A — AI and Robotics in Agriculture

A01 — Quantitative Assessment of Smart Intra-Row Weeders Using RGB-D Data
V. Pejakovic, F. Kitzler, F. Schmeisser, A. Bauer

A02 — Cross-Modal Anomaly Detection for Enhanced Reliability in Small Agricultural Robots
S. Gruber, H. Steinkellner, U. Bicici, P. Riegler-Nurscher, M. Gansberger

A03 — Dynamic Simulation and Real-Time Bale Weight Prediction Using Analytical Modeling
M. Mansouri, D. Puckmayr, P. Riegler-Nurscher

A04 — Insights from Multiple Years of Using Crop Robots in a Small-Scale Plant Production
S. Kopfinger, O. Spykman

A05 — Development of an Electrical Nose Detecting Stress in the Forest Based on a MOX Sensor Array Combined with AI
G. Schneider

B — Applied Vision

B01 — Photogrammetry Meets Computer Vision: Simplified LiDAR-to-Camera Calibration
R. Ladstädter, G. Lodron, M. Klopschitz, R. Perko

B02 — Human Perception for Print Defect Detection
L. Brunner

B03 — Assessing the Impact of Binarization for Writer Identification in Greek Papyrus
D. Akt, M. Peer, F. Kleber

B04 — Visual Emotion Recognition for an Empathic Vehicle
R. P. Palenzuela, M. Hödlmoser, N. Fraissl, T. Berens, D. Schörkhuber, B. Salzbrunn, S. Kitting, R. Dimov, M. Gelautz

B05 — Vision-Based Measurement of Rail Sleeper Vibrations
G. Zauner

B06 — Efficient Automatic Detection of Scanned Body Regions in CT Scans
B. Sabrowsky-Hirsch, A. Alshenoudy, S. Thumfart, T. Potrusil, J. Gottwald, M. Moser

B07 — On Pretraining for Earth Observation
L. Čehovin Zajc, B. Rolih, F. Wolf

B08 — Camera Movement Classification in Historical Footage: A Comparative Study of Deep Video Models
T. Lin, A. Dadras, F. Kleber, R. Sablatnig

B09 — Soft-Label-Based Regression for Contamination Grading with HSI in Plastics Recycling
S. Vedyshev

C — AI Certification, Fairness and Regulations

C01 — DP-KAN: Differentially Private Kolmogorov-Arnold Networks N. Kalinin, S. Bombari, H. Zakerinia, C. Lampert

C02 — Towards a Framework for Supporting the Ethical and Regulatory Certification of AI Systems
F. Kovac, S. Neumaier, T. Pahi, T. Priebe, R. Rodrigues, D. Christodoulou, M. Cordy, S. Kubler, A. Kordia,
G. Pitsiladis, J. Soldatos, P. Zervoudakis

C03 — Human-Robot Interaction Through a Guided Speech Dialogue System: Leveraging Semantic Analysis with Large Language Models
M. Dalkilic, W. Kurschl, J. Schoenboeck, S. Pimminger, G. Zwettler

C04 — Sequential Hypothesis Testing for Model Updates
S. Schmid, M. Lewandowski, B. Nessler

C05 — The Missing Modality: Open-Source Compliance Under the GPAI Code of Practice
A. Aufreiter, G. Aichinger, B. Nessler

C06 — Safe and Certifiable AI Systems: Concepts, Challenges, and Lessons Learned (Upcoming White Paper)
A. Gruber, B. Brune, B. Nessler

C07 — The Concept of ‘AI system’ Under the New AI Act: Arguing for a Three-Factor Approach
C. Wendehorst, B. Nessler, A. Aufreiter, G. Aichinger

C08 — FourMind: Dissecting Communication Styles of LLM-powered Chatbots S. Bergsmann, M. Lewandowski, B. Nessler

D — Digital Transformation of Animal Science Research

D01 — Lighting Matters: Evaluating the Impact of Variable Illumination on Video-Based Detection of Cattle Brush Use
H. Muraina, M. Oczak, B. Foris

D02 — Smart Monkey Lab — An AI-Based Facial-Recognition Programme for Primatological Research
S. Mustafa, R. Hammer, K.-H. Anders, L. Pflüger, G. Paulus

D03 — Efficient Pose Estimation for Cows via Vision Mamba
S. Daadouch, K. Zhao, M. Gelautz, P. Roth

D04 — Visual Measurement of Sows During Gestation
P. Helf, S. Kupfer, C. Pfeiffer, S. Gorr, J. Baumgartner, M. Oczak, P. Roth

D05 — An IoT Platform for Animal Monitoring in High Alpine Areas
P. Lederer

D06 — Optimising Young Cattle Housing Based on Accelerometer Measurements of Lying Behaviour
E. Ofner-Schröck, T. Guggenberger, G. Huber, H. Rohrer, J. Schoiswohl

D07 — Evaluation of a Bolus Sensor for Measuring Lying Duration in Dairy Cows
J. Schoiswohl, M. Waldauer, G. Huber, C. Fasching

D08 — Effect of Continuous vs. Intensive Paddock Grazing on Lying and Ruminating Behaviour of Dairy Cows
A. Steinwidder, E. Ofner-Schröck, W. Starz, H. Rohrer, G. Huber, C. Fasching, J. Schoiswohl

D09 — Comparison of Lying Behaviour During Freestall Housing vs. Continuous Grazing in Dairy Cows
A. Steinwidder, W. Starz, H. Rohrer, C. Fasching, J. Schoiswohl

D10 — Making Cow Behaviour Measurable: Complementary Use of External and Internal Sensors
J. Schoiswohl, A. Steinwidder, E. Ofner-Schröck, W. Starz, T. Guggenberger, H. Rohrer, G. Huber, M. Waldauer, C. Fasching

D11 — Effects of Social Environments and Reward Contingencies on Dogs’ Tail Kinematics
C. Canori

D12 — Deep Learning for Advancing Animal Breeding: A Study on Austrian Fleckvieh Cattle
J. Ganitzer

D13 — Model-Free Segmentation for Re-Identification of Salamanders
C. Walter, K. Szydlik, C. Dittrich, B. Rojas, P. Roth

D14 — On the (Limited) Use of Touch-Screen-Based Behavioural and Cognitive Research With Dogs: A Critical Appraisal and Case Study
C. Menne, S. Yang, C. Canori, D. Rivas-Blanco, O. Green, F. Range, T. Monteiro

D15 — Pet Scan App: Combining Optical AI With XPS for Preliminary Diagnostics
J. Meleschnig, M. Gastinger, A. Leitner, P. Roth

E — Spiking Neural Networks

E01 — Self-Supervised Predictive Learning in Recurrent Spiking Neural Networks
J. Kubik, R. Legenstein

E02 — On the Effectiveness of Label Smoothing in Spiking Neural Networks
S. Higuchi, S. Otte

E03 — AntiLIF — A Spiking Neuron Reacting to Inactivity
M. Lunglmayr, D. Windhager, B. Moser

E04 — Surrogate Gradient Calculus
S. Otte, B. Moser

E05 — Sequence Learning With Multi-Compartment Neurons on Neuromorphic Digital Hardware
M. Siegl

E06 — Learning Sparse Population Encodings
G. Kasenbacher, S. Otte

P — BILAI Summer School

P01 — MTIM: Maximal Temporal Invariant Mining
Y. Koroglu, F. Wotawa

P02 — A Surprising Link Between Cognitive Maps, Successor-Relation-Based Reinforcement Learning, and BTSP
Y. Yang

P03 — Effective Diffusion-Free Score Matching for Exact Conditional Sampling
T. Wedenig, R. Peharz

P04 — Using Qualitative Simulation Models for Monitoring and Diagnosis
A. Das, R. Koitz-Hristov, F. Wotawa

P05 — Investigating the Grounding Bottleneck for a Large-Scale Configuration Problem: Existing Tools and Constraint-Aware Guessing
V. Semmelrock, G. Friedrich

P06 — A Channel-Attention Denoising Autoencoder U-Net and Classifier (UNADAEC) for Signal Identification Under Challenging SNR Conditions
I. Ebo, I. Ajayi, L. Mroueh, Y. Ziade, S. Azarian

P07 — Einstein Fields: A Neural Perspective on Computational General Relativity
S. Cranganore

P08 — Quality Assessment of Deep Representations in Neural Networks
A. Prock, F. J. Ekaputra, M. Sabou

P09 — AI in Research: “Love Means Never Having to Say You’re Sorry”
D. Dobriy

P10 — Enhancing Constraint Programming With Large-Language-Model-Generated Streamliners
F. Voboril

P11 — What Makes Thinking Work? Exploring Intelligence Through the ARC Challenge
N. Pande, R. Peharz

P12 — Reclaiming Local Identity in Music Recommendation Through Logic Tensor Networks
H. Eckert, M. Schedl