@inproceedings{6898,
  abstract     = {The labeling process for supervised learning is costly and time-consuming, and is often impractical to scale due to real-world constraints. Active learning (AL) addresses this challenge by strategically selecting representative and informative data points to reduce labeling efforts. This paper focuses on an AL scenario in which only a very limited number of labels can be acquired. We propose an algorithm operating in two phases: (1) an exploration phase that prioritizes representative and diverse data points using density-driven criteria, and (2) an exploitation phase that combines predictive uncertainty with density weighting to select informative samples from densely populated regions. This enhances both representativeness and informativeness. Our results demonstrate significant improvements in model quality compared to other algorithms typically employed for this scenario, across various scenarios involving imbalanced data in classification tasks and skewness in regression tasks. Through this work, we aim to provide a new algorithm for this scenario and investigate general principles for AL. While most AL studies focus on either classification or regression, our work applies the algorithms to both. Therefore, we can analyze the differences between classification and regression problems and their effects on AL strategies. Furthermore, we explore different categories of AL criteria and their effectiveness in the low-budget regime. These results also provide insight into the cold-start problem, which involves selecting an initial labeled set and is faced by many model-based AL methods.},
  author       = {Jaster, Bjarne and Tharwat, Alaa and Sheikh, Eiram Mahera and Kohlhase, Martin and Schenck, Wolfram},
  booktitle    = {Machine Learning and Principles and Practice of Knowledge Discovery in Databases. International Workshops of ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Revised Selected Papers, Part IV},
  editor       = {Koprinska, Irena and Mendes-Moreira, João and Branco, Paula},
  isbn         = {978-3-032-19104-5},
  issn         = {1865-0937},
  location     = {Porto, Portugal},
  pages        = {5--21},
  publisher    = {Springer Nature Switzerland},
  title        = {{Low Query Budget Active Learning for Classification and Regression}},
  doi          = {10.1007/978-3-032-19105-2_1},
  year         = {2026},
}

@article{6655,
  author       = {Tharwat, Alaa and Jaster, Bjarne and Schenck, Wolfram and Kohlhase, Martin},
  issn         = {09521976},
  journal      = {Engineering Applications of Artificial Intelligence},
  publisher    = {Elsevier BV},
  title        = {{Active learning evaluation metrics for classification and regression frameworks}},
  doi          = {10.1016/j.engappai.2026.114295},
  volume       = {171},
  year         = {2026},
}

@article{6244,
  author       = {Niederhaus, Marvin and Migenda, Nico and Weller, Julian and Kohlhase, Martin and Schenck, Wolfram},
  issn         = {2504-2289},
  journal      = {Big Data and Cognitive Computing},
  keywords     = {prescriptive analytics, prescriptive platforms, advanced data analytics, retrieval-augmented generation, graph-based retrieval-augmented generation, large language models, generative AI, genAI, recommender system},
  number       = {10},
  publisher    = {MDPI AG},
  title        = {{Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems}},
  doi          = {10.3390/bdcc9100261},
  volume       = {9},
  year         = {2025},
}

@article{6315,
  author       = {Suleimenov, Kanat and Kapsalyamov, Akim and Abdikenov, Beibit and Ozhikenova, Aiman and Igembay, Yerbolat and Ozhikenov, Kassymbek},
  issn         = {2227-7390},
  journal      = {Mathematics},
  number       = {22},
  publisher    = {MDPI AG},
  title        = {{Comparative Analysis of Model-Based and Data-Driven Control for Tendon-Driven Robotic Fingers}},
  doi          = {10.3390/math13223669},
  volume       = {13},
  year         = {2025},
}

@unpublished{6316,
  author       = {Chegedekova, Ingkar and Kapsalyamov, Akim and Jamwal, Prashant Kumar and Kystaubayeva, Zaidagul and Parthimos, Dimitris and Jasani, Bharat},
  publisher    = {MDPI AG},
  title        = {{AI-Based Computational Pathology for Precision Lung Cancer Management: A Systematic Review and Meta-Analysis of Diagnostics and Prognostic Algorithms}},
  year         = {2025},
}

@article{6317,
  author       = {Abdikenov, Beibit and Zholtayev, Darkhan and Suleimenov, Kanat and Assan, Nazgul and Ozhikenov, Kassymbek and Ozhikenova, Aiman and Nadirov, Nurbek and Kapsalyamov, Akim},
  issn         = {1424-8220},
  journal      = {Sensors},
  number       = {13},
  publisher    = {MDPI AG},
  title        = {{Emerging Frontiers in Robotic Upper-Limb Prostheses: Mechanisms, Materials, Tactile Sensors and Machine Learning-Based EMG Control: A Comprehensive Review}},
  doi          = {10.3390/s25133892},
  volume       = {25},
  year         = {2025},
}

@article{6318,
  author       = {Kapsalyamov, Akim and Brown, Nicholas A. T. and Goecke, Roland and Jamwal, Prashant K. and Hussain, Shahid},
  issn         = {1433-3058},
  journal      = {Neural Computing and Applications},
  number       = {7},
  pages        = {5671--5682},
  publisher    = {Springer Science and Business Media LLC},
  title        = {{Velocity control of a Stephenson III six-bar linkage-based gait rehabilitation robot using deep reinforcement learning}},
  doi          = {10.1007/s00521-024-10944-2},
  volume       = {37},
  year         = {2025},
}

@article{6319,
  author       = {Khawaja, Amna Riaz and Jamwal, Prashant K. and Karibzhanova, Dilnoza and Kapsalyamov, Akim and Agrawal, Sunil},
  issn         = {2631-7176},
  journal      = {Wearable Technologies},
  publisher    = {Cambridge University Press (CUP)},
  title        = {{Advancing Gait Rehabilitation: A Systematic Review of Robotic Exoskeletons for Cerebral Palsy}},
  doi          = {10.1017/wtc.2025.10027},
  volume       = {6},
  year         = {2025},
}

@article{6346,
  author       = {Manavar, Neevkumar Hareshbhai and Meyer, Hanno Gerd and Waßmuth, Joachim and Hammer, Barbara and Schneider, Axel},
  issn         = {2673-3129},
  journal      = {Frontiers in Medical Technology},
  publisher    = {Frontiers Media SA},
  title        = {{ATTNFNET: feature aware depth-to-pressure translation with cGAN training}},
  doi          = {10.3389/fmedt.2025.1621922},
  volume       = {7},
  year         = {2025},
}

@article{6347,
  author       = {Karibzhanova, Dilnoza and Jamwal, Prashant K. and Khawaja, Amna Riaz and Kystaubayeva, Zaidagul and Kapsalyamov, Akim and Shakenov, Meiram and Agrawal, Sunil},
  issn         = {2631-7176},
  journal      = {Wearable Technologies},
  publisher    = {Cambridge University Press (CUP)},
  title        = {{Clinical and instrument-based assessment of balance, gait, and motor functions in pediatric cerebral palsy: A systematic review}},
  doi          = {10.1017/wtc.2025.10011},
  volume       = {6},
  year         = {2025},
}

@inproceedings{6355,
  author       = {Attaullah, Hasina and Peters, Christian and Peters, Annika and Jungeblut, Thorsten},
  keywords     = {Depression Detection, Smart Home, Dementia Detection, Smart Home Sensors},
  location     = {Bielefeld},
  pages        = {38--39},
  title        = {{AI Meets Elderly Care: Mining Smart Home Data for Dementia and Depression Detection}},
  doi          = {10.60802/SIDAS.2025.2},
  volume       = {2},
  year         = {2025},
}

@inproceedings{6365,
  author       = {Köse, Mohammad Ibrahim and Ahmed, Qazi Arbab and Jungeblut, Thorsten},
  booktitle    = {The 5th Muslims in Machine Learning (MusIML) Workshop co-located with NeurIPS 2025},
  location     = {San Diego, CA, USA.},
  title        = {{Bridging the Gap Between AI Quantization and Edge Deployment: INT4 and INT8 on the Edge}},
  year         = {2025},
}

@inproceedings{6302,
  author       = {Wermuth, Stella and Jungeblut, Thorsten},
  booktitle    = {KI2025@HSBI Zukunft im Fokus},
  number       = {2},
  pages        = {28--29},
  title        = {{Bridging the Dataset Gap: Domain Adaptation for Fisheye Passenger Detection}},
  doi          = {10.60802/SIDAS.2025.2},
  year         = {2025},
}

@inproceedings{6175,
  author       = {Halbrügge, Marc and Jungeblut, Thorsten},
  booktitle    = {KogWis 2025. 16th Biannual Conference of the German Cognitive Science Society.},
  keywords     = {Explainable AI, XAI, LIME},
  location     = {Bochum},
  title        = {{Beyond Heatmaps: Evaluating LIME Visualizations for Human Understandability}},
  year         = {2025},
}

@inproceedings{6202,
  author       = {Halbrügge, Marc and Jungeblut, Thorsten},
  booktitle    = {KI@HSBI 2025 - Zukunft im Fokus},
  location     = {Bielefeld},
  number       = {2},
  pages        = {13--14},
  title        = {{Statistical Learning of Daily Routines in the Smart Home for Privacy-Preserving Assisted Living}},
  doi          = {10.60802/sidas.2025.2},
  year         = {2025},
}

@inproceedings{6203,
  author       = {Kaan, Altun and Eris, Benjamin and Halbrügge, Marc and Jungeblut, Thorsten and Naumann, Rolf and Ottemeyer, Mats and Öztürk, Riza and Pascanovic, Armin},
  location     = {Bielefeld},
  number       = {2},
  pages        = {2--3},
  title        = {{AQ-Shuttle: Eine Studie über autonome Quartiers-Shuttle mit Mobilstation in Bielefeld}},
  doi          = {10.60802/sidas.2025.2},
  year         = {2025},
}

@inproceedings{6204,
  author       = {Attaullah, Hasina and Halbrügge, Marc and Naumann, Rolf and Jungeblut, Thorsten},
  issn         = {2943-3509},
  location     = {Bielefeld},
  number       = {2},
  pages        = {4--5},
  title        = {{Digitaler Bahnhof Minden: Künstliche Intelligenz für den Bahnhof der Zukunft}},
  doi          = {10.60802/sidas.2025.2},
  year         = {2025},
}

@inproceedings{6205,
  author       = {Kwossek, Jana and Eris, Benjamin and Bollien, Marie and Stegemann, Manuel and Altun, Kaan and Halbrügge, Marc and Jungeblut, Thorsten and Meyer, Sandro and Pascanovic, Armin},
  booktitle    = {HUMANIST Conference 2025},
  title        = {{Autonomous District Shuttles for Last-Mile Delivery: Acceptance, Public Requirements, and Their Role in Urban Development}},
  year         = {2025},
}

@inproceedings{6206,
  author       = {Kwossek, Jana and Eris, Benjamin and Bollien, Marie and Altun, Kaan and Pascanovic, Armin and Halbrügge, Marc and Stegemann, Manuel and Jungeblut, Thorsten},
  booktitle    = {Workshop on Autonomous Delivery and Service Robots on Pedestrian and Cycle Paths},
  title        = {{AQ-Shuttle: Autonomous Robots for Last Mile Delivery}},
  year         = {2025},
}

@article{6240,
  author       = {Jagemann, Inga and Baudisch, Justin and Jungeblut, Thorsten and Maier, Günter W. and Hirschfeld, Gerrit},
  journal      = {PsychArchives},
  publisher    = {PsychArchives},
  title        = {{The More You Know, the Less You Want to Rely on It – Consumer preferences for AI-based health monitoring in smart home systems}},
  doi          = {10.23668/PSYCHARCHIVES.21275},
  year         = {2025},
}