- Greg Lee, Aishwarya Vaishali Sathyamurthi, Mark Hobbs:
Predicting Major Donor Prospects Using Machine Learning. ICAART (2) 2024: 462-470 - Jiyao Li, Vicki H. Allan:
Multiple Agents Dispatch via Batch Synchronous Actor Critic in Autonomous Mobility on Demand Systems. ICAART (2) 2024: 198-209 - 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: 443-452 - Wided Souid Miled, Sana Chtourou, Nozha Chakroun, Khadija Kacem Berjeb:
Embryo Development Stage Onset Detection by Time Lapse Monitoring Based on Deep Learning. ICAART (2) 2024: 368-375 - 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: 482-492 - Marie Niederlaender, Aena Nuzhat Lodi, Soeren Gry, Rajarshi Biswas, Dirk Werth:
Garment Returns Prediction for AI-Based Processing and Waste Reduction in E-Commerce. ICAART (2) 2024: 156-164 - Ciprian Paduraru, Catalina Camelia Patilea, Stefan Iordache:
Deep Reinforcement Learning and Transfer Learning Methods Used in Autonomous Financial Trading Agents. ICAART (2) 2024: 15-26 - Sarbani Palit, Payel Sadhukhan:
Parameter-Free Undersampling for Multi-Label Data. ICAART (2) 2024: 397-406 - Sirvan Parasteh, Samira Sadaoui:
A Probabilistic Approach for Detecting Real Concept Drift. ICAART (2) 2024: 301-311 - Nicolás A. Reyes-Reyes, Marcela C. González-Araya, Wladimir E. Soto-Silva:
Fingerprint Large Classification Using Sequential Learning on Parallel Environment. ICAART (2) 2024: 222-230 - Hendrik Roth, Carsten Lanquillon:
ALISE: An Automated Literature Screening Engine for Research. ICAART (2) 2024: 453-461 - Milo Roucairol, Jérôme Arjonilla, Abdallah Saffidine, Tristan Cazenave:
Lazy Nested Monte Carlo Search for Coalition Structure Generation. ICAART (2) 2024: 58-67 - 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: 243-252 - Samuel Sells, Jie Zhang:
Hybrid Mechanistic Neural Network Modelling of the Degree of Cure of Polymer Composite. ICAART (2) 2024: 614-621 - 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: 573-582 - Jan Sobotka, Petr Simánek, Daniel Vasata:
Investigation into the Training Dynamics of Learned Optimizers. ICAART (2) 2024: 135-146 - Rebh Soltani, Emna Benmohamed, Hela Ltifi:
Hybrid Quanvolutional Echo State Network for Time Series Prediction. ICAART (2) 2024: 40-46 - Lotfi Souifi, Nesrine Khabou, Ismael Bouassida Rodriguez, Ahmed Hadj Kacem:
Towards the Use of AI-Based Tools for Systematic Literature Review. ICAART (2) 2024: 595-603 - Luis Henrique Herbets de Sousa, Guilherme Trajano, Analúcia Schiaffino Morales, Stefan Sarkadi, Alison R. Panisson:
Using Chatbot Technologies to Support Argumentation. ICAART (2) 2024: 635-645 - Michel Spils, Sven Tomforde:
An Optimised Ensemble Approach for Multivariate Multi-Step Forecasts Using the Example of Flood Levels. ICAART (2) 2024: 388-396 - Robin Stöhr, Shuai Wang, Zhisheng Huang:
Knowledge Modelling, Strategy Designing, and Agent Engineering for Reconnaissance Blind Chess. ICAART (2) 2024: 210-221 - 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: 264-275 - Levente Tempfli, Csanád Sándor:
HierNet: Image Recognition with Hierarchical Convolutional Networks. ICAART (2) 2024: 147-155 - Gabriel Lins Tenório, Weria Khaksar, Wouter Caarls:
Depth-Enhanced 3D Deep Learning for Strawberry Detection and Widest Region Identification in Polytunnels. ICAART (2) 2024: 471-481 - Basile Tousside, Jörg Frochte, Tobias Meisen:
CNNs Sparsification and Expansion for Continual Learning. ICAART (2) 2024: 110-120 - Juraj Vladika, Alexander Fichtl, Florian Matthes:
Diversifying Knowledge Enhancement of Biomedical Language Models Using Adapter Modules and Knowledge Graphs. ICAART (2) 2024: 376-387 - Mattias Wahde, Minerva Suvanto, Marco L. Della Vedova:
A Challenging Data Set for Evaluating Part-of-Speech Taggers. ICAART (2) 2024: 79-86 - 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: 431-442 - Yining Yuan, Kevin McAreavey, Shujun Li, Weiru Liu:
Multi-Granular Evaluation of Diverse Counterfactual Explanations. ICAART (2) 2024: 186-197 - Lucas Ferro Zampar, Clay Palmeira da Silva:
I-AM-Bird: A Deep Learning Approach to Detect Amazonian Bird Species in Residential Environments. ICAART (2) 2024: 542-548