Program

11:45 – 12:00 Bram De Cooman, Johan Suykens and Andreas Ortseifen. Enforcing hard state-dependent action bounds on deep reinforcement learning policies (onsite)

12:00 – 12:15 Eugenio Lomurno and Matteo Matteucci. On the utility and protection of optimization with differential privacy and classic regularization techniques (onsite)

12:15 – 12:30 Meyssa Zouambi, Julie Jacques and Clarisse Dhaenens. LS-PON: a Prediction-based Local Search for Neural Architecture Search (onsite)

12:30 – 12:45 Junzheng Wu, Eric Paquet, Herna Viktor and Wojtek Michalowski. Adapting to Complexity: Deep Learnable Architecture for Protein-protein Interaction Predictions (online)

12:45 – 13:00 Weijia Shao and Sahin Albayrak. Adaptive Zeroth-Order Optimisation of Nonconvex Composite Objectives (online)

13:00 – 13:15 Abdul Wahhid, Jiafeng Zhu and Stefano Mauceri. Digital Twin Modelling: Potential Value of Digital Twins and Comparison of the Modelling Languages (online)

11:45 – 12:00 Matthew Hutchings and Bertrand Gauthier. Local optimisation of Nyström samples through stochastic gradient descent (onsite)

12:00 – 12:15 Hông-Lan Botterman, Julien Roussel, Thomas Morzadec, Ali Jabbari and Nicolas Brunel. Robust PCA for Anomaly Detection and Data Imputation in Seasonal Time Series (onsite)

12:15 – 12:30 Andrea Asperti and Marco Del Brutto. MicroRacer: a didactic environment for Deep Reinforcement Learning (onsite)

12:30 – 12:45 Pedro Henrique da Costa Avelar, Roman Laddach, Sophia Karagiannis, Min Wu and Sophia Tsoka. Multi-Omic Data Integration and Feature Selection for Survival-based Patient Stratification via Supervised Concrete Autoencoders (onsite)

12:45 – 13:00 Sabrina Stephanie Göllner, Marina Tropmann-Frick and Boštjan Brumen. Aspects and Views on Responsible Artificial Intelligence (online)

13:00 – 13:15 Wadhah Zai El Amri, Luca Hermes and Malte Schilling. Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent (online)

11:45 – 12:00 Vincent Vigneron and Hichem Maaref. A non-parametric pooling operator capable of texture extraction (online)

12:00 – 12:15 Ross A. J. McLaren, Kehinde Oluwatoyin Babaagba and Zhiyuan Tan. A Generative Adversarial Network Based Approach to Malware Generation Based on Behavioural Graphs (online)

12:15 – 12:30 Pascal Mettes. Hyperbolic Graph Codebooks (online)

12:30 – 12:45 Galina Samigulina and Zarina Samigulina. Biologically inspired unified artificial immune system for industrial equipment diagnostic (online)

12:45 – 13:00 Angelo Impedovo, Emanuele Pio Barracchia and Giuseppe Rizzo. Intelligent Robotic Process Automation for Supplier Document Management on E-Procurement Platforms (online)

13:00 – 13:15 Philip Stahmann and Bodo Rieger. A Benchmark for Real-Time Anomaly Detection Algorithms Applied in Industry 4.0 (online)

14:40 – 14:55 Kanishka Ghosh Dastidar, Wissam Siblini and Michael Granitzer. Expressive and Intuitive Models for Automated Context Representation Learning in Credit-Card Fraud Detection (onsite)

14:55 – 15:10 Daniel Asfaw, Ivan Jordanov, Lawrence Impey, Ana Namburte, Raymond Lee and Antoniya Georgieva. Fetal Heart Rate Classification with Convolutional Neural Networks and the Effect of Gap Imputation on Their Performance (onsite)

15:10 – 15:25 Yasmen Wahba, Nazim Madhavji and John Steinbacher. A Comparison of SVM against Pre-trained Language Models (PLMs) for Text Classification (online)

15:25 – 15:40 Nicoletta Del Buono, Gaetano Settembre, Flavia Esposito, Nicola Corriero and Rosanna Rizzi. Machine learning approaches for predicting Crystal Systems: a brief review and a case study (online)

15:40 – 15:55 Lorenz Wendlinger, Michael Granitzer and Christofer Fellicious. Pooling Graph Convolutional Networks for Structural Performance Prediction (onsite)

15:55 – 16:10 Gabriel Turinici. Algorithms that get old : the case of generative deep neural networks (online)

14:40 – 14:55 Jiye Li, Bruno Kinder Almentero and Camille Besse. Explainable Machine Learning for Drug Shortage Prediction in a Pandemic Setting (onsite)

14:55 – 15:10 Aayush Kumar, Jimiama Mosima Mafeni Mase, Divish Rengasamy, Benjamin Rothwell, Mercedes Torres, David A. Winkler and Grazziela P. Figueredo. EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python (onsite)

15:10 – 15:25 Stanislav Selitskiy and Natalya Selitskaya. Loss Function with Memory for Trustworthiness Threshold Learning: Case of Face and Facial Expression Recognition (onsite)

15:25 – 15:40 Alberto Zurli, Alessia Bertugli and Jacopo Credi. Does catastrophic forgetting negatively affect financial predictions? (online)

15:40 – 15:55 Phat Loi Tang, Thuy-Dung Le Pham and Tien Ba Dinh. Tree-based Credit Card Fraud Detection Using Isolation Forest, Spectral Residual, and Knowledge Graph (online)

15:55 – 16:10 Nicoletta Del Buono, Flavia Esposito, Grazia Gargano, Laura Selicato, Nicolò Taggio, Giulio Ceriola and Daniela Iasillo. Detecting anomalies in marine data: a framework for time series analysis (online)

14:40 – 14:55 Jan Rauch and Petr Máša. Enhanced Association Rules and Python (online)

14:55 – 15:10 Bartłomiej Małkus and Grzegorz Nalepa. Forecasting daily cash flows in a company – shortcoming in the research field and solution exploration (online)

15:10 – 15:25 Anshul Rankawat, Rahul Kumar and Arun Kumar. Deep Recurrent Neural Networks for OYO Hotels Recommendation

15:25 – 15:40 Robin Fuchs, Denys Pommeret and Samuel Stocksieker. MI2AMI: Missing data imputation using Mixed Deep Gaussian Mixture Models (online TBC)

15:40 – 15:55 Emre Atan, Ali Duymaz, Funda Sarısözen, Uğur Aydın, Murat Koraş, Barış Akgün and Mehmet Gönen. Corporate Network Analysis Based on Graph Learning (online)

15:55 – 16:10 Filippo Velardocchia, Guido Perboli and Alessandro Vigliani. Analysis of heavy vehicles rollover with artificial intelligence techniques (online TBC)

16:40 – 16:55 Yuval Meir, Shiri Hodassman, Itamar Ben-Noam, Yael Tugendhaft, Amir Goldental, Roni Vardi and Ido Kanter. Brain-inspired neuronal silencing mechanism to enable high-precision sequence identification (onsite)

16:55 – 17:10 Joshua Böttcher, Tobias Schulte To Brinke, Abigail Morrison and Willem A. M. Wybo. Connectivity patterns that enable working memory in recurrent networks with dendritic subunits (onsite)

17:10 – 17:25 Mia-Katrin Kvalsund, Kyrre Glette and Frank Veenstra. Exploring the Effects of Centralized and Decentralized Control on Morphology and Performance (onsite)

17:25 – 17:40 David Lehký, Lukáš Novák and Drahomír Novák. Surrogate Modeling for Stochastic Assessment of Engineering Structures (onsite)

17:40 – 17:55 Lucia Billeci, Alessandro Tonacci and Maurizio Varanini. A machine learning approach for epileptic seizure prediction (online)

17:55 – 18:10 Angelo Lucia and Korkut Uygun. Monte Carlo Optimization of Liver Machine Perfusion Temperature Policies (online)

16:40 – 16:55 Ruiqi Zhu, Xue Li, Fangrong Wang, Alan Bundy, Jeff Pan, Kwabena Nuamah, Stefano Mauceri and Lei Xu. TREAT: Automated Construction and Maintenance of Probabilistic Knowledge Bases from Logs

16:55 – 17:10 Florian Fiebig, Nikolaos Chrysanthidis, Anders Lansner and Pawel Herman. Synergistic short-term plasticity mechanisms for working memory

17:10 – 17:25 Sergio Lafuente-Arroyo, Saturnino Maldonado-Bascón, Diego Delgado-Mena, Juan Antonio Castro and Roberto Javier López-Sastre. Topological Robot Localization based on Visual Object Detection and Node Classification for indoor navigation (online TBC)

17:25 – 17:40 Kelly Smalenberger and Michael Smalenberger. Batch Bayesian Quadrature with Batch Updating Using Future Uncertainty Sampling

17:40 – 17:55 Xue Li, Alan Bundy, Ruiqi Zhu, Fangrong Wang, Stefano Mauceri, Lei Xu and Jeff Z. Pan. ABC in Root Cause Analysis: Discovering Missing Information and Repairing System Failures

17:55 – 18:10 Nikolaos Kyriakakis, Themistoklis Stamadianos, Magdalene Marinaki, Nikolaos Matsatsinis and Yannis Marinakis. A Bee Colony Optimization Approach for the Electric Vehicle Routing Problem with Drones (onsite)

17:25 – 17:40 José Diogo Marques dos Santos and José Paulo Marques dos Santos. Path Weights Analyzes in a Shallow Neural Network to Reach Explainable Artificial Intelligence (XAI) of fMRI Data (online)

17:40 – 17:55 Davide Borra, Matteo Filippini, Mauro Ursino, Patrizia Fattori and Elisa Magosso. A Bayesian-optimized Convolutional Neural Network to decode reach-to-grasp from macaque dorsomedial visual stream (online)

17:55 – 18:10 Naresh Balaji Ravichandran, Anders Lansner and Pawel Herman. Brain-like combination of feedforward and recurrent network components achieves prototype extraction and robust pattern recognition (online)

17:25 – 17:40 Robert Jungnickel, Johanna Lauwigi, Vladimir Samsonov and Daniel Lütticke. Human-Centric Machine Learning Approach for Injection Mold Designers: Towards Automated Design of Ejector Pin Placement (onsite)

17:40 – 17:55 Jiye Li and Daniel Lafond. Hybrid human-AI forecasting for task duration estimation in ship refit (onsite)

17:55 – 18:10 Silvio Barra, Salvatore Carta, Antonello Meloni, Alessandro Sebastian Podda and Diego Reforgiato Recupero. A Practical Approach for Vehicle Speed Estimation in Smart Cities (online)

17:25 – 17:40 Nadja Vater and Alfio Borzi. Preconditioned Gradient Method for Data Approximation with Shallow Neural Networks (onsite)

17:40 – 17:55 Christofer Fellicious, Lorenz Wendlinger and Michael Granitzer. Neural Network based Drift Detection (onsite)

17:55 – 18:10 Raphael Engelhardt, Moritz Lange, Laurenz Wiskott and Wolfgang Konen. Sample-based Rule Extraction for Explainable Reinforcement Learning (onsite)

18:20 – 18:35 Daniel Taylor, Jonathan Shock, Deshendran Moodley, Jonathan Ipser and Matthias Treder. Brain Structural Saliency Over the Ages (onsite)

18:35 – 18:50 Mirco Milletarì, Sara Malvar, Yagna Oruganti, Leonardo Nunes, Yazeed Alaudah and Anirudh Badam. Source Attribution and Leak Quantification for Methane Emissions (online)

18:50 – 19:05 Dominika Michalkova, Mario Parra and Yashar Moshfeghi. Confidence As Part of Searcher’s Cognitive Context (online)

19:05 – 19:20 Sakrapee Paisalnan, Yashar Moshfeghi and Frank Pollick. Neural Correlates of Satisfaction of an Information Need (online)

19:20 – 19:35 Fabian Schubert and Claudius Gros. Flow control: Local spectral radius regulation (online)

19:35 – 19:50 Kunjira Kingphai and Yashar Moshfeghi. On Time Series Cross-Validation for Deep Learning Classification Model of Mental Workload Levels Based on EEG Signals (onsite)

19:50 – 20:05 Marianna Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava and Kristen Brent Venable. Thinking Fast and Slow in AI: the Role of Metacognition (online)

18:20 – 18:35 Rodica Ioana Lung and Mihai Suciu. A Game Theoretic Flavoured Decision Tree for Classification (onsite)

18:35 – 18:50 Francesca Strydom and Jacomine Grobler. Transformers for COVID-19 Misinformation Detection on Twitter: A South African Case Study (onsite)

18:50 – 19:05 Alessia Bertugli, Stefano Vincenzi, Simone Calderara and Andrea Passerini. Generalising via Meta-Examples for Continual Learning in the Wild (onsite)

19:05 – 19:20 Antonio Macaluso, Filippo Orazi, Matthias Klusch, Stefano Lodi and Claudio Sartori. A Variational Algorithm for Quantum Single Layer Perceptron (online)

19:20 – 19:35 Frederique van Leeuwen, Bas Bosma, Arjan van den Born and Eric Postma. Normalization in motif discovery (online)

19:35 – 19:50 Marco Reggiannini, João Janeiro, Flávio Martins, Oscar Papini and Gabriele Pieri. Mesoscale events classification in SST imagery (online)

19:50 – 20:05 Sung-Eun Jang, Kyeonah Yu and Juntae Kim. Introducing Prototype Nodes in EGNN for Few-Shot Learning (onsite)

18:20 – 18:35 Ana Boskovic and Marco Gross. Helping the Oracle: Vector Sign Constraints in Model Shrinkage Methodologies (onsite)

18:35 – 18:50 Francesco Biancalani, Giorgio Gnecco, Rodolfo Metulini and Massimo Riccaboni. Matrix completion for the prediction of yearly country and industry-level CO_2 emissions (onsite)

18:50 – 19:05 Iulia Igescu. Capturing Self Fulfilling Beliefs in a Rare Event (onsite)

19:05 – 19:20 Fabio Incerti, Falco Joannes Bargagli-Stoffi and Massimo Riccaboni. A Two-Country Study of Default Risk Prediction using Bayesian Machine-Learning (online)

19:20 – 19:35 Philip Stahmann, Maximilian Nebel and Bodo Rieger. A Real-Time Semantic Anomaly Labeler Capturing Local Data Stream Features to Distinguish Anomaly Types in Production (online)

19:35 – 19:50 Yael Tugendhaft, Roni Vardi, Yuval Meir, Shiri Hodassman, Amir Goldental and Ido Kanter. Brain experiments imply adaptation mechanisms which outperform common AI learning algorithms (online)

19:50 – 20:05 Nathan Wiseman. Brain-Computer Interfaces and Interactive Virtual Environments in VR – Recent Applications and Future Prospects (online)

11:45 – 12:00 Costanza Cenerini, Luca Vollero, Giorgio Pennazza, Marco Santonico and Flavio Keller. Audio Visual Association test in non synesthetic subjects: Technological Tailoring of the methods (onsite)

12:00 – 12:15 Karolina Armonaite, Marco Balsi, Livio Conti and Franca Tecchio. How spectral and fractal analyses of neurodynamics reveal the signature of cortical areas in waking and sleeping states: a study of Montreal Neurological Institute intracranial sEEGs (onsite)

12:15 – 12:30 Zuzana Pinkosova, William McGeown and Yashar Moshfeghi. Revisiting Neurological Aspects of Relevance: An EEG Study (onsite)

12:30 – 12:45 Shiri Hodassman, Roni Vardi, Yael Tugendhaft, Amir Goldental and Ido Kanter. Efficient dendritic learning as an alternative to synaptic plasticity hypothesis (online)

12:45 – 13:00 Zenon Lamprou, Frank Pollick and Yashar Moshfeghi. Role of Punctuation in Semantic Mapping between Brain and Transformer Models (online)

13:00 – 13:15 Liu Zhang, Fei Han and Kelin Xia. Topology-based Comparison of Neural Population Responses via Persistent Homology and p-Wasserstein Distance (online)

11:45 – 12:00 Hafez Ghaemi, Erfan Mirzaei, Mahbod Nouri and Saeed Reza Kheradpisheh. BioLCNet: Reward-modulated Locally Connected Spiking Neural Networks (onsite)

12:00 – 12:15 Alessandro Guazzo, Enrico Longato, Gian Paolo Fadini, Mario Luca Morieri, Giovanni Sparacino and Barbara Di Camillo. Explainable Deep-Learning Model Reveals Past Cardiovascular Disease in Patients with Diabetes Using Free-Form Visit Reports (onsite)

12:15 – 12:30 Lukáš Novák, David Lehký and Drahomír Novák. Sensitivity analysis of Engineering Structures Utilizing Artificial Neural Networks and Polynomial Chaos Expansion (onsite)

12:30 – 12:45 Bruno Giovanni Galuzzi, Luca Milazzo and Chiara Damiani. Best practices in flux sampling of constrained-based models (online)

12:45 – 13:00 Marzieh Soleimanpoor, Milad Mokhtaridoost and Mehmet Gönen. A Kernel-Based Multilayer Perceptron Framework to Identify Pathways Related to Cancer Stages (online)

13:00 – 13:15 Yannick Smit, Floris den Hengst, Sandjai Bhulai and Ehsan Mehdad. Strategic Workforce Planning with Deep Reinforcement Learning (online)

11:00 – 11:15 Rema Padman, Daniel Gartner and Yiye Zhang. Physical and Cognitive Workload Reduction in Clinical Information Systems using Optimization and Machine Learning (onsite)

11:15 – 11:30 Yutong Li, Xiaorui Xu and Sophia Tsoka. A Matrix Factorization-based Drug-virus Link Prediction Method for SARS-CoV-2 Drug Prioritization (onsite)

11:30 – 11:45 Rommel Regis. Hyperparameter Tuning of Random Forests Using Radial Basis Function Models (online)

11:45 – 12:00 Luana Bulla, Stefano De Giorgis, Aldo Gangemi, Ludovica Marinucci and Misael Mongiovì. Detection of Morality in Tweets based on the Moral Foundation Theory (online)

12:00 – 12:15 Ernestas Filatovas, Povilas Gudžius, Vytenis Darulis and Olga Kurasova. Convolutional Neural Networks and Neural Architecture Search for Satellite Imagery Analysis (online)

12:15 – 12:30 Hannes Fassold. AdaFamily: A family of Adam-like adaptive gradient methods (online)

12:30 – 12:45 Sanae Lotfi, Tiphaine Bonniot de Ruisselet, Dominique Orban and Andrea Lodi. Adaptive First- and Second-Order Algorithms for Large-Scale Machine (online)

12:45 – 13:00 Jaqueline Alvarenga Silveira, Sérgio Adorno, Marcelo Batista Nery, Germain García, Afonso Paiva and Luis Gustavo Nonato. São Paulo City Homicides and Their Surroundings: from Non-Negative Tensor Factorization to Pattern Identification (online)

13:00 – 13:15 Antonio Mariani, Italo Epicoco, Massimo Cafaro and Marco Pulimeno. Grid-based Contraction Clustering in a Peer-to-Peer Network (online)

13:15 – 13:30 Manuel Berkemeier. A Derivative-Free Trust Region Algorithm with Filter for Non- linear Constraints in Multiobjective Optimization (online)

13:30 Concluding

11:00 – 11:15 João Braz Simões, Ernesto Costa, Rui Travasso and Tiago Baptista. Generating Vascular Networks: a Reinforcement Learning Approach (onsite)

11:15 – 11:30 Chesoong Kim. Modeling and optimization for retrial queuing networks with an arbitrary topology and multi-server nodes (onsite TBC)

11:30 – 11:45 Jörg Martin and Clemens Elster. Aleatoric uncertainty for Errors-in-Variables models in deep regression

11:45 – 12:00 Jayadeep Anil Shitole, Ajinkya More and Karthick Gopalswamy. Prepack Optimization to Fulfil Heterogeneous Demand across a Network of Stores

12:00 – 12:15 Sangeeta Yadav. Data Driven Stabilization Scheme

12:15 – 12:30 Vanya Aziz, Ivo Nowak and Ouyang Wu. Decolearn: A Framework for Decomposition-Based Machine Learning

12:30 – 12:45 Konstantin Heinrich Sonntag and Sebastian Peitz. Accelerated Multiobjective Optimization Algorithms motivated by Inertial Gradient-like Dynamical Systems

12:45 – 13:00 Cristinca Fulga. Stochastic Programming Model for Supply Chains Activities with Integration of Reverse Logistics

13:00 – 13:15 Ashhadul Islam and Samir Belhaouari. Smart Pruning of Deep Neural Networks using curve fitting and evolution of weights

13:15 – 13:30 Kiran Chhatre, Sidney Feygin, Colin Sheppard and Rashid Waraich. Parallel Bayesian Optimization of Agent-based Transportation Simulation