Publications by Andreas Hotho
These publications are hosted by BibSonomy. A searchable overview of my publications can be found here.
- [ 2023 ]
- [ 2022 ]
- [ 2021 ]
- [ 2020 ]
- [ 2019 ]
- [ 2018 ]
- [ 2017 ]
- [ 2016 ]
- [ 2015 ]
- [ 2014 ]
- [ 2013 ]
- [ 2012 ]
- [ 2011 ]
- [ 2010 ]
- [ 2009 ]
- [ 2008 ]
- [ 2007 ]
- [ 2006 ]
- [ 2005 ]
- [ 2004 ]
- [ 2003 ]
- [ 2002 ]
- [ 2001 ]
- [ 2000 ]
2023[ to top ]
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ConvMOS: climate model output statistics with deep learning in Data Mining and Knowledge Discovery (2023). 37(1) 136–166.
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TaylorPDENet: Learning PDEs from non-grid Data (2023).
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Evaluating feature relevance XAI in network intrusion detection in The World Conference on eXplainable Artificial Intelligence (xAI 2023) - to appear (2023).
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Towards a Computational Analysis of Suspense: Detecting Dangerous Situations (2023).
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Can Neural Networks Distinguish High-school Level Mathematical Concepts? (2023).
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Liquor-HGNN: A heterogeneous graph neural network for leakage detection in water distribution networks in LWDA’23: Lernen, Wissen, Daten, Analysen. October 09--11, 2023, Marburg, Germany, (M. Leyer, Ed.) (2023).
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CapsKG: Enabling Continual Knowledge Integration in Language Models for Automatic Knowledge Graph Completion in International Semantic Web Conference ISWC 2023, to appear (2023).
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Swarming Detection in Smart Beehives Using Auto Encoders for Audio Data (2023). 1–5.
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Automatic Speech Detection on a Smart Beehive’s Raspberry Pi (2023).
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Occupational Fraud Detection through Agent-based Data Generation in The 8th Workshop on MIning DAta for financial applicationS MIDAS 2023 - to appear (2023).
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Higher-Order DeepTrails: Unified Approach to *Trails in {CEUR} Workshop Proceedings, M. Leyer, J. Wichmann (Eds.) (2023).
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DynaBench: A Benchmark Dataset for Learning Dynamical Systems from Low-Resolution Data D. Koutra, C. Plant, M. Gomez Rodriguez, E. Baralis, F. Bonchi (Eds.) (2023). 438–455.
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Long-Term Effects of Perceived Friendship with Intelligent Voice Assistants on Usage Behavior, User Experience, and Social Perceptions in Computers (2023). 12(4)
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Feature relevance XAI in anomaly detection: Reviewing approaches and challenges in Frontiers in Artificial Intelligence (2023). 6
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Zero-Shot Clickbait Spoiling by Rephrasing Titles as Questions (2023). 1090–1095.
2022[ to top ]
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On Background Bias in Deep Metric Learning in CoRR (2022). abs/2210.01615
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Semi-unsupervised Learning for Time Series Classification in CoRR (2022). abs/2207.03119
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The Impact of Different System Call Representations on Intrusion Detection in Log. J. {IGPL} (2022). 30(2) 239–251.
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Anomaly Detection in Beehives: An Algorithm Comparison A. Ahrens, R. V. Prasad, C. Benavente-Peces, N. Ansari (Eds.) (2022). 1–20.
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One Graph to Rule them All: Using {NLP} and Graph Neural Networks to analyse Tolkien’s Legendarium in {CEUR} Workshop Proceedings, F. Karsdorp, K. L. Nielbo (Eds.) (2022). (Vol. 3290) 291–317.
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Sequential Item Recommendation in the {MOBA} Game Dota 2 in CoRR (2022). abs/2201.08724
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CLIP knows image aesthetics in Frontiers in artificial intelligence (2022). 5 976235.
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Towards Responsible Medical Diagnostics Recommendation Systems in CoRR (2022). abs/2209.03760
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Comparison of Data Representations and Machine Learning Architectures for User Identification on Arbitrary Motion Sequences in CoRR (2022). abs/2210.00527
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Point me to your Opinion, {S}en{P}oi (2022). 1313–1323.
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Semi-unsupervised Learning for Time Series Classification in Milets@KDD (2022).
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Do Different Deep Metric Learning Losses Lead to Similar Learned Features? in CoRR (2022). abs/2205.02698
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On Learning Hierarchical Embeddings from Encrypted Network Traffic (2022). 1–7.
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SenPoi at SemEval-2022 Task 10: Point me to your Opinion, SenPoi G. Emerson, N. Schluter, G. Stanovsky, R. Kumar, A. Palmer, N. Schneider, S. Singh, S. Ratan (Eds.) (2022). 1313–1323.
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InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images (2022).
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{W}ue{D}evils at {S}em{E}val-2022 Task 8: Multilingual News Article Similarity via Pair-Wise Sentence Similarity Matrices (2022). 1235–1243.
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{LSX} team5 at {S}em{E}val-2022 Task 8: Multilingual News Article Similarity Assessment based on Word- and Sentence Mover{’}s Distance (2022). 1190–1195.
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Open ERP System Data For Occupational Fraud Detection in arxiv (2022).
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NeuralPDE: Modelling Dynamical Systems from Data in Lecture Notes in Computer Science, R. Bergmann, L. Malburg, S. C. Rodermund, I. J. Timm (Eds.) (2022). (Vol. 13404) 75–89.
2021[ to top ]
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A financial game with opportunities for fraud in IEE COG 2021 (2021). 2021
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Proximity dimensions and the emergence of collaboration: a HypTrails study on German AI research in Scientometrics (2021).
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Shared Task on Scene Segmentation @ KONVENS 2021 (2021). 1–21.
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Learning Mathematical Relations Using Deep Tree Models (2021). 1681–1687.
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The Semantic Web - {ISWC} 2021 - 20th International Semantic Web Conference, {ISWC} 2021, Virtual Event, October 24-28, 2021, Proceedings in Lecture Notes in Computer Science (2021). (Vol. 12922) Springer.
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Malware detection on windows audit logs using LSTMs in Computers & Security (2021). 109 102389.
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NeuralPDE: Modelling Dynamical Systems from Data (2021).
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Sequential Item Recommendation in the MOBA Game Dota 2 (2021). 10–17.
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CoBERT: Scientific Collaboration Prediction via Sequential Recommendation (2021). 45–54.
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Detecting Presence Of Speech In Acoustic Data Obtained From Beehives F. Font, A. Mesaros, D. P. W. Ellis, E. Fonseca, M. Fuentes, B. Elizalde (Eds.) (2021). 26–30.
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Anomaly Detection in Beehives: An Algorithm Comparison (2021).
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Self-Supervised Multi-Task Pretraining Improves Image Aesthetic Assessment (2021). 816–825.
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Evaluating the multi-task learning approach for land use regression modelling of air pollution in Journal of Physics: Conference Series (2021). 1834(1) 012004.
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Do Different Deep Metric Learning Losses Lead to Similar Learned Features? in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) (2021). 10644–10654.
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Detecting Scenes in Fiction: A new Segmentation Task (2021).
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Comparison of Transformer-Based Sequential Product Recommendation Models for the Coveo Data Challenge in SIGIR Workshop On eCommerce (2021).
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Density-based weighting for imbalanced regression in Machine Learning, (A. Appice; S. Escalera; J. A. Gamez; H. Trautmann, Eds.) (2021).
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Semi-unsupervised Learning: An In-depth Parameter Analysis S. Edelkamp, R. M{\"o}ller, E. Rueckert (Eds.) (2021). 51–66.
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A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models (2021).
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Assessing Media Bias in Cross-Linguistic and Cross-National Populations in Proceedings of the International AAAI Conference on Web and Social Media (2021). 15(1) 561–572.
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Semi-Supervised Learning for Grain Size Distribution Interpolation (2021). 34–44.
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A financial game with opportunities for fraud (2021). 1–5.
2020[ to top ]
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Where to Submit? Helping Researchers to Choose the Right Venue (2020). 878–883.
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Deep Learning for Climate Model Output Statistics in Tackling Climate Change with Machine Learning Workshop at NeurIPS 2020 (2020).
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Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part III in Lecture Notes in Computer Science (2020). (Vol. 11908) Springer.
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Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II in Lecture Notes in Computer Science (2020). (Vol. 11907) Springer.
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Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I in Lecture Notes in Computer Science (2020). (Vol. 11906) Springer.
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SimLoss: Class Similarities in Cross Entropy D. Helic, G. Leitner, M. Stettinger, A. Felfernig, Z. W. Ra{\’{s}} (Eds.) (2020). 431–439.
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LM4KG: Improving Common Sense Knowledge Graphs with Language Models J. Z. Pan, V. Tamma, C. d’Amato, K. Janowicz, B. Fu, A. Polleres, O. Seneviratne, L. Kagal (Eds.) (2020). 456–473.
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Evaluation of Post-hoc XAI Approaches Through Synthetic Tabular Data D. Helic, G. Leitner, M. Stettinger, A. Felfernig, Z. W. Ra{\’{s}} (Eds.) (2020). 422–430.
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OpenLUR: Off-the-shelf air pollution modeling with open features and machine learning in Atmospheric Environment (2020). 233 117535.
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MapLUR: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images in ACM Trans. Spatial Algorithms Syst. (2020). 6(3)
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NICER — Aesthetic Image Enhancement with Humans in the Loop (2020). 357–362.
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Evaluating the multi-task learning approach for land use regression modelling of air pollution (2020).
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Anomaly Detection in Beehives using Deep Recurrent Autoencoders (2020). 142–149.
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Financial Fraud Detection with Improved Neural Arithmetic Logic Units (2020). (Vol. Fifth Workshop on MIning DAta for financial applicationS)
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Emote-Controlled: Obtaining Implicit Viewer Feedback through Emote based Sentiment Analysis on Comments of Popular Twitch.tv Channels in {ACM} Transactions on Social Computing (2020). 3(2) 1–34.
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Smartwatch-Derived Data and Machine Learning Algorithms Estimate Classes of Ratings of Perceived Exertion in Runners: A Pilot Study in Sensors (2020).
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iNALU: Improved Neural Arithmetic Logic Unit in Frontiers in Artificial Intelligence (2020). 3 71.
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Integrating Keywords into BERT4Rec for Sequential Recommendation (2020). (Vol. 12325) 275–282.
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Time Series Forecasting for Self-Aware Systems in Proceedings of the IEEE (2020). 1–26.
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Improving Sentiment Analysis with Biofeedback Data (2020). 28–33.
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HarryMotions – Classifying Relationships in Harry Potter based on Emotion Analysis (2020).
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Towards Predicting the Subscription Status of Twitch.tv Users in Proceedings of ECML-PKDD 2020 ChAT Discovery Challenge on Chat Analytics for Twitch (2020).
2019[ to top ]
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EClaiRE: Context Matters! – Comparing Word Embeddings for Relation Classification K. David, K. Geihs, M. Lange, G. Stumme (Eds.) (2019). 191–204.
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Flow-based network traffic generation using Generative Adversarial Networks in Computers & Security (2019). 82 156–172.
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On the Right Track! Analysing and Predicting Navigation Success in Wikipedia in HT ’19, C. Atzenbeck, J. Rubart, D. E. Millard (Eds.) (2019). 143–152.
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Comparison of System Call Representations for Intrusion Detection. in Advances in Intelligent Systems and Computing, F. Martínez-Álvarez, A. T. Lora, J. A. S. Muñoz, H. Quintián, E. Corchado (Eds.) (2019). (Vol. 951) 14–24.
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Team Xenophilius Lovegood at SemEval-2019 Task 4: Hyperpartisanship Classification using Convolutional Neural Networks (2019).
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Solving Mathematical Exercises: Prediction of Students’ Success in CEUR Workshop Proceedings, R. Jäschke, M. Weidlich (Eds.) (2019). (Vol. 2454) 190–194.
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A Survey of Network-based Intrusion Detection Data Sets in Computers & Security (2019). 86 147–167.
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Detection of Scenes in Fiction (2019).
2018[ to top ]
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Flow-based Network Traffic Generation using Generative Adversarial Networks. in CoRR (2018). abs/1810.07795
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ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings (2018).
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{Adaptive kNN Using Expected Accuracy for Classification of Geo-Spatial Data} (2018).
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Accessing Information with Tags: Search and Ranking in Social Information Access: Systems and Technologies, P. Brusilovsky, D. He (Eds.) (2018). 310–343.
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Big-Data Helps SDN to Improve Application Specific Quality of Service in Big Data and Software Defined Networks (2018).
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Burrows Zeta: Varianten und Evaluation (2018).
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Detection of slow port scans in flow-based network traffic in PLOS ONE (2018). 13(9) 1–18.
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EveryAware Gears: A Tool to visualize and analyze all types of Citizen Science Data D. Burghardt, S. Chen, G. Andrienko, N. Andrienko, R. Purves, A. Diehl (Eds.) (2018).
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Air Trails -- Urban Air Quality Campaign Exploration Patterns (2018).
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Burrows’ Zeta: Exploring and Evaluating Variants and Parameters (2018). 274–277.
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A White-Box Model for Detecting Author Nationality by Linguistic Differences in Spanish Novels (2018).
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Analysing Direct Speech in German Novels (2018).
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2017[ to top ]
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Participatory sensing, opinions and collective awareness (2017). Springer.
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Learning Semantic Relatedness From Human Feedback Using Metric Learning (2017).
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Mining social semantics on the social web in Semantic Web (2017). 8(5) 623–624.
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Learning Semantic Relatedness from Human Feedback Using Relative Relatedness Learning (2017).
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MixedTrails: Bayesian hypothesis comparison on heterogeneous sequential data in Data Mining and Knowledge Discovery (2017).
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Leveraging User-Interactions for Time-Aware Tag Recommendations in {CEUR} Workshop Proceedings (2017).
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A Toolset for Intrusion and Insider Threat Detection in Data Analytics and Decision Support for Cybersecurity: Trends, Methodologies and Applications, I. Palomares Carrascosa, H. K. Kalutarage, Y. Huang (Eds.) (2017). 3–31.
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Learning Word Embeddings from Tagging Data: A methodological comparison (2017).
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A Bayesian Method for Comparing Hypotheses About Human Trails in ACM Trans. Web (2017). 11(3) 14:1–14:29.
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Sedentary Behavior among National Elite Rowers during Off-Training—A Pilot Study in Frontiers in Physiology (2017). 8 655.
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IP2Vec: Learning Similarities Between IP Addresses in 2017 IEEE International Conference on Data Mining Workshops (ICDMW) (2017). 657–666.
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Comparing Hypotheses About Sequential Data: A Bayesian Approach and Its Applications Y. Altun, K. Das, T. Mielik{\"a}inen, D. Malerba, J. Stefanowski, J. Read, M. {\v{Z}}itnik, M. Ceci, S. D{\v{z}}eroski (Eds.) (2017). 354–357.
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Flow-based benchmark data sets for intrusion detection (2017). 361–369.
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Creation of Flow-Based Data Sets for Intrusion Detection in Journal of Information Warfare (2017). 16(4) 41–54.
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Improving Session Recommendation with Recurrent Neural Networks by Exploiting Dwell Time (2017).
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Towards Sentiment Analysis on German Literature G. Kern-Isberner, J. F{\"u}rnkranz, M. Thimm (Eds.) (2017). 387–394.
2016[ to top ]
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Prediction of Happy Endings in German Novels in CEUR Workshop Proceedings, P. Cellier, T. Charnois, A. Hotho, S. Matwin, M.-F. Moens, Y. Toussaint (Eds.) (2016). (Vol. 1646) 9–16.
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Posted, Visited, Exported: Altmetrics in the Social Tagging System BibSonomy in Journal of Informetrics (2016). 10(3) 732–749.
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What Users Actually do in a Social Tagging System: A Study of User Behavior in BibSonomy in ACM Transactions on the Web (2016). 10(2) 14:1–14:32.
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Significance Testing for the Classification of Literary Subgenres (2016).
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Classification of Literary Subgenres (2016).
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Extracting Semantics from Random Walks on Wikipedia: Comparing learning and counting methods R. West, L. Zia, D. Taraborelli, J. Leskovec (Eds.) (2016).
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Proceedings of the Workshop on Interactions between Data Mining and Natural Language Processing, DMNLP 2016, co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2016, Riva del Garda, Italy, September 23, 2016. in CEUR Workshop Proceedings (2016). (Vol. 1646) CEUR-WS.org.
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Comparison of non-invasive individual monitoring of the training and health of athletes with commercially available wearable technologies in Frontiers in Physiology (2016). 7(71)
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Mining Subgroups with Exceptional Transition Behavior B. Krishnapuram, M. Shah, A. J. Smola, C. Aggarwal, D. Shen, R. Rastogi (Eds.) (2016). 965–974.
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SparkTrails: A MapReduce Implementation of HypTrails for Comparing Hypotheses About Human Trails. J. Bourdeau, J. Hendler, R. Nkambou, I. Horrocks, B. Y. Zhao (Eds.) (2016). 17–18.
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Analyzing Features for the Detection of Happy Endings in German Novels (2016).
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FolkTrails: Interpreting Navigation Behavior in a Social Tagging System in CIKM ’16 (2016).
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Creation of Specific Flow-Based Training Data Sets for Usage Behaviour Classification (2016). 437.
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Extracting Semantics from Unconstrained Navigation on Wikipedia in KI (2016). 30(2) 163–168.
2015[ to top ]
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Participatory Patterns in an International Air Quality Monitoring Initiative in PLoS ONE (2015). 10(8) e0136763.
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Hyptrails: A bayesian approach for comparing hypotheses about human trails (2015).
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Media Bias in German Online Newspapers (2015).
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ConDist: A Context-Driven Categorical Distance Measure ECMLPKDD2015 (Ed.) (2015).
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Modeling and Extracting Load Intensity Profiles (2015).
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On Publication Usage in a Social Bookmarking System (2015).
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Participatory Patterns in an International Air Quality Monitoring Initiative (2015).
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Automatic Threshold Calculation for the Categorical Distance Measure ConDist. in CEUR Workshop Proceedings, R. Bergmann, S. Görg, G. Müller (Eds.) (2015). (Vol. 1458) 52–63.
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Photowalking the city: comparing hypotheses about urban photo trails on Flickr (2015).
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VizTrails: An Information Visualization Tool for Exploring Geographic Movement Trajectories in HT ’15 (2015). 319–320.
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Genre classification on German novels (2015).
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MicroTrails: Comparing Hypotheses About Task Selection on a Crowdsourcing Platform in i-KNOW ’15 (2015). 10:1–10:8.
2014[ to top ]
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Proceedings of the 1st International Workshop on Interactions between Data Mining and Natural Language Processing co-located with The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, DMNLP@PKDD/ECML 2014, Nancy, France, September 15, 2014 in {CEUR} Workshop Proceedings (2014). (Vol. 1202) CEUR-WS.org.
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Of course we share! Testing Assumptions about Social Tagging Systems (2014).
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{Ubicon and its Applications for Ubiquitous Social Computing} in New Review of Hypermedia and Multimedia (2014). 20(1) 53–77.
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Evaluating Assumptions about Social Tagging - {A} Study of User Behavior in BibSonomy T. Seidl, M. Hassani, C. Beecks (Eds.) (2014). 18–19.
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How Social is Social Tagging? in WWW 2014 (2014).
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The sixth {ACM} RecSys workshop on recommender systems and the social web (2014). 395.
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HypTrails: A Bayesian Approach for Comparing Hypotheses about Human Trails on the Web (2014).
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Proceedings of the 6th Workshop on Recommender Systems and the Social Web (RSWeb 2014) co-located with the 8th {ACM} Conference on Recommender Systems (RecSys 2014), Foster City, CA, USA, October 6, 2014 in {CEUR} Workshop Proceedings (2014). (Vol. 1271) CEUR-WS.org.
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The social distributional hypothesis: a pragmatic proxy for homophily in online social networks in Social Network Analysis and Mining (2014). 4(1)
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Folksonomies in Encyclopedia of Social Network Analysis and Mining (2014). 542–547.
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Subjective vs. Objective Data: Bridging the Gap (2014).
2013[ to top ]
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Informationelle Selbstbestimmung Im Web 2.0 Chancen Und Risiken Sozialer Verschlagwortungssysteme (2013). Vieweg + Teubner Verlag.
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How Tagging Pragmatics Influence Tag Sense Discovery in Social Annotation Systems in Advances in Information Retrieval, P. Serdyukov, P. Braslavski, S. Kuznetsov, J. Kamps, S. Rüger, E. Agichtein, I. Segalovich, E. Yilmaz (Eds.) (2013). (Vol. 7814) 86–97.
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Deeper Into the Folksonomy Graph: FolkRank Adaptations and Extensions for Improved Tag Recommendations in cs.IR (2013). 1310.1498
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A Generic Platform for Ubiquitous and Subjective Data (2013). New York, NY, USA.
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Awareness and Learning in Participatory Noise Sensing in PLoS ONE (2013). 8(12) e81638.
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Tag Recommendations for SensorFolkSonomies (2013). (Vol. 1066)
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{Semantics of User Interaction in Social Media} in Complex Networks IV, G. Ghoshal, J. Poncela-Casasnovas, R. Tolksdorf (Eds.) (2013). (Vol. 476)
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Proceedings of the Fifth ACM RecSys Workshop on Recommender Systems and the Social Web co-located with the 7th ACM Conference on Recommender Systems (RecSys 2013), Hong Kong, China, October 13, 2013. in CEUR Workshop Proceedings (2013). (Vol. 1066) CEUR-WS.org.
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Computing Semantic Relatedness from Human Navigational Paths: A Case Study on Wikipedia in International Journal on Semantic Web and Information Systems (IJSWIS) (2013). 9(4) 41–70.
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Ubiquitous Social Media Analysis Third International Workshops, MUSE 2012, Bristol, UK, September 24, 2012, and MSM 2012, Milwaukee, WI, USA, June 25, 2012, Revised Selected Papers (2013). Imprint: Springer, Berlin, Heidelberg.
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Exploiting Structural Consistencies with Stacked Conditional Random Fields in Mathematical Methodologies in Pattern Recognition and Machine Learning Springer Proceedings in Mathematics & Statistics (2013). 30 111–125.
2012[ to top ]
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The challenge of recommender systems challenges. P. Cunningham, N. J. Hurley, I. Guy, S. S. Anand (Eds.) (2012). 9–10.
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4th ACM RecSys workshop on recommender systems and the social web. P. Cunningham, N. J. Hurley, I. Guy, S. S. Anand (Eds.) (2012). 345–346.
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RSWeb ’12: Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web (2012). ACM, Dublin, Ireland.
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Extending FolkRank with content data in RSWeb ’12 (2012). 1–8.
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Leveraging publication metadata and social data into FolkRank for scientific publication recommendation in RSWeb ’12 (2012). 9–16.
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Publikationen im Web 2.0 in Informatik-Spektrum (2012). 1–5.
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Ubicon: Observing Social and Physical Activities (2012).
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Recommender Systems for Social Tagging Systems in SpringerBriefs in Electrical and Computer Engineering (2012). Springer.
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Face-to-Face Contacts at a Conference: Dynamics of Communities and Roles in {Modeling and Mining Ubiquitous Social Media} (2012). (Vol. 7472)
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Collective Information Extraction with Context-Specific Consistencies. in Lecture Notes in Computer Science, P. A. Flach, T. D. Bie, N. Cristianini (Eds.) (2012). (Vol. 7523) 728–743.
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Datenschutz im Web 2.0 am Beispiel des sozialen Tagging-Systems BibSonomy. in Informatik Spektrum (2012). 35(1) 12–23.
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Modeling and Mining Ubiquitous Social Media in Lecture Notes in Computer Science (2012). (Vol. 7472) Springer Verlag, Heidelberg, Germany.
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{Proceedings of the Third International Workshop on Mining Ubiquitous and Social Environments (MUSE 2012)} (2012). Workshop Notes, Bristol, UK.
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Challenges in Tag Recommendations for Collaborative Tagging Systems in Recommender Systems for the Social Web, J. J. Pazos Arias, A. Fernández Vilas, R. P. Díaz Redondo (Eds.) (2012). (Vol. 32) 65–87.
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Stacked Conditional Random Fields Exploiting Structural Consistencies P. L. Carmona, J. S. Sánchez, A. Fred (Eds.) (2012). 240–248.
2011[ to top ]
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Towards Mining Semantic Maturity in Social Bookmarking Systems A. Passant, S. Fernández, J. Breslin, U. Bojārs (Eds.) (2011).
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Resource-Aware On-Line RFID Localization Using Proximity Data (2011).