DreamAnime: Learning Style-Identity Textual Disentanglement for Anime and Beyond

Συγγραφείς: Chenshu Xu, Yangyang Xu, Huaidong Zhang, Xuemiao Xu, Shengfeng He

Πηγή: IEEE Transactions on Visualization and Computer Graphics. 31:4198-4209

Θεματικοί όροι: Diffusion, Data Models, Artificial Intelligence and Robotics, Computational Modeling, Graphics and Human Computer Interfaces, Training, Natural Languages, Shape, Image Synthesis, Task Analysis, Customization, Visualization, Style Disentanglement

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/38713571

Modality-Aware Discriminative Fusion Network for Integrated Analysis of Brain Imaging Genomics

Συγγραφείς: Xiaoqi Sheng, Hongmin Cai, Yongwei Nie, Shengfeng He, Yiu-Ming Cheung, Jiazhou Chen

Πηγή: IEEE Transactions on Neural Networks and Learning Systems. 36:8577-8591

Θεματικοί όροι: Male, Artificial Intelligence and Robotics, multimodal fusion, OS and Networks, Brain, Neuroimaging, Genomics, Polymorphism, Single Nucleotide, Magnetic Resonance Imaging, Deep Learning, Alzheimer Disease, mild cognitive impairment (MCI), Humans, Imaging Genomics, Cognitive Dysfunction, Brain imaging genomics, Neural Networks, Computer, Algorithms, early diagnosis, Aged

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/39178069

Multiobjective Linear Ensembles for Robust and Sparse Training of Few-Bit Neural Networks

Συγγραφείς: Ambrogio Maria Bernardelli, Stefano Gualandi, Simone Milanesi, Hoong Chuin Lau, Neil Yorke-Smith

Συνεισφορές: Bernardelli, Ambrogio Maria, Gualandi, Stefano, Milanesi, Simone, Lau, Hoong Chuin, Yorke-Smith, Neil

Πηγή: INFORMS Journal on Computing. 37:623-643

Θεματικοί όροι: Artificial Intelligence and Robotics, Mixed-integer linear programming, Computer Sciences, Few-shot learning, sparsity, structured ensemble, binarized neural network, Binarized neural networks, Structured ensemble, integer neural network, Multi-objective optimisation, few-shot learning, multiobjective optimization, mixed-integer linear programming, Integer neural networks, Sparsity

Περιγραφή αρχείου: application/pdf; ELETTRONICO

Automating Procurement Practices Using Artificial Intelligence

Συγγραφείς: Xingyi Li, Viviana Culmone, Bert De Reyck, Onesun Steve Yoo

Πηγή: INFORMS Journal on Applied Analytics. 55:195-223

Θεματικοί όροι: Spend analysis, machine learning, Artificial Intelligence and Robotics, data-driven procurement, natural language processing, Operations and Supply Chain Management

RespEar: Earable-Based Robust Respiratory Rate Monitoring

Συγγραφείς: Liu, Yang, Butkow, Kayla-Jade, Stuchbury-Wass, Jake, Pullin, Adam, Ma, Dong, Mascolo, Cecilia

Συνεισφορές: Apollo - University of Cambridge Repository

Πηγή: 2025 IEEE International Conference on Pervasive Computing and Communications (PerCom). :67-77

Θεματικοί όροι: FOS: Computer and information sciences, Sound (cs.SD), Artificial Intelligence and Robotics, Audio and Speech Processing (eess.AS), Computer Science - Human-Computer Interaction, FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing, Human-Computer Interaction (cs.HC)

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2407.06901

Quantifying the Role of Active Listening and Reassurance in Virtual Health Coach Interactions

Συγγραφείς: HUSSAIN, GHULAM, Keegan, Brian, Ross, Robert

Συνεισφορές: Robert Ross, This research was conducted with the financial support of Science Foundation Ireland / Research Ireland under Grant Agreement No. 13/RC/2106 P2 at ADAPT, the SFI Research Centre for AI-Driven Digital Content Technology. For the purpose of Open Access, the authors have applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission.

Πηγή: Conference papers
Articles

Θεματικοί όροι: LLM, Conversational Agents, Health Care, Active Listening, Reassurance, Engineering, Artificial Intelligence and Robotics, active listening, reassurance, Conversational agents, health care, Other Computer Sciences

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://arrow.tudublin.ie/scschcomcon/443
https://arrow.tudublin.ie/creaart/244

Divide-and-Conquer: Confluent Triple-Flow Network for RGB-T Salient Object Detection

Συγγραφείς: Hao Tang, Zechao Li, Dong Zhang, Shengfeng He, Jinhui Tang

Πηγή: IEEE Transactions on Pattern Analysis and Machine Intelligence. 47:1958-1974

Θεματικοί όροι: FOS: Computer and information sciences, RGB-thermal, Encoder-Decoder, multi-modal fusion, Artificial Intelligence and Robotics, salient object detection, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Numerical Analysis and Scientific Computing, Computer Science - Multimedia, Multimedia (cs.MM)

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/40030445
http://arxiv.org/abs/2412.01556

Conditional Neural Heuristic for Multiobjective Vehicle Routing Problems

Συγγραφείς: Mingfeng Fan, Yaoxin Wu, Zhiguang Cao, Wen Song, Guillaume Sartoretti, Huan Liu, Guohua Wu

Πηγή: IEEE Transactions on Neural Networks and Learning Systems. 36:4677-4689

Θεματικοί όροι: Artificial Intelligence and Robotics, Pareto optimization, Theory and Algorithms, Decoding, Transportation, Encoder-decoder, Vehicle routing, vehicle routing problems, neural heuristic, Context modeling, Training, Encoder–decoder, multiobjective optimization, Fans, Neural networks

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/38517723
https://research.tue.nl/en/publications/cf1444fb-b68d-43eb-979c-4217ed876831
https://doi.org/10.1109/TNNLS.2024.3371706

Low Code/No Code Meets the Metaverse

Συγγραφείς: George F. Hurlburt, George K. Thiruvathukal, Nir Kshetri, Norita Ahmad

Πηγή: Computer. 58:22-28

Θεματικοί όροι: Artificial Intelligence and Robotics, low code, Computer Sciences, no code, computer science, software engineering

Physics-informed deep learning with Kalman filter mixture for traffic state prediction

Συγγραφείς: Deshpande, Niharika, Park, Hyoshin (John)

Πηγή: International Journal of Transportation Science and Technology, Vol 17, Iss, Pp 161-174 (2025)

Θεματικοί όροι: Travel time, Artificial Intelligence and Robotics, TA1001-1280, Learning systems, Theory and Algorithms, Systems Engineering, Deep learning, Transportation Engineering, Physics informed, Physics-informed, Graph neural network, Graph neural networks, Transportation engineering, Benchmarking, State space methods, Kalman filter (KF), Probability density function, Deep learning (DL), Long short-term memory, Uncertainty analysis, Kalman filters, Traffic congestion, Graph neural network (GNN), Uncertainty reduction, Forecasting

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://doaj.org/article/2909e6d82b8a409c8eb784a8e0e6ad00

Chatbot Democracy

Συγγραφείς: Nicholas Croce

Πηγή: Perspectives on Public Management and Governance. 8:53-60

Θεματικοί όροι: Artificial Intelligence and Robotics, Communication Technology and New Media, Artificial Intelligence (AI), public administration, natural language processing, Other Political Science, Interpersonal and Small Group Communication, Science and Technology Studies, deliberative democracy, generative chatbots in government

Περιγραφή αρχείου: application/pdf

Human-AI Synergy in Survey Development: Implications from Large Language Models in Business and Research

Συγγραφείς: Ping Fan Ke, Ka Chung Ng

Πηγή: ACM Transactions on Management Information Systems. 16:1-39

Θεματικοί όροι: Large Language Model, Artificial Intelligence and Robotics, Databases and Information Systems, Scale Development, Computer Sciences, Generative AI, Behavioral Research

Περιγραφή αρχείου: application/pdf

The integration of big data in finTech: Review of enhancing financial services through advanced technologies

Συγγραφείς: Pazouki, Soudeh, Jamshidi, Mohammad B., Jalali, Mirarmia, Tafreshi, Arya

Πηγή: World Journal of Advanced Research and Reviews. 25:546-556

Θεματικοί όροι: Big Data, Artificial intelligence, Big data, Artificial Intelligence and Robotics, Finance and Financial Management, Artificial Intelligence, Data Science, Financial services, Corporate Finance, Fintech, Financial Services

Περιγραφή αρχείου: application/pdf

A two-phase learning approach integrated with multi-source features for cloud service QoS prediction

Συγγραφείς: Chen, Fuzan, Yang, Jing, Feng, Haiyang, Wu, Harris, Li, Minqiang

Πηγή: Frontiers of Engineering Management. 12:117-127

Θεματικοί όροι: Artificial Intelligence and Robotics, Theory and Algorithms, Similarity measure, Data Science, Matrix factorization, QoS prediction, Cloud service, Deep neural network, Recommendation, Technology and Innovation, Quality

Περιγραφή αρχείου: application/pdf

Socially shared regulation of learning and artificial intelligence: Opportunities to support socially shared regulation

Συγγραφείς: Jinhee Kim, Rita Detrick, Seongryeong Yu, Yukyeong Song, Linda Bol, Na Li

Πηγή: Education and Information Technologies. 30:11483-11521

Θεματικοί όροι: Design, Artificial Intelligence and Robotics, Educational Psychology, Pedagogical content knowledge, Framework, Socially shared regulation of learning, Educational Technology, Online collaborative learning, Tools, AI for education, Collaborative learning with AI, TPACK, Students perception

Περιγραφή αρχείου: application/pdf

Deep Reinforcement Learning With Explicit Context Representation

Συγγραφείς: Francisco Munguia-Galeano, Ah-Hwee Tan, Ze Ji

Πηγή: IEEE Transactions on Neural Networks and Learning Systems. 36:419-432

Θεματικοί όροι: FOS: Computer and information sciences, Artificial intelligence, Computer Science - Machine Learning, machine learning (ML, Artificial Intelligence and Robotics, Theory and Algorithms, OS and Networks, deep reinforcement learning (RL), neural networks, Q-learning (QL), Machine Learning (cs.LG)

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/37906492
http://arxiv.org/abs/2310.09924

The ATTUNE Model for Artificial Trust Towards Human Operators

Συγγραφείς: Petousakis, Giannis, Cangelosi, Angelo, Stolkin, Rustam, Chiou, Manolis

Πηγή: Petousakis, G, Cangelosi, A, Stolkin, R & Chiou, M 2025, The ATTUNE Model for Artificial Trust Towards Human Operators. in 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC) : Proceedings. IEEE, pp. 1-8, 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Kuching, Malaysia, 6/10/24. https://doi.org/10.1109/SMC54092.2024.10831621

Θεματικοί όροι: FOS: Computer and information sciences, Computer Science - Robotics, real time systems, monitoring and evaluation, robot awareness, human-robot collaboration, artificial intelligence (incl. Robotics), Robotics (cs.RO), navigation and exploration

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2411.19580
https://research.manchester.ac.uk/en/publications/1a2643db-3786-467e-8f46-564734e6681f
https://doi.org/10.1109/SMC54092.2024.10831621
https://research.manchester.ac.uk/en/publications/1a2643db-3786-467e-8f46-564734e6681f
https://doi.org/10.1109/SMC54092.2024.10831621
https://doi.org/10.48550/arXiv.2411.19580

BrushBuds: Toothbrushing Tracking Using Earphone IMUs

Συγγραφείς: Yang, Q, Liu, Y, Stuchbury-Wass, J, Butkow, KJ, Ma, D, Mascolo, C

Συνεισφορές: DSpace at Cambridge pro (8.1)

Πηγή: Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing. :655-660

Θεματικοί όροι: Artificial Intelligence and Robotics, Hardware Systems, Earable devices, Toothbrushing monitoring, IMUs

Περιγραφή αρχείου: application/pdf

Fostering Trust Through User Interface Design in Multi-Drone Search and Rescue

Συγγραφείς: Johanna Ahlskog, Maria-Theresa Bahodi, Artur Lugmayr, Timothy Merritt

Πηγή: Ahlskog, J, Bahodi, M-T, Lugmayr, A & Merritt, T R 2024, Fostering Trust Through User Interface Design in Multi-Drone Search and Rescue. in TAS 2024-Proceedings of the 2nd International Symposium on Trustworthy Autonomous Systems., 2, Association for Computing Machinery (ACM), Austin TX USA, TAS '24: Second International Symposium on Trustworthy Autonomous Systems, Austin, Texas, United States, 16/09/2024. https://doi.org/10.1145/3686038.3686052

Θεματικοί όροι: Multi-agent robotic systems, Artificial Intelligence and Robotics, Computer Sciences, Unmanned aerial vehicle, Cognitive workload, Human Computer Interaction, Människa-datorinteraktion (interaktionsdesign), Search & Rescue, Trust, Situational awareness, Drone swarm, Human-drone interaction, Physical Sciences and Mathematics, Multi-robot systems, Multi-drone systems

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://vbn.aau.dk/da/publications/c25c6400-666f-4ed4-a0aa-7e6f233f8814
http://www.scopus.com/inward/record.url?scp=85205386200&partnerID=8YFLogxK
https://doi.org/10.1145/3686038.3686052
https://vbn.aau.dk/ws/files/753241867/3686038.3686052.pdf
https://vbn.aau.dk/ws/files/739172956/tas24-14.pdf
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-230579

Transparency and Authority Concerns with Using AI to Make Ethical Recommendations in Clinical Settings

Συγγραφείς: Jeffrey Byrnes, Michael Robinson

Πηγή: Nursing Ethics. 32:1749-1760

Θεματικοί όροι: transparency, Artificial intelligence, nursing ethics, Artificial Intelligence and Robotics, clinical ethics, 06 humanities and the arts, 0603 philosophy, ethics and religion, moral guidance, Health and Medical Administration, 03 medical and health sciences, 0302 clinical medicine, Applied Ethics, Medical Humanities

Περιγραφή αρχείου: application/pdf