2023 publications

Abdellahi, M. et al. 2023. Targeted memory reactivation in human REM sleep elicits detectable reactivation. eLife 12 e84324. (10.7554/elife.84324)
Abdellahi, M. E. A. et al. 2023. Targeting targeted memory reactivation: characteristics of cued reactivation in sleep. NeuroImage 266 119820. (10.1016/j.neuroimage.2022.119820)
Abu Awwad, Y. 2023. Anomaly detection on the edge using smart cameras under low light conditions. MPhil Thesis , Cardiff University.
Abu Awwad, Y. , Rana, O. and Perera, C. 2023. Anomaly detection on the edge using Smart cameras under low-light conditions. Technical Report.
Aflaki, N. et al., 2023. An empirical study of the semantic similarity of geospatial prepositions and their senses. Spatial Cognition & Computation 23 (2), pp.132-176. (10.1080/13875868.2022.2111683)
Agyepong, E. 2023. Measuring the performance of a Security Operations Centre (SOC) analyst: An industry-validated approach based on weighted SOC functions. PhD Thesis , Cardiff University.
Agyepong, E. et al. 2023. A systematic method for measuring the performance of a cyber security operations centre analyst. Computers and Security 124 102959. (10.1016/j.cose.2022.102959)
Ahmad, S. et al. 2023. Exploring the potential of social robots in supporting home medication management. Presented at: BCS HCI 2023 York. United Kingdom 28-29 August 2023. Proceedings BCS Human-Computer Interaction Conference.
Ahmed, M. S. et al., 2023. A minimalistic approach to predict and understand the relation of app usage with students’ academic performances. Presented at: MobileHCI 2023 26-29 September 2023. Proceedings of the ACM on Human-Computer Interaction. Vol. 7.New York: Association for Computing Machinery (ACM). , pp.1-28. (10.1145/3604240)
Ahmed, N. et al., 2023. Structured training as an enabler for women in ICT: A case study from Bangladesh. Presented at: IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) 2022 04-07 December 2022. 2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE). IEEE. , pp.120-124. (10.1109/TALE54877.2022.00027)
Ahmed, R. N. , Javed, A. and Bedewi, W. 2023. Is Covid-19 being used to spread Malware. SN Computer Science (4) 398. (10.1007/s42979-023-01838-6)
Aja-Fernández, S. et al., 2023. Validation of Deep Learning techniques for quality augmentation in diffusion MRI for clinical studies. NeuroImage: Clinical 39 103483. (10.1016/j.nicl.2023.103483)
Al lelah, T. et al. 2023. Machine learning detection of cloud services abuse as C&C Infrastructure. Journal of Cybersecurity and Privacy 3 (4), pp.858-881. (10.3390/jcp3040039)
Al lelah, T. et al. 2023. Abuse of cloud-based and public legitimate services as command-and-control (C&C) infrastructure: a systematic literature review. Journal of Cybersecurity and Privacy 3 (3), pp.558-590. (10.3390/jcp3030027)
Al Muhander, B. et al. 2023. Interactive privacy management: towards enhancing privacy awareness and control in internet of things. ACM Transactions on Internet of Things (10.1145/3600096)
Alabbas, A. et al. 2023. Performance analysis of Apache openwhisk across the edge-cloud continuum. Presented at: 16th International Conference on Cloud Computing (CLOUD) 02-08 July 2023. 2023 IEEE 16th International Conference on Cloud Computing (CLOUD). IEEE. (10.1109/CLOUD60044.2023.00054)
Albazzai, N. , Rana, O. and Perera, C. 2023. Poster abstract: camera-assisted training of non-vision sensors for anomaly detection. Presented at: 8th ACM/IEEE Conference on Internet of Things Design and Implementation New York, NY, United States 9-12 May 2023. Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation. Association for Computing Machinery. , pp.452-453. (10.1145/3576842.3589164)
Aldhafiri, R. et al., 2023. Voice-enabled privacy assistant towards facilitating successful ageing in smart homes. Presented at: IEEE International Conference on Pervasive Computing and Communications Atlanta, Georgia, USA 13-17 March 2023.
Alenizi, F. 2023. Optimising computational offloading and resource management in online and stochastic fog computing systems. PhD Thesis , Cardiff University.
Alevizaki, A. , Pham, N. and Trigoni, N. 2023. Invited paper: Hierarchical activity recognition with smartwatch IMU. Presented at: 24th International Conference on Distributed Computing and Networking Kharagpur, India 4-7 January 2023. ICDCN '23: Proceedings of the 24th International Conference on Distributed Computing and Networking. New York, US: Association for Computing Machinery. , pp.48–57. (10.1145/3571306.3571390)
Alghanmi, I. 2023. Interpreting patient case descriptions with biomedical language models. PhD Thesis , Cardiff University.
Alhamazani, F. 2023. 3D reconstruction from depth images using machine learning. PhD Thesis , Cardiff University.
Alhamazani, F. , Lai, Y. and Rosin, P. L. 2023. 3DCascade-GAN: Shape completion from single-view depth images. Computers and Graphics 115 , pp.412-422. (10.1016/j.cag.2023.07.033)
Alhamazani, F. , Rosin, P. and Lai, Y. 2023. An Image-based model for 3D shape quality measure. Presented at: EG UK Computer Graphics & Visual Computing Aberystwyth, UK 14-15 September 2023. Proceedings EG UK Computer Graphics & Visual Computing. Eurographics - The European Association for Computer Graphics. (10.2312/cgvc.20231187)
Alhirabi, N. 2023. Designing privacy aware Internet of Things applications.. PhD Thesis , Cardiff University.
Alhirabi, N. et al. 2023. Designing privacy-aware IoT for unregulated domains. Technical Report.
Alhirabi, N. et al., 2023. Privacy-patterns for IoT application developers. Presented at: The 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp / ISWC) 11-15 September 2022. (10.1145/3544793.3560333)
Alhirabi, N. et al. 2023. PARROT: Interactive privacy-aware internet of things application design tool. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7 (1) 1. (10.1145/3580880)
Aljeraisy, A. , Rana, O. and Perera, C. 2023. Canella: Privacy-aware end-to-end integrated IoT development ecosystem. Presented at: IEEE International Conference on Pervasive Computing and Communications Atlanta, USA 13-17 March 2023.
Aljohani, R. , Saxena, N. and Bhadoria, R. S. 2023. Security issues and challenges in cloud computing. In: Alharahsheh, H. H. and Mazumdar, A. eds. Handbook of Research on Cloud Computing Applications in SMES. IGI Global
Alkhariji, L. 2023. Synthesizing and modeling privacy-by-design knowledge For IoT applications. PhD Thesis , Cardiff University.
Alkhariji, L. et al. 2023. Semantics-based privacy by design for Internet of Things applications. Future Generation Computer Systems 138 , pp.280-295. (10.1016/j.future.2022.08.013)
Allen, R. et al., 2023. Moving on: greener travel for the UK. Project Report.[Online].London, U.K.: Green Alliance. Available at: https://green-alliance.org.uk/publication/moving-on-greener-travel-for-the-uk/.
Almeman, F. , Sheikhi, H. and Espinosa-Anke, L. 2023. 3D-EX: A unified dataset of definitions and dictionary examples. Presented at: R A N L P 2 0 2 3 International conference recent advances in natural language processing 4-6 September 2023. Proceedings of Recent Advances in Natural Language Processing. Shoumen, Bulgaria: INCOMA Ltd. , pp.69-79. (10.26615/978-954-452-092-2_008)
Alosaimi, M. , Rana, O. and Perera, C. 2023. Testbeds and evaluation frameworks for anomaly detection within built environments: A systematic review. Working paper. N/A.
Alqarni, F. , Rana, O. and Perera, C. 2023. Intelligent design techniques towards implicit and explicit learning: a systematic review. Technical Report.
Alrowaili, Y. et al. 2023. Review: Monitoring situational awareness of smart grid cyber-physical systems and critical asset identification. IET Cyber-Physical Systems: Theory & Applications 8 (3), pp.160-185. (10.1049/cps2.12059)
Alsafery, W. , Rana, O. and Perera, C. 2023. Sensing within smart buildings: A survey. ACM Computing Surveys 55 (13s) 297. (10.1145/3596600)
AlShuhail, A. and Shao, J. 2023. Semantic attack on disassociated transaction data. Springer Nature 4 344. (10.1007/s42979-023-01781-6)
Alsudays, N. et al., 2023. Afpsnet: multi-class part parsing based on scaled attention and feature fusion. Presented at: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Waikoloa, Hawaii, 3-7 Jan 2023. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE. , pp.4022-4031. (10.1109/WACV56688.2023.00402)
Alsufyani, A. , Rana, O. and Perera, C. 2023. Knowledge-based cyber physical security at smart home: a review. Technical Report.
Alsulami, A. 2023. Extracting attributes for online communities. PhD Thesis , Cardiff University.
Alymani, A. , Jabi, W. and Corcoran, P. 2023. Modelling the relationships between ground and buildings using 3D architectural topological models utilising graph machine learning. Presented at: 6th International Symposium on Formal Methods in Architecture (6FMA) 24-28 May 2022. Published in: Mona, P. L. et al., Formal Methods in Architecture. FMA 2022. Digital Innovations in Architecture, Engineering and Construction. Singapore: Springer. , pp.287-305. (10.1007/978-981-99-2217-8_16)
Amaizu, M. U. et al., 2023. Edge-enhanced QoS aware compression learning for sustainable data stream analytics. IEEE Transactions on Sustainable Computing 8 (3), pp.448-464. (10.1109/TSUSC.2023.3252039)
Anggoro, A. W. et al. 2023. Using DistilBERT to assign HS codes to international trading transactions. Presented at: World Conference on Information Systems and Technologies Pisa, Italy 4 - 6 April 2023.
Antypas, D. , Preece, A. and Camacho Collados, J. 2023. Negativity spreads faster: A large-scale multilingual twitter analysis on the role of sentiment in political communication. Online Social Media and Networks 33 100242. (10.1016/j.osnem.2023.100242)
Antypas, D. et al., 2023. SuperTweetEval: A challenging, unified and heterogeneous benchmark for social media NLP research. Presented at: The 2023 Conference on Empirical Methods in Natural Language Processing Singapore 6 - 10 December 2023. Published in: Bouamor, H. , Pino, J. and Bali, K. eds. Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics. , pp.12590-12697. (10.18653/v1/2023.findings-emnlp.838)
Asiri, M. , Saxena, N. and Burnap, P. 2023. Advancing resilience of cyber-physical smart grid: An integrated co-simulation approach incorporating indicators of compromise. Presented at: International Workshop on Re-design Industrial Control Systems with Security (RICSS) in conjunction with IEEE EuroS&P Delft, Netherlands 3-7 July 2023. 2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW). IEEE. , pp.370-378. (10.1109/eurospw59978.2023.00047)
Asiri, M. et al. 2023. Understanding indicators of compromise against cyber-attacks in industrial control systems: a security perspective. ACM transactions on cyber-physical systems 7 (2), pp.1-33. (10.1145/3587255)
Ayoobi, H. , Potyka, N. and Toni, F. 2023. SpArX: sparse argumentative explanations for neural networks. Presented at: 26th European Conference on Artificial Intelligence (ECAI) 30 September - 04 October 2023. ECAI 2023. Vol. 372.Frontiers in Artificial Intelligence and Applications IOS Press. , pp.149-156. (10.3233/FAIA230265)
Azizi, S. et al., 2023. A scalable and flexible platform for service placement in multi-fog and multi-cloud environments. Journal of Supercomputing (10.1007/s11227-023-05520-9)
Bandara, M. et al., 2023. Forest Sound Classification Dataset: FSC22. Sensors 23 (4) 2032. (10.3390/s23042032)
Barati, M. et al., 2023. Compliance checking of cloud providers: design and implementation. Distributed Ledger Technologies: Research and Practice (10.1145/3585538)
Barclay, I. et al. 2023. Providing assurance and scrutability on shared data and machine learning models with verifiable credentials. Concurrency and Computation: Practice and Experience 35 (18) e6997. (10.1002/cpe.6997)
Beatson, O. et al. 2023. Automation on Twitter: Measuring the effectiveness of approaches to Bot detection. Social Science Computer Review 41 (1), pp.181-200. (10.1177/08944393211034991)
Belarbi, O. et al. 2023. Federated deep learning for intrusion detection in IoT networks. Presented at: GLOBECOM 2023 - 2023 IEEE Global Communications Conference Kuala Lumpur, Malaysia 04-08 December 2023. 2023 IEEE Global Communications Conference Proceedings. IEEE. , pp.237-242. (10.1109/GLOBECOM54140.2023.10437860)
Beuchert, J. , Camurri, M. and Fallon, M. 2023. Factor graph fusion of raw GNSS sensing with IMU and lidar for precise robot localization without a base station. Presented at: IEEE International Conference on Robotics and Automation (ICRA) London, United Kingdom 29 May 2023-02 June 2023. 2023 IEEE International Conference on Robotics and Automation (ICRA). IEEE. , pp.8415-8421. (10.1109/icra48891.2023.10161522)
Beuchert, J. , Matthes, A. and Rogers, A. 2023. SnapperGPS: open hardware for energy-efficient, low-cost wildlife location tracking with snapshot GNSS. Journal of Open Hardware 7 (1)(10.5334/joh.48)
Bienvenu, M. et al., 2023. Combining global and local merges in logic-based entity resolution. Presented at: 20th International Conference on Principles of Knowledge Representation and Reasoning (KR2023) Rhodes, Greece 2-8 September 2023.
Bienvenu, M. , Cima, G. and Gutierrez Basulto, V. 2023. REPLACE: A logical framework for combining collective entity resolution and repairing. Presented at: 32nd International Joint Conference on Artificial Intelligence Macao, China 19-25 August 2023.
Boisson, J. , Espinosa-Anke, L. and Camacho Collados, J. 2023. Construction artifacts in metaphor identification datasets. Presented at: 2023 Conference on Empirical Methods in Natural Language Processing Singapore 6-10 December 2023. Published in: Bouamor, H. , Pino, J. and Bali, K. eds. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. , pp.6581–6590. (10.18653/v1/2023.emnlp-main.406)
Booth, H. , Ma, W. and Karakuş, O. 2023. High-precision density mapping of marine debris and floating plastics via satellite imagery. Scientific Reports 13 6822. (10.1038/s41598-023-33612-2)
Borkakoty, H. and Espinosa-Anke, L. 2023. WIKITIDE: A Wikipedia-based timestamped definition pairs dataset. Presented at: R A N L P 2 0 2 3 International conference recent advances in natural language processing 4-6 September 2023. Proceedings of Recent Advances in Natural Language Processing. Shoumen, Bulgaria: INCOMA Ltd. , pp.207-216. (10.26615/978-954-452-092-2_023)
Butterworth, G. and Booth, R. 2023. A contribution to the defense of liquid democracy. Presented at: 24th Annual International Conference on Digital Government Research (dg.o 2023) Gdansk, Poland 11-14 July 2023. Proceedings of 24th Annual International Conference on Digital Government Research. New York, NY, USA: ACM. , pp.244-250. (10.1145/3598469.3598496)
Cajamarca, G. et al., 2023. Understanding how to design health data visualizations for Chilean older adults on mobile devices. Presented at: DIS '23: Designing Interactive Systems Conference 10 -14 July 2023. DIS '23: Proceedings of the 2023 ACM Designing Interactive Systems Conference. New York, NY: ACM. (10.1145/3563657.3596109)
Cajamarca, G. et al., 2023. Technologies for managing the health of older adults with multiple chronic conditions: A systematic literature review. Healthcare 11 (21) 2897. (10.3390/healthcare11212897)
Cameron, H. et al., 2023. Co-creating museum robots with people that are autistic and/or have learning disabilities. Presented at: First International Symposium on Trustworthy Autonomous Systems Edinburgh, UK 11-12 July 2023. Proceedings of TAS ’23. ACM(10.1145/3597512.3597525)
Chatterjee, U. , Gajbhiye, A. and Schockaert, S. 2023. Cabbage sweeter than cake? Analysing the potential of large language models for learning conceptual spaces. Presented at: Conference on Empirical Methods in Natural Language Processing, EMNLP Singapore 6-10 December 2023. Published in: Bouamor, H. , Pino, J. and Bali, K. eds. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. , pp.11836–11842. (10.18653/v1/2023.emnlp-main.725)
Chatterjee, U. and Schockaert, S. 2023. Probing the conceptual space of ChatGPT and GPT-4. Presented at: 9th Workshop on Artificial Intelligence and Cognition Bremen 14-15 September 2023.
Chen, C. et al., 2023. A unified interactive model evaluation for classification, object detection, and instance segmentation in computer vision. Presented at: IEEE VIS 2023 Melbourne, Australia 22-27 October 2023. Institute of Electrical and Electronics Engineers. (10.1109/TVCG.2023.3326588)
Chen, L. et al., 2023. Deep deformation detail synthesis for thin shell models. Computer Graphics Forum 42 (5) e14903. (10.1111/cgf.14903)
Chen, R. et al., 2023. Masonry shell structures with discrete equivalence classes. ACM Transactions on Graphics 42 (4) 115. (10.1145/3592095)
Chen, S. et al., 2023. 3D face reconstruction and gaze tracking in the HMD for virtual interaction. IEEE Transactions on Multimedia 25 , pp.3166-3179. (10.1109/TMM.2022.3156820)
Chen, Y. et al., 2023. On the private data synthesis through deep generative models for data scarsity of industrial Internet of Things. IEEE Transactions on Industrial Informatics 19 (1), pp.551-560. (10.1109/TII.2021.3133625)
Chi Lok U, S. et al., 2023. Instances and labels: Hierarchy-aware joint supervised contrastive learning for hierarchical multi-label text classification. Presented at: 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) Singapore 06 -10 December 2023.
Chopard, D. 2023. Deep learning for clinical texts in low-data regimes. PhD Thesis , Cardiff University.
Coleman, T. et al., 2023. Reconsidering priorities for digital maternal and child health: community-centered perspectives from South Africa. Proceedings of the ACM on Human-Computer Interaction 7 290. (10.1145/3610081)
Colombo, G. , Whitaker, R. and Liu, H. 2023. Exploring human models of innovation for generative AI. Presented at: ICCC'23 14th International Conference on Computational Creativity Waterloo, Ontarion Canada 19-23 June 2023.
Corcoran, P. and Jones, C. 2023. Topological data analysis for geographical information science using persistent homology. International Journal of Geographical Information Science 37 (3), pp.712-745. (10.1080/13658816.2022.2155654)
Corcoran, P. and Lewis, R. 2023. A navigability entropy model for street networks. Environment and Planning B: Urban Analytics and City Science 50 (8), pp.2171-2186. (10.1177/23998083231170191)
Corcoran, P. and Spasic, I. 2023. Self-supervised representation learning for geographical data - a systematic literature review. ISPRS International Journal of Geo-Information 12 (2) 64. (10.3390/ijgi12020064)
Cromb, D. et al., 2023. Assessing within-subject rates of change of placental MRI diffusion metrics in normal pregnancy. Magnetic Resonance in Medicine 90 (3), pp.1137-1150. (10.1002/mrm.29665)
Daniel, F. and Sarah, C. 2023. Tackling loneliness and isolation in older adults with virtual reality: How do we move forward?. Gerontology and Geriatric Medicine (10.1177/23337214231186204)
D'Arcy, L. 2023. Deep reinforcement learning methods for automated workflow construction in large scale open distributed systems. PhD Thesis , Cardiff University.
Davies, C. , Roig Vilamala, M. and Preece, A. 2023. Knowledge from uncertainty in evidential deep learning. [Online].Available at: https://charliezhaoyinpeng.github.io/UDM-KDD23/ap/.
Deng, Z. et al. 2023. Sketch2PQ: freeform planar quadrilateral mesh design via a single sketch. IEEE Transactions on Visualization and Computer Graphics 29 (9), pp.3826-3839. (10.1109/TVCG.2022.3170853)
d'Orazio, L. et al., 2023. The lannion report on big data and security monitoring research. Presented at: 2022 IEEE International Conference on Big Data (Big Data) Osaka, Japan 17-20 December 2022. 2022 IEEE International Conference on Big Data (Big Data). IEEE. (10.1109/BigData55660.2022.10020852)
Doval, Y. et al., 2023. Meemi: a simple method for post-processing and integrating cross-lingual word embeddings. Natural Language Engineering 29 (3), pp.746-768. (10.1017/S1351324921000280)
Du, X. et al., 2023. MMPosE: Movie-induced multi-label positive emotion classification through EEG signals. IEEE Transactions on Affective Computing 14 (4), pp.2925-2938. (10.1109/TAFFC.2022.3221554)
Duman, A. et al. 2023. RFS+: A clinically adaptable and computationally efficient strategy for enhanced brain tumor segmentation. Cancers 15 (23) 5620. (10.3390/cancers15235620)
Dwivedi, R. et al., 2023. Explainable AI (XAI): core ideas, techniques and solutions. ACM Computing Surveys 55 (9) 835. (10.1145/3561048)
Edmunds, G. et al., 2023. Associations between dog breed and clinical features of mammary epithelial neoplasia in bitches: an epidemiological study of submissions to a single diagnostic pathology centre between 2008-2021. Journal of Mammary Gland Biology and Neoplasia 28 (6)(10.1007/s10911-023-09531-3)
Erol, U. et al., 2023. Evaluating concept drift detectors on real-world data. Presented at: International Conference on Embedded Wireless Systems and Networks (EWSN 2023) 25-27 September 2023.
Erol, U. et al., 2023. Multi-sensor, multi-device smart building indoor environmental dataset. Data in Brief 40 109392. (10.1016/j.dib.2023.109392)
Eslambolchilar, P. et al. 2023. Tangible data visualization of physical activity for children and adolescents: A qualitative study of temporal transition of experiences. Journal of Child Computer Interaction 35 100565. (10.1016/j.ijcci.2023.100565)
Fallatah, K. U. , Barhamgi, M. and Perera, C. 2023. Personal Data Stores (PDS): A Review. Sensors 23 (3) 1477. (10.3390/s23031477)
Fang, F. et al., 2023. Handwriting velcro: Endowing AR glasses with personalized and posture-adaptive text input using flexible touch sensor. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 6 (4), pp.1-31. 163. (10.1145/3569461)
Fang, Y. et al., 2023. Study of spatio-temporal modeling in video quality assessment. IEEE Transactions on Image Processing 32 , pp.2693-2702. (10.1109/TIP.2023.3272480)
Feng, W. et al., 2023. Differentiable deformation graph-based neural non-rigid registration. Communications in Mathematics and Statistics 11 , pp.151-167. (10.1007/s40304-023-00341-x)
Fonseca, D. 2023. Multi-sensor people counting for remote sanitary facility monitoring. MPhil Thesis , Cardiff University.
Förster, F. et al., 2023. Working with troubles and failures in conversation between humans and robots. Presented at: CUI '23: ACM conference on Conversational User Interfaces 19-21 July 2023. CUI '23: Proceedings of the 5th International Conference on Conversational User Interfaces. New York, NY: Association for Computing Machinery. , pp.1-4. (10.1145/3571884.3597437)
Friedrichs, B. 2023. Decoding user behaviour from Smartphone interaction event streams. PhD Thesis , Cardiff University.
Fuentes, C. , Porcheron, M. and Fischer, J. E. 2023. RoboClean: Contextual language grounding for human-robot interactions in specialised low-resource environments. Presented at: 5th International Conference on Conversational User Interfaces Eindhoven, Netherlands 19-21 July 2023. Published in: Lee, M. et al., Proceedings of the 5th International Conference on Conversational User Interfaces. New York, NY, US: Association for Computing Machinery. (10.1145/3571884.3597137)
Gajbhiye, A. et al. 2023. What do deck chairs and sun hats have in common? Uncovering shared properties in large concept vocabularies. Presented at: Conference on Empirical Methods in Natural Language Processing, EMNLP Singapore 6-10 December 2023. Published in: Bouamor, H. , Pino, J. and Bali, K. eds. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. , pp.10587–10596. (10.18653/v1/2023.emnlp-main.654)
Galvez Trigo, M. J. et al. 2023. "They’re not going to do all the tasks we do": Understanding trust and reassurance towards a UV-C disinfection robot. Presented at: 32nd IEEE International Conference on Robot and Human Interactive Communication, IEEE RO-MAN 2023 Busan, South Korea 28-31 August 2023. 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE. , pp.2140-2147. (10.1109/ro-man57019.2023.10309364)
Gao, L. et al., 2023. SketchFaceNeRF: Sketch-based facial generation and editing in neural radiance fields. ACM Transactions on Graphics 42 (4) 159. (10.1145/3592100)
Gao, L. et al., 2023. SceneHGN: Hierarchical Graph Networks for 3D indoor scene generation with fine-grained geometry. IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (7), pp.8902-8919. (10.1109/TPAMI.2023.3237577)
Gao, Y. et al. 2023. Hierarchical reinforcement learning-based mapless navigation with predictive exploration worthiness. Presented at: IEEE International Conference on Mechatronics and Automation Harbin, Heilongjiang, China 6-9 August 2023.
Ghanbarafjeh, M. et al., 2023. Developing a secure architecture for internet of medical things using attribute-based encryption. Presented at: 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC) Vancouver, WA, USA 06-09 December 2022. 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC). IEEE. (10.1109/UCC56403.2022.00028)
Golec, M. et al., 2023. BlockFaaS: Blockchain-enabled serverless computing framework for AI-driven IoT healthcare applications. Journal of Grid Computing 21 (4) 63. (10.1007/s10723-023-09691-w)
Goodwin, N. et al. 2023. Balance-Land: a gamified rehabilitation program for people with Persistent Perceptual Postural Dizziness (PPPD) and visual vertigo. [Online].PsyArXiv: Center for Open Science. (10.31234/osf.io/9gb73)Available at: https://doi.org/10.31234/osf.io/9gb73.
Goscinski, A. and Rana, O. 2023. EDGE 2023 General Chairs Message. Presented at: 2023 IEEE International Conference on Edge Computing and Communications (EDGE) 2-8 July 2023. 2023 IEEE International Conference on Edge Computing and Communications (EDGE). IEEE. (10.1109/EDGE60047.2023.00009)
Gould, S. J. J. et al. 2023. Remote work, work measurement, and the state of work research in human-centred computing. Interacting with Computers iwad014.
Guan, T. et al., 2023. Visibility and distortion measurement for no-reference dehazed image quality assessment via complex contourlet transform. IEEE Transactions on Multimedia 25 , pp.3934-3949. (10.1109/TMM.2022.3168438)
Guerra, A. and Karakuş, O. 2023. Sentiment analysis for measuring hope and fear from Reddit posts during the 2022 Russo-Ukrainian conflict. Frontiers in Artificial Intelligence 6 1163577. (10.3389/frai.2023.1163577)
Gutierrez Basulto, V. et al. 2023. Finite entailment of UCRPQs over ALC ontologies (Extended Abstract). Presented at: 32nd International Joint Conference on Artificial Intelligence Macao, China 19-25 August 2023.
Gutierrez Basulto, V. et al. 2023. Answering regular path queries mediated by unrestricted SQ ontologies. Artificial Intelligence 314 103808. (10.1016/j.artint.2022.103808)
Guzman Olivares, D. , Quijano, L. and Liberatore, F. 2023. Enhancing information retrieval in fact extraction and verification. Presented at: Sixth Fact Extraction and VERification Workshop (FEVER) Dubrovnik, CroatiaAssociation for Computational Linguistics. , pp.34-48.
Hadoux, E. , Hunter, A. and Polberg, S. 2023. Strategic argumentation dialogues for persuasion: framework and experiments based on modelling the beliefs and concerns of the persuadee. Argument and Computation 14 (2), pp.109-161. (10.3233/AAC-210005)
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Xu, T. et al., 2023. CXTrack: Improving 3D point cloud tracking with contextual information. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Vancouver, Canada 18-22 June 2023.
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Yi, R. et al., 2023. Towards artistic image aesthetics assessment: a large-scale dataset and a new method. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Vancouver, Canada 18-22 June 2023.
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