| | Preview | Authors / Editors | Title | Type | Issue Date |
| 1 | | Redshaw, Joseph ; Ting, Darren Shu Jeng ; Brown, Alex ; Hirst, Jonathan D. ; Gärtner, Thomas | Krein support vector machine classification of antimicrobial peptides | Article Artikel ![peer reviewed](/image/PeerReview_Icon.png) | 27-Feb-2023 |
| 2 | ![Maskey-2022-Generalized Laplacian Positional Encoding for Graph Represent...-vor.pdf.jpg](/retrieve/275024/Maskey-2022-Generalized%20Laplacian%20Positional%20Encoding%20for%20Graph%20Represent...-vor.pdf.jpg) | Maskey, Sohir ; Parviz, Ali ; Thiessen, Maximilian ; Stärk, Hannes ; Sadikaj, Ylli ; Maron, Haggai | Generalized Laplacian Positional Encoding for Graph Representation Learning | Presentation Vortrag ![Volltext verfügbar](/image/Volltext_Icon.png) | 3-Dec-2022 |
| 3 | ![Welke-2022-Expectation Complete Graph Representations Using Graph Homomorp...-am.pdf.jpg](/retrieve/274927/Welke-2022-Expectation%20Complete%20Graph%20Representations%20Using%20Graph%20Homomorp...-am.pdf.jpg) | Welke, Pascal ; Thiessen, Maximilian ; Gärtner, Thomas | Expectation Complete Graph Representations Using Graph Homomorphisms | Presentation Vortrag ![Volltext verfügbar](/image/Volltext_Icon.png) | 30-Nov-2022 |
| 4 | | Moskalev, Artem ; Sepliarskaia, Anna ; Sosnovik, Ivan ; Smeulders, Arnold | LieGG: Studying Learned Lie Group Generators | Inproceedings Konferenzbeitrag ![peer reviewed](/image/PeerReview_Icon.png) | 31-Oct-2022 |
| 5 | ![Bressan-2022-Active Learning of Classifiers with Label and Seed Queries-am.pdf.jpg](/retrieve/277198/Bressan-2022-Active%20Learning%20of%20Classifiers%20with%20Label%20and%20Seed%20Queries-am.pdf.jpg) | Bressan, Marco ; Cesa-Bianchi, Nicolò ; Lattanzi, Silvio ; Paudice, Andrea ; Thiessen, Maximilian | Active Learning of Classifiers with Label and Seed Queries | Inproceedings Konferenzbeitrag ![Volltext verfügbar](/image/Volltext_Icon.png) | 31-Oct-2022 |
| 6 | | Thiessen, Maximilian ; Pascal Welke ; Gärtner, Thomas | Expectation Complete Graph Representations using Graph Homomorphisms | Presentation Vortrag | 25-Oct-2022 |
| 7 | ![Thiessen-2022-Expectation Complete Graph Representations Using Graph Homom...-am.pdf.jpg](/retrieve/274651/Thiessen-2022-Expectation%20Complete%20Graph%20Representations%20Using%20Graph%20Homom...-am.pdf.jpg) | Thiessen, Maximilian ; Welke, Pascal ; Gärtner, Thomas | Expectation Complete Graph Representations Using Graph Homomorphisms | Presentation Vortrag ![Volltext verfügbar](/image/Volltext_Icon.png) | 21-Oct-2022 |
| 8 | ![Jogl-2022-Weisfeiler and Leman Return with Graph Transformations-am.pdf.jpg](/retrieve/274351/Jogl-2022-Weisfeiler%20and%20Leman%20Return%20with%20Graph%20Transformations-am.pdf.jpg) | Jogl, Fabian ; Thiessen, Maximilian ; Gärtner, Thomas | Weisfeiler and Leman Return with Graph Transformations | Inproceedings Konferenzbeitrag ![Volltext verfügbar](/image/Volltext_Icon.png) | 23-Sep-2022 |
| 9 | | Ganhör, Christian ; Penz, David ; Rekabsaz, Navid ; Lesota, Oleg ; Schedl, Markus | Unlearning Protected User Attributes in Recommendations with Adversarial Training | Inproceedings Konferenzbeitrag ![peer reviewed](/image/PeerReview_Icon.png) | Jul-2022 |
| 10 | | Melchiorre, Alessandro Benedetto ; Penz, David ; Ganhör, Christian ; Lesota, Oleg ; Fragoso, Vasco ; Friztl, Florian ; Parada-Cabaleiro, Emilia ; Schubert, Franz ; Schedl, Markus | EmoMTB: Emotion-aware Music Tower Blocks | Inproceedings Konferenzbeitrag ![peer reviewed](/image/PeerReview_Icon.png) | Jun-2022 |
| 11 | | Jogl, Fabian ; Thiessen, Maximilian ; Gärtner, Thomas | Reducing Learning on Cell Complexes to Graphs | Inproceedings Konferenzbeitrag ![Volltext verfügbar](/image/Volltext_Icon.png) | 29-Apr-2022 |
| 12 | ![Schmidt-2022-Dojo A Benchmark for Large Scale Multi-Task Reinforcement Le...-vor.pdf.jpg](/retrieve/278880/Schmidt-2022-Dojo%20A%20Benchmark%20for%20Large%20Scale%20Multi-Task%20Reinforcement%20Le...-vor.pdf.jpg) | Schmidt, Dominik | Dojo: A Benchmark for Large Scale Multi-Task Reinforcement Learning | Inproceedings Konferenzbeitrag ![Volltext verfügbar](/image/Volltext_Icon.png) | 24-Apr-2022 |
| 13 | | Haywood, Alexe L. ; Redshaw, Joseph ; Hanson-Heine, Magnus W. D. ; Taylor, Adam ; Brown, Alex ; Mason, Andrew M. ; Gärtner, Thomas ; Hirst, Jonathan D. | Kernel Methods for Predicting Yields of Chemical Reactions | Artikel Article ![peer reviewed](/image/PeerReview_Icon.png) | 2022 |
| 14 | | Schedl, Markus ; Brandl, Stefan ; Lesota, Oleg ; Parada-Cabaleiro, Emilia ; Penz, David ; Rekabsaz, Navid | LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis | Konferenzbeitrag Inproceedings ![peer reviewed](/image/PeerReview_Icon.png) | 2022 |
| 15 | | Indri, Patrick ; Bartoli, Alberto ; Medvet, Eric ; Nenzi, Laura | One-Shot Learning of Ensembles of Temporal Logic Formulas for Anomaly Detection in Cyber-Physical Systems | Konferenzbeitrag Inproceedings ![peer reviewed](/image/PeerReview_Icon.png) | 2022 |
| 16 | | Thiessen, Maximilian ; Gärtner, Thomas | Online learning of convex sets on graphs | Inproceedings Konferenzbeitrag ![peer reviewed](/image/PeerReview_Icon.png) | 2022 |
| 17 | ![Schmidt-2021-Fast and Data-Efficient Training of Rainbow an Experimental ...-vor.pdf.jpg](/retrieve/275021/Schmidt-2021-Fast%20and%20Data-Efficient%20Training%20of%20Rainbow%20an%20Experimental%20...-vor.pdf.jpg) | Schmidt, Dominik ; Schmied, Thomas | Fast and Data-Efficient Training of Rainbow: an Experimental Study on Atari | Presentation Vortrag ![Volltext verfügbar](/image/Volltext_Icon.png) | 13-Dec-2021 |
| 18 | ![Thiessen-2021-Active Learning Convex Halfspaces on Graphs-am.pdf.jpg](/retrieve/275007/Thiessen-2021-Active%20Learning%20Convex%20Halfspaces%20on%20Graphs-am.pdf.jpg) | Thiessen, Maximilian ; Gärtner, Thomas | Active Learning Convex Halfspaces on Graphs | Inproceedings Konferenzbeitrag ![Volltext verfügbar](/image/Volltext_Icon.png) | 24-Jul-2021 |
| 19 | ![Thiessen-2021-Active Learning of Convex Halfspaces on Graphs-am.pdf.jpg](/retrieve/82274/Thiessen-2021-Active%20Learning%20of%20Convex%20Halfspaces%20on%20Graphs-am.pdf.jpg) | Thiessen, Maximilian ; Gärtner, Thomas | Active Learning of Convex Halfspaces on Graphs | Inproceedings Konferenzbeitrag ![Volltext verfügbar](/image/Volltext_Icon.png) | 2021 |
| 20 | | Krauck, Alexander ; Penz, David ; Schedl, Markus | Team JKU-AIWarriors in the ACM Recommender Systems Challenge 2021: Lightweight XGBoost Recommendation Approach Leveraging User Features | Konferenzbeitrag Inproceedings ![peer reviewed](/image/PeerReview_Icon.png) | 2021 |