Dario Garcia-Gasulla

Orcid: 0000-0001-6732-5641

Affiliations:
  • Barcelona Supercomputing Center (BSC), Spain
  • UPC BarcelonaTECH, KEMLg, Spain


According to our database1, Dario Garcia-Gasulla authored at least 61 papers between 2010 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Present and Future Generalization of Synthetic Image Detectors.
CoRR, 2024

TextFocus: Assessing the Faithfulness of Feature Attribution Methods Explanations in Natural Language Processing.
IEEE Access, 2024

2023
Padding Aware Neurons.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Confusion Matrix for Evaluating Feature Attribution Methods.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Exploring the Role of Explainability in AI-Assisted Embryo Selection.
Proceedings of the Artificial Intelligence Research and Development, 2023

2022
Large scale prediction of sick leave duration with nonlinear survival analysis algorithms.
Expert Syst. Appl., 2022

When & How to Transfer with Transfer Learning.
CoRR, 2022

Healthy Twitter discussions? Time will tell.
CoRR, 2022

The MAMe dataset: on the relevance of high resolution and variable shape image properties.
Appl. Intell., 2022

The ethical use of high-performance computing and artificial intelligence: fighting COVID-19 at Barcelona Supercomputing Center.
AI Ethics, 2022

Focus! Rating XAI Methods and Finding Biases.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Focus and Bias: Will It Blend?
Proceedings of the Artificial Intelligence Research and Development, 2022

2021
To Be fAIr or Not to Be: Using AI for the Good of Citizens.
IEEE Technol. Soc. Mag., 2021

Size & Shape Matters: The Need of HPC Benchmarks of High Resolution Image Training for Deep Learning.
Supercomput. Front. Innov., 2021

Comparative Analysis of Geolocation Information through Mobile-Devices under Different COVID-19 Mobility Restriction Patterns in Spain.
ISPRS Int. J. Geo Inf., 2021

Who Explains the Explanation? Quantitatively Assessing Feature Attribution Methods.
CoRR, 2021

Collection, Processing and Analysis of Heterogeneous Data Coming from Spanish Hospitals in the Context of COVID-19.
Proceedings of the Artificial Intelligence Research and Development, 2021

2020
Signs for Ethical AI: A Route Towards Transparency.
CoRR, 2020

A Closer Look at Art Mediums: The MAMe Image Classification Dataset.
CoRR, 2020

Recommendations for machine learning validation in biology.
CoRR, 2020

Global Data Science Project for COVID-19 Summary Report.
CoRR, 2020

Obstruction level detection of sewer videos using convolutional neural networks.
CoRR, 2020

GOPHER, an HPC Framework for Large Scale Graph Exploration and Inference.
Proceedings of the High Performance Computing, 2020

What Are We Depressed About When We Talk About COVID-19: Mental Health Analysis on Tweets Using Natural Language Processing.
Proceedings of the Artificial Intelligence XXXVII, 2020

The Impact of COVID-19 on Flight Networks.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Studying the impact of the Full-Network embedding on multimodal pipelines.
Semantic Web, 2019

Random Forest as a Tumour Genetic Marker Extractor.
Proceedings of the Artificial Intelligence Research and Development, 2019

Towards a Goal-Oriented Agent-Based Simulation Framework for High-Performance Computing.
Proceedings of the Artificial Intelligence Research and Development, 2019

Feature Discriminativity Estimation in CNNs for Transfer Learning.
Proceedings of the Artificial Intelligence Research and Development, 2019

Analyzing Distances in Word Embeddings and Their Relation with Seme Analysis.
Proceedings of the Artificial Intelligence Research and Development, 2019

2018
On the Behavior of Convolutional Nets for Feature Extraction.
J. Artif. Intell. Res., 2018

An Out-of-the-box Full-Network Embedding for Convolutional Neural Networks.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

Adaptive Pattern Matching with Reinforcement Learning for Dynamic Graphs.
Proceedings of the 25th IEEE International Conference on High Performance Computing, 2018

A Visual Distance for WordNet.
Proceedings of the Artificial Intelligence Research and Development, 2018

2017
Full-Network Embedding in a Multimodal Embedding Pipeline.
CoRR, 2017

Fluid Communities: A Community Detection Algorithm.
CoRR, 2017

An Out-of-the-box Full-network Embedding for Convolutional Neural Networks.
CoRR, 2017

A visual embedding for the unsupervised extraction of abstract semantics.
Cogn. Syst. Res., 2017

Full-Network Embedding in a Multimodal Embedding Pipeline.
Proceedings of the 2nd Workshop on Semantic Deep Learning, 2017

Building Graph Representations of Deep Vector Embeddings.
Proceedings of the 2nd Workshop on Semantic Deep Learning, 2017

Fluid Communities: A Competitive, Scalable and Diverse Community Detection Algorithm.
Proceedings of the Complex Networks & Their Applications VI, 2017

2016
Situated Agents and Humans in Social Interaction for Elderly Healthcare: From Coaalas to AVICENA.
J. Medical Syst., 2016

Discovery of spatio-temporal patterns from location-based social networks.
J. Exp. Theor. Artif. Intell., 2016

Hierarchical Hyperlink Prediction for the WWW.
CoRR, 2016

Limitations and Alternatives for the Evaluation of Large-scale Link Prediction.
CoRR, 2016

On the Representativeness of Convolutional Neural Networks Layers.
Proceedings of the Artificial Intelligence Research and Development, 2016

2015
Link prediction in large directed graphs.
PhD thesis, 2015

Extracting Visual Patterns from Deep Learning Representations.
CoRR, 2015

Evaluating Link Prediction on Large Graphs.
Proceedings of the Artificial Intelligence Research and Development, 2015

2014
A Push-Based Agent Communication Model Empowering Assistive Technologies.
Int. J. Artif. Intell. Tools, 2014

Link Prediction in Very Large Directed Graphs: Exploiting Hierarchical Properties in Parallel.
Proceedings of the 3rd Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data co-located with 11th Extended Semantic Web Conference (ESWC 2014), 2014

A Functional Approach for Disruptive Event Discovery and Policy Monitoring in Mobility Scenarios.
Proceedings of ELS 2014 - 7th European Lisp Symposium, Paris, France, May 5-6, 2014., 2014

Social network data analysis for event detection.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Urban Context Detection and Context-Aware Recommendation via Networks of Humans as Sensors.
Proceedings of the Agent Technology for Intelligent Mobile Services and Smart Societies, 2014

2013
Applying COAALAS to SPiDer.
Proceedings of the Artificial Intelligence Research and Development, 2013

Hierarchical Inference Applied to Cyc.
Proceedings of the Artificial Intelligence Research and Development, 2013

2012
An Operational Approach for Implementing Normative Agents in Urban Wastewater Systems.
Computación y Sistemas, 2012

2011
A Society of Situated Agents for Adaptable Eldercare.
ERCIM News, 2011

2010
Using Situation Calculus for Normative Agents in Urban Wastewater Systems.
Proceedings of the Advances in Practical Applications of Agents and Multiagent Systems, 2010

ALIVE Meets SHARE-it: An Agent-Oriented Solution to Model Organisational and Normative Requirements in Assistive Technologies.
Proceedings of the Electronic Healthcare - Third International Conference, 2010

A Flexible Agent-Oriented Solution to Model Organisational and Normative Requirements in Assistive Technologies.
Proceedings of the Artificial Intelligence Research and Development, 2010


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