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ORCIDAndreas Hotho
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- affiliation: University of Würzburg, Germany
- affiliation: University of Kassel, Germany
- affiliation (PhD 2004): Karlsruhe Institute of Technology, Germany
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2020 – today
- 2024
[j59]André Markus
, Jan Pfister, Astrid Carolus, Andreas Hotho, Carolin Wienrich:
Empower the user - The impact of functional understanding training on usage, social perception, and self-determined interactions with intelligent voice assistants. Comput. Educ. Artif. Intell. 6: 100229 (2024)- [j58]Maximilian Wolf, Julian Tritscher, Dieter Landes, Andreas Hotho, Daniel Schlör:
Benchmarking of synthetic network data: Reviewing challenges and approaches. Comput. Secur. 145: 103993 (2024) - [j57]Tobias Koopmann, Martin Becker, Florian Lemmerich, Andreas Hotho:
CompTrails: comparing hypotheses across behavioral networks. Data Min. Knowl. Discov. 38(3): 1258-1288 (2024) - [j56]Michael Seufert, Katharina Dietz, Nikolas Wehner, Stefan Geißler, Joshua Schüler, Manuel Wolz, Andreas Hotho, Pedro Casas, Tobias Hoßfeld, Anja Feldmann:
Marina: Realizing ML-Driven Real-Time Network Traffic Monitoring at Terabit Scale. IEEE Trans. Netw. Serv. Manag. 21(3): 2773-2790 (2024) - [c172]Tom Völker, Jan Pfister, Tobias Koopmann, Andreas Hotho:
From Chat to Publication Management: Organizing your related work using BibSonomy & LLMs. CHIIR 2024: 386-390 - [c171]Julian Tritscher, Maximilian Wolf, Anna Krause, Andreas Hotho, Daniel Schlör:
Data Generation for Explainable Occupational Fraud Detection. KI 2024: 246-259 - [c170]Jan Pfister, Andreas Hotho:
SuperGLEBer: German Language Understanding Evaluation Benchmark. NAACL-HLT 2024: 7904-7923 - [c169]Andrzej Dulny, Paul Heinisch, Andreas Hotho, Anna Krause:
GrINd: Grid Interpolation Network for Scattered Observations. ECML/PKDD (7) 2024: 177-193 - [c168]Julia Wunderle, Julian Schubert, Antonella Cacciatore, Albin Zehe, Jan Pfister, Andreas Hotho:
OtterlyObsessedWithSemantics at SemEval-2024 Task 4: Developing a Hierarchical Multi-Label Classification Head for Large Language Models. SemEval@NAACL 2024: 602-612 - [c167]Konstantin Kobs, Jan Pfister, Andreas Hotho:
Pollice Verso at SemEval-2024 Task 6: The Roman Empire Strikes Back. SemEval@NAACL 2024: 1529-1536 - [e25]Andreas Hotho, Sebastian Rudolph:
KI 2024: Advances in Artificial Intelligence - 47th German Conference on AI, Würzburg, Germany, September 25-27, 2024, Proceedings. Lecture Notes in Computer Science 14992, Springer 2024, ISBN 978-3-031-70892-3 [contents] - [i46]Tom Völker, Jan Pfister, Tobias Koopmann, Andreas Hotho:
BibSonomy Meets ChatLLMs for Publication Management: From Chat to Publication Management: Organizing your related work using BibSonomy & LLMs. CoRR abs/2401.09092 (2024) - [i45]Pascal Janetzky, Florian Gallusser, Simon Hentschel, Andreas Hotho, Anna Krause:
Global Vegetation Modeling with Pre-Trained Weather Transformers. CoRR abs/2403.18438 (2024) - [i44]Andrzej Dulny, Paul Heinisch, Andreas Hotho, Anna Krause:
GrINd: Grid Interpolation Network for Scattered Observations. CoRR abs/2403.19570 (2024) - [i43]Melanie Schaller, Daniel Schlör, Andreas Hotho:
ModeConv: A Novel Convolution for Distinguishing Anomalous and Normal Structural Behavior. CoRR abs/2407.00140 (2024) - [i42]Elisabeth Fischer, Daniel Schlör, Albin Zehe, Andreas Hotho:
Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction. CoRR abs/2408.15953 (2024) - [i41]Maximilian Wolf, Dieter Landes, Andreas Hotho, Daniel Schlör:
Systematic Evaluation of Synthetic Data Augmentation for Multi-class NetFlow Traffic. CoRR abs/2408.16034 (2024) - 2023
- [j55]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) - [j54]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) - [j53]Julian Tritscher, Anna Krause, Andreas Hotho:
Feature relevance XAI in anomaly detection: Reviewing approaches and challenges. Frontiers Artif. Intell. 6 (2023) - [j52]Christian Rack, Tamara Fernando, Murat Yalçin, Andreas Hotho, Marc Erich Latoschik:
Who is Alyx? A new behavioral biometric dataset for user identification in XR. Frontiers Virtual Real. 4 (2023) - [j51]Aidan Hogan, Ian Horrocks, Andreas Hotho, Lalana Kagal:
Transactions on Graph Data and Knowledge. TGDK 1(1): 1:1-1:4 (2023) - [c166]Elisabeth Fischer, Daniel Schlör, Albin Zehe, Andreas Hotho:
Enhancing Sequential Next-Item Prediction through Modelling Non-Item Pages. ICDM (Workshops) 2023: 128-136 - [c165]Sebastian Wankerl, Andrzej Dulny, Gerhard Götz, Andreas Hotho:
Can Neural Networks Distinguish High-school Level Mathematical Concepts? ICDM 2023: 1397-1402 - [c164]Daniel Schlör, Jan Pfister, Andreas Hotho:
Optimizing Medical Service Request Processes through Language Modeling and Semantic Search. ICMHI 2023: 136-141 - [c163]Pascal Janetzky, Melanie Schaller, Anna Krause, Andreas Hotho:
Swarming Detection in Smart Beehives Using Auto Encoders for Audio Data. IWSSIP 2023: 1-5 - [c162]Julia Wunderle, Jan Pfister, Andreas Hotho:
Pointer Networks: A Unified Approach to Extracting German Opinions. KONVENS 2023: 127-138 - [c161]Tobias Koopmann, Jan Pfister, André Markus, Astrid Carolus, Carolin Wienrich, Andreas Hotho:
Higher-Order DeepTrails: Unified Approach to *Trails. LWDA 2023: 372-386 - [c160]Pascal Janetzky, Philip Lissmann, Andreas Hotho, Anna Krause:
Automatic Speech Detection on a Smart Beehive's Raspberry Pi. LWDA 2023: 424-429 - [c159]Melanie Schaller, Michael Steininger, Andrzej Dulny, Daniel Schlör, Andreas Hotho:
Liquor-HGNN: A heterogeneous graph neural network for leakage detection in water distribution networks. LWDA 2023: 454-469 - [c158]Andrzej Dulny, Andreas Hotho, Anna Krause:
DynaBench: A Benchmark Dataset for Learning Dynamical Systems from Low-Resolution Data. ECML/PKDD (1) 2023: 438-455 - [c157]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 - [c156]Janna Omeliyanenko, Albin Zehe, Andreas Hotho, Daniel Schlör:
CapsKG: Enabling Continual Knowledge Integration in Language Models for Automatic Knowledge Graph Completion. ISWC 2023: 618-636 - [c155]Konstantin Kobs, Michael Steininger, Andreas Hotho:
InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images. WACV 2023: 1063-1072 - [c154]Julian Tritscher, Maximilian Wolf, Andreas Hotho, Daniel Schlör:
Evaluating Feature Relevance XAI in Network Intrusion Detection. xAI (1) 2023: 483-497 - [i40]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) - [i39]Albin Zehe, Julian Schröter, Andreas Hotho:
Towards a Computational Analysis of Suspense: Detecting Dangerous Situations. CoRR abs/2305.06818 (2023) - [i38]Andrzej Dulny, Andreas Hotho, Anna Krause:
DynaBench: A benchmark dataset for learning dynamical systems from low-resolution data. CoRR abs/2306.05805 (2023) - [i37]Paul Heinisch, Andrzej Dulny, Anna Krause, Andreas Hotho:
TaylorPDENet: Learning PDEs from non-grid Data. CoRR abs/2306.14511 (2023) - [i36]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) - [i35]Tobias Koopmann, Jan Pfister, André Markus, Astrid Carolus, Carolin Wienrich, Andreas Hotho:
Higher-Order DeepTrails: Unified Approach to *Trails. CoRR abs/2310.04477 (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]