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- Martin Atzmüller
aka: Martin Atzmueller
Osnabrück University, Germany
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Publication search results
found 244 matches
- 2024
- Slawomir Nowaczyk, Przemyslaw Biecek, Neo Christopher Chung, Mauro Vallati, Pawel Skruch, Joanna Jaworek-Korjakowska, Simon Parkinson, Alexandros Nikitas, Martin Atzmüller, Tomás Kliegr, Ute Schmid, Szymon Bobek, Nada Lavrac, Marieke Peeters, Roland van Dierendonck, Saskia Robben, Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Karl Mason, Abdul Wahid, Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Giorgio Terracina, Diedrich Wolter, Jochen L. Leidner, Michael Kohlhase, Vania Dimitrova:
Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part I. Communications in Computer and Information Science 1947, Springer 2024, ISBN 978-3-031-50395-5 [contents] - Slawomir Nowaczyk, Przemyslaw Biecek, Neo Christopher Chung, Mauro Vallati, Pawel Skruch, Joanna Jaworek-Korjakowska, Simon Parkinson, Alexandros Nikitas, Martin Atzmüller, Tomás Kliegr, Ute Schmid, Szymon Bobek, Nada Lavrac, Marieke Peeters, Roland van Dierendonck, Saskia Robben, Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Karl Mason, Abdul Wahid, Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Giorgio Terracina, Diedrich Wolter, Jochen L. Leidner, Michael Kohlhase, Vania Dimitrova:
Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part II. Communications in Computer and Information Science 1948, Springer 2024, ISBN 978-3-031-50484-6 [contents] - 2023
- Parisa Shayan, Roberto Rondinelli, Menno van Zaanen, Martin Atzmueller:
Multi-Level Analysis of Learning Management Systems' User Acceptance Exemplified in Two System Case Studies. Data 8(3): 45 (2023) - Mouloud Iferroudjene, Corentin Lonjarret, Céline Robardet, Marc Plantevit, Martin Atzmueller:
Methods for explaining Top-N recommendations through subgroup discovery. Data Min. Knowl. Discov. 37(2): 833-872 (2023) - Carolina Centeio Jorge, Martin Atzmueller, Behzad Momahed Heravi, Jenny L. Gibson, Rosaldo J. F. Rossetti, Cláudio Rebelo de Sá:
"Want to come play with me?" Outlier subgroup discovery on spatio-temporal interactions. Expert Syst. J. Knowl. Eng. 40(5) (2023) - Stefan Bloemheuvel, Jurgen van den Hoogen, Dario Jozinovic, Alberto Michelini, Martin Atzmueller:
Graph neural networks for multivariate time series regression with application to seismic data. Int. J. Data Sci. Anal. 16(3): 317-332 (2023) - J. M. Górriz, I. Álvarez Illán, Agustín Álvarez Marquina, Juan Eloy Arco, Martin Atzmüller, F. Ballarini, Emilia I. Barakova, Guido Bologna, María Paula Bonomini, Germán Castellanos-Domínguez, Diego Castillo-Barnes, S. B. Cho, A. Ricardo Contreras, J. M. Cuadra, Enrique Domínguez, Francisco Domínguez-Mateos, Richard J. Duro, David A. Elizondo, Antonio Fernández-Caballero, Eduardo Fernández, Marco A. Formoso, Nicolás Gallego-Molina, Javier Gamazo, Javier González Jiménez, Jacob Rodriguez-Rivero, Carlos Garre del Olmo, F. Javier Garrigós, Andrés Gómez-Rodellar, Pedro Gómez Vilda, Manuel Graña, Bernabé Rodríguez-Tapia, Sophie C. F. Hendrikse, Carmen Jimenez-Mesa, Marina Jodra-Chuan, Vicente Julián, G. Gabriela Kotz, Krzysztof Kutt, Matthew Leming, Javier de Lope Asiaín, Beatriz del Cisne Macas Ordónez, V. Marrero-Aguiar, José Javier Martínez, Francisco Jesús Martínez-Murcia, Rafael Martínez-Tomás, Jirí Mekyska, Grzegorz J. Nalepa, Paulo Novais, D. Orellana, Andrés Ortiz, Daniel Palacios-Alonso, José T. Palma, António Pereira, Pedro Pinacho Davidson, M. A. Pinninghoff, M. Ponticorvo, Alexandra Psarrou, Javier Ramírez, Mariano Rincón, V. Rodellar-Biarge, Ignacio Rodríguez-Rodríguez, Peter H. M. P. Roelofsma, José Santos, Diego Salas-Gonzalez, Pedro Salcedo Lagos, Fermín Segovia, Afshin Shoeibi, M. Silva, Dragan Simic, John Suckling, Jan Treur, Athanasios Tsanas, Ramiro Varela, S. H. Wang, Wei Wang, Y. D. Zhang, Hengde Zhu, Z. Zhu, J. M. Ferrández-Vicente:
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends. Inf. Fusion 100: 101945 (2023) - Jurgen van den Hoogen, Dan Hudson, Stefan Bloemheuvel, Martin Atzmueller:
Hyperparameter Analysis of Wide-Kernel CNN Architectures in Industrial Fault Detection - An Exploratory Study. DSAA 2023: 1-2 - Maciej Szelazek, Dan Hudson, Szymon Bobek, Grzegorz J. Nalepa, Martin Atzmueller:
Enhanced Explanations for Knowledge-Augmented Clustering using Subgroup Discovery. DSAA 2023: 1-11 - Dan Hudson, Martin Atzmueller:
Subgroup Discovery with SD4Py. ECAI Workshops (1) 2023: 338-348 - Dietmar Seipel, Marcel Waleska, Daniel Weidner, Sven Rausch, Martin Atzmueller:
Post-mining on Association Rule Bases. ECAI Workshops (2) 2023: 23-35 - Martin Atzmueller, Sophia Sylvester, Rushed Kanawati:
Exploratory and Explanation-Aware Network Intrusion Profiling using Subgroup Discovery and Complex Network Analysis. EICC 2023: 153-158 - Leonid Schwenke, Martin Atzmueller:
Making Time Series Embeddings More Interpretable in Deep Learning - Extracting Higher-Level Features via Symbolic Approximation Representations. FLAIRS 2023 - Leonid Schwenke, Stefan Bloemheuvel, Martin Atzmueller:
Identifying Informative Nodes in Attributed Spatial Sensor Networks Using Attention for Symbolic Abstraction in a GNN-based Modeling Approach. FLAIRS 2023 - Freddy Sikouonmeu, Martin Atzmueller:
Active-learning-driven deep interactive segmentation for cost-effective labeling of crop-weed image data. GIL Jahrestagung 2023: 507-512 - Dan Hudson, Ruud J. R. Den Hartigh, L. Rens A. Meerhoff, Martin Atzmueller:
Explainable Multi-Modal and Local Approaches to Modelling Injuries in Sports Data. ICDM (Workshops) 2023: 949-957 - Timo Markert, Elias Hoerner, Sebastian Matich, Andreas Theissler, Martin Atzmueller:
Robotic Peg-in-Hole Insertion with Tight Clearances: A Force-based Deep Q-Learning Approach. ICMLA 2023: 1045-1051 - Martin ben Ahmed, Niklas Wilming, Martin Atzmueller:
Graph Neural Network-Based Measurement Inference on Irregular Sensor Geometries. INDIN 2023: 1-8 - Felix Gerschner, Jonas Paul, Lukas Schmid, Nico Barthel, Victor Gouromichos, Florian Schmid, Martin Atzmueller, Andreas Theissler:
Domain Transfer for Surface Defect Detection using Few-Shot Learning on Scarce Data. INDIN 2023: 1-7 - Harihara Bharathy Swaminathan, Aron Sommer, Andreas Becker, Martin Atzmueller:
Spatial Change Detection Using Automotive Radar. ITSC 2023: 4066-4071 - Tim Bohne, Anne-Kathrin Patricia Windler, Martin Atzmueller:
A Neuro-Symbolic Approach for Anomaly Detection and Complex Fault Diagnosis Exemplified in the Automotive Domain. K-CAP 2023: 35-43 - Eric Lanfer, Sophia Sylvester, Nils Aschenbruck, Martin Atzmueller:
Leveraging Explainable AI Methods Towards Identifying Classification Issues on IDS Datasets. LCN 2023: 1-4 - Andreas Schliebitz, Heiko Tapken, Martin Atzmueller:
Preprocessing Ground-Based Hyperspectral Image Data for Improving CNN-based Classification. LWDA 2023: 399-413 - Leonid Schwenke, Martin Atzmueller:
Extracting Interpretable Local and Global Representations from Attention on Time Series. CoRR abs/2312.11466 (2023) - 2022
- Harihara Bharathy Swaminathan, Aron Sommer, Andreas Becker, Martin Atzmueller:
Performance Evaluation of GNSS Position Augmentation Methods for Autonomous Vehicles in Urban Environments. Sensors 22(21): 8419 (2022) - Parisa Shayan, Menno van Zaanen, Martin Atzmueller:
Predicting User Dropout from Their Online Learning Behavior. DS 2022: 243-252 - Martin Atzmueller, Rushed Kanawati:
Explainability in Cyber Security using Complex Network Analysis: A Brief Methodological Overview. EICC 2022: 49-52 - Arnab Ghosh Chowdhury, Martin ben Ahmed, Martin Atzmueller:
Towards Tabular Data Extraction From Richly-Structured Documents Using Supervised and Weakly-Supervised Learning. ETFA 2022: 1-4 - Timo Markert, Sebastian Matich, Daniel Neykov, Markus Muenig, Andreas Theissler, Martin Atzmueller:
Visual Detection of Tiny and Transparent Objects for Autonomous Robotic Pick-and-Place Operations. ETFA 2022: 1-4 - Parisa Shayan, Martin Atzmueller, Menno van Zaanen:
Assessing the Influence of Time on Features for the Prediction of User Dropout. ICTAI 2022: 1022-1027
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