Tag Archives: old

L. Leskelä – Clustering coefficients in large directed graphs

Lasse Leskelä (Aalto) Thursday 2017-05-04 14.15 – 15.00 Room A136 (T6), T-building Clustering coefficients in large directed graphs I will discuss a notion of clustering in directed graphs which describes how likely two followers of a node are to follow a common target. The associated network motifs, called dicliques or bi-fans, have been found to… Read More »

J. Autere – EIT Digital’s Industrial Doctoral Program

Jussi Autere (Aalto) Thursday 2017-04-06 14.00 – 15.00 Room A136 (T6), T-building EIT Digital’s Industrial Doctoral Program EIT Digital a leading European digital innovation and entrepreneurial education organisation has started an industrial doctoral program. It offers doctoral student positions to researchers interested in subjects relevant to the industry.

A. Jung – When is Network Lasso Accurate?

Alex Jung (Aalto) Thursday 2017-04-13 14.00 – 15.00 Room A136 (T6), T-building When is Network Lasso Accurate? The network LASSO is a recently proposed method for clustering and optimization problems arising from massive network-structured datasets, i.e., for big data over networks. It is a variant of the well-known group LASSO which is underlying many methods… Read More »

Journal Club – Network Lasso: Clustering and Optimization in Large Graphs

March 9, 2017 @ 14.00 – 15.00 Room A136 (T6), T-building Presenter: Jonathan Strahl Authors: David Hallac, Jure Leskovec, Stephen Boyd Convex optimization is an essential tool for modern data analysis, as it provides a framework to formulate and solve many problems in machine learning and data mining. However, general convex optimization solvers do not… Read More »

P. della Briotta Parolo – Scientific Snowballs

Pietro della Briotta Parolo (Aalto) Monday 2016-12-12 11.00 – 12.00 Lecture hall AS3, TUAS building Scientific Snowballs Our idea is to analyze the spread of scientific ideas coming from a certain field/subfield in time following the chain of citations that follow the initial publications. The basic case study is based on initializing a set N… Read More »

J. Rousu – Predicting structured data

Juho Rousu (Aalto) Monday 2016-12-05 11.00 – 12.00 Lecture hall AS3, TUAS building Predicting structured data In modern data analysis, data does not always come in neat tables of numbers, each column corresponding to a variable of interest. In particular, many data have internal structure, with statistical dependencies arising between close parts of the structure.… Read More »

K. Bhattacharya – Network of families resulting from unions in the FINNFAMILY data

Kunal Bhattacharya (Aalto) Monday 2016-11-07 11.00 – 12.00 Lecture hall AS3, TUAS building Network of families resulting from unions in the FINNFAMILY dat The FINNFAMILY dataset is a multi-generational representative dataset from late 20th century Finland. The data is derived from the National Population Register of Finland and consists of 60,000 randomly selected Finns (index-persons)… Read More »

S. Heydari – Social Signatures

Sara Heydari (Aalto) Monday 2016-10-31 11.00 – 12.00 Lecture hall AS3, TUAS building Social Signatures Humans have limited time and resources for socializing. People do not distribute these limited resources evenly between all their acquaintance but they dedicate most of their communication effort to a few alters while distributing the rest between numerous alters. Although… Read More »

D. Monsivais-Velazquez – Seasonal, geographical and thermal influence on human resting patterns inferred from mobile phone data

Daniel Monsivais-Velazquez (Aalto) Monday 2016-10-24 11.00 – 12.00 Lecture hall AS3, TUAS building Seasonal, geographical and thermal influence on human resting patterns inferred from mobile phone data We study influence of seasonally and geographically related daily dynamics of daylight and daily temperature on human resting or sleeping patterns using mobile phone data of a very… Read More »