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16th ICAART 2024: Rome, Italy - Volume 2
- Ana Paula Rocha, Luc Steels, H. Jaap van den Herik:
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, ICAART 2024, Volume 2, Rome, Italy, February 24-26, 2024. SCITEPRESS 2024, ISBN 978-989-758-680-4
Invited Speakers
- Antonio Chella:
Is Artificial Consciousness the Missing Ingredient for Ethical AI? ICAART 2024: 5 - Luis Fernando D'Haro-Enríquez:
Understanding and Improving the Next Generation of Conversational Systems: Trends, Challenges and Future. ICAART 2024: 7 - Pavan Duggal:
The Major Challenges for Cyber Security and AI. ICAART 2024: 9
Artificial Intelligence
- Ciprian Paduraru, Catalina Camelia Patilea, Stefan Iordache:
Deep Reinforcement Learning and Transfer Learning Methods Used in Autonomous Financial Trading Agents. 15-26 - Keisuke Fujii, Kazushi Tsutsui, Atom Scott, Hiroshi Nakahara, Naoya Takeishi, Yoshinobu Kawahara:
Adaptive Action Supervision in Reinforcement Learning from Real-World Multi-Agent Demonstrations. 27-39 - Rebh Soltani, Emna Benmohamed, Hela Ltifi:
Hybrid Quanvolutional Echo State Network for Time Series Prediction. 40-46 - Tai-Che Feng, Sheng-De Wang:
VP-DARTS: Validated Pruning Differentiable Architecture Search. 47-57 - Milo Roucairol, Jérôme Arjonilla, Abdallah Saffidine, Tristan Cazenave:
Lazy Nested Monte Carlo Search for Coalition Structure Generation. 58-67 - Po-Min Chuang, Kiyoaki Shirai, Natthawut Kertkeidkachorn:
Identification of Opinion and Ground in Customer Review Using Heterogeneous Datasets. 68-78 - Mattias Wahde, Minerva Suvanto
, Marco L. Della Vedova:
A Challenging Data Set for Evaluating Part-of-Speech Taggers. 79-86 - Piotr Januszewski, Dominik Grzegorzek, Pawel Czarnul:
Dataset Characteristics and Their Impact on Offline Policy Learning of Contextual Multi-Armed Bandits. 87-98 - Jonas Stein, Navid Roshani, Maximilian Zorn, Philipp Altmann, Michael Kölle, Claudia Linnhoff-Popien:
Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly. 99-109 - Basile Tousside, Jörg Frochte
CNNs Sparsification and Expansion for Continual Learning. 110-120 - Valentijn Braun, Debarati Bhaumik, Diptish Dey:
Metrics for Popularity Bias in Dynamic Recommender Systems. 121-134 - Jan Sobotka
Investigation into the Training Dynamics of Learned Optimizers. 135-146 - Levente Tempfli, Csanád Sándor:
HierNet: Image Recognition with Hierarchical Convolutional Networks. 147-155 - Marie Niederlaender
Garment Returns Prediction for AI-Based Processing and Waste Reduction in E-Commerce. 156-164 - Chandramani Chaudhary, Nirmal Kumar Boran, N. Sangeeth, Virendra Singh:
GNNDLD: Graph Neural Network with Directional Label Distribution. 165-176 - Jonas Stein, Daniëlle Schuman, Magdalena Benkard
Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection. 177-185 - Yining Yuan, Kevin McAreavey, Shujun Li, Weiru Liu
Multi-Granular Evaluation of Diverse Counterfactual Explanations. 186-197 - Jiyao Li, Vicki H. Allan:
Multiple Agents Dispatch via Batch Synchronous Actor Critic in Autonomous Mobility on Demand Systems. 198-209 - Robin Stöhr, Shuai Wang
Knowledge Modelling, Strategy Designing, and Agent Engineering for Reconnaissance Blind Chess. 210-221 - Nicolás A. Reyes-Reyes, Marcela C. González-Araya
Fingerprint Large Classification Using Sequential Learning on Parallel Environment. 222-230 - Ameni Kallel
DRL4HFC: Deep Reinforcement Learning for Container-Based Scheduling in Hybrid Fog/Cloud System. 231-242 - Yuki Saito, Shusaku Egami, Yuichi Sei
An Analysis of Knowledge Representation for Anime Recommendation Using Graph Neural Networks. 243-252 - Luke Hunsberger, Roberto Posenato
Foundations of Dispatchability for Simple Temporal Networks with Uncertainty. 253-263 - 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. 264-275 - 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. 276-287 - 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. 288-300 - Sirvan Parasteh, Samira Sadaoui:
A Probabilistic Approach for Detecting Real Concept Drift. 301-311 - Abdelouadoud Kerarmi, Assia Kamal Idrissi, Amal El Fallah Seghrouchni:
Optimization of Fuzzy Rule Induction Based on Decision Tree and Truth Table: A Case Study of Multi-Class Fault Diagnosis. 312-323 - 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. 324-335 - Sara Kebir, Karim Tabia:
On Handling Concept Drift, Calibration and Explainability in Non-Stationary Environments and Resources Limited Contexts. 336-346 - Ali Ballout
Scalable Prediction of Atomic Candidate OWL Class Axioms Using a Vector-Space Dimension Reduced Approach. 347-357 - Fernando Fradique Duarte, Nuno Lau, Artur Pereira, Luís Paulo Reis:
Dynamically Choosing the Number of Heads in Multi-Head Attention. 358-367 - Wided Souid Miled, Sana Chtourou
Embryo Development Stage Onset Detection by Time Lapse Monitoring Based on Deep Learning. 368-375 - Juraj Vladika
Diversifying Knowledge Enhancement of Biomedical Language Models Using Adapter Modules and Knowledge Graphs. 376-387 - Michel Spils, Sven Tomforde:
An Optimised Ensemble Approach for Multivariate Multi-Step Forecasts Using the Example of Flood Levels. 388-396 - Sarbani Palit, Payel Sadhukhan:
Parameter-Free Undersampling for Multi-Label Data. 397-406 - Johannes Schneider:
Efficient and Flexible Topic Modeling Using Pretrained Embeddings and Bag of Sentences. 407-418 - Johannes Schneider, Michalis Vlachos:
A Survey of Deep Learning: From Activations to Transformers. 419-430 - Zinuo You, Zijian Shi, Hongbo Bo, John Cartlidge
DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction. 431-442 - Francesco Mercaldo, Luca Brunese, Mario Cesarelli, Fabio Martinelli, Antonella Santone:
Spiral Drawing Test and Explainable Convolutional Neural Networks for Parkinson's Disease Detection. 443-452 - Hendrik Roth, Carsten Lanquillon
ALISE: An Automated Literature Screening Engine for Research. 453-461 - Greg Lee, Aishwarya Vaishali Sathyamurthi, Mark Hobbs:
Predicting Major Donor Prospects Using Machine Learning. 462-470 - Gabriel Lins Tenório, Weria Khaksar, Wouter Caarls:
Depth-Enhanced 3D Deep Learning for Strawberry Detection and Widest Region Identification in Polytunnels. 471-481 - Jakob Nazarenus
Learning Occlusions in Robotic Systems: How to Prevent Robots from Hiding Themselves. 482-492 - Caren Al Anaissy, Sandeep Suntwal, Mihai Surdeanu, Srdjan Vesic:
On Learning Bipolar Gradual Argumentation Semantics with Neural Networks. 493-499 - Christodoulos Ioannou, Loizos Michael:
A Coachable Parser of Natural Language Advice. 500-510 - Sakher Khalil Alqaaidi, Elika Bozorgi, Krzysztof J. Kochut:
Multiple Relations Classification Using Imbalanced Predictions Adaptation. 511-519 - Xuan-Nam Cao
EAPC: Emotion and Audio Prior Control Framework for the Emotional and Temporal Talking Face Generation. 520-530 - Arti Jha, Pratyut Sharma, Ritik Upmanyu, Yashvardhan Sharma, Kamlesh Tiwari:
Machine Learning-Based Optimization of E-Commerce Advertising Campaigns. 531-541 - Lucas Ferro Zampar, Clay Palmeira da Silva:
I-AM-Bird: A Deep Learning Approach to Detect Amazonian Bird Species in Residential Environments. 542-548 - Adrian Gheorghiu, Iulian-Marius Taiatu, Dumitru-Clementin Cercel, Iuliana Marin, Florin Pop:
Evaluating Data Augmentation Techniques for Coffee Leaf Disease Classification. 549-560 - 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. 561-572 - 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. 573-582 - Emna Guermazi, Afef Mdhaffar, Mohamed Jmaiel, Bernd Freisleben:
LIDL4Oliv: A Lightweight Incremental Deep Learning Model for Classifying Olive Diseases in Images. 583-594 - Lotfi Souifi, Nesrine Khabou, Ismael Bouassida Rodriguez, Ahmed Hadj Kacem:
Towards the Use of AI-Based Tools for Systematic Literature Review. 595-603 - Amen Ben Hadj Ali, Samir Ben Ahmed:
A Unified Conceptual Framework Integrating UML and RL for Efficient Reconfiguration Design. 604-613 - Samuel Sells, Jie Zhang:
Hybrid Mechanistic Neural Network Modelling of the Degree of Cure of Polymer Composite. 614-621 - Christophe Hurter, Augustin Degas, Arnaud Guibert, Maelan Poyer, Nicolas Durand, Alexandre Veyrie, Ana Ferreira, Nicola Cavagnetto, Stefano Bonelli, Mobyen Uddin Ahmed, Waleed Jmoona
Examining Decision-Making in Air Traffic Control: Enhancing Transparency and Decision Support Through Machine Learning, Explanation, and Visualization: A Case Study. 622-634 - Luis Henrique Herbets de Sousa, Guilherme Trajano, Analúcia Schiaffino Morales
Using Chatbot Technologies to Support Argumentation. 635-645 - Maurice Langner, Ralf Klabunde:
Spread and (Mis)use of Evaluative Expressions in Human Written and LLM-Based Generated Text. 646-654
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