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ORCIDAndreas Hotho
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- affiliation: University of Würzburg, Germany
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2020 – today
- 2023
[j53]Carolin Wienrich
, Astrid Carolus, André Markus, Yannik Augustin, Jan Pfister, Andreas Hotho:
Long-Term Effects of Perceived Friendship with Intelligent Voice Assistants on Usage Behavior, User Experience, and Social Perceptions. Comput. 12(4): 77 (2023)- [j52]Michael Steininger, Daniel Abel, Katrin Ziegler, Anna Krause, Heiko Paeth, Andreas Hotho:
ConvMOS: climate model output statistics with deep learning. Data Min. Knowl. Discov. 37(1): 136-166 (2023) - [j51]Julian Tritscher, Anna Krause, Andreas Hotho:
Feature relevance XAI in anomaly detection: Reviewing approaches and challenges. Frontiers Artif. Intell. 6 (2023) - [c157]Pascal Janetzky, Melanie Schaller, Anna Krause, Andreas Hotho:
Swarming Detection in Smart Beehives Using Auto Encoders for Audio Data. IWSSIP 2023: 1-5 - [c156]Andrzej Dulny, Andreas Hotho, Anna Krause:
DynaBench: A Benchmark Dataset for Learning Dynamical Systems from Low-Resolution Data. ECML/PKDD (1) 2023: 438-455 - [c155]Dirk Wangsadirdja, Jan Pfister, Konstantin Kobs, Andreas Hotho:
Jack-Ryder at SemEval-2023 Task 5: Zero-Shot Clickbait Spoiling by Rephrasing Titles as Questions. SemEval@ACL 2023: 1090-1095 - [c154]Konstantin Kobs, Michael Steininger, Andreas Hotho:
InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images. WACV 2023: 1063-1072 - [i39]Christian Schell, Konstantin Kobs, Tamara Fernando, Andreas Hotho, Marc Erich Latoschik:
Extensible Motion-based Identification of XR Users with Non-Specific Motion. CoRR abs/2302.07517 (2023) - [i38]Albin Zehe, Julian Schröter, Andreas Hotho:
Towards a Computational Analysis of Suspense: Detecting Dangerous Situations. CoRR abs/2305.06818 (2023) - [i37]Andrzej Dulny, Andreas Hotho, Anna Krause:
DynaBench: A benchmark dataset for learning dynamical systems from low-resolution data. CoRR abs/2306.05805 (2023) - [i36]Paul Heinisch, Andrzej Dulny, Anna Krause, Andreas Hotho:
TaylorPDENet: Learning PDEs from non-grid Data. CoRR abs/2306.14511 (2023) - [i35]Christian Rack, Tamara Fernando, Murat Yalçin, Andreas Hotho, Marc Erich Latoschik:
Who Is Alyx? A new Behavioral Biometric Dataset for User Identification in XR. CoRR abs/2308.03788 (2023) - 2022
- [j50]Simon Hentschel, Konstantin Kobs, Andreas Hotho:
CLIP knows image aesthetics. Frontiers Artif. Intell. 5 (2022) - [j49]Sarah Wunderlich, Markus Ring, Dieter Landes, Andreas Hotho:
The Impact of Different System Call Representations on Intrusion Detection. Log. J. IGPL 30(2): 239-251 (2022) - [j48]Carolin Wienrich, Astrid Carolus, David Roth-Isigkeit, Andreas Hotho:
Inhibitors and Enablers to Explainable AI Success: A Systematic Examination of Explanation Complexity and Individual Characteristics. Multimodal Technol. Interact. 6(12): 106 (2022) - [c153]Christian Schell, Andreas Hotho, Marc Erich Latoschik:
Comparison of Data Encodings and Machine Learning Architectures for User Identification on Arbitrary Motion Sequences. AIVR 2022: 11-19 - [c152]Vincenzo Perri, Lisi Qarkaxhija, Albin Zehe, Andreas Hotho, Ingo Scholtes:
One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium. CHR 2022: 291-317 - [c151]Andrzej Dulny, Andreas Hotho, Anna Krause:
NeuralPDE: Modelling Dynamical Systems from Data. KI 2022: 75-89 - [c150]Nikolas Wehner, Markus Ring, Joshua Schüler, Andreas Hotho, Tobias Hoßfeld, Michael Seufert:
On Learning Hierarchical Embeddings from Encrypted Network Traffic. NOMS 2022: 1-7 - [c149]Julian Tritscher, Daniel Schlör, Fabian Gwinner, Anna Krause, Andreas Hotho:
Towards Explainable Occupational Fraud Detection. PKDD/ECML Workshops (2) 2022: 79-96 - [c148]Stefan Heil, Karina Kopp, Albin Zehe, Konstantin Kobs, Andreas Hotho:
LSX_team5 at SemEval-2022 Task 8: Multilingual News Article Similarity Assessment based on Word- and Sentence Mover's Distance. SemEval@NAACL 2022: 1190-1195 - [c147]Dirk Wangsadirdja, Felix Heinickel, Simon Trapp, Albin Zehe, Konstantin Kobs, Andreas Hotho:
WueDevils at SemEval-2022 Task 8: Multilingual News Article Similarity via Pair-Wise Sentence Similarity Matrices. SemEval@NAACL 2022: 1235-1243 - [c146]Jan Pfister, Sebastian Wankerl, Andreas Hotho:
SenPoi at SemEval-2022 Task 10: Point me to your Opinion, SenPoi. SemEval@NAACL 2022: 1313-1323 - [i34]Alexander Dallmann, Johannes Kohlmann, Daniel Zoller, Andreas Hotho:
Sequential Item Recommendation in the MOBA Game Dota 2. CoRR abs/2201.08724 (2022) - [i33]Konstantin Kobs, Michael Steininger, Andrzej Dulny, Andreas Hotho:
Do Different Deep Metric Learning Losses Lead to Similar Learned Features? CoRR abs/2205.02698 (2022) - [i32]Julian Tritscher, Fabian Gwinner, Daniel Schlör, Anna Krause, Andreas Hotho:
Open ERP System Data For Occupational Fraud Detection. CoRR abs/2206.04460 (2022) - [i31]Padraig Davidson, Michael Steininger, André Huhn, Anna Krause, Andreas Hotho:
Semi-unsupervised Learning for Time Series Classification. CoRR abs/2207.03119 (2022) - [i30]Daniel Schlör, Andreas Hotho:
Towards Responsible Medical Diagnostics Recommendation Systems. CoRR abs/2209.03760 (2022) - [i29]Christian Schell, Andreas Hotho, Marc Erich Latoschik:
Comparison of Data Representations and Machine Learning Architectures for User Identification on Arbitrary Motion Sequences. CoRR abs/2210.00527 (2022) - [i28]Konstantin Kobs, Andreas Hotho:
On Background Bias in Deep Metric Learning. CoRR abs/2210.01615 (2022) - [i27]Vincenzo Perri, Lisi Qarkaxhija, Albin Zehe, Andreas Hotho, Ingo Scholtes:
One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium. CoRR abs/2210.07871 (2022) - [i26]Konstantin Kobs, Michael Steininger, Andreas Hotho:
InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images. CoRR abs/2211.12760 (2022) - 2021
- [j47]Markus Ring, Daniel Schlör, Sarah Wunderlich, Dieter Landes, Andreas Hotho:
Malware detection on windows audit logs using LSTMs. Comput. Secur. 109: 102389 (2021) - [j46]Michael Steininger, Konstantin Kobs, Padraig Davidson, Anna Krause, Andreas Hotho:
Density-based weighting for imbalanced regression. Mach. Learn. 110(8): 2187-2211 (2021) - [j45]Tobias Koopmann, Maximilian Stubbemann, Matthias Kapa, Michael Paris, Guido Buenstorf, Tom Hanika, Andreas Hotho, Robert Jäschke, Gerd Stumme:
Proximity dimensions and the emergence of collaboration: a HypTrails study on German AI research. Scientometrics 126(12): 9847-9868 (2021) - [c145]Julian Tritscher, Anna Krause, Daniel Schlör, Fabian Gwinner, Sebastian von Mammen, Andreas Hotho:
A financial game with opportunities for fraud. CoG 2021: 1-5 - [c144]Jan Pfister, Konstantin Kobs, Andreas Hotho:
Self-Supervised Multi-Task Pretraining Improves Image Aesthetic Assessment. CVPR Workshops 2021: 816-825 - [c143]Pascal Janetzky, Padraig Davidson, Michael Steininger, Anna Krause, Andreas Hotho:
Detecting Presence Of Speech In Acoustic Data Obtained From Beehives. DCASE 2021: 26-30 - [c142]Albin Zehe, Leonard Konle, Lea Katharina Dümpelmann, Evelyn Gius, Andreas Hotho, Fotis Jannidis, Lucas Kaufmann, Markus Krug, Frank Puppe, Nils Reiter, Annekea Schreiber, Nathalie Wiedmer:
Detecting Scenes in Fiction: A new Segmentation Task. EACL 2021: 3167-3177 - [c141]Konstantin Kobs, Michael Steininger, Andrzej Dulny, Andreas Hotho:
Do Different Deep Metric Learning Losses Lead to Similar Learned Features? ICCV 2021: 10624-10634 - [c140]Sebastian Wankerl, Andrzej Dulny, Gerhard Götz, Andreas Hotho:
Learning Mathematical Relations Using Deep Tree Models. ICMLA 2021: 1681-1687 - [c139]Allan Sales, Albin Zehe, Leandro Balby Marinho, Adriano Veloso, Andreas Hotho, Janna Omeliyanenko:
Assessing Media Bias in Cross-Linguistic and Cross-National Populations. ICWSM 2021: 561-572 - [c138]Alexander Dallmann, Johannes Kohlmann, Daniel Zoller, Andreas Hotho:
Sequential Item Recommendation in the MOBA Game Dota 2. ICDM (Workshops) 2021: 10-17 - [c137]Tobias Koopmann, Konstantin Kobs, Konstantin Herud, Andreas Hotho:
CoBERT: Scientific Collaboration Prediction via Sequential Recommendation. ICDM (Workshops) 2021: 45-54 - [c136]Padraig Davidson, Florian Buckermann, Michael Steininger, Anna Krause, Andreas Hotho:
Semi-unsupervised Learning: An In-depth Parameter Analysis. KI 2021: 51-66 - [c135]Albin Zehe, Leonard Konle, Svenja Guhr, Lea Katharina Dümpelmann, Evelyn Gius, Andreas Hotho, Fotis Jannidis, Lucas Kaufmann, Markus Krug, Frank Puppe, Nils Reiter, Annekea Schreiber:
Shared Task on Scene Segmentation @ KONVENS 2021. STSS@KONVENS 2021: 1-21 - [c134]Alexander Dallmann, Daniel Zoller, Andreas Hotho:
A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models. RecSys 2021: 505-514 - [e24]Albin Zehe, Leonard Konle, Lea Katharina Dümpelmann, Evelyn Gius, Svenja Guhr, Andreas Hotho, Fotis Jannidis, Lucas Kaufmann, Markus Krug, Frank Puppe, Nils Reiter, Annekea Schreiber:
Proceedings of the Shared Task on Scene Segmentation co-located with the 17th Conference on Natural Language Processing (KONVENS 2021), Düsseldorf, Germany, September 6th, 2021. CEUR Workshop Proceedings 3001, CEUR-WS.org 2021 [contents] - [e23]Andreas Hotho, Eva Blomqvist, Stefan Dietze, Achille Fokoue, Ying Ding, Payam M. Barnaghi, Armin Haller, Mauro Dragoni, Harith Alani:
The Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, ISWC 2021, Virtual Event, October 24-28, 2021, Proceedings. Lecture Notes in Computer Science 12922, Springer 2021, ISBN 978-3-030-88360-7 [contents] - [i25]Alexander Dallmann, Daniel Zoller, Andreas Hotho:
A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models. CoRR abs/2107.13045 (2021) - [i24]Padraig Davidson, Michael Steininger, Florian Lautenschlager, Anna Krause, Andreas Hotho:
Anomaly Detection in Beehives: An Algorithm Comparison. CoRR abs/2110.03945 (2021) - [i23]Andrzej Dulny, Andreas Hotho, Anna Krause:
NeuralPDE: Modelling Dynamical Systems from Data. CoRR abs/2111.07671 (2021) - 2020
- [j44]Daniel Schlör, Markus Ring, Andreas Hotho:
iNALU: Improved Neural Arithmetic Logic Unit. Frontiers Artif. Intell. 3: 71 (2020) - [j43]André Bauer, Marwin Züfle, Nikolas Herbst, Albin Zehe, Andreas Hotho, Samuel Kounev:
Time Series Forecasting for Self-Aware Systems. Proc. IEEE 108(7): 1068-1093 (2020) - [j42]Padraig Davidson, Peter Düking, Christoph Zinner, Billy Sperlich, Andreas Hotho:
Smartwatch-Derived Data and Machine Learning Algorithms Estimate Classes of Ratings of Perceived Exertion in Runners: A Pilot Study. Sensors 20(9): 2637 (2020) - [j41]Michael Steininger, Konstantin Kobs, Albin Zehe, Florian Lautenschlager, Martin Becker, Andreas Hotho:
MapLUR: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images. ACM Trans. Spatial Algorithms Syst. 6(3): 19:1-19:24 (2020) - [j40]Konstantin Kobs, Albin Zehe, Armin Bernstetter, Julian Chibane, Jan Pfister, Julian Tritscher, Andreas Hotho:
Emote-Controlled: Obtaining Implicit Viewer Feedback Through Emote-Based Sentiment Analysis on Comments of Popular Twitch.tv Channels. ACM Trans. Soc. Comput. 3(2): 7:1-7:34 (2020) - [c133]Konstantin Kobs, Tobias Koopmann, Albin Zehe, David Fernes, Philipp Krop, Andreas Hotho:
Where to Submit? Helping Researchers to Choose the Right Venue. EMNLP (Findings) 2020: 878-883 - [c132]Sebastian Wankerl, Gerhard Götz, Andreas Hotho:
f2tag - Can Tags be Predicted Using Formulas? ICMLA 2020: 565-571 - [c131]Konstantin Kobs, Christian Schäfer, Michael Steininger, Anna Krause, Roland Baumhauer, Heiko Paeth, Andreas Hotho:
Semi-Supervised Learning for Grain Size Distribution Interpolation. ICPR Workshops (6) 2020: 34-44 - [c130]Julian Tritscher, Markus Ring, Daniel Schlör, Lena Hettinger, Andreas Hotho:
Evaluation of Post-hoc XAI Approaches Through Synthetic Tabular Data. ISMIS 2020: 422-430 - [c129]Konstantin Kobs, Michael Steininger, Albin Zehe, Florian Lautenschlager, Andreas Hotho:
SimLoss: Class Similarities in Cross Entropy. ISMIS 2020: 431-439 - [c128]Elisabeth Fischer, Daniel Zoller, Alexander Dallmann, Andreas Hotho:
Integrating Keywords into BERT4Rec for Sequential Recommendation. KI 2020: 275-282 - [c127]Konstantin Kobs, Martin Potthast, Matti Wiegmann, Albin Zehe, Benno Stein, Andreas Hotho:
Towards Predicting the Subscription Status of Twitch.tv Users - ECML-PKDD ChAT Discovery Challenge 2020. ChAT@PKDD/ECML 2020 - [c126]Daniel Schlör, Markus Ring, Anna Krause, Andreas Hotho:
Financial Fraud Detection with Improved Neural Arithmetic Logic Units. MIDAS@PKDD/ECML 2020: 40-54 - [c125]Janna Omeliyanenko, Albin Zehe, Lena Hettinger, Andreas Hotho:
LM4KG: Improving Common Sense Knowledge Graphs with Language Models. ISWC (1) 2020: 456-473 - [c124]Padraig Davidson, Michael Steininger, Florian Lautenschlager, Konstantin Kobs, Anna Krause, Andreas Hotho:
Anomaly Detection in Beehives using Deep Recurrent Autoencoders. SENSORNETS 2020: 142-149 - [c123]Albin Zehe, Julia Arns, Lena Hettinger, Andreas Hotho:
HarryMotions - Classifying Relationships in Harry Potter based on Emotion Analysis. SwissText/KONVENS 2020 - [e22]Konstantin Kobs, Martin Potthast, Albin Zehe, Matti Wiegmann, Benno Stein, Andreas Hotho:
Proceedings of ECML-PKDD 2020 ChAT Discovery Challenge on Chat Analytics for Twitch co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2020 (ECML-PKDD 2020), Ghent, Belgium (virtual due to Covid-19 pandemic), September 18, 2020. CEUR Workshop Proceedings 2661, CEUR-WS.org 2020 [contents] - [e21]Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11906, Springer 2020, ISBN 978-3-030-46149-2 [contents] - [e20]Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11907, Springer 2020, ISBN 978-3-030-46146-1 [contents] - [e19]Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part III. Lecture Notes in Computer Science 11908, Springer 2020, ISBN 978-3-030-46132-4 [contents] - [i22]Michael Steininger, Konstantin Kobs, Albin Zehe, Florian Lautenschlager, Martin Becker, Andreas Hotho:
MapLUR: Exploring a new Paradigm for Estimating Air Pollution using Deep Learning on Map Images. CoRR abs/2002.07493 (2020) - [i21]Konstantin Kobs, Michael Steininger, Albin Zehe, Florian Lautenschlager, Andreas Hotho:
SimLoss: Class Similarities in Cross Entropy. CoRR abs/2003.03182 (2020) - [i20]Padraig Davidson, Michael Steininger, Florian Lautenschlager, Konstantin Kobs, Anna Krause, Andreas Hotho:
Anomaly Detection in Beehives using Deep Recurrent Autoencoders. CoRR abs/2003.04576 (2020) - [i19]Daniel Schlör, Markus Ring, Andreas Hotho:
iNALU: Improved Neural Arithmetic Logic Unit. CoRR abs/2003.07629 (2020) - [i18]Michael Fischer, Konstantin Kobs, Andreas Hotho:
NICER: Aesthetic Image Enhancement with Humans in the Loop. CoRR abs/2012.01778 (2020) - [i17]Michael Steininger, Daniel Abel, Katrin Ziegler, Anna Krause, Heiko Paeth, Andreas Hotho:
Deep Learning for Climate Model Output Statistics. CoRR abs/2012.10394 (2020)
2010 – 2019
- 2019
- [j39]Markus Ring, Daniel Schlör, Dieter Landes, Andreas Hotho:
Flow-based network traffic generation using Generative Adversarial Networks. Comput. Secur. 82: 156-172 (2019) - [j38]Markus Ring, Sarah Wunderlich, Deniz Scheuring, Dieter Landes, Andreas Hotho:
A survey of network-based intrusion detection data sets. Comput. Secur. 86: 147-167 (2019) - [c122]Sarah Wunderlich, Markus Ring, Dieter Landes, Andreas Hotho:
Comparison of System Call Representations for Intrusion Detection. CISIS-ICEUTE 2019: 14-24 - [c121]Daniel Schlör, Blerta Veseli, Andreas Hotho:
Multimedia aus Rezipientenperspektive: Wirkungsmessung anhand von Biofeedback. DHd 2019 - [c120]Lena Hettinger, Albin Zehe, Alexander Dallmann, Andreas Hotho:
EClaiRE: Context Matters! - Comparing Word Embeddings for Relation Classification. GI-Jahrestagung 2019: 191-204 - [c119]Tobias Koopmann, Alexander Dallmann, Lena Hettinger, Thomas Niebler, Andreas Hotho:
On the right track! Analysing and Predicting Navigation Success in Wikipedia. HT 2019: 143-152 - [c118]Sebastian Wankerl, Gerhard Götz, Andreas Hotho:
Solving Mathematical Exercises: Prediction of Students' Success. LWDA 2019: 190-194 - [c117]Albin Zehe, Lena Hettinger, Stefan Ernst, Christian Hauptmann, Andreas Hotho:
Team Xenophilius Lovegood at SemEval-2019 Task 4: Hyperpartisanship Classification using Convolutional Neural Networks. SemEval@NAACL-HLT 2019: 1047-1051 - [i16]Markus Ring, Sarah Wunderlich, Deniz Scheuring, Dieter Landes, Andreas Hotho:
A Survey of Network-based Intrusion Detection Data Sets. CoRR abs/1903.02460 (2019) - [i15]Sarah Wunderlich, Markus Ring, Dieter Landes, Andreas Hotho:
Comparison of System Call Representations for Intrusion Detection. CoRR abs/1904.07118 (2019) - 2018
- [c116]Ulrike Henny-Krahmer, Katrin Betz, Daniel Schlör, Andreas Hotho:
Alternative Gattungstheorien: Das Prototypenmodell am Beispiel hispanoamerikanischer Romane. DHd 2018 - [c115]Fotis Jannidis, Leonard Konle, Albin Zehe, Andreas Hotho, Markus Krug:
Analysing Direct Speech in German Novels. DHd 2018 - [c114]Christof Schöch, Albin Zehe, José Calvo Tello, Andreas Hotho:
Burrows Zeta: Varianten und Evaluation. DHd 2018 - [c113]Christof Schöch, Daniel Schlör, Albin Zehe, Henning Gebhard, Martin Becker, Andreas Hotho:
Burrows' Zeta: Exploring and Evaluating Variants and Parameters. DH 2018: 274-277 - [c112]Albin Zehe, Daniel Schlör, Ulrike Henny-Krahmer, Martin Becker, Andreas Hotho:
A White-Box Model for Detecting Author Nationality by Linguistic Differences in Spanish Novels. DH 2018: 519-521 - [c111]Mark Kibanov, Martin Becker, Juergen Mueller, Martin Atzmueller, Andreas Hotho, Gerd Stumme:
Adaptive kNN using expected accuracy for classification of geo-spatial data. SAC 2018: 857-865 - [c110]Lena Hettinger, Alexander Dallmann, Albin Zehe, Thomas Niebler, Andreas Hotho:
ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings. SemEval@NAACL-HLT 2018: 836-841 - [p13]Beate Navarro Bullock, Andreas Hotho, Gerd Stumme:
Accessing Information with Tags: Search and Ranking. Social Information Access 2018: 310-343 - [r1]Philipp Singer, Thomas Niebler, Andreas Hotho, Markus Strohmaier:
Folksonomies. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i14]Mark Kibanov, Martin Becker, Juergen Mueller, Martin Atzmueller, Andreas Hotho, Gerd Stumme:
Adaptive kNN using Expected Accuracy for Classification of Geo-Spatial Data. CoRR abs/1801.01453 (2018) - [i13]Lena Hettinger, Alexander Dallmann, Albin Zehe, Thomas Niebler, Andreas Hotho:
ClaiRE at SemEval-2018 Task 7 - Extended Version. CoRR abs/1804.05825 (2018) - [i12]Markus Ring, Daniel Schlör, Dieter Landes, Andreas Hotho:
Flow-based Network Traffic Generation using Generative Adversarial Networks. CoRR abs/1810.07795 (2018) - 2017
- [j37]Martin Becker, Florian Lemmerich, Philipp Singer, Markus Strohmaier, Andreas Hotho:
MixedTrails: Bayesian hypothesis comparison on heterogeneous sequential data. Data Min. Knowl. Discov. 31(5): 1359-1390 (2017) - [j36]Andreas Hotho, Robert Jäschke, Kristina Lerman:
Mining social semantics on the social web. Semantic Web 8(5): 623-624 (2017) - [j35]Philipp Singer, Denis Helic, Andreas Hotho, Markus Strohmaier:
A Bayesian Method for Comparing Hypotheses About Human Trails. ACM Trans. Web 11(3): 14:1-14:29 (2017) - [c109]Fotis Jannidis, Isabella Reger, Albin Zehe, Martin Becker, Lena Hettinger, Andreas Hotho:
Analyzing Features for the Detection of Happy Endings in German Novels. DHd 2017 - [c108]Markus Ring, Alexander Dallmann, Dieter Landes, Andreas Hotho:
IP2Vec: Learning Similarities Between IP Addresses. ICDM Workshops 2017: 657-666 - [c107]Albin Zehe, Martin Becker, Fotis Jannidis, Andreas Hotho:
Towards Sentiment Analysis on German Literature. KI 2017: 387-394 - [c106]Thomas Niebler, Luzian Hahn, Andreas Hotho:
Learning Word Embeddings from Tagging Data: A methodological comparison. LWDA 2017: 229 - [c105]Florian Lemmerich, Philipp Singer, Martin Becker, Lisette Espin Noboa, Dimitar Dimitrov, Denis Helic, Andreas Hotho, Markus Strohmaier:
Comparing Hypotheses About Sequential Data: A Bayesian Approach and Its Applications. ECML/PKDD (3) 2017: 354-357 - [c104]Daniel Zoller, Stephan Doerfel, Christian Pölitz, Andreas Hotho:
Leveraging User-Interactions for Time-Aware Tag Recommendations. RecTemp@RecSys 2017: 9-15 - [c103]Thomas Niebler, Martin Becker, Christian Pölitz, Andreas Hotho:
Learning Semantic Relatedness from Human Feedback Using Relative Relatedness Learning. ISWC (Posters, Demos & Industry Tracks) 2017 - [p12]Vittorio Loreto, Muki Haklay, Andreas Hotho, Vito D. P. Servedio, Gerd Stumme, Jan Theunis, Francesca Tria:
Erratum to: Participatory Sensing, Opinions and Collective Awareness. Participatory Sensing, Opinions and Collective Awareness 2017 - [e18]Vittorio Loreto, Muki Haklay, Andreas Hotho, Vito D. P. Servedio, Gerd Stumme, Jan Theunis, Francesca Tria:
Participatory Sensing, Opinions and Collective Awareness. Understanding Complex Systems, Springer 2017, ISBN 978-3-319-25656-6 [contents] - [i11]Thomas Niebler, Martin Becker, Christian Pölitz, Andreas Hotho:
Learning Semantic Relatedness From Human Feedback Using Metric Learning. CoRR abs/1705.07425 (2017) - [i10]Alexander Dallmann, Alexander Grimm, Christian Pölitz, Daniel Zoller, Andreas Hotho:
Improving Session Recommendation with Recurrent Neural Networks by Exploiting Dwell Time. CoRR abs/1706.10231 (2017) - 2016
- [j34]Daniel Zoller, Stephan Doerfel, Robert Jäschke, Gerd Stumme, Andreas Hotho:
Posted, visited, exported: Altmetrics in the social tagging system BibSonomy. J. Informetrics 10(3): 732-749 (2016) - [j33]Thomas Niebler, Daniel Schlör, Martin Becker, Andreas Hotho:
Extracting Semantics from Unconstrained Navigation on Wikipedia. Künstliche Intell. 30(2): 163-168 (2016) - [j32]Stephan Doerfel, Daniel Zoller, Philipp Singer, Thomas Niebler, Andreas Hotho, Markus Strohmaier:
What Users Actually Do in a Social Tagging System: A Study of User Behavior in BibSonomy. ACM Trans. Web 10(2): 14:1-14:32 (2016) - [c102]Thomas Niebler, Martin Becker, Daniel Zoller, Stephan Doerfel, Andreas Hotho:
FolkTrails: Interpreting Navigation Behavior in a Social Tagging System. CIKM 2016: 2311-2316 - [c101]Lena Hettinger, Isabella Reger, Fotis Jannidis, Andreas Hotho:
Classification of Literary Subgenres. DHd 2016