ICAART (3)

Publications

2024

Yasmeen Khaled, Nourhan Ehab
ConEX: A Context-Aware Framework for Enhancing Explanation Systems. ICAART (3) (2024)
Michaela Urbanovská, Antonín Komenda
Explainability Insights to Cellular Simultaneous Recurrent Neural Networks for Classical Planning. ICAART (3) (2024)
Sara Boanca
Exploring Patterns and Assessing the Security of Pseudorandom Number Generators with Machine Learning. ICAART (3) (2024)
Kebin Wu, Wenbin Li, Xiaofei Xiao
AccidentGPT: Large Multi-Modal Foundation Model for Traffic Accident Analysis. ICAART (3) (2024)
Pervaiz Iqbal Khan, Andreas Dengel, Sheraz Ahmed
Medi-CAT: Contrastive Adversarial Training for Medical Image Classification. ICAART (3) (2024)
Georg Kruse, Theodora-Augustina Dragan, Robert Wille, Jeanette Miriam Lorenz
Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments. ICAART (3) (2024)
João Victor Ribeiro Ferro, José Rubens da Silva Brito, Robério José Rogério dos Santos, Roberta Vilhena Vieira Lopes, Evandro de Barros Costa
Boosting GA Performance: A Fuzzy Approach to Uncertainty Issues Involving Parameters in Genetic Algorithms. ICAART (3) (2024)
Guillaume Guarino, Ahmed Samet, Denis Cavallucci
SynCRF: Syntax-Based Conditional Random Field for TRIZ Parameter Minings. ICAART (3) (2024)
Rim Afdhal, Ridha Ejbali, Mourad Zaied
Relevant Facial Key Parts and Feature Points for Emotion Recognition. ICAART (3) (2024)
Roxane Jouseau, Sébastien Salva, Chafik Samir
A Novel Metric for Measuring Data Quality in Classification Applications. ICAART (3) (2024)
Jonas Stein, Tobias Rohe, Francesco Nappi, Julian Hager, David Bucher, Maximilian Zorn, Michael Kölle, Claudia Linnhoff-Popien
Introducing Reduced-Width QNNs, an AI-Inspired Ansatz Design Pattern. ICAART (3) (2024)
Jumana Alsubhi, Abdulrahman Ahmed Gharawi, Lakshmish Ramaswamy
Cost-Aware TrE-ND: Tri-embed Noise Detection for Enhancing Data Quality of Knowledge Graph. ICAART (3) (2024)
Jean-Christophe Ricklin, Ines Ben Amor, Raïd Mansi, Vassilis Christophides, Hajer Baazaoui Zghal
Sales Forecasting for Pricing Strategies Based on Time Series and Learning Techniques. ICAART (3) (2024)
Radu Stefan Mihalache, Dragos Teodor Gavrilut, Anton Dan Gabriel
Real-Time Deep Learning-Based Malware Detection Using Static and Dynamic Features. ICAART (3) (2024)
Rina Azoulay, Tirza Hirst, Shulamit Reches
Academia and Industry Synergy: Addressing Integrity Challenge in Programming Education. ICAART (3) (2024)
Christoph Schmidl, Thiago D. Simão, Nils Jansen
A Supervised Learning Approach to Robust Reinforcement Learning for Job Shop Scheduling. ICAART (3) (2024)
Mukesh Kumar Rohil, Ishan Sharma
FEAT: A Fast, Effective, and Feasible Model for Molecular Property Prediction Based on Graph Neural Network. ICAART (3) (2024)
Maximillian Kirsch, Shubham Pawar, Alexander Ferrein, Stefan Schiffer
GOLOG++ Hits the (Right) Spot: Interfacing Golog with a Quadruped Rescue Robot for High-Level Missions. ICAART (3) (2024)
Emanuele Brugnoli, Pietro Gravino, Donald Ruggiero Lo Sardo, Vittorio Loreto, Giulio Prevedello
Fine-Grained Clustering of Social Media: How Moral Triggers Drive Preferences and Consensus. ICAART (3) (2024)
Alexander K. Seewald, Thomas Wernbacher, Thomas Winter, Mario Platzer, Alexander Pfeiffer
Climate-Friendly Online Shopping Within the Green eCommerce Project: A Fitting Tool to Determine T-Shirt Sizes Using Active Depth Sensing. ICAART (3) (2024)
Melis Zhalalov, Vitaliy Milke
Analysis of Intraday Financial Market Using ML and Neural Networks for GBP/USD Currency Pair Price Forecasting. ICAART (3) (2024)
Yuchen Guo, James Pope
Spatial-Temporal Graph Neural Network for the Detection of Container Escape Events. ICAART (3) (2024)
Aaron Mir, Eduardo Alonso, Esther Mondragón
DiT-Head: High Resolution Talking Head Synthesis Using Diffusion Transformers. ICAART (3) (2024)
Dante de Araújo Costa, Joseana Macêdo Fechine, José Rubens da Silva Brito, João Victor Ribeiro Ferro, Evandro de Barros Costa, Roberta Vilhena Vieira Lopes
A Machine Learning Approach Using Interpretable Models for Predicting Success of NCAA Basketball Players to Reach NBA. ICAART (3) (2024)
Reem Alansary, Nourhan Ehab
Towards Knowledge-Augmented Agents for Efficient and Interpretable Learning in Sequential Decision Problems. ICAART (3) (2024)
Rim Walha, Fadoua Drira, Rania Bedhief
A Multi-Task Learning Framework for Image Restoration Using a Novel Generative Adversarial Network. ICAART (3) (2024)
Mali Imre Gergely
Multi-Agent Deep Reinforcement Learning for Collaborative Task Scheduling. ICAART (3) (2024)
Md Faisal Kabir, Sven Tomforde
A Deep Analysis for Medical Emergency Missing Value Imputation. ICAART (3) (2024)
Dani Manjah, Stéphane Galland, Christophe De Vleeschouwer, Benoît Macq
Autonomous Methods in Multisensor Architecture for Smart Surveillance. ICAART (3) (2024)
Ryota Kubo, Fumito Uwano, Manabu Ohta
Reward Design for Deep Reinforcement Learning Towards Imparting Commonsense Knowledge in Text-Based Scenario. ICAART (3) (2024)
Mazin S. Mohammed, Salah Zrigui, Mounir Zrigui
Oral Diseases Recognition Based on Photographic Images. ICAART (3) (2024)
Horst Stühler, Daniel Pranjic, Christian Tutschku
Evaluating Quantum Support Vector Regression Methods for Price Forecasting Applications. ICAART (3) (2024)
Dupuy Rony Charles, Pascal Pultrini, Andrea Tettamanzi
Outlier Detection in MET Data Using Subspace Outlier Detection Method. ICAART (3) (2024)
Asma Kharrat, Fadoua Drira, Franck Lebourgeois, Bertrand Kerautret
Advancements and Challenges in Continual Learning for Natural Language Processing: Insights and Future Prospects. ICAART (3) (2024)
Ondrej Lukás, Sebastian García
Bridging the Explanation Gap in AI Security: A Task-Driven Approach to XAI Methods Evaluation. ICAART (3) (2024)
Asma Trabelsi, Laurent Werey, Sébastien Warichet, Emmanuel Helbert
Is Noise Reduction Improving Open-Source ASR Transcription Engines Quality? ICAART (3) (2024)
Ala'a Alshubbak, Daniel Görges
Investigation of the Performance of Different Loss Function Types Within Deep Neural Anchor-Free Object Detectors. ICAART (3) (2024)
Arne Koschel, Irina Astrova, Anna Pakosch, Christian Gerner, Christin Schulze, Matthias Tyca
Is Amazon Kinesis Data Analytics Suitable as Core for an Event Processing Network Model? ICAART (3) (2024)
Szymon Olewniczak, Julian Szymanski, Piotr Malak, Robert Komar, Agnieszka Letowska
LSA Is not Dead: Improving Results of Domain-Specific Information Retrieval System Using Stack Overflow Questions Tags. ICAART (3) (2024)
Shunsuke Ueki, Keiki Takadama
Multi-Agent Archive-Based Inverse Reinforcement Learning by Improving Suboptimal Experts. ICAART (3) (2024)
Manel Rodriguez-Soto, Nardine Osman, Carles Sierra, Paula Sánchez Veja, Rocio Cintas Garcia, Cristina Farriols Danes, Montserrat Garcia Retortillo, Silvia Minguez Maso
Towards Value Awareness in the Medical Field. ICAART (3) (2024)
Walid Messaoud, Rim Trabelsi, Adnane Cabani, Fatma Abdelkefi
Conjugate Gradient for Latent Space Manipulation. ICAART (3) (2024)
Anum Afzal, Tao Xiang, Florian Matthes
A Semi-Automatic Light-Weight Approach Towards Data Generation for a Domain-Specific FAQ Chatbot Using Human-in-the-Loop. ICAART (3) (2024)
Guillaume Petiot
Uncertain Formal Concept Analysis for the Study of a Text Corpus. ICAART (3) (2024)
Andrii Shekhovtsov, Wojciech Salabun
Comparing Global and Local Weights in Multi-Criteria Decision-Making: A COMET-Based Approach. ICAART (3) (2024)
Luiz Otavio Botelho Lento, Pedro Patinho, Salvador Abreu
A Logic-Based Model to Reduce IoT Security Risks. ICAART (3) (2024)
Dayan Perera, Jessica Lim, Shuta Gunraku, Wern Han Lim
Cryptocurrency Analysis: Price Prediction of Cryptocurrency Using User Sentiments and Quantitative Data. ICAART (3) (2024)
Yahya Emara, Tristan Weger, Ryan Rubadue, Rishabh Choudhary, Simona Doboli, Ali A. Minai
Inferring Interpretable Semantic Cognitive Maps from Noisy Document Corpora. ICAART (3) (2024)
Fakhreddine Ababsa
Advanced Deep Learning Techniques for Industry 4.0: Application to Mechanical Design and Structural Health Monitoring. ICAART (3) (2024)
Giulio Prevedello, Luis Marcos-Vidal, Emanuele Brugnoli, Pietro Gravino
Notes on Measures for Information Access in Neuroscience and AI Systems. ICAART (3) (2024)