Ahmed E. Samy, Zekarias T. Kefato and Sarunas Girdzijauskas,
Leap: Inductive Link Prediction via Learnable Topology Augmentation
Yavar Taheri Yeganeh, Mohsen Jafari and Andrea Matta,
Active Inference Meeting Energy-Efficient Control of Parallel and Identical Machines
Evan Crothers, Herna Viktor and Nathalie Japkowicz,
Robust Infidelity: When Faithfulness Measures on Masked Language Models Are Misleading
Matthias Schwab, Markus Haltmeier and Agnes Mayr,
Deep Gaussian mixture model for unsupervised image segmentation
Jean-Luc Blais-Amyot, Farzan Soleymani, Eric Paquet and Herna Lydia Viktor,
Protein Sequence Generation using Denoising Probabilistic Diffusion Model
Christofer Fellicious, Stewart Sentanoe, Jelena Mitrovi, Hans P. Reiser and Michael Granitzer,
PointerKex: A Pointer-based SSH Key Extraction method
Zehao Liu and Huizhi Liang,
Cross-Metapath based Hashing for Recommendation Systems
Pedro Strecht, João Mendes Moreira and Carlos Soares,
Estimating Completeness of Consensus Models: Geometrical and Distributional Approaches
Alessandro Guazzo, Enrico Longato, Isotta Trescato, Erica Tavazzi, Adriano Chiò, Umberto Manera, Grazia Zocco, Paola Cavalla, Marco Vercellino, Lara Ahmad, Eleonora Tavazzi, Roberto Bergamaschi, Rema Padman and Barbara Di Camillo,
Predicting Multiple Sclerosis Worsening Using Stratification-Based and Time-Dependent Variables Extracted from Routine Visits Data
Vangjush Komini and Sarunas Girdzijauskas,
Integrating Logit Space Embeddings for Reliable Out-of-Distribution Detection
Sahib Julka, Ahmad Zubair and Michael Granitzer,
Leveraging Graph Networks and Generative Adversarial Networks for Controllable Trajectory Prediction
Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello and Simone Calderara,
An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning
Nihal Acharya Adde, Hanno Gottschalk and Andreas Ebert,
Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learning
Vincenzo Miracula, Giovanni Giuffrida and Francesco Mazzeo Rinaldi,
Predicting University Dropout Rates Using Machine Learning: UniCt case
Hubert Bottesch, Christoph Angermann, Christian Laubichler, Constantin Kiesling and Markus Haltmeier,
ENGinnSAND: A Reference Dataset for Monocular Depth Prediction of Line Structures
Marco Reggiannini, Michela Martinelli, Oscar Papini, Lorenzo Zacchetti, Filippo Domenichetti and Gabriele Pieri,
Machine Learning for the Evaluation of the Nephrops Norvegicus Population
Maqsood Hussain Shah, Yue Ding, Shaoshu Zhu, Yingqi Gu and Mingming Liu,
Optimal Design and Implementation of an Open-source Emulation Platform for User-Centric Shared E-mobility Services
Gianluca Bontempi,
Between accurate prediction and poor decision making: the AI/ML gap
Qixuan Zhao, Lila Bossard, Alireza Ghasemi and Ahmed Saif,
Deep Learning Neural Network and Generative Adversarial Networks for Human Activity Recognition Based on Ambient Sensors
Birgit Kirsch, Xiang Yu, Nilesh Chakraborty, Niclas Doll, Sven Giesselbach and Stefan Rüping,
SKIE-SRL: Structured Key Information Extraction from Business Documents using Statistical Relational Learning
Jiří Novák, Peter Chudý and Jiří Hanák,
Weight-varying Model Predictive Control for Coupled Cyber-Physical Systems: Aerial Grasping Study
Vanni Zavarella, Diego Reforgiato Recupero, Sergio Consoli and Gianni Fenu,
Exploring Digital Health Trends in the Headlines via Knowledge Graph Analysis
Sathish Purushothaman, Julian Stier and Michael Granitzer,
MCGRAN: Multi-Conditional Graph Generation for Neural Architecture Search
Marica Magagnini, Renato De Leone and Emilio Carrizosa,
Nearest Neighbors Counterfactuals
Willem Feijen, Koen Dekker and Stefan van Zwam,
Learn to Create Neighborhoods in Real-World Vehicle Routing Problem
Johannes Leveling, Lennard Helmer, Benny Stein, Dennis Wegener, Zoha Sheikh, Elanton Fernandes and Hammam Abdelwahab,
Evaluation of Document Deduplication Algorithms for Large Text Corpora
Ryan Hodgson, Alexandra Cristea and John Graham,
Enhancing Cluster-Based Topic Models through Parametric Dimensionality Reduction with Transformer Encoders
Eva Anjo, Humberto Rocha and Joana Dias,
Radiotherapy Treatment Planning: An Integrated Optimization and Reinforcement Learning Approach
Nicolò Bellarmino, Alberto Bosio, Riccardo Cantoro, Annachiara Ruospo, Ernesto Sanchez and Giovanni Squillero,
Investigating on Gradient Regularization for Testing Neural Networks
Aurélien Pion and Emmanuel Vazquez,
Gaussian process interpolation with conformal prediction: methods and comparative analysis
Sven Löffler and Petra Hofstedt,
A Constraint-Based Savings Algorithm for the Traveling Salesman Problem
Valerio Bellandi and Stefano Siccardi,
Harnessing Graph Neural Networks for Pattern Classification in Heterogeneous Event Graphs
Cristina Molero-Río and Claudia D’Ambrosio,
Optimal risk scores for continuous predictors
Xiaochen Chou, Enza Messina and Stein Wallace,
Solving Two-Stage Stochastic Programming problems via Machine Learning
Brian Whelan and Andrea Patanè,
Individual Fairness in Generative Text Models
Gabriele Romano, Sanket Rajeev Sabharwal, Giorgio Gnecco and Antonio Camurri,
A Computational Framework for Identifying Salient Moments in Motion Capture Data
Nicolay Rusnachenko and Huizhi Liang,
Personality Profiling for Literary Character Dialogue Agents with Human Level Attributes
Saeid Rezaei and Kenneth N. Brown,
Generative reward machine for Reinforcement learning for Physical Internet Distribution Centre
Gideon Mbiydzenyuy and Håkan Sundell,
Pattern detection in abnormal district heating data
Sally Ismail, Margarita Anastassova, Mehdi Boukallel, Christian Bolzmacher and Mehdi Ammi,
Using embeddings of pre-trained models for cross-database dysarthria detection: supervised vs. self-supervised approach
Jaunė Malūkaitė, Jolita Bernatavičienė and Povilas Treigys,
Enhancing Arrhythmia Detection Using an Ensemble of Transformer Models for Heartbeat Classification
Barıs Bayram, Alaeddin Türkmen, Aye Dilara Türkmen and Merve Karademir,
Address Classification in E-commerce Logistics Using Federated Learning
Hanieh Khorashadizadeh, Jinghua Groppe, Jessica Lueckert, Sanju Tiwari and Sven Groppe,
Assessing the Impact of Government Policies on Covid-19 Spread: A Machine Learning Approach
Iulia Igescu,
Hicks Traverse meets One-Factor SVM: Belief Incoherence Attractors
Ayah Barhrhouj, Bouchra Ananou and Mustapha Ouladsine,
Exploring Explainable Machine Learning for Enhanced Ship Performance Monitoring
Lys Sanz Moreta, Ibel Carri, Heli M. Garcia Alvarez and Morten Nielsen,
Vegvisir: Probabilistic model (VAE) for viral T-cell epitope prediction
Christophe Guyeux, Christophe Sola and David Laiymany,
Leveraging LLM-powered Systems to Accelerate Mycobacterium tuberculosis Research Step One: From Documents to the Vectorstore
Nhat Thanh Tran, Jack Xin and Guofa Zhou,
FWin transformer for dengue prediction under climate and ocean influence
Martti Lehto,
Artificial Intelligence and Cyber Security
Cristinca Fulga,
Advances in modeling and managing risk in closed-loop supply chains
Benny Stein and Dennis Wegener,
Building a generative AI showroom for foundation models with different modalities
Tarek Salhi and John Woodward,
Beyond Iterative Tuning: Zero-Shot Hyperparameter Optimisation for Decision Trees (ONLINE)
Yuchou Chang, Russell Thompson and Christopher Hixenbaugh,
Tiny Long-Short Term Memory Model for Resource-Constrained Prediction of Battery Cycle Life (ONLINE)
Ang Li, Peter Stuckey, Sven Koenig and T. K. Satish Kumar,
Rapidly Computing Approximate Graph Convex Hulls via FastMap (ONLINE)
Mohamed Allam, Noureddine Boujnah, Noel O’Connor and Mingming Liu,
Synthetic Time Series for Anomaly Detection in Cloud Microservices (ONLINE)
Emir Yalçın, Kerem Kaıkçı, Remziye Güne, Melih Güven, Murat Kora, Barıs Akgün and Mehmet Gönen,
Identifying Potential Key Point-of-Sale Customers Using Network Centrality (ONLINE)
Maria Tsiftsoglou, Magdalene Marinaki and Yannis Marinakis,
Addressing The Permutation Flowshop Scheduling with Grey Wolf Optimizer (ONLINE)
Bui Tien Duc, Trung Phan, Khiem Huynh, Nam Tran Ba, Nhi Le Truc, Nghiem Pham, Ngan Nguyen Thi Kim, Bang Le and Son Ha Xuan,
Clarifying the Fog: Evaluating and Enhancing User Comprehension of Android Data Safety Documents (ONLINE)
Adil Khan, Omar Galarraga, Sonia Garcia-Salicetti and Vincent Vigneron,
Post-Treatment Gait Prediction after Botulinum Toxin Injections Using Deep Learning with an Attention Mechanism (ONLINE)
Stanislav Selitskiy,
Compact Artificial Neural Network Models for Predicting Protein Residue – RNA Base Binding (ONLINE)
Margarita Zaleshina and Alexander Zaleshin,
Topological Layering of Mouse Brain Activity in Light-Sheet Microscopy Datasets (ONLINE)
Jiye Li, Imadeddine Aziez, Raphaël Boudreault and Daniel Lafond,
Augmented Human-AI Forecasting for Ship Refit Project Scheduling: A Predict-then-Optimize Approach (ONLINE)
