12 citations · 23 across the 11 of their papers we have counts for
13 papers
MicroLabVR: Interactive 3D Visualization of Simulated Spatiotemporal Microbiome Data in Virtual Reality
Simon Burbach, Maria Maleshkova, Florian Centler +1
Microbiomes are a vital part of the human body, engaging in tasks like food digestion and immune defense. Their structure and function must be understood in order to promote host h…
Contrastive Representation Learning for Conversational Question Answering over Knowledge Graphs
Endri Kacupaj, Kuldeep Singh, Maria Maleshkova +1
This paper addresses the task of conversational question answering (ConvQA) over knowledge graphs (KGs). The majority of existing ConvQA methods rely on full supervision signals wi…
An Answer Verbalization Dataset for Conversational Question Answerings over Knowledge Graphs
Endri Kacupaj, Kuldeep Singh, Maria Maleshkova +1
We introduce a new dataset for conversational question answering over Knowledge Graphs (KGs) with verbalized answers. Question answering over KGs is currently focused on answer gen…
VOGUE: Answer Verbalization through Multi-Task Learning
Endri Kacupaj, Shyamnath Premnadh, Kuldeep Singh +2
In recent years, there have been significant developments in Question Answering over Knowledge Graphs (KGQA). Despite all the notable advancements, current KGQA systems only focus…
Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical Records
Aynur Guluzade, Endri Kacupaj, Maria Maleshkova
Medical knowledge graphs (KGs) constructed from Electronic Medical Records (EMR) contain abundant information about patients and medical entities. The utilization of KG embedding m…
Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks
Endri Kacupaj, Joan Plepi, Kuldeep Singh +3
This paper addresses the task of (complex) conversational question answering over a knowledge graph. For this task, we propose LASAGNE (muLti-task semAntic parSing with trAnsformer…
MLM: A Benchmark Dataset for Multitask Learning with Multiple Languages and Modalities
Jason Armitage, Endri Kacupaj, Golsa Tahmasebzadeh +4
In this paper, we introduce the MLM (Multiple Languages and Modalities) dataset - a new resource to train and evaluate multitask systems on samples in multiple modalities and three…
Training Multimodal Systems for Classification with Multiple Objectives
Jason Armitage, Shramana Thakur, Rishi Tripathi +2
We learn about the world from a diverse range of sensory information. Automated systems lack this ability as investigation has centred on processing information presented in a sing…
The Semantic Asset Administration Shell
Sebastian R. Bader, Maria Maleshkova
The disruptive potential of the upcoming digital transformations for the industrial manufacturing domain have led to several reference frameworks and numerous standardization appro…
Virtual Representations for Iterative IoT Deployment
Sebastian R. Bader, Maria Maleshkova
A central vision of the Internet of Things is the representation of the physical world in a consistent virtual environment. Especially in the context of smart factories the connect…
RESTful or RESTless -- Current State of Today's Top Web APIs
Frederik Buelthoff, Maria Maleshkova
Recent developments in the world of services on the Web show that both the number of available Web APIs as well as the applications built on top is constantly increasing. This tren…
Smart Web Services (SmartWS) -- The Future of Services on the Web
Maria Maleshkova, Patrick Philipp, York Sure-Vetter +1
The past few years have been marked by an increased use of sensor technologies, abundant availability of mobile devices, and growing popularity of wearables, which enable the direc…
What does it all mean? Capturing Semantics of Surgical Data and Algorithms with Ontologies
Darko Katić, Maria Maleshkova, Sandy Engelhardt +9
Every year approximately 234 million major surgeries are performed, leading to plentiful, highly diverse data. This is accompanied by a matching number of novel algorithms for the…