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LSTM-based Inverse Dynamics Learning for Franka Emika Robot2024 International Conference on Control, Automation and Diagnosis (ICCAD) conference-paper Computer Science Reinforcement Learning in Robotics
Jan-Niklas Schneider, Leon Gorißen, Thomas Käster, Philipp Walderich, Christian Hinke
1citations -
Deep learning for automated segmentation of central cartilage tumors on MRI2025 European Radiology Experimental article Computer Science Medical Image Segmentation Techniques Open access
Salvatore Gitto, Anna Corti, Kirsten van Langevelde, Ana Navas Cañete, Antonino Cincotta, Carmelo Messina, +5 more
4citations -
Towards Time-Series Feature Engineering in Automated Machine Learning for Multi-Step-Ahead Forecasting2022 International Conference on Time Series and Forecasting (ITISE) conference-paper Computer Science Time Series Analysis and Forecasting Open access
Can Wang, Mitra Baratchi, Thomas Bäck, Holger H. Hoos, Steffen Limmer, Markus Olhofer
31citations -
Task Knowledge Injection via Interpolations and Reinstatement for Large Language Model Generalization2025 Findings of the Association for Computational Linguistics: ACL (Findings of ACL) conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access
Yukun Zhao, Lingyong Yan, Shuaiqiang Wang, Zhumin Chen, Zhaochun Ren, Dawei Yin
0citations -
Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum2024 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Topic Modeling Open access
Shen Gao, Zhengliang Shi, Minghang Zhu, Xin Xin, Pengjie Ren, Zhumin Chen, +1 more
16citations -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets (Ultra Large Dataset)2023 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Computational Drug Discovery Methods Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, +20 more
0citations -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets2023 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Computational Drug Discovery Methods Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, +20 more
0citations -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets (Ultra Large Dataset)2023 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Computational Drug Discovery Methods Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, +20 more
0citations -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets2023 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Computational Drug Discovery Methods Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, +19 more
0citations -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets2023 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Computational Drug Discovery Methods Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, +20 more
0citations -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets2023 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Computational Drug Discovery Methods Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, +20 more
0citations -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets2023 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Computational Drug Discovery Methods Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, +20 more
0citations -
Reinforcement Learning Based Pushing and Grasping Objects from Ungraspable Poses2023 Proceedings - IEEE International Conference on Robotics and Automation/Proceedings conference-paper Computer Science Reinforcement Learning in Robotics
Hongzhuo Liang, Cong Lin, Jianzhi Lyu, Pingfa Feng, Jianwei Zhang
25citations -
Annotator-Centric Active Learning for Subjective NLP Tasks2024 Conference on Empirical Methods in Natural Language Processing (EMNLP) conference-paper Computer Science Machine Learning and Algorithms Open access
Michiel van der Meer, Neele Falk, Pradeep Kumar Murukannaiah, Enrico Liscio
5citations -
Encouraging Student’s Soft-Skill by Web-Based EColloquium Learning Approach to Enhance Advance Feedbacks2021 International Journal of Emerging Technologies in Learning (iJET) article Computer Science Educational Technology and E-Learning Open access
Idris Idris, Khofifatu Rohmah Adi, Bayu Kurniawan, Syahril Siddik
6citations