Thomas Lukasiewicz

Orcid: 0000-0002-7644-1668

Affiliations:
  • Vienna University of Technology, Austria
  • University of Oxford, UK


According to our database1, Thomas Lukasiewicz authored at least 349 papers between 1995 and 2024.

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Bibliography

2024
Automatic data augmentation for medical image segmentation using Adaptive Sequence-length based Deep Reinforcement Learning.
Comput. Biol. Medicine, February, 2024

Multi-ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self-Supervised Medical Image Segmentation.
IEEE Trans. Medical Imaging, January, 2024

Minimum description length clustering to measure meaningful image complexity.
Pattern Recognit., January, 2024

Cross-domain attention-guided generative data augmentation for medical image analysis with limited data.
Comput. Biol. Medicine, January, 2024

PhaCIA-TCNs: Short-Term Load Forecasting Using Temporal Convolutional Networks With Parallel Hybrid Activated Convolution and Input Attention.
IEEE Trans. Netw. Sci. Eng., 2024

Collaborative Attention Guided Multi-Scale Feature Fusion Network for Medical Image Segmentation.
IEEE Trans. Netw. Sci. Eng., 2024

Correcting Flaws in Common Disentanglement Metrics.
Trans. Mach. Learn. Res., 2024

Text Attribute Control via Closed-Loop Disentanglement.
Trans. Assoc. Comput. Linguistics, 2024

CCN+: A neuro-symbolic framework for deep learning with requirements.
Int. J. Approx. Reason., 2024

Benchmarking Predictive Coding Networks - Made Simple.
CoRR, 2024

Towards Certification of Uncertainty Calibration under Adversarial Attacks.
CoRR, 2024

PiShield: A NeSy Framework for Learning with Requirements.
CoRR, 2024

Pre-training and diagnosing knowledge base completion models.
Artif. Intell., 2024

PiShield: A PyTorch Package for Learning with Requirements.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Predictive Coding beyond Correlations.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Bad Predictive Coding Activation Functions.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

The IMO Small Challenge: Not-Too-Hard Olympiad Math Datasets for LLMs.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

The Defeat of the Winograd Schema Challenge (Abstract Reprint).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
RIRGAN: An end-to-end lightweight multi-task learning method for brain MRI super-resolution and denoising.
Comput. Biol. Medicine, December, 2023

The defeat of the Winograd Schema Challenge.
Artif. Intell., December, 2023

ROAD-R: the autonomous driving dataset with logical requirements.
Mach. Learn., September, 2023

EFPN: Effective medical image detection using feature pyramid fusion enhancement.
Comput. Biol. Medicine, September, 2023

μ-Net: Medical image segmentation using efficient and effective deep supervision.
Comput. Biol. Medicine, June, 2023

Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records.
IEEE J. Biomed. Health Informatics, February, 2023

Painless and accurate medical image analysis using deep reinforcement learning with task-oriented homogenized automatic pre-processing.
Comput. Biol. Medicine, February, 2023

Toward Knowledge as a Service (KaaS): Predicting Popularity of Knowledge Services Leveraging Graph Neural Networks.
IEEE Trans. Serv. Comput., 2023

Recurrent predictive coding models for associative memory employing covariance learning.
PLoS Comput. Biol., 2023

Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation.
Medical Image Anal., 2023

Large Language Models for Mathematicians.
CoRR, 2023

Improving Language Models Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary.
CoRR, 2023

C^2M-DoT: Cross-modal consistent multi-view medical report generation with domain transfer network.
CoRR, 2023

AMLP: Adaptive Masking Lesion Patches for Self-supervised Medical Image Segmentation.
CoRR, 2023

Brain-Inspired Computational Intelligence via Predictive Coding.
CoRR, 2023

Causal Inference via Predictive Coding.
CoRR, 2023

Evaluating Language Models for Mathematics through Interactions.
CoRR, 2023

Machine Learning with Requirements: a Manifesto.
CoRR, 2023

Correcting Flaws in Common Disentanglement Metrics.
CoRR, 2023

Hard Regularization to Prevent Collapse in Online Deep Clustering without Data Augmentation.
CoRR, 2023

NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning.
CoRR, 2023

Rationalizing predictions by adversarial information calibration.
Artif. Intell., 2023

Mathematical Capabilities of ChatGPT.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exploiting T-norms for Deep Learning in Autonomous Driving.
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under Preferred Repairs.
Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning, 2023

NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation.
Proceedings of the International Conference on Machine Learning, 2023

Adaptive-Masking Policy with Deep Reinforcement Learning for Self-Supervised Medical Image Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

A Theoretical Framework for Inference and Learning in Predictive Coding Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Multi-Head Feature Pyramid Networks for Breast Mass Detection.
Proceedings of the IEEE International Conference on Acoustics, 2023

MvCo-DoT: Multi-View Contrastive Domain Transfer Network for Medical Report Generation.
Proceedings of the IEEE International Conference on Acoustics, 2023

MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Consistency Analysis of ChatGPT.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Improving Language Models' Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Associative Memories in the Feature Space.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Deconvolution of cell-free DNA in cancer liquid biopsy using a deep AutoEncoder.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Faithfulness Tests for Natural Language Explanations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022
An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure.
IEEE J. Biomed. Health Informatics, 2022

NoiER: An Approach for Training More Reliable Fine-Tuned Downstream Task Models.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

ω-net: Dual supervised medical image segmentation with multi-dimensional self-attention and diversely-connected multi-scale convolution.
Neurocomputing, 2022

Robust Graph Representation Learning via Predictive Coding.
CoRR, 2022

Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm.
CoRR, 2022

Hybrid Reinforced Medical Report Generation with M-Linear Attention and Repetition Penalty.
CoRR, 2022

Bird-Eye Transformers for Text Generation Models.
CoRR, 2022

Lightweight Long-Range Generative Adversarial Networks.
CoRR, 2022

Word-Level Fine-Grained Story Visualization.
CoRR, 2022

PCA: Semi-supervised Segmentation with Patch Confidence Adversarial Training.
CoRR, 2022

Clinical outcome prediction under hypothetical interventions - a representation learning framework for counterfactual reasoning.
CoRR, 2022

Learning on Arbitrary Graph Topologies via Predictive Coding.
CoRR, 2022

Inconsistency-tolerant query answering for existential rules.
Artif. Intell., 2022

Complexity results for preference aggregation over (<i>m</i>)CP-nets: Max and rank voting.
Artif. Intell., 2022

Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under Cardinality-Based Repairs.
Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

Explanations for Inconsistency-Tolerant Query Answering under Existential Rules.
Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

Query Answer Explanations under Existential Rules.
Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

Learning on Arbitrary Graph Topologies via Predictive Coding.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Predictive Coding beyond Gaussian Distributions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Clustering Generative Adversarial Networks for Story Visualization.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Explaining Chest X-Ray Pathologies in Natural Language.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Explanations for Negative Query Answers under Inconsistency-Tolerant Semantics.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Deep Learning with Logical Constraints.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

NP-Match: When Neural Processes meet Semi-Supervised Learning.
Proceedings of the International Conference on Machine Learning, 2022

Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models.
Proceedings of the International Conference on Machine Learning, 2022

Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations.
Proceedings of the International Conference on Machine Learning, 2022

(Non-)Convergence Results for Predictive Coding Networks.
Proceedings of the International Conference on Machine Learning, 2022

Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Syntactically Rich Discriminative Training: An Effective Method for Open Information Extraction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Learning to Model Multimodal Semantic Alignment for Story Visualization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Democratizing Financial Knowledge Graph Construction by Mining Massive Brokerage Research Reports.
Proceedings of the Workshops of the EDBT/ICDT 2022 Joint Conference, 2022

Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

BECEL: Benchmark for Consistency Evaluation of Language Models.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Memory-Driven Text-to-Image Generation.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Image-to-Image Translation with Text Guidance.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Pareto and Majority Voting in mCP-nets.
Proceedings of the Discussion Papers - 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022 DP), Udine, Italy, November 28, 2022

Efficient Deep Clustering of Human Activities and How to Improve Evaluation.
Proceedings of the Asian Conference on Machine Learning, 2022

Reverse Differentiation via Predictive Coding.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Multi-Label Classification Neural Networks with Hard Logical Constraints.
J. Artif. Intell. Res., 2021

Stable Model Semantics for Guarded Existential Rules and Description Logics: Decidability and Complexity.
J. ACM, 2021

An ontology-based deep learning approach for triple classification with out-of-knowledge-base entities.
Inf. Sci., 2021

Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations.
CoRR, 2021

Rationale production to support clinical decision-making.
CoRR, 2021

Are Training Resources Insufficient? Predict First Then Explain!
CoRR, 2021

NoiER: An Approach for Training more Reliable Fine-TunedDownstream Task Models.
CoRR, 2021

Accurate, yet inconsistent? Consistency Analysis on Language Understanding Models.
CoRR, 2021

Rationale-Inspired Natural Language Explanations with Commonsense.
CoRR, 2021

Predictive Coding Can Do Exact Backpropagation on Any Neural Network.
CoRR, 2021

Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks.
CoRR, 2021

Risk factor identification for incident heart failure using neural network distillation and variable selection.
CoRR, 2021

An explainable Transformer-based deep learning model for the prediction of incident heart failure.
CoRR, 2021

Associative Memories via Predictive Coding.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Selective Pseudo-Label Clustering.
Proceedings of the KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27, 2021

The Surprising Power of Graph Neural Networks with Random Node Initialization.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Knowledge Base Completion Meets Transfer Learning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

RSG: A Simple but Effective Module for Learning Imbalanced Datasets.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Lightweight Visual Question Answering using Scene Graphs.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Controlling Text Edition by Changing Answers of Specific Questions.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Multi-type Disentanglement without Adversarial Training.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Preferred Explanations for Ontology-Mediated Queries under Existential Rules.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Combining RDF and SPARQL with CP-theories to reason about preferences in a Linked Data setting.
Semantic Web, 2020

Ontology Reasoning with Deep Neural Networks.
J. Artif. Intell. Res., 2020

Partially observable game-theoretic agent programming in Golog.
Int. J. Approx. Reason., 2020

Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration.
CoRR, 2020

w-Net: Dual Supervised Medical Image Segmentation Model with Multi-Dimensional Attention and Cascade Multi-Scale Convolution.
CoRR, 2020

Efficient Medical Image Segmentation with Intermediate Supervision Mechanism.
CoRR, 2020

Reinforced Medical Report Generation with X-Linear Attention and Repetition Penalty.
CoRR, 2020

SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images.
CoRR, 2020

Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A Survey.
CoRR, 2020

The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets.
CoRR, 2020

A Review of Winograd Schema Challenge Datasets and Approaches.
CoRR, 2020

e-SNLI-VE-2.0: Corrected Visual-Textual Entailment with Natural Language Explanations.
CoRR, 2020

Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records.
CoRR, 2020

Image-to-Image Translation with Text Guidance.
CoRR, 2020

Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Coherent Hierarchical Multi-Label Classification Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

BoxE: A Box Embedding Model for Knowledge Base Completion.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Can the Brain Do Backpropagation? - Exact Implementation of Backpropagation in Predictive Coding Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Explanations for Negative Query Answers under Existential Rules.
Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, 2020

Extracting Outcomes from Appellate Decisions in US State Courts.
Proceedings of the Legal Knowledge and Information Systems, 2020

Ontology Reasoning with Deep Neural Networks (Extended Abstract).
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Knowledge Graph Extraction from Videos.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Explanations for Ontology-Mediated Query Answering in Description Logics.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Explanations for Ontology-Mediated Query Answering in Description Logics (Extended Abstract).
Proceedings of the 33rd International Workshop on Description Logics (DL 2020) co-located with the 17th International Conference on Principles of Knowledge Representation and Reasoning (KR 2020), 2020

ManiGAN: Text-Guided Image Manipulation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Distributed Low Precision Training Without Mixed Precision.
CoRR, 2019

Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods.
CoRR, 2019

Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence.
CoRR, 2019

Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards.
CoRR, 2019

Complexity results for preference aggregation over (<i>m</i>)CP-nets: Pareto and majority voting.
Artif. Intell., 2019

Controllable Text-to-Image Generation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Explanations for Query Answers under Existential Rules.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment.
Proceedings of the IEEE International Conference on Acoustics, 2019

WikiCREM: A Large Unsupervised Corpus for Coreference Resolution.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Ontology-Mediated Query Answering over Log-Linear Probabilistic Data (Abstract).
Proceedings of the 32nd International Workshop on Description Logics, 2019

An Ontology-Based Deep Learning Approach for Knowledge Graph Completion with Fresh Entities.
Proceedings of the Distributed Computing and Artificial Intelligence, 2019

A Surprisingly Robust Trick for the Winograd Schema Challenge.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Diversity-Driven Extensible Hierarchical Reinforcement Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Ontology-Mediated Query Answering over Log-Linear Probabilistic Data.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Ontological query answering under many-valued group preferences in Datalog+/-.
Int. J. Approx. Reason., 2018

Complexity Results for Preference Aggregation over (m)CP-nets: Pareto and Majority Voting.
CoRR, 2018

Lightweight Tag-Aware Personalized Recommendation on the Social Web Using Ontological Similarity.
IEEE Access, 2018

Complexity of Approximate Query Answering under Inconsistency in Datalog+/-.
Proceedings of the 26th Italian Symposium on Advanced Database Systems, 2018

A Tutorial on Query Answering and Reasoning over Probabilistic Knowledge Bases.
Proceedings of the Reasoning Web. Learning, Uncertainty, Streaming, and Scalability, 2018

Learning Structured Video Descriptions: Automated Video Knowledge Extraction for Video Understanding Tasks.
Proceedings of the On the Move to Meaningful Internet Systems. OTM 2018 Conferences, 2018

e-SNLI: Natural Language Inference with Natural Language Explanations.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Recent Advances in Querying Probabilistic Knowledge Bases.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Ontology-Based Data Access Leveraging Subjective Reports
Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-65228-3, 2017

A novel characterization of the complexity class ϴ<sup>P</sup><sub>k</sub> based on counting and comparison.
Theor. Comput. Sci., 2017

Many Facets of Reasoning Under Uncertainty, Inconsistency, Vagueness, and Preferences: A Brief Survey.
Künstliche Intell., 2017

Special Issue on Challenges for Reasoning under Uncertainty, Inconsistency, Vagueness, and Preferences - A Topical Snapshot.
Künstliche Intell., 2017

Preface to the Speical Issue on Reasoning about Preferences, Uncertainty, and Vagueness.
FLAP, 2017

Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation.
CoRR, 2017

Deep Learning for Ontology Reasoning.
CoRR, 2017

Location-Aware Personalized News Recommendation With Deep Semantic Analysis.
IEEE Access, 2017

Uncertainty Reasoning for the Semantic Web.
Proceedings of the Reasoning Web. Semantic Interoperability on the Web, 2017

Tag-Aware Personalized Recommendation Using a Hybrid Deep Model.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Query Answering in Ontologies under Preference Rankings.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Most Probable Explanations for Probabilistic Database Queries.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Location-Aware News Recommendation Using Deep Localized Semantic Analysis.
Proceedings of the Database Systems for Advanced Applications, 2017

Ontology-Mediated Queries for Probabilistic Databases.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Probabilistic Models over Weighted Orderings: Fixed-Parameter Tractable Variable Elimination.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fifteenth International Conference, 2016

Generalized Consistent Query Answering under Existential Rules.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fifteenth International Conference, 2016

Preferential Query Answering over the Semantic Web with Possibilistic Networks.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Complexity of Threshold Query Answering in Probabilistic Ontological Data Exchange.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Complexity Results for Probabilistic Datalog<sup>±</sup>.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Ranking Answers to Datalog+/- Ontologies based on Trust and Reliability of Subjective Reports.
Proceedings of the Computational Models of Rationality, 2016

Basic Probabilistic Ontological Data Exchange with Existential Rules.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

On the Complexity of mCP-nets.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Preference-Based Query Answering in Probabilistic Datalog+/- Ontologies.
J. Data Semant., 2015

Preface.
Ann. Math. Artif. Intell., 2015

Probabilistic Ontological Data Exchange with Bayesian Networks.
Proceedings of the 11th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2015) co-located with the 14th International Semantic Web Conference (ISWC 2015), 2015

Existential Rules and Bayesian Networks for Probabilistic Ontological Data Exchange.
Proceedings of the Rule Technologies: Foundations, Tools, and Applications, 2015

Preference Queries with Ceteris Paribus Semantics for Linked Data.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2015 Conferences, 2015

Combining Existential Rules with the Power of CP-Theories.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Answering EL Queries in the Presence of Preferences.
Proceedings of the 28th International Workshop on Description Logics, 2015

From Classical to Consistent Query Answering under Existential Rules.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Ontology-Based Query Answering with Group Preferences.
ACM Trans. Internet Techn., 2014

Improving Personalized Search on the Social Web Based on Similarities between Users.
Proceedings of the Scalable Uncertainty Management - 8th International Conference, 2014

Answering Ontological Ranking Queries Based on Subjective Reports.
Proceedings of the Scalable Uncertainty Management - 8th International Conference, 2014

Ontological CP-Nets.
Proceedings of the Uncertainty Reasoning for the Semantic Web III, 2014

Information Integration with Provenance on the Semantic Web via Probabilistic Datalog+/-.
Proceedings of the Uncertainty Reasoning for the Semantic Web III, 2014

Computing k-rank answers with Ontological CP-Nets.
Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

Datalog+/-: Questions and Answers.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fourteenth International Conference, 2014

Stable Model Semantics for Guarded Existential Rules and Description Logics.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fourteenth International Conference, 2014

Probabilistic Preference Logic Networks.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2013
Tractable Probabilistic Description Logic Programs.
Proceedings of the Advances in Probabilistic Databases for Uncertain Information Management, 2013

Preface.
Semantic Web, 2013

Top-k Query Answering in Datalog+/- Ontologies under Subjective Reports (Technical Report).
CoRR, 2013

Query answering under probabilistic uncertainty in Datalog+ / - ontologies.
Ann. Math. Artif. Intell., 2013

Query Answering in Probabilistic Datalog+/- Ontologies under Group Preferences.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

Reasoning with Semantic-Enabled Qualitative Preferences.
Proceedings of the Scalable Uncertainty Management - 7th International Conference, 2013

Group Preferences for Query Answering in Datalog+/- Ontologies.
Proceedings of the Scalable Uncertainty Management - 7th International Conference, 2013

Semantic Web Search and Inductive Reasoning.
Proceedings of the Uncertainty Reasoning for the Semantic Web II, 2013

Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations.
Proceedings of the Uncertainty Reasoning for the Semantic Web II, 2013

Information Integration with Provenance on the Semantic Web via Probabilistic Datalog+/-.
Proceedings of the 9th International Workshop on Uncertainty Reasoning for the Semantic Web co-located with the 12th International Semantic Web Conference (ISWC 2013), 2013

On Ontologies and CP-Nets.
Proceedings of the 21st Italian Symposium on Advanced Database Systems, 2013

Workshop on recommender systems meet big data & semantic technologies: SeRSy 2013.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Preference-Based Query Answering in Probabilistic Datalog+/- Ontologies.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2013 Conferences, 2013

Preference-Based Query Answering in Datalog+/- Ontologies.
Proceedings of the IJCAI 2013, 2013

Query Answering in Datalog+/- Ontologies under Group Preferences and Probabilistic Uncertainty.
Proceedings of the Current Trends in Web Engineering, 2013

Reasoning with DL-based CP-nets.
Proceedings of the Informal Proceedings of the 26th International Workshop on Description Logics, Ulm, Germany, July 23, 2013

Complexity of Inconsistency-Tolerant Query Answering in Datalog+/-.
Proceedings of the Informal Proceedings of the 26th International Workshop on Description Logics, Ulm, Germany, July 23, 2013

Well-Founded Semantics for Extended Datalog and Ontological Reasoning.
Proceedings of the Informal Proceedings of the 26th International Workshop on Description Logics, Ulm, Germany, July 23, 2013

Combining CP-Nets with the Power of Ontologies.
Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

2012
A general Datalog-based framework for tractable query answering over ontologies.
J. Web Semant., 2012

Ontology-based semantic search on the Web and its combination with the power of inductive reasoning.
Ann. Math. Artif. Intell., 2012

Preface.
Ann. Math. Artif. Intell., 2012

Heuristic Ranking in Tightly Coupled Probabilistic Description Logics.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Introducing Ontological CP-Nets.
Proceedings of the 8th International Workshop on Uncertainty Reasoning for the Semantic Web, 2012

Consistent Answers in Probabilistic Datalog+/- Ontologies.
Proceedings of the Web Reasoning and Rule Systems - 6th International Conference, 2012

Inconsistency Handling in Datalog+/- Ontologies.
Proceedings of the ECAI 2012, 2012

Inconsistency-Tolerant Query Rewriting for Linear Datalog+/-.
Proceedings of the Datalog in Academia and Industry - Second International Workshop, 2012

Equality-Friendly Well-Founded Semantics and Applications to Description Logics.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Semantic Web search based on ontological conjunctive queries.
J. Web Semant., 2011

Well-founded semantics for description logic programs in the semantic web.
ACM Trans. Comput. Log., 2011

A logical toolbox for ontological reasoning.
SIGMOD Rec., 2011

Tightly integrated probabilistic description logic programs for representing ontology mappings.
Ann. Math. Artif. Intell., 2011

Answering Threshold Queries in Probabilistic Datalog+/- Ontologies.
Proceedings of the Scalable Uncertainty Management - 5th International Conference, 2011

Conjunctive Query Answering in Probabilistic Datalog+/- Ontologies.
Proceedings of the Web Reasoning and Rule Systems - 5th International Conference, 2011

2010
A Novel Combination of Answer Set Programming with Description Logics for the Semantic Web.
IEEE Trans. Knowl. Data Eng., 2010

Semantic search on the Web.
Semantic Web, 2010

Inductive reasoning and semantic web search.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Datalog+/-: A Family of Logical Knowledge Representation and Query Languages for New Applications.
Proceedings of the 25th Annual IEEE Symposium on Logic in Computer Science, 2010

Datalog+/-: A Family of Languages for Ontology Querying.
Proceedings of the Datalog Reloaded - First International Workshop, 2010

Ontological Reasoning with F-logic Lite and its Extensions.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Hybrid Reasoning with Rules and Ontologies.
Proceedings of the Semantic Techniques for the Web, The REWERSE Perspective, 2009

Reasoning about actions with sensing under qualitative and probabilistic uncertainty.
ACM Trans. Comput. Log., 2009

Tightly Coupled Probabilistic Description Logic Programs for the Semantic Web.
J. Data Semant., 2009

Description logic programs under probabilistic uncertainty and fuzzy vagueness.
Int. J. Approx. Reason., 2009

Approximate Classification of Semantically Annotated Web Resources Exploiting Pseudo-metrics Induced by Local Models.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

Uncertainty in the Semantic Web.
Proceedings of the Scalable Uncertainty Management, Third International Conference, 2009

Combining Semantic Web Search with the Power of Inductive Reasoning.
Proceedings of the Fifth International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2009), 2009

A General Datalog-Based Framework for Tractable Query Answering over Ontologies (extended abstract).
Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, 2009

Inductive Query Answering and Concept Retrieval Exploiting Local Models.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Datalog<sup>±</sup>: a unified approach to ontologies and integrity constraints.
Proceedings of the Database Theory, 2009

A Combination of Boolean Games with Description Logics for Automated Multi-Attribute Negotiation.
Proceedings of the 22nd International Workshop on Description Logics (DL 2009), 2009

Tractable Query Answering over Ontologies with Datalog+/-.
Proceedings of the 22nd International Workshop on Description Logics (DL 2009), 2009

Datalog Extensions for Tractable Query Answering over Ontologies.
Proceedings of the Semantic Web Information Management - A Model-Based Perspective, 2009

2008
Managing uncertainty and vagueness in description logics for the Semantic Web.
J. Web Semant., 2008

Tightly Coupled Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web.
Int. J. Semantic Web Inf. Syst., 2008

Using search strategies and a description logic paradigm with conditional preferences for literature search.
Int. J. Metadata Semant. Ontologies, 2008

Probabilistic description logic programs under inheritance with overriding for the Semantic Web.
Int. J. Approx. Reason., 2008

Logical approaches to imprecise probabilities.
Int. J. Approx. Reason., 2008

Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web.
Fundam. Informaticae, 2008

Expressive probabilistic description logics.
Artif. Intell., 2008

Combining answer set programming with description logics for the Semantic Web.
Artif. Intell., 2008

Tractable Reasoning with Bayesian Description Logics.
Proceedings of the Scalable Uncertainty Management, Second International Conference, 2008

Combining Boolean Games with the Power of Ontologies for Automated Multi-Attribute Negotiation in the Semantic Web.
Proceedings of the Second International Workshop on Service Matchmaking and Resource Retrieval in the Semantic Web, 2008

Rule-Based Approaches for Representing Probabilistic Ontology Mappings.
Proceedings of the Uncertainty Reasoning for the Semantic Web I, 2008

Representing Ontology Mappings with Probabilistic Description Logics Programs.
Proceedings of the Sixteenth Italian Symposium on Advanced Database Systems, 2008

Tightly Integrated Probabilistic Description Logic Programs for Representing Ontology Mappings.
Proceedings of the Foundations of Information and Knowledge Systems, 2008

2007
Variable-strength conditional preferences for ranking objects in ontologies.
J. Web Semant., 2007

Probabilistic description logic programs.
Int. J. Approx. Reason., 2007

Nonmonotonic probabilistic logics under variable-strength inheritance with overriding: Complexity, algorithms, and implementation.
Int. J. Approx. Reason., 2007

Reasoning with imprecise probabilities.
Int. J. Approx. Reason., 2007

Top-k Retrieval in Description Logic Programs Under Vagueness for the Semantic Web.
Proceedings of the Scalable Uncertainty Management, First International Conference, 2007

Tractable Probabilistic Description Logic Programs.
Proceedings of the Scalable Uncertainty Management, First International Conference, 2007

A Framework for Representing Ontology Mappings under Probabilities and Inconsistency.
Proceedings of the Third ISWC Workshop on Uncertainty Reasoning for the Semantic Web Busan, 2007

Tightly Integrated Fuzzy Description Logic Programs Under the Answer Set Semantics for the Semantic Web.
Proceedings of the Web Reasoning and Rule Systems, First International Conference, 2007

Team Programming in Golog under Partial Observability.
Proceedings of the IJCAI 2007, 2007

Tightly Integrated Probabilistic Description Logic Programs for the Semantic Web.
Proceedings of the Logic Programming, 23rd International Conference, 2007

2006
Causes and explanations in the structural-model approach: Tractable cases.
Artif. Intell., 2006

Preferences, Links, and Probabilities for Ranking Objects in Ontologies.
Proceedings of the Second ISWC Workshop on Uncertainty Reasoning for the Semantic Web, 2006

An Approach to Probabilistic Data Integration for the Semantic Web.
Proceedings of the Second ISWC Workshop on Uncertainty Reasoning for the Semantic Web, 2006

Variable-Strength Conditional Preferences for Matchmaking in Description Logics.
Proceedings of the Proceedings, 2006

Adaptive Multi-agent Programming in GTGolog.
Proceedings of the KI 2006: Advances in Artificial Intelligence, 2006

Game-Theoretic Agent Programming in Golog Under Partial Observability.
Proceedings of the KI 2006: Advances in Artificial Intelligence, 2006

2005
Nonmonotonic probabilistic reasoning under variable-strength inheritance with overriding.
Synth., 2005

Probabilistic logic under coherence: complexity and algorithms.
Ann. Math. Artif. Intell., 2005

Weak nonmonotonic probabilistic logics.
Artif. Intell., 2005

Stratified Probabilistic Description Logic Programs.
Proceedings of the International Semantic Web Conference, 2005

Game-Theoretic Reasoning About Actions in Nonmonotonic Causal Theories.
Proceedings of the Logic Programming and Nonmonotonic Reasoning, 2005

Nonmonotonic Probabilistic Logics under Variable-Strength Inheritance with Overriding: Algorithms and Implementation in NMPROBLOG.
Proceedings of the ISIPTA '05, 2005

Game theoretic Golog under partial observability.
Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), 2005

2004
Combining probabilistic logic programming with the power of maximum entropy.
Artif. Intell., 2004

Complexity results for explanations in the structural-model approach.
Artif. Intell., 2004

Well-Founded Semantics for Description Logic Programs in the Semantic Web.
Proceedings of the Rules and Rule Markup Languages for the Semantic Web: Third International Workshop, 2004

Qualitative and probabilistic uncertainty in reasoning about actions with sensing.
Proceedings of the 10th International Workshop on Non-Monotonic Reasoning (NMR 2004), 2004

Combining Answer Set Programming with Description Logics for the Semantic Web.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Ninth International Conference (KR2004), 2004

Relational Markov Games.
Proceedings of the Logics in Artificial Intelligence, 9th European Conference, 2004

Game-Theoretic Agent Programming in Golog.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2003
Temporal Probabilistic Object Bases.
IEEE Trans. Knowl. Data Eng., 2003

Structure-Based Causes and Explanations in the Independent Choice Logic.
Proceedings of the UAI '03, 2003

Probabilistic Reasoning about Actions in Nonmonotonic Causal Theories.
Proceedings of the UAI '03, 2003

Probabilistic Lexicographic Entailment under Variable-Strength Inheritance with Overriding.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003

2002
Probabilistic logic under coherence, model-theoretic probabilistic logic, and default reasoning in System P.
J. Appl. Non Class. Logics, 2002

Probabilistic Default Reasoning with Conditional Constraints.
Ann. Math. Artif. Intell., 2002

Complexity results for structure-based causality.
Artif. Intell., 2002

Nonmonotonic probabilistic logics between model-theoretic probabilistic logic and probabilistic logic under coherence.
Proceedings of the 9th International Workshop on Non-Monotonic Reasoning (NMR 2002), 2002

P-SHOQ(D): A Probabilistic Extension of SHOQ(D) for Probabilistic Ontologies in the Semantic Web.
Proceedings of the Logics in Artificial Intelligence, European Conference, 2002

2001
Probabilistic object bases.
ACM Trans. Database Syst., 2001

Probabilistic logic programming with conditional constraints.
ACM Trans. Comput. Log., 2001

A data model and algebra for probabilistic complex values.
Ann. Math. Artif. Intell., 2001

Probabilistic Logic Programming under Inheritance with Overriding.
Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Fixpoint Characterizations for Many-Valued Disjunctive Logic Programs with Probabilistic Semantics.
Proceedings of the Logic Programming and Nonmonotonic Reasoning, 2001

Probabilistic Logic under Coherence, Model-Theoretic Probabilistic Logic, and Default Reasoning.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001

2000
Default reasoning from conditional knowledge bases: Complexity and tractable cases.
Artif. Intell., 2000

Credal Networks under Maximum Entropy.
Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Complexity Results for Default Reasoning from Conditional Knowledge Bases.
Proceedings of the KR 2000, 2000

New Tractable Cases in Default Reasoning from Conditional Knowledge Bases.
Proceedings of the Logics in Artificial Intelligence, European Workshop, 2000

Extension of the Relational Algebra to Probabilistic Complex Values.
Proceedings of the Foundations of Information and Knowledge Systems, 2000

1999
Probabilistic Deduction with Conditional Constraints over Basic Events.
J. Artif. Intell. Res., 1999

Local probabilistic deduction from taxonomic and probabilistic knowledge-bases over conjunctive events.
Int. J. Approx. Reason., 1999

Many-Valued Disjunctive Logic Programs with Probabilistic Semantics.
Proceedings of the Logic Programming and Nonmonotonic Reasoning, 1999

Probabilistic and Truth-Functional Many-Valued Logic Programming.
Proceedings of the 29th IEEE International Symposium on Multiple-Valued Logic, 1999

Probalilistic Logic Programming under Maximum Entropy.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1999

1998
Magic Inference Rules for Probabilistic Deduction under Taxonomic Knowledge.
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

Probabilistic Logic Programming.
Proceedings of the 13th European Conference on Artificial Intelligence, 1998

Many-Valued First-Order Logics with Probabilistic Semantics.
Proceedings of the Computer Science Logic, 12th International Workshop, 1998

1997
Efficient Global Probabilistic Deduction from Taxonomic and Probabilistic Knowledge-Bases over Conjunctive Events.
Proceedings of the Sixth International Conference on Information and Knowledge Management (CIKM'97), 1997

1996
Precision of probabilistic deduction under taxonomic knowledge.
PhD thesis, 1996

1995
Uncertain Reasoning in Concept Lattices.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1995

Taxonomic and Uncertain Integrity Constraints in Object-Oriented Databases - the TOP Approach.
Proceedings of the CIKM '95, Proceedings of the 1995 International Conference on Information and Knowledge Management, November 28, 1995


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