piwik-script

Intern
    Data Science Chair

    Publications

    2022[ to top ]
    • {LSX} team5 at {S}em{E}va...
      Heil, S., Kopp, K., Zehe, A., Kobs, K., Hotho, A.: {LSX} team5 at {S}em{E}val-2022 Task 8: Multilingual News Article Similarity Assessment based on Word- and Sentence Mover{’}s Distance. Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022). pp. 1190–1195. Association for Computational Linguistics, Seattle, United States (2022).
    • Point me to your Opinion,...
      Pfister, J., Wankerl, S., Hotho, A.: Point me to your Opinion, {S}en{P}oi. Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022). pp. 1313–1323. Association for Computational Linguistics, Seattle, United States (2022).
    • Semi-unsupervised Learnin...
      Davidson, P., Steininger, M., Huhn, A., Krause, A., Hotho, A.: Semi-unsupervised Learning for Time Series Classification. Milets@KDD. (2022).
    • Open ERP System Data For ...
      Tritscher, J., Gwinner, F., Schlör, D., Krause, A., Hotho, A.: Open ERP System Data For Occupational Fraud Detection. arxiv. (2022).
    • {W}ue{D}evils at {S}em{E}...
      Wangsadirdja, D., Heinickel, F., Trapp, S., Zehe, A., Kobs, K., Hotho, A.: {W}ue{D}evils at {S}em{E}val-2022 Task 8: Multilingual News Article Similarity via Pair-Wise Sentence Similarity Matrices. Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022). pp. 1235–1243. Association for Computational Linguistics, Seattle, United States (2022).
    2021[ to top ]
    • Buckermann, F., Klement, N., Beyer, O., Hütten, A., Hammer, B.: Automating the optical identification of abrasive wear on electrical contact pins. at - Automatisierungstechnik. 69, 903–914 (2021).
    • Anomaly Detection in Beeh...
      Davidson, P., Steininger, M., Lautenschlager, F., Krause, A., Hotho, A.: Anomaly Detection in Beehives: An Algorithm Comparison, (2021).
    • Shared Task on Scene Segm...
      Zehe, A., Konle, L., Guhr, S., Dümpelmann, L., Gius, E., Hotho, A., Jannidis, F., Kaufmann, L., Krug, M., Puppe, F., Reiter, N., Schreiber, A.: Shared Task on Scene Segmentation @ KONVENS 2021. Shared Task on Scene Segmentation @ KONVENS 2021. pp. 1–21 (2021).
    • DETECTING PRESENCE OF SPE...
      Janetzky, P., Davidson, P., Steininger, M., Krause, A., Hotho, A.: DETECTING PRESENCE OF SPEECH IN ACOUSTIC DATA OBTAINED FROM BEEHIVES. DCASE Workshop. (2021).
    • CoBERT: Scientific Collab...
      Koopmann, T., Kobs, K., Herud, K., Hotho, A.: CoBERT: Scientific Collaboration Prediction via Sequential Recommendation. 2021 International Conference on Data Mining Workshops (ICDMW). pp. 45–54 (2021).
    • Dallmann, A., Kohlmann, J., Zoller, D., Hotho, A.: Sequential Item Recommendation in the MOBA Game Dota 2. 2021 International Conference on Data Mining Workshops (ICDMW). pp. 10–17 (2021).
    • Hotho, A., Blomqvist, E., Dietze, S., Fokoue, A., Ding, Y., Barnaghi, P.M., Haller, A., Dragoni, M., Alani, H. eds.: The Semantic Web - {ISWC} 2021 - 20th International Semantic Web Conference, {ISWC} 2021, Virtual Event, October 24-28, 2021, Proceedings. Springer (2021).
    • Dulny, A., Hotho, A., Krause, A.: NeuralPDE: Modelling Dynamical Systems from Data, http://arxiv.org/abs/2111.07671, (2021).
    • The {F}airy{N}et Corpus -...
      Schmidt, D., Zehe, A., Lorenzen, J., Sergel, L., D{\"u}ker, S., Krug, M., Puppe, F.: The {F}airy{N}et Corpus - Character Networks for {G}erman Fairy Tales. 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).
    • Davidson, P., Buckermann, F., Steininger, M., Krause, A., Hotho, A.: Semi-unsupervised Learning: An In-depth Parameter Analysis. In: Edelkamp, S., M{\"o}ller, R., and Rueckert, E. (eds.) KI 2021: Advances in Artificial Intelligence. pp. 51–66. Springer International Publishing, Cham (2021).
    • Ring, M., Schlör, D., Wunderlich, S., Landes, D., Hotho, A.: Malware detection on windows audit logs using LSTMs. Computers & Security. 109, 102389 (2021).
    • A Case Study on Sampling ...
      Dallmann, A., Zoller, D., Hotho, A.: A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models. Fifteenth {ACM} Conference on Recommender Systems. {ACM} (2021).
    • Detecting Scenes in Ficti...
      Zehe, A., Konle, L., Dümpelmann, L., Gius, E., Hotho, A., Jannidis, F., Kaufmann, L., Krug, M., Puppe, F., Reiter, N., Schreiber, A., Wiedmer, N.: Detecting Scenes in Fiction: A new Segmentation Task. 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 ...
      Kobs, K., Steininger, M., Dulny, A., Hotho, A.: Do Different Deep Metric Learning Losses Lead to Similar Learned Features?. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV). 10644–10654 (2021).
    • Evaluating the multi-task...
      Dulny, A., Steininger, M., Lautenschlager, F., Krause, A., Hotho, A.: Evaluating the multi-task learning approach for land use regression modelling of air pollution. Journal of Physics: Conference Series. 1834, 012004 (2021).
    • A financial game with opp...
      Tritscher, J., Krause, A., Schl{\"o}r, D., Gwinner, F., von Mammen, S., Hotho, A.: A financial game with opportunities for fraud. IEE COG 2021. 2021, (2021).
    • Comparison of Transformer...
      Fischer, E., Zoller, D., Hotho, A.: Comparison of Transformer-Based Sequential Product Recommendation Models for the Coveo Data Challenge. SIGIR Workshop On eCommerce. (2021).
    • Density-based weighting f...
      Steininger, M., Kobs, K., Davidson, P., Krause, A., Hotho, A.: Density-based weighting for imbalanced regression. Machine Learning. (2021).
    • Semi-Supervised Learning ...
      Kobs, K., Schäfer, C., Steininger, M., Krause, A., Baumhauer, R., Paeth, H., Hotho, A.: Semi-Supervised Learning for Grain Size Distribution Interpolation. Pattern Recognition. ICPR International Workshops and Challenges: Virtual Event, January 10--15, 2021, Proceedings, Part VI. pp. 34–44. Springer International Publishing (2021).
    • Self-Supervised Multi-Tas...
      Pfister, J., Kobs, K., Hotho, A.: Self-Supervised Multi-Task Pretraining Improves Image Aesthetic Assessment. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. pp. 816–825 (2021).
    • Assessing Media Bias in C...
      Sales, A., Zehe, A., Marinho, L.B., Veloso, A., Hotho, A., Omeliyanenko, J.: Assessing Media Bias in Cross-Linguistic and Cross-National Populations. Proceedings of the International AAAI Conference on Web and Social Media. 15, 561–572 (2021).
    • Proximity dimensions and ...
      Koopmann, T., Stubbemann, M., Kapa, M., Paris, M., Buenstorf, G., Hanika, T., Hotho, A., Jäschke, R., Stumme, G.: Proximity dimensions and the emergence of collaboration: a HypTrails study on German AI research. Scientometrics. (2021).
    • Wankerl, S., Dulny, A., Götz, G., Hotho, A.: Learning Mathematical Relations Using Deep Tree Models. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). pp. 1681–1687 (2021).
    2020[ to top ]
    • HarryMotions – Classify...
      Zehe, A., Arns, J., Hettinger, L., Hotho, A.: HarryMotions – Classifying Relationships in Harry Potter based on Emotion Analysis. 5th SwissText & 16th KONVENS Joint Conference (2020).
    • NICER — Aesthetic Image...
      Fischer, M., Kobs, K., Hotho, A.: NICER — Aesthetic Image Enhancement with Humans in the Loop. ACHI 2020: The Thirteenth International Conference on Advances in Computer-Human Interactions. pp. 357–362 (2020).
    • Brefeld, U., Fromont, Élisa, Hotho, A., Knobbe, A.J., Maathuis, M.H., Robardet, C. eds.: Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II. Springer (2020).
    • Brefeld, U., Fromont, Élisa, Hotho, A., Knobbe, A.J., Maathuis, M.H., Robardet, C. eds.: Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part III. Springer (2020).
    • Brefeld, U., Fromont, Élisa, Hotho, A., Knobbe, A.J., Maathuis, M.H., Robardet, C. eds.: Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I. Springer (2020).
    • Tritscher, J., Ring, M., Schlr, D., Hettinger, L., Hotho, A.: Evaluation of Post-hoc XAI Approaches Through Synthetic Tabular Data. In: Helic, D., Leitner, G., Stettinger, M., Felfernig, A., and Ra{\’{s}}, Z.W. (eds.) Foundations of Intelligent Systems. pp. 422–430. Springer International Publishing, Cham (2020).
    • Deep Learning for Climate...
      Steininger, M., Abel, D., Ziegler, K., Krause, A., Paeth, H., Hotho, A.: Deep Learning for Climate Model Output Statistics. Tackling Climate Change with Machine Learning Workshop at NeurIPS 2020. (2020).
    • Towards Predicting the Su...
      Kobs, K., Potthast, M., Wiegmann, M., Zehe, A., Stein, B., Hotho, A.: Towards Predicting the Subscription Status of Twitch.tv Users. Proceedings of ECML-PKDD 2020 ChAT Discovery Challenge on Chat Analytics for Twitch. (2020).
    • Where to Submit? Helping ...
      Kobs, K., Koopmann, T., Zehe, A., Fernes, D., Krop, P., Hotho, A.: Where to Submit? Helping Researchers to Choose the Right Venue. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings. pp. 878–883. Association for Computational Linguistics, Online (2020).
    • Stubbemann, M., Koopmann, T.: The German and International AI Network Data Set. (2020).
    • Evaluating the multi-task...
      Dulny, A., Steininger, M., Lautenschlager, F., Krause, A., Hotho, A.: Evaluating the multi-task learning approach for land use regression modelling of air pollution. International Conference on Frontiers of Artificial Intelligence and Machine Learning. IASED (2020).
    • Financial Fraud Detection...
      Schlör, D., Ring, M., Krause, A., Hotho, A.: Financial Fraud Detection with Improved Neural Arithmetic Logic Units. (2020).
    • Improving Sentiment Analy...
      Schl{\"o}r, D., Zehe, A., Kobs, K., Veseli, B., Westermeier, F., Br{\"u}bach, L., Roth, D., Latoschik, M.E., Hotho, A.: Improving Sentiment Analysis with Biofeedback Data. Proceedings of LREC2020 Workshop ``People in language, vision and the mind’’ (ONION2020). pp. 28–33. European Language Resources Association (ELRA), Marseille, France (2020).
    • Kobs, K., Zehe, A., Bernstetter, A., Chibane, J., Pfister, J., Tritscher, J., Hotho, A.: Emote-Controlled: Obtaining Implicit Viewer Feedback through Emote based Sentiment Analysis on Comments of Popular Twitch.tv Channels. {ACM} Transactions on Social Computing. 3, 1–34 (2020).
    • LM4KG: Improving Common S...
      Omeliyanenko, J., Zehe, A., Hettinger, L., Hotho, A.: LM4KG: Improving Common Sense Knowledge Graphs with Language Models. International Semantic Web Conference. Springer (2020).
    • Emote-Controlled: Obtaini...
      Kobs, K., Zehe, A., Bernstetter, A., Chibane, J., Pfister, J., Tritscher, J., Hotho, A.: Emote-Controlled: Obtaining Implicit Viewer Feedback through Emote based Sentiment Analysis on Comments of Popular Twitch.tv Channels. ACM Transactions on Social Computing. (2020).
    • Anomaly Detection in Beeh...
      Davidson, P., Steininger, M., Lautenschlager, F., Kobs, K., Krause, A., Hotho, A.: Anomaly Detection in Beehives using Deep Recurrent Autoencoders. Proceedings of the 9th International Conference on Sensor Networks (SENSORNETS 2020). pp. 142–149. SCITEPRESS – Science and Technology Publications, Lda (2020).
    • SimLoss: Class Similariti...
      Kobs, K., Steininger, M., Zehe, A., Lautenschlager, F., Hotho, A.: SimLoss: Class Similarities in Cross Entropy, http://arxiv.org/abs/2003.03182, (2020).
    • MapLUR: Exploring a New P...
      Steininger, M., Kobs, K., Zehe, A., Lautenschlager, F., Becker, M., Hotho, A.: MapLUR: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images. ACM Trans. Spatial Algorithms Syst. 6, (2020).
    • OpenLUR: Off-the-shelf ai...
      Lautenschlager, F., Becker, M., Kobs, K., Steininger, M., Davidson, P., Krause, A., Hotho, A.: OpenLUR: Off-the-shelf air pollution modeling with open features and machine learning. Atmospheric Environment. 233, 117535 (2020).
    • Evaluation of post-hoc XA...
      Tritscher, J., Ring, M., Schlör, D., Hettinger, L., Hotho, A.: Evaluation of post-hoc XAI approaches through synthetic tabular data. International Symposium on Methodologies for Intelligent Systems. (2020).
    • {Bauer}, A., {Züfle}, M., {Herbst}, N., {Zehe}, A., {Hotho}, A., {Kounev}, S.: Time Series Forecasting for Self-Aware Systems. Proceedings of the IEEE. 1–26 (2020).
    • Smartwatch-Derived Data a...
      Davidson, P., Düking, P., Zinner, C., Sperlich, B., Hotho, A.: Smartwatch-Derived Data and Machine Learning Algorithms Estimate Classes of Ratings of Perceived Exertion in Runners: A Pilot Study. Sensors. (2020).
    • Improving Sentiment Analy...
      Schlör, D., Zehe, A., Kobs, K., Veseli, B., Westermeier, F., Brübach, L., Roth, D., Latoschik, M.E., Hotho, A.: Improving Sentiment Analysis with Biofeedback Data. Proceedings of the Workshop on peOple in laNguage, vIsiOn and the miNd (ONION) (2020).
    • Integrating Keywords into...
      Fischer, E., Zoller, D., Dallmann, A., Hotho, A.: Integrating Keywords into BERT4Rec for Sequential Recommendation. KI 2020: Advances in Artificial Intelligence (2020).
    • iNALU: Improved Neural Ar...
      Schlör, D., Ring, M., Hotho, A.: iNALU: Improved Neural Arithmetic Logic Unit. Frontiers in Artificial Intelligence. 3, 71 (2020).
    2019[ to top ]
    • On the Right Track! Analy...
      Koopmann, T., Dallmann, A., Hettinger, L., Niebler, T., Hotho, A.: On the Right Track! Analysing and Predicting Navigation Success in Wikipedia. Proceedings of the 30th ACM Conference on Hypertext and Social Media. pp. 143–152. ACM, Hof, Germany (2019).
    • Team Xenophilius Lovegood...
      Zehe, A., Hettinger, L., Ernst, S., Hauptmann, C., Hotho, A.: Team Xenophilius Lovegood at SemEval-2019 Task 4: Hyperpartisanship Classification using Convolutional Neural Networks. Proceedings of The 13th International Workshop on Semantic Evaluation. Association for Computational Linguistics (2019).
    • Flow-based network traffi...
      Ring, M., Schlör, D., Landes, D., Hotho, A.: Flow-based network traffic generation using Generative Adversarial Networks. Computers & Security. 82, 156–172 (2019).
    • Detection of Scenes in Fi...
      Gius, E., Jannidis, F., Krug, M., Zehe, A., Hotho, A., Puppe, F., Krebs, J., Reiter, N., Wiedmer, N., Konle, L.: Detection of Scenes in Fiction. Proceedings of Digital Humanities 2019 (2019).
    • EClaiRE: Context Matters!...
      Hettinger, L., Zehe, A., Dallmann, A., Hotho, A.: EClaiRE: Context Matters! – Comparing Word Embeddings for Relation Classification. In: David, K., Geihs, K., Lange, M., and Stumme, G. (eds.) INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft. pp. 191–204. Gesellschaft für Informatik e.V., Bonn (2019).
    • Ring, M., Wunderlich, S., Scheuring, D., Landes, D., Hotho, A.: A survey of network-based intrusion detection data sets. Comput. Secur. 86, 147–167 (2019).
    • Solving Mathematical Exer...
      Wankerl, S., Götz, G., Hotho, A.: Solving Mathematical Exercises: Prediction of Students’ Success. In: Jäschke, R. and Weidlich, M. (eds.) LWDA. pp. 190–194. CEUR-WS.org (2019).
    • Wunderlich, S., Ring, M., Landes, D., Hotho, A.: Comparison of System Call Representations for Intrusion Detection. (2019).
    2018[ to top ]
    • Burrows Zeta: Varianten u...
      Schöch, C., Calvo, J., Zehe, A., Hotho, A.: Burrows Zeta: Varianten und Evaluation. DHd 2018 (2018).
    • Navarro Bullock, B., Hotho, A., Stumme, G.: Accessing Information with Tags: Search and Ranking. In: Brusilovsky, P. and He, D. (eds.) Social Information Access: Systems and Technologies. pp. 310–343. Springer International Publishing, Cham (2018).
    • Analysing Direct Speech i...
      Jannidis, F., Konle, L., Zehe, A., Hotho, A., Krug, M.: Analysing Direct Speech in German Novels. DHd 2018 (2018).
    • ClaiRE at SemEval-2018 Ta...
      Hettinger, L., Dallmann, A., Zehe, A., Niebler, T., Hotho, A.: ClaiRE at SemEval-2018 Task 7 - Extended Version, http://arxiv.org/abs/1804.05825, (2018).
    • A White-Box Model for Det...
      Zehe, A., Schlör, D., Henny-Krahmer, U., Becker, M., Hotho, A.: A White-Box Model for Detecting Author Nationality by Linguistic Differences in Spanish Novels. DH. ADHO (2018).
    • ClaiRE at SemEval-2018 Ta...
      Hettinger, L., Dallmann, A., Zehe, A., Niebler, T., Hotho, A.: ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings. Proceedings of International Workshop on Semantic Evaluation (SemEval-2018). , New Orleans, LA, USA (2018).
    • Healing Time Correlates W...
      Werdin, F., Tenenhaus, M., Becker, M., Rennekampff, H.-O.: Healing Time Correlates With the Quality of Scaring: Results From a Prospective Randomized Control Donor Site Trial. Dermatologic Surgery. 44, 521–527 (2018).
    • Schwarzmann, S., Blenk, A., Dobrijevic, O., Jarschel, M., Hotho, A., Zinner, T., Wamser, F.: Big-Data Helps SDN to Improve Application Specific Quality of Service. Big Data and Software Defined Networks. IET (2018).
    • pysubgroup: Easy-to-Use S...
      Lemmerich, F., Becker, M.: pysubgroup: Easy-to-Use Subgroup Discovery in Python. In: Brefeld, U., Curry, E., Daly, E., MacNamee, B., Marascu, A., Pinelli, F., Berlingerio, M., and Hurley, N. (eds.) ECML/PKDD (3). pp. 658–662. Springer (2018).
    • Adaptive kNN Using Expect...
      Kibanov, M., Becker, M., Müller, J., Atzmüller, M., Hotho, A., Stumme, G.: Adaptive kNN Using Expected Accuracy for Classification of Geo-spatial Data. Proceedings of the 33rd Annual ACM Symposium on Applied Computing. pp. 857–865. ACM, Pau, France (2018).
    • EveryAware Gears: A Tool ...
      Lautenschlager, F., Becker, M., Steininger, M., Hotho, A.: EveryAware Gears: A Tool to visualize and analyze all types of Citizen Science Data. In: Burghardt, D., Chen, S., Andrienko, G., Andrienko, N., Purves, R., and Diehl, A. (eds.) Proceedings of VGI Geovisual Analytics Workshop, colocated with BDVA 2018. KOPS (2018).
    • Air Trails -- Urban Air Q...
      Becker, M., Lautenschlager, F., Hotho, A.: Air Trails -- Urban Air Quality Campaign Exploration Patterns. (2018).
    • Ring, M., Schlör, D., Landes, D., Hotho, A.: Flow-based Network Traffic Generation using Generative Adversarial Networks. CoRR. abs/1810.07795, (2018).
    • Ring, M., Landes, D., Hotho, A.: Detection of slow port scans in flow-based network traffic. PLOS ONE. 13, 1–18 (2018).
    • Schöch, C., Schlör, D., Zehe, A., Gebhard, H., Becker, M., Hotho, A.: Burrows’ Zeta: Exploring and Evaluating Variants and Parameters. DH. pp. 274–277 (2018).
    2017[ to top ]
    • MixedTrails: Bayesian hyp...
      Becker, M., Lemmerich, F., Singer, P., Strohmaier, M., Hotho, A.: MixedTrails: Bayesian hypothesis comparison on heterogeneous sequential data. Data Mining and Knowledge Discovery. (2017).
    • Applications for Environm...
      Atzmueller, M., Becker, M., Molino, A., Mueller, J., Peters, J., S{\^\i}rbu, A.: Applications for Environmental Sensing in EveryAware. Participatory Sensing, Opinions and Collective Awareness. pp. 135–155. Springer (2017).
    • Flow-based benchmark data...
      Ring, M., Wunderlich, S., Gr{\"u}dl, D., Landes, D., Hotho, A.: Flow-based benchmark data sets for intrusion detection. Proceedings of the 16th European Conference on Cyber Warfare and Security. pp. 361–369 (2017).
    • Comparing Hypotheses Abou...
      Lemmerich, F., Singer, P., Becker, M., Espin-Noboa, L., Dimitrov, D., Helic, D., Hotho, A., Strohmaier, M.: Comparing Hypotheses About Sequential Data: A Bayesian Approach and Its Applications. Joint European Conference on Machine Learning and Knowledge Discovery in Databases. pp. 354–357. Springer (2017).
    • IP2Vec: Learning Similari...
      Ring, M., Landes, D., Dallmann, A., Hotho, A.: IP2Vec: Learning Similarities Between IP Addresses. 2017 IEEE International Conference on Data Mining Workshops (ICDMW). 657–666 (2017).
    • Neutralising the Authoria...
      Tello, J.C., Schlör, D., Henny-Krahmer, U., Schöch, C.: Neutralising the Authorial Signal in Delta by Penalization: Stylometric Clustering of Genre in Spanish Novels. In: Lewis, R., Raynor, C., Forest, D., Sinatra, M., and Sinclair, S. (eds.) DH. Alliance of Digital Humanities Organizations (ADHO) (2017).
    • Creation of Flow-Based Da...
      Ring, M., Wunderlich, S., Grüdl, D., Landes, D., Hotho, A.: Creation of Flow-Based Data Sets for Intrusion Detection. Journal of Information Warfare. 16, 41–54 (2017).
    • Participatory sensing, op...
      Loreto, V., Haklay, M., Hotho, A., Servedio, V.C.P., Stumme, G., Theunis, J., Tria, F. eds.: Participatory sensing, opinions and collective awareness. Springer (2017).
    • A Toolset for Intrusion a...
      Ring, M., Wunderlich, S., Gr{\"u}dl, D., Landes, D., Hotho, A.: A Toolset for Intrusion and Insider Threat Detection. In: Palomares Carrascosa, I., Kalutarage, H.K., and Huang, Y. (eds.) Data Analytics and Decision Support for Cybersecurity: Trends, Methodologies and Applications. pp. 3–31. Springer International Publishing, Cham (2017).
    • Learning Semantic Related...
      Niebler, T., Becker, M., Pölitz, C., Hotho, A.: Learning Semantic Relatedness from Human Feedback Using Relative Relatedness Learning. ISWC’17 (2017).
    • Learning Semantic Related...
      Niebler, T., Becker, M., Pölitz, C., Hotho, A.: Learning Semantic Relatedness From Human Feedback Using Metric Learning, http://arxiv.org/abs/1705.07425, (2017).
    • Leveraging User-Interacti...
      Zoller, D., Doerfel, S., Pölitz, C., Hotho, A.: Leveraging User-Interactions for Time-Aware Tag Recommendations. Proceedings of the Workshop on Temporal Reasoning in Recommender Systems (2017).
    • Sedentary Behavior among ...
      Sperlich, B., Becker, M., Hotho, A., Wallmann-Sperlich, B., Sareban, M., Winkert, K., Steinacker, J.M., Treff, G.: Sedentary Behavior among National Elite Rowers during Off-Training—A Pilot Study. Frontiers in Physiology. 8, 655 (2017).
    • Collective Sensing Platfo...
      Atzmueller, M., Becker, M., Mueller, J.: Collective Sensing Platforms. Participatory Sensing, Opinions and Collective Awareness. pp. 115–133. Springer (2017).
    • Mining social semantics o...
      Hotho, A., Jaeschke, R., Lerman, K.: Mining social semantics on the social web. Semantic Web. 8, 623–624 (2017).
    • Singer, P., Helic, D., Hotho, A., Strohmaier, M.: A Bayesian Method for Comparing Hypotheses About Human Trails. ACM Trans. Web. 11, 14:1–14:29 (2017).
    • Experimental Assessment o...
      Gravino, P., S{\^\i}rbu, A., Becker, M., Servedio, V.D., Loreto, V.: Experimental Assessment of the Emergence of Awareness and Its Influence on Behavioral Changes: The Everyaware Lesson. Participatory Sensing, Opinions and Collective Awareness. pp. 337–362. Springer (2017).
    • Learning Word Embeddings ...
      Niebler, T., Hahn, L., Hotho, A.: Learning Word Embeddings from Tagging Data: A methodological comparison. Proceedings of the LWDA (2017).
    • Eleven-Week Preparation I...
      Treff, G., Winkert, K., Sareban, M., Steinacker, J.M., Becker, M., Sperlich, B.: Eleven-Week Preparation Involving Polarized Intensity Distribution Is Not Superior to Pyramidal Distribution in National Elite Rowers. Frontiers in Physiology. 8, 515 (2017).
    • Towards Sentiment Analysi...
      Zehe, A., Becker, M., Jannidis, F., Hotho, A.: Towards Sentiment Analysis on German Literature. Presented at the (2017).
    • Improving Session Recomme...
      Dallmann, A., Grimm, A., Pölitz, C., Zoller, D., Hotho, A.: Improving Session Recommendation with Recurrent Neural Networks by Exploiting Dwell Time. CoRR. abs/1706.10231, (2017).
    2016[ to top ]
    • Posted, Visited, Exported...
      Zoller, D., Doerfel, S., Jäschke, R., Stumme, G., Hotho, A.: Posted, Visited, Exported: Altmetrics in the Social Tagging System BibSonomy. Journal of Informetrics. 10, 732–749 (2016).
    • Comparison of non-invasiv...
      Düking, P., Hotho, A., Fuss, F.K., Holmberg, H.-C., Sperlich, B.: Comparison of non-invasive individual monitoring of the training and health of athletes with commercially available wearable technologies. Frontiers in Physiology. 7, (2016).
    • Extracting Semantics from...
      Niebler, T., Schlör, D., Becker, M., Hotho, A.: Extracting Semantics from Unconstrained Navigation on Wikipedia. KI. 30, 163–168 (2016).
    • What Users Actually do in...
      Doerfel, S., Zoller, D., Singer, P., Niebler, T., Hotho, A., Strohmaier, M.: What Users Actually do in a Social Tagging System: A Study of User Behavior in BibSonomy. ACM Transactions on the Web. 10, 14:1–14:32 (2016).
    • Significance Testing for ...
      Hettinger, L., Jannidis, F., Reger, I., Hotho, A.: Significance Testing for the Classification of Literary Subgenres. DH 2016 (2016).
    • Classification of Literar...
      Hettinger, L., Jannidis, F., Reger, I., Hotho, A.: Classification of Literary Subgenres. DHd 2016 (2016).
    • Prediction of Happy Endin...
      Zehe, A., Becker, M., Hettinger, L., Hotho, A., Reger, I., Jannidis, F.: Prediction of Happy Endings in German Novels. In: Cellier, P., Charnois, T., Hotho, A., Matwin, S., Moens, M.-F., and Toussaint, Y. (eds.) Proceedings of the Workshop on Interactions between Data Mining and Natural Language Processing 2016. pp. 9–16 (2016).
    • Extracting Semantics from...
      Dallmann, A., Niebler, T., Lemmerich, F., Hotho, A.: Extracting Semantics from Random Walks on Wikipedia: Comparing learning and counting methods. In: West, R., Zia, L., Taraborelli, D., and Leskovec, J. (eds.) Wiki Workshop@ICWSM (2016).
    • SparkTrails: A MapReduce ...
      Becker, M., Mewes, H., Hotho, A., Dimitrov, D., Lemmerich, F., Strohmaier, M.: SparkTrails: A MapReduce Implementation of HypTrails for Comparing Hypotheses About Human Trails. In: Bourdeau, J., Hendler, J., Nkambou, R., Horrocks, I., and Zhao, B.Y. (eds.) WWW (Companion Volume). pp. 17–18. ACM (2016).
    • FolkTrails: Interpreting ...
      Niebler, T., Becker, M., Zoller, D., Doerfel, S., Hotho, A.: FolkTrails: Interpreting Navigation Behavior in a Social Tagging System. Proceedings of the 25th ACM International on Conference on Information and Knowledge Management. ACM, New York, NY, USA (2016).
    • Creation of Specific Flow...
      Otto, F., Ring, M., Landes, D., Hotho, A.: Creation of Specific Flow-Based Training Data Sets for Usage Behaviour Classification. ECCWS2016-Proceedings fo the 15th European Conference on Cyber Warfare and Security. p. 437. Academic Conferences and publishing limited (2016).
    • MixedTrails: Bayesian Hyp...
      Becker, M., Lemmerich, F., Singer, P., Strohmaier, M., Hotho, A.: MixedTrails: Bayesian Hypotheses Comparison on Heterogeneous Sequential Data, http://arxiv.org/abs/1612.07612, (2016).
    • Straight Talk! Automatic ...
      Sch{\"o}ch, C., Schl{\"o}r, D., Popp, S., Brunner, A., Henny, U., Tello, J.C.: Straight Talk! Automatic Recognition of Direct Speech in Nineteenth-Century French Novels. DH. pp. 346–353 (2016).
    • Analyzing Features for th...
      Jannidis, F., Reger, I., Zehe, A., Becker, M., Hettinger, L., Hotho, A.: Analyzing Features for the Detection of Happy Endings in German Novels, http://arxiv.org/abs/1611.09028, (2016).
    • Mining Subgroups with Exc...
      Lemmerich, F., Becker, M., Singer, P., Helic, D., Hotho, A., Strohmaier, M.: Mining Subgroups with Exceptional Transition Behavior. In: Krishnapuram, B., Shah, M., Smola, A.J., Aggarwal, C., Shen, D., and Rastogi, R. (eds.) KDD. pp. 965–974. ACM (2016).
    2015[ to top ]
    • Ring, M., Otto, F., Becker, M., Niebler, T., Landes, D., Hotho, A.: ConDist: A Context-Driven Categorical Distance Measure. Presented at the (2015).
    • Participatory Patterns in...
      Sîrbu, A., Becker, M., Caminiti, S., De Baets, B., Elen, B., Francis, L., Gravino, P., Hotho, A., Ingarra, S., Loreto, V., Molino, A., Mueller, J., Peters, J., Ricchiuti, F., Saracino, F., Servedio, V.D.P., Stumme, G., Theunis, J., Tria, F., Van den Bossche, J.: Participatory Patterns in an International Air Quality Monitoring Initiative. PLoS ONE. 10, e0136763 (2015).
    • Genre classification on G...
      Hettinger, L., Becker, M., Reger, I., Jannidis, F., Hotho, A.: Genre classification on German novels. Proceedings of the 12th International Workshop on Text-based Information Retrieval (2015).
    • Hyptrails: A bayesian app...
      Singer, P., Helic, D., Hotho, A., Strohmaier, M.: Hyptrails: A bayesian approach for comparing hypotheses about human trails. 24th International World Wide Web Conference (WWW2015). ACM, Firenze, Italy (2015).
    • Participatory patterns in...
      Sirbu, A., Becker, M., Caminiti, S., De Baets, B., Elen, B., Francis, L., Gravino, P., Hotho, A., Ingarra, S., Loreto, V., Molino, A., Mueller, J., Peters, J., Ricchiuti, F., Saracino, F., Servedio, V.D.P., Stumme, G., Theunis, J., Tria, F., Van den Bossche, J.: Participatory patterns in an international air quality monitoring initiative. PLoS ONE. 10, e0136763 (2015).
    • Evaluating Emergent Seman...
      Niebler, T., Becker, M., Zoller, D., Doerfel, S., Hotho, A.: Evaluating Emergent Semantics in Folksonomies on Human Intuition. (2015).
    • Automatic Threshold Calcu...
      Ring, M., Landes, D., Hotho, A.: Automatic Threshold Calculation for the Categorical Distance Measure ConDist. In: Bergmann, R., Görg, S., and Müller, G. (eds.) LWA. pp. 52–63. CEUR-WS.org (2015).
    • Photowalking the city: co...
      Becker, M., Singer, P., Lemmerich, F., Hotho, A., Helic, D., Strohmaier, M.: Photowalking the city: comparing hypotheses about urban photo trails on Flickr. Proceedings of the 7th International Conference on SocialInformatics (to appear). , Beijing, China (2015).
    • Exploratory subgroup anal...
      Atzmueller, M., Mueller, J., Becker, M.: Exploratory subgroup analytics on ubiquitous data. Mining, Modeling and Recommending ’Things’ in Social Media. pp. 1–20 (2015).
    • Sîrbu, A., Becker, M., Caminiti, S., De Baets, B., Elen, B., Francis, L., Gravino, P., Hotho, A., Ingarra, S., Loreto, V., Molino, A., Mueller, J., Peters, J., Ricchiuti, F., Saracino, F., Servedio, V.D.P., Stumme, G., Theunis, J., Tria, F., Van den Bossche, J.: Participatory Patterns in an International Air Quality Monitoring Initiative, http://arxiv.org/abs/1503.07730, (2015).
    • MicroTrails: Comparing Hy...
      Becker, M., Borchert, K., Hirth, M., Mewes, H., Hotho, A., Tran-Gia, P.: MicroTrails: Comparing Hypotheses About Task Selection on a Crowdsourcing Platform. Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business. pp. 10:1–10:8. ACM, New York, NY, USA (2015).
    • VizTrails: An Information...
      Becker, M., Singer, P., Lemmerich, F., Hotho, A., Helic, D., Strohmaier, M.: VizTrails: An Information Visualization Tool for Exploring Geographic Movement Trajectories. Proceedings of the 26th ACM Conference on Hypertext \&\#38; Social Media. pp. 319–320. ACM, Guzelyurt, Northern Cyprus (2015).
    • On Publication Usage in a...
      Zoller, D., Doerfel, S., Jäschke, R., Stumme, G., Hotho, A.: On Publication Usage in a Social Bookmarking System. Proceedings of the 2015 ACM Conference on Web Science (2015).
    • Modeling and Extracting L...
      v. Kistowski, J., Nikolas, H., Zoller, D., Kounev, S., Hotho, A.: Modeling and Extracting Load Intensity Profiles. Proceedings of the 10th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) (2015).
    • Media Bias in German Onli...
      Dallmann, A., Lemmerich, F., Zoller, D., Hotho, A.: Media Bias in German Online Newspapers. 26th ACM Conference on Hypertext and Social Media. ACM, Cyprus, Turkey, September 1-4 (2015).
    2014[ to top ]
    • Jannach, D., Freyne, J., Geyer, W., Guy, I., Hotho, A., Mobasher, B. eds.: 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. CEUR-WS.org (2014).
    • Proceedings of the 1st In...
      Cellier, P., Charnois, T., Hotho, A., Matwin, S., Moens, M.- }Francine, Toussaint, Y. eds.: 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. CEUR-WS.org (2014).
    • Of course we share! Testi...
      Doerfel, S., Zoller, D., Singer, P., Niebler, T., Hotho, A., Strohmaier, M.: Of course we share! Testing Assumptions about Social Tagging Systems, http://arxiv.org/abs/1401.0629, (2014).
    • HypTrails: A Bayesian App...
      Singer, P., Helic, D., Hotho, A., Strohmaier, M.: HypTrails: A Bayesian Approach for Comparing Hypotheses about Human Trails on the Web, (2014).
    • How Social is Social Tagg...
      Doerfel, S., Zoller, D., Singer, P., Niebler, T., Hotho, A., Strohmaier, M.: How Social is Social Tagging?. Proceedings of the 23rd International World Wide Web Conference. ACM, New York, NY, USA (2014).
    • Atzmueller, M., Becker, M., Kibanov, M., Scholz, C., Doerfel, S., Hotho, A., Macek, B.-E., Mitzlaff, F., Mueller, J., Stumme, G.: {Ubicon and its Applications for Ubiquitous Social Computing}. New Review of Hypermedia and Multimedia. 20, 53–77 (2014).
    • Singer, P., Niebler, T., Hotho, A., Strohmaier, M.: Folksonomies. Encyclopedia of Social Network Analysis and Mining. pp. 542–547. Springer (2014).