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Private SubCat: A Dataset of Subordinate Categories in Human Mind and LLMs for the It...
People can categorize the same entity at multiple taxonomic levels, such as basic (bear), superordinate (animal), and subordinate (grizzly bear). While prior research has... -
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 AE-SAD
Tensorflow implementation of AE-SAD This repository provides a Tensorflow implementation of the AE-SAD method for (semi-)supervised anomaly detection. Citation and Contact... -
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... -
Private Expression profiling by high throughput sequencing
The dataset contains transcriptomic data of pancreatic islet preparations obtained from 10 type 2 diabetic subjects. The transcriptomic profile of each preparation was... -
Experimenting AspenPlus on the Music dataset
It has been recently proposed AspenPlus: an Answer Set Programming (ASP) encoding for LACE+, which is a novel declarative approach to Collective Entity Resolution in the... -
Experimenting AspenPlus on the IMDB dataset
It has been recently proposed AspenPlus: an Answer Set Programming (ASP) encoding for LACE+, which is a novel declarative approach to Collective Entity Resolution in the... -
Experimenting AspenPlus on the Pokémon dataset
It has been recently proposed AspenPlus: an Answer Set Programming (ASP) encoding for LACE+, which is a novel declarative approach to Collective Entity Resolution in the... -
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,... -
Private MVC_Italian_speech_LLD_HLD
Low Level (Shimmer, Loudness, Harmonics-to-Noise Ratio,...) and High Level Descriptors (Functionals for the arithmetic mean and variance, Functionals for the mean and standard... -
Private Reddit Climate Change Debate Network Dataset
This dataset contains pairwise interactions between Reddit users debating climate change on general-purpose subreddits. Each account is enriched with information about the... -
Private Bluesky Social Dataset
The dataset contains the complete pseudonymized post history from Bluesky. Covers 4M users (81% of all registered accounts), totalling 235M posts. We also make available... -
Private VitaGraph
VitaGraph is a comprehensive biomedical network integrating diverse entity types such as drugs, genes, diseases, biological processes, and side effects. It serves as a... -
Private NL2CNL dataset
NL2CNL is a dataset focused on graph-related problem specifications, that is conceived to develop and assess NLP tools for the automatic composition of ASP programs. NL2CNL... -
RIMA
RIMA (Rapping in Italy: Music and Artists) is a structured dataset that includes information and features related to the songs of 104 Italian rap artists, both male and...-
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Private Audio-based Flank tool wear prediction
This dataset contains audio signals recorded during a milling process, with the primary objective of predicting tool flank wear (VB) on cutting tools. Dataset Contents:... -
KPMs ORAN Data Driven
Short description: The dataset reports various KPMs of a disaggregated RAN deployment (DU, CU-UP, CU-CP) which can be used to train intelligent algorithms for radio resource... -
KPMs of O-RAN Compliant Framework in a Real Testbed Deployment
We conducted a series of experiments by varying the RAN software components in a real deployment scenario. In particular, this evaluation focuses on two widely adopted... -
WNFT_M
The WNFT_M dataset, comprises 26,875 English language posts with associated data from the corresponding wNFT collection, published between August 16, 2022, and November 18,...-
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Synthetic data for recruitment
The datasets consist of a pair of tabular 2000 curricula and 2000 job offers generated by a trained generative causal model. The generation process followed a causal graph...-
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