Deutsch Intern
    Data Science Chair

    Publications

    The following list contains all publications by our group. Publications with Code are available on Github. Check out our published datasets and tools and webpages developed by us.

    2024[ to top ]
    • CompTrails: comparing hyp...
      CompTrails: comparing hypotheses across behavioral networks. Koopmann, Tobias; Becker, Martin; Lemmerich, Florian; Hotho, Andreas. In Data Mining and Knowledge Discovery. 2024
    • Marina: Realizing ML-Driv...
      Marina: Realizing ML-Driven Real-Time Network Traffic Monitoring at Terabit Scale. Seufert, Michael; Dietz, Katharina; Wehner, Nikolas; Geißler, Stefan; Schüler, Joshua; Wolz, Manuel; Hotho, Andreas; Casas, Pedro; Hoßfeld, Tobias; Feldmann, Anja. In IEEE Transactions on Network and Service Management, pp. 1–1. 2024
    • BibSonomy Meets ChatLLMs ...
      BibSonomy Meets ChatLLMs for Publication Management: From Chat to Publication Management: Organizing your related work using BibSonomy & LLMs. Völker, Tom; Pfister, Jan; Koopmann, Tobias; Hotho, Andreas. 2024
    • Global Vegetation Modelin...
      Global Vegetation Modeling with Pre-Trained Weather Transformers. Janetzky, Pascal; Gallusser, Florian; Hentschel, Simon; Hotho, Andreas; Krause, Anna. 2024
    2023[ to top ]
    • Optimizing Medical Servic...
      Optimizing Medical Service Request Processes through Language Modeling and Semantic Search. Schl\"{o}r, Daniel; Pfister, Jan; Hotho, Andreas. In 2023 the 7th International Conference on Medical and Health Informatics (ICMHI), of ICMHI 2023, pp. 136–141. Association for Computing Machinery, Kyoto, Japan, 2023
    • Evaluating feature releva...
      Evaluating feature relevance XAI in network intrusion detection. Tritscher, Julian; Wolf, Maximilian; Hotho, Andreas; Schlör, Daniel. In The World Conference on eXplainable Artificial Intelligence (xAI 2023) - to appear. 2023
    • Large Language Models and...
      Large Language Models and Knowledge Graphs: Opportunities and Challenges. Pan, Jeff Z.; Razniewski, Simon; Kalo, Jan-Christoph; Singhania, Sneha; Chen, Jiaoyan; Dietze, Stefan; Jabeen, Hajira; Omeliyanenko, Janna; Zhang, Wen; Lissandrini, Matteo; Biswas, Russa; de Melo, Gerard; Bonifati, Angela; Vakaj, Edlira; Dragoni, Mauro; Graux, Damien. In Transactions on Graph Data and Knowledge, Vol. 1, Issue 1, pp. 2:1–2:38. Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik, Dagstuhl, Germany, 2023
    • Towards a Computational A...
      Towards a Computational Analysis of Suspense: Detecting Dangerous Situations. Zehe, Albin; Schröter, Julian; Hotho, Andreas. 2023
    • Occupational Fraud Detect...
      Occupational Fraud Detection through Agent-based Data Generation. Tritscher, Julian; Roos, Alexander; Schlör, Daniel; Hotho, Andreas; Krause, Anna. In The 8th Workshop on MIning DAta for financial applicationS MIDAS 2023 - to appear. 2023
    • Higher-Order DeepTrails: ...
      Higher-Order DeepTrails: Unified Approach to *Trails. Koopmann, Tobias; Pfister, Jan; Markus, André; Carolus, Astrid; Wienrich, Carolin; Hotho, Andreas. In Lernen, Wissen, Daten, Analysen {(LWDA)} Conference Proceedings, Marburg, Germany, October 9-11, 2023, Vol. 3630 of {CEUR} Workshop Proceedings, M. Leyer, J. Wichmann (eds.), pp. 372–386. CEUR-WS.org, 2023
    • CapsKG: Enabling Continua...
      CapsKG: Enabling Continual Knowledge Integration in Language Models for Automatic Knowledge Graph Completion. Omeliyanenko, Janna; Zehe, Albin; Hotho, Andreas; Schlör, Daniel. In International Semantic Web Conference ISWC 2023, to appear. 2023
    • Can Neural Networks Disti...
      Can Neural Networks Distinguish High-school Level Mathematical Concepts?. Wankerl, Sebastian; Dulny, Andrzej; Goetz, Gerhard; Hotho, Andreas. In ICDM. 2023
    • TaylorPDENet: Learning PD...
      TaylorPDENet: Learning PDEs from non-grid Data. Heinisch, Paul; Dulny, Andrzej; Krause, Anna; Hotho, Andreas. 2023
    • Enhancing Sequential Next...
      Enhancing Sequential Next-Item Prediction through Modelling Non-Item Pages. Fischer, Elisabeth; Schlör, Daniel; Zehe, Albin; Hotho, Andreas. 2023
    • Automatic Speech Detectio...
      Automatic Speech Detection on a Smart Beehive’s Raspberry Pi. Janetzky, Pascal; Lissmann, Philipp; Hotho, Andreas; Krause, Anna. In LWDA 2023 - Learning, Knowledge, Data, and Analysis. 2023
    • Optimizing Medical Servic...
      Optimizing Medical Service Request Processes through Language Modeling and Semantic Search. Schlör, Daniel; Pfister, Jan; Hotho, Andreas. In 2023 the 7th International Conference on Medical and Health Informatics (ICMHI), of ICMHI 2023, pp. 136–141. Association for Computing Machinery, Kyoto, Japan, 2023
    • Feature relevance XAI in ...
      Feature relevance XAI in anomaly detection: Reviewing approaches and challenges. Tritscher, Julian; Krause, Anna; Hotho, Andreas. In Frontiers in Artificial Intelligence, Vol. 6. 2023
    • Long-Term Effects of Perc...
      Long-Term Effects of Perceived Friendship with Intelligent Voice Assistants on Usage Behavior, User Experience, and Social Perceptions. Wienrich, Carolin; Carolus, Astrid; Markus, André; Augustin, Yannik; Pfister, Jan; Hotho, Andreas. In Computers, Vol. 12, Issue 4. 2023
    • Multi-Task Transformer Visualization to build Trust for Clinical Outcome Prediction. Antweiler, Dario; Gallusser, Florian; Fuchs, Georg. In 2023 Workshop on Visual Analytics in Healthcare (VAHC), pp. 21–26. 2023
    • Pointer Networks: A Unifi...
      Pointer Networks: A Unified Approach to Extracting {G}erman Opinions. Wunderle, Julia; Pfister, Jan; Hotho, Andreas. In Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023), M. Georges, A. Herygers, A. Friedrich, B. Roth (eds.), pp. 127–138. Association for Computational Lingustics, Ingolstadt, Germany, 2023
    • Zero-Shot Clickbait Spoil...
      Zero-Shot Clickbait Spoiling by Rephrasing Titles as Questions. Wangsadirdja, Dirk; Pfister, Jan; Kobs, Konstantin; Hotho, Andreas. In Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023), pp. 1090–1095. Association for Computational Linguistics, Toronto, Canada, 2023
    • Liquor-HGNN: A heterogene...
      Liquor-HGNN: A heterogeneous graph neural network for leakage detection in water distribution networks. Schaller, Melanie; Steininger, Michael; Dulny, Andrzej; Schlör, Daniel; Hotho, Andreas. In LWDA’23: Lernen, Wissen, Daten, Analysen. October 09--11, 2023, Marburg, Germany, M. Leyer (ed.). 2023
    • ConvMOS: climate model ou...
      ConvMOS: climate model output statistics with deep learning. Steininger, Michael; Abel, Daniel; Ziegler, Katrin; Krause, Anna; Paeth, Heiko; Hotho, Andreas. In Data Mining and Knowledge Discovery, Vol. 37, Issue 1, pp. 136–166. 2023
    • Can Neural Networks Distinguish High-school Level Mathematical Concepts?. Wankerl, Sebastian; Dulny, Andrzej; Götz, Gerhard; Hotho, Andreas. In Accepted at ICDM. 2023
    • DynaBench: A Benchmark Da...
      DynaBench: A Benchmark Dataset for Learning Dynamical Systems from Low-Resolution Data. Dulny, Andrzej; Hotho, Andreas; Krause, Anna. In Machine Learning and Knowledge Discovery in Databases: Research Track, D. Koutra, C. Plant, M. Gomez Rodriguez, E. Baralis, F. Bonchi (eds.), pp. 438–455. Springer Nature Switzerland, Cham, 2023
    • Swarming Detection in Sma...
      Swarming Detection in Smart Beehives Using Auto Encoders for Audio Data. Janetzky, Pascal; Schaller, Melanie; Krause, Anna; Hotho, Andreas. In 2023 30th International Conference on Systems, Signals and Image Processing (IWSSIP), pp. 1–5. 2023
    2022[ to top ]
    • Detecting Anomalies in Tr...
      Detecting Anomalies in Transaction Data. Technical Report (PhD dissertation), . Schlör, Daniel. PhD dissertation. Universität Würzburg, 2022
    • Semi-unsupervised Learnin...
      Semi-unsupervised Learning for Time Series Classification. Davidson, Padraig; Steininger, Michael; Huhn, André; Krause, Anna; Hotho, Andreas. In Milets@KDD. arXiv, 2022
    • NeuralPDE: Modelling Dyna...
      NeuralPDE: Modelling Dynamical Systems from Data. Dulny, Andrzej; Hotho, Andreas; Krause, Anna. In {KI} 2022: Advances in Artificial Intelligence - 45th German Conference on AI, Trier, Germany, September 19-23, 2022, Proceedings, Vol. 13404 of Lecture Notes in Computer Science, R. Bergmann, L. Malburg, S. C. Rodermund, I. J. Timm (eds.), pp. 75–89. Springer, 2022
    • A sensor-driven approach for analyzing a beehive’s state. Davidson, Padraig; Hotho, Andreas; Krause, Anna. 2022
    • Anomaly Detection in Bee...
      Anomaly Detection in Beehives: An Algorithm Comparison. Davidson, Padraig; Steininger, Michael; Lautenschlager, Florian; Krause, Anna; Hotho, Andreas. In Sensor Networks, A. Ahrens, R. V. Prasad, C. Benavente-Peces, N. Ansari (eds.), pp. 1–20. Springer International Publishing, Cham, 2022
    • CLIP knows image aesthetics. Hentschel, Simon; Kobs, Konstantin; Hotho, Andreas. In Frontiers in artificial intelligence, Vol. 5, p. 976235. 2022
    • The Impact of Different System Call Representations on Intrusion Detection. Wunderlich, Sarah; Ring, Markus; Landes, Dieter; Hotho, Andreas. In Log. J. {IGPL}, Vol. 30, Issue 2, pp. 239–251. 2022
    • Do Different Deep Metric Learning Losses Lead to Similar Learned Features?. Kobs, Konstantin; Steininger, Michael; Dulny, Andrzej; Hotho, Andreas. In CoRR, Vol. abs/2205.02698. 2022
    • One Graph to Rule them Al...
      One Graph to Rule them All: Using {NLP} and Graph Neural Networks to analyse Tolkien’s Legendarium. Perri, Vincenzo; Qarkaxhija, Lisi; Zehe, Albin; Hotho, Andreas; Scholtes, Ingo. In Proceedings of the Computational Humanities Research Conference 2022, {CHR} 2022, Antwerp, Belgium, December 12-14, 2022, Vol. 3290 of {CEUR} Workshop Proceedings, F. Karsdorp, K. L. Nielbo (eds.), pp. 291–317. CEUR-WS.org, 2022
    • On Learning Hierarchical Embeddings from Encrypted Network Traffic. Wehner, Nikolas; Ring, Markus; Sch{\"{u}}ler, Joshua; Hotho, Andreas; Ho{\ss}feld, Tobias; Seufert, Michael. In 2022 {IEEE/IFIP} Network Operations and Management Symposium, {NOMS} 2022, Budapest, Hungary, April 25-29, 2022, pp. 1–7. {IEEE}, 2022
    • Sequential Item Recommendation in the {MOBA} Game Dota 2. Dallmann, Alexander; Kohlmann, Johannes; Zoller, Daniel; Hotho, Andreas. In CoRR, Vol. abs/2201.08724. 2022
    • Towards Explainable Occup...
      Towards Explainable Occupational Fraud Detection. Tritscher, Julian; Schlör, Daniel; Gwinner, Fabian; Krause, Anna; Hotho, Andreas. In Machine Learning and Principles and Practice of Knowledge Discovery in Databases. ECML PKDD 2022, Vol. Communications in Computer and Information Science, Issue 1753, pp. 79–96. 2022
    • On Background Bias in Deep Metric Learning. Kobs, Konstantin; Hotho, Andreas. In CoRR, Vol. abs/2210.01615. 2022
    • SenPoi at SemEval-2022 Task 10: Point me to your Opinion, SenPoi. Pfister, Jan; Wankerl, Sebastian; Hotho, Andreas. In Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, Seattle, Washington, United States, July 14-15, 2022, G. Emerson, N. Schluter, G. Stanovsky, R. Kumar, A. Palmer, N. Schneider, S. Singh, S. Ratan (eds.), pp. 1313–1323. Association for Computational Linguistics, 2022
    • Comparison of Data Representations and Machine Learning Architectures for User Identification on Arbitrary Motion Sequences. Schell, Christian; Hotho, Andreas; Latoschik, Marc Erich. In CoRR, Vol. abs/2210.00527. 2022
    • {LSX} team5 at {S}em{E}va...
      {LSX} team5 at {S}em{E}val-2022 Task 8: Multilingual News Article Similarity Assessment based on Word- and Sentence Mover{’}s Distance. Heil, Stefan; Kopp, Karina; Zehe, Albin; Kobs, Konstantin; Hotho, Andreas. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), pp. 1190–1195. Association for Computational Linguistics, Seattle, United States, 2022
    • {W}ue{D}evils at {S}em{E}...
      {W}ue{D}evils at {S}em{E}val-2022 Task 8: Multilingual News Article Similarity via Pair-Wise Sentence Similarity Matrices. Wangsadirdja, Dirk; Heinickel, Felix; Trapp, Simon; Zehe, Albin; Kobs, Konstantin; Hotho, Andreas. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), pp. 1235–1243. Association for Computational Linguistics, Seattle, United States, 2022
    • Point me to your Opinion,...
      Point me to your Opinion, {S}en{P}oi. Pfister, Jan; Wankerl, Sebastian; Hotho, Andreas. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), pp. 1313–1323. Association for Computational Linguistics, Seattle, United States, 2022
    • ConvMOS: Climate Model Ou...
      ConvMOS: Climate Model Output Statistics with Deep Learning. Steininger, Michael; Abel, Daniel; Ziegler, Katrin; Krause, Anna; Paeth, Heiko; Hotho, Andreas. In Data Mining and Knowledge Discovery, P. Cellier; K. Dembczynski; A. Zimmermann; E. Devijver (eds.). Springer, 2022
    • Towards Responsible Medic...
      Towards Responsible Medical Diagnostics Recommendation Systems. Schlör, Daniel; Hotho, Andreas. In CoRR, Vol. abs/2209.03760. 2022
    • Personalization through U...
      Personalization through User Attributes for Transformer-based Sequential Recommendation. Fischer, Elisabeth; Dallmann, Alexander; Hotho, Andreas. 2022
    • InDiReCT: Language-Guided...
      InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images. Kobs, Konstantin; Steininger, Michael; Hotho, Andreas. 2022
    • Towards Responsible Medical Diagnostics Recommendation Systems. Schlör, Daniel; Hotho, Andreas. 2022
    • Open ERP System Data For ...
      Open ERP System Data For Occupational Fraud Detection. Tritscher, Julian; Gwinner, Fabian; Schlör, Daniel; Krause, Anna; Hotho, Andreas. In arxiv. 2022
    • Towards Responsible Medical Diagnostics Recommendation Systems. Schl{\"{o}}r, Daniel; Hotho, Andreas. In CoRR, Vol. abs/2209.03760. 2022
    2021[ to top ]
    • Detecting Presence Of Spe...
      Detecting Presence Of Speech In Acoustic Data Obtained From Beehives. Janetzky, Pascal; Davidson, Padraig; Steininger, Michael; Krause, Anna; Hotho, Andreas. In DCASE Workshop. 2021
    • NeuralPDE: Modelling Dynamical Systems from Data. Dulny, Andrzej; Hotho, Andreas; Krause, Anna. 2021
    • Semi-Supervised Learning ...
      Semi-Supervised Learning for Grain Size Distribution Interpolation. Kobs, Konstantin; Schäfer, Christian; Steininger, Michael; Krause, Anna; Baumhauer, Roland; Paeth, Heiko; Hotho, Andreas. In Pattern Recognition. ICPR International Workshops and Challenges: Virtual Event, January 10--15, 2021, Proceedings, Part VI, pp. 34–44. Springer International Publishing, 2021
    • Semi-unsupervised Learning: An In-depth Parameter Analysis. Davidson, Padraig; Buckermann, Florian; Steininger, Michael; Krause, Anna; Hotho, Andreas. In KI 2021: Advances in Artificial Intelligence, S. Edelkamp, R. M{\"o}ller, E. Rueckert (eds.), pp. 51–66. Springer International Publishing, Cham, 2021
    • A financial game with opp...
      A financial game with opportunities for fraud. Tritscher, Julian; Krause, Anna; Schl{\"o}r, Daniel; Gwinner, Fabian; von Mammen, Sebastian; Hotho, Andreas. In IEE COG 2021, Vol. 2021. 2021
    • Proximity dimensions and ...
      Proximity dimensions and the emergence of collaboration: a HypTrails study on German AI research. Koopmann, Tobias; Stubbemann, Maximilian; Kapa, Matthias; Paris, Michael; Buenstorf, Guido; Hanika, Tom; Hotho, Andreas; Jäschke, Robert; Stumme, Gerd. In Scientometrics. 2021
    • The Semantic Web - {ISWC} 2021 - 20th International Semantic Web Conference, {ISWC} 2021, Virtual Event, October 24-28, 2021, Proceedings. Hotho, Andreas; Blomqvist, Eva; Dietze, Stefan; Fokoue, Achille; Ding, Ying; Barnaghi, Payam M.; Haller, Armin; Dragoni, Mauro; Alani, Harith. In Vol. 12922 of Lecture Notes in Computer Science. Springer, 2021
    • Malware detection on wind...
      Malware detection on windows audit logs using LSTMs. Ring, Markus; Schlör, Daniel; Wunderlich, Sarah; Landes, Dieter; Hotho, Andreas. In Computers & Security, Vol. 109, p. 102389. 2021
    • Density-based weighting f...
      Density-based weighting for imbalanced regression. Steininger, Michael; Kobs, Konstantin; Davidson, Padraig; Krause, Anna; Hotho, Andreas. In Machine Learning, A. Appice; S. Escalera; J. A. Gamez; H. Trautmann (eds.). 2021
    • A financial game with opp...
      A financial game with opportunities for fraud. Tritscher, Julian; Krause, Anna; Schlör, Daniel; Gwinner, Fabian; Von Mammen, Sebastian; Hotho, Andreas. In 2021 IEEE Conference on Games (CoG), pp. 1–5. 2021
    • Anomaly Detection in Beeh...
      Anomaly Detection in Beehives: An Algorithm Comparison. Davidson, Padraig; Steininger, Michael; Lautenschlager, Florian; Krause, Anna; Hotho, Andreas. In International Conference on Sensor Networks, Vol. 1674 of Communications in Computer and Information Science, A. Ahrens, R. Prasad, C. Benavente-Peces, N. Ansari (eds.), pp. 1–20. Springer, 2021
    • Detecting Scenes in Ficti...
      Detecting Scenes in Fiction: A new Segmentation Task. Zehe, Albin; Konle, Leonard; Dümpelmann, Lea; Gius, Evelyn; Hotho, Andreas; Jannidis, Fotis; Kaufmann, Lucas; Krug, Markus; Puppe, Frank; Reiter, Nils; Schreiber, Annekea; Wiedmer, Nathalie. In Proceedings of the 16th Conference of the {E}uropean Chapter of the Association for Computational Linguistics: Volume 1, Long Papers. ACL, 2021
    • Shared Task on Scene Segm...
      Shared Task on Scene Segmentation @ KONVENS 2021. Zehe, Albin; Konle, Leonard; Guhr, Svenja; Dümpelmann, Lea; Gius, Evelyn; Hotho, Andreas; Jannidis, Fotis; Kaufmann, Lucas; Krug, Markus; Puppe, Frank; Reiter, Nils; Schreiber, Annekea. In Shared Task on Scene Segmentation @ KONVENS 2021, pp. 1–21. 2021
    • Do Different Deep Metric ...
      Do Different Deep Metric Learning Losses Lead to Similar Learned Features?. Kobs, Konstantin; Steininger, Michael; Dulny, Andrzej; Hotho, Andreas. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp. 10644–10654. 2021
    • Automating the optical identification of abrasive wear on electrical contact pins. Buckermann, Florian; Klement, Nils; Beyer, Oliver; Hütten, Andreas; Hammer, Barbara. In at - Automatisierungstechnik, Vol. 69, Issue 10, pp. 903–914. 2021
    • CoBERT: Scientific Collab...
      CoBERT: Scientific Collaboration Prediction via Sequential Recommendation. Koopmann, Tobias; Kobs, Konstantin; Herud, Konstantin; Hotho, Andreas. In 2021 International Conference on Data Mining Workshops (ICDMW), pp. 45–54. 2021
    • Sequential Item Recommendation in the MOBA Game Dota 2. Dallmann, Alexander; Kohlmann, Johannes; Zoller, Daniel; Hotho, Andreas. In 2021 International Conference on Data Mining Workshops (ICDMW), pp. 10–17. 2021
    • Learning Mathematical Relations Using Deep Tree Models. Wankerl, Sebastian; Dulny, Andrzej; Götz, Gerhard; Hotho, Andreas. In 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 1681–1687. 2021
    • The {F}airy{N}et Corpus -...
      The {F}airy{N}et Corpus - Character Networks for {G}erman Fairy Tales. Schmidt, David; Zehe, Albin; Lorenzen, Janne; Sergel, Lisa; D{\"u}ker, Sebastian; Krug, Markus; Puppe, Frank. In Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, pp. 49–56. Association for Computational Linguistics, Punta Cana, Dominican Republic (online), 2021
    • A Case Study on Sampling ...
      A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models. Dallmann, Alexander; Zoller, Daniel; Hotho, Andreas. In Fifteenth {ACM} Conference on Recommender Systems. {ACM}, 2021
    • Comparison of Transformer...
      Comparison of Transformer-Based Sequential Product Recommendation Models for the Coveo Data Challenge. Fischer, Elisabeth; Zoller, Daniel; Hotho, Andreas. In SIGIR Workshop On eCommerce. 2021
    • Self-Supervised Multi-Tas...
      Self-Supervised Multi-Task Pretraining Improves Image Aesthetic Assessment. Pfister, Jan; Kobs, Konstantin; Hotho, Andreas. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 816–825. 2021
    • Assessing Media Bias in C...
      Assessing Media Bias in Cross-Linguistic and Cross-National Populations. Sales, Allan; Zehe, Albin; Marinho, Leandro Balby; Veloso, Adriano; Hotho, Andreas; Omeliyanenko, Janna. In Proceedings of the International AAAI Conference on Web and Social Media, Vol. 15, Issue 1, pp. 561–572. 2021
    • Evaluating the multi-task...
      Evaluating the multi-task learning approach for land use regression modelling of air pollution. Dulny, Andrzej; Steininger, Michael; Lautenschlager, Florian; Krause, Anna; Hotho, Andreas. In Journal of Physics: Conference Series, Vol. 1834, Issue 1, p. 012004. {IOP} Publishing, 2021
    2020[ to top ]
    • Integrating Keywords into...
      Integrating Keywords into BERT4Rec for Sequential Recommendation. Fischer, Elisabeth; Zoller, Daniel; Dallmann, Alexander; Hotho, Andreas. In KI 2020: Advances in Artificial Intelligence. 2020
    • Evaluating the multi-task...
      Evaluating the multi-task learning approach for land use regression modelling of air pollution. Dulny, Andrzej; Steininger, Michael; Lautenschlager, Florian; Krause, Anna; Hotho, Andreas. In International Conference on Frontiers of Artificial Intelligence and Machine Learning. IASED, 2020
    • Emote-Controlled: Obtaini...
      Emote-Controlled: Obtaining Implicit Viewer Feedback through Emote based Sentiment Analysis on Comments of Popular Twitch.tv Channels. Kobs, Konstantin; Zehe, Albin; Bernstetter, Armin; Chibane, Julian; Pfister, Jan; Tritscher, Julian; Hotho, Andreas. In ACM Transactions on Social Computing. 2020
    • Evaluation of post-hoc XA...
      Evaluation of post-hoc XAI approaches through synthetic tabular data. Tritscher, Julian; Ring, Markus; Schlör, Daniel; Hettinger, Lena; Hotho, Andreas. In International Symposium on Methodologies for Intelligent Systems. Springer, 2020
    • Deep Learning for Climate...
      Deep Learning for Climate Model Output Statistics. Steininger, Michael; Abel, Daniel; Ziegler, Katrin; Krause, Anna; Paeth, Heiko; Hotho, Andreas. In Tackling Climate Change with Machine Learning Workshop at NeurIPS 2020. 2020
    • LM4KG: Improving Common S...
      LM4KG: Improving Common Sense Knowledge Graphs with Language Models. Omeliyanenko, Janna; Zehe, Albin; Hettinger, Lena; Hotho, Andreas. In International Semantic Web Conference. Springer, 2020
    • NICER — Aesthetic Image...
      NICER — Aesthetic Image Enhancement with Humans in the Loop. Fischer, Michael; Kobs, Konstantin; Hotho, Andreas. In ACHI 2020: The Thirteenth International Conference on Advances in Computer-Human Interactions, pp. 357–362. 2020
    • iNALU: Improved Neural Ar...
      iNALU: Improved Neural Arithmetic Logic Unit. Schlör, Daniel; Ring, Markus; Hotho, Andreas. In Frontiers in Artificial Intelligence, Vol. 3, p. 71. 2020
    • Financial Fraud Detection...
      Financial Fraud Detection with Improved Neural Arithmetic Logic Units. Schlör, Daniel; Ring, Markus; Krause, Anna; Hotho, Andreas. Vol. Fifth Workshop on MIning DAta for financial applicationS. 2020
    • Evaluation of Post-hoc XA...
      Evaluation of Post-hoc XAI Approaches Through Synthetic Tabular Data. Tritscher, Julian; Ring, Markus; Schlr, Daniel; Hettinger, Lena; Hotho, Andreas. In Foundations of Intelligent Systems, D. Helic, G. Leitner, M. Stettinger, A. Felfernig, Z. W. Ra{\’{s}} (eds.), pp. 422–430. Springer International Publishing, Cham, 2020
    • Improving Sentiment Analy...
      Improving Sentiment Analysis with Biofeedback Data. Schlör, Daniel; Zehe, Albin; Kobs, Konstantin; Veseli, Blerta; Westermeier, Franziska; Brübach, Larissa; Roth, Daniel; Latoschik, Marc Erich; Hotho, Andreas. In Proceedings of the Workshop on peOple in laNguage, vIsiOn and the miNd (ONION). 2020
    • HarryMotions – Classify...
      HarryMotions – Classifying Relationships in Harry Potter based on Emotion Analysis. Zehe, Albin; Arns, Julia; Hettinger, Lena; Hotho, Andreas. In 5th SwissText & 16th KONVENS Joint Conference. 2020
    • SimLoss: Class Similariti...
      SimLoss: Class Similarities in Cross Entropy. Kobs, Konstantin; Steininger, Michael; Zehe, Albin; Lautenschlager, Florian; Hotho, Andreas. 2020
    • Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part III. Brefeld, Ulf; Fromont, Élisa; Hotho, Andreas; Knobbe, Arno J.; Maathuis, Marloes H.; Robardet, Céline. In Vol. 11908 of Lecture Notes in Computer Science. Springer, 2020
    • Improving Sentiment Analy...
      Improving Sentiment Analysis with Biofeedback Data. Schl{\"o}r, Daniel; Zehe, Albin; Kobs, Konstantin; Veseli, Blerta; Westermeier, Franziska; Br{\"u}bach, Larissa; Roth, Daniel; Latoschik, Marc Erich; Hotho, Andreas. In Proceedings of LREC2020 Workshop ``People in language, vision and the mind’’ (ONION2020), pp. 28–33. European Language Resources Association (ELRA), Marseille, France, 2020
    • Where to Submit? Helping ...
      Where to Submit? Helping Researchers to Choose the Right Venue. Kobs, Konstantin; Koopmann, Tobias; Zehe, Albin; Fernes, David; Krop, Philipp; Hotho, Andreas. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, pp. 878–883. Association for Computational Linguistics, Online, 2020
    • OpenLUR: Off-the-shelf ai...
      OpenLUR: Off-the-shelf air pollution modeling with open features and machine learning. Lautenschlager, Florian; Becker, Martin; Kobs, Konstantin; Steininger, Michael; Davidson, Padraig; Krause, Anna; Hotho, Andreas. In Atmospheric Environment, Vol. 233, p. 117535. 2020
    • Smartwatch-Derived Data a...
      Smartwatch-Derived Data and Machine Learning Algorithms Estimate Classes of Ratings of Perceived Exertion in Runners: A Pilot Study. Davidson, Padraig; Düking, Peter; Zinner, Christoph; Sperlich, Billy; Hotho, Andreas. In Sensors, Vol. 20, Issue 9. 2020
    • Emote-Controlled: Obtaining Implicit Viewer Feedback through Emote based Sentiment Analysis on Comments of Popular Twitch.tv Channels. Kobs, Konstantin; Zehe, Albin; Bernstetter, Armin; Chibane, Julian; Pfister, Jan; Tritscher, Julian; Hotho, Andreas. In {ACM} Transactions on Social Computing, Vol. 3, Issue 2, pp. 1–34. Association for Computing Machinery ({ACM}), 2020
    • Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I. Brefeld, Ulf; Fromont, Élisa; Hotho, Andreas; Knobbe, Arno J.; Maathuis, Marloes H.; Robardet, Céline. In Vol. 11906 of Lecture Notes in Computer Science. Springer, 2020
    • MapLUR: Exploring a New P...
      MapLUR: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images. Steininger, Michael; Kobs, Konstantin; Zehe, Albin; Lautenschlager, Florian; Becker, Martin; Hotho, Andreas. In ACM Trans. Spatial Algorithms Syst., Vol. 6, Issue 3. Association for Computing Machinery, New York, NY, USA, 2020
    • Anomaly Detection in Beeh...
      Anomaly Detection in Beehives using Deep Recurrent Autoencoders. Davidson, Padraig; Steininger, Michael; Lautenschlager, Florian; Kobs, Konstantin; Krause, Anna; Hotho, Andreas. In Proceedings of the 9th International Conference on Sensor Networks (SENSORNETS 2020), pp. 142–149. SCITEPRESS – Science and Technology Publications, Lda., 2020
    • Time Series Forecasting for Self-Aware Systems. {Bauer}, A.; {Züfle}, M.; {Herbst}, N.; {Zehe}, A.; {Hotho}, A.; {Kounev}, S. In Proceedings of the IEEE, pp. 1–26. 2020
    • Towards Predicting the Su...
      Towards Predicting the Subscription Status of Twitch.tv Users. Kobs, Konstantin; Potthast, Martin; Wiegmann, Matti; Zehe, Albin; Stein, Benno; Hotho, Andreas. In Proceedings of ECML-PKDD 2020 ChAT Discovery Challenge on Chat Analytics for Twitch. 2020
    • Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II. Brefeld, Ulf; Fromont, Élisa; Hotho, Andreas; Knobbe, Arno J.; Maathuis, Marloes H.; Robardet, Céline. In Vol. 11907 of Lecture Notes in Computer Science. Springer, 2020
    • The German and International AI Network Data Set. Stubbemann, Maximilian; Koopmann, Tobias. Zenodo, 2020
    2019[ to top ]
    • Classification of text-ty...
      Classification of text-types in german novels. Schlör, D; Schöch, C; Hotho, A. In Digital Humanities 2019: Conference Abstracts. 2019
    • Classification of text-ty...
      Classification of text-types in german novels. Schl{\"o}r, D; Sch{\"o}ch, C; Hotho, A. In Digital Humanities 2019: Conference Abstracts. 2019
    • EClaiRE: Context Matters!...
      EClaiRE: Context Matters! – Comparing Word Embeddings for Relation Classification. Hettinger, Lena; Zehe, Albin; Dallmann, Alexander; Hotho, Andreas. In INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft, K. David, K. Geihs, M. Lange, G. Stumme (eds.), pp. 191–204. Gesellschaft für Informatik e.V., Bonn, 2019
    • Solving Mathematical Exer...
      Solving Mathematical Exercises: Prediction of Students’ Success. Wankerl, Sebastian; Götz, Gerhard; Hotho, Andreas. In LWDA, Vol. 2454 of CEUR Workshop Proceedings, R. Jäschke, M. Weidlich (eds.), pp. 190–194. CEUR-WS.org, 2019
    • Detection of Scenes in Fi...
      Detection of Scenes in Fiction. Gius, Evelyn; Jannidis, Fotis; Krug, Markus; Zehe, Albin; Hotho, Andreas; Puppe, Frank; Krebs, Jonathan; Reiter, Nils; Wiedmer, Nathalie; Konle, Leonard. In Proceedings of Digital Humanities 2019. 2019
    • Flow-based network traffi...
      Flow-based network traffic generation using Generative Adversarial Networks. Ring, Markus; Schlör, Daniel; Landes, Dieter; Hotho, Andreas. In Computers & Security, Vol. 82, pp. 156–172. 2019
    • A survey of network-based intrusion detection data sets. Ring, Markus; Wunderlich, Sarah; Scheuring, Deniz; Landes, Dieter; Hotho, Andreas. In Comput. Secur., Vol. 86, pp. 147–167. 2019
    • Team Xenophilius Lovegood...
      Team Xenophilius Lovegood at SemEval-2019 Task 4: Hyperpartisanship Classification using Convolutional Neural Networks. Zehe, Albin; Hettinger, Lena; Ernst, Stefan; Hauptmann, Christian; Hotho, Andreas. In Proceedings of The 13th International Workshop on Semantic Evaluation. Association for Computational Linguistics, 2019
    • Comparison of System Call Representations for Intrusion Detection. Wunderlich, Sarah; Ring, Markus; Landes, Dieter; Hotho, Andreas. 2019
    • On the Right Track! Analy...
      On the Right Track! Analysing and Predicting Navigation Success in Wikipedia. Koopmann, Tobias; Dallmann, Alexander; Hettinger, Lena; Niebler, Thomas; Hotho, Andreas. In Proceedings of the 30th ACM Conference on Hypertext and Social Media, of HT ’19, pp. 143–152. ACM, Hof, Germany, 2019
    2018[ to top ]
    • ClaiRE at SemEval-2018 Ta...
      ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings. Hettinger, Lena; Dallmann, Alexander; Zehe, Albin; Niebler, Thomas; Hotho, Andreas. In Proceedings of International Workshop on Semantic Evaluation (SemEval-2018). New Orleans, LA, USA, 2018
    • Air Trails -- Urban Air Q...
      Air Trails -- Urban Air Quality Campaign Exploration Patterns. Becker, Martin; Lautenschlager, Florian; Hotho, Andreas. 2018
    • ClaiRE at SemEval-2018 Ta...
      ClaiRE at SemEval-2018 Task 7 - Extended Version. Hettinger, Lena; Dallmann, Alexander; Zehe, Albin; Niebler, Thomas; Hotho, Andreas. 2018
    • Burrows Zeta: Varianten u...
      Burrows Zeta: Varianten und Evaluation. Schöch, Christof; Calvo, José; Zehe, Albin; Hotho, Andreas. In DHd 2018. 2018
    • Healing Time Correlates W...
      Healing Time Correlates With the Quality of Scaring: Results From a Prospective Randomized Control Donor Site Trial. Werdin, Frank; Tenenhaus, Mayer; Becker, Martin; Rennekampff, Hans-Oliver. In Dermatologic Surgery, Vol. 44, Issue 4, pp. 521–527. LWW, 2018
    • Adaptive kNN Using Expect...
      Adaptive kNN Using Expected Accuracy for Classification of Geo-spatial Data. Kibanov, Mark; Becker, Martin; Müller, Juergen; Atzmüller, Martin; Hotho, Andreas; Stumme, Gerd. In Proceedings of the 33rd Annual ACM Symposium on Applied Computing, of SAC ’18, pp. 857–865. ACM, Pau, France, 2018
    • Big-Data Helps SDN to Improve Application Specific Quality of Service. Schwarzmann, Susanna; Blenk, Andreas; Dobrijevic, Ognjen; Jarschel, Michael; Hotho, Andreas; Zinner, Thomas; Wamser, Florian. In Big Data and Software Defined Networks. IET, 2018
    • Analysing Direct Speech i...
      Analysing Direct Speech in German Novels. Jannidis, Fotis; Konle, Leonard; Zehe, Albin; Hotho, Andreas; Krug, Markus. In DHd 2018. 2018
    • A White-Box Model for Det...
      A White-Box Model for Detecting Author Nationality by Linguistic Differences in Spanish Novels. Zehe, Albin; Schlör, Daniel; Henny-Krahmer, Ulrike; Becker, Martin; Hotho, Andreas. In DH. ADHO, 2018
    • EveryAware Gears: A Tool ...
      EveryAware Gears: A Tool to visualize and analyze all types of Citizen Science Data. Lautenschlager, Florian; Becker, Martin; Steininger, Michael; Hotho, Andreas. In Proceedings of VGI Geovisual Analytics Workshop, colocated with BDVA 2018, D. Burghardt, S. Chen, G. Andrienko, N. Andrienko, R. Purves, A. Diehl (eds.). KOPS, 2018
    • Accessing Information with Tags: Search and Ranking. Navarro Bullock, Beate; Hotho, Andreas; Stumme, Gerd. In Social Information Access: Systems and Technologies, P. Brusilovsky, D. He (eds.), pp. 310–343. Springer International Publishing, Cham, 2018
    • Detection of slow port scans in flow-based network traffic. Ring, Markus; Landes, Dieter; Hotho, Andreas. In PLOS ONE, Vol. 13, Issue 9, pp. 1–18. Public Library of Science, 2018
    • Burrows’ Zeta: Exploring and Evaluating Variants and Parameters. Schöch, Christof; Schlör, Daniel; Zehe, Albin; Gebhard, Henning; Becker, Martin; Hotho, Andreas. In DH, pp. 274–277. 2018
    • Flow-based Network Traffi...
      Flow-based Network Traffic Generation using Generative Adversarial Networks. Ring, Markus; Schlör, Daniel; Landes, Dieter; Hotho, Andreas. In CoRR, Vol. abs/1810.07795. 2018
    • pysubgroup: Easy-to-Use S...
      pysubgroup: Easy-to-Use Subgroup Discovery in Python. Lemmerich, Florian; Becker, Martin. In ECML/PKDD (3), Vol. 11053 of Lecture Notes in Computer Science, U. Brefeld, E. Curry, E. Daly, B. MacNamee, A. Marascu, F. Pinelli, M. Berlingerio, N. Hurley (eds.), pp. 658–662. Springer, 2018
    2017[ to top ]
    • Experimental Assessment o...
      Experimental Assessment of the Emergence of Awareness and Its Influence on Behavioral Changes: The Everyaware Lesson. Gravino, Pietro; S{\^\i}rbu, Alina; Becker, Martin; Servedio, Vito DP; Loreto, Vittorio. In Participatory Sensing, Opinions and Collective Awareness, pp. 337–362. Springer, 2017
    • Applications for Environm...
      Applications for Environmental Sensing in EveryAware. Atzmueller, Martin; Becker, Martin; Molino, Andrea; Mueller, Juergen; Peters, Jan; S{\^\i}rbu, Alina. In Participatory Sensing, Opinions and Collective Awareness, pp. 135–155. Springer, 2017