Stockholms universitet

research

∙ 07/26/2021

Constraining dark matter annihilation with cosmic ray antiprotons using neural networks

The interpretation of data from indirect detection experiments searching...

Felix Kahlhoefer, et al. ∙

research

∙ 06/22/2017

Rational coordination with no communication or conventions

We study pure coordination games where in every outcome, all players hav...

Valentin Goranko, et al. ∙

research

∙ 08/18/2017

Neural machine translation for low-resource languages

Neural machine translation (NMT) approaches have improved the state of t...

Robert Östling, et al. ∙

research

∙ 06/12/2017

SU-RUG at the CoNLL-SIGMORPHON 2017 shared task: Morphological Inflection with Attentional Sequence-to-Sequence Models

This paper describes the Stockholm University/University of Groningen (S...

Robert Östling, et al. ∙

research

∙ 12/22/2016

Continuous multilinguality with language vectors

Most existing models for multilingual natural language processing (NLP) ...

Robert Östling, et al. ∙

research

∙ 12/20/2016

Inferring the location of authors from words in their texts

For the purposes of computational dialectology or other geographically b...

Max Berggren, et al. ∙

research

∙ 10/29/2017

Disjunctive bases: normal forms and model theory for modal logics

We present the concept of a disjunctive basis as a generic framework for...

Sebastian Enqvist, et al. ∙

research

∙ 01/29/2018

Basic stochastic transmission models and their inference

The current survey paper concerns stochastic mathematical models for the...

Tom Britton, et al. ∙

research

∙ 03/05/2018

Estimation in emerging epidemics: biases and remedies

When analysing new emerging infectious disease outbreaks one typically h...

Tom Britton, et al. ∙

research

∙ 03/28/2018

How to ask sensitive multiple choice questions

Motivated by recent failures of polling to estimate populist party suppo...

Andreas Lagerås, et al. ∙

research

∙ 05/15/2018

Confounding caused by causal-effect covariability

Confounding seriously impairs our ability to learn about causal relation...

Anders Ledberg, et al. ∙

research

∙ 09/13/2018

Explainable time series tweaking via irreversible and reversible temporal transformations

Time series classification has received great attention over the past de...

Isak Karlsson, et al. ∙

research

∙ 10/23/2018

Machine Learning Accelerated Likelihood-Free Event Reconstruction in Dark Matter Direct Detection

Reconstructing the position of an interaction for any dual-phase time pr...

U. Simola, et al. ∙

research

∙ 03/27/2019

The XENON1T Data Distribution and Processing Scheme

The XENON experiment is looking for non-baryonic particle dark matter in...

Daniel Ahlin, et al. ∙

research

∙ 05/20/2019

Exploring helical dynamos with machine learning

We use ensemble machine learning algorithms to study the evolution of ma...

Farrukh Nauman, et al. ∙

research

∙ 06/03/2019

Cellular Traffic Prediction and Classification: a comparative evaluation of LSTM and ARIMA

Prediction of user traffic in cellular networks has attracted profound a...

Amin Azari, et al. ∙

research

∙ 05/09/2019

User Traffic Prediction for Proactive Resource Management: Learning-Powered Approaches

Traffic prediction plays a vital role in efficient planning and usage of...

Amin Azari, et al. ∙

research

∙ 06/11/2019

Statistical Species Identification

Identification of taxa can be significantly assisted by statistical clas...

Måns Karlsson, et al. ∙

research

∙ 07/13/2019

Aggregate-Eliminate-Predict: Detecting Adverse Drug Events from Heterogeneous Electronic Health Records

We study the problem of detecting adverse drug events in electronic heal...

Maria Bampa, et al. ∙

research

∙ 07/26/2019

Beyond the Coverage of Information Spreading: Analytical and Empirical Evidence of Re-exposure in Large-scale Online Social Networks

Peer influence and social contagion are key denominators in the adoption...

Xin Lu, et al. ∙

research

∙ 07/30/2019

Zero-shot transfer for implicit discourse relation classification

Automatically classifying the relation between sentences in a discourse ...

Murathan Kurfalı, et al. ∙

research

∙ 08/15/2019

Epidemic models on social networks -- with inference

Consider stochastic models for the spread of an infection in a structure...

Tom Britton, et al. ∙

research

∙ 06/24/2020

Predicting First Passage Percolation Shapes Using Neural Networks

Many random growth models have the property that the set of discovered s...

Sebastian Rosengren, et al. ∙

research

∙ 06/22/2020

Clinical Predictive Keyboard using Statistical and Neural Language Modeling

A language model can be used to predict the next word during authoring, ...

John Pavlopoulos, et al. ∙

research

∙ 07/18/2020

Graph-based process mining

Process mining is an area of research that supports discovering informat...

Amin Jalali, et al. ∙

research

∙ 02/24/2021

Nested sampling with any prior you like

Nested sampling is an important tool for conducting Bayesian analysis in...

Justin Alsing, et al. ∙

research

∙ 03/10/2021

Heuristic Algorithms for Best Match Graph Editing

Best match graphs (BMGs) are a class of colored digraphs that naturally ...

David Schaller, et al. ∙

research

∙ 06/06/2021

Let's be explicit about that: Distant supervision for implicit discourse relation classification via connective prediction

In implicit discourse relation classification, we want to predict the re...

Murathan Kurfalı, et al. ∙

research

∙ 06/30/2021

A Simple Linear-Time Algorithm for the Common Refinement of Rooted Phylogenetic Trees on a Common Leaf Set

Background. The supertree problem, i.e., the task of finding a common re...

David Schaller, et al. ∙

research

∙ 02/09/2022

Flexible Bayesian Nowcasting with application to COVID-19 fatalities in Sweden

The real-time analysis of infectious disease surveillance data, e.g. tim...

Fanny Bergström, et al. ∙

research

∙ 05/24/2022

Analysing the Greek Parliament Records with Emotion Classification

In this project, we tackle emotion classification for the Greek language...

John Pavlopoulos, et al. ∙

research

∙ 05/30/2022

FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction

Although Machine Learning (ML) can be seen as a promising tool to improv...

Lena Mondrejevski, et al. ∙

research

∙ 06/10/2022

Active information, missing data and prevalence estimation

The topic of this paper is prevalence estimation from the perspective of...

Ola Hössjer, et al. ∙

research

∙ 06/22/2022

Object Type Clustering using Markov Directly-Follow Multigraph in Object-Centric Process Mining

Object-centric process mining is a new paradigm with more realistic assu...

Amin Jalali, et al. ∙

Stockholms universitet

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