Publications by Andreas Hotho
These publications are hosted by BibSonomy. A searchable overview of my publications can be found here.
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- [ 2024 ]
- [ 2023 ]
- [ 2022 ]
- [ 2021 ]
- [ 2020 ]
- [ 2019 ]
- [ 2018 ]
- [ 2017 ]
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- [ 2015 ]
- [ 2014 ]
- [ 2013 ]
- [ 2012 ]
- [ 2011 ]
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- [ 2005 ]
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- [ 2002 ]
- [ 2001 ]
- [ 2000 ]
2025[ to top ]
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Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction in ACM Trans. Recomm. Syst. (2025).
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Identifying Axiomatic Mathematical Transformation Steps using Tree-Structured Pointer Networks in Transactions on Machine Learning Research (2025).
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ModernGBERT: German-only 1B Encoder Model Trained from Scratch (2025).
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PreAdapter: Pre-training Language Models on Knowledge Graphs G. Demartini, K. Hose, M. Acosta, M. Palmonari, G. Cheng, H. Skaf-Molli, N. Ferranti, D. Hernández, A. Hogan (Eds.) (2025). 210–226.
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Exploring Design Choices for Autoregressive Deep Learning Climate Models (2025).
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Enriching Large Language Models with Knowledge Graphs for Computational Literary Studies in Handbook on Neurosymbolic AI and Knowledge Graphs (2025).
2024[ to top ]
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Effects of AI understanding-training on AI literacy, usage, self-determined interactions, and anthropomorphization with voice assistants in Computers and Education Open (2024). 6(1) 100176.
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BibSonomy Meets ChatLLMs for Publication Management: From Chat to Publication Management: Organizing your related work using BibSonomy \& LLMs in CoRR (2024). abs/2401.09092
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From Chat to Publication Management: Organizing your related work using BibSonomy \& LLMs P. D. Clough, M. Harvey, F. Hopfgartner (Eds.) (2024). 386–390.
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GrINd: Grid Interpolation Network for Scattered Observations in Lecture Notes in Computer Science, A. Bifet, J. Davis, T. Krilavicius, M. Kull, E. Ntoutsi, I. Zliobaite (Eds.) (2024). (Vol. 14947) 177–193.
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ModeConv: A Novel Convolution for Distinguishing Anomalous and Normal Structural Behavior in CoRR (2024). abs/2407.00140
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Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction in CoRR (2024). abs/2408.15953
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Verantwortungsvolle Empfehlungssysteme für die medizinische Diagnostik in Edition Moderne Postmoderne (2024). 101.
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Towards the development of an automated robotic storyteller: comparing approaches for emotional story annotation for non-verbal expression via body language in J. Multimodal User Interfaces (2024). 18(4) 1–23.
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OtterlyObsessedWithSemantics at SemEval-2024 Task 4: Developing a Hierarchical Multi-Label Classification Head for Large Language Models A. K. Ojha, A. S. Dogruöz, H. T. Madabushi, G. D. S. Martino, S. Rosenthal, A. Rosá (Eds.) (2024). 602–612.
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Systematic Evaluation of Synthetic Data Augmentation for Multi-class NetFlow Traffic in CoRR (2024). abs/2408.16034
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Pollice Verso at SemEval-2024 Task 6: The Roman Empire Strikes Back A. K. Ojha, A. S. Dogruöz, H. T. Madabushi, G. D. S. Martino, S. Rosenthal, A. Rosá (Eds.) (2024). 1529–1536.
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LLäMmlein: Compact and Competitive German-Only Language Models from Scratch in CoRR (2024). abs/2411.11171
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KI 2024: Advances in Artificial Intelligence - 47th German Conference on AI, Würzburg, Germany, September 25-27, 2024, Proceedings in Lecture Notes in Computer Science (2024). (Vol. 14992) Springer.
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SuperGLEBer: German Language Understanding Evaluation Benchmark K. Duh, H. Gómez-Adorno, S. Bethard (Eds.) (2024). 7904–7923.
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CompTrails: comparing hypotheses across behavioral networks in Data Mining and Knowledge Discovery (2024).
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IMU Airtime Detection in Snowboard Halfpipe: U-Net Deep Learning Approach Outperforms Traditional Threshold Algorithms in Sensors (2024). 24(21)
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Generative Inpainting for Shapley-Value-Based Anomaly Explanation in Communications in Computer and Information Science, L. Longo, S. Lapuschkin, C. Seifert (Eds.) (2024). (Vol. 2153) 230–243.
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Benchmarking of synthetic network data: Reviewing challenges and approaches in Comput. Secur. (2024). 145 103993.
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Data Generation for Explainable Occupational Fraud Detection in Lecture Notes in Computer Science, A. Hotho, S. Rudolph (Eds.) (2024). (Vol. 14992) 246–259.
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Global Vegetation Modeling with Pre-Trained Weather Transformers in CoRR (2024). abs/2403.18438
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Empower the user - The impact of functional understanding training on usage, social perception, and self-determined interactions with intelligent voice assistants in Comput. Educ. Artif. Intell. (2024). 6 100229.
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GrINd: Grid Interpolation Network for Scattered Observations (2024).
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Adapting Sequential Recommender Models to Content Recommendation in Chat Data using Non-Item Page-Models in CEUR Workshop Proceedings, V. W. Anelli, P. Basile, T. D. Noia, F. M. Donini, A. Ferrara, C. Musto, F. Narducci, A. Ragone, M. Zanker (Eds.) (2024). (Vol. 3817) 66–84.
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Resources for Graph Data and Knowledge in TGDK (2024). 2(2) 1:1–1:2.
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Marina: Realizing ML-Driven Real-Time Network Traffic Monitoring at Terabit Scale in IEEE Transactions on Network and Service Management (2024). 1–1.
2023[ to top ]
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ConvMOS: climate model output statistics with deep learning in Data Mining and Knowledge Discovery (2023). 37(1) 136–166.
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Long-Term Effects of Perceived Friendship with Intelligent Voice Assistants on Usage Behavior, User Experience, and Social Perceptions in Computers (2023). 12(4)
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Can Neural Networks Distinguish High-school Level Mathematical Concepts? (2023).
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Higher-Order DeepTrails: Unified Approach to *Trails in CEUR Workshop Proceedings, M. Leyer, J. Wichmann (Eds.) (2023).
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Enhancing Sequential Next-Item Prediction through Modelling Non-Item Pages (2023).
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TaylorPDENet: Learning PDEs from non-grid Data (2023).
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DynaBench: A Benchmark Dataset for Learning Dynamical Systems from Low-Resolution Data D. Koutra, C. Plant, M. Gomez Rodriguez, E. Baralis, F. Bonchi (Eds.) (2023). 438–455.
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Evaluating feature relevance XAI in network intrusion detection in The World Conference on eXplainable Artificial Intelligence (xAI 2023) - to appear (2023).
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Automatic Speech Detection on a Smart Beehive’s Raspberry Pi (2023).
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Swarming Detection in Smart Beehives Using Auto Encoders for Audio Data (2023). 1–5.
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CapsKG: Enabling Continual Knowledge Integration in Language Models for Automatic Knowledge Graph Completion in International Semantic Web Conference ISWC 2023, to appear (2023).
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Towards a Computational Analysis of Suspense: Detecting Dangerous Situations (2023).
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Optimizing Medical Service Request Processes through Language Modeling and Semantic Search in ICMHI 2023 (2023). 136–141.
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Occupational Fraud Detection through Agent-based Data Generation in The 8th Workshop on MIning DAta for financial applicationS MIDAS 2023 - to appear (2023).
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Feature relevance XAI in anomaly detection: Reviewing approaches and challenges in Frontiers in Artificial Intelligence (2023). 6
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Zero-Shot Clickbait Spoiling by Rephrasing Titles as Questions (2023). 1090–1095.
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Liquor-HGNN: A heterogeneous graph neural network for leakage detection in water distribution networks in LWDA’23: Lernen, Wissen, Daten, Analysen. October 09--11, 2023, Marburg, Germany, (M. Leyer, Ed.) (2023).
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2022[ to top ]
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On Background Bias in Deep Metric Learning in CoRR (2022). abs/2210.01615
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One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien’s Legendarium in CEUR Workshop Proceedings, F. Karsdorp, K. L. Nielbo (Eds.) (2022). (Vol. 3290) 291–317.
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Semi-unsupervised Learning for Time Series Classification in CoRR (2022). abs/2207.03119
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Open ERP System Data For Occupational Fraud Detection in arxiv (2022).
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Anomaly Detection in Beehives: An Algorithm Comparison A. Ahrens, R. V. Prasad, C. Benavente-Peces, N. Ansari (Eds.) (2022). 1–20.
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The Impact of Different System Call Representations on Intrusion Detection in Log. J. IGPL (2022). 30(2) 239–251.
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Comparison of Data Representations and Machine Learning Architectures for User Identification on Arbitrary Motion Sequences in CoRR (2022). abs/2210.00527
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CLIP knows image aesthetics in Frontiers in artificial intelligence (2022). 5 976235.
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On Learning Hierarchical Embeddings from Encrypted Network Traffic (2022). 1–7.
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SenPoi at SemEval-2022 Task 10: Point me to your Opinion, SenPoi G. Emerson, N. Schluter, G. Stanovsky, R. Kumar, A. Palmer, N. Schneider, S. Singh, S. Ratan (Eds.) (2022). 1313–1323.
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Do Different Deep Metric Learning Losses Lead to Similar Learned Features? in CoRR (2022). abs/2205.02698
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WueDevils at SemEval-2022 Task 8: Multilingual News Article Similarity via Pair-Wise Sentence Similarity Matrices (2022). 1235–1243.
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Point me to your Opinion, SenPoi (2022). 1313–1323.
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Semi-unsupervised Learning for Time Series Classification in Milets@KDD (2022).
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LSX team5 at SemEval-2022 Task 8: Multilingual News Article Similarity Assessment based on Word- and Sentence Mover’s Distance (2022). 1190–1195.
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InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images (2022).
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Sequential Item Recommendation in the MOBA Game Dota 2 in CoRR (2022). abs/2201.08724
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NeuralPDE: Modelling Dynamical Systems from Data in Lecture Notes in Computer Science, R. Bergmann, L. Malburg, S. C. Rodermund, I. J. Timm (Eds.) (2022). (Vol. 13404) 75–89.
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Towards Responsible Medical Diagnostics Recommendation Systems in CoRR (2022). abs/2209.03760
2021[ to top ]
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Proximity dimensions and the emergence of collaboration: a HypTrails study on German AI research in Scientometrics (2021).
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Density-based weighting for imbalanced regression in Machine Learning, (A. Appice; S. Escalera; J. A. Gamez; H. Trautmann, Eds.) (2021).
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A financial game with opportunities for fraud (2021). 1–5.
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Anomaly Detection in Beehives: An Algorithm Comparison (2021).
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Detecting Presence Of Speech In Acoustic Data Obtained From Beehives F. Font, A. Mesaros, D. P. W. Ellis, E. Fonseca, M. Fuentes, B. Elizalde (Eds.) (2021). 26–30.
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NeuralPDE: Modelling Dynamical Systems from Data (2021).
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Semi-Supervised Learning for Grain Size Distribution Interpolation (2021). 34–44.
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Malware detection on windows audit logs using LSTMs in Computers & Security (2021). 109 102389.
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A financial game with opportunities for fraud in IEE COG 2021 (2021). 2021
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Semi-unsupervised Learning: An In-depth Parameter Analysis S. Edelkamp, R. Möller, E. Rueckert (Eds.) (2021). 51–66.
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The Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, ISWC 2021, Virtual Event, October 24-28, 2021, Proceedings in Lecture Notes in Computer Science (2021). (Vol. 12922) Springer.
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Detecting Scenes in Fiction: A new Segmentation Task (2021).
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Do Different Deep Metric Learning Losses Lead to Similar Learned Features? in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) (2021). 10644–10654.
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Shared Task on Scene Segmentation @ KONVENS 2021 (2021). 1–21.
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CoBERT: Scientific Collaboration Prediction via Sequential Recommendation (2021). 45–54.
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Sequential Item Recommendation in the MOBA Game Dota 2 (2021). 10–17.
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Learning Mathematical Relations Using Deep Tree Models (2021). 1681–1687.
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A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models (2021).
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Comparison of Transformer-Based Sequential Product Recommendation Models for the Coveo Data Challenge in SIGIR Workshop On eCommerce (2021).
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Self-Supervised Multi-Task Pretraining Improves Image Aesthetic Assessment (2021). 816–825.
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Assessing Media Bias in Cross-Linguistic and Cross-National Populations in Proceedings of the International AAAI Conference on Web and Social Media (2021). 15(1) 561–572.
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Evaluating the multi-task learning approach for land use regression modelling of air pollution in Journal of Physics: Conference Series (2021). 1834(1) 012004.
2020[ to top ]
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OpenLUR: Off-the-shelf air pollution modeling with open features and machine learning in Atmospheric Environment (2020). 233 117535.
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Evaluating the multi-task learning approach for land use regression modelling of air pollution (2020).
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LM4KG: Improving Common Sense Knowledge Graphs with Language Models J. Z. Pan, V. Tamma, C. d’Amato, K. Janowicz, B. Fu, A. Polleres, O. Seneviratne, L. Kagal (Eds.) (2020). 456–473.
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Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I in Lecture Notes in Computer Science (2020). (Vol. 11906) Springer.
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Deep Learning for Climate Model Output Statistics in Tackling Climate Change with Machine Learning Workshop at NeurIPS 2020 (2020).
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Towards Predicting the Subscription Status of Twitch.tv Users in Proceedings of ECML-PKDD 2020 ChAT Discovery Challenge on Chat Analytics for Twitch (2020).
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Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part III in Lecture Notes in Computer Science (2020). (Vol. 11908) Springer.
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Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II in Lecture Notes in Computer Science (2020). (Vol. 11907) Springer.
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Evaluation of Post-hoc XAI Approaches Through Synthetic Tabular Data D. Helic, G. Leitner, M. Stettinger, A. Felfernig, Z. W. Ra\’s (Eds.) (2020). 422–430.
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NICER — Aesthetic Image Enhancement with Humans in the Loop (2020). 357–362.
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Time Series Forecasting for Self-Aware Systems in Proceedings of the IEEE (2020). 1–26.
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Anomaly Detection in Beehives using Deep Recurrent Autoencoders (2020). 142–149.
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iNALU: Improved Neural Arithmetic Logic Unit in Frontiers in Artificial Intelligence (2020). 3 71.
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Financial Fraud Detection with Improved Neural Arithmetic Logic Units (2020). (Vol. Fifth Workshop on MIning DAta for financial applicationS)
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Integrating Keywords into BERT4Rec for Sequential Recommendation (2020). (Vol. 12325) 275–282.
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HarryMotions – Classifying Relationships in Harry Potter based on Emotion Analysis (2020).
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SimLoss: Class Similarities in Cross Entropy D. Helic, G. Leitner, M. Stettinger, A. Felfernig, Z. W. Ra\’s (Eds.) (2020). 431–439.
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MapLUR: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images in ACM Trans. Spatial Algorithms Syst. (2020). 6(3)
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Smartwatch-Derived Data and Machine Learning Algorithms Estimate Classes of Ratings of Perceived Exertion in Runners: A Pilot Study in Sensors (2020).
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Improving Sentiment Analysis with Biofeedback Data (2020). 28–33.
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Emote-Controlled: Obtaining Implicit Viewer Feedback through Emote based Sentiment Analysis on Comments of Popular Twitch.tv Channels in ACM Transactions on Social Computing (2020). 3(2) 1–34.
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Where to Submit? Helping Researchers to Choose the Right Venue (2020). 878–883.
2019[ to top ]
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Flow-based network traffic generation using Generative Adversarial Networks in Computers & Security (2019). 82 156–172.
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Detection of Scenes in Fiction (2019).
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Solving Mathematical Exercises: Prediction of Students’ Success in CEUR Workshop Proceedings, R. Jäschke, M. Weidlich (Eds.) (2019). (Vol. 2454) 190–194.
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Comparison of System Call Representations for Intrusion Detection. in Advances in Intelligent Systems and Computing, F. Martínez-Álvarez, A. T. Lora, J. A. S. Muñoz, H. Quintián, E. Corchado (Eds.) (2019). (Vol. 951) 14–24.
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Team Xenophilius Lovegood at SemEval-2019 Task 4: Hyperpartisanship Classification using Convolutional Neural Networks (2019).
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EClaiRE: Context Matters! – Comparing Word Embeddings for Relation Classification K. David, K. Geihs, M. Lange, G. Stumme (Eds.) (2019). 191–204.
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A Survey of Network-based Intrusion Detection Data Sets in Computers & Security (2019). 86 147–167.
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On the Right Track! Analysing and Predicting Navigation Success in Wikipedia in HT ’19, C. Atzenbeck, J. Rubart, D. E. Millard (Eds.) (2019). 143–152.
2018[ to top ]
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Burrows Zeta: Varianten und Evaluation (2018).
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Adaptive kNN Using Expected Accuracy for Classification of Geo-Spatial Data (2018).
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Air Trails -- Urban Air Quality Campaign Exploration Patterns (2018).
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Burrows’ Zeta: Exploring and Evaluating Variants and Parameters (2018). 274–277.
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A White-Box Model for Detecting Author Nationality by Linguistic Differences in Spanish Novels (2018).
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Analysing Direct Speech in German Novels (2018).
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Big-Data Helps SDN to Improve Application Specific Quality of Service in Big Data and Software Defined Networks (2018).
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Accessing Information with Tags: Search and Ranking in Social Information Access: Systems and Technologies, P. Brusilovsky, D. He (Eds.) (2018). 310–343.
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ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings (2018).
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Detection of slow port scans in flow-based network traffic in PLOS ONE (2018). 13(9) 1–18.
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EveryAware Gears: A Tool to visualize and analyze all types of Citizen Science Data D. Burghardt, S. Chen, G. Andrienko, N. Andrienko, R. Purves, A. Diehl (Eds.) (2018).
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Flow-based Network Traffic Generation using Generative Adversarial Networks. in CoRR (2018). abs/1810.07795
2017[ to top ]
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Learning Semantic Relatedness From Human Feedback Using Metric Learning (2017).
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Flow-based benchmark data sets for intrusion detection (2017). 361–369.
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Learning Word Embeddings from Tagging Data: A methodological comparison (2017).
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Sedentary Behavior among National Elite Rowers during Off-Training—A Pilot Study in Frontiers in Physiology (2017). 8 655.
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Learning Semantic Relatedness from Human Feedback Using Relative Relatedness Learning (2017).
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A Toolset for Intrusion and Insider Threat Detection in Data Analytics and Decision Support for Cybersecurity: Trends, Methodologies and Applications, I. Palomares Carrascosa, H. K. Kalutarage, Y. Huang (Eds.) (2017). 3–31.
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Creation of Flow-Based Data Sets for Intrusion Detection in Journal of Information Warfare (2017). 16(4) 41–54.
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Participatory sensing, opinions and collective awareness (2017). Springer.
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Improving Session Recommendation with Recurrent Neural Networks by Exploiting Dwell Time (2017).
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Leveraging User-Interactions for Time-Aware Tag Recommendations in CEUR Workshop Proceedings (2017).
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Towards Sentiment Analysis on German Literature G. Kern-Isberner, J. Fürnkranz, M. Thimm (Eds.) (2017). 387–394.
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Comparing Hypotheses About Sequential Data: A Bayesian Approach and Its Applications Y. Altun, K. Das, T. Mielikäinen, D. Malerba, J. Stefanowski, J. Read, M. \vZitnik, M. Ceci, S. D\vzeroski (Eds.) (2017). 354–357.
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IP2Vec: Learning Similarities Between IP Addresses in 2017 IEEE International Conference on Data Mining Workshops (ICDMW) (2017). 657–666.
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Mining social semantics on the social web in Semantic Web (2017). 8(5) 623–624.
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A Bayesian Method for Comparing Hypotheses About Human Trails in ACM Trans. Web (2017). 11(3) 14:1–14:29.
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MixedTrails: Bayesian hypothesis comparison on heterogeneous sequential data in Data Mining and Knowledge Discovery (2017).
2016[ to top ]
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Mining Subgroups with Exceptional Transition Behavior B. Krishnapuram, M. Shah, A. J. Smola, C. Aggarwal, D. Shen, R. Rastogi (Eds.) (2016). 965–974.
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Significance Testing for the Classification of Literary Subgenres (2016).
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Extracting Semantics from Unconstrained Navigation on Wikipedia in KI (2016). 30(2) 163–168.
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SparkTrails: A MapReduce Implementation of HypTrails for Comparing Hypotheses About Human Trails. J. Bourdeau, J. Hendler, R. Nkambou, I. Horrocks, B. Y. Zhao (Eds.) (2016). 17–18.
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Proceedings of the Workshop on Interactions between Data Mining and Natural Language Processing, DMNLP 2016, co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2016, Riva del Garda, Italy, September 23, 2016. in CEUR Workshop Proceedings (2016). (Vol. 1646) CEUR-WS.org.
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Prediction of Happy Endings in German Novels in CEUR Workshop Proceedings, P. Cellier, T. Charnois, A. Hotho, S. Matwin, M.-F. Moens, Y. Toussaint (Eds.) (2016). (Vol. 1646) 9–16.
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Analyzing Features for the Detection of Happy Endings in German Novels (2016).
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Classification of Literary Subgenres (2016).
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FolkTrails: Interpreting Navigation Behavior in a Social Tagging System in CIKM ’16 (2016).
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Posted, Visited, Exported: Altmetrics in the Social Tagging System BibSonomy in Journal of Informetrics (2016). 10(3) 732–749.
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Creation of Specific Flow-Based Training Data Sets for Usage Behaviour Classification (2016). 437.
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Comparison of non-invasive individual monitoring of the training and health of athletes with commercially available wearable technologies in Frontiers in Physiology (2016). 7(71)
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What Users Actually do in a Social Tagging System: A Study of User Behavior in BibSonomy in ACM Transactions on the Web (2016). 10(2) 14:1–14:32.
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Extracting Semantics from Random Walks on Wikipedia: Comparing learning and counting methods R. West, L. Zia, D. Taraborelli, J. Leskovec (Eds.) (2016).
2015[ to top ]
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On Publication Usage in a Social Bookmarking System (2015).
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VizTrails: An Information Visualization Tool for Exploring Geographic Movement Trajectories in HT ’15 (2015). 319–320.
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ConDist: A Context-Driven Categorical Distance Measure ECMLPKDD2015 (Ed.) (2015).
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Participatory Patterns in an International Air Quality Monitoring Initiative (2015).
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Media Bias in German Online Newspapers (2015).
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Modeling and Extracting Load Intensity Profiles (2015).
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Genre classification on German novels (2015).
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Automatic Threshold Calculation for the Categorical Distance Measure ConDist. in CEUR Workshop Proceedings, R. Bergmann, S. Görg, G. Müller (Eds.) (2015). (Vol. 1458) 52–63.
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MicroTrails: Comparing Hypotheses About Task Selection on a Crowdsourcing Platform in i-KNOW ’15 (2015). 10:1–10:8.
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Hyptrails: A bayesian approach for comparing hypotheses about human trails (2015).
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Participatory Patterns in an International Air Quality Monitoring Initiative in PLoS ONE (2015). 10(8) e0136763.
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Photowalking the city: comparing hypotheses about urban photo trails on Flickr (2015).
2014[ to top ]
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Subjective vs. Objective Data: Bridging the Gap (2014).
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Ubicon and its Applications for Ubiquitous Social Computing in New Review of Hypermedia and Multimedia (2014). 20(1) 53–77.
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HypTrails: A Bayesian Approach for Comparing Hypotheses about Human Trails on the Web (2014).
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Of course we share! Testing Assumptions about Social Tagging Systems (2014).
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Proceedings of the 1st International Workshop on Interactions between Data Mining and Natural Language Processing co-located with The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, DMNLP@PKDD/ECML 2014, Nancy, France, September 15, 2014 in CEUR Workshop Proceedings (2014). (Vol. 1202) CEUR-WS.org.
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The social distributional hypothesis: a pragmatic proxy for homophily in online social networks in Social Network Analysis and Mining (2014). 4(1)
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The sixth ACM RecSys workshop on recommender systems and the social web (2014). 395.
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Evaluating Assumptions about Social Tagging - A Study of User Behavior in BibSonomy T. Seidl, M. Hassani, C. Beecks (Eds.) (2014). 18–19.
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How Social is Social Tagging? in WWW 2014 (2014).
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Folksonomies in Encyclopedia of Social Network Analysis and Mining (2014). 542–547.
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Proceedings of the 6th Workshop on Recommender Systems and the Social Web (RSWeb 2014) co-located with the 8th ACM Conference on Recommender Systems (RecSys 2014), Foster City, CA, USA, October 6, 2014 in CEUR Workshop Proceedings (2014). (Vol. 1271) CEUR-WS.org.
2013[ to top ]
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Proceedings of the Fifth ACM RecSys Workshop on Recommender Systems and the Social Web co-located with the 7th ACM Conference on Recommender Systems (RecSys 2013), Hong Kong, China, October 13, 2013. in CEUR Workshop Proceedings (2013). (Vol. 1066) CEUR-WS.org.
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Semantics of User Interaction in Social Media in Complex Networks IV, G. Ghoshal, J. Poncela-Casasnovas, R. Tolksdorf (Eds.) (2013). (Vol. 476)
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Deeper Into the Folksonomy Graph: FolkRank Adaptations and Extensions for Improved Tag Recommendations in cs.IR (2013). 1310.1498
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Informationelle Selbstbestimmung Im Web 2.0 Chancen Und Risiken Sozialer Verschlagwortungssysteme (2013). Vieweg + Teubner Verlag.
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How Tagging Pragmatics Influence Tag Sense Discovery in Social Annotation Systems in Advances in Information Retrieval, P. Serdyukov, P. Braslavski, S. Kuznetsov, J. Kamps, S. Rüger, E. Agichtein, I. Segalovich, E. Yilmaz (Eds.) (2013). (Vol. 7814) 86–97.
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Tag Recommendations for SensorFolkSonomies (2013). (Vol. 1066)
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A Generic Platform for Ubiquitous and Subjective Data (2013). New York, NY, USA.
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Computing Semantic Relatedness from Human Navigational Paths: A Case Study on Wikipedia in International Journal on Semantic Web and Information Systems (IJSWIS) (2013). 9(4) 41–70.
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Ubiquitous Social Media Analysis Third International Workshops, MUSE 2012, Bristol, UK, September 24, 2012, and MSM 2012, Milwaukee, WI, USA, June 25, 2012, Revised Selected Papers (2013). Imprint: Springer, Berlin, Heidelberg.
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Exploiting Structural Consistencies with Stacked Conditional Random Fields in Mathematical Methodologies in Pattern Recognition and Machine Learning Springer Proceedings in Mathematics & Statistics (2013). 30 111–125.
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Awareness and Learning in Participatory Noise Sensing in PLoS ONE (2013). 8(12) e81638.
2012[ to top ]
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Proceedings of the Third International Workshop on Mining Ubiquitous and Social Environments (MUSE 2012) (2012). Workshop Notes, Bristol, UK.
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Stacked Conditional Random Fields Exploiting Structural Consistencies P. L. Carmona, J. S. Sánchez, A. Fred (Eds.) (2012). 240–248.
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From Semantic Web Mining to Social and Ubiquitous Mining - A Subjective View on Past, Current, and Future Research. D. Fensel (Ed.) (2011). 143–153.
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2010[ to top ]
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2009[ to top ]
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2008[ to top ]
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2007[ to top ]
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2006[ to top ]
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2000[ to top ]
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