Sahar Vahdati

Orcid: 0000-0002-7171-169X

Affiliations:
  • Institute for Applied Informatics (InfAI), Dresden, Germany
  • University of Oxford, Department of Computer Science, UK
  • University of Bonn, Department of Intelligent Systems, Germany


According to our database1, Sahar Vahdati authored at least 75 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A Self-Representation Learning Method for Unsupervised Feature Selection using Feature Space Basis.
Trans. Mach. Learn. Res., 2024

Beyond Boundaries: A Human-like Approach for Question Answering over Structured and Unstructured Information Sources.
Trans. Assoc. Comput. Linguistics, 2024

Deep Nonnegative Matrix Factorization with Joint Global and Local Structure Preservation.
Expert Syst. Appl., 2024

Why do you cite? An investigation on citation intents and decision-making classification processes.
CoRR, 2024

QuickCharNet: An Efficient URL Classification Framework for Enhanced Search Engine Optimization.
IEEE Access, 2024

Large Language Models for Scientific Question Answering: An Extensive Analysis of the SciQA Benchmark.
Proceedings of the Semantic Web - 21st International Conference, 2024

X-Vent: ICU Ventilation with Explainable Model-Based Reinforcement Learning.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Knowledge GeoGebra: Leveraging Geometry of Relation Embeddings in Knowledge Graph Completion.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Unsupervised feature selection based on variance-covariance subspace distance.
Neural Networks, September, 2023

Utilizing Transformers on OCT Imagery and Metadata for Treatment Response Prediction in Macular Edema Patients.
Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

Distinct Geometrical Representations for Temporal and Relational Structures in Knowledge Graphs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Language Models as Controlled Natural Language Semantic Parsers for Knowledge Graph Question Answering.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Retention is All You Need.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Data science with Vadalog: Knowledge Graphs with machine learning and reasoning in practice.
Future Gener. Comput. Syst., 2022

ProjB: An Improved Bilinear Biased ProjE model for Knowledge Graph Completion.
CoRR, 2022

Language Model-driven Negative Sampling.
CoRR, 2022

Language Model Guided Knowledge Graph Embeddings.
IEEE Access, 2022

μ-Bench: Real-world Micro Benchmarking for SPARQL Query Processing over Knowledge Graphs.
Proceedings of the 11th International Joint Conference on Knowledge Graphs, 2022

Rule Learning over Knowledge Graphs with Genetic Logic Programming.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Dihedron Algebraic Embeddings for Spatio-Temporal Knowledge Graph Completion.
Proceedings of the Semantic Web - 19th International Conference, 2022

Towards Hybrid Logic-based and Embedding-based Reasoning on Financial Knowledge Graphs.
Proceedings of the Workshops of the EDBT/ICDT 2022 Joint Conference, 2022

2021
A comprehensive quality assessment framework for scientific events.
Scientometrics, 2021

Analysing the evolution of computer science events leveraging a scholarly knowledge graph: a scientometrics study of top-ranked events in the past decade.
Scientometrics, 2021

Trans4E: Link prediction on scholarly knowledge graphs.
Neurocomputing, 2021

Multiple Run Ensemble Learning withLow-Dimensional Knowledge Graph Embeddings.
CoRR, 2021

Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain.
IEEE Access, 2021

Sleeping Beauties of Coronavirus Research.
IEEE Access, 2021

Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

A Simulated Annealing Meta-heuristic for Concept Learning in Description Logics.
Proceedings of the Inductive Logic Programming - 30th International Conference, 2021

Knowledge Graph Representation Learning using Ordinary Differential Equations.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Pattern-Aware and Noise-Resilient Embedding Models.
Proceedings of the Advances in Information Retrieval, 2021

5* Knowledge Graph Embeddings with Projective Transformations.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Reasoning in Knowledge Graphs: An Embeddings Spotlight.
Proceedings of the Knowledge Graphs and Big Data Processing, 2020

Knowledge Graphs: The Layered Perspective.
Proceedings of the Knowledge Graphs and Big Data Processing, 2020

Scholarly event characteristics in four fields of science: a metrics-based analysis.
Scientometrics, 2020

Motif Learning in Knowledge Graphs Using Trajectories Of Differential Equations.
CoRR, 2020

3D Learning and Reasoning in Link Prediction Over Knowledge Graphs.
IEEE Access, 2020

Fantastic Knowledge Graph Embeddings and How to Find the Right Space for Them.
Proceedings of the Semantic Web - ISWC 2020, 2020

Let the Margin SlidE<sup>±</sup> for Knowledge Graph Embeddings via a Correntropy Objective Function.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Semantic Representation of Physics Research Data.
Proceedings of the 12th International Joint Conference on Knowledge Discovery, 2020

Embedding-Based Recommendations on Scholarly Knowledge Graphs.
Proceedings of the Semantic Web - 17th International Conference, 2020

Ontology Design for Pharmaceutical Research Outcomes.
Proceedings of the Digital Libraries for Open Knowledge, 2020

Multiple Run Ensemble Learning with Low Dimensional Knowledge Graph Embeddings.
Proceedings of the International Workshop on Knowledge Representation and Representation Learning co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

An Evolutionary Algorithm for Rule Learning over Knowledge Graphs.
Proceedings of the International Workshop on Knowledge Representation and Representation Learning co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

2019
Collaborative Integration, Publishing and Analysis of Distributed Scholarly Metadata
PhD thesis, 2019

Editorial: Special Issue on Scholarly Data Analysis (Semantics, Analytics, Visualisation).
Data Sci., 2019

Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function.
CoRR, 2019

Soft Marginal TransE for Scholarly Knowledge Graph Completion.
CoRR, 2019

SEO: A Scientific Events Data Model.
Proceedings of the Semantic Web - ISWC 2019, 2019

The scientific events ontology of the OpenResearch.org curation platform.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Improving Access to Science for Social Good.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Semantic Representation of Scientific Publications.
Proceedings of the Digital Libraries for Open Knowledge, 2019

2018
Towards a Cloud-Based Service for Maintaining and Analyzing Data About Scientific Events.
Proceedings of the Semantics, Analytics, Visualization, 2018

SAANSET: Semi-Automated Acquisition of Scholarly Metadata Using OpenResearch.org Platform.
Proceedings of the 12th IEEE International Conference on Semantic Computing, 2018

Reasoning Under Situation Awareness in a Temporal Database.
Proceedings of the Second IEEE International Conference on Robotic Computing, 2018

SemSur: A Core Ontology for the Semantic Representation of Research Findings.
Proceedings of the 14th International Conference on Semantic Systems, 2018

Unveiling Scholarly Communities over Knowledge Graphs.
Proceedings of the Digital Libraries for Open Knowledge, 2018

Metadata Analysis of Scholarly Events of Computer Science, Physics, Engineering, and Mathematics.
Proceedings of the Digital Libraries for Open Knowledge, 2018

2017
SAVE-SD 2017: Third Workshop on Semantics, Analytics and Visualisation: Enhancing Scholarly Data.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Towards a Knowledge Graph Representing Research Findings by Semantifying Survey Articles.
Proceedings of the Research and Advanced Technology for Digital Libraries, 2017

Analysing Scholarly Communication Metadata of Computer Science Events.
Proceedings of the Research and Advanced Technology for Digital Libraries, 2017

Exploiting Interlinked Research Metadata.
Proceedings of the Research and Advanced Technology for Digital Libraries, 2017

New Trends in Databases and Information Systems: Contributions from ADBIS 2017 Workshops.
Proceedings of the New Trends in Databases and Information Systems, 2017

2016
Challenges as enablers for high quality linked data: Insights from the semantic publishing challenge.
PeerJ Prepr., 2016

A semi-automatic approach for detecting dataset references in social science texts.
Inf. Serv. Use, 2016

Semantic Publishing Challenge - Assessing the Quality of Scientific Output in Its Ecosystem.
Proceedings of the Semantic Web Challenges - Third SemWebEval Challenge at ESWC 2016, Heraklion, Crete, Greece, May 29, 2016

Identifying and Improving Dataset References in Social Sciences Full Texts.
Proceedings of the Positioning and Power in Academic Publishing: Players, 2016

OpenResearch: Collaborative Management of Scholarly Communication Metadata.
Proceedings of the Knowledge Engineering and Knowledge Management, 2016

Facilitating the Management and Analysis of Scholarly Communication Metadata.
Proceedings of the Knowledge Engineering and Knowledge Management, 2016

2015
Mapping Large Scale Research Metadata to Linked Data: A Performance Comparison of HBase, CSV and XML.
Proceedings of the Metadata and Semantics Research - 9th Research Conference, 2015

OpenCourseWare observatory: does the quality of OpenCourseWare live up to its promise?
Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 2015

Towards Linked Data Update Notifications Reviewing and Generalizing the SparqlPuSH Approach.
Proceedings of the Workshop on Negative or Inconclusive Results in Semantic Web, 2015

Semantic Publishing Challenge - Assessing the Quality of Scientific Output by Information Extraction and Interlinking.
Proceedings of the Semantic Web Evaluation Challenges, 2015

2014
A Flexible System for a Comprehensive Analysis of Bibliographical Data.
Proceedings of the WEBIST 2014, 2014

Identifying research schools using enriched bibliographical metadata.
Proceedings of the 14th International Conference on Knowledge Management and Data-driven Business, 2014


  Loading...