Play My Math: Design and Implementation of a Course Creator Tool Within a Mathematical Musician Digital Learning Platform. In Kairit Tammets, Sergey Sosnovsky, Rafael Ferreira Mello, Gerti Pishtari, and Tanya Nazaretsky (Eds.), Two Decades of TEL. From Lessons Learnt to Challenges Ahead, 367--372, Springer Nature Switzerland, Cham, 2026. [PUMA: digital learning music nopdf plattform play_my_math]
Demystifying Reward Design in Reinforcement Learning for Upper Extremity Interaction: Practical Guidelines for Biomechanical Simulations in HCI. In Andrea Bianchi, Elena Glassman, Wendy E. Mackay, Shengdong Zhao, Jeeeun Kim, and Ian Oakley (Eds.), Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology, Association for Computing Machinery, New York, NY, USA, 2025. [PUMA: Biomechanical Design Function Human-Computer Interaction Learning Reinforcement Reward Simulations User myown xack yaff] URL
Demystifying Reward Design in Reinforcement Learning for Upper Extremity Interaction: Practical Guidelines for Biomechanical Simulations in HCI. In Andrea Bianchi, Elena Glassman, Wendy E. Mackay, Shengdong Zhao, Jeeeun Kim, and Ian Oakley (Eds.), Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology, Association for Computing Machinery, New York, NY, USA, 2025. [PUMA: Biomechanical Design Function Human-Computer Interaction Learning Reinforcement Reward Simulations User myown] URL
Graph Metrics-driven Record Cluster Repair meets LLM-based active learning. Journal of Data and Information Quality, (17)2:1–25, Association for Computing Machinery (ACM), June 2025. [PUMA: LLM_based active learning record_cluster xack] URL
What Makes a Model Breathe? Understanding Reinforcement Learning Reward Function Design in Biomechanical User Simulation. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 1–10, ACM, April 2025. [PUMA: Biomechanical Design Function Reinforcement Reward User_Simulation xack learning] URL
Learning Electron Bunch Distribution along a FEL Beamline by Normalising Flows. 2023. [PUMA: Bunch Distribution Electron imported learning zno] URL
Continual learning autoencoder training for a particle-in-cell simulation via streaming. 2022. [PUMA: Continual autoencoder imported learning particle-in-cell simulation training zno] URL
Key Point Analysis via Contrastive Learning and Extractive Argument Summarization. In Khalid Al-Khatib, Yufang Hou, and Manfred Stede (Eds.), 8th Workshop on Argument Mining (ArgMining 2021) at EMNLP, 184--189, Association for Computational Linguistics, November 2021. [PUMA: Analysis Argument Contrastive Extractive Key Point Summarization zno learning]
Unsupervised feature selection based on variance–covariance subspace distance. Neural Networks, (166):188-203, 2023. [PUMA: Feature Regularization Subspace distance learning selection xack] URL
Self-supervised learning in histopathology: New perspectives for prostate cancer grading. Lecture Notes in Computer Science, 348--360, Springer Nature Switzerland, Cham, 2024. [PUMA: cancer grading histopathology learning prostate self-supervised topic_lifescience yaff]
MLcps: machine learning cumulative performance score for classification problems. GigaScience, (12):giad108, December 2023. [PUMA: MLcps cumulative learning machine performance yaff xack] URL
Manifold learning, the scheme of Laplacian eigenmaps. Mathematics of Data, 227--251, Springer International Publishing, Cham, 2023. [PUMA: Laplacian Manifold eigenmaps learning nopdf]
GradTree: Learning axis-aligned decision trees with gradient descent. 2023. [PUMA: GradTree axis-aligned decision descent gradient learning trees zno]
WARC-DL: Scalable Web Archive Processing for Deep Learning. 2022. [PUMA: Archive Processing Scalable WARC-DL xack learning deep web] URL
Cost-Sensitive Best Subset Selection for Logistic Regression: A Mixed-Integer Conic Optimization Perspective. KI 2023: Advances in Artificial Intelligence: 46th German Conference on AI, Berlin, Germany, September 26--29, 2023, Proceedings, 114--129, Springer-Verlag, Berlin, Heidelberg, 2023. [PUMA: best conic cost-sensitive interpretable learning machine meta-learning mixed-integer optimization selection subset zno]
A platform-agnostic deep reinforcement learning framework for effective Sim2Real transfer towards autonomous driving. Commun Eng, (3)1:147, Springer Science and Business Media LLC, October 2024. [PUMA: Sim2Real autonomous deep driving framework learning platform-agnostic reinforcement xack]
Named Entity Recognition for Specific Domains - Take Advantage of Transfer Learning. International Journal of Information Science and Technology, Vol 6 No 3 (2022), International Journal of Information Science and Technology, 2022. [PUMA: Advantage Domains Entity Recognition Specific Transfer learning xack] URL
Extendable hybrid approach to detect conscious states in a CLIS patient using machine learning. SNE Simul. Notes Eur., (32)1:37--45, ARGESIM Arbeitsgemeinschaft Simulation News, 2022. [PUMA: conscious hybrid learning machine patient states zno {CLIS}]
Learning algorithms for spiking neural networks: should one use learning algorithms from ANN/DL or neurological plausible learning? - A thought-provoking impulse. XLIII Jornadas de Automática: libro de actas: 7, 8 y 9 de septiembre de 2022, Logroño (La Rioja), 201--207, Servizo de Publicacións da UDC, September 2022. [PUMA: algorithms learning networks neural neurological plausible spiking xack]
Evaluating the DoC-Forest tool for Classifying the State of Consciousness in a Completely Locked-In Syndrome Patient. 2023 7th International Conference on Imaging, Signal Processing and Communications (ICISPC), 37-41, 2023. [PUMA: Complexity Computational Consciousness Information Locked-In Measures Modeling Neuroscience Prediction Predictive Processing Signal Syndrome Theory Training algorithms and data learning modeling models processing zno machine]