Best Publications

The L3S regularly honours the authors of the best publications of the quarter, which were presented at renowned conferences (A*) or published in high-ranking journals (Q1).

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

A Trustworthy Approach to Classify and Analyze Epidemic-Related Information From Microblogs

Analyzing Security and Privacy Advice During the 2022 Russian Invasion of Ukraine on Twitter

Beyond Accuracy: Investigating Error Types in GPT-4 Responses to USMLE Questions

CauseKG: A Framework Enhancing Causal Inference With Implicit Knowledge Deduced From Knowledge Graphs

FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing

Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games

MEDVOC: Vocabulary Adaptation for Fine-tuning Pre-trained Language Models on Medical Text Summarization

Diagrammatic Reasoning for ALC Visualizations with Logic Graphs

Does a language model “understand” high school math? A survey of deep learning based word problem solvers

FairTrade: Achieving Pareto-Optimal Trade-offs Between Balanced Accuracy and Fairness in Federated Learning

IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers

MTS2Graph: Interpretable Multivariate Time Series Classification with Temporal Evolving Graphs

Reducing CO₂ emissions in a peer-to-peer distributed payment network: Does geography matter in the lightning network?

Visuo-Haptic Object Perception for Robots: An Overview

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