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ORCID16th ICAART 2024: Rome, Italy - Volume 3
- Ana Paula Rocha, Luc Steels, H. Jaap van den Herik:
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, ICAART 2024, Volume 3, 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
- Chaim Schendowich, Eyal Ben Isaac, Rina Azoulay:
Multiverse: A Deep Learning 4X4 Sudoku Solver. 15-22 - Jirí Svancara, Dor Atzmon, Klaus Strauch, Roland Kaminski, Torsten Schaub:
Which Objective Function is Solved Faster in Multi-Agent Pathfinding? It Depends. 23-33 - Xiongming Dai, Gerald Baumgartner:
Variance Reduction of Resampling for Sequential Monte Carlo. 34-41 - 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. 42-49 - Walid Messaoud, Rim Trabelsi, Adnane Cabani, Fatma Abdelkefi:
Conjugate Gradient for Latent Space Manipulation. 50-57 - Vishal Nandigana:
Artificial Intelligence for Visualization, Processing and Predict of Temperature and Fluid Flow Modeling. 58-62 - Sana Ikli, Ilhem Quénel:
Autonomous Drone Takeoff and Navigation Using Reinforcement Learning. 63-71 - Deepa Kumari:
A Study on Drug Similarity Measures for Predicting Drug-Drug Interactions and Severity Using Machine Learning Techniques. 72-79 - Nawel Slimani, Imen Jdey, Monji Kherallah:
Improvement of Satellite Image Classification Using Attention-Based Vision Transformer. 80-87 - Pedro Fernandes, Cesar Analide, Bruno Fernandes:
Activity Recognition in Smartphones Using Non-Intrusive Sensors. 88-93 - Andreea Alina Ploscar, Anca Ioana Muscalagiu, Eduard Timotei Pauliuc, Adriana Mihaela Coroiu:
Automatic Detection and Classification of Atmospherical Fronts. 94-100 - Mattias Wahde:
Models with Verbally Enunciated Explanations: Towards Safe, Accountable, and Trustworthy Artificial Intelligence. 101-108 - Takumi Fujimoto, Takayuki Ito:
Predicting Emotion Before an Utterance: Replacing Contextual Information with Knowledge-Based Prediction. 109-116 - Adél Bajcsi, Anca Andreica, Camelia Chira:
Significance of Training Images and Feature Extraction in Lesion Classification. 117-124 - Davide Catta, Jean Leneutre, Antonina Mijatovic, Johanna Ulin, Vadim Malvone:
A Formal Verification Approach to Handle Attack Graphs. 125-132 - Asimina Mertzani, Jeremy Pitt:
Requisite Social Influence in Self-Regulated Systems. 133-140 - Roxane Jouseau, Sébastien Salva, Chafik Samir:
A Novel Metric for Measuring Data Quality in Classification Applications. 141-148 - Marco Kemmerling, Anas Abdelrazeq, Robert H. Schmitt:
Solving Job Shop Problems with Neural Monte Carlo Tree Search. 149-158 - Aaron Mir, Eduardo Alonso, Esther Mondragón:
DiT-Head: High Resolution Talking Head Synthesis Using Diffusion Transformers. 159-169 - Abeer Z. Alalmaie, Nazar Waheed, Mohrah Alalyan, Priyadarsi Nanda, Wenjing Jia, Xiangjian He:
Zero Trust for Intrusion Detection System: A Systematic Literature Review. 170-177 - Alexander Hill, Marc Groefsema, Matthia Sabatelli, Raffaella Carloni, Marco Grzegorczyk:
Contextual Online Imitation Learning (COIL): Using Guide Policies in Reinforcement Learning. 178-185 - Sara Boanca:
Exploring Patterns and Assessing the Security of Pseudorandom Number Generators with Machine Learning. 186-193 - Adeem Ali Anwar, Guanfeng Liu, Xuyun Zhang:
Solving Many-Objective Optimization Problems Using Selection Hyper-Heuristics. 194-201 - Naman Agarwal, James Pope:
GenGradAttack: Efficient and Robust Targeted Adversarial Attacks Using Genetic Algorithms and Gradient-Based Fine-Tuning. 202-209 - Dayan Perera, Jessica Lim, Shuta Gunraku, Wern Han Lim:
Cryptocurrency Analysis: Price Prediction of Cryptocurrency Using User Sentiments and Quantitative Data. 210-217 - Guillaume Petiot:
Uncertain Formal Concept Analysis for the Study of a Text Corpus. 218-225 - Radu Stefan Mihalache, Dragos Teodor Gavrilut, Anton Dan Gabriel:
Real-Time Deep Learning-Based Malware Detection Using Static and Dynamic Features. 226-234 - Gayashan Weerasundara, Nisansa de Silva:
A Multi-Stage Approach to Image Consistency in Zero-Shot Character Art Generation for the D&D Domain. 235-242 - Dupuy Rony Charles, Pascal Pultrini, Andrea Tettamanzi:
Outlier Detection in MET Data Using Subspace Outlier Detection Method. 243-250 - Aroua Hedhili, Islem Bouallagui:
Hybrid Approach to Explain BERT Model: Sentiment Analysis Case. 251-259 - Jarod Vanderlynden, Philippe Mathieu, Romain Warlop:
Simulation of Consumers Behavior Facing Discounts and Promotions. 260-267 - Christoph Fünfzig, Roderich Wallrath, Stefan Hubert:
Efficient Batch Assignment for Parallel-Machine Production Scheduling. 268-274 - Amina Amara, Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha:
Joining LDA and Word Embeddings for Covid-19 Topic Modeling on English and Arabic Data. 275-282 - Nada Boudegzdame, Karima Sedki, Rosy Tspora, Jean-Baptiste Lamy:
SMOTE: Are We Learning to Classify or to Detect Synthetic Data? 283-290 - Nada Boudegzdame, Karima Sedki, Rosy Tspora, Jean-Baptiste Lamy:
An Approach for Improving Oversampling by Filtering out Unrealistic Synthetic Data. 291-298 - Maximilian Stäbler, Tobias Müller, Frank Köster, Christoph Schlueter Langdon:
Why an Automated, Scalable and Resilient Service for Semantic Interoperability is Needed. 299-307 - Fatimah Alanazi:
Comparative Analysis of Internal and External Facial Features for Enhanced Deep Fake Detection. 308-314 - Veronika Kurchyna, Stephanie C. Rodermund, Ye Eun Bae, Patrick Mertes, Philipp Flügger, Jan Ole Berndt, Ingo J. Timm:
Seeing Through the Smoke: An Agent Architecture for Representing Health Protection Motivation Under Social Pressure. 315-325 - Yuchen Guo, James Pope:
Spatial-Temporal Graph Neural Network for the Detection of Container Escape Events. 326-333 - Damiano Brunori, Luca Iocchi:
A Delay-Aware DRL-Based Environment for Cooperative Multi-UAV Systems in Multi-Purpose Scenarios. 334-343 - Henrique Soares Rodrigues, Eduardo da Silveira Santiago, Gabriel Monteiro de Castro Xará Wanderley, Laura Oliveira Moraes, Carlos Eduardo de Mello, Reinaldo Viana Alvares, Rodrigo Pereira dos Santos:
Artificial Intelligence Algorithms to Predict College Students' Dropout: A Systematic Mapping Study. 344-351 - Jonas Stein, Michael Poppel, Philip Adamczyk, Ramona Fabry, Zixin Wu, Michael Kölle, Jonas Nüßlein, Daniëlle Schuman, Philipp Altmann, Thomas Ehmer, Vijay Narasimhan, Claudia Linnhoff-Popien:
Benchmarking Quantum Surrogate Models on Scarce and Noisy Data. 352-359 - Mohamed Yassine Landolsi, Lobna Hlaoua, Lotfi Ben Romdhane:
GREED: Graph Learning Based Relation Extraction with Entity and Dependency Relations. 360-367 - Nesrine Triki, Mohamed Karray, Mohamed Ksantini:
New Speed Limit Recognition System: Software and Hardware Validation. 368-375 - Horst Stühler, Daniel Pranjic, Christian Tutschku:
Evaluating Quantum Support Vector Regression Methods for Price Forecasting Applications. 376-384 - Shuaicai Ren, Hiroyuki Nakagawa, Tatsuhiro Tsuchiya:
Harnessing LLM Conversations for Goal Model Generation from User Reviews. 385-392 - Georg Kruse, Theodora-Augustina Dragan, Robert Wille, Jeanette Miriam Lorenz:
Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments. 393-400 - Ala'a Alshubbak, Daniel Görges:
Investigation of the Performance of Different Loss Function Types Within Deep Neural Anchor-Free Object Detectors. 401-411 - Armand Mihai Cismaru:
DeepTraderX: Challenging Conventional Trading Strategies with Deep Learning in Multi-Threaded Market Simulations. 412-421 - Satoru Fujii:
Neural Bradley-Terry Rating: Quantifying Properties from Comparisons. 422-429 - Ioan-Daniel Pop:
Prediction in Pre-University Education System Using Machine Learning Methods. 430-437 - Dennis Gross, Helge Spieker:
Probabilistic Model Checking of Stochastic Reinforcement Learning Policies. 438-445 - 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. 446-453 - Ayaka Sugiura, Takahiro Suzuki, Koya Ihara, Takuto Sakuma, Shohei Kato:
Generating Products Placement in Warehouse Using BLPSO and MIQCPs. 454-461 - Manuel Gil-Martín, Sergio Esteban Romero, Fernando Fernández Martínez, Rubén San Segundo:
A Comprehensive Analysis of Parkinson's Disease Detection Through Inertial Signal Processing. 462-469 - Andrii Shekhovtsov, Wojciech Salabun:
Comparing Global and Local Weights in Multi-Criteria Decision-Making: A COMET-Based Approach. 470-477 - Fatemeh Ebrahimi Khaksefidi, Afsaneh Fatemi, Mohammad Ali Nematbakhsh, Mahsa Abazari Kia:
LACNN: A Deep Learning Model for Persian Question Analysis. ICAART (3) 2024: 478-485 - Mazin S. Mohammed, Salah Zrigui, Mounir Zrigui:
Oral Diseases Recognition Based on Photographic Images. 486-493 - Chaitanya Chakka, Bathini Sai Akash, Aruna Malapati:
Social Implications of OCEAN Personality: An Automated BERT-Based Approach. 494-506 - Kyle Jeffrey Rogers, Hao Yu, Seong-Eun Cho, Nancy Fulda, Jordan Yorgason, Tyler J. Jarvis:
Decoupling the Backward Pass Using Abstracted Gradients. 507-518 - Randa Boukabene, Fatima Benbouzid-Si Tayeb, Narimene Dakiche:
Flattening Based Cuckoo Search Optimization Algorithm for Community Detection in Multiplex Networks. 519-526 - Johannes Bubeck, Janick Greinacher, Yannik A. Langer, Tobias Roth, Carsten Lanquillon:
Towards Developing an Agent-Based Framework for Validating the Trustworthiness of Large Language Models. 527-534 - Fakhreddine Ababsa:
Advanced Deep Learning Techniques for Industry 4.0: Application to Mechanical Design and Structural Health Monitoring. 535-542 - Subhadra Vadlamannati, Ryan Solgi:
Partial Tensorized Transformers for Natural Language Processing. 543-547 - Hassan Jameel Azooz, Khawla Ben Salah, Monji Kherallah, Mohamed Saber Naceur:
A Novel Image Steganography Method Based on Spatial Domain with War Strategy Optimization and Reed Solomon Model. 548-557 - Milo Knell, Sahil Rane, Forrest Bicker, Tiger Che, Alan Wu, George D. Montañez:
From Targets to Rewards: Continuous Target Sets in the Algorithmic Search Framework. 558-567 - Aroua Hedhili, Imen Khelfa:
Agent Based Model for AUTODL Optimisation. 568-575 - Narumi Yoneda, Ryo Hatano, Hiroyuki Nishiyama:
System-Call-Level Dynamic Analysis for Code Translation Candidate Selection. 576-583 - Omar Elrasas, Nourhan Ehab, Yasmin Mansy, Amr El Mougy:
Dynamic Path Planning for Autonomous Vehicles: A Neuro-Symbolic Approach. 584-591 - Michaela Urbanovská, Antonín Komenda:
Explainability Insights to Cellular Simultaneous Recurrent Neural Networks for Classical Planning. 592-599 - Subodh Ingaleshwar, Farid Thasharofi, Mateo Avila Pava, Harshit Vaishya, Yazan Tabak, Jürgen Ernst, Ruben Portas, Wanja Rast, Jörg Melzheimer, Ortwin Aschenborn, Theresa Götz, Stephan Göb:
Wildlife Species Classification on the Edge: A Deep Learning Perspective. 600-608 - Natsumi Baba, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga:
Proposal of a Cosmetic Product Recommendation Method with Review Text that is Predicted to Be Write by Users. 609-616 - Jean-Francois Nies, Syed Tahseen Raza Rizvi, Mohsin Munir, Ludger van Elst, Andreas Dengel:
Knowledge-Aware Object Detection in Traffic Scenes. 617-624 - Emilie Frost, Julia Catharina Heiken, Martin Tröschel, Astrid Nieße:
Detecting and Analyzing Agent Communication Anomalies in Distributed Energy System Control. 625-632 - Ciprian Paduraru, Rares Cristea, Alin Stefanescu:
Adaptive Questionnaire Design Using AI Agents for People Profiling. 633-640 - Shou Ooba, Jun Kawahara, Shin-ichi Minato:
Designing Algorithms for the Shortest Path Reconfiguration Problem Using Decision Diagram Operations. 641-648 - Michael Kölle, Jonas Maurer, Philipp Altmann, Leo Sünkel, Jonas Stein, Claudia Linnhoff-Popien:
Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures. 649-656 - Claudia Ioana Coste:
Using Ensemble Models for Malicious Web Links Detection. 657-664 - Farag H. Alhsnony, Lamia Sellami:
Enhancing Breast Cancer Diagnosis: Automated Segmentation and Detection with YOLOv8. 665-672 - Pervaiz Iqbal Khan, Muhammad Nabeel Asim, Andreas Dengel, Sheraz Ahmed:
A Unique Training Strategy to Enhance Language Models Capabilities for Health Mention Detection from Social Media Content. 673-680 - Dawid Adam Plaskowski, Szymon Skwarek, Dominika Grajewska, Maciej Niemir, Agnieszka Lawrynowicz:
Automating Opinion Extraction from Semi-Structured Webpages: Leveraging Language Models and Instruction Finetuning on Synthetic Data. 681-688 - Hasanien Ali Talib Alothman, Wafa Lejmi, Mohamed Ali Mahjoub:
New Approach Based on Substantial Derivative and LSTM for Online Arabic Handwriting Script Recognition. 689-698 - Yasmeen Khaled, Nourhan Ehab:
ConEX: A Context-Aware Framework for Enhancing Explanation Systems. 699-706 - Eduardo Furtado, Ana Cristina Bicharra Garcia:
A Systematic Literature Review of Artificial Intelligence Applications for Diagnosing Hand Tremor Disorders Through Video Analysis. 707-717 - Martin Rames, Pavel Surynek:
Action Duration Generalization for Exact Multi-Agent Collective Construction. 718-725 - Amina Turki, Sirine Ammar, Mohamed Karray, Mohamed Ksantini:
Facial Expression-Based Drowsiness Detection System for Driver Safety Using Deep Learning Techniques. 726-733 - Melis Zhalalov, Vitaliy Milke:
Analysis of Intraday Financial Market Using ML and Neural Networks for GBP/USD Currency Pair Price Forecasting. 734-741 - Yahya Emara, Tristan Weger, Ryan Rubadue, Rishabh Choudhary, Simona Doboli, Ali A. Minai:
Inferring Interpretable Semantic Cognitive Maps from Noisy Document Corpora. 742-749 - 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. 750-757 - 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. 758-765 - Safia Rabaaoui, Hela Hachicha, Ezzeddine Zagrouba:
Mobile Agents-Based Framework for Dynamic Resource Allocation in Cloud Computing. 766-773 - Maria Rigaki, Ondrej Lukás, Carlos Adrián Catania, Sebastian García:
Out of the Cage: How Stochastic Parrots Win in Cyber Security Environments. 774-781 - Sebastian-Vasile Echim, Iulian-Marius Taiatu, Dumitru-Clementin Cercel, Florin Pop:
Explainability-Driven Leaf Disease Classification Using Adversarial Training and Knowledge Distillation. 782-791 - Anthony Blomme, Daniel Le Berre, Anne Parrain, Olivier Roussel:
Compressing UNSAT CDCL Trees with Caching. 792-799 - Abibat A. Lasisi, Ramoni O. Lasisi:
Characterization of Normal and Abnormal Activities in a Cyber Operation Environment. ICAART (3) 2024: 800-806 - Phillip Schneider, Manuel Klettner, Kristiina Jokinen, Elena Simperl, Florian Matthes:
Evaluating Large Language Models in Semantic Parsing for Conversational Question Answering over Knowledge Graphs. 807-814 - Marcelo S. Mattos, Sean W. M. Siqueira, Ana Cristina Bicharra Garcia:
Fair and Equitable Machine Learning Algorithms in Healthcare: A Systematic Mapping. 815-822 - Dani Manjah, Stéphane Galland, Christophe De Vleeschouwer, Benoît Macq:
Autonomous Methods in Multisensor Architecture for Smart Surveillance. 823-831 - Pervaiz Iqbal Khan, Andreas Dengel, Sheraz Ahmed:
Medi-CAT: Contrastive Adversarial Training for Medical Image Classification. 832-839 - Abhinav Jagan Polimera, M. M. Prakash Mohan, K. Rajitha:
Performance Assessment of Neural Radiance Fields (NeRF) and Photogrammetry for 3D Reconstruction of Man-Made and Natural Features. 840-847 - Alexandru Ghita, Radu Tudor Ionescu:
Class Anchor Margin Loss for Content-Based Image Retrieval. 848-853 - Thibault Falque, Romain Wallon:
A Toolset for Constraint Programming. 854-861 - Dawid Polap, Antoni Jaszcz:
Heuristic Feedback for Generator Support in Generative Adversarial Network. 862-869 - Aaron Hunter:
A Description Language for Similarity, Belief Change and Trust. 870-877 - Mukesh Kumar Rohil, Ishan Sharma:
FEAT: A Fast, Effective, and Feasible Model for Molecular Property Prediction Based on Graph Neural Network. 878-881 - Hayfa Ben Abdallah, Hamza Gharsellaoui, Sadok Bouamama:
A Novel Partitioning Approach for Real-Time Scheduling of Mixed-Criticality Systems. 882-889 - Guillaume Guarino, Ahmed Samet, Denis Cavallucci:
SynCRF: Syntax-Based Conditional Random Field for TRIZ Parameter Minings. 890-897 - Dennis Gross, Helge Spieker, Arnaud Gotlieb, Ricardo Knoblauch:
Enhancing Manufacturing Quality Prediction Models Through the Integration of Explainability Methods. 898-905 - Cecilia Mariciuc, Madalina Raschip:
Hybrid PSO-Based Rule Classifier for Disease Detection. 906-914 - Sergey Sokolov, Vladimir Sudakov:
Multicriteria Analysis of the Robotic Systems Autonomy Using Fuzzy Calculations. 915-919 - 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. 920-927 - Rim Walha, Fadoua Drira, Rania Bedhief:
A Multi-Task Learning Framework for Image Restoration Using a Novel Generative Adversarial Network. 928-935 - Leo Sünkel, Philipp Altmann, Michael Kölle, Thomas Gabor:
Quantum Federated Learning for Image Classification. 936-942 - Kebin Wu, Wenbin Li, Xiaofei Xiao:
AccidentGPT: Large Multi-Modal Foundation Model for Traffic Accident Analysis. 943-950 - Anamika Jha, Hitoshi Iima:
CT to MRI Image Translation Using CycleGAN: A Deep Learning Approach for Cross-Modality Medical Imaging. 951-957 - Fusun Yaman, Thomas C. Eskridge, Ron Scott, Li Lin, Jeff Miller, Daniel Carpenter:
Nudging Automated Planners with Learned User Preferences. 958-964 - Antoni Jaszcz, Dawid Polap:
Semantic Segmentation for Moon Rock Recognition Using U-Net with Pyramid-Pooling-Based SE Attention Blocks. 965-971 - Mostafa El Hayani:
RLAR: A Reinforcement Learning Abductive Reasoner. 972-979 - Riadh Harizi, Rim Walha, Fadoua Drira:
SIFT-ResNet Synergy for Accurate Scene Word Detection in Complex Scenarios. 980-987 - Athanasios Trantas, Paolo Pileggi:
Digital Twin and Foundation Models: A New Frontier. 988-994 - Josef Baloun, Václav Honzík, Ladislav Lenc, Jirí Martínek, Pavel Král:
Heimatkunde: Dataset for Multi-Modal Historical Document Analysis. 995-1001 - Mohammad Al-Saad, Lakshmish Ramaswamy, Suchendra M. Bhandarkar:
F4D: Factorized 4D Convolutional Neural Network for Efficient Video-Level Representation Learning. 1002-1013 - Reem Alansary, Nourhan Ehab:
Towards Knowledge-Augmented Agents for Efficient and Interpretable Learning in Sequential Decision Problems. 1014-1019 - Jumana Alsubhi, Abdulrahman Ahmed Gharawi, Lakshmish Ramaswamy:
Cost-Aware TrE-ND: Tri-embed Noise Detection for Enhancing Data Quality of Knowledge Graph. 1020-1027 - Jacob Sanderson, Hua Mao, Naruephorn Tengtrairat, Raid Rafi Omar Al-Nima, Wai Lok Woo:
Explainable Deep Semantic Segmentation for Flood Inundation Mapping with Class Activation Mapping Techniques. 1028-1035 - 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? 1036-1043 - Khadija Meghraoui, Teeradaj Racharak, Kenza Ait El Kadi, Saloua Bensiali, Imane Sebari:
A Quantitative Assessment Framework for Modelling and Evaluation Using Representation Learning in Smart Agriculture Ontology. 1044-1051 - Maximillian Kirsch, Shubham Pawar, Alexander Ferrein, Stefan Schiffer:
GOLOG++ Hits the (Right) Spot: Interfacing Golog with a Quadruped Rescue Robot for High-Level Missions. 1052-1059 - 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. 1060-1067 - Isis Bonet, Mario Gongora, Fernando Acevedo, Ivan Ochoa:
Deep Learning Model to Predict the Ripeness of Oil Palm Fruit. 1068-1075 - Mali Imre Gergely:
Multi-Agent Deep Reinforcement Learning for Collaborative Task Scheduling. 1076-1083 - Thomas Seidler, Markus Abel:
Transition of Model Performance in Dependence of the Amount of Data Corruption with Respect to Network Sizes. 1084-1091 - Piotr Artiemjew, Radoslaw Cybulski, Mohammad Hassan Emamian, Andrzej Grzybowski, Andrzej Jankowski, Carla Lanca, Shiva Mehravaran, Marcin Mlynski, Cezary Morawski, Klaus Nordhausen, Olavi Pärssinen, Krzysztof Ropiak:
Predicting Children's Myopia Risk: A Monte Carlo Approach to Compare the Performance of Machine Learning Models. 1092-1099 - Kilho Shin, Chris Liu, Katsuyuki Maeda, Hiroaki Ohshima:
BornFS: Feature Selection with Balanced Relevance and Nuisance and Its Application to Very Large Datasets. 1100-1107 - Hilton Alers-Valentín, Sandiway Fong:
Towards a Biologically-Plausible Computational Model of Human Language Cognition. 1108-1118 - Thibault Falque, Christophe Lecoutre, Bertrand Mazure, Romain Wallon:
Parking Scheduling Optimisation at Paris Charles de Gaulle International Airport. 1119-1126 - 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. 1127-1134 - Rina Azoulay, Tirza Hirst, Shulamit Reches:
Academia and Industry Synergy: Addressing Integrity Challenge in Programming Education. 1135-1143 - Manuel Gil-Martín, Sergio Esteban Romero, Fernando Fernández Martínez, Rubén San Segundo:
Parkinson's Disease Detection Through Inertial Signals and Posture Insights. 1144-1151 - Amir Rafiee, Hugh Breakey, Yong Wu, Abdul Sattar:
Government's Response to Ethical Dilemmas in Autonomous Vehicle Accidents: An Australian Policy Evaluation. 1152-1161 - Alex Lewis, Rina Azoulay, Esther David:
Machine Learning for Predicting Traffic and Determining Road Capacity. 1162-1169 - Sven Löffler, Ilja Becker, Petra Hofstedt:
Enhancing Constraint Optimization Problems with Greedy Search and Clustering: A Focus on the Traveling Salesman Problem. 1170-1178 - Tomasz Jastrzab, Frédéric Lardeux, Éric Monfroy:
Classifying Words with 3-sort Automata. 1179-1188 - Vijay Kumari, Miloni Mittal, Yashvardhan Sharma, Lavika Goel:
FAQ-Based Question Answering Systems with Query-Question and Query-Answer Similarity. 1189-1196 - Luiz Otavio Botelho Lento, Pedro Patinho, Salvador Abreu:
A Logic-Based Model to Reduce IoT Security Risks. 1197-1204 - Raquel Torres De Paiva, Wendy Cataldo, Ana Cristina Bicharra Garcia, Carlos Eduardo de Mello:
Digital Discrimination Detection in Ridesharing Services in Rio de Janeiro City. 1205-1212 - Ryota Kubo, Fumito Uwano, Manabu Ohta:
Reward Design for Deep Reinforcement Learning Towards Imparting Commonsense Knowledge in Text-Based Scenario. 1213-1220 - Asma Trabelsi, Laurent Werey, Sébastien Warichet, Emmanuel Helbert:
Is Noise Reduction Improving Open-Source ASR Transcription Engines Quality? 1221-1228 - Md Faisal Kabir, Sven Tomforde:
A Deep Analysis for Medical Emergency Missing Value Imputation. 1229-1236 - Leila Ben Othman, Parisa Niloofar, Sadok Ben Yahia:
GENERATION: An Efficient Denoising Autoencoders-Based Approach for Amputated Image Reconstruction. 1237-1244 - Hariom Dhungana:
Rule-Based Decision Making in Biologically Inspired Condition Management System. 1245-1254 - Asma Kharrat, Fadoua Drira, Franck Lebourgeois, Bertrand Kerautret:
Advancements and Challenges in Continual Learning for Natural Language Processing: Insights and Future Prospects. 1255-1262 - Lynda Ayachi:
Curvature-Informed Attention Mechanism for Long Short-Term Memory Networks. 1263-1269 - Rim Afdhal, Ridha Ejbali, Mourad Zaied:
Relevant Facial Key Parts and Feature Points for Emotion Recognition. 1270-1277 - Vedant Rathi, Meghana Kshirsagar, Conor Ryan:
Enhancing Portfolio Performance: A Random Forest Approach to Volatility Prediction and Optimization. 1278-1285 - Zina Zammel, Nesrine Khabou, Lotfi Souifi, Ismael Bouassida Rodriguez:
Time Series Prediction Models in Healthcare: Systematic Literature Review. 1286-1293 - Emna Ghorbel, Faouzi Ghorbel:
3D Face Data Augmentation Based on Gravitational Shape Morphing for Intra-Class Richness. 1294-1299 - Daniele Manfredonia, Seiichi Harata, Takuto Sakuma, Francesco Trovò, Shohei Kato:
Prediction of Kellgren-Lawrence Grade of Knee Osteoarthritis by Deep Residual Networks Using MR Image with Segmented Image and Slice Position. 1300-1307 - Gemma Bel Bordes, Alan Perotti:
Auditing Fairness and Explainability in Chest X-Ray Image Classifiers. 1308-1315 - Sune Lundø Sørensen, Lakshadeep Naik, Peter Khiem Duc Tinh Nguyen, Aljaz Kramberger, Leon Bodenhagen, Mikkel Baun Kjærgaard, Norbert Krüger:
Planning Base Poses and Object Grasp Choices for Table-Clearing Tasks Using Dynamic Programming. 1316-1323 - Christoph Schmidl, Thiago D. Simão, Nils Jansen:
A Supervised Learning Approach to Robust Reinforcement Learning for Job Shop Scheduling. 1324-1335 - Yemineni Ashok, Mukesh Kumar Rohil, Kshitij Tandon, Harshil Sethi:
VOEDHgesture: A Multi-Purpose Visual Odometry/ Simultaneous Localization and Mapping and Egocentric Dynamic Hand Gesture Data-Set for Virtual Object Manipulations in Wearable Mixed Reality. 1336-1344 - Mir Riyanul Islam, Mobyen Uddin Ahmed, Shahina Begum:
iXGB: Improving the Interpretability of XGBoost Using Decision Rules and Counterfactuals. 1345-1353 - Hiroshi Hosobe, Ken Satoh:
A Soft Constraint-Based Framework for Ethical Reasoning. 1354-1361 - Shunsuke Ueki, Keiki Takadama:
Multi-Agent Archive-Based Inverse Reinforcement Learning by Improving Suboptimal Experts. 1362-1369 - Ondrej Lukás, Sebastian García:
Bridging the Explanation Gap in AI Security: A Task-Driven Approach to XAI Methods Evaluation. 1370-1377 - Georgios Stathis:
Explainable Large Language Models & iContracts. 1378-1385
Special Session on AI with Awareness Inside
- 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. 1391-1398 - Giulio Antonio Abbo, Serena Marchesi, Kinga Ciupinska, Agnieszka Wykowska, Tony Belpaeme:
Towards a Definition of Awareness for Embodied AI. 1399-1404 - 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. 1405-1412 - Ricardo Sanz, Manuel Rodríguez, Martín Molina, Esther Aguado, Virgilio Gómez:
Towards a Theory of Awareness. 1413-1420 - Andrés Holgado-Sánchez, Holger Billhardt, Sascha Ossowski, Alberto Fernández:
An Ontology for Value Awareness Engineering. 1421-1428 - Giulio Prevedello, Luis Marcos-Vidal, Emanuele Brugnoli, Pietro Gravino:
Notes on Measures for Information Access in Neuroscience and AI Systems. 1429-1435 - Kinga Ciupinska, Serena Marchesi, Giulio Antonio Abbo, Tony Belpaeme, Agnieszka Wykowska:
AwarePrompt: Using Diffusion Models to Create Methods for Measuring Value-Aware AI Architectures. 1436-1443
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