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Robustness verification of ReLU networks via quadratic programming

Machine learning, 2022-07, Vol.111 (7), p.2407-2433

2022

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Spatiotemporal analysis of heavy rain-induced flood occurrences in Germany using a novel event database approach

Journal of hydrology (Amsterdam), 2021-04, Vol.595, p.125985, Article 125985

2021

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Reachable sets of classifiers and regression models: (non-)robustness analysis and robust training

Machine learning, 2021-06, Vol.110 (6), p.1175-1197

2021

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Temporal state change Bayesian networks for modeling of evolving multivariate state sequences: model, structure discovery and parameter estimation

Data mining and knowledge discovery, 2022, Vol.36 (1), p.240-294

2022

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Using Deep Learning for Flexible and Scalable Earthquake Forecasting

Geophysical research letters, 2023-09, Vol.50 (17), p.n/a

2023

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Mining communities and their descriptions on attributed graphs: a survey

Data mining and knowledge discovery, 2021-05, Vol.35 (3), p.661-687

2021

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Evaluating clustering in subspace projections of high dimensional data

Proceedings of the VLDB Endowment, 2009-08, Vol.2 (1), p.1270-1281

2009

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ZooBP: belief propagation for heterogeneous networks

Proceedings of the VLDB Endowment, 2017-01, Vol.10 (5), p.625-636

2017

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United States politicians' tone became more negative with 2016 primary campaigns

Scientific reports, 2023-06, Vol.13 (1), p.10495-10495, Article 10495

2023

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How robust are modern graph neural network potentials in long and hot molecular dynamics simulations?

Machine learning: science and technology, 2022-12, Vol.3 (4), p.45010

2022

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Predicting cellular responses to complex perturbations in high‐throughput screens

Molecular systems biology, 2023-06, Vol.19 (6), p.e11517-n/a

2023

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Generalized Synchronized Active Learning for Multi-Agent-Based Data Selection on Mobile Robotic Systems

IEEE robotics and automation letters, 2024-10, Vol.9 (10), p.8659-8666

2024

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Recursive SQL and GPU-support for in-database machine learning

Distributed and parallel databases : an international journal, 2022-09, Vol.40 (2-3), p.205-259

2022

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Intrinsic Degree: An Estimator of the Local Growth Rate in Graphs

Similarity Search and Applications, p.195-208

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Gauss Shift: Density Attractor Clustering Faster Than Mean Shift

Machine Learning and Knowledge Discovery in Databases, p.125-142

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Com2: Fast Automatic Discovery of Temporal (‘Comet’) Communities

Advances in Knowledge Discovery and Data Mining, p.271-283

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Learning Temporal Specifications from Imperfect Traces Using Bayesian Inference

2019 56th ACM/IEEE Design Automation Conference (DAC), 2019, p.1-6

2019

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Beyond Blocks: Hyperbolic Community Detection

Machine Learning and Knowledge Discovery in Databases, p.50-65

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Discovering Groups of Signals in In-Vehicle Network Traces for Redundancy Detection and Functional Grouping

Machine Learning and Knowledge Discovery in Databases, p.86-102

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Regional-scale prediction of pluvial and flash flood susceptible areas using tree-based classifiers

Journal of hydrology (Amsterdam), 2022-09, Vol.612, p.128088, Article 128088

2022

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Generalized density attractor clustering for incomplete data

Data mining and knowledge discovery, 2023-03, Vol.37 (2), p.970-1009

2023

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ChatGPT for good? On opportunities and challenges of large language models for education

Learning and individual differences, 2023-04, Vol.103, p.102274, Article 102274

2023

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Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2018-04, Vol.32 (1)

2018

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A model-driven approach to machine learning and software modeling for the IoT: Generating full source code for smart Internet of Things (IoT) services and cyber-physical systems (CPS)

Software and systems modeling, 2022-06, Vol.21 (3), p.987-1014

2022

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Providing guidance on efficient flash flood documentation: an application based approach

Journal of hydrology (Amsterdam), 2020-02, Vol.581, p.124466, Article 124466

2020

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Robustness verification of ReLU networks via quadratic programming

Spatiotemporal analysis of heavy rain-induced flood occurrences in Germany using a novel event database approach

Reachable sets of classifiers and regression models: (non-)robustness analysis and robust training

Temporal state change Bayesian networks for modeling of evolving multivariate state sequences: model, structure discovery and parameter estimation

Using Deep Learning for Flexible and Scalable Earthquake Forecasting

Mining communities and their descriptions on attributed graphs: a survey

Evaluating clustering in subspace projections of high dimensional data

ZooBP: belief propagation for heterogeneous networks

United States politicians' tone became more negative with 2016 primary campaigns

How robust are modern graph neural network potentials in long and hot molecular dynamics simulations?

Predicting cellular responses to complex perturbations in high‐throughput screens

Generalized Synchronized Active Learning for Multi-Agent-Based Data Selection on Mobile Robotic Systems

Recursive SQL and GPU-support for in-database machine learning

Intrinsic Degree: An Estimator of the Local Growth Rate in Graphs

Gauss Shift: Density Attractor Clustering Faster Than Mean Shift

Com2: Fast Automatic Discovery of Temporal (‘Comet’) Communities

Learning Temporal Specifications from Imperfect Traces Using Bayesian Inference

Beyond Blocks: Hyperbolic Community Detection

Discovering Groups of Signals in In-Vehicle Network Traces for Redundancy Detection and Functional Grouping

Regional-scale prediction of pluvial and flash flood susceptible areas using tree-based classifiers

Generalized density attractor clustering for incomplete data

ChatGPT for good? On opportunities and challenges of large language models for education

Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure

A model-driven approach to machine learning and software modeling for the IoT: Generating full source code for smart Internet of Things (IoT) services and cyber-physical systems (CPS)

Providing guidance on efficient flash flood documentation: an application based approach

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