Causal Graphs and Fairness in Machine Learning: Addressing Practical Challenges in Causal Fairness Evaluation.
|
JAIR |
2025 |
0 |
Training-Free Score Calibration for Complex Query Decomposition.
|
ESWC |
2025 |
1 |
Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization.
|
ICLR |
2025 |
0 |
RAISE the Bar: Restriction of Action Spaces for Improved Social Welfare and Equity in Traffic Management.
|
AAMAS |
2024 |
2 |
History Repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting.
|
IJCAI |
2024 |
12 |
Fact Probability Vector Based Goal Recognition.
|
ECAI |
2024 |
0 |
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs.
|
NIPS/NeurIPS |
2024 |
24 |
PyClause - Simple and Efficient Rule Handling for Knowledge Graphs.
|
IJCAI |
2024 |
4 |
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data.
|
NIPS/NeurIPS |
2024 |
13 |
Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods.
|
IJCAI |
2024 |
0 |
GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent.
|
AAAI |
2024 |
0 |
GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data.
|
ICLR |
2024 |
0 |
Explaining neural networks without access to training data.
|
MLJ |
2024 |
0 |
Outlying Aspect Mining via Sum-Product Networks.
|
PAKDD |
2023 |
1 |
Towards Utilitarian Online Learning - A Review of Online Algorithms in Open Feature Space.
|
IJCAI |
2023 |
14 |
Learning Disentangled Discrete Representations.
|
ECML/PKDD |
2023 |
2 |
Activity Recommendation for Business Process Modeling with Pre-trained Language Models.
|
ESWC |
2023 |
6 |
Rule-based Knowledge Graph Completion with Canonical Models.
|
CIKM |
2023 |
11 |
Online Random Feature Forests for Learning in Varying Feature Spaces.
|
AAAI |
2023 |
16 |
Comparing Apples and Oranges? On the Evaluation of Methods for Temporal Knowledge Graph Forecasting.
|
ECML/PKDD |
2023 |
20 |
Supervised Knowledge Aggregation for Knowledge Graph Completion.
|
ESWC |
2022 |
11 |
Adversarial Explanations for Knowledge Graph Embeddings.
|
IJCAI |
2022 |
23 |
Exchangeability-Aware Sum-Product Networks.
|
IJCAI |
2022 |
0 |
Come hither or go away? Recognising pre-electoral coalition signals in the news.
|
EMNLP |
2021 |
1 |
Unsupervised stance detection for arguments from consequences.
|
EMNLP |
2020 |
29 |
A Spreading Activation Framework for Tracking Conceptual Complexity of Texts.
|
ACL |
2019 |
10 |
Anytime Bottom-Up Rule Learning for Knowledge Graph Completion.
|
IJCAI |
2019 |
235 |
PRoFET: Predicting the Risk of Firms from Event Transcripts.
|
IJCAI |
2019 |
21 |
Leveraging Graph Neighborhoods for Efficient Inference.
|
CIKM |
2019 |
0 |
Fine-Grained Evaluation of Rule- and Embedding-Based Systems for Knowledge Graph Completion.
|
ISWC |
2018 |
217 |
Towards Partition-Aware Lifted Inference.
|
CIKM |
2018 |
0 |
Marrying Uncertainty and Time in Knowledge Graphs.
|
AAAI |
2017 |
64 |
Automatic Assessment of Absolute Sentence Complexity.
|
IJCAI |
2017 |
21 |
Automated Fine-Grained Trust Assessment in Federated Knowledge Bases.
|
ISWC |
2017 |
2 |
Sentence Alignment Methods for Improving Text Simplification Systems.
|
ACL |
2017 |
26 |
Unsupervised recognition of interleaved activities of daily living through ontological and probabilistic reasoning.
|
UbiComp |
2016 |
96 |
Schema-Based Debugging of Federated Data Sources.
|
ECAI |
2016 |
6 |
Markov Logic Networks with Numerical Constraints.
|
ECAI |
2016 |
20 |
Group Decision Making via Probabilistic Belief Merging.
|
IJCAI |
2016 |
6 |
Fast Approximate A-Box Consistency Checking Using Machine Learning.
|
ESWC |
2016 |
30 |
Towards Decision Making via Expressive Probabilistic Ontologies.
|
ADT |
2015 |
5 |
Enriching Structured Knowledge with Open Information.
|
WWW |
2015 |
42 |
On the Status of Experimental Research on the Semantic Web.
|
ISWC |
2013 |
2 |
A probabilistic ontological framework for the recognition of multilevel human activities.
|
UbiComp |
2013 |
109 |
RockIt: Exploiting Parallelism and Symmetry for MAP Inference in Statistical Relational Models.
|
AAAI |
2013 |
105 |
Benchmarking Matching Applications on the Semantic Web.
|
ESWC |
2011 |
36 |
Fine-Grained Sentiment Analysis with Structural Features.
|
IJCNLP |
2011 |
156 |
Log-Linear Description Logics.
|
IJCAI |
2011 |
71 |
Leveraging Terminological Structure for Object Reconciliation.
|
ESWC |
2010 |
99 |
A Probabilistic-Logical Framework for Ontology Matching.
|
AAAI |
2010 |
90 |
A Reasoning-Based Support Tool for Ontology Mapping Evaluation.
|
ESWC |
2009 |
20 |
Improving Ontology Matching Using Meta-level Learning.
|
ESWC |
2009 |
75 |
Supporting Manual Mapping Revision using Logical Reasoning.
|
AAAI |
2008 |
36 |
Repairing Ontology Mappings.
|
AAAI |
2007 |
148 |
A Study in Empirical and 'Casuistic' Analysis of Ontology Mapping Results.
|
ESWC |
2007 |
30 |
Partial Matchmaking using Approximate Subsumption.
|
AAAI |
2007 |
30 |
Toward Multi-viewpoint Reasoning with OWL Ontologies.
|
ESWC |
2006 |
28 |
A Framework for Handling Inconsistency in Changing Ontologies.
|
ISWC |
2005 |
261 |
A Formal Investigation of Mapping Language for Terminological Knowledge.
|
IJCAI |
2005 |
52 |
Approximating Description Logic Classification for Semantic Web Reasoning.
|
ESWC |
2005 |
53 |
Reasoning with Multi-version Ontologies: A Temporal Logic Approach.
|
ISWC |
2005 |
92 |
Structure-Based Partitioning of Large Concept Hierarchies.
|
ISWC |
2004 |
243 |
Index structures and algorithms for querying distributed RDF repositories.
|
WWW |
2004 |
126 |
C-OWL: Contextualizing Ontologies.
|
ISWC |
2003 |
539 |
Integrity and Change in Modular Ontologies.
|
IJCAI |
2003 |
107 |