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Private Toward eXplainabile Data-Driven Control (XDDC): The Property-Preserving Frame...
As Artificial Intelligence (AI) techniques continue to advance, the need for explainability becomes increasingly crucial, especially in sensitive or safety-critical domains.... -
CPG: Constrained Policy Gradient
CPG is a reinforcement learning algorithm thought for solving continuous control problems with user defined or structural constraints. CPG has two versions, C-PGPE and C-PGAE,... -
Ego-Exo4D: Understanding Skilled Human Activity from First
We present Ego-Exo4D, a diverse, large-scale multimodal multiview video dataset and benchmark challenge. Ego-Exo4D centers around simultaneously-captured egocentric and... -
Private DNAtools
Differential network analysis (DINA) is dedicatedto exploring these rewirings within gene and protein networks. The dataset contain Differential networks generated by using... -
Australian Internet Observatory
National research infrastructure for collecting and analysing digital platforms and social data. The Australian Internet Observatory is a new, four-year national research... -
Private LoRaWAN water meter dataset
The datasets represent 19 months of operational data collected between May 2019 and January 2021, originating from a LoRaWAN-based water meter deployment. These datasets... -
Private ML-Link
ML-Link is a novel neural-network-based learning framework for link prediction on (attributed) multilayer networks, whose key idea is to combine (i) pairwise similarities of... -
Private Meta-learning for model-reference data-driven control
One-shot direct model-reference control design techniques, like the Virtual Reference Feedback Tuning (VRFT) approach, offer time-saving solutions for calibrating... -
Experimenting ASPen on the IMDB dataset
It has been recently proposed ASPen: an Answer Set Programming (ASP) encoding for LACE, which is a novel declarative approach to Collective Entity Resolution in the classical... -
Onboard deep lossless and near-lossless predictive coding of hyperspectral im...
Code for "Onboard deep lossless and near-lossless predictive coding of hyperspectral images with line-based attention" paper. The method implements a low-complexity neural... -
AI for Industry 5.0
This is a Use Case developed in the context of the FAIR project. The overall objective of the project is to create a collaborative ecosystem to support a manufacturing... -
Privacy Policies Compliance
Dataset composed of 30 privacy policies of online platforms, annotated to assess the level of comprehensiveness of information. This work focuses on the processed categories...-
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Identifying and exploiting homogeneous communities in labeled networks
Attribute-aware community discovery aims to find well-connected communities that are also homogeneous w.r.t. the labels carried by the nodes. In this work, we address such a... -
Explaining misclassification and attacks in deep learning via random forests
Artificial intelligence, and machine learning (ML) in particular, is being used for different purposes that are critical for human life. To avoid an algorithm-based...-
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Big other Surveillance capitalism and the prospects of an information civiliz...
This article describes an emergent logic of accumulation in the networked sphere, ‘surveillance capitalism,’ and considers its implications for ‘information civilization.’ The... -
Private ASPen: ASP-based Implementation for Collective Entity Resolution
This is an Answer Set Programming (ASP) encoding for LACE, which is a novel declarative approach to Collective Entity Resolution in the classical relational database setting.... -
Ego network analysis, information-driven social links and impact on informati...
Slide from the Summer School on Computational Misinformation Analysis 2019 lesson-
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Boilerplate Removal using a Neural Sequence Labeling Model
The extraction of main content from web pages is an important task for numerous applications, ranging from usability aspects, like reader views for news articles in web... -
Evaluating the significance of network observables with a maximum entropy-bas...
This webinar was organised by the Network Medicine Exploratory (WP10) and hosted Enrico Maiorino. Enrico Maiorino is a very esteemed researcher at Brigham Women's Hospital,...-
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Deep Learning Course
This course developed by Universitat Politècnica de Catalunya and Barcelona Supercomputing Center provides an applied approach to Deep Learning. It chooses to present an...-
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