We are grateful for the opportunity to present some of our recent work at the ISG with two posters at the COSEAL Workshop 2023 at Sorbonne University in Paris. The COnfiguration and SElection of ALgorithms (COSEAL) network of researchers regularly meets to discuss recent advances in the field of algorithm Read more…
Just like last year, our Ph.D. students were part of this year’s AutoML Fall School Hackathon winning team. This year the team consisted of Lennart Purucker, Lukas Wegmeth, Gabriela Kadlecová, Nick Erickson, and Sarah Krebs, and was again titled “Team 42”. This marks the second year in succession that our Read more…
We had the pleasure to present our work on benchmarking ensembles in Automated Machine Learning (AutoML) at the first international Conference on Automated Machine Learning (AutoML-Conf 2022). We showed how we can use OpenML to create efficient benchmarks for ensembles in AutoML. The AutoML-Conf 2022 provided a great place for Read more…
Lennart Purucker and Tobias Vente just started their Ph.D. a few months ago, and already won the Hackathon of this year’s AutoML Fall School together with their teammates of “Team 42” (Edward Bergman, Michael Fiegert, Elias Schede, and Gabriela Suchopárová). The Hackathon was based on a Kaggle competition and held Read more…
We welcome Lennart Purucker as a new full-time Ph.D. student at the Intelligent Systems Group at the University of Siegen. Before joining our group, Lennart finished his Bachelor’s and Master’s degrees. He completed his bachelor’s degree in a dual study program at the Baden-Wuerttemberg Cooperative State University (DHBW) Stuttgart. Lennart Read more…
We welcome Tobias Vente as a new full-time Ph.D. student at the Intelligent Systems Group at the University of Siegen. Tobias completed his bachelor’s and master’s degree at the University of Siegen. He took part in the University of Siegen’s exchange program and spent one year of his master’s degree Read more…
Our group — the Intelligent Systems Group at the University of Siegen in Germany — seeks to fill 1 open position for either a postdoctoral researcher or a Ph.D. student. The starting date is flexible but we would prefer it as soon as possible. Your field of research would be flexible (there is no Read more…
— Applications Closed — Visit https://isg.beel.org/jobs/ for latest openings — Our group — the Intelligent Systems Group at the University of Siegen in Germany — recently acquired a €1.25m research grant. Therefore, we have 2 open positions for either postdoctoral researchers or PhD students. Your field of research generally would be very flexible (there Read more…
Automated Machine Learning (AutoML) is receiving increased attention with more and more tools and software libraries released to ease the process of automating the machine learning pipeline, particularly algorithm selection and configuration. We have created a table of some of the more promising AutoML tools and software libraries. We plan Read more…
We welcome Edward Bergman as a new full-time PhD student here at the School of Computer Science and Statistics in Trinity College Dublin, funded through the new D-REAL SFI Centre for Research Training (CRT) and supported by the ADAPT Centre. Edward has completed a bachelor’s degree in Computer Science in Read more…
This is a continuous call until 2022, with student intakes in September every year (and potentially in March). Next deadline is the 29th of February 2020 for a start in September 2020 for the CRT-AI, and 18th of March for the D-Real CRT. Science Foundation Ireland (SFI) agreed to fund Read more…
Rohan Anand is a Masters’s student at the School of Computer Science and Statistics at Trinity College Dublin in Ireland and joins our group for the next eight months to conduct his Master Thesis. During his undergraduate program, Rohan published a paper titled BarGain: Crowd-Sourced Machine Learning Integrated E-Commerce. After Read more…
Our lab is glad to welcome Dr. Avleen Malhi as a visiting postdoc researcher for September 2019 at Trinity College Dublin Ireland. During Avleen’s stay at Trinity College Dublin, her research will be focused on automated machine learning (AutoML) and exploring Siamese neural networks (SNN) for algorithm selection in our recommender-system as-a-service for digital libraries Mr. DLib.