677 results on '"Heiner Stuckenschmidt"'
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52. Investigating the Combination of Planning-Based and Data-Driven Methods for Goal Recognition.
53. Leveraging Planning Landmarks for Hybrid Online Goal Recognition.
54. On the Aggregation of Rules for Knowledge Graph Completion.
55. Learning Decision Trees with Gradient Descent.
56. Come hither or go away? Recognising pre-electoral coalition signals in the news.
57. A Rule-Based Recommendation Approach for Business Process Modeling.
58. Sketch2BPMN: Automatic Recognition of Hand-Drawn BPMN Models.
59. Backpropagating through Markov Logic Networks.
60. DiagramNet: Hand-Drawn Diagram Recognition Using Visual Arrow-Relation Detection.
61. Governing Black-Box Agents in Competitive Multi-Agent Systems.
62. Towards Trace-Graphs for Data-driven Test Case Mining in the Domain of Automated Driving.
63. Combining Symbolic and Statistical Knowledge for Goal Recognition in Smart Home Environments.
64. On the Use of Knowledge Graph Completion Methods for Activity Recommendation in Business Process Modeling.
65. Unsupervised stance detection for arguments from consequences.
66. Explaining Differences Between Unaligned Table Snapshots.
67. Knowledge Graphs meet Moral Values.
68. Neural Architecture Performance Prediction Using Graph Neural Networks.
69. Metrics Performance Analysis of Optical Flow.
70. Restructuring of Hoeffding Trees for Trapezoidal Data Streams.
71. Improving Smart Charging Prioritization by Predicting Electric Vehicle Departure Time.
72. Political Text Scaling Meets Computational Semantics.
73. Open Source Algorithm for Smart Charging of Electric Vehicle Fleets.
74. Arrow R-CNN for handwritten diagram recognition.
75. POLARIS: Probabilistic and Ontological Activity Recognition in Smart-Homes.
76. iDropout: Leveraging Deep Taylor Decomposition for the Robustness of Deep Neural Networks.
77. Time-Aware Probabilistic Knowledge Graphs.
78. Unsupervised Fine-tuning of Optical Flow for Better Motion Boundary Estimation.
79. Fast Interval Joins for Temporal SPARQL Queries.
80. Enhancing a Crowd-based Delivery Network with Mobility Predictions.
81. PRoFET: Predicting the Risk of Firms from Event Transcripts.
82. Anytime Bottom-Up Rule Learning for Knowledge Graph Completion.
83. A Spreading Activation Framework for Tracking Conceptual Complexity of Texts.
84. Leveraging Graph Neighborhoods for Efficient Inference.
85. Arrow R-CNN for Flowchart Recognition.
86. Exploiting Background Knowledge for Argumentative Relation Classification.
87. An Introduction to AnyBURL.
88. Action Recognition Using Local Visual Descriptors and Inertial Data.
89. On the Combination of IMU and Optical Flow for Action Recognition.
90. Vision and Acceleration Modalities: Partners for Recognizing Complex Activities.
91. Towards Explaining Natural Language Arguments with Background Knowledge.
92. Explaining Financial Uncertainty through Specialized Word Embeddings.
93. Explaining Arguments with Background Knowledge.
94. Top-Down Influence? Predicting CEO Personality and Risk Impact from Speech Transcripts.
95. Explaining Neural Networks without Access to Training Data.
96. Outlier Explanation via Sum-Product Networks.
97. Knowledge Injection via ML-based Initialization of Neural Networks.
98. Why a Naive Way to Combine Symbolic and Latent Knowledge Base Completion Works Surprisingly Well.
99. Robust Decision Tree Induction from Unreliable Data Sources.
100. Next Steps in Knowledge-driven Architecture Composition.
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