Early Identification of Violent Criminal Gang Members
Data Skeptic15 Apr 2016

Early Identification of Violent Criminal Gang Members

This week I spoke with Elham Shaabani and Paulo Shakarian (@PauloShakASU) about their recent paper Early Identification of Violent Criminal Gang Members (also available onarXiv). In this paper, they use social network analysis techniques and machine learning to provide early detection of known criminal offenders who are in a high risk group for committing violent crimes in the future. Their techniques outperform existing techniques used by the police. Elham and Paulo are part of the Cyber-Socio Intelligent Systems (CySIS) Lab.

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(601)

Earthquake Detection with Crowd-sourced Data

Earthquake Detection with Crowd-sourced Data

Have you ever wanted to hear what an earthquake sounds like? Today on the show we have Omkar Ranadive, Computer Science Masters student at NorthWestern University, who collaborates with Suzan van der ...

25 Des 202029min

Byzantine Fault Tolerant Consensus

Byzantine Fault Tolerant Consensus

Byzantine fault tolerance (BFT) is a desirable property in a distributed computing environment. BFT means the system can survive the loss of nodes and nodes becoming unreliable. There are many differe...

22 Des 202035min

Alpha Fold

Alpha Fold

Kyle shared some initial reactions to the announcement about Alpha Fold 2's celebrated performance in the CASP14 prediction.  By many accounts, this exciting result means protein folding is now a solv...

11 Des 202023min

Arrow's Impossibility Theorem

Arrow's Impossibility Theorem

Above all, everyone wants voting to be fair. What does fair mean and how can we measure it? Kenneth Arrow posited a simple set of conditions that one would certainly desire in a voting system. For exa...

4 Des 202026min

Face Mask Sentiment Analysis

Face Mask Sentiment Analysis

As the COVID-19 pandemic continues, the public (or at least those with Twitter accounts) are sharing their personal opinions about mask-wearing via Twitter. What does this data tell us about public op...

27 Nov 202041min

Counting Briberies in Elections

Counting Briberies in Elections

Niclas Boehmer, second year PhD student at Berlin Institute of Technology, comes on today to discuss the computational complexity of bribery in elections through the paper "On the Robustness of Winner...

20 Nov 202037min

Sybil Attacks on Federated Learning

Sybil Attacks on Federated Learning

Clement Fung, a Societal Computing PhD student at Carnegie Mellon University, discusses his research in security of machine learning systems and a defense against targeted sybil-based poisoning called...

13 Nov 202031min

Differential Privacy at the US Census

Differential Privacy at the US Census

Simson Garfinkel, Senior Computer Scientist for Confidentiality and Data Access at the US Census Bureau, discusses his work modernizing the Census Bureau disclosure avoidance system from private to pu...

6 Nov 202029min

Populært innen Vitenskap

fastlegen
tingenes-tilstand
liberal-halvtime
sinnsyn
villmarksliv
rss-zahid-ali-hjelper-deg
forskningno
rekommandert
rss-overskuddsliv
jss
rss-paradigmepodden
tidlose-historier
vett-og-vitenskap-med-gaute-einevoll
fjellsportpodden
dekodet-2
rss-nysgjerrige-norge
rss-inn-til-kjernen-med-sunniva-rose
nevropodden
kvinnehelsepodden
diagnose