Items where Division is "Current Faculties > Faculty of Engineering and Physical Sciences > School of Electronics and Computer Science > Web and Internet Science
School of Electronics and Computer Science > Web and Internet Science" and Year is 2023
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Number of items: 48.
A
Type: Article
| 2023
Varieties of transparency: exploring agency within AI systems - Gloria Andrada, Rob Clowes and Paul Smart
Type: Article
| 2023
B
ReLiNet: stable and explainable multistep prediction with recurrent linear parameter varying networks - Alexandra Baier, Decky Aspandi-Latif and Steffen Staab
Type: Conference or Workshop Item
| 2023
| International Joint Conferences on Artificial Intelligence
| Item availability restricted.
C
Ten years after ImageNet: a 360° perspective on artificial intelligence - Sanjay Chawla, Preslav Nakov, Ahmed Ali, Wendy Hall, Issa Khalil, Xiaosong Ma, Husrev Taha Sencar, Ingmar Weber, Michael Wooldridge and Ting Yu
Type: Article
| 2023
Type: Dataset
| 2023
| University of Southampton
| Item not available on this server.
Optimising manufacturing process with Bayesian structure learning and knowledge graphs - Tek Raj Chhetri, Sareh Aghaei, Anna Fensel, Ulrich Göhner, Sebnem Gül-Ficici and Jorge Martinez-Gil
Type: Conference or Workshop Item
| 2023
| Springer Cham
| Item not available on this server.
Towards improving prediction accuracy and user-level explainability using deep learning and knowledge graphs: a study on cassava disease - Tek Raj Chhetri, Armin Hohenegger, Anna Fensel, Mariam Aramide Kasali and Asiru Afeez Adekunle
Type: Article
| 2023
Type: Dataset
| 2023
| Zenodo
| Item not available on this server.
Detecting dangerous maritime refugee migration paths through cell phone activities - M. Coban, S. Yumusak, Y. Yilmaz and H.O. Altun
Type: Conference or Workshop Item
| 2023
| IEEE
| Item not available on this server.
Anion-polarisation-directed short-range-order in antiperovskite Li2FeSO - Samuel W. Coles, Viktoria Falkowski, Harry Geddes, Gabriel E. Pérez, Samuel Booth, Alexander G. Squires, Conn O'Rourke, Kit McColl, Andrew L. Goodwin, Serena A. Cussen, Simon Clarke, Saiful Islam and Benjamin J. Morgan
Type: Article
| 2023
A hybrid human-AI tool for scientometric analysis - Antonio Correia, Andrea Grover, Shoaib Jameel, Daniel Schneider, Pedro Antunes and Benjamin Fonseca
Type: Article
| 2023
D
AI supporting AAC pictographic symbol adaptations - E.A. Draffan, Mike Wald, Chao Ding and Yuanyuan Yin
Type: Article
| 2023
Exploring practical metrics to support automatic speech recognition evaluations - E.A. Draffan, Mike Wald, Chaohai Ding and Yunjia Li
Type: Article
| 2023
G
End-to-end multimodal sensor dataset collection framework for autonomous vehicles - Junyi Gu, Artjom Lind, Tek Raj Chhetri, Mauro Bellone and Raivo Sell
Type: Article
| 2023
H
Type: Monograph
| 2023
| University of Southampton
Can artificial intelligence be used to undermine elections? - Ben Hawes, Dame Wendy Hall and Matt Ryan
Type: Monograph
| 2023
| Web Science Trust
Type: Monograph
| 2023
| Web Science Trust
CNVVE: Dataset and Benchmark for Classifying Non-verbal Voice - Ramin Hedeshy, Raphael Menges and Steffen Staab
Type: Conference or Workshop Item
| 2023
Research software engineering accelerates the translation of biomedical research for health - David Horsfall, Jonah Cool, Simon Hettrick, Angela Oliveira Pisco, Neil Chue Hong and Muzlifah Haniffa
Type: Letter
| 2023
A dual-layer privacy-preserving federated learning framework - Wenxuan Huang, Thanassis Tiropanis and George Konstantinidis
Type: Conference or Workshop Item
| 2023
| Springer Singapore
I
Trust, accountability, and autonomy in knowledge graph-based AI for self-determination - Luis-Daniel Ibáñez, John Domingue, Sabrina Kirrane, Oshani Seneviratne, Aisling Third and Maria-Esther Vidal
Type: Article
| 2023
Type: Conference or Workshop Item
| 2023
How can we model climbers’ future visits from their past records? - Iustina Ivanova and Michael Wald
Type: Conference or Workshop Item
| 2023
| Association for Computing Machinery
| Item not available on this server.
Introducing context in climbing crags recommender system in Arco, Italy - Iustina Ivanova and Michael Wald
Type: Conference or Workshop Item
| 2023
| Association for Computing Machinery
| Item not available on this server.
Recommender systems for outdoor adventure tourism sports: hiking, running and climbing - Iustina Ivanova and Michael Wald
Type: Article
| 2023
Climbing crags recommender system in Arco, Italy: a comparative study - Iustina Ivanova and Mike Wald
Type: Article
| 2023
K
The smashHitCore ontology for GDPR-compliant sensor data sharing in smart cities - Anelia Kurteva, Tek Raj Chhetri, Amar Tauqeer, Rainer Hilscher, Anna Fensel, Kevin Nagorny, Ana Correia, Albert Zilverberg, Stefan Schestakov, Thorben Funke and Elena Demidova
Type: Article
| 2023
L
Type: Book Section
| 2023
| Routledge
| Item not available on this server.
HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting - Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab and Carl Yang
Type: Conference or Workshop Item
| 2023
| Item not available on this server.
M
Qrowdsmith: enhancing paid microtask crowdsourcing with gamification and furtherance incentives - Eddy Maddalena, Luis-Daniel Ibáñez, Neal Reeves and Elena Simperl
Type: Article
| 2023
Benchmark evaluation for tasks with highly subjective crowdsourced annotations: Case study in argument mining of political debates - Rafael Mestre, Matt Ryan, Stuart E Middleton, Richard Gomer, Masood Gheasi, Jiatong Zhu and Timothy Norman
Type: Conference or Workshop Item
| 2023
| AAAI Press
| Item availability restricted.
ESPRESSO: a framework for empowering search on decentralized web - Mohamed Mohamed, Yury Savateev, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman and George Russos
Type: Conference or Workshop Item
| 2023
| Springer Singapore
| Item availability restricted.
SCENE: reasoning about traffic scenes using heterogeneous graph neural networks - Thomas Monninger, Julian Schmidt, Jan Rupprecht, David Raba, Julian Jordan, Daniel Frank, Steffen Staab and Klaus Dietmayer
Type: Article
| 2023
Semantic map learning of traffic light to lane assignment based on motion data - Thomas Monninger, Andreas Silvius Weber and Steffen Staab
Type: Conference or Workshop Item
| 2023
Fairness implications of encoding protected categorical attributes - Carlos Mougan, Jose M. Alvarez, Salvatore Ruggieri and Steffen Staab
Type: Conference or Workshop Item
| 2023
Monitoring model deterioration with explainable uncertainty estimation via non-parametric bootstrap - Carlos Mougan and Dan Saattrup Nielsen
Type: Conference or Workshop Item
| 2023
| Item availability restricted.
N
Integrating knowledge graph embeddings and pre-trained language models in hypercomplex spaces - Mojtaba Nayyeri, Zihao Wang, Mst. Mahfuja Akter, Mirza Mohtashim Alam, Md Rashad Al Hasan Rony, Jens Lehmann and Steffen Staab
Type: Conference or Workshop Item
| 2023
Knowledge graph embeddings using neural itô process: from multiple walks to stochastic trajectories - Mojtaba Nayyeri, Bo Xiong, Majid Mohammadi, Mst. Mahfuja Akter, Mirza Mohtashim Alam, Jens Lehmann and Steffen Staab
Type: Conference or Workshop Item
| 2023
O
Type: Music Item
| 2023
| Item not available on this server.
Increasing user trust in Mobility-as-a-Service IoT ecoSystem (UMIS) Project - Final Report - Temitope Omitola, Ben Waterson, Niko Tsakalakis, Sophie Stalla-Bourdillon, Richard Gomer, Thomas Cherrett and Gary Wills
Type: Monograph
| 2023
| PETRAS National Centre of Excellence
P
Robust knowledge extraction from large language models using social choice theory - Nico Potyka, Yuqicheng Zhu, Yunjie He, Evgenyi Kharlamov and Steffen Staab
Type: Conference or Workshop Item
| 2023
R
Enhanced ePrints: a practical exemplar with global application for the visualisation and interaction with archival data systems using the Lifelines interface - David Rew, Harry Nelson, Philip Stambolov, Liulan Qian, Alexander Banwell and Leslie Carr
Type: UNSPECIFIED
| 2023
CLEFT: Contextualised unified Learning of User Engagement in Video Lectures with Feedback - Sujit Roy, Vishal Gaur, Haider Razah and Shoaib Jameel
Type: Article
| 2023
| Item not available on this server.
S
A methodology on converting 10-K filings into a machine learning dataset and its applications - M. Sami Kacar, S. Yumusak and H. Kodaz
Type: Article
| 2023
T
Topics in contextualised attention embeddings - Mozhgan Talebpour, Alba Garcia Seco De Herrero and Mohammad Shoaib Jameel
Type: Conference or Workshop Item
| 2023
| Springer Cham
V
A shared accretion instability for black holes and neutron stars - F.M. Vincentelli, J. Neilsen, A.J. Tetarenko, Y. Cavecchi, N. Castro Segura, S. del Palacio, J. van den Eijnden, G. Vasilopoulos, D. Altamirano, M. Armas Padilla, C.D. Bailyn, T. Belloni, D.J.K. Buisson, V.A. Cuneo, N. Degenaar, C. Knigge, K. S. Long, F. Jimenez-Ibarra, J. Milburn, T. Muñoz Darias, M. Özbey Arabaci, R. Remillard and T. Russell
Type: Article
| 2023
X
Shrinking embeddings for hyper-relational knowledge graphs - Bo Xiong, Mojtaba Nayyeri, Shirui Pan and Steffen Staab
Type: Conference or Workshop Item
| 2023
Z
Hierarchical convolutional attention network for depression detection on social media & it's impact during the pandemic - Hamad Zogan, Imran Razzak, Shoaib Jameel and Guandong Xu
Type: Article
| 2023