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ORCIDDaniel Sonntag
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- affiliation: German Research Centre for Artificial Intelligence, DFKI, Kaiserslautern, Germany
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2020 – today
- 2024
[j31]Hannes Kath, Patricia P. Serafini, Ivan B. Campos, Thiago S. Gouvêa, Daniel Sonntag:
Leveraging transfer learning and active learning for data annotation in passive acoustic monitoring of wildlife. Ecol. Informatics 82: 102710 (2024)- [j30]Abdulrahman Mohamed Selim
, Michael Barz, Omair Shahzad Bhatti, Hasan Md Tusfiqur Alam, Daniel Sonntag:
A review of machine learning in scanpath analysis for passive gaze-based interaction. Frontiers Artif. Intell. 7 (2024) - [j29]Werner Damm, David Hess, Mark Schweda, Janos Sztipanovits, Klaus Bengler, Bianca Biebl, Martin Fränzle, Willem Hagemann, Moritz Held, Klas Ihme, Severin Kacianka, Alyssa J. Kerscher, Sebastian Lehnhoff, Andreas Lüdtke, Alexander Pretschner, Astrid Rakow, Jochem W. Rieger, Daniel Sonntag, Maike Schwammberger, Benedikt Austel, Anirudh Unni, Eric M. S. P. Veith:
A Reference Architecture of Human Cyber-Physical Systems - Part I: Fundamental Concepts. ACM Trans. Cyber Phys. Syst. 8(1): 2:1-2:32 (2024) - [j28]Klaus Bengler, Werner Damm, Andreas Lüdtke, Jochem W. Rieger, Benedikt Austel, Bianca Biebl, Martin Fränzle, Willem Hagemann, Moritz Held, David Hess, Klas Ihme, Severin Kacianka, Alyssa J. Kerscher, Forrest Laine, Sebastian Lehnhoff, Alexander Pretschner, Astrid Rakow, Daniel Sonntag, Janos Sztipanovits, Maike Schwammberger, Mark Schweda, Anirudh Unni, Eric M. S. P. Veith:
A References Architecture for Human Cyber Physical Systems, Part II: Fundamental Design Principles for Human-CPS Interaction. ACM Trans. Cyber Phys. Syst. 8(1): 3:1-3:27 (2024) - [j27]Werner Damm, Martin Fränzle, Alyssa J. Kerscher, Forrest Laine, Klaus Bengler, Bianca Biebl, Willem Hagemann, Moritz Held, David Hess, Klas Ihme, Severin Kacianka, Sebastian Lehnhoff, Andreas Lüdtke, Alexander Pretschner, Astrid Rakow, Jochem W. Rieger, Daniel Sonntag, Janos Sztipanovits, Maike Schwammberger, Mark Schweda, Alexander Trende, Anirudh Unni, Eric M. S. P. Veith:
A Reference Architecture of Human Cyber-Physical Systems - Part III: Semantic Foundations. ACM Trans. Cyber Phys. Syst. 8(1): 4:1-4:23 (2024) - [c147]Siting Liang, Daniel Sonntag:
Building A German Clinical Named Entity Recognition System without In-domain Training Data. ClinicalNLP@NAACL 2024: 70-81 - [c146]Abdulrahman Mohamed Selim, Maurice Rekrut, Michael Barz, Daniel Sonntag:
Speech Imagery BCI Training Using Game with a Purpose. AVI 2024: 43:1-43:5 - [c145]Hannes Kath, Thiago S. Gouvêa, Daniel Sonntag:
Active and Transfer Learning for Efficient Identification of Species in Multi-Label Bioacoustic Datasets. GoodIT 2024: 22-25 - [c144]Nils Feldhus, Aliki Anagnostopoulou, Qianli Wang, Milad Alshomary, Henning Wachsmuth, Daniel Sonntag, Sebastian Möller:
Towards Modeling and Evaluating Instructional Explanations in Teacher-Student Dialogues. GoodIT 2024: 225-230 - [c143]Duy Minh Ho Nguyen, Nina Lukashina, Tai Nguyen, An T. Le, TrungTin Nguyen, Nhat Ho, Jan Peters, Daniel Sonntag, Viktor Zaverkin, Mathias Niepert:
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks. ICML 2024 - [c142]Hannes Kath, Thiago S. Gouvêa, Daniel Sonntag:
Active Learning in Multi-label Classification of Bioacoustic Data. KI 2024: 114-127 - [c141]Ilira Troshani, Thiago S. Gouvêa, Daniel Sonntag:
Leveraging Weakly Supervised and Multiple Instance Learning for Multi-label Classification of Passive Acoustic Monitoring Data. KI 2024: 260-272 - [c140]Hannes Kath, Thiago S. Gouvêa, Daniel Sonntag:
A Human-in-the-Loop Tool for Annotating Passive Acoustic Monitoring Datasets (Extended Abstract). KI 2024: 341-345 - [c139]László Kopácsi, Albert Klimenko, Michael Barz, Daniel Sonntag:
Exploring Gaze-Based Menu Navigation in Virtual Environments. SUI 2024: 40:1-40:2 - [c138]Konstantin Kuznetsov, Sara-Jane Bittner, Abdulrahman Mohamed Selim, Michael Barz, Daniel Sonntag:
FormTwin: A Framework for Pen-based Data Collection. UMAP (Adjunct Publication) 2024 - [c137]László Kopácsi, Panagiotis Karagiannis, Sotiris Makris, Johan Kildal, Andoni Rivera-Pinto, Judit Ruiz de Munain, Jesús Rosel, Maria Madarieta, Nikolaos Tseregkounis, Konstantina Salagianni, Panagiotis Aivaliotis, Michael Barz, Daniel Sonntag:
The MASTER XR Platform for Robotics Training in Manufacturing. VRST 2024: 67:1-67:2 - [c136]László Kopácsi, Tobias Sebastian Schneider, Chiara Karr, Michael Barz, Daniel Sonntag:
GazeLock: Gaze- and Lock Pattern-Based Authentication. VRST 2024: 94:1-94:2 - [i43]Duy M. H. Nguyen, Nina Lukashina, Tai Nguyen, An T. Le, TrungTin Nguyen, Nhat Ho, Jan Peters, Daniel Sonntag, Viktor Zaverkin, Mathias Niepert:
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks. CoRR abs/2402.01975 (2024) - [i42]Md Abdul Kadir, Hasan Md Tusfiqur Alam, Pascale Maul, Hans-Jürgen Profitlich, Moritz Wolf, Daniel Sonntag:
Modular Deep Active Learning Framework for Image Annotation: A Technical Report for the Ophthalmo-AI Project. CoRR abs/2403.15143 (2024) - [i41]Md Abdul Kadir, Gowtham Krishna Addluri, Daniel Sonntag:
Revealing Vulnerabilities of Neural Networks in Parameter Learning and Defense Against Explanation-Aware Backdoors. CoRR abs/2403.16569 (2024) - [i40]Hoai-Chau Tran, Duy M. H. Nguyen, Duy M. Nguyen, TrungTin Nguyen, Ngan Le, Pengtao Xie, Daniel Sonntag, James Y. Zou, Binh T. Nguyen, Mathias Niepert:
Accelerating Transformers with Spectrum-Preserving Token Merging. CoRR abs/2405.16148 (2024) - [i39]Hoang H. Le, Duy M. H. Nguyen, Omair Shahzad Bhatti, László Kopácsi, Thinh P. Ngo, Binh T. Nguyen, Michael Barz, Daniel Sonntag:
I-MPN: Inductive Message Passing Network for Effective and Efficient Human-in-the-Loop Annotation of Mobile Eye Tracking Data. CoRR abs/2406.06239 (2024) - [i38]Daniel Sonntag, Michael Barz, Thiago S. Gouvêa:
A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE). CoRR abs/2406.19054 (2024) - [i37]Duy M. H. Nguyen, An T. Le, Trung Q. Nguyen, Nghiem T. Diep, Tai Nguyen, Duy Duong-Tran, Jan Peters, Li Shen, Mathias Niepert, Daniel Sonntag:
Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model. CoRR abs/2407.04489 (2024) - [i36]Aliki Anagnostopoulou, Thiago S. Gouvêa, Daniel Sonntag:
Enhancing Journalism with AI: A Study of Contextualized Image Captioning for News Articles using LLMs and LMMs. CoRR abs/2408.04331 (2024) - 2023
- [j26]Daniel Sonntag:
Avoid Predatory Journals. Künstliche Intell. 37(1): 1-3 (2023) - [j25]László Kopácsi, Benjámin Baffy, Gábor Baranyi, Joul Skaf, Gábor Sörös, Szilvia Szeier, András Lorincz, Daniel Sonntag:
Cross-Viewpoint Semantic Mapping: Integrating Human and Robot Perspectives for Improved 3D Semantic Reconstruction. Sensors 23(11): 5126 (2023) - [c135]Duy M. H. Nguyen, Hoang Nguyen, Truong Thanh Nhat Mai, Tri Cao, Binh T. Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag:
Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering. AAAI 2023: 14426-14435 - [c134]Siting Liang, Mareike Hartmann, Daniel Sonntag:
Cross-domain German Medical Named Entity Recognition using a Pre-Trained Language Model and Unified Medical Semantic Types. ClinicalNLP@ACL 2023: 259-271 - [c133]Enrico Bunde, Daniel Eisenhardt, Daniel Sonntag, Hans-Jürgen Profitlich, Christian Meske:
Giving DIAnA More TIME - Guidance for the Design of XAI-Based Medical Decision Support Systems. DESRIST 2023: 107-122 - [c132]Konstantin Kuznetsov, Michael Barz, Daniel Sonntag:
Detection of contract cheating in pen-and-paper exams through the analysis of handwriting style. ICMI Companion 2023: 26-30 - [c131]Thiago S. Gouvêa, Hannes Kath, Ilira Troshani, Bengt Lüers, Patricia P. Serafini, Ivan B. Campos, André S. Afonso, Sergio M. F. M. Leandro, Lourens Swanepoel, Nicholas Theron, Anthony M. Swemmer, Daniel Sonntag:
Interactive Machine Learning Solutions for Acoustic Monitoring of Animal Wildlife in Biosphere Reserves. IJCAI 2023: 6405-6413 - [c130]Hannes Kath, Thiago S. Gouvêa, Daniel Sonntag:
A Human-in-the-Loop Tool for Annotating Passive Acoustic Monitoring Datasets. IJCAI 2023: 7140-7144 - [c129]László Kopácsi, Michael Barz, Omair Shahzad Bhatti, Daniel Sonntag:
IMETA: An Interactive Mobile Eye Tracking Annotation Method for Semi-automatic Fixation-to-AOI mapping. IUI Companion 2023: 33-36 - [c128]Md Abdul Kadir, Abdulrahman Mohamed Selim, Michael Barz, Daniel Sonntag:
A User Interface for Explaining Machine Learning Model Explanations. IUI Companion 2023: 59-63 - [c127]Michael Barz, Omair Shahzad Bhatti, Hasan Md Tusfiqur Alam, Duy Minh Ho Nguyen, Daniel Sonntag:
Interactive Fixation-to-AOI Mapping for Mobile Eye Tracking Data based on Few-Shot Image Classification. IUI Companion 2023: 175-178 - [c126]Christoph Albert Johns, Michael Barz, Daniel Sonntag:
Interactive Link Prediction as a Downstream Task for Foundational GUI Understanding Models. KI 2023: 75-89 - [c125]Md Abdul Kadir, Gowtham Krishna Addluri, Daniel Sonntag:
Harmonizing Feature Attributions Across Deep Learning Architectures: Enhancing Interpretability and Consistency. KI 2023: 90-97 - [c124]Hannes Kath, Bengt Lüers, Thiago S. Gouvêa, Daniel Sonntag:
Lost in Dialogue: A Review and Categorisation of Current Dialogue System Approaches and Technical Solutions. KI 2023: 98-113 - [c123]Md Abdul Kadir, Hasan Md Tusfiqur Alam, Daniel Sonntag:
EdgeAL: An Edge Estimation Based Active Learning Approach for OCT Segmentation. MICCAI (2) 2023: 79-89 - [c122]Duy M. H. Nguyen, Hoang Nguyen, Nghiem Tuong Diep, Tan Ngoc Pham, Tri Cao, Binh T. Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Mathias Niepert:
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. NeurIPS 2023 - [c121]Aliki Anagnostopoulou, Mareike Hartmann, Daniel Sonntag:
Towards Adaptable and Interactive Image Captioning with Data Augmentation and Episodic Memory. SustaiNLP 2023: 245-256 - [i35]Siting Liang, Mareike Hartmann, Daniel Sonntag:
Cross-lingual German Biomedical Information Extraction: from Zero-shot to Human-in-the-Loop. CoRR abs/2301.09908 (2023) - [i34]Md Abdul Kadir, Fabrizio Nunnari, Daniel Sonntag:
Fine-tuning of explainable CNNs for skin lesion classification based on dermatologists' feedback towards increasing trust. CoRR abs/2304.01399 (2023) - [i33]Hannes Kath, Thiago S. Gouvêa, Daniel Sonntag:
A Deep Generative Model for Interactive Data Annotation through Direct Manipulation in Latent Space. CoRR abs/2305.15337 (2023) - [i32]Hannes Kath, Bengt Lüers, Thiago S. Gouvêa, Daniel Sonntag:
A Virtual Reality Tool for Representing, Visualizing and Updating Deep Learning Models. CoRR abs/2305.15353 (2023) - [i31]Aliki Anagnostopoulou, Mareike Hartmann, Daniel Sonntag:
Putting Humans in the Image Captioning Loop. CoRR abs/2306.03476 (2023) - [i30]Aliki Anagnostopoulou, Mareike Hartmann, Daniel Sonntag:
Towards Adaptable and Interactive Image Captioning with Data Augmentation and Episodic Memory. CoRR abs/2306.03500 (2023) - [i29]Duy M. H. Nguyen, Hoang Nguyen, Nghiem Tuong Diep, Tan Ngoc Pham, Tri Cao, Binh T. Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Mathias Niepert:
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. CoRR abs/2306.11925 (2023) - [i28]Md Abdul Kadir, Gowtham Krishna Addluri, Daniel Sonntag:
Harmonizing Feature Attributions Across Deep Learning Architectures: Enhancing Interpretability and Consistency. CoRR abs/2307.02150 (2023) - [i27]Md Abdul Kadir, Hasan Md Tusfiqur Alam, Daniel Sonntag:
EdgeAL: An Edge Estimation Based Active Learning Approach for OCT Segmentation. CoRR abs/2307.10745 (2023) - [i26]Duy Minh Ho Nguyen, Tan Ngoc Pham, Nghiem Tuong Diep, Nghi Quoc Phan, Quang Pham, Vinh Tong, Binh T. Nguyen, Ngan Hoang Le, Nhat Ho, Pengtao Xie, Daniel Sonntag, Mathias Niepert:
On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation. CoRR abs/2311.11096 (2023) - 2022
- [j24]Alexander Prange, Daniel Sonntag:
Modeling Users' Cognitive Performance Using Digital Pen Features. Frontiers Artif. Intell. 5: 787179 (2022) - [j23]Mareike Hartmann, Han Du, Nils Feldhus, Ivana Kruijff-Korbayová, Daniel Sonntag:
XAINES: Explaining AI with Narratives. Künstliche Intell. 36(3): 287-296 (2022) - [j22]Duy M. H. Nguyen, Thu T. Nguyen, Huong Vu, Quang Pham, Manh-Duy Nguyen, Binh T. Nguyen, Daniel Sonntag:
TATL: Task agnostic transfer learning for skin attributes detection. Medical Image Anal. 78: 102359 (2022) - [c120]Pablo Valdunciel, Omair Shahzad Bhatti, Michael Barz, Daniel Sonntag:
Interactive Assessment Tool for Gaze-based Machine Learning Models in Information Retrieval. CHIIR 2022: 332-336 - [c119]Duy M. H. Nguyen, Roberto Henschel, Bodo Rosenhahn, Daniel Sonntag, Paul Swoboda:
LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking. CVPR 2022: 8856-8865 - [c118]Konstantin Kuznetsov, Michael Barz, Daniel Sonntag:
SpellInk: Interactive Correction of Spelling Mistakes in Handwritten Text. HHAI 2022: 278-280 - [c117]Felix Céard-Falkenberg, Konstantin Kuznetsov, Alexander Prange, Michael Barz, Daniel Sonntag:
pEncode: A Tool for Visualizing Pen Signal Encodings in Real-Time. HHAI 2022: 281-284 - [c116]Thiago S. Gouvêa, Ilira Troshani, Marc Herrlich, Daniel Sonntag:
Annotating Sound Events Through Interactive Design of Interpretable Features. HHAI 2022: 305-306 - [c115]Omair Shahzad Bhatti, Michael Barz, Daniel Sonntag:
Leveraging Implicit Gaze-Based User Feedback for Interactive Machine Learning. KI 2022: 9-16 - [i25]Mareike Hartmann, Aliki Anagnostopoulou, Daniel Sonntag:
Interactive Machine Learning for Image Captioning. CoRR abs/2202.13623 (2022) - [i24]Mareike Hartmann, Daniel Sonntag:
A survey on improving NLP models with human explanations. CoRR abs/2204.08892 (2022) - [i23]Duy M. H. Nguyen, Hoang Nguyen, Mai Thanh Nhat Truong, Tri Cao, Binh T. Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag:
Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering. CoRR abs/2212.01893 (2022) - [i22]Hasan Md Tusfiqur Alam, Duy M. H. Nguyen, Mai Thanh Nhat Truong, Triet A. Nguyen, Binh T. Nguyen, Michael Barz, Hans-Jürgen Profitlich, Ngoc T. T. Than, Ngan Le, Pengtao Xie, Daniel Sonntag:
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading. CoRR abs/2212.14615 (2022) - 2021
- [j21]Michael Barz, Omair Shahzad Bhatti, Daniel Sonntag:
Implicit Estimation of Paragraph Relevance From Eye Movements. Frontiers Comput. Sci. 3: 808507 (2021) - [j20]Sebastian Kapp, Michael Barz, Sergey Mukhametov, Daniel Sonntag, Jochen Kuhn:
ARETT: Augmented Reality Eye Tracking Toolkit for Head Mounted Displays. Sensors 21(6): 2234 (2021) - [j19]Michael Barz, Daniel Sonntag:
Automatic Visual Attention Detection for Mobile Eye Tracking Using Pre-Trained Computer Vision Models and Human Gaze. Sensors 21(12): 4143 (2021) - [j18]Luisa Lauer, Kristin Altmeyer, Sarah Malone, Michael Barz, Roland Brünken, Daniel Sonntag, Markus Peschel:
Investigating the Usability of a Head-Mounted Display Augmented Reality Device in Elementary School Children. Sensors 21(19): 6623 (2021) - [c114]Fabrizio Nunnari, Hasan Md Tusfiqur Alam, Daniel Sonntag:
Anomaly Detection for Skin Lesion Images Using Replicator Neural Networks. CD-MAKE 2021: 225-240 - [c113]Fabrizio Nunnari, Md Abdul Kadir, Daniel Sonntag:
On the Overlap Between Grad-CAM Saliency Maps and Explainable Visual Features in Skin Cancer Images. CD-MAKE 2021: 241-253 - [c112]Alexander Prange, Michael Barz, Anika Heimann-Steinert, Daniel Sonntag:
Explainable Automatic Evaluation of the Trail Making Test for Dementia Screening. CHI 2021: 382:1-382:9 - [c111]Fabrizio Nunnari, Daniel Sonntag:
A Software Toolbox for Deploying Deep Learning Decision Support Systems with XAI Capabilities. EICS 2021: 44-49 - [c110]Michael Barz, Sebastian Kapp, Jochen Kuhn, Daniel Sonntag:
Automatic Recognition and Augmentation of Attended Objects in Real-time using Eye Tracking and a Head-mounted Display. ETRA Adjunct 2021: 3:1-3:4 - [c109]Omair Shahzad Bhatti, Michael Barz, Daniel Sonntag:
EyeLogin - Calibration-free Authentication Method for Public Displays Using Eye Gaze. ETRA Short Papers 2021: 14:1-14:7 - [c108]Michael Barz, Omair Shahzad Bhatti, Bengt Lüers, Alexander Prange, Daniel Sonntag:
Multisensor-Pipeline: A Lightweight, Flexible, and Extensible Framework for Building Multimodal-Multisensor Interfaces. ICMI Companion 2021: 13-18 - [c107]Fabrizio Nunnari, Abraham Obinwanne Ezema, Daniel Sonntag:
Crop It, but Not Too Much: The Effects of Masking on the Classification of Melanoma Images. KI 2021: 179-193 - [c106]Alexander Prange, Daniel Sonntag:
A Demonstrator for Interactive Image Clustering and Fine-Tuning Neural Networks in Virtual Reality. KI 2021: 194-203 - [c105]Duy M. H. Nguyen, Truong Thanh Nhat Mai, Ngoc T. T. Than, Alexander Prange, Daniel Sonntag:
Self-supervised Domain Adaptation for Diabetic Retinopathy Grading Using Vessel Image Reconstruction. KI 2021: 349-361 - [c104]Rajarshi Biswas, Michael Barz, Mareike Hartmann, Daniel Sonntag:
Improving German Image Captions Using Machine Translation and Transfer Learning. SLSP 2021: 3-14 - [c103]Alexander Prange, Daniel Sonntag:
Assessing Cognitive Test Performance Using Automatic Digital Pen Features Analysis. UMAP 2021: 33-43 - [i21]Ellák Somfai, Benjámin Baffy, Kristian Fenech, Changlu Guo, Rita Hosszú, Dorina Korózs, Fabrizio Nunnari, Marcell Pólik, Daniel Sonntag, Attila Ulbert, András Lorincz:
Minimizing false negative rate in melanoma detection and providing insight into the causes of classification. CoRR abs/2102.09199 (2021) - [i20]Duy M. H. Nguyen, Thu T. Nguyen, Huong Vu, Quang Pham, Manh-Duy Nguyen, Binh T. Nguyen, Daniel Sonntag:
TATL: Task Agnostic Transfer Learning for Skin Attributes Detection. CoRR abs/2104.01641 (2021) - [i19]Hans-Jürgen Profitlich, Daniel Sonntag:
A Case Study on Pros and Cons of Regular Expression Detection and Dependency Parsing for Negation Extraction from German Medical Documents. Technical Report. CoRR abs/2105.09702 (2021) - [i18]Duy M. H. Nguyen, Truong Thanh Nhat Mai, Ngoc T. T. Than, Alexander Prange, Daniel Sonntag:
Self-Supervised Domain Adaptation for Diabetic Retinopathy Grading using Vessel Image Reconstruction. CoRR abs/2107.09372 (2021) - [i17]Duy M. H. Nguyen, Roberto Henschel, Bodo Rosenhahn, Daniel Sonntag, Paul Swoboda:
LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking. CoRR abs/2111.11892 (2021) - 2020
- [j17]Daniel Sonntag:
AI in Medicine, Covid-19 and Springer Nature's Open Access Agreement. Künstliche Intell. 34(2): 123-125 (2020) - [j16]Rajarshi Biswas, Michael Barz, Daniel Sonntag:
Towards Explanatory Interactive Image Captioning Using Top-Down and Bottom-Up Features, Beam Search and Re-ranking. Künstliche Intell. 34(4): 571-584 (2020) - [c102]Fabrizio Nunnari, Chirag Bhuvaneshwara, Abraham Obinwanne Ezema, Daniel Sonntag:
A Study on the Fusion of Pixels and Patient Metadata in CNN-Based Classification of Skin Lesion Images. CD-MAKE 2020: 191-208 - [c101]Marimuthu Kalimuthu, Fabrizio Nunnari, Daniel Sonntag:
A Competitive Deep Neural Network Approach for the ImageCLEFmed Caption 2020 Task. CLEF (Working Notes) 2020 - [c100]Michael Barz, Sven Stauden, Daniel Sonntag:
Visual Search Target Inference in Natural Interaction Settings with Machine Learning. ETRA 2020: 1:1-1:8 - [c99]Duy Minh Ho Nguyen, Abraham Obinwanne Ezema, Fabrizio Nunnari, Daniel Sonntag:
A Visually Explainable Learning System for Skin Lesion Detection Using Multiscale Input with Attention U-Net. KI 2020: 313-319 - [c98]Fabrizio Nunnari, Abraham Obinwanne Ezema, Daniel Sonntag:
The Effects of Masking in Melanoma Image Classification with CNNs Towards International Standards for Image Preprocessing. MobiHealth 2020: 257-273 - [c97]Michael Barz, Kristin Altmeyer, Sarah Malone, Luisa Lauer, Daniel Sonntag:
Digital Pen Features Predict Task Difficulty and User Performance of Cognitive Tests. UMAP 2020: 23-32 - [i16]Daniel Sonntag, Fabrizio Nunnari, Hans-Jürgen Profitlich:
The Skincare project, an interactive deep learning system for differential diagnosis of malignant skin lesions. Technical Report. CoRR abs/2005.09448 (2020) - [i15]Marimuthu Kalimuthu, Fabrizio Nunnari, Daniel Sonntag:
A Competitive Deep Neural Network Approach for the ImageCLEFmed Caption 2020 Task. CoRR abs/2007.14226 (2020) - [i14]Duy M. H. Nguyen, Huong Vu, Binh T. Nguyen, Fabrizio Nunnari, Daniel Sonntag:
Attention with Multiple Sources Knowledges for COVID-19 from CT Images. CoRR abs/2009.11008 (2020)
2010 – 2019
- 2019
- [j15]Daniel Sonntag, Hans-Jürgen Profitlich:
An architecture of open-source tools to combine textual information extraction, faceted search and information visualisation. Artif. Intell. Medicine 93: 13-28 (2019) - [c96]Alexander Prange, Mira Niemann, Antje Latendorf, Anika Steinert, Daniel Sonntag:
Multimodal Speech-based Dialogue for the Mini-Mental State Examination. CHI Extended Abstracts 2019 - [c95]Michael Barz, Daniel Sonntag:
Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates Using Machine Learning. IWSDS 2019: 367-379 - [c94]Rajarshi Biswas, Aditya Mogadala, Michael Barz, Daniel Sonntag, Dietrich Klakow:
Automatic Judgement of Neural Network-Generated Image Captions. SLSP 2019: 261-272 - [c93]Alexander Prange, Daniel Sonntag:
Modeling Cognitive Status through Automatic Scoring of a Digital Version of the Clock Drawing Test. UMAP 2019: 70-77 - [c92]Marimuthu Kalimuthu, Michael Barz, Daniel Sonntag:
Incremental Domain Adaptation for Neural Machine Translation in Low-Resource Settings. WANLP@ACL 2019 2019: 1-10 - [p5]Daniel Sonntag:
Medical and health systems. The Handbook of Multimodal-Multisensor Interfaces, Volume 3 (3) 2019 - [e3]Sharon L. Oviatt, Björn W. Schuller, Philip R. Cohen, Daniel Sonntag, Gerasimos Potamianos, Antonio Krüger:
The Handbook of Multimodal-Multisensor Interfaces: Language Processing, Software, Commercialization, and Emerging Directions - Volume 3. Association for Computing Machinery 2019, ISBN 978-1-970001-75-4 [contents] - [i13]Fabrizio Nunnari, Daniel Sonntag:
A CNN toolbox for skin cancer classification. CoRR abs/1908.08187 (2019) - [i12]Michael Barz, Daniel Sonntag:
Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning. CoRR abs/1908.10149 (2019) - [i11]Hans-Jürgen Profitlich, Daniel Sonntag:
Interactivity and Transparency in Medical Risk Assessment with Supersparse Linear Integer Models. CoRR abs/1911.12119 (2019) - 2018
- [j14]