ICAART (2)

Keyphrases

Publications

2024

Arnab Barua, Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, Andrea Giorgi
Second-Order Learning with Grounding Alignment: A Multimodal Reasoning Approach to Handle Unlabelled Data. ICAART (2) (2024)
Hendrik Roth, Carsten Lanquillon
ALISE: An Automated Literature Screening Engine for Research. ICAART (2) (2024)
Michael Kölle, Afrae Ahouzi, Pascal Debus, Robert Müller, Daniëlle Schuman, Claudia Linnhoff-Popien
Towards Efficient Quantum Anomaly Detection: One-Class SVMs Using Variable Subsampling and Randomized Measurements. ICAART (2) (2024)
Ciprian Paduraru, Catalina Camelia Patilea, Stefan Iordache
Deep Reinforcement Learning and Transfer Learning Methods Used in Autonomous Financial Trading Agents. ICAART (2) (2024)
Sirvan Parasteh, Samira Sadaoui
A Probabilistic Approach for Detecting Real Concept Drift. ICAART (2) (2024)
Fatemeh Tavakoli, Kshirasagar Naik, Marzia Zaman, Richard Purcell, Srinivas Sampalli, Abdul Mutakabbir, Chung-Horng Lung, Thambirajah Ravichandran
Big Data Synthesis and Class Imbalance Rectification for Enhanced Forest Fire Classification Modeling. ICAART (2) (2024)
Jonas Stein, Daniëlle Schuman, Magdalena Benkard, Thomas Holger, Wanja Sajko, Michael Kölle, Jonas Nüßlein, Leo Sünkel, Olivier Salomon, Claudia Linnhoff-Popien
Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection. ICAART (2) (2024)
Maurice Langner, Ralf Klabunde
Spread and (Mis)use of Evaluative Expressions in Human Written and LLM-Based Generated Text. ICAART (2) (2024)
Greg Lee, Aishwarya Vaishali Sathyamurthi, Mark Hobbs
Predicting Major Donor Prospects Using Machine Learning. ICAART (2) (2024)
Po-Min Chuang, Kiyoaki Shirai, Natthawut Kertkeidkachorn
Identification of Opinion and Ground in Customer Review Using Heterogeneous Datasets. ICAART (2) (2024)
Caren Al Anaissy, Sandeep Suntwal, Mihai Surdeanu, Srdjan Vesic
On Learning Bipolar Gradual Argumentation Semantics with Neural Networks. ICAART (2) (2024)
Michel Spils, Sven Tomforde
An Optimised Ensemble Approach for Multivariate Multi-Step Forecasts Using the Example of Flood Levels. ICAART (2) (2024)
Gabriel Lins Tenório, Weria Khaksar, Wouter Caarls
Depth-Enhanced 3D Deep Learning for Strawberry Detection and Widest Region Identification in Polytunnels. ICAART (2) (2024)
Jakob Nazarenus, Simon Reichhuber, Manuel Amersdorfer, Lukas Elsner, Reinhard Koch, Sven Tomforde, Hossam Abbas
Learning Occlusions in Robotic Systems: How to Prevent Robots from Hiding Themselves. ICAART (2) (2024)
Adrian Gheorghiu, Iulian-Marius Taiatu, Dumitru-Clementin Cercel, Iuliana Marin, Florin Pop
Evaluating Data Augmentation Techniques for Coffee Leaf Disease Classification. ICAART (2) (2024)
Arti Jha, Pratyut Sharma, Ritik Upmanyu, Yashvardhan Sharma, Kamlesh Tiwari
Machine Learning-Based Optimization of E-Commerce Advertising Campaigns. ICAART (2) (2024)
Piotr Januszewski, Dominik Grzegorzek, Pawel Czarnul
Dataset Characteristics and Their Impact on Offline Policy Learning of Contextual Multi-Armed Bandits. ICAART (2) (2024)
Yuki Saito, Shusaku Egami, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga
An Analysis of Knowledge Representation for Anime Recommendation Using Graph Neural Networks. ICAART (2) (2024)
Keisuke Fujii, Kazushi Tsutsui, Atom Scott, Hiroshi Nakahara, Naoya Takeishi, Yoshinobu Kawahara
Adaptive Action Supervision in Reinforcement Learning from Real-World Multi-Agent Demonstrations. ICAART (2) (2024)
Zinuo You, Zijian Shi, Hongbo Bo, John Cartlidge, Li Zhang, Yan Ge
DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction. ICAART (2) (2024)
Christodoulos Ioannou, Loizos Michael
A Coachable Parser of Natural Language Advice. ICAART (2) (2024)
Luke Hunsberger, Roberto Posenato
Foundations of Dispatchability for Simple Temporal Networks with Uncertainty. ICAART (2) (2024)
Levente Tempfli, Csanád Sándor
HierNet: Image Recognition with Hierarchical Convolutional Networks. ICAART (2) (2024)
Sakher Khalil Alqaaidi, Elika Bozorgi, Krzysztof J. Kochut
Multiple Relations Classification Using Imbalanced Predictions Adaptation. ICAART (2) (2024)
Tai-Che Feng, Sheng-De Wang
VP-DARTS: Validated Pruning Differentiable Architecture Search. ICAART (2) (2024)
Juraj Vladika, Alexander Fichtl, Florian Matthes
Diversifying Knowledge Enhancement of Biomedical Language Models Using Adapter Modules and Knowledge Graphs. ICAART (2) (2024)
Sarbani Palit, Payel Sadhukhan
Parameter-Free Undersampling for Multi-Label Data. ICAART (2) (2024)
Chandramani Chaudhary, Nirmal Kumar Boran, N. Sangeeth, Virendra Singh
GNNDLD: Graph Neural Network with Directional Label Distribution. ICAART (2) (2024)
Rebh Soltani, Emna Benmohamed, Hela Ltifi
Hybrid Quanvolutional Echo State Network for Time Series Prediction. ICAART (2) (2024)
Ali Ballout, Célia da Costa Pereira, Andrea G. B. Tettamanzi
Scalable Prediction of Atomic Candidate OWL Class Axioms Using a Vector-Space Dimension Reduced Approach. ICAART (2) (2024)
Amen Ben Hadj Ali, Samir Ben Ahmed
A Unified Conceptual Framework Integrating UML and RL for Efficient Reconfiguration Design. ICAART (2) (2024)
Lotfi Souifi, Nesrine Khabou, Ismael Bouassida Rodriguez, Ahmed Hadj Kacem
Towards the Use of AI-Based Tools for Systematic Literature Review. ICAART (2) (2024)
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, ICAART 2024, Volume 2, Rome, Italy, February 24-26, 2024. ICAART (2) (2024)
Yining Yuan, Kevin McAreavey, Shujun Li, Weiru Liu
Multi-Granular Evaluation of Diverse Counterfactual Explanations. ICAART (2) (2024)
Emna Guermazi, Afef Mdhaffar, Mohamed Jmaiel, Bernd Freisleben
LIDL4Oliv: A Lightweight Incremental Deep Learning Model for Classifying Olive Diseases in Images. ICAART (2) (2024)
Samuel Sells, Jie Zhang
Hybrid Mechanistic Neural Network Modelling of the Degree of Cure of Polymer Composite. ICAART (2) (2024)
Basile Tousside, Jörg Frochte, Tobias Meisen
CNNs Sparsification and Expansion for Continual Learning. ICAART (2) (2024)
Aarti, Jagat Sesh Challa, Hrishikesh Harsh, Utkarsh Darolia, Mansi Agarwal, Raghav Chaudhary, Navneet Goyal, Poonam Goyal
A Hierarchical Anytime k-NN Classifier for Large-Scale High-Speed Data Streams. ICAART (2) (2024)
Johannes Schneider
Efficient and Flexible Topic Modeling Using Pretrained Embeddings and Bag of Sentences. ICAART (2) (2024)
Ameni Kallel, Molka Rekik, Mahdi Khemakhem
DRL4HFC: Deep Reinforcement Learning for Container-Based Scheduling in Hybrid Fog/Cloud System. ICAART (2) (2024)
Daisy Cristine Albuquerque da Silva, Carlos Eduardo de Mello, Ana Cristina Bicharra Garcia
Analysis of the Effectiveness of Large Language Models in Assessing Argumentative Writing and Generating Feedback. ICAART (2) (2024)
Jan Sobotka, Petr Simánek, Daniel Vasata
Investigation into the Training Dynamics of Learned Optimizers. ICAART (2) (2024)
Edicson Santiago Bonilla Diaz, Enrique Naredo, Nicolas Francisco Mateo Díaz, Douglas Mota Dias, Maria Alejandra Bonilla Diaz, Susan Harnett, Conor Ryan
Neural Architecture Search for Bearing Fault Classification. ICAART (2) (2024)
Christophe Hurter, Augustin Degas, Arnaud Guibert, Maelan Poyer, Nicolas Durand, Alexandre Veyrie, Ana Ferreira, Nicola Cavagnetto, Stefano Bonelli, Mobyen Uddin Ahmed, Waleed Jmoona, Shaibal Barua, Shahina Begum, Giulia Cartocci, Gianluca Di Flumeri, Gianluca Borghini, Fabio Babiloni, Pietro Aricò
Examining Decision-Making in Air Traffic Control: Enhancing Transparency and Decision Support Through Machine Learning, Explanation, and Visualization: A Case Study. ICAART (2) (2024)
Sara Kebir, Karim Tabia
On Handling Concept Drift, Calibration and Explainability in Non-Stationary Environments and Resources Limited Contexts. ICAART (2) (2024)
Nicolás A. Reyes-Reyes, Marcela C. González-Araya, Wladimir E. Soto-Silva
Fingerprint Large Classification Using Sequential Learning on Parallel Environment. ICAART (2) (2024)
Francesco Mercaldo, Luca Brunese, Mario Cesarelli, Fabio Martinelli, Antonella Santone
Spiral Drawing Test and Explainable Convolutional Neural Networks for Parkinson's Disease Detection. ICAART (2) (2024)
Valentijn Braun, Debarati Bhaumik, Diptish Dey
Metrics for Popularity Bias in Dynamic Recommender Systems. ICAART (2) (2024)
Milo Roucairol, Jérôme Arjonilla, Abdallah Saffidine, Tristan Cazenave
Lazy Nested Monte Carlo Search for Coalition Structure Generation. ICAART (2) (2024)
Fernando Fradique Duarte, Nuno Lau, Artur Pereira, Luís Paulo Reis
Dynamically Choosing the Number of Heads in Multi-Head Attention. ICAART (2) (2024)