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| Issue Date | Title | Author(s) |
| 2013 | Affective state level recognition in naturalistic facial and vocal expressions | Meng, H; Bianchi-Berthouze, N |
| 2021 | AI based Automated Detection, Measurement and Classification of Pits and Cracks on Rail Axles for Microscopic Visual Inspection in Non-Destructive Testing | Syeda, Juvaria Fatima |
| 11-May-2021 | The American Way—Until Machine Learning Algorithm Beats the Law? Algorithmic Consumer Credit Scoring in the EU and US | Gikay, AA |
| 2016 | The Application of Quantitative Structure Activity Relationship Models to the Method Development of Countercurrent Chromatography | Marsden-Jones, Siân Catherine |
| 2020 | Applications of machine learning to machine fault diagnosis: A review and roadmap | Lei, Y; Yang, B; Jiang, X; Jia, F; Li, N; Nandi, AK |
| 2017 | An architectural framework for assessing quality of experience of web applications | Radwan, Omar Amer |
| 2018 | Artificial intelligence system for continuous affect estimation from naturalistic human expressions | Abd Gaus, Yona Falinie |
| 2014 | Automatic classification of digital communication signal modulations | Zhu, Zhechen |
| 2019 | Automating the construction of higher order data representations from heterogeneous biodiversity datasets | Nicolson, Nicky |
| 2020 | Broken Power Strand Detection with Aerial Images: A Machine Learning based Approach | Pan, Y; Liu, F; Yang, J; Zhang, W; Li, Y; Lai, CS; Wu, X; Lai, LL; Hong, B |
| 2008 | Can k-NN imputation improve the performance of C4.5 with small software project data sets? A comparative evaluation | Song, Q; Shepperd, MJ; Chen, X; Liu, J |
| 2016 | Can your smartphone detect your emotion? | Dai, D; Liu, Q; Meng, H |
| 2015 | Collective analysis of multiple high-throughput gene expression datasets | Abu Jamous, Basel |
| 2016 | A comparison between heuristic and machine learning techniques in fall detection using Kinect v2 | Amini, A; Banitsas, K; Cosmas, J |
| 2016 | Computational intelligence modeling of the macromolecules release from PLGA microspheres-focus on feature selection | Zawbaa, HM; Szlȩk, J; Grosan, C; Jachowicz, R; Mendyk, A |
| 2011 | Computing resources sensitive parallelization of neural neworks for large scale diabetes data modelling, diagnosis and prediction | Qi, Hao |
| 2013 | Data quality: Some comments on the NASA software defect datasets | Shepperd, M; Song, Q; Sun, Z; Mair, C |
| 2016 | A data-driven framework for investigating customer retention | Mgbemena, Chidozie Simon |
| 2025 | Data-driven modelling of nitrous oxide production in wastewater treatment processes using neural ordinary differential equations | Huang, Xiangjun |
| 2017 | Deep learning based facial expression recognition and its applications | Jan, Asim |
