Best paper Award:

HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss – Abdul Matin, Tanjim Bin Faruk, Shrideep Pallickara, Sangmi Lee Pallickara

Runner up:

Beyond the Pipeline: Analyzing Key Factors in End-to-End Deep Learning for Historical Writer Identification – Hanif Rasyidi, Moshiur Farazi
Numerically Efficient Parametric Inference for Learning Space-Time Hawkes Processes – Emilia Siviero, Guillaume Staerman, Stephan Clémençon, Thomas Moreau

Program at a Glance

Day 1: 9th October

Time	Lloyd Suite	Composer’s Suite
08:30-09:20	Registration
09:20-09:30	Welcome
09:30-10:30	Keynote: Osvaldo Simeone
10:30-11:00	Coffee
11:00-12:30	Session 1: Automated Learning Strategies	Special Session on Large Language & Foundation Models
12:30-13:30	Lunch
13:30-15:00	Session 2: Representation & Clustering	Large Language & Foundation Models (cont’d)
15:00-15:30	Coffee
15:30-17:10	Session 3: Explanations & Causality	Large Language & Foundation Models (cont’d)
17:15-17:55	Panel: Trustworthy AI & Data Science
18:00-19:00	Welcome Reception

Day 2: 10th October

Time	Lloyd Suite	Composer’s Suite
09:00-10:00	Keynote: Patrick Rubin-Delanchy
10:00-10:30	Coffee
10:30-11:30	Session 1: Representation & Manifold Learning	Special Session on Advances in Modern Machine Learning
11:30-12:30	Session 2: Learning with Structure	Special Session on Advances in Modern Machine Learning
12:30-13:30	Lunch
13:30-15:00	Session 3: Interpretable & Explainable Models	Special Session on Collaborative AI: Advancing Federated Learning Across Disciplines
15:00-15:30	Coffee
15:30-17:10	Session 4: Robustness, Security & Cyber Applications	Special Session on Maritime Applications of Deep Learning Techniques: Challenges and Opportunities
19:00-20:00	Banquet Dinner

Day 3: 11th October

Time	Lloyd Suite	Composer’s Suite
09:00-10:00	Keynote: Rebecca Killick
10:00-10:30	Coffee
10:30-11:30	Session 1: Learning with Dynamic & Heterogeneous Data	Session 4: Economic & Market Analytics
11:30-12:30	Session 2: Healthcare Applications	Session 4: Economic & Market Analytics
12:30-14:00	Lunch + Coffee
14:00-15:00	Keynote: Chenlei Leng
15:00-15:30	Coffee
15:30-17:00	Session 3: Learning with Structured Data	Session 5: NLP & Audio Processing

Day 4: 12th October

Time	Lloyd Suite	Composer’s Suite
09:00-10:30	Tutorial: Practical time series classification
10:30-11:00	Coffee
11:00-12:00	Tutorial (cont’d)
12:00-13:00	Lunch
13:00-14:40	Session 1: Temporal & Streaming Systems	Contributed talks
14:40-15:10	Coffee
15:10-16:30	Session 2: Industrial, Energy & Science Applications
16:30-17:00	Best Paper Announcement + Closing

Conference Brochure

Detailed Program

Day 1(9th October 2025), Lloyd Suite

08:30-09:20 — Registration badges pick-up

09:20-09:30 — Welcome

09:30–10:30 — Keynote: Osvaldo Simeone – Ensuring Reliability via Hyperparameter Selection: Theory and Applications
Chair: Ata Kaban

10:30–11:00 — Coffee

11:00-12:30 — Session 1: Automated Learning Strategies

135 – Multi Algorithm Selection and Hyperparameter Optimization for Automated Clustering – Georg Stefan Schlake, Max Pernklau, Christian Beecks – Research Track
112 – Auto-CEn: AutoML for Classifier Ensembles – Diversity-based Classifier Selection and Decision Fusion Optimization – Julius Voggesberger, Peter Reimann, Dennis Treder-Tschechlov, Bernhard Mitschang – Research Track
120 – Evaluating Anomaly Detection Algorithms: The Role of Hyperparameters and Standardized Benchmarks – Simon Klüttermann, Shubham Gupta, Emmanuel Mueller – Research Track
141 – Abstention is all you need – Erik Schönwälder, Christian Falkenberg, Claudio Hartmann, Wolfgang Lehner – Research Track

12:30-13:30 — Lunch

13:30-15:00 — Session 2: Representation & Clustering
Chair: Shengkun Xie

98 – Nonnegative matrix factorization and the principle of the common cause – Edvard Khalafyan, Armen Allahverdyan, Arshak Hovhannisyan – Research Track
28 – HyperNeRFGAN: Camera-Free 3D Scene Generation via Hypernetwork-Driven Neural Radiance Fields – Adam Kania, Artur Kasymov, Jakub Kościukiewicz, Artur Górak, Marcin Mazur, Maciej Zieba, Przemysław Spurek – Research Track
181 – CA-HIL: A Competency-Aware Framework for Bridging Automation and Human Expertise in Data Science Projects – Maike Holtkemper, Christian Beecks – Research Track
MLJ – Zhiwen Luo, Wentao Fan, Manar Amayri, Nizar Bouguila: High-Dimensional Axial Data Clustering via Watson Mixture Variational Autoencoder. Presenter: Seunghyun Hong.

15:00-15:30 — Coffee

15:30-17:10 — Session 3: Explanations & Causality

46 – CACTUS: Cross-Aligned Counterfactual Explanation for Time Series Classification – Pouya Hosseinzadeh, Peiyu Li, Omar Bahri, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi – Research Track
168 – Diverse and Plausible Counterfactual Explanations for Time Series via Latent Space Optimization – Peiyu Li, Omar Bahri, Pouya Hosseinzadeh, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi – Research Track
224 – A New Framework for Causal Inference without Missing Data Analysis: Bayes Optimal Treatment Effect Estimation – Kohei Horinouchi, Shimpei Onishi, Toshiyasu Matsushima – Research Track (Short Paper)
39 – Anomaly Detection under Contaminated Data: A Weighted Iterative Refinement Framework for Health Monitoring – Stefano Donné, Filip Van Utterbeeck, Jesse Davis, Mathias Verbeke – Applications Track
146 – Leveraging Causal Discovery to Tackle Complexity in Model-based Anomaly Detection: Case-study from Blast Furnace Operation – Matej Vuković, Belgin Mutlu, Thomas Kristan, Petra Krahwinkler, Christian Tauber, Stefan Thalmann – Applications Track

17:15-17:55 – Panel Discussion: Trustworthy AI & Data Science
Chair: Huiping Chen
Panelists: Prof. Erol Gelenbe, Prof. Chenlei Leng, Prof. Carlos Ordonez, Dr. Puyu Wang, Dr. Matej Vuković

18:00 – Welcome Reception

Day 1 (9th October 2025), Composer’s Suite

11:00-12:30 – Special Session on Large Language and Foundation Models – From Theory to Practice

Keynote – Making GPUs go BRRRR: Scaling LLM pretraining to thousands of GPUs – Max Lübbering

197 – Towards LLM-guided Healthcare Dataset Harmonization – Christos Smailis, Carlos Ordonez, Ioannis A. Kakadiaris – Special Session: From Theory to Practice: Special Session on Large Language and Foundation Models (Short Paper)
149 – Reasoning LLMs in the Medical Domain: A Literature Survey – Armin Berger, Sarthak Khanna, Tobias Deußer, Lorenz Sparrenberg, Rafet Sifa – Research Track
159 – Semi-Supervised Relation Extraction Informed by Area Under the Margin Ranking and Large Language Models – Nikita Gautam, Bipin Paudel, Doina Caragea, Cornelia Caragea – Research Track

12:30-13:30 – Lunch

13:30-15:00 – Special Session (cont’d)

29 – Reproducibility and Case sensitivity of LLMs for Anonymizing Depressed Tweets – Sameen Mansha, Hamza Mahmood, Anne Håkansson, Faisal Kamiran, Vladimir Vlassov – Special Session: From Theory to Practice: Special Session on Large Language and Foundation Models
136 – A Survey on Large Language Model Quantization Methods used in llama.cpp – Lorenz Sparrenberg, Tobias Deußer, Armin Berger, Rafet Sifa – Applications Track
84 – Predicting Player Churn with LLMs: Comprehensive Evaluation of World Knowledge and Reasoning – Tobias Schneider, Lorenz Sparrenberg, Rafet Sifa – Applications Track

Keynote: Topology-Informed Fine-Tuning and Quantization of Large Language Models – Cüneyt Gürcan Akçora

15:00-15:30 — Coffee

15:30-16:10 — Special Session (cont’d)

44 – Student-perceived Cognitive Load of LLM-generated Programming Exercises – Ludia Eka Feri, Muhammad Fawad Akbar Khan, Ha Nguyen, Hamid Karimi – Applications Track
119- From Engineering Diagrams to Graphs: Digitizing P&IDs with Transformers – Jan Marius Stürmer, Marius Graumann, Tobias Koch – Applications Track

Day 2 (10th October 2025), Lloyd Suite

08:30-09:00 – Registration (badge pick-up)

09:00–10:00 – Keynote: Patrick Rubin-Delanchy – The Manifold Hypothesis in Science & AI
Chair: Olu Oyebamiji

10:00–10:30 — Coffee

10:30-11:30 – Session 1: Representation & Manifold Learning
Chair: Jen-Wei Huang

82 – Metapath-Free Heterogeneous Network Embedding via Heterogeneous Adjacency Matrix Reconstruction Based Mask Graph Autoencoders and Semantic Relation Aggregation – Hao-Cheng Ni, Shiou-Chi Li, Jen-Wei Huang – Research Track
178 – Scalable Deep Subspace Clustering Network – Nairouz Mrabah, Mohamed Bouguessa, Siham Sami – Research Track
97 – ModelForge: A Metric Approach to Machine Learning Model Consolidation – Florian Siepe, Thomas Peter Prinz, Thorsten Papenbrock – Research Track

11:30-12:30 – Session 2: Learning with Structure
Chair: Shrey Gupta

166 – Hyperon: An Online Hyperparameter Tuning Approach for Data Stream Learning – Sadia Tabassum, Leandro L. Minku – Research Track
205 – Mind the Gap: Validating System Requirements for Competence-Based Decision Support in Data Science Projects – Maike Holtkemper, Christian Beecks – Research Track (Short Paper)
63 – Numerically Efficient Parametric Inference for Learning Space-Time Hawkes Processes – Emilia Siviero, Guillaume Staerman, Stephan Clémençon, Thomas Moreau – Research Track

12:30–13:30 — Lunch

13:30-15:00 – Session 3: Interpretable & Explainable Models
Chair: Karla Schäfer

85 – Evaluating Interpretability using Logical Relations: Do Saliency Maps Encode Relevant Information? – Leonid Schwenke, Martin Atzmueller – Research Track
83 – A Global Dataset-Specific Any-Order Minimal Expectation Baseline for Saliency Scores – Leonid Schwenke, Martin Atzmueller – Research Track
87 – Diffusion for Explainable Unsupervised Anomaly Detection – Elouan Vincent, Alexandre Dréan, Julien Perez, Marc Plantevit, Céline Robardet – Research Track
195 – Data Subcard: Evaluating Privacy, Fairness, Quality, and Protection in Tabular Data, as Part of the System Cards Framework – Tadesse K. Bahiru, Carlos Ordonez, Ioannis A. Kakadiaris – Applications Track (Short Paper)

15:00–15:30 — Coffee

15:30-17:10 – Session 4: Robustness, Security & Cyber Applications
Chair: Carlos Ordonez

62 – Rethinking RobustBench: Is High Synthetic-Test Data Similarity an Implicit Information Advantage Inflating Robustness Scores? – Chao Pan, Ke Tang, Li Qing, Xin Yao – Research Track
59 – ADT++: Advanced Adversarial Distributional Training with Class-wise Robustness – Samer Khamaiseh, Deirdre Jost, Anas Alsobeh, Abdullah Al-Alaj, Honglu Jiang – Research Track
69 – Comparative Analysis of Neural Network Architectures for Telemetry-Driven Malware Behavior Classification – Michael Schladt, John Gallagher – Applications Track
138 – Evaluating Defensive Influence in Multi-Agent Systems Using Graph Attention Networks – Gregory Everett, Ryan Beal, Tim Matthews, Timothy J. Norman, Sarvapali D Ramchurn – Applications Track
107 – Data Driven Optimum Cyberattack Mitigation – Erol Gelenbe, Mohammed Nasereddin – Research Track

19:00-20:00 — Banquet Dinner

Day 2 (10th October 2025), Composer’s Suite

10:30-12:30 – Special Session on Advances in Modern Machine Learning
Chair: Marcin Wozniak

118 – A Survey on Current Trends and Recent Advances in Text Anonymization – Tobias Deußer, Lorenz Sparrenberg, Armin Berger, Max Hahnbück, Christian Bauckhage, Rafet Sifa – Special Session: Advances in Modern Machine Learning
81 – Optimal Utility Bounds for Differentially Private Gradient Descent in Three-Layer Neural Networks – Puyu Wang, Yunwen Lei, Marius Kloft, Yiming Ying – Special Session: Advances in Modern Machine Learning
50 – A Comparative Study of Non-linear Modelling Capabilities of T-S Fuzzy Models and Back-Propagation Neural Networks – LinXiang Li, Kainan Liu, Xiaojun Ban, Shengkun Xie – Special Session: Advances in Modern Machine Learning
SP – TablEye: Few-shot tabular learning in the Image domain – Seungeon Lee, Sang-Chul Lee
121 – Unveiling Fairness and Performance of Causal Discovery – Sónia Teixeira, Ana Rita Nogueira, Joao Gama – Research Track

12:30–13:30 — Lunch

15:00–15:30 — Coffee

13:30-15:00 – Special Session: Collaborative AI: Advancing Federated Learning Across Disciplines
Chair: Franck-Michael Schleif

68 – Hybrid Federated Learning Framework with Client-Tailored Attentive Feature Extractor for Agricultural Health Monitoring – Antoni Jaszcz, Agnieszka Polowczyk, Alicja Polowczyk, Katarzyna Wiltos, Dawid Połap, Marcin Wozniak – Special Session: Collaborative AI: Advancing Federated Learning Across Disciplines
42 – Atrous-CNN with Hierarchical-Based Training Strategy Approach for Decentralized Tasks – Antoni Jaszcz, Agnieszka Polowczyk, Alicja Polowczyk, Katarzyna Wiltos, Dawid Połap, Marcin Wozniak – Special Session: Collaborative AI: Advancing Federated Learning Across Disciplines
52 – 3D Point Cloud Classification using Graph Convolutional Network with Multi-Scale Pooling – Alicja Polowczyk, Agnieszka Polowczyk, Antoni Jaszcz, Marcin Wozniak, Dawid Połap – Research Track
220 – Explainable-AI Enhanced Predictive Analytics System for Collaborative Learning in Smart Educational Environments – Rawia Bdiwi – Research Track (Short Paper)

15:00-15:30 – Coffee

15:30-17:00 – Special Session on Maritime Applications of Deep Learning Techniques: Challenges and Opportunities
Chair: Youcef Djenouri

123 – Cybersecurity Recommendations for Planning and Securing Port 4.0 and Maritime Industry against Cyberattacks – Nitesh Bharot, Priyanka Verma, Rutvij H. Jhaveri, John G. Breslin – Special Session: Maritime Applications of Deep Learning Techniques: Challenges and Opportunities
103 – Drone swarm sensitivity estimation using Bayesian Theory for search and rescue operations – Luciano Netto de Lima, Ali Ghaderi, Fabio A. A. Andrade, Youcef Djenouri, Carlos F. Pfeiffer, Marcos Moura – Special Session: Maritime Applications of Deep Learning Techniques: Challenges and Opportunities
58 – Offshore Asset Inspection Redefined: Expert-Validated Deep Learning for Critical Defects – Urmila Gurung, M S Mekala, Nikolaus Zolnhofer, Carlos Francisco Moreno-Garcia, Eyad Elyan, Barry Marshall – Special Session: Maritime Applications of Deep Learning Techniques: Challenges and Opportunities

Day 3 (11th October 2025), Lloyd Suite

09:00–10:00 — Keynote: Rebecca Killick – The Art of the Pivot: Detecting Shifts in your Data Streams
Chair: Sharu Jose

10:00–10:30 — Coffee

10:30-11:30 – Session 1: Learning with Dynamic & Heterogeneous Data
Chair: Samer Khamaiseh

132 – The Value of Diversity for Dealing with Concept Drift in Class-Imbalanced Data Streams – Chun Wai Chiu, Leandro L. Minku – Research Track
108 – Fast Training on Dynamic Heterogeneous Information Network for Fake News Detection – Jinho Go, Aldhytha Karina Sari, Jiaojiao Jiang, Shuiqiao Yang, Sanjay Kumar Jha – Research Track
128 – HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss – Abdul Matin, Tanjim Bin Faruk, Shrideep Pallickara, Sangmi Lee Pallickara – Research Track

11:30-12:30 – Session 2: Healthcare Applications
Chair: Sónia Teixeira

173 – First Investigation of Deep Learning for Intraoperative Gauze Segmentation in Minimally Invasive Abdominal Surgery – Priya Tomar, Maximilian Broß, Philipp Feodorovici, Jan Arensmeyer, Philipp Leifels, Aditya Parikh, Hanno Matthaei, Christian Bauckhage, Helen Schneider, Rafet Sifa – Applications Track
96 – EPDD: Electrocardiogram-based Pulmonary Disease Detector Using Machine Learning – Hari Sree Lalitha Vardhini Vanaparthi, Natasha Interlichia, Xudong Liu, Mona Nasseri, Scott A Helgeson – Applications Track
94 – Enhancing Medical Diagnosis with Instance Hardness-Guided Multi-Level Cross-Validation for Imbalanced Learning – Mabrouka Salmi, Dalia Atif, Sebastián Ventura Soto – Applications Track

12:30–13:30 — Lunch

13:30–14:00 — Coffee

14:00–15:00 — Keynote: Chenlei Leng – Statistical Modeling of Network Features: From Foundations to Data Science Applications
Chair: Ata Kaban

15:00–15:30 — Coffee

15:30-17:00 – Session 3: Learning with Structured Data
Chair: Grzegorz Dudek

174 – Reasoning with Knowledge Graphs for Trustworthy Course Recommendation – Md Akib Zabed Khan, Dongsheng Luo, Agoritsa Polyzou – Applications Track
100 – DyCAF-Net: Dynamic Class-Aware Fusion Network – Md Abrar Jahin, Shahriar Soudeep, Dr. M. F. Mridha, Nafiz Fahad, Md. Jakir Hossen – Applications Track
210 – REFINE: Enabling Efficient and Trustworthy Modeling of Financial Networks via GNN-to-MLP Knowledge Distillation – Vipul Kumar Singh, Jyotismita Barman, Sandeep Kumar, Jayadeva Jayadeva – Applications Track (Short Paper)
230 – Spatially Adaptive PM2.5 Estimation with Variational Gaussian Processes in Low-sensor Regions – Shrey Gupta, Avani Wildani, Yang Liu – Applications Track (Short Paper)

Day 3 (11th October 2025), Composer’s Suite

10:30-12:00 – Session 4: Economic & Market Analytics
Chair: Puyu Wang

8 – Probabilistic Forecasting Cryptocurrencies Volatility: From Point to Quantile Forecasts – Grzegorz Dudek, Witold Orzeszko, Piotr Fiszeder – Applications Track
20 – Improving the End to End Purchasing process in Indirect Procurement – Rama Reddy – Industry Track
60 – Enhancing Touchless Sales Inventory and Operation Planning (SIOP) Using Machine Learning for Root Cause Analysis and Risk Mitigation – Sayantani Ghosh – Industry Track
16 – An Event Study Framework for Analyzing Bidirectional Causality Between House Prices and Premium Café Entry – Sachin Date – Applications Track

12:30- 13:30 – Lunch

15:30-17:00 – Session 5: NLP & Audio Processing
Chair: Urmila Gurung

9 – Every Tweet Counts? Sentiment Analysis of Public Response on X toward Indonesias Free Nutritious Meal Program – Revalda Putawara, Zakiatul Wildani, Nur Mazhariya Ulmi, Ayu Mutia, Merysa, Rezky Aulia Yusuf – Applications Track
192 – RST-NDAS:RST Nuclei for Discourse-Aware Abstractive Summarization – Mohammadreza Sediqin, Shlomo Argamon – Research Track (Short Paper)
204 – Generalization in Audio Deepfake Detection: Evaluating ASR Encoder-Based Feature Extraction – Karla Schäfer, Martin Steinebach – Research Track (Short Paper)
116 – Expert Detection on Crowdsourcing Forums via Sheaf Laplacian – Mehmet Emin Aktas, Iraj James Moradi, Ibrahim Mesut Cosar, Yateeka Goyal, Asya Alyaz, Esra Akbas, Mehmet Eren Ahsen – Research Track

Day 4 (12th October 2025), Lloyd Suite

09:00–10:30 — Tutorial: Practical Time Series Classification: An Overview of Current Research and Solutions for Imperfect Data (part 1)

10:30-11:00 — Coffee

11:00-12:00– Tutorial (part 2)

12:00-13:00 — Lunch

13:00-14:40 – Session 1: Temporal & Streaming Systems
Chair: Lorenz Sparrenberg

72 – Operational Evaluation of Algorithms for Online Streaming Continual Multi-Label Classification – Hugo Peuzet, Pascale Kuntz, Frank Meyer, Vincent Lemaire, Killian Le Mau – Research Track
73 – Beyond the Pipeline: Analyzing Key Factors in End-to-End Deep Learning for Historical Writer Identification – Hanif Rasyidi, Moshiur Farazi – Research Track
65 – Automatic Feature Engineering for Time Series Extrinsic Regression: a Comparative study of Signal Processing Libraries – Aurélien Renault, Dominique Gay, Nour Eddine Yassine Nair Benrekia, Vincent Lemaire, Alexis Bondu – Research Track
76 – SpInN: A Time Series Foundation Model for Spectral Indices Recommendation for Earth Observation Applications using Satellite Data – Arshveer Kaur, Poonam Goyal, Vansh Bansal, Deep Pandya, Navneet Goyal – Research Track
95 – Multi-Objective Quantum Power System Redispatch – Loong Kuan Lee, Thore Gerlach, Johannes Knaute, Florian Gerhardt, Patrick Völker, Tomislav Maras, Alexander Dotterweich, Nico Piatkowski – Research Track

14:40–15:10 — Coffee

15:10-16:30 – Session 2: Industrial, Energy & Science Applications

37 – PSM: Proactive Spill Mitigation in PySpark – Amin Karami – Research Track
66 – Towards Unified Multimodal Financial Forecasting: Integrating Sentiment Embeddings and Market Indicators via Cross-Modal Attention – Armin Berger, David Berghaus, Sarthak Khanna, Tobias Deußer, Lorenz Sparrenberg, Rafet Sifa – Industry Track
38 – Explainability of Molecular Graph Neural Network – Ataollah Kamal, Matej Hladiš, Jérémie Topin, Marc Plantevit, Sebastien Fiorucci, Céline Robardet – Applications Track
34 – Detection (Reconstruction) of Long-Lived Particle Tracks in LHCb Experiment, CERN – Piotr Kulczycki, Grzegorz Gołaszewski, Tomasz Szumlak, Szymon Lukasik – Applications Track

15:30-16:00 — Best Paper Announcement & Closing

Day 4 (12th October 2025), Composer’s Suite

13:00-14:40 – Contributed talks: Special Track on Emerging Data Science Advances

Manuel Dileo (University of Milan)*; Matteo Zignani (Università degli Studi di Milano); Sabrina Gaito (Università degli Studi di Milano). “A discrete-time deep learning framework for temporal heterogeneous networks forecasting”
Jie Ou (University of Electronic Science and Technology of China); Xiaowang Li (University of Electronic Science and Technology of China); Yueming Chen (University of Electronic Science and Technology of China); Jiahong Qian (Huawei Technologies Co. Ltd); Teng Su (Huawei Technologies Co. Ltd); Tian Wenhong (University of Electronic Science and Technology of China)*. “Efficient and Automatic 3D Parallelism Strategies Search via Contrastive Reinforcement Learning Pretrained Neural Networks”
Samuel Stocksieker (Institut de Mathématiques de Marseille / Aix-Marseille University)*; Denys Pommeret (Institut de Mathématiques de Marseille / Aix-Marseille University / CNRS); Arthur Charpentier (UQAM). “Delving into Deep Smoothed Bootstrap: Application in Imbalanced Regression”

All accepted papers reviewed and accepted by the conference committee will be presented as talks at the conference and included in the proceedings upon receiving at least one full (non-student) registration of an author and presentation of the paper at the conference. Consequently, there will be no poster presentations. All presentations are allotted 20 minutes, including Q/A. Papers accepted as Poster are advised to leave 5-6 minutes for Q/A. Papers accepted Oral should leave 2-3 minutes for Q/A.

The program also includes contribuited talks. These only require a student registration and will not lead to publication in proceedings. Contributed talks are also allotted 20 minutes, including 5 minutes Q/A.

Accepted Papers

230- Spatially Adaptive PM2.5 Estimation with Variational Gaussian Processes in Low-sensor Regions – Shrey Gupta, Avani Wildani, Yang Liu – Applications Track (Short Paper)

224- A New Framework for Causal Inference without Missing Data Analysis: Bayes Optimal Treatment Effect Estimation – Kohei Horinouchi, Shimpei Onishi, Toshiyasu Matsushima – Research Track (Short Paper)

220- Explainable-AI Enhanced Predictive Analytics System for Collaborative Learning in Smart Educational Environments – Rawia Bdiwi – Research Track (Short Paper)

210- REFINE: Enabling Efficient and Trustworthy Modeling of Financial Networks via GNN-to-MLP Knowledge Distillation – Vipul Kumar Singh, Jyotismita Barman, Sandeep Kumar, Jayadeva Jayadeva – Applications Track (Short Paper)

205- Mind the Gap: Validating System Requirements for Competence-Based Decision Support in Data Science Projects – Maike Holtkemper, Christian Beecks – Research Track (Short Paper)

204- Generalization in Audio Deepfake Detection: Evaluating ASR Encoder-Based Feature Extraction – Karla Schäfer, Martin Steinebach – Research Track (Short Paper)

197- Towards LLM-guided Healthcare Dataset Harmonization – Christos Smailis, Carlos Ordonez, Ioannis A. Kakadiaris – Special Session: From Theory to Practice: Special Session on Large Language and Foundation Models (Short Paper)

195- Data Subcard: Evaluating Privacy, Fairness, Quality, and Protection in Tabular Data, as Part of the System Cards Framework – Tadesse K. Bahiru, Carlos Ordonez, Ioannis A. Kakadiaris – Applications Track (Short Paper)

192- RST-NDAS:RST Nuclei for Discourse-Aware Abstractive Summarization – Mohammadreza Sediqin, Shlomo Argamon – Research Track (Short Paper)

181- CA-HIL: A Competency-Aware Framework for Bridging Automation and Human Expertise in Data Science Projects – Maike Holtkemper, Christian Beecks – Research Track

178- Scalable Deep Subspace Clustering Network – Nairouz Mrabah, Mohamed Bouguessa, Siham Sami – Research Track

175- TIMBERTREK-Driven Exploration of Interpretable Decision Trees for NAFLD Diagnosis – Ritesh Chandra, Sadhana Tiwari, Himanshi Singh, Sonali Agarwal – Research Track

174- Reasoning with Knowledge Graphs for Trustworthy Course Recommendation – Md Akib Zabed Khan, Dongsheng Luo, Agoritsa Polyzou – Applications Track

173- First Investigation of Deep Learning for Intraoperative Gauze Segmentation in Minimally Invasive Abdominal Surgery – Priya Tomar, Maximilian Broß, Philipp Feodorovici, Jan Arensmeyer, Philipp Leifels, Aditya Parikh, Hanno Matthaei, Christian
Bauckhage, Helen Schneider, Rafet Sifa – Applications Track

168- Diverse and Plausible Counterfactual Explanations for Time Series via Latent Space Optimization – Peiyu Li, Omar Bahri, Pouya Hosseinzadeh, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi – Research Track

166- Hyperon: An Online Hyperparameter Tuning Approach for Data Stream Learning – Sadia Tabassum, Leandro L. Minku – Research Track

159- Semi-Supervised Relation Extraction Informed by Area Under the Margin Ranking and Large Language Models – Nikita Gautam, Bipin Paudel, Doina Caragea, Cornelia Caragea – Research Track

149- Reasoning LLMs in the Medical Domain: A Literature Survey – Armin Berger, Sarthak Khanna, Tobias Deußer, Lorenz Sparrenberg, Rafet Sifa – Research Track

146- Leveraging Causal Discovery to Tackle Complexity in Model-based Anomaly Detection: Case-study from Blast Furnace Operation – Matej Vuković, Belgin Mutlu, Thomas Kristan, Petra Krahwinkler, Christian Tauber, Stefan Thalmann – Applications Track

141- Abstention is all you need – Erik Schönwälder, Christian Falkenberg, Claudio Hartmann, Wolfgang Lehner – Research Track

138- Evaluating Defensive Influence in Multi-Agent Systems Using Graph Attention Networks – Gregory Everett, Ryan Beal, Tim Matthews, Timothy J. Norman, Sarvapali D Ramchurn – Applications Track

136- Small and Fast LLMs on Commodity Hardware: Post-Training Quantization in llama.cpp – Lorenz Sparrenberg, Tobias Deußer, Armin Berger, Rafet Sifa – Applications Track

135- Multi Algorithm Selection and Hyperparameter Optimization for Automated Clustering – Georg Stefan Schlake, Max Pernklau, Christian Beecks – Research Track

132- The Value of Diversity for Dealing with Concept Drift in Class-Imbalanced Data Streams – Chun Wai Chiu, Leandro L. Minku – Research Track

128- HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss – Abdul Matin, Tanjim Bin Faruk, Shrideep Pallickara, Sangmi Lee Pallickara – Research Track

123- Cybersecurity Recommendations for Planning and Securing Port 4.0 and Maritime Industry against Cyberattacks – Nitesh Bharot, Priyanka Verma, Rutvij H. Jhaveri, John G. Breslin – Special Session: Maritime Applications of Deep Learning Techniques: Challenges and Opportunities

121- Unveiling Fairness and Performance of Causal Discovery – Sónia Teixeira, Ana Rita Nogueira, Joao Gama – Research Track

120- Evaluating Anomaly Detection Algorithms: The Role of Hyperparameters and Standardized Benchmarks – Simon Klüttermann, Shubham Gupta, Emmanuel Mueller – Research Track

119- From Engineering Diagrams to Graphs: Digitizing P&IDs with Transformers – Jan Marius Stürmer, Marius Graumann, Tobias Koch – Applications Track

118- A Survey on Current Trends and Recent Advances in Text Anonymization – Tobias Deußer, Lorenz Sparrenberg, Armin Berger, Max Hahnbück, Christian Bauckhage, Rafet Sifa – Special Session: Advances in Modern Machine Learning

116- Expert Detection on Crowdsourcing Forums via Sheaf Laplacian – Mehmet Emin Aktas, Iraj James Moradi, Ibrahim Mesut Cosar, Yateeka Goyal, Asya Alyaz, Esra Akbas, Mehmet Eren Ahsen – Research Track

112- Auto-CEn: AutoML for Classifier Ensembles – Diversity-based Classifier Selection and Decision Fusion Optimization – Julius Voggesberger, Peter Reimann, Dennis Treder-Tschechlov, Bernhard Mitschang – Research Track

110- Hamiltonian Neural Networks for Robust Out-of-Time Credit Scoring: Empirical Validation and Temporal Stability Analysis – Javier Marín – Research Track (Short Paper)

108- Fast Training on Dynamic Heterogeneous Information Network for Fake News Detection – Jinho Go, Aldhytha Karina Sari, Jiaojiao Jiang, Shuiqiao Yang, Sanjay Kumar Jha – Research Track

107- Data Driven Optimum Cyberattack Mitigation – Erol Gelenbe, Mohammed Nasereddin – Research Track

103- Drone swarm sensitivity estimation using Bayesian Theory for search and rescue operations – Luciano Netto de Lima, Ali Ghaderi, Fabio A. A. Andrade, Youcef Djenouri, Carlos F. Pfeiffer, Marcos Moura – Special Session: Maritime Applications of Deep Learning Techniques: Challenges and Opportunities

101- Predictive Multiplicity in Survival Models for Trustworthy Predictive Maintenance – Mustafa Cavus – Research Track

100- DyCAF-Net: Dynamic Class-Aware Fusion Network – Md Abrar Jahin, Shahriar Soudeep, Dr. M. F. Mridha, Nafiz Fahad, Md. Jakir Hossen – Applications Track

98- Nonnegative matrix factorization and the principle of the common cause – Edvard Khalafyan, Armen Allahverdyan, Arshak Hovhannisyan – Research Track

97- ModelForge: A Metric Approach to Machine Learning Model Consolidation – Florian Siepe, Thomas Peter Prinz, Thorsten Papenbrock – Research Track

96- EPDD: Electrocardiogram-based Pulmonary Disease Detector Using Machine Learning – Hari Sree Lalitha Vardhini Vanaparthi, Natasha Interlichia, Xudong Liu, Mona Nasseri, Scott A Helgeson – Applications Track

95- Multi-Objective Quantum Power System Redispatch – Loong Kuan Lee, Thore Gerlach, Johannes Knaute, Florian Gerhardt, Patrick Völker, Tomislav Maras, Alexander Dotterweich, Nico Piatkowski – Research Track

94- Enhancing Medical Diagnosis with Instance Hardness-Guided Multi-Level Cross-Validation for Imbalanced Learning – Mabrouka Salmi, Dalia Atif, Sebastián Ventura Soto – Applications Track

87- Diffusion for Explainable Unsupervised Anomaly Detection – Elouan Vincent, Alexandre Dréan, Julien Perez, Marc Plantevit, Céline Robardet – Research Track

85- Evaluating Interpretability using Logical Relations: Do Saliency Maps Encode Relevant Information? – Leonid Schwenke, Martin Atzmueller – Research Track

84- Predicting Player Churn with LLMs: Comprehensive Evaluation of World Knowledge and Reasoning – Tobias Schneider, Lorenz Sparrenberg, Rafet Sifa – Applications Track

83- A Global Dataset-Specific Any-Order Minimal Expectation Baseline for Saliency Scores – Leonid Schwenke, Martin Atzmueller – Research Track

82- Metapath-Free Heterogeneous Network Embedding via Heterogeneous Adjacency Matrix Reconstruction Based Mask Graph Autoencoders and Semantic Relation Aggregation – Hao-Cheng Ni, Shiou-Chi Li, Jen-Wei Huang – Research Track

81- Optimal Utility Bounds for Differentially Private Gradient Descent in Three-Layer Neural Networks – Puyu Wang, Yunwen Lei, Marius Kloft, Yiming Ying – Special Session: Advances in Modern Machine Learning

76- SpInN: A Time Series Foundation Model for Spectral Indices Recommendation for Earth Observation Applications using Satellite Data – Arshveer Kaur, Poonam Goyal, Vansh Bansal, Deep Pandya, Navneet Goyal – Research Track

73- Beyond the Pipeline: Analyzing Key Factors in End-to-End Deep Learning for Historical Writer Identification – Hanif Rasyidi, Moshiur Farazi – Research Track

72- Operational Evaluation of Algorithms for Online Streaming Continual Multi-Label Classification – Hugo Peuzet, Pascale Kuntz, Frank Meyer, Vincent Lemaire, Killian Le Mau – Research Track

69- Comparative Analysis of Neural Network Architectures for Telemetry-Driven Malware Behavior Classification – Michael Schladt, John Gallagher – Applications Track

68- Hybrid Federated Learning Framework with Client-Tailored Attentive Feature Extractor for Agricultural Health Monitoring – Antoni Jaszcz, Agnieszka Polowczyk, Alicja Polowczyk, Katarzyna Wiltos, Dawid Połap, Marcin Wozniak – Special Session: Collaborative AI: Advancing Federated Learning Across Disciplines

66- Towards Unified Multimodal Financial Forecasting: Integrating Sentiment Embeddings and Market Indicators via Cross-Modal Attention – Armin Berger, David Berghaus, Sarthak Khanna, Tobias Deußer, Lorenz Sparrenberg, Rafet Sifa – Industry Track

65- Automatic Feature Engineering for Time Series Extrinsic Regression: a Comparative study of Signal Processing Libraries – Aurélien Renault, Dominique Gay, Nour Eddine Yassine Nair Benrekia, Vincent Lemaire, Alexis Bondu – Research Track

63- Numerically Efficient Parametric Inference for Learning Space-Time Hawkes Processes – Emilia Siviero, Guillaume Staerman, Stephan Clémençon, Thomas Moreau – Research Track

62- Rethinking RobustBench: Is High Synthetic-Test Data Similarity an Implicit Information Advantage Inflating Robustness Scores? – Chao Pan, Ke Tang, Li Qing, Xin Yao – Research Track

60- Enhancing Touchless Sales Inventory and Operation Planning (SIOP) Using Machine Learning for Root Cause Analysis and Risk Mitigation – Sayantani Ghosh – Industry Track

59- ADT++: Advanced Adversarial Distributional Training with Class-wise Robustness – Samer Khamaiseh, Deirdre Jost, Anas Alsobeh, Abdullah Al-Alaj, Honglu Jiang – Research Track

58- Offshore Asset Inspection Redefined: Expert-Validated Deep Learning for Critical Defects – Urmila Gurung, M S Mekala, Nikolaus Zolnhofer, Carlos Francisco Moreno-Garcia, Eyad Elyan, Barry Marshall – Special Session: Maritime Applications of Deep Learning Techniques: Challenges and Opportunities

52- 3D Point Cloud Classification using Graph Convolutional Network with Multi-Scale Pooling – Alicja Polowczyk, Agnieszka Polowczyk, Antoni Jaszcz, Marcin Wozniak, Dawid Połap – Research Track

50- A Comparative Study of Non-linear Modelling Capabilities of T-S Fuzzy Models and Back-Propagation Neural Networks – LinXiang Li, Kainan Liu, Xiaojun Ban, Shengkun Xie – Special Session: Advances in Modern Machine Learning

46- CACTUS: Cross-Aligned Counterfactual Explanation for Time Series Classification – Pouya Hosseinzadeh, Peiyu Li, Omar Bahri, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi – Research Track

44- Student-perceived Cognitive Load of LLM-generated Programming Exercises – Ludia Eka Feri, Muhammad Fawad Akbar Khan, Ha Nguyen, Hamid Karimi – Applications Track

42- Atrous-CNN with Hierarchical-Based Training Strategy Approach for Decentralized Tasks – Antoni Jaszcz, Agnieszka Polowczyk, Alicja Polowczyk, Katarzyna Wiltos, Dawid Połap, Marcin Wozniak – Special Session: Collaborative AI: Advancing Federated Learning Across Disciplines

39- Anomaly Detection under Contaminated Data: A Weighted Iterative Refinement Framework for Health Monitoring – Stefano Donné, Filip Van Utterbeeck, Jesse Davis, Mathias Verbeke – Applications Track

38- Explainability of Molecular Graph Neural Network – Ataollah Kamal, Matej Hladiš, Jérémie Topin, Marc Plantevit, Sebastien Fiorucci, Céline Robardet – Applications Track

37- PSM: Proactive Spill Mitigation in PySpark – Amin Karami – Research Track

34- Detection (Reconstruction) of Long-Lived Particle Tracks in LHCb Experiment, CERN – Piotr Kulczycki, Grzegorz Gołaszewski, Tomasz Szumlak, Szymon Lukasik – Applications Track

29- Reproducibility and Case sensitivity of LLMs for Anonymizing Depressed Tweets – Sameen Mansha, Hamza Mahmood, Anne Håkansson, Faisal Kamiran, Vladimir Vlassov – Special Session: From Theory to Practice: Special Session on Large Language and Foundation Models

28- HyperNeRFGAN: Camera-Free 3D Scene Generation via Hypernetwork-Driven Neural Radiance Fields – Adam Kania, Artur Kasymov, Jakub Kościukiewicz, Artur Górak, Marcin Mazur, Maciej Zieba, Przemysław Spurek – Research Track

20- Improving the End to End Purchasing process in Indirect Procurement – Rama Reddy – Industry Track

16- An Event Study Framework for Analyzing Bidirectional Causality Between House Prices and Premium Café Entry – Sachin Date – Applications Track

9- Every Tweet Counts? Sentiment Analysis of Public Response on X toward Indonesias Free Nutritious Meal Program – Revalda Putawara, Zakiatul Wildani, Nur Mazhariya Ulmi, Ayu Mutia, Merysa, Rezky Aulia Yusuf – Applications Track

8- Probabilistic Forecasting Cryptocurrencies Volatility: From Point to Quantile Forecasts – Grzegorz Dudek, Witold Orzeszko, Piotr Fiszeder – Applications Track