Publikationen

Publikationsarten

Bachelorarbeit (2) Buch (15) Buchbeitrag (79) Demo Paper (24) Diplomarbeit (82) Dissertation (24) Journal (128) Magazin (20) Masterarbeit (5) Poster Paper (23) Tagungsbeitrag (680) Technical Report (34) White Paper (8) Working Paper (6)

Publikationen

Publikationsarten

2025

Digital Camouflage: The LLVM challenge in LLM-based malware detection

Autonomous Van and Robot Last-Mile Logistics Platform: A Reference Architecture and Proof of Concept Implementation

2024

GGAS: Ground Guiding Assistant System for Interactive Indoor Wayfinding

LaFAM: Unsupervised Feature Attribution with Label-free Activation Maps

Towards Automated Human-Centered Recommendation of Explainable AI Solutions

CAGE: Causality-Aware Shapley Value for Global Explanations

Exploring AI-Enabled Cybersecurity Frameworks: Deep-Learning Techniques, GPU Support, and Future Enhancements

Optimizing AI-Assisted Code Generation

ALPACA — Adaptive Learning Pipeline for Comprehensive AI

Android App Feature Extraction: A review of approaches for malware and app similarity detection

12th International Workshop on News Recommendation and Analytics (INRA24)

Special issue on News Personalization and Analytics (pp. 921-1085)

Enhancing Data Accessibility: Integrating Speech-Based Interfaces with Large Language Models for Intuitive Database Queries

An Agent-Based Data Acquisition Pipeline for Image Data

Debunking the Myth of High Consumption: Power Realities in Autonomous Vehicles

Joining forces for pathology diagnostics with AI assistance: The EMPAIA initiative

Opinerium: Subjective Question Generation using Large Language Models

Report on the 11th International Workshop on News Recommendation and Analytics (INRA 2023) at ACM RecSys 2023

OPACA: Toward an Open, Language- and Platform-Independent API for Containerized Agents

Ensuring Federated Learning Reliability for Infrastructure-Enhanced Autonomous Driving

Driving into the future: a cross-cutting analysis of distributed artificial intelligence, CCAM and the platform economy

2023

News Images in MediaEval 2022

The 11th International Workshop on News Recommendation and Analytics 2023

A Survey on the Use of Container Technologies in Autonomous Driving and the Case of BeIntelli

Kufast: A tool for multi-tenancy in autonomous driving testbeds

The Eleventh International Workshop on News Recommendation and Analytics (INRA2023)

Combining Information Retrieval and Large Language Models for a Chatbot that Generates Reliable, Natural-style Answers

Data science for next-generation recommender systems (Guest Editorial)

FABRIC: A Framework for the Design and Evaluation of Collaborative Robots with Extended Human Adaptation

Graph Neural Network for Digital Twin-enabled Intelligent Transportation System Reliability

Online Monte Carlo Planning with QoS Subgoals for Data Caching in ITS MEC Networks

Explainability and Causability in Digital Pathology

2022

The 10th International Workshop on News Recommendation and Analytics (INRA 2022)

The vendor-agnostic EMPAIA platform for integrating AI applications into digital pathology infrastructures

Guiding Users by Dynamically Generating Questions in a Chatbot System

Building a multi-sided data-driven mobility platform: key design elements and configurations

Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathology

The EMPAIA Platform: Vendor-neutral integration of AI applications into digital pathology infrastructures

Optimistic Optimisation of Composite Objective with Exponentiated Update

Adaptive Zeroth-Order Optimisation of Nonconvex Composite Objectives

Joint Link Rate Selection and Adaptive Forward Error Correction for High-Rate Wireless Multicast

Open Set Recognition for Time Series Classification

NewsImages: Addressing the Depiction Gap with an Online News Dataset for Text-Image Rematching

The Explainability Paradox: Challenges for xAI in Digital Pathology

Competitive Learning for Unsupervised Anomaly Detection in Intelligent Transportation Systems

Evaluating generic AutoML tools for computational pathology

Towards a Taxonomy for Explainable AI in Computational Pathology

EMPAIA App Interface: An open and vendor-neutral interface for AI applications in pathology

2021

SEP4CAM – A Simulative / Emulative Platform for C-V2X Application Development in Cross-Border and Cross-Domain Environments

A Converged Cloud-Fog Architecture for Future eHealth Applications

Integrating Predictive Maintenance in Adaptive Process Scheduling for a Safe and Efficient Industrial Process

Hierarchical Deep Reinforcement Learning based Dynamic RAN Slicing for 5G V2X

Towards Intelligent Infrastructures and AI-driven Platform Ecosystems for Connected and Automated Mobility Solutions

9th International Workshop on News Recommendation and Analytics

Nachhaltigkeitskriterien für künstliche Intelligenz – Entwicklung eines Kriterien- und Indikatorensets für die Nachhaltigkeitsbewertung von KI-Systemen entlang des Lebenszyklus

Methods for Text-Image-Rematching using Pair-wise Similarity and Canonical Similarity Analysis

Image-Text Rematching for News Items using Optimized Embeddings and CNNs in MediaEval NewsImages 2021

News Images in MediaEval 2021

Multi-Objective Optimization of Energy-Efficient Production Schedules using Genetic Algorithms

Human Modeling and Interaction in Cyber-Physical Systems: A Reference Framework

Integrated Service Discovery and Placement in Information-Centric Vehicular Network Slices

Adaptive Online Learning for the Autoregressive Integrated Moving Average Models

Probabilistic Short-Term Low-Voltage Load Forecasting using Bernstein-Polynomial Normalizing Flows

Review of Low-Voltage Load Forecasting: Methods, Applications, and Recommendations

Generalized Additive Modeling of Building Inertia Thermal Energy Storage for Integration into Smart Grid Control

DIN SPEC 91410-2:2021-05: Energieflexibilität – Teil 2: Identifizierung und Bewertung von Flexibilität in Gebäuden und Quartieren

Forecasting Daily Primary Three-Hour Net Load Ramps in the CAISO System

A Distributionally Robust Optimization Approach to Unit Commitment in Microgrids

Kullback-Leibler Divergence-Based Distributionally Robust Unit Commitment Under Net Load Uncertainty

Sector-Coupled District Energy Management with Heating and Bi-Directional EV-Charging

2020

The fabric ICT platform for managing wireless dynamic charging road lanes

When algorithm selection meets Bi-linear Learning to Rank: accuracy and inference time trade off with candidates expansion