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Damian Borth

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affiliation: University of St.Gallen, Switzerland
affiliation (former): DFKI, Kaiserslautern, Germany

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Books and Theses

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2015
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Damian Borth:
Visual Learning of Socio-Video Semantics. University of Kaiserslautern, 2015

Journal Articles

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2023
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Joëlle Hanna, Damian Borth, Michael Mommert:
Physics-Guided Multitask Learning for Estimating Power Generation and CO₂ Emissions From Satellite Imagery. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023)
2022
[j8]
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Linus Scheibenreif, Michael Mommert, Damian Borth:
Toward Global Estimation of Ground-Level NO₂ Pollution With Deep Learning and Remote Sensing. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022)
2020
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Benjamin van Giffen, Damian Borth, Walter Brenner:
Management von Künstlicher Intelligenz in Unternehmen. HMD Prax. Wirtsch. 57(1): 4-20 (2020)
2019
[j6]
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Patrick Helber, Benjamin Bischke, Andreas Dengel, Damian Borth:
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(7): 2217-2226 (2019)
2018
[j5]
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Sebastian Säger, Benjamin Elizalde, Damian Borth, Christian Schulze, Bhiksha Raj, Ian R. Lane:
AudioPairBank: towards a large-scale tag-pair-based audio content analysis. EURASIP J. Audio Speech Music. Process. 2018: 12 (2018)
2016
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Bart Thomee, David A. Shamma, Gerald Friedland, Benjamin Elizalde, Karl Ni, Douglas Poland, Damian Borth, Li-Jia Li:
YFCC100M: the new data in multimedia research. Commun. ACM 59(2): 64-73 (2016)
2014
[j3]
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Damian Borth:
Visual Learning of Semantic Concepts in Social Multimedia. Künstliche Intell. 28(4): 333-336 (2014)
2013
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Adrian Ulges, Damian Borth, Markus Koch:
Content analysis meets viewers: linking concept detection with demographics on YouTube. Int. J. Multim. Inf. Retr. 2(2): 145-157 (2013)
2009
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Damian Borth, Adrian Ulges, Christian Schulze, Thomas M. Breuel:
Keyframe Extraktion für Video-Annotation und Video-Zusammenfassung. Inform. Spektrum 32(1): 50-53 (2009)

Conference and Workshop Papers

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2024
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Linus Scheibenreif, Michael Mommert, Damian Borth:
Parameter Efficient Self-Supervised Geospatial Domain Adaptation. CVPR 2024: 27841-27851
[c77]
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Konstantin Schürholt, Michael W. Mahoney, Damian Borth:
Towards Scalable and Versatile Weight Space Learning. ICML 2024
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Damian Falk, Kaan Aydin, Linus Scheibenreif, Damian Borth:
Merging Patches and Tokens: A VQA System for Remote Sensing. IGARSS 2024: 694-698
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Alexander Lontke, Michael Mommert, Damian Borth:
Multi-Modal Diffusion for Self-Supervised Pretraining. IGARSS 2024: 2828-2832
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Xuemei Jiang, Linus Scheibenreif, Damian Borth:
Less is More: Active Self-Supervised Learning in Remote Sensing. IGARSS 2024: 7025-7030
2023
[c73]
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Hamed Hemati, Vincenzo Lomonaco, Davide Bacciu, Damian Borth:
Partial Hypernetworks for Continual Learning. CoLLAs 2023: 318-336
[c72]
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Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth:
Class-Incremental Learning with Repetition. CoLLAs 2023: 437-455
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Joëlle Hanna, Michael Mommert, Damian Borth:
Sparse Multimodal Vision Transformer for Weakly Supervised Semantic Segmentation. CVPR Workshops 2023: 2145-2154
[c70]
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Linus Scheibenreif, Michael Mommert, Damian Borth:
Masked Vision Transformers for Hyperspectral Image Classification. CVPR Workshops 2023: 2166-2176
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Timur Sattarov, Marco Schreyer, Damian Borth:
FinDiff: Diffusion Models for Financial Tabular Data Generation. ICAIF 2023: 64-72
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Shijun Wang, Jón Guðnason, Damian Borth:
Fine-Grained Emotional Control of Text-to-Speech: Learning to Rank Inter- and Intra-Class Emotion Intensities. ICASSP 2023: 1-5
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Julius Lautz, Daniel Leal, Linus Scheibenreif, Damian Borth, Michael Mommert:
Dataset Distillation for Eurosat. IGARSS 2023: 530-533
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Dominik Honegger, Konstantin Schürholt, Linus Scheibenreif, Damian Borth:
Eurosat Model Zoo: A Dataset and Benchmark on Populations of Neural Networks and Its Sparsified Model Twins. IGARSS 2023: 888-891
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Michael Mommert, Nicolas Kesseli, Joëlle Hanna, Linus Scheibenreif, Damian Borth, Begüm Demir:
Ben-Ge: Extending Bigearthnet with Geographical and Environmental Data. IGARSS 2023: 1016-1019
[c64]
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Shijun Wang, Jón Guðnason, Damian Borth:
Learning Emotional Representations from Imbalanced Speech Data for Speech Emotion Recognition and Emotional Text-to-Speech. INTERSPEECH 2023: 351-355
2022
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Linus Scheibenreif, Joëlle Hanna, Michael Mommert, Damian Borth:
Self-supervised Vision Transformers for Land-cover Segmentation and Classification. CVPR Workshops 2022: 1421-1430
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Marco Schreyer, Timur Sattarov, Damian Borth:
Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits. ICAIF 2022: 105-113
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Ricardo Müller, Marco Schreyer, Timur Sattarov, Damian Borth:
RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations. ICAIF 2022: 174-182
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Joëlle Hanna, Linus Scheibenreif, Michael Mommert, Damian Borth:
A Multimodal Approach for Event Detection: Study of UK Lockdowns in the Year 2020. IGARSS 2022: 715-718
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Leonardo Eicher, Michael Mommert, Damian Borth:
Traffic Noise Estimation from Satellite Imagery with Deep Learning. IGARSS 2022: 5937-5940
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Shijun Wang, Damian Borth:
Zero-shot Voice Conversion via Self-supervised Prosody Representation Learning. IJCNN 2022: 1-8
[c57]
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Shijun Wang, Hamed Hemati, Jón Guðnason, Damian Borth:
Generative Data Augmentation Guided by Triplet Loss for Speech Emotion Recognition. INTERSPEECH 2022: 391-395
[c56]
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Konstantin Schürholt, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth:
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights. NeurIPS 2022
[c55]
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Konstantin Schürholt, Diyar Taskiran, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth:
Model Zoos: A Dataset of Diverse Populations of Neural Network Models. NeurIPS 2022
2021
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Marco Schreyer, Timur Sattarov, Damian Borth:
Multi-view contrastive self-supervised learning of accounting data representations for downstream audit tasks. ICAIF 2021: 8:1-8:8
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Michael Mommert, Linus Scheibenreif, Joëlle Hanna, Damian Borth:
Power Plant Classification from Remote Imaging with Deep Learning. IGARSS 2021: 6391-6394
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Linus Scheibenreif, Michael Mommert, Damian Borth:
A Novel Dataset and Benchmark for Surface No2 Prediction from Remote Sensing Data Including Covid Lockdown Measures. IGARSS 2021: 8364-8367
[c51]
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Saurabh Varshneya, Antoine Ledent, Robert A. Vandermeulen, Yunwen Lei, Matthias Enders, Damian Borth, Marius Kloft:
Learning Interpretable Concept Groups in CNNs. IJCAI 2021: 1061-1067
[c50]
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Konstantin Schürholt, Dimche Kostadinov, Damian Borth:
Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction. NeurIPS 2021: 16481-16493
2020
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Marco Schreyer, Timur Sattarov, Anita Gierbl, Bernd Reimer, Damian Borth:
Learning sampling in financial statement audits using vector quantised variational autoencoder neural networks. ICAIF 2020: 45:1-45:8
2019
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Benjamin Bischke, Patrick Helber, Joachim Folz, Damian Borth, Andreas Dengel:
Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks. ICIP 2019: 1480-1484
2018
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Benjamin Bischke, Patrick Helber, Florian Koenig, Damian Borth, Andreas Dengel:
Overcoming Missing and Incomplete Modalities with Generative Adversarial Networks for Building Footprint Segmentation. CBMI 2018: 1-6
[c46]
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Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel:
What Do Deep Networks Like to See? CVPR 2018: 3108-3117
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Marco Stricker, Syed Saqib Bukhari, Damian Borth, Andreas Dengel:
Saliency based Adjective Noun Pair Detection System. ICAART (2) 2018: 387-394
[c44]
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Patrick Helber, Benjamin Bischke, Andreas Dengel, Damian Borth:
Introducing Eurosat: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. IGARSS 2018: 204-207
[c43]
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Benjamin Bischke, Patrick Helber, Damian Borth, Andreas Dengel:
Segmentation of Imbalanced Classes in Satellite Imagery using Adaptive Uncertainty Weighted Class Loss. IGARSS 2018: 6191-6194
[c42]
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Benjamin Bischke, Patrick Helber, Zhengyu Zhao, Jens de Bruijn, Damian Borth:
The Multimedia Satellite Task at MediaEval 2018. MediaEval 2018
2017
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Marco Stricker, Syed Saqib Bukhari, Mohammad Al-Naser, Seyyed Saleh Mozafari Chanijani, Damian Borth, Andreas Dengel:
Which Saliency Detection Method is the Best to Estimate the Human Attention for Adjective Noun Concepts?. ICAART (2) 2017: 185-195
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Benjamin Bischke, Prakriti Bhardwaj, Aman Gautam, Patrick Helber, Damian Borth, Andreas Dengel:
Detection of Flooding Events in Social Multimedia and Satellite Imagery using Deep Neural Networks. MediaEval 2017
[c39]
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Benjamin Bischke, Patrick Helber, Christian Schulze, Venkat Srinivasan, Andreas Dengel, Damian Borth:
The Multimedia Satellite Task at MediaEval 2017. MediaEval 2017
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Philipp Blandfort, Tushar Karayil, Damian Borth, Andreas Dengel:
Image Captioning in the Wild: How People Caption Images on Flickr. MUSA2@MM 2017: 21-29
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Jiebo Luo, Damian Borth, Quanzeng You:
Social Multimedia Sentiment Analysis. ACM Multimedia 2017: 1953-1954
[c36]
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Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, Andreas Dengel:
Predicting Human Associations with Graph Patterns Learned from Linked Data. ISWC (Posters, Demos & Industry Tracks) 2017
2016
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Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, Andreas Dengel:
An Evolutionary Algorithm to Learn SPARQL Queries for Source-Target-Pairs - Finding Patterns for Human Associations in DBpedia. EKAW 2016: 337-352
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Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, Andreas Dengel:
Edinburgh Associative Thesaurus as RDF and DBpedia Mapping. ESWC (Satellite Events) 2016: 17-20
[c33]
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Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, Andreas Dengel:
Erratum to: Edinburgh Associative Thesaurus as RDF and DBpedia Mapping. ESWC (Satellite Events) 2016
[c32]
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Brennan Nunamaker, Syed Saqib Bukhari, Damian Borth, Andreas Dengel:
A Tesseract-based OCR framework for historical documents lacking ground-truth text. ICIP 2016: 3269-3273
[c31]
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Seyyed Saleh Mozaffari Chanijani, Mohammad Al-Naser, Syed Saqib Bukhari, Damian Borth, Shanley E. M. Alleny, Andreas Dengel:
An eye movement study on scientific papers using wearable eye tracking technology. ICMU 2016: 1-6
[c30]
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Sebastian Fuchs, Damian Borth, Adrian Ulges:
Trending Topic Aggregation by News-Based Context Modeling. KI 2016: 162-168
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Philipp Blandfort, Tushar Karayil, Damian Borth, Andreas Dengel:
Introducing Concept And Syntax Transition Networks for Image Captioning. ICMR 2016: 385-388
[c28]
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Alireza Koochali, Sebastian Kalkowski, Andreas Dengel, Damian Borth, Christian Schulze:
Which Languages do People Speak on Flickr?: A Language and Geo-Location Study of the YFCC100m Dataset. MMCommons @ ACM Multimedia 2016: 35-42
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Benjamin Bischke, Damian Borth, Christian Schulze, Andreas Dengel:
Contextual Enrichment of Remote-Sensed Events with Social Media Streams. ACM Multimedia 2016: 1077-1081
[c26]
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Tushar Karayil, Philipp Blandfort, Damian Borth, Andreas Dengel:
Generating Affective Captions using Concept And Syntax Transition Networks. ACM Multimedia 2016: 1111-1115
[c25]
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Bart Thomee, Damian Borth, Julia Bernd:
Multimedia COMMONS Workshop 2016 (MMCommons 2016): Datasets, Evaluation, and Reproducibility. ACM Multimedia 2016: 1485-1486
2015
[c24]
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Julia Bernd, Damian Borth, Carmen Carrano, Jaeyoung Choi, Benjamin Elizalde, Gerald Friedland, Luke R. Gottlieb, Karl Ni, Roger A. Pearce, Douglas Poland, Khalid Ashraf, David A. Shamma, Bart Thomee:
Kickstarting the Commons: The YFCC100M and the YLI Corpora. MMCommons@ACM Multimedia 2015: 1-6
[c23]
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Sebastian Kalkowski, Christian Schulze, Andreas Dengel, Damian Borth:
Real-time Analysis and Visualization of the YFCC100m Dataset. MMCommons@ACM Multimedia 2015: 25-30
[c22]
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Joachim Folz, Christian Schulze, Damian Borth, Andreas Dengel:
Aesthetic Photo Enhancement using Machine Learning and Case-Based Reasoning. ASM@ACM Multimedia 2015: 27-32
[c21]
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Mohammad Al-Naser, Seyyed Saleh Mozafari Chanijani, Syed Saqib Bukhari, Damian Borth, Andreas Dengel:
What Makes a Beautiful Landscape Beautiful: Adjective Noun Pairs Attention by Eye-Tracking and Gaze Analysis. ASM@ACM Multimedia 2015: 51-56
2014
[c20]
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Benjamin Elizalde, Mirco Ravanelli, Karl Ni, Damian Borth, Gerald Friedland:
Audio-concept features and hidden Markov models for multimedia event detection. SLAM@INTERSPEECH 2014: 3-8
[c19]
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Christian Schulze, Dominik Henter, Damian Borth, Andreas Dengel:
Automatic Detection of CSA Media by Multi-modal Feature Fusion for Law Enforcement Support. ICMR 2014: 353
[c18]
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Jaeyoung Choi, Bart Thomee, Gerald Friedland, Liangliang Cao, Karl Ni, Damian Borth, Benjamin Elizalde, Luke R. Gottlieb, Carmen Carrano, Roger A. Pearce, Douglas Poland:
The Placing Task: A Large-Scale Geo-Estimation Challenge for Social-Media Videos and Images. GeoMM 2014: 27-31
2013
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Damian Borth, Rongrong Ji, Tao Chen, Thomas M. Breuel, Shih-Fu Chang:
Large-scale visual sentiment ontology and detectors using adjective noun pairs. ACM Multimedia 2013: 223-232
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Damian Borth, Tao Chen, Rongrong Ji, Shih-Fu Chang:
SentiBank: large-scale ontology and classifiers for detecting sentiment and emotions in visual content. ACM Multimedia 2013: 459-460
[c15]
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Tim Althoff, Damian Borth, Jörn Hees, Andreas Dengel:
Analysis and forecasting of trending topics in online media streams. ACM Multimedia 2013: 907-916
2012
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Adrian Ulges, Markus Koch, Damian Borth:
Linking visual concept detection with viewer demographics. ICMR 2012: 24
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  - conf/mm/HenterBU12
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Dominik Henter, Damian Borth, Adrian Ulges:
Tag suggestion on youtube by personalizing content-based auto-annotation. CrowdMM@ACM Multimedia 2012: 41-46
[c12]
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Damian Borth, Adrian Ulges, Thomas M. Breuel:
Dynamic vocabularies for web-based concept detection by trend discovery. ACM Multimedia 2012: 977-980
2011
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Damian Borth, Adrian Ulges, Thomas M. Breuel:
Lookapp: interactive construction of web-based concept detectors. ICMR 2011: 66
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Damian Borth, Adrian Ulges, Thomas M. Breuel:
Automatic concept-to-query mapping for web-based concept detector training. ACM Multimedia 2011: 1453-1456
[c9]
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Wan-Lei Zhao, Damian Borth, Thomas M. Breuel:
Participation at TRECVID 2011 Semantic Indexing & Content-based Copy Detection Tasks. TRECVID 2011
2010
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Damian Borth, Adrian Ulges, Thomas M. Breuel:
Relevance filtering meets active learning: improving web-based concept detectors. Multimedia Information Retrieval 2010: 25-34
[c7]
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Damian Borth, Markus Koch, Thomas M. Breuel, Adrian Ulges:
DFKI and University of Kaiserslautern participation at TRECVID 2010 - Semantic Indexing Task. TRECVID 2010
2009
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Adrian Ulges, Markus Koch, Damian Borth, Thomas M. Breuel:
TubeTagger - YouTube-based Concept Detection. ICDM Workshops 2009: 190-195
[c5]
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Damian Borth, Adrian Ulges, Christian Schulze, Thomas M. Breuel:
Video Copy Detection providing Localized Matches. Informatiktage 2009: 19-22
[c4]
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Damian Borth, Jörn Hees, Markus Koch, Adrian Ulges, Christian Schulze, Thomas M. Breuel, Roberto Paredes:
TubeFiler: an automatic web video categorizer. ACM Multimedia 2009: 1111-1112
[c3]
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Damian Borth, Markus Koch, Adrian Ulges, Thomas M. Breuel:
DFKI-IUPR participation in TRECVID'09 High-level Feature Extraction Task. TRECVID 2009
2008
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Damian Borth, Adrian Ulges, Christian Schulze, Thomas M. Breuel:
Keyframe Extraction for Video Tagging & Summarization. Informatiktage 2008: 45-48
[c1]
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Damian Borth, Christian Schulze, Adrian Ulges, Thomas M. Breuel:
Navidgator - Similarity Based Browsing for Image and Video Databases. KI 2008: 22-29

Parts in Books or Collections

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2010
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Adrian Ulges, Damian Borth, Thomas M. Breuel:
Visual Concept Learning from Weakly Labeled Web Videos. Video Search and Mining 2010: 203-232

Editorship

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2016
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Bart Thomee, Damian Borth, Julia Bernd:
Proceedings of the 2016 ACM Workshop on Multimedia COMMONS, Amsterdam, Netherlands, October 16, 2016. ACM 2016, ISBN 978-1-4503-4515-6 [contents]

Data and Artifacts

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2018
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Patrick Helber, Benjamin Bischke, Andreas Dengel, Damian Borth:
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. Version 1. Zenodo, 2018 [all versions]
[d1]
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Patrick Helber, Benjamin Bischke, Andreas Dengel, Damian Borth:
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. Version 2. Zenodo, 2018 [all versions]

Informal and Other Publications

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2024
[i56]
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Timur Sattarov, Marco Schreyer, Damian Borth:
FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation. CoRR abs/2401.06263 (2024)
[i55]
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  - journals/corr/abs-2401-15973
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Hamed Hemati, Damian Borth:
Sample Weight Estimation Using Meta-Updates for Online Continual Learning. CoRR abs/2401.15973 (2024)
[i54]
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  - journals/corr/abs-2403-15356
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Zhitong Xiong, Yi Wang, Fahong Zhang, Adam J. Stewart, Joëlle Hanna, Damian Borth, Ioannis Papoutsis, Bertrand Le Saux, Gustau Camps-Valls, Xiao Xiang Zhu:
Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities. CoRR abs/2403.15356 (2024)
[i53]
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  - journals/corr/abs-2406-09997
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Konstantin Schürholt, Michael W. Mahoney, Damian Borth:
Towards Scalable and Versatile Weight Space Learning. CoRR abs/2406.09997 (2024)
[i52]
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  - journals/corr/abs-2407-12440
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Kristófer Reynisson, Marco Schreyer, Damian Borth:
GraphGuard: Contrastive Self-Supervised Learning for Credit-Card Fraud Detection in Multi-Relational Dynamic Graphs. CoRR abs/2407.12440 (2024)
[i51]
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Timur Sattarov, Marco Schreyer, Damian Borth:
Differentially Private Federated Learning of Diffusion Models for Synthetic Tabular Data Generation. CoRR abs/2412.16083 (2024)
2023
[i50]
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  - journals/corr/abs-2301-11396
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Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth:
Class-Incremental Learning with Repetition. CoRR abs/2301.11396 (2023)
[i49]
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  - journals/corr/abs-2303-01508
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Shijun Wang, Jón Guðnason, Damian Borth:
Fine-grained Emotional Control of Text-To-Speech: Learning To Rank Inter- And Intra-Class Emotion Intensities. CoRR abs/2303.01508 (2023)
[i48]
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  - journals/corr/abs-2304-13718
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Dominik Honegger, Konstantin Schürholt, Damian Borth:
Sparsified Model Zoo Twins: Investigating Populations of Sparsified Neural Network Models. CoRR abs/2304.13718 (2023)
[i47]
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Shijun Wang, Jón Guðnason, Damian Borth:
Learning Emotional Representations from Imbalanced Speech Data for Speech Emotion Recognition and Emotional Text-to-Speech. CoRR abs/2306.05709 (2023)
[i46]
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  - journals/corr/abs-2306-10724
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Hamed Hemati, Vincenzo Lomonaco, Davide Bacciu, Damian Borth:
Partial Hypernetworks for Continual Learning. CoRR abs/2306.10724 (2023)
[i45]
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  - journals/corr/abs-2307-01741
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Michael Mommert, Nicolas Kesseli, Joëlle Hanna, Linus Scheibenreif, Damian Borth, Begüm Demir:
Ben-ge: Extending BigEarthNet with Geographical and Environmental Data. CoRR abs/2307.01741 (2023)
[i44]
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Timur Sattarov, Marco Schreyer, Damian Borth:
FinDiff: Diffusion Models for Financial Tabular Data Generation. CoRR abs/2309.01472 (2023)
[i43]
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  - journals/corr/abs-2310-12766
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Alexander Arimond, Mauro Molteni, Dominik Jany, Zornitsa Manolova, Damian Borth, Andreas G. F. Hoepner:
Transformer-based Entity Legal Form Classification. CoRR abs/2310.12766 (2023)
2022
[i42]
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Konstantin Schürholt, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth:
Hyper-Representations for Pre-Training and Transfer Learning. CoRR abs/2207.10951 (2022)
[i41]
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  - journals/corr/abs-2208-04994
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Shijun Wang, Hamed Hemati, Jón Guðnason, Damian Borth:
Generative Data Augmentation Guided by Triplet Loss for Speech Emotion Recognition. CoRR abs/2208.04994 (2022)
[i40]
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  - journals/corr/abs-2208-12708
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Marco Schreyer, Timur Sattarov, Damian Borth:
Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits. CoRR abs/2208.12708 (2022)
[i39]
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  - journals/corr/abs-2209-09157
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Ricardo Müller, Marco Schreyer, Timur Sattarov, Damian Borth:
RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations. CoRR abs/2209.09157 (2022)
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  - journals/corr/abs-2209-14733
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Konstantin Schürholt, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth:
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights. CoRR abs/2209.14733 (2022)
[i37]
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Konstantin Schürholt, Diyar Taskiran, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth:
Model Zoos: A Dataset of Diverse Populations of Neural Network Models. CoRR abs/2209.14764 (2022)
[i36]
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  - journals/corr/abs-2210-15051
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Marco Schreyer, Hamed Hemati, Damian Borth, Miklos A. Vasarhelyi:
Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing. CoRR abs/2210.15051 (2022)
2021
[i35]
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  - journals/corr/abs-2103-14512
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Hamed Hemati, Damian Borth:
Continual Speaker Adaptation for Text-to-Speech Synthesis. CoRR abs/2103.14512 (2021)
[i34]
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  - journals/corr/abs-2104-06074
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Shijun Wang, Damian Borth:
NoiseVC: Towards High Quality Zero-Shot Voice Conversion. CoRR abs/2104.06074 (2021)
[i33]
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Michael Mommert, Linus Scheibenreif, Joëlle Hanna, Damian Borth:
Power Plant Classification from Remote Imaging with Deep Learning. CoRR abs/2107.10894 (2021)
[i32]
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Linus Scheibenreif, Michael Mommert, Damian Borth:
Estimation of Air Pollution with Remote Sensing Data: Revealing Greenhouse Gas Emissions from Space. CoRR abs/2108.13902 (2021)
[i31]
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  - journals/corr/abs-2109-10078
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Saurabh Varshneya, Antoine Ledent, Robert A. Vandermeulen, Yunwen Lei, Matthias Enders, Damian Borth, Marius Kloft:
Learning Interpretable Concept Groups in CNNs. CoRR abs/2109.10078 (2021)
[i30]
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Tim Krappel, Alex Bogun, Damian Borth:
Heterogeneous Ensemble for ESG Ratings Prediction. CoRR abs/2109.10085 (2021)
[i29]
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Marco Schreyer, Timur Sattarov, Damian Borth:
Multi-view Contrastive Self-Supervised Learning of Accounting Data Representations for Downstream Audit Tasks. CoRR abs/2109.11201 (2021)
[i28]
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  - journals/corr/abs-2110-14422
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Shijun Wang, Dimche Kostadinov, Damian Borth:
Zero-shot Voice Conversion via Self-supervised Prosody Representation Learning. CoRR abs/2110.14422 (2021)
[i27]
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Konstantin Schürholt, Dimche Kostadinov, Damian Borth:
Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction. CoRR abs/2110.15288 (2021)
[i26]
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Alex Bogun, Dimche Kostadinov, Damian Borth:
Saliency Diversified Deep Ensemble for Robustness to Adversaries. CoRR abs/2112.03615 (2021)
[i25]
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Hamed Hemati, Marco Schreyer, Damian Borth:
Continual Learning for Unsupervised Anomaly Detection in Continuous Auditing of Financial Accounting Data. CoRR abs/2112.13215 (2021)
2020
[i24]
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  - journals/corr/abs-2005-01686
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Alexander Arimond, Damian Borth, Andreas Hoepner, Michael Klawunn, Stefan Weisheit:
Neural Networks and Value at Risk. CoRR abs/2005.01686 (2020)
[i23]
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Konstantin Schürholt, Damian Borth:
An Investigation of the Weight Space for Version Control of Neural Networks. CoRR abs/2006.10424 (2020)
[i22]
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Marco Schreyer, Timur Sattarov, Anita Gierbl, Bernd Reimer, Damian Borth:
Learning Sampling in Financial Statement Audits using Vector Quantised Autoencoder Neural Networks. CoRR abs/2008.02528 (2020)
[i21]
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Léa Steinacker, Miriam Meckel, Genia Kostka, Damian Borth:
Facial Recognition: A cross-national Survey on Public Acceptance, Privacy, and Discrimination. CoRR abs/2008.07275 (2020)
[i20]
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  - journals/corr/abs-2011-06392
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Hamed Hemati, Damian Borth:
Using IPA-Based Tacotron for Data Efficient Cross-Lingual Speaker Adaptation and Pronunciation Enhancement. CoRR abs/2011.06392 (2020)
[i19]
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Michael Mommert, Mario Sigel, Marcel Neuhausler, Linus Scheibenreif, Damian Borth:
Characterization of Industrial Smoke Plumes from Remote Sensing Data. CoRR abs/2011.11344 (2020)
[i18]
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Marco Schreyer, Christian Schulze, Damian Borth:
Leaking Sensitive Financial Accounting Data in Plain Sight using Deep Autoencoder Neural Networks. CoRR abs/2012.07110 (2020)
2019
[i17]
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  - journals/corr/abs-1908-00734
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Marco Schreyer, Timur Sattarov, Christian Schulze, Bernd Reimer, Damian Borth:
Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks. CoRR abs/1908.00734 (2019)
[i16]
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  - journals/corr/abs-1910-03810
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Marco Schreyer, Timur Sattarov, Bernd Reimer, Damian Borth:
Adversarial Learning of Deepfakes in Accounting. CoRR abs/1910.03810 (2019)
2018
[i15]
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  - journals/corr/abs-1803-07994
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Joachim Folz, Sebastian Palacio, Jörn Hees, Damian Borth, Andreas Dengel:
Adversarial Defense based on Structure-to-Signal Autoencoders. CoRR abs/1803.07994 (2018)
[i14]
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Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel:
What do Deep Networks Like to See? CoRR abs/1803.08337 (2018)
[i13]
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Benjamin Bischke, Patrick Helber, Florian König, Damian Borth, Andreas Dengel:
Overcoming Missing and Incomplete Modalities with Generative Adversarial Networks for Building Footprint Segmentation. CoRR abs/1808.03195 (2018)
2017
[i12]
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Patrick Helber, Benjamin Bischke, Andreas Dengel, Damian Borth:
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. CoRR abs/1709.00029 (2017)
[i11]
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  - journals/corr/abs-1709-05254
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Marco Schreyer, Timur Sattarov, Damian Borth, Andreas Dengel, Bernd Reimer:
Detection of Anomalies in Large Scale Accounting Data using Deep Autoencoder Networks. CoRR abs/1709.05254 (2017)
[i10]
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  - journals/corr/abs-1709-05932
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Benjamin Bischke, Patrick Helber, Joachim Folz, Damian Borth, Andreas Dengel:
Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks. CoRR abs/1709.05932 (2017)
[i9]
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  - journals/corr/abs-1712-09915
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Mario Michael Krell, Julia Bernd, Yifan Li, Daniel Ma, Jaeyoung Choi, Michael Ellsworth, Damian Borth, Gerald Friedland:
Field Studies with Multimedia Big Data: Opportunities and Challenges (Extended Ver. CoRR abs/1712.09915 (2017)
2016
[i8]
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  - journals/corr/SagerBESRLD16
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Sebastian Säger, Damian Borth, Benjamin Elizalde, Christian Schulze, Bhiksha Raj, Ian R. Lane, Andreas Dengel:
AudioSentibank: Large-scale Semantic Ontology of Acoustic Concepts for Audio Content Analysis. CoRR abs/1607.03766 (2016)
[i7]
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Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, Andreas Dengel:
An Evolutionary Algorithm to Learn SPARQL Queries for Source-Target-Pairs: Finding Patterns for Human Associations in DBpedia. CoRR abs/1607.07249 (2016)
2015
[i6]
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  - journals/corr/NiPBEBCW15
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Karl Ni, Roger A. Pearce, Kofi Boakye, Brian Van Essen, Damian Borth, Barry Chen, Eric X. Wang:
Large-Scale Deep Learning on the YFCC100M Dataset. CoRR abs/1502.03409 (2015)
[i5]
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Bart Thomee, David A. Shamma, Gerald Friedland, Benjamin Elizalde, Karl Ni, Douglas Poland, Damian Borth, Li-Jia Li:
The New Data and New Challenges in Multimedia Research. CoRR abs/1503.01817 (2015)
[i4]
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  - journals/corr/BerndBEFGGJKTW15
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Julia Bernd, Damian Borth, Benjamin Elizalde, Gerald Friedland, Heather Gallagher, Luke R. Gottlieb, Adam Janin, Sara Karabashlieva, Jocelyn Takahashi, Jennifer Won:
The YLI-MED Corpus: Characteristics, Procedures, and Plans. CoRR abs/1503.04250 (2015)
[i3]
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Takuya Narihira, Damian Borth, Stella X. Yu, Karl Ni, Trevor Darrell:
Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets. CoRR abs/1511.06838 (2015)
2014
[i2]
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  - journals/corr/AlthoffBHD14
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Tim Althoff, Damian Borth, Jörn Hees, Andreas Dengel:
Analysis and Forecasting of Trending Topics in Online Media Streams. CoRR abs/1405.7452 (2014)
[i1]
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  - journals/corr/ChenBDC14
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Tao Chen, Damian Borth, Trevor Darrell, Shih-Fu Chang:
DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks. CoRR abs/1410.8586 (2014)

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