Jaak Simm - RankMe

38 papers A* 3Journal 29Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Continuous time and dynamic suicide attempt risk prediction with neural ordinary differential equations. npj Digit. Medicine Yi-han Sheu, Jaak Simm, Bo Wang, Hyunjoon Lee, Jordan W. Smoller
2024	J	`jnl`	MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information. J. Chem. Inf. Model. Wouter Heyndrickx, Lewis H. Mervin, Tobias Morawietz, Noé Sturm, Lukas Friedrich, Adam Zalewski, Anastasia Pentina, Lina Humbeck, Martijn Oldenhof, Ritsuya Niwayama, Peter Schmidtke, Nikolas Fechner, Jaak Simm, Adam Arany, Nicolas Drizard, Rama Jabal, Arina Afanasyeva, Regis Loeb, Shlok Verma, Simon Harnqvist, Matthew Holmes, Balazs Pejo, Maria Telenczuk, Nicholas Holway, Arne Dieckmann, Nicola Rieke, Friederike Zumsande, Djork-Arné Clevert, Michael Krug, Christopher N. Luscombe, Darren V. S. Green, Peter Ertl, Peter Antal, David Marcus, Nicolas Do Huu, Hideyoshi Fuji, Stephen D. Pickett, Gergely Ács, Eric Boniface, Bernd Beck, Yax Sun, Arnaud Gohier, Friedrich Rippmann, Ola Engkvist, Andreas H. Göller, Yves Moreau, Mathieu N. Galtier, Ansgar Schuffenhauer, Hugo Ceulemans
2023	A*	`conf`	Industry-Scale Orchestrated Federated Learning for Drug Discovery. AAAI Martijn Oldenhof, Gergely Ács, Balázs Pejó, Ansgar Schuffenhauer, Nicholas Holway, Noé Sturm, Arne Dieckmann, Oliver Fortmeier, Eric Boniface, Clément Mayer, Arnaud Gohier, Peter Schmidtke, Ritsuya Niwayama, Dieter Kopecky, Lewis H. Mervin, Prakash Chandra Rathi, Lukas Friedrich, András Formanek, Peter Antal, Jordon Rahaman, Adam Zalewski, Wouter Heyndrickx, Ezron Oluoch, Manuel Stößel, Michal Vanco, David Endico, Fabien Gelus, Thaïs de Boisfossé, Adrien Darbier, Ashley Nicollet, Matthieu Blottière, Maria Telenczuk, Van Tien Nguyen, Thibaud Martinez, Camille Boillet, Kelvin Moutet, Alexandre Picosson, Aurélien Gasser, Inal Djafar, Antoine Simon, Adam Arany, Jaak Simm, Yves Moreau, Ola Engkvist, Hugo Ceulemans, Camille Marini, Mathieu Galtier
2022	J	`jnl`	Industry-Scale Orchestrated Federated Learning for Drug Discovery. CoRR Martijn Oldenhof, Gergely Ács, Balázs Pejó, Ansgar Schuffenhauer, Nicholas Holway, Noé Sturm, Arne Dieckmann, Oliver Fortmeier, Eric Boniface, Clément Mayer, Arnaud Gohier, Peter Schmidtke, Ritsuya Niwayama, Dieter Kopecky, Lewis H. Mervin, Prakash Chandra Rathi, Lukas Friedrich, András Formanek, Peter Antal, Jordon Rahaman, Adam Zalewski, Ezron Oluoch, Manuel Stößel, Michal Vanco, David Endico, Fabien Gelus, Thaïs de Boisfossé, Adrien Darbier, Ashley Nicollet, Matthieu Blottière, Maria Telenczuk, Van Tien Nguyen, Thibaud Martinez, Camille Boillet, Kelvin Moutet, Alexandre Picosson, Aurélien Gasser, Inal Djafar, Adam Arany, Jaak Simm, Yves Moreau, Ola Engkvist, Hugo Ceulemans, Camille Marini, Mathieu Galtier
2022	J	`jnl`	SparseChem: Fast and accurate machine learning model for small molecules. CoRR Adam Arany, Jaak Simm, Martijn Oldenhof, Yves Moreau
2021	J	`jnl`	A novel method for data fusion over entity-relation graphs and its application to protein-protein interaction prediction. Bioinform. Daniele Raimondi, Jaak Simm, Adam Arany, Yves Moreau
2021	—	`conf`	Expressive Graph Informer Networks. LOD Jaak Simm, Adam Arany, Edward De Brouwer, Yves Moreau
2021	A*	`conf`	Latent Convergent Cross Mapping. ICLR Edward De Brouwer, Adam Arany, Jaak Simm, Yves Moreau
2021	J	`jnl`	Self-Labeling of Fully Mediating Representations by Graph Alignment. CoRR Martijn Oldenhof, Adam Arany, Yves Moreau, Jaak Simm
2021	—	`conf`	Self-labeling of Fully Mediating Representations by Graph Alignment. BNAIC/BENELEARN Martijn Oldenhof, Adam Arany, Yves Moreau, Jaak Simm
2021	J	`jnl`	Splitting chemical structure data sets for federated privacy-preserving machine learning. J. Cheminformatics Jaak Simm, Lina Humbeck, Adam Zalewski, Noé Sturm, Wouter Heyndrickx, Yves Moreau, Bernd Beck, Ansgar Schuffenhauer
2021	J	`jnl`	Two-level preconditioning for Ridge Regression. Numer. Linear Algebra Appl. Joris Tavernier, Jaak Simm, Karl Meerbergen, Yves Moreau
2020	J	`jnl`	ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep Learning. CoRR Martijn Oldenhof, Adam Arany, Yves Moreau, Jaak Simm
2020	J	`jnl`	ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep Learning. J. Chem. Inf. Model. Martijn Oldenhof, Adam Arany, Yves Moreau, Jaak Simm
2020	J	`jnl`	Multilevel Gibbs Sampling for Bayesian Regression. CoRR Joris Tavernier, Jaak Simm, Adam Arany, Karl Meerbergen, Yves Moreau
2019	J	`jnl`	Fast semi-supervised discriminant analysis for binary classification of large data sets. Pattern Recognit. Joris Tavernier, Jaak Simm, Karl Meerbergen, Jörg Kurt Wegner, Hugo Ceulemans, Yves Moreau
2019	J	`jnl`	GRNBoost2 and Arboreto: efficient and scalable inference of gene regulatory networks. Bioinform. Thomas Moerman, Sara Aibar Santos, Carmen Bravo González-Blas, Jaak Simm, Yves Moreau, Jan Aerts, Stein Aerts
2019	A*	`conf`	GRU-ODE-Bayes: Continuous Modeling of Sporadically-Observed Time Series. NeurIPS Edward De Brouwer, Jaak Simm, Adam Arany, Yves Moreau
2019	J	`jnl`	GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series. CoRR Edward De Brouwer, Jaak Simm, Adam Arany, Yves Moreau
2019	J	`jnl`	Graph Informer Networks for Molecules. CoRR Jaak Simm, Adam Arany, Edward De Brouwer, Yves Moreau
2019	—	`conf`	SMURFF: A High-Performance Framework for Matrix Factorization Methods. BNAIC/BENELEARN Tom Vander Aa, Imen Chakroun, Tom Ashby, Jaak Simm, Adam Arany, Yves Moreau, Thanh Le Van, José Felipe Golib Dzib, Jörg K. Wegner, Vladimir I. Chupakhin, Hugo Ceulemans, Roel Wuyts, Wilfried Verachtert
2018	J	`jnl`	Deep Ensemble Tensor Factorization for Longitudinal Patient Trajectories Classification. CoRR Edward De Brouwer, Jaak Simm, Adam Arany, Yves Moreau
2018	J	`jnl`	Gene prioritization using Bayesian matrix factorization with genomic and phenotypic side information. Bioinform. Pooya Zakeri, Jaak Simm, Adam Arany, Sarah ElShal, Yves Moreau
2018	J	`jnl`	Multilevel preconditioning for Ridge Regression. CoRR Joris Tavernier, Jaak Simm, Karl Meerbergen, Yves Moreau
2018	J	`jnl`	Towards practical privacy-preserving genome-wide association study. BMC Bioinform. Charlotte Bonte, Eleftheria Makri, Amin Ardeshirdavani, Jaak Simm, Yves Moreau, Frederik Vercauteren
2017	J	`jnl`	Fast semi-supervised discriminant analysis for binary classification of large data-sets. CoRR Joris Tavernier, Jaak Simm, Karl Meerbergen, Jörg K. Wegner, Hugo Ceulemans, Yves Moreau
2017	—	`conf`	Macau: Scalable Bayesian factorization with high-dimensional side information using MCMC. MLSP Jaak Simm, Adam Arany, Pooya Zakeri, Tom Haber, Jörg K. Wegner, Vladimir I. Chupakhin, Hugo Ceulemans, Yves Moreau
2017	J	`jnl`	Privacy-Preserving Genome-Wide Association Study is Practical. IACR Cryptol. ePrint Arch. Charlotte Bonte, Eleftheria Makri, Amin Ardeshirdavani, Jaak Simm, Yves Moreau, Frederik Vercauteren
2016	—	`conf`	A Comprehensive Comparison of Two MEDLINE Annotators for Disease and Gene Linkage: Sometimes Less is More. IWBBIO Sarah ElShal, Jaak Simm, Adam Arany, Pooya Zakeri, Jesse Davis, Yves Moreau
2016	—	`conf`	Topic modeling of biomedical text. BIBM Sarah ElShal, Mithila Mathad, Jaak Simm, Jesse Davis, Yves Moreau
2014	J	`jnl`	Easy Hyperparameter Search Using Optunity. CoRR Marc Claesen, Jaak Simm, Dusan Popovic, Yves Moreau, Bart De Moor
2014	J	`jnl`	Tree-Based Ensemble Multi-Task Learning Method for Classification and Regression. IEICE Trans. Inf. Syst. Jaak Simm, Ildefons Magrans de Abril, Masashi Sugiyama
2012	J	`jnl`	Multi-Task Approach to Reinforcement Learning for Factored-State Markov Decision Problems. IEICE Trans. Inf. Syst. Jaak Simm, Masashi Sugiyama, Hirotaka Hachiya
2011	J	`jnl`	Computationally Efficient Multi-task Learning with Least-squares Probabilistic Classifiers. Inf. Media Technol. Jaak Simm, Masashi Sugiyama, Tsuyoshi Kato
2011	J	`jnl`	Computationally Efficient Multi-task Learning with Least-squares Probabilistic Classifiers. IPSJ Trans. Comput. Vis. Appl. Jaak Simm, Masashi Sugiyama, Tsuyoshi Kato
2011	J	`jnl`	Improving the Accuracy of Least-Squares Probabilistic Classifiers. IEICE Trans. Inf. Syst. Makoto Yamada, Masashi Sugiyama, Gordon Wichern, Jaak Simm
2010	J	`jnl`	Direct Importance Estimation with a Mixture of Probabilistic Principal Component Analyzers. IEICE Trans. Inf. Syst. Makoto Yamada, Masashi Sugiyama, Gordon Wichern, Jaak Simm
2008	J	`jnl`	Knowledge communication in rate.ee, a web picture-rating community. Int. J. Web Based Communities Anni Oja, Jaak Simm