Juho Rousu

Juho Rousu

Aalto-yliopisto

H-index: 34

Europe-Finland

About Juho Rousu

Juho Rousu, With an exceptional h-index of 34 and a recent h-index of 24 (since 2020), a distinguished researcher at Aalto-yliopisto, specializes in the field of Machine Learning, Computational Metabolomics, Computational Biomedicine, Computational Systems Biology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Predicting drug combination response surfaces

Learning symmetry-aware atom mapping in chemical reactions through deep graph matching

Protein Function Prediction Through Multi-view Multi-label Latent Tensor Reconstruction

Data‐Driven Compound Identification in Atmospheric Mass Spectrometry

Scalable variable selection for two-view learning tasks with projection operators

Vector-valued least-squares regression under output regularity assumptions

Systematic review of computational methods for drug combination prediction

Joint structural annotation of small molecules using liquid chromatography retention order and tandem mass spectrometry data

Juho Rousu Information

University

Position

Professor Department of Computer Science

Citations(all)

6004

Citations(since 2020)

3689

Cited By

3453

hIndex(all)

34

hIndex(since 2020)

24

i10Index(all)

70

i10Index(since 2020)

41

Email

University Profile Page

Aalto-yliopisto

Google Scholar

View Google Scholar Profile

Juho Rousu Skills & Research Interests

Machine Learning

Computational Metabolomics

Computational Biomedicine

Computational Systems Biology

Top articles of Juho Rousu

Title

Journal

Author(s)

Publication Date

Predicting drug combination response surfaces

bioRxiv

Riikka Huusari

Tianduanyi Wang

Sandor Szedmak

Tero Aittokallio

Juho Rousu

2024

Learning symmetry-aware atom mapping in chemical reactions through deep graph matching

Journal of Cheminformatics

Maryam Astero

Juho Rousu

2024/4/22

Protein Function Prediction Through Multi-view Multi-label Latent Tensor Reconstruction

Robert Ebo Armah-Sekum

Sandor Szedmak

Juho Rousu

2024/2/26

Data‐Driven Compound Identification in Atmospheric Mass Spectrometry

Advanced Science

Hilda Sandström

Matti Rissanen

Juho Rousu

Patrick Rinke

2024/2

Scalable variable selection for two-view learning tasks with projection operators

Machine Learning

Sandor Szedmak

Riikka Huusari

Tat Hong Duong Le

Juho Rousu

2023/12/22

Vector-valued least-squares regression under output regularity assumptions

Journal of Machine Learning Research

Luc Brogat-Motte

Alessandro Rudi

Céline Brouard

Juho Rousu

Florence d'Alché-Buc

2022

Systematic review of computational methods for drug combination prediction

Weikaixin Kong

Gianmarco Midena

Yingjia Chen

Paschalis Athanasiadis

Tianduanyi Wang

...

2022/1/1

Joint structural annotation of small molecules using liquid chromatography retention order and tandem mass spectrometry data

Nature Machine Intelligence

Eric Bach

Emma L Schymanski

Juho Rousu

2022/12

Learning to predict graphs with fused Gromov-Wasserstein barycenters

Luc Brogat-Motte

Rémi Flamary

Céline Brouard

Juho Rousu

Florence d’Alché-Buc

2022/6/28

Strain design optimization using reinforcement learning

PLoS computational biology

Maryam Sabzevari

Sandor Szedmak

Merja Penttilä

Paula Jouhten

Juho Rousu

2022/6/3

Systematic classification of unknown metabolites using high-resolution fragmentation mass spectra

Nature biotechnology

Kai Dührkop

Louis-Félix Nothias

Markus Fleischauer

Raphael Reher

Marcus Ludwig

...

2021/4

Learning primal-dual sparse kernel machines

arXiv preprint arXiv:2108.12199

Riikka Huusari

Sahely Bhadra

Cécile Capponi

Hachem Kadri

Juho Rousu

2021/8/27

Modeling drug combination effects via latent tensor reconstruction

Bioinformatics

Tianduanyi Wang

Sandor Szedmak

Haishan Wang

Tero Aittokallio

Tapio Pahikkala

...

2021/7/12

Probabilistic framework for integration of mass spectrum and retention time information in small molecule identification

Bioinformatics

Eric Bach

Simon Rogers

John Williamson

Juho Rousu

2021/6/15

Ranking microbial metabolomic and genomic links in the NPLinker framework using complementary scoring functions

PLoS computational biology

Grimur Hjoerleifsson Eldjarn

Andrew Ramsay

Justin JJ Van Der Hooft

Katherine R Duncan

Sylvia Soldatou

...

2021/5/4

Systematic mapping of cancer cell target dependencies using high-throughput drug screening in triple-negative breast cancer

Computational and Structural Biotechnology Journal

Tianduanyi Wang

Prson Gautam

Juho Rousu

Tero Aittokallio

2020/1/1

Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects

Nature communications

Heli Julkunen

Anna Cichonska

Prson Gautam

Sandor Szedmak

Jane Douat

...

2020/12/1

Substrate specificity of 2-deoxy-D-ribose 5-phosphate aldolase (DERA) assessed by different protein engineering and machine learning methods

Applied Microbiology and Biotechnology

Sanni Voutilainen

Markus Heinonen

Martina Andberg

Emmi Jokinen

Hannu Maaheimo

...

2020/12

Learning output embeddings in structured prediction

arXiv preprint arXiv:2007.14703

Luc Brogat-Motte

Alessandro Rudi

Céline Brouard

Juho Rousu

Florence d'Alché-Buc

2020/7/29

A solution for large scale nonlinear regression with high rank and degree at constant memory complexity via latent tensor reconstruction

arXiv preprint arXiv:2005.01538

Sandor Szedmak

Anna Cichonska

Heli Julkunen

Tapio Pahikkala

Juho Rousu

2020/5/4

See List of Professors in Juho Rousu University(Aalto-yliopisto)

Co-Authors

H-index: 84
John Shawe-Taylor

John Shawe-Taylor

University College London

H-index: 67
Tero Aittokallio

Tero Aittokallio

Turun yliopisto

H-index: 52
Sebastian Böcker

Sebastian Böcker

Friedrich-Schiller-Universität Jena

H-index: 51
Emma Schymanski

Emma Schymanski

Université du Luxembourg

H-index: 40
Tapio Pahikkala

Tapio Pahikkala

Turun yliopisto

H-index: 27
Sandor Szedmak

Sandor Szedmak

Aalto-yliopisto

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