| Website | https://rc-trust.ai |
The next iteration of our scientific speed dating will take place on May 29 in Bochum. This time, Trustworthy AI is in the focus. All researchers from the university alliance ruhr are cordially invited to extend their network and apply for grants of up to 80.000€.
The two #machinelearning papers presented by our researchers at this year's #ijcnn23 are now finally available online 🎉
(Left) Simon Klüttermann on a systematic and extensive evaluation of combination procedures for ensembles in unsupervised anomaly detection.
📜https://ls9-www.cs.tu-dortmund.de/publications/IJCNN2023.pdf
(Right) Bin Li presenting ContrastAD a framework for anomaly detection in noisy and high-dimensional time series data, focusing on the local context in which anomalies appear.
📜https://ls9-www.cs.tu-dortmund.de/publications/ContrastAD_IJCNN2023.pdf
Are you ready to #RockYourPhD?
Apply 🚨 NOW 🚨 for our Summer School on Data-Driven Methods for Logistics jointly organized with the @[email protected] Graduate School of #logistics and Lamarr Institute for #machinelearning and #artificialintelligence taking place the week after next week.
📅 June 26-29
📍 Fraunhofer IML (TU Dortmund #logistics campus)
🔗 https://gsoflog.lfo.tu-dortmund.de/phd-school-of-logistics-2023/
📢 Next Thursday, there will be 2️⃣ exciting invited talks in a joint session with @[email protected] Center for #DataScience and Simulation.
The speakers from @bfr will share regulatory views on building #trust in #science and applications in the food sector.
https://dodas.tu-dortmund.de/professur/aktuelles/details/nachricht-21-35-21752/
📢 In our next invited talk on Thursday, Jakob Runge, head of the Causal Inference Group @DLR and guest professor for Climate Informatics @tuberlin, will discuss applications of causal inference in #machinelearning and #data-driven science.
We already moved into our new headquarter a couple of weeks ago but thanks to the new sign 🪧 you can now also actually find us when you come by our building shared with the Lamarr Institute on @[email protected] campus 🤩
📜New preprint available.
Victor Medina-Olivares et al. have shared their most recent work on predicting event times with cure fractions using flexible survival models and #deeplearning on @arxiv_stats
We propose a novel method for predicting time-to-event in the presence of cure fractions based on flexible survivals models integrated into a deep neural network framework. Our approach allows for non-linear relationships and high-dimensional interactions between covariates and survival and is suitable for large-scale applications. Furthermore, we allow the method to incorporate an identified predictor formed of an additive decomposition of interpretable linear and non-linear effects and add an orthogonalization layer to capture potential higher dimensional interactions. We demonstrate the usefulness and computational efficiency of our method via simulations and apply it to a large portfolio of US mortgage loans. Here, we find not only a better predictive performance of our framework but also a more realistic picture of covariate effects.
What did researchers do in their childhood and how did they actually get in touch with #science?
As one of 30 researchers, our PI Nadja Klein describes her experiences in the children's book "Young Scientists"
More #AcademicJobs: Come, join us as a professor specializing in human-centered #AI and work with our our #interdisciplinary team doing research in #DataScience, #Psychology, #Privacy and more.
📢 Apply until 21 June @[email protected] @[email protected]
https://static.rc-trust.ai/Full_Professorship_W3_Human-AI_Interaction.pdf
As of April 2023, Prof. Nadja Klein has joined our team at the Department of Statistics @[email protected]
She focuses on #interdisciplinary research at the intersection of statistical learning and #MachineLearning as well as uncertainty quantification.
Official press release: https://www.tu-dortmund.de/universitaet/aktuelles/detail/universitaetsallianz-ruhr-gewinnt-mathematikerin-fuer-forschungsprofessur-30984/
🙌Welcome to RC #TRUST!🙌
Prof. Nadja Klein ist zum April von der HU Berlin ans Research Center Trustworthy Data Science and Security der Universitätsallianz Ruhr gewechselt. Die Professur „Uncertainty Quantification and Statistical Learning“ ist an der Fakultät Statistik der TU Dortmund verortet.
