Best Publications - L3S Research Center

Das L3S zeichnet regelmäßig die Autoren der besten Publikationen des Quartals aus, die auf renommierten Konferenzen (A*) präsentiert oder in hochrangigen Zeitschriften (Q1) veröffentlicht wurden.

Beste Veröffentlichungen

Aligning Visual Contrastive Learning Models via Preference Optimization

AutoML for multi-class anomaly compensation of sensor drift

Enhancing Online Climate Discourse: A Two-Stage Framework for Climate Content Categorization and Moderation

FedFlow: A Personalized Federated Learning Framework for Passenger Flow Prediction

Interpretable zero-shot stance detection with proactive content intervention

SimE: A Knowledge Graph Embedding Model to Encode Self-Similar Structures Through Algebraic and Geometric Transformations

UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model

ACROSS: A Deformation-Based Cross-Modal Representation for Robotic Tactile Perception

Explainable Reinforcement Learning via Dynamic Mixture Policies

From Genesis to Maturity: Managing Knowledge Graph Ecosystems Through Life Cycles [Vision]

QPM: Discrete Optimization for Globally Interpretable Image Classification

Robust Fusion of Time Series and Image Data for Improved Multimodal Clinical Prediction

Towards Interpretable Hybrid AI: Integrating Knowledge Graphs and Symbolic Reasoning in Medicine

Employing Hybrid AI Systems to Trace and Document Bias in ML Pipelines

Family history of cancer and lung cancer: Utility of big data and artificial intelligence for exploring the role of genetic risk

LaMMOn: language model combined graph neural network for multi-target multi-camera tracking in online scenarios

LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback

Open benchmark for filtering techniques in entity resolution

PALADIN: A process-based constraint language for data validation

Structure in Deep Reinforcement Learning: A Survey and Open Problems

Using AI Assistants in Software Development: A Qualitative Study on Security Practices and Concerns

Ein vertrauenswürdiger Ansatz zur Klassifizierung und Analyse von epidemiebezogenen Informationen aus Microblogs

Analyse der Sicherheits- und Datenschutzhinweise während der russischen Invasion in der Ukraine 2022 auf Twitter

Jenseits der Genauigkeit: Untersuchung von Fehlertypen in GPT-4-Antworten auf USMLE-Fragen

CauseKG: Ein Rahmenwerk zur Verbesserung der kausalen Inferenz mit implizitem Wissen aus Wissensgraphen

FLATTEN: optische FLOW-geführte ATTENtion für konsistente Text-zu-Video-Bearbeitung

Beherrschung von Null-Schuss-Interaktionen in kooperativen und kompetitiven Simultanspielen

MEDVOC: Vokabularanpassung zur Feinabstimmung vorab trainierter Sprachmodelle für die Zusammenfassung medizinischer Texte

Diagrammatic Reasoning für ALC-Visualisierungen mit Logikgraphen

“Versteht“ ein Sprachmodell die Mathematik der Oberstufe? Ein Überblick über Deep-Learning-basierte Wortproblemlöser

FairTrade: Pareto-optimale Kompromisse zwischen ausgewogener Genauigkeit und Fairness beim föderierten Lernen

IVP-VAE: Modellierung von EHR-Zeitreihen mit Anfangswertproblemlösern

MTS2Graph: Interpretierbare multivariate Zeitreihenklassifikation mit sich zeitlich entwickelnden Graphen

Verringerung der CO₂-Emissionen in einem verteilten Peer-to-Peer-Zahlungsnetz: Spielt die Geografie im Blitz-Netzwerk eine Rolle?

Visuo-Haptische Objektwahrnehmung für Roboter: Ein Überblick

A neuro-symbolic system over knowledge graphs for link prediction

AutoML in Heavily Constrained Applications

Bridging Qualitative Data Silos: the Potential of Reusing Codings through Machine Learning based Cross-study Code Linking

CollabGraph: A graph-based collaborative search summary visualisation.

FAC-fed: Federated adaptation for fairness and concept drift aware stream classification

FLAMES2Graph: An Interpretable Federated Multivariate Time Series Classification Framework

Hyperparameters in Reinforcement Learning and How to Tune Them

Inductive and Transductive Link Prediction for Criminal Network Analysis

Intensity-Valued Emotions Help Stance Detection of Climate Change Twitter Data

Modeling Appropriate Language in Argumentation

Multi-Vehicle Multi-Camera Tracking with Graph-Based Tracklet Features

On the relation between dynamic regret and closed-loop stability

Private Graph Extraction via Feature Explanations

Ranking facts for explaining answers to elementary science questions

To Revise or Not to Revise: Learning to Detect Improvable Claims for Argumentative Writing Support

Zero-Shot Entailment of Leaderboards for Empirical AI Research

A message passing framework with multiple data integration for miRNA-disease association prediction

DuetCS: Code Style Transfer through Generation and Retrieval

Efficient Neural Ranking using Forward Indexes

How to reduce the search space of Entity Resolution: with Blocking or Nearest Neighbor search?

MATE: Multi-Attribute Table Extraction

“Security is not my field, I’m a stats guy”: A Qualitative Root Cause Analysis of Barriers to Adversarial Machine Learning Defenses in Industry

TinyGenius: intertwining natural language processing with microtask crowdsourcing for scholarly knowledge graph creation

Towards an Interpretable Approach to Classify and Summarize Crisis Events from Microblogs