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 ]
    • Modeling and Analyzing th...
      Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction. Fischer, Elisabeth; Schlör, Daniel; Zehe, Albin; Hotho, Andreas. 2024, October
    • CompTrails: comparing hyp...
      CompTrails: comparing hypotheses across behavioral networks. Koopmann, Tobias; Becker, Martin; Lemmerich, Florian; Hotho, Andreas. In Data Mining and Knowledge Discovery. 2024
    • {S}uper{GLEB}er: {G}erman...
      {S}uper{GLEB}er: {G}erman Language Understanding Evaluation Benchmark. Pfister, Jan; Hotho, Andreas. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), K. Duh, H. Gomez, S. Bethard (eds.), pp. 7897–7916. Association for Computational Linguistics, Mexico City, Mexico, 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
    • From Chat to Publication ...
      From Chat to Publication Management: Organizing your related work using BibSonomy \& LLMs. V\"{o}lker, Tom; Pfister, Jan; Koopmann, Tobias; Hotho, Andreas. In Proceedings of the 2024 Conference on Human Information Interaction and Retrieval, of CHIIR ’24, pp. 386–390. Association for Computing Machinery, <conf-loc>, <city>Sheffield</city>, <country>United Kingdom</country>, </conf-loc>, 2024
    • Global Vegetation Modelin...
      Global Vegetation Modeling with Pre-Trained Weather Transformers. Janetzky, Pascal; Gallusser, Florian; Hentschel, Simon; Hotho, Andreas; Krause, Anna. 2024
    • Data Generation for Expla...
      Data Generation for Explainable Occupational Fraud Detection. Tritscher, Julian; Wolf, Maximilian; Krause, Anna; Hotho, Andreas; Schlör, Daniel. In 47th German Conference on Artificial Intelligence (KI 2024) - to appear. 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
    • Generative Inpainting for...
      Generative Inpainting for Shapley-Value-Based Anomaly Explanation. Tritscher, Julian; Lissmann, Philip; Wolf, Maximilian; Krause, Anna; Hotho, Andreas; Schlör, Daniel. In The World Conference on eXplainable Artificial Intelligence (xAI 2024) - to appear. 2024
    • From Chat to Publication ...
      From Chat to Publication Management: Organizing your related work using BibSonomy & LLMs. Völker, Tom; Pfister, Jan; Koopmann, Tobias; Hotho, Andreas. In Proceedings of the 2024 Conference on Human Information Interaction and Retrieval, of CHIIR ’24, pp. 386–390. Association for Computing Machinery, <conf-loc>, <city>Sheffield</city>, <country>United Kingdom</country>, </conf-loc>, 2024
    • Pollice Verso at SemEval-...
      Pollice Verso at SemEval-2024 Task 6: The Roman Empire Strikes Back. Kobs, Konstantin; Pfister, Jan; Hotho, Andreas. In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), A. K. Ojha, A. S. Do{\u{g}}ru\"oz, H. Tayyar Madabushi, G. Da San Martino, S. Rosenthal, A. Ros\’a (eds.), pp. 1529–1536. Association for Computational Linguistics, Mexico City, Mexico, 2024
    • {O}tterly{O}bsessed{W}ith...
      {O}tterly{O}bsessed{W}ith{S}emantics at {S}em{E}val-2024 Task 4: Developing a Hierarchical Multi-Label Classification Head for Large Language Models. Wunderle, Julia; Schubert, Julian; Cacciatore, Antonella; Zehe, Albin; Pfister, Jan; Hotho, Andreas. In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), A. K. Ojha, A. S. Do{\u{g}}ru{\"o}z, H. Tayyar Madabushi, G. Da San Martino, S. Rosenthal, A. Ros{\’a} (eds.), pp. 602–612. Association for Computational Linguistics, Mexico City, Mexico, 2024
    2023[ to top ]
    • Enhancing Sequential Next...
      Enhancing Sequential Next-Item Prediction through Modelling Non-Item Pages. Fischer, Elisabeth; Schlör, Daniel; Zehe, Albin; Hotho, Andreas. 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
    • 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
    • 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
    • Can Neural Networks Disti...
      Can Neural Networks Distinguish High-school Level Mathematical Concepts?. Wankerl, Sebastian; Dulny, Andrzej; Goetz, Gerhard; Hotho, Andreas. In ICDM. 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
    • TaylorPDENet: Learning PD...
      TaylorPDENet: Learning PDEs from non-grid Data. Heinisch, Paul; Dulny, Andrzej; Krause, Anna; Hotho, Andreas. 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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). 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
    • 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. 2023
    • Can Neural Networks Distinguish High-school Level Mathematical Concepts?. Wankerl, Sebastian; Dulny, Andrzej; Götz, Gerhard; Hotho, Andreas. In Accepted at ICDM. 2023
    2022[ to top ]
    • On Background Bias in Deep Metric Learning. Kobs, Konstantin; Hotho, Andreas. In CoRR, Vol. abs/2210.01615. 2022
    • CLIP knows image aesthetics. Hentschel, Simon; Kobs, Konstantin; Hotho, Andreas. In Frontiers in artificial intelligence, Vol. 5, p. 976235. 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • InDiReCT: Language-Guided...
      InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images. Kobs, Konstantin; Steininger, Michael; Hotho, Andreas. 2022
    • Detecting Anomalies in Tr...
      Detecting Anomalies in Transaction Data. Technical Report (PhD dissertation), . Schlör, Daniel. PhD dissertation. Universität Würzburg, 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
    • 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. Schlör, Daniel; Hotho, Andreas. 2022
    • Towards Responsible Medical Diagnostics Recommendation Systems. Schl{\"{o}}r, Daniel; Hotho, Andreas. In CoRR, Vol. abs/2209.03760. 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
    • 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
    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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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 ]
    • 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; 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
    • 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 Foundations of Intelligent Systems, D. Helic, G. Leitner, M. Stettinger, A. Felfernig, Z. W. Raś (eds.), pp. 422–430. Springer International Publishing, Cham, 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • SimLoss: Class Similariti...
      SimLoss: Class Similarities in Cross Entropy. Kobs, Konstantin; Steininger, Michael; Zehe, Albin; Lautenschlager, Florian; Hotho, Andreas. 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • The German and International AI Network Data Set. Stubbemann, Maximilian; Koopmann, Tobias. Zenodo, 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
    • 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
    • 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
    • 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
    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
    • 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
    • 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
    • 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
    • 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
    • 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 ]
    • 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
    • Air Trails -- Urban Air Q...
      Air Trails -- Urban Air Quality Campaign Exploration Patterns. Becker, Martin; Lautenschlager, Florian; Hotho, Andreas. 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
    • 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