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ORCID16th 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, Tobias Meisen:
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, Petr Simánek, Daniel Vasata:
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, Aena Nuzhat Lodi, Soeren Gry, Rajarshi Biswas, Dirk Werth:
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, 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. 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, Zhisheng Huang:
Knowledge Modelling, Strategy Designing, and Agent Engineering for Reconnaissance Blind Chess. 210-221 - Nicolás A. Reyes-Reyes, Marcela C. González-Araya, Wladimir E. Soto-Silva:
Fingerprint Large Classification Using Sequential Learning on Parallel Environment. 222-230 - Ameni Kallel, Molka Rekik, Mahdi Khemakhem:
DRL4HFC: Deep Reinforcement Learning for Container-Based Scheduling in Hybrid Fog/Cloud System. 231-242 - Yuki Saito, Shusaku Egami, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga:
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, Célia da Costa Pereira, Andrea G. B. Tettamanzi:
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, Nozha Chakroun, Khadija Kacem Berjeb:
Embryo Development Stage Onset Detection by Time Lapse Monitoring Based on Deep Learning. 368-375 - Juraj Vladika, Alexander Fichtl, Florian Matthes:
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, Li Zhang, Yan Ge:
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, Simon Reichhuber, Manuel Amersdorfer, Lukas Elsner, Reinhard Koch, Sven Tomforde, Hossam Abbas:
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, Quoc-Huy Trinh, Quoc-Anh Do-Nguyen, Van-Son Ho, Hoai-Thuong Dang, Minh-Triet Tran:
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, 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. 622-634 - Luis Henrique Herbets de Sousa, Guilherme Trajano, Analúcia Schiaffino Morales, Stefan Sarkadi, Alison R. Panisson:
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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