| Early Detection of Extreme Storm Tide Events Using Multimodal Data Processing.   | AAAI | 2024 | 0 | 
        
        
            | dPASP: A Probabilistic Logic Programming Environment For Neurosymbolic Learning and Reasoning.   | KR | 2024 | 0 | 
        
        
            | Abductive Reasoning in Logical Credal Networks.   | NIPS/NeurIPS | 2024 | 0 | 
        
        
            | Credal Marginal MAP.   | NIPS/NeurIPS | 2023 | 0 | 
        
        
            | A Credal Least Undefined Stable Semantics for Probabilistic Logic Programs and Probabilistic Argumentation.   | KR | 2022 | 1 | 
        
        
            | Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean.   | CIKM | 2021 | 5 | 
        
        
            | The Finite Model Theory of Bayesian Networks: Descriptive Complexity.   | IJCAI | 2018 | 0 | 
        
        
            | A Fully Attention-Based Information Retriever.   | IJCNN | 2018 | 4 | 
        
        
            | The complexity of Bayesian networks specified by propositional and relational languages.   | Artificial Intelligence | 2018 | 0 | 
        
        
            | On the Semantics and Complexity of Probabilistic Logic Programs.   | JAIR | 2017 | 17 | 
        
        
            | Bayesian Networks Specified Using Propositional and Relational Constructs: Combined, Data, and Domain Complexity.   | AAAI | 2015 | 15 | 
        
        
            | Sequential decision making with partially ordered preferences.   | Artificial Intelligence | 2011 | 43 | 
        
        
            | Complexity Analysis and Variational Inference for Interpretation-based Probabilistic Description Logic.   | UAI | 2009 | 34 | 
        
        
            | Planning under Risk and Knightian Uncertainty.   | IJCAI | 2007 | 44 | 
        
        
            | Semisupervised Learning of Classifiers: Theory, Algorithms, and Their Application to Human-Computer Interaction.   | TPAMI | 2004 | 244 | 
        
        
            | Propositional and Relational Bayesian Networks Associated with Imprecise and Qualitat.   | UAI | 2004 | 26 | 
        
        
            | Axiomatizing Noisy-OR.   | ECAI | 2004 | 35 | 
        
        
            | Semi-Supervised Learning of Mixture Models.   | ICML | 2003 | 226 | 
        
        
            | Inference in Polytrees with Sets of Probabilities.   | UAI | 2003 | 0 | 
        
        
            | Inference with Seperately Specified Sets of Probabilities in Credal Networks.   | UAI | 2002 | 42 | 
        
        
            | Credal networks.   | Artificial Intelligence | 2000 | 351 | 
        
        
            | Outdoor Visual Position Estimation for Planetary Rovers.   | Autonomous Robots | 2000 | 61 | 
        
        
            | Separation Properties of Sets of Probability Measures.   | UAI | 2000 | 22 | 
        
        
            | Fast software image stabilization with color registration.   | IROS | 1998 | 15 | 
        
        
            | Irrelevance and Independence Relations in quasi-Bayesian Networks.   | UAI | 1998 | 17 | 
        
        
            | Automatic mountain detection and pose estimation for teleoperation of lunar rovers.   | ICRA | 1997 | 61 | 
        
        
            | Robustness Analysis of Bayesian Networks with Local Convex Sets of Distributions.   | UAI | 1997 | 42 | 
        
        
            | Depth from Scattering.   | CVPR | 1997 | 178 | 
        
        
            | Quasi-Bayesian Strategies for Efficient Plan Generation: Application to the Planning to Observe Problem.   | UAI | 1996 | 10 | 
        
        
            | Robot Localization Using a Computer Vision Sextant.   | ICRA | 1995 | 65 | 
        
        
            | Experience with rover navigation for lunar-like terrains.   | IROS | 1995 | 111 |