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Target-Oriented Regret Minimization for Satisficing Monopolists
We study a robust monopoly pricing problem where a seller aspires to sell an item to a buyer. We assume that the seller, unaware of the buyer’s... -
In Search of the Lost Tree
A graph whose edges only appear at certain points in time is called a temporal graph (among other names). These graphs are temporally connected if... -
Awake Complexity of Distributed Minimum Spanning Tree
The awake complexity of a distributed algorithm measures the number of rounds in which a node is awake. When a node is not awake, it is slee** and... -
Highly-Efficient Persistent FIFO Queues
In this paper, we study the question whether techniques employed, in a conventional system, by state-of-the-art concurrent algorithms to avoid... -
Deterministic Leader Election for Stationary Programmable Matter with Common Direction
Leader Election is an important primitive for programmable matter, since it is often an intermediate step for the solution of more complex problems.... -
Towards Singular Optimality in the Presence of Local Initial Knowledge
The Knowledge Till \(\rho \) (in short, KT-... -
Online Drone Scheduling for Last-Mile Delivery
Delivering a parcel from the distribution hub to the customer’s doorstep is called the last-mile delivery step in delivery logistics. In this paper,... -
Reaching Agreement Among k out of n Processes
In agreement problems, each process has an input value and must choose a decision (output) value. Given... -
Universal Coating by 3D Hybrid Programmable Matter
Motivated by the prospect of nano-robots that assist human physiological functions at the nanoscale, we investigate the coating problem in the... -
Sharding in Permissionless Systems in Presence of an Adaptive Adversary
We present SplitChain, a protocol intended to support the creation of scalable proof of stake and account-based blockchains without undermining... -
Non-negotiating Distributed Computing
A recent trend in distributed computing aims at designing models as simple as possible for capturing the inherently limited computing and... -
Efficient Evaluation of Conjunctive Regular Path Queries Using Multi-way Joins
Recent analyses of real-world queries show that a prominent type of queries is that of conjunctive regular path queries. Despite the increasing... -
Can Contrastive Learning Refine Embeddings
Recent advancements in contrastive learning have revolutionized self-supervised representation learning and achieved state-of-the-art performance on... -
Towards Cyber Map** the German Financial System with Knowledge Graphs
The increasing outsourcing by financial intermediaries intensifies the interconnection of the financial system with third-party providers.... -
Generative Expression Constrained Knowledge-Based Decoding for Open Data
In this paper, we present GECKO, a knowledge graph question answering (KGQA) system for data from Statistics Netherlands (Centraal Bureau voor de... -
SC-Block: Supervised Contrastive Blocking Within Entity Resolution Pipelines
Millions of websites use the schema.org vocabulary to annotate structured data describing products, local businesses, or events within their HTML... -
Integrating Domain Knowledge for Enhanced Concept Model Explainability in Plant Disease Classification
Deep learning-based plant disease detection has seen promising advancements, particularly in its remarkable ability to identify diseases through... -
Navigating Ontology Development with Large Language Models
Ontology engineering is a complex and time-consuming task, even with the help of current modelling environments. Often the result is error-prone... -
Leveraging Pre-trained Language Models for Time Interval Prediction in Text-Enhanced Temporal Knowledge Graphs
Most knowledge graph completion (KGC) methods rely solely on structural information, even though a large number of publicly available KGs contain... -
OntoEditor: Real-Time Collaboration via Distributed Version Control for Ontology Development
In today’s remote work environment, the demand for real-time collaborative tools has surged. Our research targets efficient collaboration among...