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Private GreenBioNet
The methods contain a benchmarking pipeline for evaluating Graph Neural Networks (GNNs) across performance, energy consumption, and resource usage on heterogeneous hardware... -
Private AutoEncoder-based eXplainable Anomaly Detection (AE-XAD)
AE-XAD This repository contains the code of the AE-XAD method (authored by Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina and Simona Nisticò). Dataset Dataset classes are... -
Private LatentOut
Tensorflow Implementation of LatentOut This repository provides a Tensorflow implementation of the LatentOut framework for anomaly detection. It is an extension of VAEOut, an... -
AspenPlus: ASP-based Implementation for Collective Entity Resolution with Glo...
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,... -
Best Arm Identification for Stochastic Rising Bandits
We propose two algorithms, R-UCBE and R-SR, performing best arm identification in the stochastic rising bandit setting, thought for modeling the combined algorithm selection... -
Neural Networks for Sparse Grid-Based Discontinuity Detectors
In this repository, we publish the codes necessary to load and use the NN-based discontinuity detectors, presented for the first time in the preprint: Graph-Informed Neural... -
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,... -
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... -
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... -
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.... -
The ProASP System
ProASP stands as the first compilation-based ASP solver specifically designed to efficiently evaluate ASP programs. Its evaluation techniques address the well-known grounding... -
Fuzzy Logic Visual Network (FLVN): A neuro-symbolic approach for visual featu...
Neuro-symbolic integration aims at harnessing the power of symbolic knowledge representation combined with the learning capabilities of deep neural networks. In particular,... -
Private ltlf2asp
Linear Temporal Logic over Finite Traces (LTLf) is a popular logic to reason about finite sequences of events. In LTLf, the (bounded) satisfiability problem refers to whether... -
Private Cybersecurity NER BERT-base-cased model
This method includes a Python script and files of a BERT-base-cased model fine-tuned on our Cybersecurity NER dataset. The method requires as input a list of sentences that... -
Cybersecurity NER RoBERTa-base model
This method includes a Python script and files of a RoBERTa-base model fine-tuned on our Cybersecurity NER dataset. The method requires as input a list of sentences that will...-
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SDNN24 Estimation from Semi-Continuous HR Measures
The standard deviation of the interval between QRS complexes recorded over 24 h (SDNN24) is an important metric of cardiovascular health. Wrist-worn fitness wearable devices... -
How to Use Visual Media Analysis for Social Media Research
How-to guide that describes four recipes for visual media analysis, including key software tools that enable the analysis-
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Private Boilernet
Deploys an artificial neural network to remove the boilerplate from HTML files. Annotates the text content in the file or extracts the text from the HTML file. -
Private Distributed W2V
Accelerated training of Word Embeddings for large text corpora. Creates a word2vec-model from an input corpus of tokenized texts through the use of parallel distributed... -
Fast and scalable likelihood maximization for Exponential Random Graph Models
Exponential Random Graph Models (ERGMs) have gained increasing popularity over the years. Rooted into statistical physics, the ERGMs framework has been successfully employed...-
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