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Information Retrieval Module
Study, design and analysis of IR systems which are efficient and effective to process, mine, search, cluster and classify bigdata document collections, coming from textual as...-
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PDF
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PDF
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Jupyter Notebooks
King’s College London has developed complete stories around Jupyter Notebooks that form easy recipes for reproducible methods in social data science. Jupyter...-
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ZIP
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mp4
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ZIP
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Database Module
The 'Database Module' aims to introduce database analysis, focusing on DBMS architecture, Relational Models, SQL language and SQL nested queries. It is part of the Master in...-
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PDF
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Interactive Learning Environments
King’s College London developed a variety of data science materials based on R and Python. R is a de facto standard in statistical computing and visualisation, while our... -
Tutorial on Learning To Rank
Efficiency/Effectiveness Trade-offs in Learning to Rank” tutorial by Claudio Lucchese and Franco Maria Nardini at the European Conference on Machine Learning and Principles...-
DOCX
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ipynb
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ipynb
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tar.gz
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DOCX
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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...-
JSON
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TXT
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py
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JSON
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Cybersecurity NER SecureBERT model
This method includes a Python script and files of a SecureBERT model fine-tuned on our Cybersecurity NER dataset. The method requires as input a list of sentences that will be...-
JSON
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TXT
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BIN
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JSON
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JSON
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JSON
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JSON
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ZIP
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TXT
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text/x-python
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JSON
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Private Cybersecurity NER dataset
Our dataset is created by merging APTNER and CyNER datasets, containing 13601 sentences, 347779 tokens, and 37684 entities. The split ratio was roughly 70% for training and... -
Private Protein-Ligand Interaction Graphs for Affinity Studies
The dataset contains a clean version of the data retrieved from PDBBind in the work of Volkov et al. (2022) that can be used for machine learning-based studies for compound... -
Gene Disease Association Data and Features
This dataset contains data that can be used for disease gene discovery purposes. The data cover ten different diseases with associated seed genes (derived from DisGeNET) and...-
RAR
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RAR
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UWB RADAR dataset of human activity detection in smart office
The UWB RADAR dataset consists of time series data acquired from UWB RADAR deployed in a smart office room located in ICAR-CNR, for monitoring human activity detection. Raw...-
RAR
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RAR
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Multi-sensor dataset of environmental outdoor home conditions
The Multi-sensor dataset of environmental conditions in smart home consists of time series data acquired from sensors deployed in outdoor of a smart domestic room located in... -
Multi-sensor dataset of environmental indoor home conditions
The Multi-sensor dataset of environmental conditions in smart home consists of time series data acquired from sensors deployed in indoor of a smart domestic room located in...-
RAR
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RAR
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Multi-sensor dataset of environmental office room conditions
The Multi-sensor dataset of environmental conditions in smart office consists of time series data acquired from sensors deployed in smart office rooms located in ICAR-CNR, for...-
RAR
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RAR
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Multi-sensor dataset of environmental conditions in smart office
The Multi-sensor dataset of environmental conditions in smart office consists of time series data acquired from sensors deployed in a smart office located in the ICAR CNR IoT...-
RAR
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RAR
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User preference-interest dataset
The User preference-interest dataset is a comprehensive collection of preferences generated by a sequence of 6 regimes following the rules below: - initially, we have... -
Weather and Pollution in Smart Cities
A set of weather and climatic conditions gathered during the Toolsmart PoN project ( Open Community PA 2020 – Pon Governance 2014-2020). Data are obtained from IoT based...-
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SWH Filenames
A 69 GB dataset with ~2.3 billion strings representing deduplicated names of source code files collected by Software Heritage, the great library of source code...-
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Private Smart Cities Weather and Pollution conditions
A set of weather and climatic conditions gathered during the Toolsmart PoN project ( Open Community PA 2020 – Pon Governance 2014-2020). Data are obtained from IoT based...
