All publications sorted by journal and type
| 1-50 | 51-100 | 101-150 | 151-200 | 201-250 | 251-300 | 301-350 | 351-400 | 401-450 | 451-500 | 501-550 | 551-600 | 601-650 | 651-700 | 701-750 | 751-800 | 801-850 | 851-900 | 901-950 | 951-1000 | 1001-1050 | 1051-1100 | 1101-1150 | 1151-1200 | 1201-1250 | 1251-1300 | 1301-1350 | 1351-1400 | 1401-1450 | 1451-1500 | 1501-1550 | 1551-1600 | 1601-1650 | 1651-1700 | 1701-1750 | 1751-1800 | 1801-1850 | 1851-1900 | 1901-1950 | 1951-2000 | 2001-2050 | 2051-2100 | 2101-2150 | 2151-2200 | 2201-2250 | 2251-2300 | 2301-2350 | 2351-2400 | 2401-2450 | 2451-2500 | 2501-2550 | 2551-2600 | 2601-2650 | 2651-2700 | 2701-2750 | 2751-2800 | 2801-2850 | 2851-2891 |
Publications of type Inproceedings
2020
| , , and , A Walk Down Memory Lane: On Storage Capacity in Opportunistic Content Sharing Systems, in: IEEE WOWMOM 2020, IEEE, 2020 |
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| , , and , Agent-Based Explanations in AI: Towards an Abstract Framework, in: Post-Proceedings o EXTRAAMAS 2020, Springer, 2020 |
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| , , and , An Abstract Framework for Agent-Based Explanations in AI, in: Proceedings of International Conference on Autonomous Agents and Multi-Agent Systems 2020, 2020 |
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| , , , , , , and , An Exploration of Uncertainty Information for Segmentation Quality Assessment, in: SPIE Medical Imaging 2020: Image Processing, Houston, TX, USA, pages 381-390, SPIE, 2020 |
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| , , , , , , , and , Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans, in: Medical Imaging with Deep Learning, Montréal, Canada, 2020 |
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| , , , and , Automating quality control for standardized structured radiology reports using text analysis, in: ECR 2020, Vienna, Austria, 2020 |
| , , , , , and , Automating Quality Control for Structured Standardized Radiology Reports Using Text Analysis., in: Medical Informatics Europe 2020, Geneva, pages 58--62, IOS Press, 2020 |
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| , , , , , and , Comparison of feature selection in radiomics for the prediction of overall survival after radiotherapy for hepatocellular carcinoma, in: IEEE Engineering in Medicine and Biology Conference, 2020 |
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| , , and , Consistency of Scale Covariance in Internal Representations of CNNs, in: Irish Machine Vision and Image Processing Conference, 2020 |
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| , and , Decentralized Management of Patient Profiles and Trajectories through Semantic Web Agents, in: Proceedings of the Third International Workshop on Semantic Web Meets Health Data Management (SWH 2020) co-located with the 19th International Semantic Web Conference (ISWC 2020), pages 19--29, CEUR-WS.org, 2020 |
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| , , and , DeepNDN: Opportunistic Data Replication and Caching in Support of Vehicular Named Data, in: IEEE WOWMOM 2020, Cork, IEEE, 2020 |
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| , , , and , Effect of movement type on the classification of electromyography data for the control of dexterous prosthetic hands, in: Biorob, International Conference on Biomedical Robotics & Biomechatronics, New York City, NY, USA, 2020 |
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| , , , , , and , Ethical Concerns and Opportunities in Binding Intelligent Systems and Blockchain Technology, in: Highlights in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness, The PAAMS Collection, pages 5-16, Springer, 2020 |
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| , , , and , Exploiting the PubMed Central repository to mine out a large multimodal dataset of rare cancer studies, in: SPIE Medical Imaging, Houston, TX, USA, 2020 |
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| , , and , Eye-hand coordination to improve grasp-type recognition in hand prostheses, in: Cybathlon Symposium, Zürich, Switzerland, 2020 |
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| , , and , Generalizing Convolution Neural Networks on Stain Color Heterogeneous Data for Computational Pathology, in: SPIE Medical Imaging, Houston, TX, USA,, 2020 |
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| , and , ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications, in: ECIR 2020, Lisbon Portugal, Springer LNCS, 2020, 2020 |
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| , , , and , In-time Explainability in Multi-Agent Systems: Challenges, Opportunities, and Roadmap, in: Post-Proceedings o EXTRAAMAS 2020, 2020 |
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| , and , Indian Life Science Journals: A Quest for Recognition, Citation, and Impact, in: Recent Trends in Science and Technology, pages 204-213, 2020 |
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| , , , and , Interpretable CNN Pruning for Preserving Scale-Covariant Features in Medical Imaging, in: Workshop on Interpretability of Machine Intelligence in Medical Image Computing at MICCAI 2020, 2020 |
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| and , Learning-Based Affine Registration of Histological Images, in: International Workshop on Biomedical Image Registration, Springer, pages 12--22, 2020 |
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| , , , , , , , , , , , , , , and , LifeCLEF 2020 Teaser: Biodiversity Identification and Prediction Challenges, in: ECIR 2020, Lisbon, Portugal, Springer LNCS, 2020 |
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| , , and , Machine Learning Assisted Citation Screening for Systematic Reviews, in: Medical Informatics Europe 2020, Geneva, Switzerland, 2020 |
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| , Medical Image Retrieval: Applications and Resources, in: International Conference on Multimedia Retrieval, 2020 |
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| , , , and , Multimodal Latent Semantic Alignment for Automated Prostate Tissue Classification and Retrieval, in: MICCAI, Lima, Peru, 2020 |
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| and , On Developing A More Comprehensive Decision-Making Architecture for Empirical Social Research: Lesson from Agent-Based Simulation of Mobility Demands in Switzerland, in: Multi-Agent-Based Simulation XX, pages 39--54, Springer International Publishing, 2020 |
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| , and , Oropharynx Detection in PET-CT for Tumor Segmentation, in: Irish Machine Vision and Image Processing Conference, 2020, 2020 |
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| , , , , and , Overview of ImageCLEFtuberculosis 2020: Automatic CT-based report generation, in: CLEF working notes, CEUR, 2020 |
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| , , , , , , , , , , , , , , , , and , Overview of LifeCLEF 2020: a System-oriented Evaluation of Automated Species Identification and Species Distribution Prediction, Thessaloniki, Greece, Springer LNCS, 2020 |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical Lifelogging, Nature and Internet Applications, in: CLEF Proceedings, 2020 |
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| , , and , Overview of the ImageCLEFmed 2020 Concept Prediction Task: Medical Image Understanding, in: CLEF working notes, CEUR, 2020 |
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| , , , and , Overview of the VQA-Med Task at ImageCLEF 2020: Visual Question Answering and Generation in the Medical Domain, in: CLEF workingnotes 2020, Thessaloniki Greece,, 2020 |
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| , and , Personal Data Privacy Semantics in Multi-Agent Systems Interactions, in: Proceedings of 18th International Conference on Practical Applications of Agents and Multi-Agent Systems, Aquila, Italy, pages 55-67, 2020 |
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| , , , , and , Prospects and Challenges of Radiomics by Using Nononcologic Routine Chest CT, in: Radiology: Cardiothoracic Imaging, 2020 |
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| , , and , Quasi-experiment to measure the suitability of design innovation in service processes - The case of autonomous vehicles for mobility service, 16th International Research Conference in Service Management, 2020 |
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| , , and , RT-BDI: A Real-Time BDI model, in: Proceedings of 18th International Conference on Practical Applications of Agents and Multi-Agent Systems, 2020 |
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| , , and , SEAMLESS: Simulation and Analysis for Multi-Agent System in Time-Constrained Environments, in: Proceedings of 18th International Conference on Practical Applications of Agents and Multi-Agent Systems, Aquila, Italy, pages 392-397, Springer, 2020 |
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| , , , , and , Semantic Data Models for Hiking Trail Difficulty Assessment, in: ENTER Information and Communication Technologies in Tourism, pages 295-306, Springer, 2020 |
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| , , and , Semi-Weakly Supervised Learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional Networks, in: MICCAI workshop Labels, Lima, Peru, 2020 |
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| , Test, 2020 |
| , and , The co-Innovation Bingo: An Object-Oriented Networking Mechanism to innovate in Open Innovation Services, Split, Croatia, ENTerprise REsearch InNOVAtion Conference - ENTRENOVA, 2020 |
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| , , and , The Impact of Labelling Journalistic Content on Readership, in: Proceedings of the 12th Conference of New European Media Summit Initiative, New European Media, Dublin, Ireland (Online), 2020 |
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| and , Towards a Theory of Collaborative Innovation: The Emergence of the Three Doors Model, Berkeley, USA, World Open Innovation Conference WOIC, 2020 |
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| , and , Towards Retraining of Machine Learning Algorithms: An Efficiency Analysis Applied to Smart Agriculture, in: 2020 Global Internet of Things Summit (GIoTS), Dublin, Ireland, pages 1-6, IEEE, 2020 |
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| , , , , and , Training a deep neural network for small and highly heterogeneous MRID datasets for cancer grading, in: EMBC Conference, IEEE, 2020 |
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| , , , , and , Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer Grading, in: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC), IEEE, pages 1758--1761, 2020 |
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| and , Unsupervised Learning-based non-rigid registration of high resolution histology images, in: MICCAI workshop on Machine Learning in Medical Imaging, Springer, 2020 |
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| , , , , and , Using Publicly Available Medical Images from the Open Access Literature and Social Networks for Model Training and Knowledge Extraction, in: Multimedia Modeling (MMM 2020), Seoul, Korea, 2020 |
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2019
| , , and , A Descriptive Attribute-Based Framework for Annotations in Data Visualization, in: Computer Vision, Imaging and Computer Graphics Theory and Applications, pages 143-166, {Springer International Publishing}, 2019 |
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| , , and , A Graph Model of the Lungs with Morphology-based Structure for Tuberculosis Type Classification, in: The 26th International Conference on Information Processing in Medical Imaging (IPMI), 2019 |
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| 1-50 | 51-100 | 101-150 | 151-200 | 201-250 | 251-300 | 301-350 | 351-400 | 401-450 | 451-500 | 501-550 | 551-600 | 601-650 | 651-700 | 701-750 | 751-800 | 801-850 | 851-900 | 901-950 | 951-1000 | 1001-1050 | 1051-1100 | 1101-1150 | 1151-1200 | 1201-1250 | 1251-1300 | 1301-1350 | 1351-1400 | 1401-1450 | 1451-1500 | 1501-1550 | 1551-1600 | 1601-1650 | 1651-1700 | 1701-1750 | 1751-1800 | 1801-1850 | 1851-1900 | 1901-1950 | 1951-2000 | 2001-2050 | 2051-2100 | 2101-2150 | 2151-2200 | 2201-2250 | 2251-2300 | 2301-2350 | 2351-2400 | 2401-2450 | 2451-2500 | 2501-2550 | 2551-2600 | 2601-2650 | 2651-2700 | 2701-2750 | 2751-2800 | 2801-2850 | 2851-2891 |