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Understanding Any Time Series Classifier with a Subsequence-based Explainer

In recent years the wide availability of data stored in the form of time series contributed to the diffusion of extremely accurate time series classifiers employed in high-stakes decision making. Unfortunately, the best time series classifiers are usually black-boxes, and therefore quite hard to understand from a human standpoint. This fact slowed down the usage of these models in critical domains, where the explanation aspect is crucial for a transparent interaction between the human expert and the AI system.

Earth Observation Data for Environmentally Induced Human Migration

As a widely used but generalised term, "migration" can refer to different human movements with residential intentions.

Simulating human mobility considering the social dimension, too

In the last decade, the availability of large mobility datasets such as Call Detail Records (CDR) [1, 2, 3], traces from GPS devices embedded in smartphones and cars [3], and geo-tagged posts on Location-Based Social Networks (LBSN) [4], allows characterizing human mobility from a statistical and mathematical point of view, uncovering the invisible rules that govern the individuals' displacements.

Show students soccer analytics and they will love computer science

Soccer analytics is attracting increasing interest in academia and industry, thanks to the availability of sensing technologies that provide high-fidelity data streams for every match. Apart from a few sporadic attempts, it is only in recent years that soccer statistics have developed, thanks to sensing technologies that provide high-fidelity data streams extracted from every match. These data streams are mainly used by researchers in academia, data scientists in the industry, or sports data journalists to extract meaningful knowledge and tell stories.

Wrist-worn fitness wearable devices accurately estimate SDNN24

The standard deviation of the inter-beats interval between QRS complexes recorded during 24 h (SDNN24) is considered the gold standard of Heart rate variability (HRV) features for cardiac health [1]. SDNN24 is an HRV feature that requires 24 h of continuous recording Inter-Beat Intervals, traditionally achieved using a Holter device, that makes the data collection difficult during people’s everyday life, therefore not performed routinely.

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JupyterHub OUT NOW in SoBigDataLab!

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Data on migration and integration policies and trends in Europe

Migration and integration issues are at the center of the political and public debate in Europe. The scale of international migration has increased further in recent years. According to the International Organization for Migration (IOM), the number of international migrants is estimated to be almost 272 million globally (3.5% of the world population).

City indicators for Mobility Data Mining

Authors: Mirco Nanni, Agnese Bonavita, Riccardo Guidotti

Exploratory: Sustainable Cities for Citizens

About the role of social media platforms in the modern society

The first days of 2021 were characterized by very serious episodes that “struck the latest and perhaps most savage blow to America's reputation as a paragon of liberal democracy” according to David Smith on The Guardian [1].