ESANN 2024 - Proceedings

Inhoud

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Informed Machine Learning for Complex Data

Informed Machine Learning for Complex Data
L. Oneto, N. Navarin, A. Micheli, L. Pasa, C. Gallicchio, D. Bacciu, D. Anguita

Informed Machine Learning: Excess Risk and Generalization
L. Oneto, D. Anguita, S. Ridella

Enhancing Echo State Networks with Gradient-based Explainability Methods
F. Spinnato, A. Cossu, R. Guidotti, A. Ceni, C. Gallicchio, D. Bacciu

Generalizing Convolution to Point Clouds
D. Bacciu, F. Landolfi

Towards the application of Backpropagation-Free Graph Convolutional Networks on Huge Datasets
N. Navarin, L. Pasa, A. Sperduti

Continual Learning with Graph Reservoirs: Preliminary experiments in graph classification
D. Tortorella, A. Micheli 

XAI and Bias of Deep Graph Networks
M. Fontanesi, A. Micheli, M. Podda 

Machine learning in distributed, federated and non-stationery environments

Machine learning in distributed, federated and non-stationary environments – recent trends
M. Polato, B. Hammer, F.-M. Schleif

Sparse Uncertainty-Informed Sampling from Federated Streaming Data
M. Röder, F.-M. Schleif 

On the Fine Structure of Drifting Features
F. Hinder, V. Vaquet, B. Hammer 

FedHP: Federated Learning with Hyperspherical Prototypical Regularization
S. Fonio, M. Polato, R. Esposito

Few-shot similarity learning for motion classification via electromyography
R. Liu, B. Paassen 

About Vector Quantization and its Privacy in Federated Learning
R. Schubert, T. Villmann 

Federated Time Series Classification with ROCKET features
B. Casella, M. Jakobs, M. Aldinucci, S. Buschjäger

Federated Learning in a Semi-Supervised Environment for Earth Observation Data
B. Casella, A. B. Chisari, M. Aldinucci, S. Battiato, M. V. Giuffrida

Continual Improvement of Deep Neural Networks in The Age of Big Data

Continual Learning of Deep Neural Networks in The Age of Big Data
A. Gepperth, T. Lesort

Sequential Continual Pre-Training for Neural Machine Translation
N. Dalla Noce, M. Resta, D. Bacciu 

Towards Deep Continual Workspace Monitoring: Performance Evaluation of CL Strategies for Object Detection in Working Sites
A. Celik, O. Urhan, A. Cossu, V. Lomonaco

Optimization

Joint Entropy Search for Multi-objective Bayesian Optimization with Constraints and Multiple Fidelities
D. Fernández-Sánchez, D. Hernández-Lobato

Convergence analysis of an inexact gradient method on smooth convex functions
P. Vernimmen, F. Glineur

ADLER - An efficient Hessian-based strategy for adaptive learning rate
D. Balboni, D. Bacciu 

Classification and regression

Automatic Miscalibration Diagnosis: Interpreting Probability Integral Transform (PIT) Histograms
O. Podsztavek, A. I. Jordan, P. Tvrdík, K. L. Polsterer

Feature Learning using Multi-view Kernel Partial Least Squares
X. Zeng, Q. Tao, J. Suykens

Stable Diffusion Dataset Generation for Downstream Classification Tasks
E. Lomurno, M. D'Oria, M. Matteucci

Extrapolating Venusian Atmospheric Profiles using MAGMA Gaussian Processes
S. Lejoly, A. Piccialli, A. Mahieux, A. C. Vandaele, B. Frénay

Antagonism between Classification and Reconstruction Processes in Deep Predictive Coding Networks
J. Rathjens, L. Wiskott 

Constraints as Alternative Learning Objective in Deep Learning
Q. Van Baelen, P. Karsmakers

CNNGen: A Generator and a Dataset for Energy-Aware Neural Architecture Search
A. Gratia, H. Liu, S. Satoh, P. Temple, P.-Y. Schobbens, G. Perrouin

Adversarial Training without Hard Labels
A. Al-Najjar, I. Megyeri, M. Jelasity

Learning Kernel Parameters for Support Vector Classification Using Similarity Embeddings
A. P. Braga, M. Menezes, L. Torres

Causes of Rejects in Prototype-based Classification Aleatoric vs. Epistemic Uncertainty
J. Brinkrolf, V. Vaquet, F. Hinder, B. Hammer 

''Mental Images'' driven classification
G. Coda, M. De Gregorio, A. Sorgente, P. Vanacore

Transfer learning to minimize the predictive risk in clinical research
S. Branders, J. Paul, A. Ooghe, A. Pereira

Leveraging performance-based metadata for designing multi-objective NAS strategies for efficient models in Earth Observation.
E. Demir, R. Traoré, A. Camero

AI-based algorithm for intrusion detection on a real dataset
D. Esteban Martínez, B. Guijarro-Berdiñas, A. Alonso Betanzos, E. Hernández-Pereira, A. Esteban Martínez 

Similarity-Based Zero-Shot Domain Adaptation for Wearables
M. Vieth, N. Grimmelsmann, A. Schneider, B. Hammer

Robustness and Regularization in Hierarchical Re-Basin
B. Franke, F. Heinrich, M. Lange, A. Raulf 

Lightweight Cross-Modal Representation Learning
B. Faye, H. Azzag, M. Lebbah, D. Bouchaffra

Human Activity Recognition from Thigh and Wrist Accelerometry
A. Castellanos Alonso, A. López, D. Garcia-Perez, D. Álvarez, J. C. Alvarez 

On Fβ-score and Cost-Consistency in Evaluation of Imbalanced Classification
A. Avela

Decision fusion based multimodal hierarchical method for speech emotion recognition from audio and text
N. Alqurashi, Y. Li, K. Sidorov, D. Marshall 

Trust in Artificial Intelligence: Beyond Interpretability

Trust in Artificial Intelligence: Beyond Interpretability
T. Bouadi, B. Frénay, L. Galárraga, P. Geurts, B. Hammer, G. Perrouin

Interpreting Hybrid AI through Autodecoded Latent Space Entities
R. Veen, C. Hadjichristodoulou, M. Biehl 

ProtoNCD: Prototypical Parts for Interpretable Novel Class Discovery
T. Michalski, D. Rymarczyk, D. Barczyk, B. Zieliński 

Evaluating the Quality of Saliency Maps for Distilled Convolutional Neural Networks
J. Wilfling, M. Valdenegro-Toro, M. Zullich

Safety-Oriented Pruning and Interpretation of Reinforcement Learning Policies
D. Gross, H. Spieker

Evaluation methodology for disentangled uncertainty quantification on regression models
K. Pasini, C. Arlotti, M. Leyli Abadi, M. Nabhan, J. Baro 

Influence of Data Characteristics on Machine Learning Classification
Performance and Stability of SHapley Additive exPlanations
A. Ihalapathirana, G. Chandra, P. Lavikainen, P. Siirtola, S. Tamminen, N. Talukder, J. Martikainen, J. Röning

Insight-SNE: Understanding t-SNE Embeddings through Interactive Explanation
S. Corbugy, T. Septon, B. Dumas, B. Frénay

Does a Reduced Fine-Tuning Surface Impact the Stability of the Explanations of LLMs?
J. Bogaert, F.-X. Standaert

Nonlinear dimensionality reduction and unsupervised learning

Positive and Scale Invariant Gaussian Process Latent Variable Model for
Astronomical Spectra
N. Gianniotis, K. L. Polsterer, I. I. Cortés Pérez

Forget early exaggeration in t-SNE: early hierarchization preserves global structure
J. Lee, E. Couplet, P. Lambert, L. Journaux, D. Mulders, C. de Bodt,
M. Verleysen 

Estimated neighbour sets and smoothed sampled global interactions are sufficient for a fast approximate tSNE.
P. Lambert, E. Couplet, C. de Bodt, J. Lee

Hyperbolic Metabolite-Disease Association Prediction
D. Pogány, P. Antal 

Interactive Machine Learning-Powered Dashboard for Energy Analytics in Residential Buildings
D. Garcia-Perez, I. Diaz-Blanco, J. M. Enguita-Gonzalez, J. Menéndez, A. A. Cuadrado-Vega 

Exploring Self-Organizing Maps for Addressing Semantic Impairments
J. Graneri, S. Basterrech, G. Rubino, E. Mizraji 

HDBSCAN for 3-rd order tensor
D. F. Andriantsiory, J. Ben Geloun, M. Lebbah 

Graph learning

Large-Scale Continuous Structure Learning from Time-Series Data
F. Michelis, R. Massidda, D. Bacciu 

Noise Robust One-Class Intrusion Detection on Dynamic Graphs
A. Liuliakov, A. Schulz, L. Hermes, B. Hammer

SAT Instances Generation Using Graph Variational Autoencoders
D. Crowley, M. Dalla, B. O'Sullivan, A. Visentin 

Dual Stream Graph Transformer Fusion Networks for Enhanced Brain Decoding
L. Goené, S. Mehrkanoon

Link prediction heuristics for temporal graph benchmark
M. Dileo, M. Zignani 

Inductive lateral movement detection in enterprise computer networks
C. Larroche

T-WinG: Windowing for Temporal Knowledge Graph Completion
N.-T. Nguyen, T. Vu, T. Le 

Exploring Temporal Knowledge Graphs with Compositional Interactions and Diachronic Mechanisms
L. Tran, B. Le, T. Le 

Domain Knowledge Integration in Machine Learning Systems

Domain Knowledge Integration in Machine Learning Systems - An Introduction
M. Kaden, S. Saralajew, T. Villmann

Tumor Grading via Decorrelated Sparse Survival Regression
B. Paassen, N. Gaisa, M. Rose, M.-S. Bösherz

Physics-Aware Normalizing Flows: Leveraging Electric Circuit Models in Adversarial Learning
B. Schindler, T. Schmid

Leveraging Physics-Informed Neural Networks as Solar Wind Forecasting Models
N. Costa, F. S. Barros, J. J. G. Lima, R. F. Pinto, A. Restivo

Online learning and concept drift

Self-Supervised Learning from Gradually Drifting Data Streams
V. Vaquet, J. Vaquet, F. Hinder, K. Malialis, C. Panayiotou, M. Polycarpou, B. Hammer

On-line Learning Dynamics in Layered Neural Networks with Arbitrary
Activation Functions
F. Richert, O. Citton, M. Biehl

Online Adaptation of Compressed Models by Pre-Training and Task-Relevant Pruning
T. Avé, M. Hutsebaut-Buysse, W. Wei, K. Mets

Deep Temporal Consensus Clustering for Patient Stratification in Amyotrophic Lateral Sclerosis
M. Pego Roque, A. S. Martins, M. Gromicho, M. de Carvalho, S. C. Madeira, P. Tomás, H. Aidos 

Trustworthiness Score for Echo State Networks by Analysis of the Reservoir Dynamics
J. M. Enguita-Gonzalez, D. Garcia-Perez, A. A. Cuadrado-Vega, D. García-Peña, J. R. Rodríguez-Ossorio, I. Diaz-Blanco 

Invariant Representation Learning for Generalizable Imitation
M. Jabri, P. Papadakis, E. Abbasnejad, G. Coppin, J. Shi

Unsupervised Drift Detection Using Quadtree Spatial Mapping
B. A. Ramos, C. Leite de Castro, T. A. Coelho, P. Angelov 
Time series, recurrent and reinforcement learning

LSTM encoder-decoder model for contextualized time series forecasting applied to the simulation of a digital patient's physiological variables
J. Paris, C. Sinoquet, F. Taia-Alaoui, C. Lejus-Bourdeau

Reservoir Memory Networks
C. Gallicchio, A. Ceni 

Why long model-based rollouts are no reason for bad Q-value estimates
P. Wissmann, D. Hein, S. Udluft, V. Tresp

Recurrent Neural Network based Counter Automata
S. Leal, L. Lago

Multidimensional CDTW-based features for Parkinson's Disease classification
F. Attal, N. Khoury, Y. Amirat

Vision Language Models as Policy Learners in Reinforcement Learning Environments
G. Bonetta, D. Zago, R. Cancelliere, M. Polato, B. Magnini

Predicting the Closing Cross Auction Results at the NASDAQ Stock Exchange
S. Cohen, M. Hettich, P. Bielefeld, C. Schomers, T. Friedrich

A Deep Double Q-Learning as a SDLS support in solving LABS problem
D. Żurek 

Enhanced Deep Reinforcement Learning based Group Recommendation System with Multi-head Attention for Varied Group Sizes
S. Izadkhah, B. Rekabdar 

Aeronautic data analysis

Aeronautic data analysis
J. Lacaille, P. Fabiani, P. Besson 

From Data to Simulation: Capturing Aircraft Engine Degradation Dynamics
A. Madane, F. Forest, H. Azzag, M. Lebbah, J. Lacaille

A Kalman Filter and Neural Network Hybrid Approach for Health Monitoring of Aircraft Engines
S. Thépaut, S. Razakarivony, D. Q. Vu, A. Bauny

Towards Contrail Mitigation through Robustand Frugal AI-Driven Data Exploitation
D. Di Giusto, G. Boussu, S. Alix, C. Reverdy, M. Riou, T. Petrisor

Modern Machine Learning Methods for robust and real-time Brain-Computer Interfaces (BCI)

Machine Learning Methods for BCI: challenges, pitfalls and promises
J. A. Riascos, M. Molinas, F. Lotte

Exploring High- and Low-Density Electroencephalography for a Dream
Decoding Brain-Computer Interface
M. Packiyanathan, A. Torvestad, M. Molinas, L. A. Moctezuma Pascual 

Deep Riemannian Neural Architectures for Domain Adaptation in Burst
cVEP-based Brain Computer Interface
S. Velut, S. Chevallier, M.-C. Corsi, F. Dehais

EEG Source Imaging Enhances Motor Imagery Classification
A. Soler, V. Naas, A. Giri, M. Molinas
Unveiling Dreams: Moving Towards Automatic Dream Decoding via qualitative EEG Analysis and Machine Learning
A. Torvestad, M. Packiyanathan, L. A. Moctezuma Pascual, M. Molinas

Towards calibration-free online EEG motor imagery decoding using Deep Learning
M. Wimpff, J. Zerfowski, B. Yang

Geometric Deep Learning to Enhance Imbalanced Domain Adaptation in EEG
S. Li, M. Kawanabe, R. Kobler

Language models

LLaMA Tunes CMA-ES
O. Kramer

A Two-Stage Approach for Implicit Bias Detection in Generative Language Models
J. Edwards, R. Hu, A. Lendasse, A. Schlager, P. Lindner

Fine-Tuning Llama 2 Large Language Models for Detecting Online Sexual
Predatory Chats and Abusive Texts
T. T. Nguyen, C. Wilson, J. Dalins

Towards Explainable Evolution Strategies with Large Language Models
J. Baumann, O. Kramer

Embodying Language Models in Robot Action
C. Gäde, O. Özdemir, C. Weber, S. Wermter

Large Language Models as Tuning Agents of Metaheuristics
A. Martinek, S. Łukasik, A. H. Gandomi

ChatDT: Simplifying Constraint Integration in Decision Trees
A. P. Chokki, B. Frénay

Image processing and computer vision

From Three to Two Dimensions: 2D Quaternion Convolutions for 3D Images
V. Delchevalerie, B. Frénay, A. Mayer

Visualizing and Improving 3D Mesh Segmentation with DeepView
A. Mazur, I. Roberts, D. Leins, A. Schulz, B. Hammer

Clarity: a Deep Ensemble for Visual Counterfactual Explanations
C. Theobald, F. Pennerath, B. Conan-Guez, M. Couceiro, A. Napoli 

An Efficient Neural Architecture Search Model for Medical Image Classification
L. Xie, E. Lomurno, M. Gambella, D. Ardagna, M. Roveri, M. Matteucci, Q. Shi 

Leveraging endoscopic data with Contrastive Learning for Crohn's disease detection
R. Ghyselinck, J. Fink, B. Dumas, B. Frénay

Unpaired Image-to-Image Translation to Improve Log End Identification
D. Björnberg, M. Ericsson, W. Löwe, J. Nordqvist 

Investigating the Gestalt Principle of Closure in Deep Convolutional Neural Networks
Y. Zhang, D. Soydaner, F. Behrad, L. Koßmann, J. Wagemans

Influence of image encoders and image features transformations in emergent communication
B. Vanderplaetse, S. Dupont, X. Siebert

SDE U-Net: Disentangling Aleatoric and Epistemic Uncertainties in Medical Image Segmentation
C. Zhang, A. M. Barragan Montero, J. Lee

Generation of Simulated Dataset of Computed Tomography Images of Eggs and Extraction of Measurements Using Deep Learning
J. P. B. López Vargas, D. Duarte de Paula, D. Salvadeo, E. Bergamim Júnior

AI-based Collimation Optimization for X-Ray Imaging using Time-of-Flight Cameras
D. Mairhöfer, M. Laufer, L. Berkel, A. Bischof, E. Barth, J. Barkhausen, T. Martinetz 

On the Stability of Neural Segmentation in Radiology
M. Wolter, L. Veeramacheneni, B. Baeßler, U. I. Attenberger, B. D. Wichtmann 

Analysis of DNA methylation patterns in cancer samples using SOM
I. Diaz-Blanco, J. M. Enguita-Gonzalez, D. Garcia-Perez, A. A. Cuadrado-Vega, N. Valdes-Gallego, M. D. Chiara-Romero 

Graph-cut-assisted CNN training for pulmonary embolism segmentation
N. Yang, R. Verschuren, C. De Vleeschouwer 

Reconstruction of Mammography Projections using Image-to-Image Translation Techniques

J. Cristo Santos, M. Seoane Santos, P. Henriques Abreu 

Author index

Committees 

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