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ORCID17th ICAART 2025: Porto, Portugal - Volume 3
- Ana Paula Rocha, Luc Steels, H. Jaap van den Herik:
Proceedings of the 17th International Conference on Agents and Artificial Intelligence, ICAART 2025 - Volume 3, Porto, Portugal, February 23-25, 2025. SCITEPRESS 2025, ISBN 978-989-758-737-5
Invited Speakers
- Inge Bryan:
Rethinking our Defensive Strategy. ICAART 2025: 5 - Pavan Duggal:
How India Navigates Between Binding Government Regulation and Self-Regulation. ICAART 2025: 7 - Paul F. Nemitz:
Rules for AI, Governanbility and the Common Interest of States to Create an International Artificial Intelligence Agency. ICAART 2025: 9
Artificial Intelligence
- Andreea Negoitescu
:
Intelligent Human Iris Recognition System Based on Deep Learning Models. 15-23 - Manuel Gil-Martín, Marco Raoul Marini, Iván Martín-Fernández, Sergio Esteban Romero, Luigi Cinque:
Hand Gesture Recognition Using MediaPipe Landmarks and Deep Learning Networks. 24-30 - Insaf Setitra, Domitile Lourdeaux, Louenas Bounia:
Facial Empathy Analysis Through Deep Learning and Computer Vision Techniques in Mixed Reality Environments. 31-39 - István Megyeri, Gergely Pap:
Towards More Robust Transcription Factor Binding Site Classifiers Using Out-of-Distribution Data. 40-47 - Manuel Parmiggiani, Angelo Ferrando, Viviana Mascardi:
Together Is Better! Integrating BDI and RL Agents for Safe Learning and Effective Collaboration. 48-59 - Khizer Syed, Onais Khan Mohammed, John R. Talburt, Adeeba Tarannum, Altaf Mohammed, Mudasar Ali Mir, Mahboob Khan Mohammed:
Improving Quality of Entity Resolution Using a Cascade Approach. 60-69 - Onais Khan Mohammed, Khizer Syed, John R. Talburt, Adeeba Tarannum, Abdul Kareem Khan Kashif, Salman Khan, Najmudin Syed, Syed Yaser Mehdi:
A Pattern-Based Approach to Name and Address Parsing with Active Learning. 70-77 - Federico Heras:
Impact of Extended Clauses on Local Search Solvers for Max-SAT. 78-85 - Thilak Shekhar Shriyan, Janavi Srinivasan, Suhail Ahmed, Richa Sharma, Arti Arya:
SwarmPrompt: Swarm Intelligence-Driven Prompt Optimization Using Large Language Models. 86-93 - George Assaf, Sven Löffler, Petra Hofstedt:
Constraint-Based Optimization for Scheduling Medical Appointments. 94-103 - Rajarshi Biswas, Sourav Dutta, Dirk Werth:
Hallucinations in LLMs and Resolving Them: A Holistic Approach. 104-115 - Mohammad Reza Jabbarpour, Ghaith El-Dalahmeh, Bao Quoc Vo, Ryszard Kowalczyk:
Intelligent Health & Mission Management Architecture for Autonomous and Resilient Distributed Space Systems. 116-123 - Bianca Iacob, Laura Diosan:
Explaining Mammographic Texture: The Role of View and Abnormality Type in Early Cancer Diagnosis. 124-131 - Paul-Dumitru Orasan, Alexandra-Ioana Albu, Gabriela Czibula:
Diff-SySC: An Approach Using Diffusion Models for Semi-Supervised Image Classification. 132-139 - Daiki Koizumi:
On the Prediction of a Nonstationary Geometric Distribution Based on Bayes Decision Theory. 140-149 - Shunsuke Furuta, Hiroyuki Nakagawa, Tatsuhiro Tsuchiya:
Facility Layout Generation Using Hierarchical Reinforcement Learning. 150-157 - Vy Le, Oliver Harold Joegensen, Tin Nguyen, Khang Nguyen Hoang, Ginel Dorleon:
Optimizing Elevator Performance with SARL Multi-Agent Systems: A Distributed Approach for Enhanced Responsiveness and Efficiency. 158-165 - Monah Bou Hatoum, Jean-Claude Charr, Alia Ghaddar, Christophe Guyeux, David Laiymani:
Beyond Equality Matching: Custom Loss Functions for Semantics-Aware ICD-10 Coding. 166-174 - Laure Grisez, Shreshtha Sharma, Paolo Pileggi:
ML-Based Virtual Sensing for Groundwater Monitoring in the Netherlands. 175-184 - Riku Yasutomi, Seiji Yamada, Takashi Onoda:
Examination of Document Clustering Based on Independent Topic Analysis and Word Embeddings. 185-192 - Teodora-Alexandra Toader, Alexandru Manole, Gabriela Czibula:
CAMMA: A Deep Learning-Based Approach for Cascaded Multi-Task Medical Vision Question Answering. 193-200 - Wiktor Baranczyk, Piotr Duch:
Deep Neural Network Based Algorithm for Recognition of Static Signs of Polish Sign Language. 201-208 - Luciano Netto de Lima, Fabio Augusto de Alcantara Andrade, Youcef Djenouri, Carlos Pfeiffer, Marcos Moura:
Optimizing Object Detection for Maritime Search and Rescue: Progressive Fine-Tuning of YOLOv9 with Real and Synthetic Data. ICAART (3) 2025: 209-216 - Chidvilas Karpenahalli Ramakrishna, Adithya Mohan, Zahra Zeinaly, Lenz Belzner:
The Evolution of Criticality in Deep Reinforcement Learning. 217-224 - Abir Loussaief, Raïda Ktari, Yessine Hadj Kacem, Fatma Abdmouleh:
Early Detection of Harmful Algal Blooms Using Majority Voting Classifier: A Case Study of Alexandrium Minutum, Pseudo-Nitzschia Australis and Pseudo-Nitzschia Fraudulenta. 225-232 - Raluca-Diana Chis, Mihai-Adrian Loghin, Cristina Mierla, Horea-Bogdan Muresan, Octav-Cristian Florescu:
Traffic Sign Orientation Estimation from Images Using Deep Learning. 233-240 - Abir Gorrab, Wala Rebhi, Narjès Bellamine Ben Saoud, Henda Hajjami Ben Ghézala:
Multidimensional User Profile Model to Support System Recommendations in Complex Social Networks: Application to Hashtag Recommendations. 241-248 - Bogdan Ichim, Bilal Issa:
Improving Machine Learning Performance in Credit Scoring by Data Analysis and Data Pre-Processing. 249-255 - Wesam A. Ali, Adeem Ali Anwar:
Machine Learning-Driven Monitoring for Early Detection and Management of Prediabetes. 256-263 - Andrii Shekhovtsov, Jean Dezert, Wojciech Salabun:
Enhancing Personalized Decision-Making with the Balanced SPOTIS Algorithm. 264-271 - Andrii Shekhovtsov, Bartlomiej Kizielewicz, Wojciech Salabun:
Towards Enhanced Decision Making: Integrating Weighted Expected Solution Points in Multi-Criteria Analysis. 272-279 - Andrii Shekhovtsov, Amirkia Rafiei Oskooei, Wojciech Salabun:
Comparison of Monolithic and Structural Decision Models Using the Hamming Distance. 280-287 - Adél Bajcsi, Camelia Chira, Annamária Szenkovits:
Evaluating ResNet-Based Self-Explanatory Models for Breast Lesion Classification. 288-295 - Ishaan Kshirsagar, Julian Márquez Simon, Nicolò Schätz, David Fraga Gonzalez, Conor Ryan:
A Vector Autoregression Model for Depicting the Relation Between Labour Market Economic Indicators and Real Wages in the United States Manufacturing Sector. 296-302 - Dhroov V. Bharatia:
QuakeWake: A Novel AI-Based Early Earthquake Warning and Post-Quake Building Safety Guidance System. 303-310 - Arslan Amjad, Agnieszka Szczesna, Monika Blaszczyszyn:
Deep Learning for Frailty Classification Using Raw Inertial Sensor Gait Data. 311-317 - Eleanor 'Nell' Watson:
Beyond Compute: A Weighted Framework for AI Capability Governance. 318-325 - Nam Le, Thanh Le, Bac Le:
Improving Temporal Knowledge Graph Completion via Tensor Decomposition with Relation-Time Context and Multi-Time Perspective. 326-333 - Flaviu-Catalin Florea, Horea-Adrian Grebla, Gilbert-Rainer Gillich, Bogdan Nicusor Bindea, Catalin V. Rusu:
Multiple Crack Detection in Beam-Like Structures Using a Novel Particle Swarm Optimization Approach. 334-342 - Marwa Dorai, Mehrez Abdellaoui, Bouthaina Douh, Ali Douik:
Estimate Reference Evapotranspiration Using Machine Learning Methods. 343-350 - Hongqiao Wang, James Pope:
Double Descent Phenomenon in Liquid Time-Constant Networks, Quantized Neural Networks and Spiking Neural Networks. 351-359 - Latifa Iben Nasr, Abir Masmoudi, Lamia Hadrich Belguith:
Tunisian Dialect Speech Corpus: Construction and Emotion Annotation. 360-367 - Weddou Mohamedhen, Maha Charfeddine, Yessine Hadj Kacem:
Enhanced Credit Card Fraud Detection Using Federated Learning, LSTM Models, and the SMOTE Technique. 368-375 - Marina Soledad Iantorno, Khalil Beladda:
Fuzzy Logic for Cybersecurity: Intrusion Detection and Privacy Preservation with Synthetic Data. 376-382 - Aditya Subash, Insu Song, Ickjai Lee, Kyungmi Lee:
AgeGen Bio Track: Continuous Mouse Behavioral Biometrics-Based Age and Gender Profiling in Online Education Platforms. 383-393 - Azad Shokrollahi, Fredrik Karlsson, Reza Malekian, Jan A. Persson, Arezoo Sarkheyli-Hägele:
Non-Invasive People Counting in Smart Buildings: Employing Machine Learning with Binary PIR Sensors. 394-405 - Thomas Sievers, Nele Russwinkel, Ralf Möller:
Grounding a Social Robot's Understanding of Words with Associations in a Cognitive Architecture. 406-410 - Zoltán-Valentin Gyulai-Nagy:
Proof of Learning Applied to Binary Neural Networks. 411-418 - Jihene Latrech, Zahra Kodia, Nadia Ben Azzouna:
Machine Learning Based Collaborative Filtering Using Jensen-Shannon Divergence for Context-Driven Recommendations. 419-426 - Fatma Abdelhédi, Lama Taha Aljedaani, Amal Abdallah Batheeb, Renad Abdullah Aldahasi:
Brain-Driven Robotic Arm: Prototype Design and Initial Experiments. 427-434 - Bhargava Uppuluri, Anjel Patel, Neil Mehta, Sridhar Kamath, Pratyush Chakraborty:
CuRLA: Curriculum Learning Based Deep Reinforcement Learning for Autonomous Driving. 435-442 - Narumi Yoneda, Ryo Hatano, Hiroyuki Nishiyama:
Kernel-Level Malware Analysis and Behavioral Explanation Using LLMs. 443-450 - Hanen Neji, Mouna Rekik, Lotfi Souifi, Ismael Bouassida Rodriguez:
A Systematic Review of Sustainable Supplier Selection Using Advanced Artificial Intelligence Methods. 451-460 - Ruben Naranjo, Nerea Aranjuelo, Marcos Nieto, Itziar Urbieta, Javier Fernández, Itsaso Rodríguez-Moreno:
Design and Implementation of a Data Model for AI Trustworthiness Assessment in CCAM. 461-471 - Ya Song, Laurens Bliek, Yingqian Zhang:
Revisit the Algorithm Selection Problem for TSP with Spatial Information Enhanced Graph Neural Networks. 472-479 - Sofía Ramos-Pulido, Neil Hernández-Gress, Glen S. Uehara, Andreas Spanias, Héctor Gibrán Ceballos-Cancino:
Implementation of Quantum Machine Learning on Educational Data. 480-487 - Syed Muhammad Abrar Akber, Sadia Nishat Kazmi, Ali Muqtadir, Syed Muhammad Zubair Akber:
ForecastBoost: An Ensemble Learning Model for Road Traffic Forecasting. 488-495 - Vasileios Kochliaridis, Filippos Moumtzidellis, Ioannis P. Vlahavas:
Scaling Multi-Frame Transformers for End-to-End Driving. 496-503 - Lucas B. Germano, Lincoln Q. Vieira, Ronaldo R. Goldschmidt, Julio Cesar Duarte, Ricardo Choren:
Evaluating Biased Synthetic Data Effects on Large Language Model-Based Software Vulnerability Detection. 504-511 - Houssem Turki, Mohamed Elleuch, Monji Kherallah:
A Refined Multilingual Scene Text Detector Based on YOLOv7. 512-519 - Célia da Costa Pereira, Claude Pasquier, Andrea G. B. Tettamanzi:
Propagation-Based Domain-Transferable Gradual Sentiment Analysis. 520-527 - Daiki Shimada, Yuki Miyashita, Toshiharu Sugawara:
Multi-Agent Path Finding Using Provisionally Booking Nodes for Pickup and Delivery Problems. 528-537 - Alisa Barkar, Mathieu Chollet, Matthieu Labeau, Béatrice Biancardi, Chloé Clavel:
Decoding Persuasiveness in Eloquence Competitions: An Investigation into the LLM's Ability to Assess Public Speaking. 538-546 - Dihia Bendjenahi, Chadia Moumeni, Malika Bessedik:
An Efficient Genetic Algorithm for Service Placement in Fog Computing. 547-554 - Antoni Mestre, Franccesco Malafarina, Joan Fons, Manoli Albert, Miriam Gil, Vicente Pelechano:
Sentiment-Enriched AI for Toxic Speech Detection: A Case Study of Political Discourses in the Valencian Parliament. 555-561 - Anil Dogru, Amin Deldari Alamdari, Duru Balpinarli, Reyhan Aydogan:
A Multitier Approach for Dynamic and Partially Observable Multiagent Path-Finding. 562-573 - Jay Orten, Nancy Fulda:
Improving Controlled Text Generation via Neuron-Level Control Codes. 574-581 - Uzoamaka Ezeakunne, Chrisantus Eze, Xiuwen Liu:
Data-Driven Fairness Generalization for Deepfake Detection. 582-591 - Duway Nicolas Lesmes-Leon, Miro Miranda, Maria Caroprese, Gillian Lovell, Andreas Dengel, Sheraz Ahmed:
Synthesizing Annotated Cell Microscopy Images with Generative Adversarial Networks. 592-599 - Nina Hosseini-Kivanani, Inês Oliveira, Sena Kilinç, Luis A. Leiva:
Efficient Automatic Data Augmentation of CDT Images to Support Cognitive Screening. 600-607 - Stephanie C. Fendrich, Philipp Flügger, Annegret Janzso, David Kaub, Stefan Klein, Anna Kravets, Patrick Mertes, Nhat Tran, Jan Ole Berndt, Ingo J. Timm:
GAna: Model Generators and Data Analysts for Streamlined Processing. 608-618 - Duo Wang, Andrea Araldo, Maximilien Chau:
Public Transport Network Design for Equality of Accessibility via Message Passing Neural Networks and Reinforcement Learning. ICAART (3) 2025: 619-630 - David Makiya, João Balsa:
Building a Risk Profile for Detecting Terrorism Financing. 631-638 - Maher O. Al-Khateeb, Ali Douik:
Reptile Search Algorithm Based Feature Selection Approach for Intrusion Detection. 639-645 - Ciprian Paduraru, Petru-Liviu Bouruc, Alin Stefanescu:
Generative AI for Human 3D Body Emotions: A Dataset and Baseline Methods. 646-653 - Lyth Khaled Al-Shbeilat, Anis Mezghani, Monji Kherallah, Faiza Charfi:
Leveraging Machine Learning in American Sign Language Recognition. ICAART (3) 2025: 654-661 - Tobias Rohe, Barbara Böhm, Michael Kölle, Jonas Stein, Robert Müller, Claudia Linnhoff-Popien:
Coconut Palm Tree Counting on Drone Images with Deep Object Detection and Synthetic Training Data. 662-669 - Anuj Kumar, Amit Pandey, Satyadev Ahlawat, Yamuna Prasad:
On Enhancing Code-Mixed Sentiment and Emotion Classification Using FNet and FastFormer. 670-678 - Pruthweesha Airani, Neha Pipada, Pratik Shah:
Classification of Complaints Text Data by Ensembling Large Language Models. 679-686 - Furkan Karadas, Bahaeddin Eravci, Ahmet Murat Özbayoglu:
Multimodal Stock Price Prediction. 687-694 - Maximilian Orlowski, Emilia Knauff, Florian Marquardt:
Towards Personal Assistants for Energy Processes Based on Locally Deployed LLMs. 695-706 - Madalina Dicu, Enol García González, Camelia Chira, José R. Villar:
GenGUI: A Dataset for Automatic Generation of Web User Interfaces Using ChatGPT. 707-714 - Gheorghe Balan, Ciprian-Alin Simion, Dragos Teodor Gavrilut:
Fine Tuning LLMs vs Non-Generative Machine Learning Models: A Comparative Study of Malware Detection. 715-725 - Yusif Imamverdiyev, Amel Hidouri, Tedjani Mesbahi, Ahmed Samet, Christophe Lallement:
LSTM-Based Physics-Informed Neural Network for Lithium-Ion State of Charge Estimation. ICAART (3) 2025: 726-733 - Hatem Majouri, Olfa Gaddour, Yessine Hadj Kacem:
A Hybrid CNN-LSTM Model for Opinion Mining and Classification of Course Reviews. 734-741 - Pedro Arthur P. S. Ortiz, Leandro O. Freitas:
Automated News Scraping and AI-Powered Analysis for Municipal Crime Mapping. 742-749 - Aicha Nouisser, Nouha Khédiri, Monji Kherallah, Faiza Charfi:
ATFSC: Audio-Text Fusion for Sentiment Classification. 750-757 - Lamia Sadeg-Belkacem, Imad Tamelghaghet, Fatima Benbouzid-Si Tayeb:
Enhanced Guided Local Search for Addressing the Graph Burning Problem. 758-765 - Krishnageetha Karuppasamy, Johnson P. Thomas:
Enhanced QTTN Design: Scalable Quantum Circuits for Arbitrary Qubit Counts. 766-773 - Tibério Cerqueira, Pamela Bezerra:
MOTIF: A Framework for Enhancing the Profiling Module of Generative Agents that Simulate Human Behavior. 774-781 - Marwen Ghabi, Sofiane Khalfallah, Hela Ltifi:
Federated Machine Learning Framework for Soil Classification in Smart Agriculture. 782-788 - Weronika Wiechno, Bartosz Bartosik, Piotr Duch:
Time Series and Deep Learning Approaches for Predicting English Premier League Match Outcomes. 789-796 - Alicia Pina-Zapata, Sara García-Rodríguez:
On the Quest for an NLP-Driven Framework for Value-Based Decision-Making in Automatic Agent Architecture. 797-804 - Amal Araoud, Enjie Ghorbel, Faouzi Ghorbel:
Dimensionality Reduction on the SPD Manifold: A Comparative Study of Linear and Non-Linear Methods. 805-812 - Ubongabasi Ebong Etim, Vitaliy Milke, Cristina Luca:
Ensemble of Neural Networks to Forecast Stock Price by Analysis of Three Short Timeframes. 813-820 - Desiree Heim, Christian Jilek, Adrian Ulges, Andreas Dengel:
Investigating the Configurability of LLMs for the Generation of Knowledge Work Datasets. 821-828 - Krisztián Gábrisch, István Megyeri:
Learning to Run a Marathon: Avoid Overfitting to Speed. 829-836 - Keito Miyake, Kumi Ozaki, Akihiro Maehigashi, Seiji Yamada:
Adjusting Doctor's Reliance on AI Through Labeling for Training Data and Modification of AI Output in a Muscle Tissue Detection Task. 837-844 - Wided Moulahi, Tarek Moulahi, Imen Jdey, Salah Zidi:
Federated Learning Harnessed with Differential Privacy for Heart Disease Prediction: Enhancing Privacy and Accuracy. 845-852 - Fabian Schmeisser, Maria Caroprese, Gillian Lovell, Andreas Dengel, Sheraz Ahmed:
How to Box Your Cells: An Introduction to Box Supervision for 2.5D Cell Instance Segmentation and a Study of Applications. 853-860 - Mukesh Kumar Rohil, Trishna Paul:
UIVLP: An Improved User Interface and Visualization Technique to Visualize Learners' Performances. 861-867 - Michal Matak, Jaroslaw A. Chudziak:
GAIus: Combining Genai with Legal Clauses Retrieval for Knowledge-Based Assistant. 868-875 - Dupuy Rony Charles, Pascal Pultrini, Andrea Tettamanzi:
Meta-Ensemble Learning for Multi-Trait Optimization in Maize Breeding: Combining Gradient Boosting, Random Forests, and Deep Learning with SVM Integration. 876-883 - Víctor López, Oscar Fontenla-Romero, Elena Hernández-Pereira, Bertha Guijarro-Berdiñas, Carlos Blanco-Seijo, Samuel Fernández-Paz:
Predicting the State of Health of Supercapacitors Using a Federated Learning Model with Homomorphic Encryption. 884-891 - Rose Azad Khan, Vaishak Belle:
Abnormal Predicates: Learning Categorical Defaults from Probabilistic Rules. 892-900 - Amit Parag, Vaishak Belle:
Tractable Generative Modelling of Cosmological Numerical Simulations. 901-908 - Miguel Ángel Méndez Lucero, Enrique Bojorquez Gallardo, Vaishak Belle:
Semantic Objective Functions: A Distribution-Aware Method for Adding Logical Constraints in Deep Learning. 909-917 - Sergio Esteban Romero, Romeo Lanzino, Marco Raoul Marini, Manuel Gil-Martín:
Towards Multi-View Hand Pose Recognition Using a Fusion of Image Embeddings and Leap 2 Landmarks. 918-925 - Aaron Hunter:
Formal Reasoning About Trusted Third Party Protocols. 926-932 - Nader Belhadj, Mohamed Amine Mezghich, Jaouher Fattahi, Lassaad Latrach:
GNN-MSOrchest: Graph Neural Networks Based Approach for Micro-Services Orchestration - A Simulation Based Design Use Case. 933-939 - Mooad Al-Shalout, Mohamed Elleuch, Ali Douik:
A Leaf Disease Detection Using Machine Learning and Deep Learning: Comparative Study. 940-947 - Devansh Guttikonda, Deepika Indran, Lakshmi Narayanan, Tanishka Pasarad, Sandesh B. J.:
Explainable AI: A Retrieval-Augmented Generation Based Framework for Model Interpretability. 948-955 - Ilche Georgievski:
Occupant Activity Recognition in IoT-Enabled Buildings: A Temporal HTN Planning Approach. 956-966 - Yang Zhang, James Pope:
Application of Large Language Models and ReAct Prompting in Policy Evidence Collection. 967-974 - Kosuke Yano, Yoshinobu Kitamura, Kazuhiro Kuwabara:
Natural Language Interface for Goal-Oriented Knowledge Graphs Using Retrieval-Augmented Generation. 975-982 - Dennis J. N. J. Soemers, Spyridon Samothrakis, Kurt Driessens, Mark H. M. Winands:
Environment Descriptions for Usability and Generalisation in Reinforcement Learning. 983-992 - Kehinde Oloyede, Cristina Luca, Vitaliy Milke:
An Evaluation of ChatGPT's Reliability in Generating Biographical Text Outputs. 993-1000 - Yuki Sakai, Yasuyuki Tahara, Akihiko Ohsuga, Yuichi Sei:
Using LLM-Based Deep Reinforcement Learning Agents to Detect Bugs in Web Applications. 1001-1008 - Alexandru Solomon, Ciprian Paduraru:
Collision Avoidance and Return Manoeuvre Optimisation for Low-Thrust Satellites Using Reinforcement Learning. 1009-1016 - Isidro Jara Matas, Luis de la Fuente Valentín, Alfonso Ortega de la Puente, Javier Sanz-Fayos:
Proposal of a Method for Analyzing the Explainability of Similarity Between Short Texts in Spanish. 1017-1022 - Abir Gorrab, Nourhène Ben Rabah, Isuri Kariyawasam, Bénédicte Le Grand:
Advancing Polycystic Ovary Syndrome Detection with Artificial Intelligence Techniques. 1023-1030 - Harini Anand, Shalini Kammalam Srinivasan, Hasika Venkata Boggarapu, Arti Arya, Richa Sharma:
An Empirical Study Using Machine Learning to Analyze the Relationship Between Musical Audio Features and Psychological Stress. 1031-1039 - Paul Courtin, Jean-Baptiste Fasquel, Mehdi Lhommeau, Axel Grimault:
A Deep Learning Approach to Minimize Retrieval Time in Shuttle-Based Storage Systems. 1040-1047 - Najat Nehme, Danielle Azar, Diana Kutsalo, Jalal Joseph Possik:
Translating Akkadian Transliterations to English with Transfer Learning. 1048-1053 - Dogan Altan, Dusica Marijan, Tetyana Kholodna:
Deep Learning-Based Vessel Traffic Prediction Using Historical Density and Wave Features. 1054-1061 - Fabio Meroni:
Bringing NL Back with P: Defending Linguistic Methods in NLP for Future AI Applications. 1062-1068 - Sourav Dutta, Florian Beier, Dirk Werth:
AI-Based Personalized Multilingual Course Recommender System Using Large Language Models. 1069-1076 - Salah Hammedi, Haythem Chniti:
Combining Petri Nets and AI Techniques to Improve Dynamic Production Scheduling Optimization. 1077-1084 - Meghana Kshirsagar, Mihir Sontakke, Gauri Vaidya, Ahmad Alkhan, Aideen Killeen, Conor Ryan:
Mitigating Algorithmic Bias in Prostate Cancer Risk Stratification with Responsible Artificial Intelligence and Machine Learning. 1085-1092 - Tomohito Minami, Ryohei Orihara, Yasuyuki Tahara, Akihiko Ohsuga, Yuichi Sei:
Punish the Pun-ish: Enhancing Text-to-Pun Generation with Synthetic Data from Supervised Fine-tuned Models. 1093-1100 - Kenzaburo Saito, Yasuyuki Tahara, Akihiko Ohsuga, Yuichi Sei:
Proposal of an Automated Testing Method for GraphQL APIs Using Reinforcement Learning. 1101-1107 - Tomohiro Tanaka, Yasuyuki Tahara, Akihiko Ohsuga, Yuichi Sei:
Fish Catch Prediction by Combining Fishing, Weather and Tidal Data. 1108-1115 - Maciej Niemir, Dominika Grajewska, Bartlomiej Niton:
Vision-Language Models for E-commerce: Detecting Non-Compliant Product Images in Online Catalogs. 1116-1123 - Arwa Bokhari:
Price Drivers in Prediction Markets: An Agent-Based Model of Competing Narratives. 1124-1131 - Mara Hajdu-Macelaru, Rares Chiuzbaian, Petrica C. Pop:
Machine Learning Approaches in the Detection of Amyotrophic Lateral Sclerosis Disease Using Orofacial Gestures. 1132-1139 - Qian Zhang, Dan Johnson, Mark Jensen, Connor Fitzgerald, Daisy Clavijo Ramirez, Mia Y. Wang:
Optimizing Automotive Inventory Management: Harnessing Drones and AI for Precision Solutions. 1140-1145 - Marwa Amara, Nadia Smairi, Mohamed Jaballah:
Stacked Ensemble Deep Learning for Robust Intrusion Detection in IoT Networks. 1146-1153 - Tien Dung Nguyen, Nassim Mokhtari, Alexis Nédélec:
Neural Architecture Search: Tradeoff Between Performance and Efficiency. 1154-1163 - Kenshin Nakanishi, Tomoyuki Maekawa, Michita Imai:
Dialogue Support Through the Identification of Utterances Crucial for the Listener's Interpretation if Missed. 1164-1171 - Jolanta Podolszanska:
Leveraging Deep Q-Network Agents with Dynamic Routing Mechanisms in Convolutional Neural Networks for Enhanced and Reliable Classification of Alzheimer's Disease from MRI Scans. 1172-1179 - Elias Lumer, Vamse Kumar Subbiah, James A. Burke, Pradeep Honaganahalli Basavaraju, Austin Huber:
Toolshed: Scale Tool-Equipped Agents with Advanced RAG-Tool Fusion and Tool Knowledge Bases. 1180-1191 - Norifumi Watanabe, Kota Itoda:
Analysis of Gaze Behavior for Constructing Learning Support Systems of Pass Behavior in First Person Perspective. 1192-1198 - Md Faisal Kabir, Md Majharul Islam Nayem, Sven Tomforde:
Synthetic Data Generation for Emergency Medical Systems: A Systematic Comparison of Tabular GAN Extensions. 1199-1206 - Bilel Elayeb, Myriam Bounhas, Mohamed Firas Ettih:
Morphological Disambiguation of Texts Based on Analogical Proportions. 1207-1214 - Zuzana Neverilová:
Named Entity Discovery and Alignment in Parallel Data. 1215-1220 - Amina El Ganadi, Sania Aftar, Luca Gagliardelli, Federico Ruozzi:
Generative AI for Islamic Texts: The EMAN Framework for Mitigating GPT Hallucinations. 1221-1228 - Safa Jraba, Mohamed Elleuch, Hela Ltifi, Monji Kherallah:
Enhanced YOLOv8 Framework for Early Detection of Alzheimer's Disease Using MRI Scans. 1229-1237 - Jirí Svancara, David Zahrádka, Mrinalini Subramanian, Roman Barták, Miroslav Kulich:
Generating Safe Policies for Multi-Agent Path Finding with Temporal Uncertainty. 1238-1244 - Ruiqi Zhu, Cecilie Christensen, Bahram Zarrin, Per Bækgaard, Tommy Sonne Alstrøm:
Towards Trustworthy AI in Demand Planning: Defining Explainability for Supply Chain Management. 1245-1253 - Dhruv Dhamani, Mary Lou Maher:
Agent-Centric Projection of Prompting Techniques and Implications for Synthetic Training Data for Large Language Models. 1254-1261 - Ying Chen, De Cheng, Zhihui Li, Andy Song:
Top-Push Polynomial Ranking Embedded Dictionary Learning for Enhanced Re-Id. 1262-1269 - Feliks Banka, Jaroslaw A. Chudziak:
Applying Informer for Option Pricing: A Transformer-Based Approach. 1270-1277 - Maram Hasan, Rajdeep Niyogi:
Efficient Multi-Agent Exploration in Area Coverage Under Spatial and Resource Constraints. 1278-1287 - Sandeep Shiraskar, Simon Vellandurai, Dominick Rizk:
Leveraging Capsule Networks for Robust Brain Tumor Classification and Detection in MRI Scans. 1288-1296 - Cecília Botelho, Larissa Schonhofen, Hélida S. Santos, Giancarlo Lucca, Adenauer Corrêa Yamin, Renata Hax Sander Reiser:
Toward a Quantum Fuzzy Approach for Emotion Modeling in Parent-Child Interactivity. 1297-1303 - Dhuha Al-Adhami, Hamza Gharsellaoui, Olfa Belkahla Driss:
A Novel LSB-based Approach for Applications and Information Security. ICAART (3) 2025: 1304-1310 - Xuan-Nam Cao, Minh-Triet Tran:
SPEAR: SPADE-Net and HuBERT for Enhanced Audio-to-Facial Reconstruction. 1311-1318 - Lynda Ayachi, Mohamed Rabia Benarbia:
Image2Life: A Model for 3D Mesh Reconstruction from a Single-Image. 1319-1326 - Quang-Anh Nguyen, Thu-Trang Pham, Thi-Hai-Yen Vuong, Van-Giang Trinh, Ha-Thanh Nguyen:
Detecting Misleading Information with LLMs and Explainable ASP. 1327-1334 - Yuri Façanha Bezerra, Li Weigang:
LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction from Large Contexts. 1335-1342 - Sahar Shah, Davide Ciucci, Sara L. Manzoni, Italo Francesco Zoppis:
Neural Networks Bias Mitigation Through Fuzzy Logic and Saliency Maps. 1343-1351 - Wissem Mbarek, Nesrine Khabou, Lotfi Souifi, Ismael Bouassida Rodriguez:
Time Series Prediction Models for Diabetes: A Systematic Literature Review. 1352-1359 - Anvesha Nayak, Pramathi Vummadi, Apoorva Raj, Nasam Saimani, Suresh Jamadagni:
Predictive Modelling of Agricultural Factors to Maximize Crop Yield. 1360-1367 - Mariem Jendoubi, Dorsaf Hmida, Mohamed Amine Mezghich, Slim Mhiri:
Robust Skin Lesion Segmentation Approach Combining YOLOv8 and Level-Set Techniques. ICAART (3) 2025: 1368-1379 - Zina Zammel, Mouna Rekik, Lotfi Souifi, Ismael Bouassida Rodriguez:
Towards AI-Enabled Model-Driven Architecture: Systematic Literature Review. 1380-1387 - Alejandro Rodríguez-Arias, Noelia Sánchez-Maroño, Bertha Guijarro-Berdiñas:
Communication and Negotiation to Improve Agent-Based Models. 1388-1395 - Daniel Pawlowicz, Jule Weber, Claudia Dukino:
Effectiveness of Whisper's Fine-Tuning for Domain-Specific Use Cases in the Industry. 1396-1403 - Lucas B. Germano, Julio Cesar Duarte:
A Study on Vulnerability Explanation Using Large Language Models. 1404-1411 - Amulya Ratna Dash, Yashvardhan Sharma:
A Collaborative Approach to Multimodal Machine Translation: VLM and LLM. 1412-1418 - Mariam Ibrahim, Milad Ghantous, Nada Sharaf:
Dataset Generation for Egyptian Arabic Sign Language. 1419-1426 - Elia Pacioni, Francisco Fernández de Vega, Davide Calvaresi:
Towards a Meaningful Communication and Model Aggregation in Federated Learning via Genetic Programming. 1427-1431 - Safa Jraba, Mohamed Elleuch, Hela Ltifi, Monji Kherallah:
Comparative Analysis of CNNs and Vision Transformer Models for Brain Tumor Detection. 1432-1439 - Jacob Nielsen, Lukas Galke, Peter Schneider-Kamp:
When Are 1.58 Bits Enough? A Bottom-up Exploration of Quantization-Aware Training with Ternary Weights. 1440-1449 - Gabriel Bicharra Santini Pinto, Carlos Eduardo de Mello, Ana Cristina Bicharra Garcia:
Explainable AI in Labor Market Applications. 1450-1457 - Hilton Alers-Valentín, José D. Maldonado-Torres, J. Fernando Vega-Riveros:
Limitations of Tokenizers for Building a Neuro-Symbolic Lexicon. 1458-1464 - Kelvin Toonen, Thiago D. Simão:
Making Reinforcement Learning Safer via Curriculum Learning. 1465-1472 - Aslam Jlassi, Afef Mdhaffar, Mohamed Jmaiel, Bernd Freisleben:
FedKD4DD: Federated Knowledge Distillation for Depression Detection. 1473-1480 - Juraj Vladika, Stephen Meisenbacher, Florian Matthes:
Lexical Substitution is not Synonym Substitution: On the Importance of Producing Contextually Relevant Word Substitutes. 1481-1488
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