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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... -
EgoISM-HOI - Exploiting Multimodal Synthetic Data for Egocentric Human-Object...
We tackle the problem of Egocentric Human-Object Interaction (EHOI) detection in an industrial domain. To overcome the lack of public datasets in this context, we propose a... -
PREGO: Online mistake detection in PRocedural EGOcentric videos
Promptly identifying procedural errors from egocentric videos in an online setting is highly challenging and valuable for detecting mistakes as soon as they happen. This... -
AFF-ttention! - Affordances and Attention models for Short-Term Object Intera...
Short-Term object-interaction Anticipation (STA) consists of detecting the location of the next-active objects, the noun and verb categories of the interaction, and the time... -
Artificial Graph Dataset Generator
This Python package generates synthetic graphs with a fixed graph edit distance. The generated datasets can be used to robustly train deep learning algorithms to compute the... -
Synchronization is All You Need - Exocentric-to-Egocentric Transfer for Tempo...
We consider the problem of transferring a temporal action segmentation system initially designed for exocentric (fixed) cameras to an egocentric scenario, where wearable... -
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... -
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.... -
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... -
Graph-Informed Neural Networks
In this repository, we publish the codes necessary to implement the Graph-Informed Neural Networks (GINNs), presented for the first time in the paper: Graph-Informed Neural... -
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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Private Multi-Start Optimization Neural Networks
In this repository, we publish the codes necessary to implement the Multi-Start Optimization Neural Networks (MSO-NNs), presented fin the paper: Automatic... -
Private Alternate Training for Multi-Task Neural Networks
In this repository, we publish the code used to implement the Alternate Training through the Epochs (ATE) procedure for training Multi-Task Neural Networks (MTNN) presented in...
