Provable cluster-preserving visualizations with curvature-based stochastic neighbor embeddings
Proceedings of the National Academy of Sciences (2026) | Article
TopoMIL: Topology Improves Multiple Instance Learning in Diagnostic Microscopic Images
Salome Kazeminia, Muhammed Furkan Dasdelen, Bastian Rieck, Carsten Marr, (2026) | Prépublication
Molecular Machine Learning Using Euler Characteristic Transforms
Victor Toscano-Duran, Florian Rottach, Bastian Rieck (2026)
| Chapitre de livre
LEAP: Local ECT-Based Learnable Positional Encodings for Graphs
Juan Amboage and Ernst Röell and Patrick Schnider and Bastian Rieck,
International Conference on Learning Representations:
(2026) | Conférence
Have Graph -- Will Lift? The Case for Higher-Order Benchmarks
Bastian Rieck,
Proceedings of the Geometry, Topology, and Machine Learning Workshop: PMLR
(2026) | Conférence
NervePool: A Simplicial Pooling Layer
McGuire Scullen, S. and Röell, E. and Munch, E. and Rieck, B. and Hirn, M.
, Arxiv (2026) | Autre
Graph Neural Networks Are Not Continuous Across Graph Resolutions
Koke, C. and Shen, Y. and Saroha, A. and Eisenberger, M. and Rieck, B. and Bronstein, M. and Cremers, D.
, Arxiv (2026) | Autre
Graph Homomorphism Distortion: A Metric to Distinguish Them All and in the Latent Space Bind Them
Carrasco, M. and Zaghen, O. and Sumaraj, K. and Bekkers, E. and Rieck, B.
, Arxiv (2026) | Autre
TOAST: Transformer Optimization using Adaptive and Simple Transformations
Transactions on Machine Learning Research (2026) | Article
Topological Inductive Bias fosters Multiple Instance Learning in Data-Scarce Scenarios
Transactions on Machine Learning Research (2026) | Article
Persistent Homology via Ellipsoids
Canova, N. and Kali?nik, S. and Moser, A. and Rieck, B. and ?egarac, A.
, Arxiv (2026) | Autre
Invariant-Based Diagnostics for Graph Benchmarks
von Moos, R. and Alain, M. and Rieck, B.
, Arxiv (2026) | Autre
No Triangulation Without Representation: Generalization in Topological Deep Learning
Schmidt, J.S. and Carrasco, M. and Röell, E. and Wolf, G. and Blaser, N. and Rieck, B.
, Arxiv (2026) | Autre
Diversity Curves for Graph Representation Learning
Limbeck, K. and Häusermann, N. and Carrasco, M. and Wolf, G. and Rieck, B.
, Arxiv (2026) | Autre
Topology and Combinatorics: Generalization in Deep Learning
Schmidt, J.S. and Carrasco, M. and Röell, E. and Wolf, G. and Blaser, N. and Rieck, B.,
Eurographics Symposium on Geometry Processing:
(2026) | Conférence
Geometry-Aware Simplicial Message Passing
Wang, E.X. and Rieck, B.
, Arxiv (2026) | Autre
Encoding the Euler Characteristic Transform
Blaser, N. and Gardaa, O.H. and Salbu, L.M. and Wang, E.X. and Rieck, B.
, Arxiv (2026) | Autre
Geometry-Aware Edge Pooling for Graph Neural Networks
Limbeck, K. and Mezrag, L. and Wolf, G. and Rieck, B.
, Arxiv (2026) | Autre
A Centrality Measure Using Magnitude Homology
Häusermann, N. and Rieck, B.
, Arxiv (2026) | Autre
Comparing Chatbot Performance Enhanced with Persistent Homology
Raghavaraju, N. and Giunti, B. and Rieck, B.
, Arxiv (2026) | Autre
Principal Curvatures Estimation with Applications to Single Cell Data
Zhang, Yanlei and Mezrag, Lydia and Sun, Xingzhi and Xu, Charles and Macdonald, Kincaid and Bhaskar, Dhananjay and Krishnaswamy, Smita and Wolf, Guy and Rieck, Bastian,
ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP): IEEE
(6.4.2025) | Conférence
MAGNet: Motif-Agnostic Generation of Molecules from Scaffolds
Leon Hetzel and Johanna Sommer and Bastian Rieck and Fabian Theis and Stephan Günnemann,
International Conference on Learning Representations:
(2025) | Conférence
MANTRA: The Manifold Triangulations Assemblage
Rubén Ballester and Ernst Röell and Daniel Bin Schmid and Mathieu Alain and Sergio Escalera and Carles Casacuberta and Bastian Rieck,
International Conference on Learning Representations:
(2025) | Conférence
Characterizing Physician Referral Networks with Ricci Curvature
Jeremy Wayland, Russell J. Funk, Bastian Rieck (2025)
| Chapitre de livre
Less is More: Local Intrinsic Dimensions of Contextual Language Models
Benjamin Matthias Ruppik and von Rohrscheidt, Julius and van Niekerk, Carel and Michael Heck and Renato Vukovic and Shutong Feng and Hsien-chin Lin and Nurul Lubis and Bastian Rieck and Marcus Zibrowius and Milica Gašić,
Advances in Neural Information Processing Systems: Curran Associates, Inc.
(2025) | Conférence
Defining and benchmarking open problems in single-cell analysis
Nature Biotechnology (2025) | Article
Point Cloud Synthesis Using Inner Product Transforms
Ernst Röell and Bastian Rieck,
Advances in Neural Information Processing Systems: Curran Associates, Inc.
(2025) | Conférence
Topology Meets Machine Learning: An Introduction Using the Euler Characteristic Transform
Notices of the American Mathematical Society (2025) | Article
Graph and Simplicial Complex Prediction Gaussian Process via the Hodgelet Representations
Alain, M. and Takao, S. and Dong, X. and Rieck, B. and Noutahi, E.
, Arxiv (2025) | Autre
Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms
von Rohrscheidt, J. and Rieck, B.,
Proceedings of Machine Learning Research:
(2025) | Conférence
No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets
Coupette, C. and Wayland, J. and Simons, E. and Rieck, B.,
Proceedings of Machine Learning Research:
(2025) | Conférence
Learning of visual sequences by neurons in the human hippocampus
John, T. and Zhou, Y. and Aljishi, A. and Rieck, B. and Turk-Browne, N.B. and Damisah, E.C.
, Biorxiv (2025) | Autre
Low-dimensional embeddings of high-dimensional data
de Bodt, C. and Diaz-Papkovich, A. and Bleher, M. and Bunte, K. and Coupette, C. and Damrich, S. and Sanmartin, E.F. and Hamprecht, F.A. and Horvát, E.-?. and Kohli, D. and Krishnaswamy, S. and Lee, J.A. and Lelieveldt, B.P.F. and McInnes, L. and Nabney, I.T. and Noichl, M. and Poli?ar, P.G. and Rieck, B. and Wolf, G. and Mishne, G. and Kobak, D.
, Arxiv (2025) | Autre
From Topology to Retrieval: Decoding Embedding Spaces with Unified Signatures
Rottach, F. and Rudman, W. and Rieck, B. and Scells, H. and Eickhoff, C.
, Arxiv (2025) | Autre
The magnitude vector of images
Journal of Applied and Computational Topology (2024) | Article
Enhancing the diagnosis of functionally relevant coronary artery disease with machine learning
Nature Communications (2024) | Article
Advancing Precision Medicine: Algebraic Topology and Differential Geometry in Radiology and Computational Pathology
Laboratory Investigation (2024) | Article
Simplicial Representation Learning with Neural k-Forms
Kelly Maggs and Celia Hacker and Bastian Rieck,
International Conference on Learning Representations:
(2024) | Conférence
Differentiable Euler Characteristic Transforms for Shape Classification
Ernst Röell and Bastian Rieck,
International Conference on Learning Representations:
(2024) | Conférence
Detecting Spatial Dependence in Transcriptomics Data using Vectorised Persistence Diagrams
Limbeck, K. and Rieck, B.
, Arxiv (2024) | Autre
Graph Classification Gaussian Processes via Hodgelet Spectral Features
Alain, M. and Takao, S. and Dong, X. and Rieck, B. and Noutahi, E.
, Arxiv (2024) | Autre
The Manifold Density Function: An Intrinsic Method for the Validation of Manifold Learning
Holmgren, B. and Quist, E. and Schupbach, J. and Fasy, B.T. and Rieck, B.
, Arxiv (2024) | Autre
Mapping the Multiverse of Latent Representations
Wayland, J. and Coupette, C. and Rieck, B.,
Proceedings of Machine Learning Research:
(2024) | Conférence
Position: Topological Deep Learning is the New Frontier for Relational Learning
Papamarkou, T. and Birdal, T. and Bronstein, M. and Carlsson, G. and Curry, J. and Gao, Y. and Hajij, M. and Kwitt, R. and Liò, P. and Di Lorenzo, P. and Maroulas, V. and Miolane, N. and Nasrin, F. and Ramamurthy, K.N. and Rieck, B. and Scardapane, S. and Schaub, M.T. and Veli?kovi?, P. and Wang, B. and Wang, Y. and Wei, G.-W. and Zamzmi, G.,
Proceedings of Machine Learning Research:
(2024) | Conférence
Metric Space Magnitude for Evaluating the Diversity of Latent Representations
Limbeck, K. and Andreeva, R. and Sarkar, R. and Rieck, B.,
Advances in Neural Information Processing Systems:
(2024) | Conférence
Bayesian Computation Meets Topology
Transactions on Machine Learning Research (2024) | Article
CliquePH: Higher-Order Information for Graph Neural Networks through Persistent Homology on Clique Graphs
Buffelli, D. and Soleymani, F. and Rieck, B.,
Proceedings of Machine Learning Research:
(2024) | Conférence
On the Expressivity of Persistent Homology in Graph Learning
Ballester, R. and Rieck, B.,
Proceedings of Machine Learning Research:
(2024) | Conférence
All the world’s a (hyper)graph: A data drama
Digital Scholarship in the Humanities (2023) | Article
Predicting sepsis using deep learning across international sites: a retrospective development and validation study
eClinicalMedicine (2023) | Article
Who can Submit an Excellent Review for this Manuscript in the Next 30 Days? - Peer Reviewing in the Age of Overload
Alhoori, Hamed and Fox, Edward A. and Frommholz, Ingo and Liu, Haiming and Coupette, Corinna and Rieck, Bastian A. and Ghosal, Tirthankar and Wu, Jian,
2023 ACM/IEEE Joint Conference on Digital Libraries (JCDL): IEEE
(6.2023) | Conférence
Time-Inhomogeneous Diffusion Geometry and Topology
SIAM Journal on Mathematics of Data Science (2023) | Article
Single-cell analysis reveals inflammatory interactions driving macular degeneration
Nature Communications (2023) | Article
Cell cycle controls long-range calcium signaling in the regenerating epidermis
Journal of Cell Biology (2023) | Article
A Note on Cherry-Picking in Meta-Analyses
Entropy (2023) | Article
A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images
Waibel, Dominik J. E. and Röell, Ernst and Rieck, Bastian and Giryes, Raja and Marr, Carsten,
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI): IEEE
(18.4.2023) | Conférence
Neurospectrum: A Geometric and Topological Deep Learning Framework for Uncovering Spatiotemporal Signatures in Neural Activity
Dhananjay Bhaskar, Yanlei Zhang, Jessica L Moore, Feng Gao, Bastian Rieck, Guy Wolf, Firas Khasawneh, Elizabeth Munch, J. Adam Noah, Helen Pushkarskaya, Christopher Pittenger, Valentina Greco, Smita Krishnaswamy, Jessica Moore, (2023) | Prépublication
Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework
Corinna Coupette and Sebastian Dalleiger and Bastian Rieck,
International Conference on Learning Representations :
(2023) | Conférence
DONUT: Creation, Development, and Opportunities of a Database
Notices of the American Mathematical Society (2023) | Article
Evaluating the “Learning on Graphs” Conference Experience
Rieck, B. and Coupette, C.
, Arxiv (2023) | Autre
Curvature Filtrations for Graph Generative Model Evaluation
Southern, J. and Wayland, J. and Bronstein, M. and Rieck, B.,
Advances in Neural Information Processing Systems:
(2023) | Conférence
Filtration Surfaces for Dynamic Graph Classification
Srambical, F. and Rieck, B.
, Arxiv (2023) | Autre
Euler Characteristic Transform Based Topological Loss for Reconstructing 3D Images from Single 2D Slices
Varma Nadimpalli, K. and Chattopadhyay, A. and Rieck, B.,
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops:
(2023) | Conférence
Weisfeiler and Leman go Machine Learning: The Story so far
Journal of Machine Learning Research (2023) | Article
Topological Singularity Detection at Multiple Scales
von Rohrscheidt, J. and Rieck, B.,
Proceedings of Machine Learning Research:
(2023) | Conférence
Metric Space Magnitude and Generalisation in Neural Networks
Andreeva, R. and Limbeck, K. and Rieck, B. and Sarkar, R.,
Proceedings of Machine Learning Research:
(2023) | Conférence
Multiscale PHATE identifies multimodal signatures of COVID-19
Nature Biotechnology (2022) | Article
Direct antimicrobial resistance prediction from clinical MALDI-TOF mass spectra using machine learning
Nature Medicine (2022) | Article
Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions
Leslie O’Bray and Max Horn and Bastian Rieck and Karsten Borgwardt,
International Conference on Learning Representations:
(2022) | Conférence
Topological Graph Neural Networks
Max Horn and Edward De Brouwer and Michael Moor and Yves Moreau and Bastian Rieck and Karsten Borgwardt,
International Conference on Learning Representations:
(2022) | Conférence
Capturing Shape Information with Multi-scale Topological Loss Terms for 3D Reconstruction
, dans Medical Image Computing and Computer Assisted Intervention – MICCAI 2022
Waibel, Dominik J. E. and Atwell, Scott and Meier, Matthias and Marr, Carsten and Rieck, Bastian (Springer Nature Switzerland, 2022), ISBN: 9783031164408
| Chapitre de livre
Exploring the Geometry and Topology of Neural Network Loss Landscapes
, dans Advances in Intelligent Data Analysis XX
Horoi, Stefan and Huang, Jessie and Rieck, Bastian and Lajoie, Guillaume and Wolf, Guy and Krishnaswamy, Smita (Springer International Publishing, 2022), ISBN: 9783031013331
| Chapitre de livre
Improved MALDI-TOF MS based antimicrobial resistance prediction through hierarchical stratification
Weis, C. and Rieck, B. and Balzer, S. and Cuénod, A. and Egli, A. and Borgwardt, K.
, Biorxiv (2022) | Autre
On Measuring Excess Capacity in Neural Networks
Graf, F. and Zeng, S. and Rieck, B. and Niethammer, M. and Kwitt, R.,
Advances in Neural Information Processing Systems:
(2022) | Conférence
Taxonomy of Benchmarks in Graph Representation Learning
Liu, R. and Cantürk, S. and Wenkel, F. and McGuire, S. and Wang, X. and Little, A. and O’Bray, L. and Perlmutter, M. and Rieck, B. and Hirn, M. and Wolf, G. and Rampá?ek, L.,
Proceedings of Machine Learning Research:
(2022) | Conférence
ON THE SURPRISING BEHAVIOUR OF NODE2VEC
Hacker, C. and Rieck, B.,
Proceedings of Machine Learning Research:
(2022) | Conférence
Diffusion Curvature for Estimating Local Curvature in High Dimensional Data
Bhaskar, D. and MacDonald, K. and Fasina, O. and Thomas, D. and Rieck, B. and Adelstein, I. and Krishnaswamy, S.,
Advances in Neural Information Processing Systems:
(2022) | Conférence
Filtration Curves for Graph Representation
O’Bray, Leslie and Rieck, Bastian and Borgwardt, Karsten,
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining: ACM
(14.8.2021) | Conférence
Stable topological signatures for metric trees through graph approximations
Pattern Recognition Letters (2021) | Article
Early Prediction of Sepsis in the ICU Using Machine Learning: A Systematic Review
Frontiers in Medicine (2021) | Article
A Survey of Topological Machine Learning Methods
Frontiers in Artificial Intelligence (2021) | Article
Accelerating Detection of Lung Pathologies with Explainable Ultrasound Image Analysis
Applied Sciences (2021) | Article
Multiscale PHATE Exploration of SARS-CoV-2 Data Reveals Multimodal Signatures of Disease
Kuchroo, M. and Huang, J. and Wong, P. and Grenier, J.-C. and Shung, D. and Tong, A. and Lucas, C. and Klein, J. and Burkhardt, D.B. and Gigante, S. and Godavarthi, A. and Rieck, B. and Israelow, B. and Simonov, M. and Mao, T. and Oh, J.E. and Silva, J. and Takahashi, T. and Odio, C.D. and Casanovas-Massana, A. and Fournier, J. and Farhadian, S. and Dela Cruz, C.S. and Ko, A.I. and Hirn, M.J. and Wilson, F.P. and Hussin, J. and Wolf, G. and Iwasaki, A. and Krishnaswamy, S.
, Research Square (2021) | Autre
G2 stem cells orchestrate time-directed, long-range coordination of calcium signaling during skin epidermal regeneration
Moore, J.L. and Gao, F. and Matte-Martone, C. and Du, S. and Lathrop, E. and Ganesan, S. and Shao, L. and Bhaskar, D. and Cox, A. and Hendry, C. and Rieck, B. and Krishnaswamy, S. and Greco, V.
, Biorxiv (2021) | Autre
Interpretability aware model training to improve robustness against out-of-distribution magnetic resonance images in Alzheimer’s disease classification
Kuijs, M. and Jutzeler, C.R. and Rieck, B. and Brüningk, S.C.
, Arxiv (2021) | Autre
A sandbox for prediction and integration of DNA, RNA, and protein data in single cells
Luecken, M.D. and Burkhardt, D.B. and Cannoodt, R. and Lance, C. and Agrawal, A. and Aliee, H. and Chen, A.T. and Deconinck, L. and Detweiler, A.M. and Granados, A. and Huynh, S. and Isacco, L. and Kim, Y.J. and Klein, D. and De Kumar, B. and Kuppasani, S. and Lickert, H. and McGeever, A. and Mekonen, H. and Melgarejo, J.C. and Morri, M. and Mueller, M. and Neff, N.F. and Paul, S. and Rieck, B. and Schneider, K. and Steelman, S. and Sterr, M. and Treacy, D.J. and Tong, A. and Villani, A.-C. and Wang, G. and Yan, J. and Zhang, C. and Pisco, A.O. and Krishnaswamy, S. and Theis, F.J. and Bloom, J.M.,
Advances in Neural Information Processing Systems:
(2021) | Conférence
Basic analysis of bin-packing heuristics
Rieck, B.
, Arxiv (2021) | Autre
Back to the basics with inclusion of clinical domain knowledge - A simple, scalable and effective model of Alzheimer’s Disease classification
Brüningk, S.C. and Hensel, F. and Lukas, L.P. and Kuijs, M. and Jutzeler, C.R. and Rieck, B.,
Proceedings of Machine Learning Research:
(2021) | Conférence
Towards a taxonomy of graph learning datasets
Liu, R. and Cantürk, S. and Wenkel, F. and Sandfelder, D. and Kreuzer, D. and Little, A. and McGuire, S. and O?Bray, L. and Perlmutter, M. and Rieck, B. and Hirn, M. and Wolf, G. and Rampá?ek, L.
, Arxiv (2021) | Autre
Enhancing statistical power in temporal biomarker discovery through representative shapelet mining
Bioinformatics (2020) | Article
Comorbidities, clinical signs and symptoms, laboratory findings, imaging features, treatment strategies, and outcomes in adult and pediatric patients with COVID-19: A systematic review and meta-analysis
Travel Medicine and Infectious Disease (2020) | Article
Topological and kernel-based microbial phenotype prediction from MALDI-TOF mass spectra
Bioinformatics (2020) | Article
Network-guided search for genetic heterogeneity between gene pairs
Bioinformatics (2020) | Article
Early prediction of circulatory failure in the intensive care unit using machine learning
Nature Medicine (2020) | Article
Topological Machine Learning with Persistence Indicator Functions
, dans Topological Methods in Data Analysis and Visualization V
Rieck, Bastian and Sadlo, Filip and Leitte, Heike (Springer International Publishing, 2020), ISBN: 9783030430368
| Chapitre de livre
Hierarchies and Ranks for Persistence Pairs
, dans Topological Methods in Data Analysis and Visualization V
Rieck, Bastian and Sadlo, Filip and Leitte, Heike (Springer International Publishing, 2020), ISBN: 9783030430368
| Chapitre de livre
Graph Kernels: State-of-the-Art and Future Challenges
Foundations and Trends® in Machine Learning (2020) | Article
Persistence Concepts for 2D Skeleton Evolution Analysis
, dans Topological Methods in Data Analysis and Visualization V
Rieck, Bastian and Sadlo, Filip and Leitte, Heike (Springer International Publishing, 2020), ISBN: 9783030430368
| Chapitre de livre
Persistent Intersection Homology for the Analysis of Discrete Data
, dans Topological Methods in Data Analysis and Visualization V
Rieck, Bastian and Banagl, Markus and Sadlo, Filip and Leitte, Heike (Springer International Publishing, 2020), ISBN: 9783030430368
| Chapitre de livre
Graph Filtration Learning
Hofer, Christoph and Graf, Florian and Rieck, Bastian and Niethammer, Marc and Kwitt, Roland,
Proceedings of the 37th International Conference on Machine Learning: PMLR
(2020) | Conférence
Path imputation strategies for signature models of irregular time series
Moor, M. and Horn, M. and Bock, C. and Borgwardt, K. and Rieck, B.
, Arxiv (2020) | Autre
Set Functions for Time Series
Horn, M. and Moor, M. and Bock, C. and Rieck, B. and Borgwardt, K.,
Proceedings of Machine Learning Research:
(2020) | Conférence
Topological data analysis of copy number alterations in cancer
Groha, S. and Weis, C. and Gusev, A. and Rieck, B.
, Arxiv (2020) | Autre
Topological autoencoders
Moor, M. and Horn, M. and Rieck, B. and Borgwardt, K.,
37th International Conference on Machine Learning Icml 2020:
(2020) | Conférence
Uncovering the topology of time-varying fMRI data using cubical persistence
Rieck, B. and Yates, T. and Bock, C. and Borgwardt, K. and Wolf, G. and Turk-Browne, N. and Krishnaswamy, S.,
Advances in Neural Information Processing Systems:
(2020) | Conférence
Image analysis for Alzheimer’s disease prediction: Embracing pathological hallmarks for model architecture design
Brüningk, S.C. and Hensel, F. and Jutzeler, C.R. and Rieck, B.
, Arxiv (2020) | Autre
A Wasserstein Subsequence Kernel for Time Series
Bock, Christian and Togninalli, Matteo and Ghisu, Elisabetta and Gumbsch, Thomas and Rieck, Bastian and Borgwardt, Karsten,
2019 IEEE International Conference on Data Mining (ICDM): IEEE
(11.2019) | Conférence
Visualization of Equivalence in 2D Bivariate Fields
Computer Graphics Forum (2019) | Article
Wasserstein Weisfeiler-Lehman Graph Kernels
Togninalli, Matteo and Ghisu, Elisabetta and Llinares-López, Felipe and Rieck, Bastian and Borgwardt, Karsten,
Advances in Neural Information Processing Systems: Curran Associates, Inc.
(2019) | Conférence
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology
Bastian Rieck and Matteo Togninalli and Christian Bock and Michael Moor and Max Horn and Thomas Gumbsch and Karsten Borgwardt,
International Conference on Learning Representations:
(2019) | Conférence
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping
Moor, M. and Horn, M. and Rieck, B. and Roqueiro, D. and Borgwardt, K.,
Proceedings of Machine Learning Research:
(2019) | Conférence
A persistent weisfeiler-lehman procedure for graph classification
Rieck, B. and Bock, C. and Borgwardt, K.,
36th International Conference on Machine Learning Icml 2019:
(2019) | Conférence
A Persistent Weisfeiler–Lehman Procedure for Graph Classification
Rieck, B. and Bock, C. and Borgwardt, K.,
Proceedings of Machine Learning Research:
(2019) | Conférence
Machine learning for early prediction of circulatory failure in the intensive care unit
Hyland, S.L. and Faltys, M. and Hüser, M. and Lyu, X. and Gumbsch, T. and Esteban, C. and Bock, C. and Horn, M. and Moor, M. and Rieck, B. and Zimmermann, M. and Bodenham, D. and Borgwardt, K. and Rätsch, G. and Merz, T.M.
, Arxiv (2019) | Autre
BOSC 2019, the 20th annual Bioinformatics Open Source Conference
F1000research (2019) | Article
Association mapping in biomedical time series via statistically significant shapelet mining
Bioinformatics (2018) | Article
Visualization of 4D Vector Field Topology
Computer Graphics Forum (2018) | Article
Visualization of Fullerene Fragmentation
Sdeo, Kai and Rieck, Bastian and Sadlo, Filip,
2018 IEEE Pacific Visualization Symposium (PacificVis): IEEE
(4.2018) | Conférence
Clique Community Persistence: A Topological Visual Analysis Approach for Complex Networks
IEEE Transactions on Visualization and Computer Graphics (2018) | Article
Visualization of Parameter Sensitivity of 2D Time-Dependent Flow
, dans Advances in Visual Computing
Hanser, Karsten and Klein, Ole and Rieck, Bastian and Wiebe, Bettina and Selz, Tobias and Piatkowski, Marian and Sagristà, Antoni and Zheng, Boyan and Lukácová-Medvidová, Mária and Craig, George and Leitte, Heike and Sadlo, Filip (Springer International Publishing, 2018), ISBN: 9783030038014
| Chapitre de livre
