69 Publikationen
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2024 | Zeitschriftenaufsatz | PUB-ID: 2987814Dissecting Whiteness: consistencies and differences in the stereotypes of lower- and upper-class White US AmericansPUB | DOI | WoS
Morgenroth, Thekla, Dissecting Whiteness: consistencies and differences in the stereotypes of lower- and upper-class White US Americans. Self and Identity 0 (0). , 2024 -
2023 | Preprint | Veröffentlicht | PUB-ID: 2980970Fairness in KI-SystemenPUB | Download (ext.) | arXiv
Strotherm, Janine, Fairness in KI-Systemen. (). , 2023 -
2022 | Konferenzbeitrag | PUB-ID: 2979001Sparse Factor Autoencoders for Item Response TheoryPUB | DOI | Download (ext.)
Paaßen, Benjamin, Sparse Factor Autoencoders for Item Response Theory. Proceedings of the 15th International Conference on Educational Data Mining (EDM 2022) (). , 2022 -
2022 | Zeitschriftenaufsatz | PUB-ID: 2978970Recursive Tree Grammar AutoencodersPUB | PDF | DOI | Download (ext.)
Paaßen, Benjamin, Recursive Tree Grammar Autoencoders. Machine Learning 111 (). , 2022 -
2022 | Zeitschriftenaufsatz | PUB-ID: 2979004A conceptual graph-based model of creativity in learningPUB | PDF | DOI | Download (ext.)
Paaßen, Benjamin, A conceptual graph-based model of creativity in learning. Frontiers in Education 7 (). , 2022 -
2022 | Konferenzbeitrag | PUB-ID: 2979003Few-shot Keypose Detection for Learning of Psychomotor SkillsPUB | Download (ext.)
Paaßen, Benjamin, Few-shot Keypose Detection for Learning of Psychomotor Skills. Proceedings of the Second International Workshop on Multimodal Immersive Learning Systems ({MILeS} 2022) (). , 2022 -
2022 | Konferenzbeitrag | PUB-ID: 2979002Interpretable Knowledge Gain Prediction for Vocational Preparatory E-LearningsPUB | DOI | Download (ext.)
Paaßen, Benjamin, Interpretable Knowledge Gain Prediction for Vocational Preparatory E-Learnings. Proceedings of the 23rd International Conference on Artificial Intelligence in Education (AIED 2022) Practitioner’s Track (). , 2022 -
2022 | Konferenzbeitrag | PUB-ID: 2979000Faster Confidence Intervals for Item Response Theory via an Approximate LikelihoodPUB | DOI | Download (ext.)
Paaßen, Benjamin, Faster Confidence Intervals for Item Response Theory via an Approximate Likelihood. Proceedings of the 15th International Conference on Educational Data Mining (EDM 2022) (). , 2022 -
2022 | Konferenzbeitrag | PUB-ID: 2978999Combining domain modelling and student modelling techniques in a single pipeline to support task-sequencingPUB | DOI | Download (ext.)
Picones, Gio, Combining domain modelling and student modelling techniques in a single pipeline to support task-sequencing. Proceedings of the 15th International Conference on Educational Data Mining (EDM 2022) (). , 2022 -
2022 | Zeitschriftenaufsatz | PUB-ID: 2978998Reservoir Memory Machines as Neural ComputersPUB | DOI | Download (ext.) | arXiv
Paaßen, Benjamin, Reservoir Memory Machines as Neural Computers. IEEE Transactions on Neural Networks and Learning Systems 33 (6). , 2022 -
2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978969Mapping Python Programs to Vectors using Recursive Neural EncodingsPUB | DOI | Download (ext.)
Paaßen, Benjamin, Mapping Python Programs to Vectors using Recursive Neural Encodings. Journal of Educational Datamining 13 (3). , 2021 -
2021 | Zeitschriftenaufsatz | PUB-ID: 2978997Automatic Creativity Measurement in Scratch Programs Across ModalitiesPUB | DOI | Download (ext.) | arXiv
Kovalkov, Anastasia, Automatic Creativity Measurement in Scratch Programs Across Modalities. IEEE Transactions on Learning Technologies 14 (6). , 2021 -
2021 | Konferenzbeitrag | PUB-ID: 2978996Deep learning for graphsPUB | Download (ext.)
Bacciu, Davide, Deep learning for graphs. {Proceedings of the 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2021)} (). , 2021 -
2021 | Konferenzbeitrag | PUB-ID: 2978995Teaching psychomotor skills using machine learning for error detectionPUB | Download (ext.)
Paaßen, Benjamin, Teaching psychomotor skills using machine learning for error detection. Proceedings of the 1st International Workshop on Multimodal Immersive Learning Systems ({MILeS} 2021) (). , 2021 -
2021 | Konferenzbeitrag | PUB-ID: 2978967An A*-algorithm for the Unordered Tree Edit Distance with Custom CostsPUB | DOI | Download (ext.) | arXiv
Paaßen, Benjamin, An A*-algorithm for the Unordered Tree Edit Distance with Custom Costs. Proceedings of the 14th International Conference on Similarity Search and Applications (SISAP 2021) (). , 2021 -
2021 | Konferenzbeitrag | PUB-ID: 2978966Modeling Creativity in Visual Programming: From Theory to PracticePUB | Download (ext.)
Kovalkov, Anastasia, Modeling Creativity in Visual Programming: From Theory to Practice. Proceedings of the 15th {International Conference on Educational Data Mining} ({EDM} 2021) (). , 2021 -
2021 | Konferenzbeitrag | PUB-ID: 2978965Analyzing Student Success and Mistakes in Virtual Microscope Structure Search TasksPUB | Download (ext.)
Paaßen, Benjamin, Analyzing Student Success and Mistakes in Virtual Microscope Structure Search Tasks. Proceedings of the 15th {International Conference on Educational Data Mining} ({EDM} 2021) (). , 2021 -
2021 | Konferenzbeitrag | PUB-ID: 2978964Progress Networks as a Tool for Analysing Student Programming DifficultiesPUB | DOI
McBroom, Jessica, Progress Networks as a Tool for Analysing Student Programming Difficulties. Proceedings of the Twenty-Third Australasian Computing Education Conference (ACE '21) (). , 2021 -
2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2954542Reservoir Stack MachinesPUB | DOI | Download (ext.) | WoS | arXiv
Paaßen, Benjamin, Reservoir Stack Machines. Neurocomputing 470 (). , 2021 -
2020 | Konferenzbeitrag | PUB-ID: 2978963Tree Echo State Autoencoders with GrammarsPUB | DOI | Download (ext.) | arXiv
Paaßen, Benjamin, Tree Echo State Autoencoders with Grammars. Proceedings of the 2020 International Joint Conference on Neural Networks ({IJCNN} 2020) (). , 2020 -
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941931Reservoir memory machinesPUB | Download (ext.) | arXiv
Paaßen, Benjamin, Reservoir memory machines. Proceedings of the 28th European Symposium on Artificial Neural Networks (ESANN 2020) (). Bruges, 2020 -
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2944191The Gendered Nature and Malleability of Gamer StereotypesPUB | DOI | WoS | PubMed | Europe PMC
Morgenroth, Thekla, The Gendered Nature and Malleability of Gamer Stereotypes. Cyberpsychology, Behavior, and Social Networking 23 (8). , 2020 -
2019 | Monographie | PUB-ID: 2935200Lecture Notes on Applied OptimizationPUB | Dateien verfügbar
Paaßen, Benjamin, Lecture Notes on Applied Optimization. (). Faculty of Technology, Bielefeld University, 2019 -
2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2934458Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer LearningPUB | PDF | DOI | WoS | PubMed | Europe PMC
Prahm, Cosima, Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer Learning. IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (5). , 2019 -
2019 | Datenpublikation | PUB-ID: 2941052Python Programming DatasetPUB | Dateien verfügbar | DOI
Paaßen, Benjamin, Python Programming Dataset. (). , 2019 -
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2937053Adversarial Edit Attacks for Tree DataPUB | DOI | Download (ext.) | arXiv
Paaßen, Benjamin, Adversarial Edit Attacks for Tree Data. Proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2019) 11871 (). Cham, 2019 -
2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2935953A Comparison of the Quality of Data-Driven Programming Hint Generation AlgorithmsPUB | DOI | WoS
Price, Thomas W., A Comparison of the Quality of Data-Driven Programming Hint Generation Algorithms. International Journal of Artificial Intelligence in Education 29 (3). , 2019 -
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2933502Dynamic fairness - Breaking vicious cycles in automatic decision makingPUB | Download (ext.) | arXiv
Paaßen, Benjamin, Dynamic fairness - Breaking vicious cycles in automatic decision making. Proceedings of the 27th European Symposium on Artificial Neural Networks (ESANN 2019) (). Louvain-la-Neuve, 2019 -
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2934571Embeddings and Representation Learning for Structured DataPUB | Download (ext.) | arXiv
Paaßen, Benjamin, Embeddings and Representation Learning for Structured Data. Proceedings of the 27th European Symposium on Artificial Neural Networks (ESANN 2019) (). , 2019 -
2019 | Bielefelder E-Dissertation | PUB-ID: 2935545Metric Learning for Structured DataPUB | PDF | DOI
Paaßen, Benjamin, Metric Learning for Structured Data. (). Bielefeld, 2019 -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2911900Time Series Prediction for Graphs in Kernel and Dissimilarity SpacesPUB | DOI | Download (ext.) | WoS | arXiv
Paaßen, Benjamin, Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces. Neural Processing Letters 48 (2). , 2018 -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914505Expectation maximization transfer learning and its application for bionic hand prosthesesPUB | DOI | Download (ext.) | WoS | arXiv
Paaßen, Benjamin, Expectation maximization transfer learning and its application for bionic hand prostheses. Neurocomputing 298 (). , 2018 -
2018 | Datenpublikation | PUB-ID: 2916863VBB Shortest Path Data 2018PUB | Dateien verfügbar | DOI
Paaßen, Benjamin, VBB Shortest Path Data 2018. (). , 2018 -
2018 | Datenpublikation | PUB-ID: 2919994Tree Edit Distance Learning via Adaptive Symbol EmbeddingsPUB | Dateien verfügbar | DOI
Paaßen, Benjamin, Tree Edit Distance Learning via Adaptive Symbol Embeddings. (). , 2018 -
2018 | Datenpublikation | PUB-ID: 2916990Median Generalized Learning Vector Quantization for Distance DataPUB | Dateien verfügbar | DOI
Paaßen, Benjamin, Median Generalized Learning Vector Quantization for Distance Data. (). , 2018 -
2018 | Datenpublikation | PUB-ID: 2916980Relational Neural GasPUB | Dateien verfügbar | DOI
Paaßen, Benjamin, Relational Neural Gas. (). , 2018 -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2913389The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance SpacesPUB | Download (ext.) | arXiv
Paaßen, Benjamin, The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces. Journal of Educational Data Mining 10 (1). , 2018 -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2919844Tree Edit Distance Learning via Adaptive Symbol EmbeddingsPUB | Download (ext.) | arXiv
Paaßen, Benjamin, Tree Edit Distance Learning via Adaptive Symbol Embeddings. Proceedings of the 35th International Conference on Machine Learning (ICML 2018) 80 (). , 2018 -
2018 | Konferenzbeitrag | PUB-ID: 2916318Linear Supervised Transfer Learning for the Large Margin Nearest Neighbor ClassifierPUB | DOI
Berger, Kolja, Linear Supervised Transfer Learning for the Large Margin Nearest Neighbor Classifier. (). , 2018 -
2018 | Preprint | Entwurf | PUB-ID: 2919918Revisiting the tree edit distance and its backtracing: A tutorialPUB | Download (ext.) | arXiv
Paaßen, Benjamin, Revisiting the tree edit distance and its backtracing: A tutorial. arXiv:1805.06869 (). , 2018 -
2017 | Datenpublikation | PUB-ID: 2913104Time Series Prediction for Relational and Kernel DataPUB | Dateien verfügbar | DOI
Paaßen, Benjamin, Time Series Prediction for Relational and Kernel Data. (). , 2017 -
2017 | Datenpublikation | PUB-ID: 2912671Linear Supervised Transfer Learning ToolboxPUB | Dateien verfügbar | DOI
Paaßen, Benjamin, Linear Supervised Transfer Learning Toolbox. (). , 2017 -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909369An EM transfer learning algorithm with applications in bionic hand prosthesesPUB | PDF
Paaßen, Benjamin, An EM transfer learning algorithm with applications in bionic hand prostheses. Proceedings of the 25th European Symposium on Artificial Neural Networks (ESANN 2017) (). Bruges, 2017 -
2017 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2914663Two or three things we do (not) know about distancesPUB | PDF | Download (ext.)
Paaßen, Benjamin, Two or three things we do (not) know about distances. Proceedings of the Ninth Mittweida Workshop on Computational Intelligence (MiWoCI 2017) (). , 2017 -
2017 | Datenpublikation | PUB-ID: 2913083BinaryAdder UML DatasetPUB | Dateien verfügbar | DOI
Paaßen, Benjamin, BinaryAdder UML Dataset. (). , 2017 -
2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2905302What is a True Gamer? The Male Gamer Stereotype and the Marginalization of Women in Video Game CulturePUB | PDF | DOI | WoS
Paaßen, Benjamin, What is a True Gamer? The Male Gamer Stereotype and the Marginalization of Women in Video Game Culture. Sex Roles 76 (7-8). , 2017 -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909037Echo State Networks as Novel Approach for Low-Cost Myoelectric ControlPUB | Dateien verfügbar | DOI
Prahm, Cosima, Echo State Networks as Novel Approach for Low-Cost Myoelectric Control. Proceedings of the 16th Conference on Artificial Intelligence in Medicine (AIME 2017) 10259 (). , 2017 -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909367Local Reject Option for Deterministic Multi-class SVMPUB | DOI
Kummert, Johannes, Local Reject Option for Deterministic Multi-class SVM. Artificial Neural Networks and Machine Learning - ICANN 2016 - 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II 9887 (). Cham, 2016 -
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2783224Adaptive structure metrics for automated feedback provision in intelligent tutoring systemsPUB | PDF | DOI | WoS
Paaßen, Benjamin, Adaptive structure metrics for automated feedback provision in intelligent tutoring systems. Neurocomputing 192 (SI). , 2016 -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900676Gaussian process prediction for time series of structured dataPUB | PDF
Paaßen, Benjamin, Gaussian process prediction for time series of structured data. Proceedings of the ESANN, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (). Louvain-la-Neuve, 2016 -
2016 | Datenpublikation | PUB-ID: 2900684Java Sorting ProgramsPUB | Dateien verfügbar | DOI
Paaßen, Benjamin, Java Sorting Programs. (). , 2016 -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904509Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for ProgrammingPUB | Download (ext.)
Paaßen, Benjamin, Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for Programming. Proceedings of the 9th International Conference on Educational Data Mining (). Raleigh, North Carolina, USA, 2016 -
2016 | Datenpublikation | PUB-ID: 2900666MiniPalindromePUB | Dateien verfügbar | DOI
Paaßen, Benjamin, MiniPalindrome. (). , 2016 -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905729Convergence of Multi-pass Large Margin Nearest Neighbor Metric LearningPUB | PDF | DOI
Göpfert, Christina, Convergence of Multi-pass Large Margin Nearest Neighbor Metric Learning. Artificial Neural Networks and Machine Learning – ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II 9887 (). Cham, 2016 -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905855Linear Supervised Transfer Learning for Generalized Matrix LVQPUB | Download (ext.)
Paaßen, Benjamin, Linear Supervised Transfer Learning for Generalized Matrix LVQ. Proceedings of the Workshop New Challenges in Neural Computation 2016 (4). , 2016 -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904178Transfer Learning for Rapid Re-calibration of a Myoelectric Prosthesis after Electrode ShiftPUB | PDF | DOI | Download (ext.)
Prahm, Cosima, Transfer Learning for Rapid Re-calibration of a Myoelectric Prosthesis after Electrode Shift. Converging Clinical and Engineering Research on Neurorehabilitation II: Proceedings of the 3rd International Conference on NeuroRehabilitation (ICNR2016) (). , 2016 -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2710031Metric learning for sequences in relational LVQPUB | PDF | DOI | Download (ext.) | WoS
Mokbel, Bassam, Metric learning for sequences in relational LVQ. Neurocomputing 169 (SI). , 2015 -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2724156Adaptive structure metrics for automated feedback provision in Java programmingPUB | PDF
Paaßen, Benjamin, Adaptive structure metrics for automated feedback provision in Java programming. Proceedings of the ESANN, 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (). , 2015 -
2015 | Report | PUB-ID: 2712107SCIE: Information Extraction for Spinal Cord Injury Preclinical Experiments – A Webservice and Open Source ToolkitPUB | PDF | DOI | Download (ext.)
Stöckel, Andreas, SCIE: Information Extraction for Spinal Cord Injury Preclinical Experiments – A Webservice and Open Source Toolkit. (). bioRxive.org, 2015 -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2762087A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring SystemsPUB | Download (ext.)
Paaßen, Benjamin, A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring Systems. Proceedings of the 8th International Conference on Educational Data Mining (). , 2015 -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2752955Autonomous Learning of RepresentationsPUB | PDF | DOI | Download (ext.) | WoS
Walter, Oliver, Autonomous Learning of Representations. KI - Künstliche Intelligenz 29 (4). , 2015 -
2015 | Bielefelder Masterarbeit | PUB-ID: 2736686Adaptive Affine Sequence Alignment Using Algebraic Dynamic ProgrammingPUB | PDF
Paaßen, Benjamin, Adaptive Affine Sequence Alignment Using Algebraic Dynamic Programming. (). Bielefeld, 2015 -
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2678214Learning interpretable kernelized prototype-based modelsPUB | DOI | Download (ext.) | WoS
Hofmann, Daniela, Learning interpretable kernelized prototype-based models. Neurocomputing 141 (). , 2014 -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673554Adaptive distance measures for sequential dataPUB | PDF
Mokbel, Bassam, Adaptive distance measures for sequential data. ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (). Bruges, Belgium, 2014 -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2683760Ontology-based Extraction of Structured Information from Publications on Preclinical Experiments for Spinal Cord Injury TreatmentsPUB | PDF | Download (ext.)
Paaßen, Benjamin, Ontology-based Extraction of Structured Information from Publications on Preclinical Experiments for Spinal Cord Injury Treatments. Third Workshop on Semantic Web and Information Extraction (SWAIE). The 25th International Conference on Computational Linguistics (COLING) (). Dublin, Ireland, 2014 -
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2734058Example-based feedback provision using structured solution spacesPUB | DOI | Download (ext.)
Gross, Sebastian, Example-based feedback provision using structured solution spaces. International Journal of Learning Technology 9 (3). , 2014 -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2710067Efficient Adaptation of Structure Metrics in Prototype-Based ClassificationPUB | PDF | DOI | Download (ext.)
Mokbel, Bassam, Efficient Adaptation of Structure Metrics in Prototype-Based Classification. Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings 8681 (). , 2014 -
2013 | Datenpublikation | PUB-ID: 2692491VBB Midi DatasetPUB | Dateien verfügbar | DOI
Paaßen, Benjamin, VBB Midi Dataset. (). , 2013 -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625185Domain-Independent Proximity Measures in Intelligent Tutoring SystemsPUB | Download (ext.)
Mokbel, Bassam, Domain-Independent Proximity Measures in Intelligent Tutoring Systems. Proceedings of the 6th International Conference on Educational Data Mining (EDM) (). , 2013