recognition in smart spaces: a case study on ambient assisted living.
Smart Dosing: A mobile application for tracking the medication tray-filling and dispensation processes in hospital wards

WORKSHOPS PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON INTELLIGENT ENVIRONMENTS

Smart Dosing: A mobile application for tracking the medication tray-filling and dispensation processes in hospital wards.
A fuzzy ontology for semantic modelling and recognition of human behaviour

Knowledge-Based Systems

A survey on ontologies for human behavior recognition

ACM Computing Surveys (CSUR)

A survey on ontologies for human behavior recognition

ACM Computing Surveys

Can IT health-care applications improve the medication tray-filling process at hospital wards? An exploratory study using eye-tracking and stress response

e-Health Networking, Applications and Services (Healthcom), 2014 IEEE 16th International Conference on

Can IT health-care applications improve the medication tray-filling process at hospital wards? An exploratory study using eye-tracking and stress response

2014 IEEE 16th International Conference on e-Health Networking, Applications and Services, Healthcom 2014

Erratum to: Exploiting smart spaces for interactive TV applications development (J Supercomput, 10.1007/s11227-014-1183-0)

Journal of Supercomputing

Handling real-world context awareness, uncertainty and vagueness in real-time human activity tracking and recognition with a fuzzy ontology-based hybrid method

Sensors (Switzerland)

An approach to improve semantics in Smart Spaces using reactive fuzzy rules

Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013

Extending Semantic Web Tools for Improving Smart Spaces Interoperability and Usability

Distributed Computing and Artificial Intelligence

Rapid prototyping of semantic applications in smart spaces with a visual rule language

Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication

Rapid prototyping of semantic applications in smart spaces with a visual rule language

UbiComp 2013 Adjunct - Adjunct Publication of the 2013 ACM Conference on Ubiquitous Computing

Ontology Driven Smart Space Application Development

Semant Interoper. Issues Solut. Chall

Ontology Driven Smart Space Application Development

Semantic Interoperability: Issues, Solutions, and Challenges

Programming biomedical smart space applications with BioImageXD and PythonRules

ACM International Conference Proceeding Series

A Framework for Context-Aware Applications for Smart Spaces

Applications and the Internet (SAINT), 2011 IEEE/IPSJ 11th International Symposium on

A framework for context-aware applications for smart spaces

Smart Spaces and Next Generation Wired/Wireless Networking

A framework for context-aware applications for smart spaces

Proceedings - 11th IEEE/IPSJ International Symposium on Applications and the Internet, SAINT 2011

Programming biomedical smart space applications with BioImageXD and PythonRules

Proceedings of the 4th International Workshop on Semantic Web Applications and Tools for the Life Sciences