Qi Dai
According to our database1,
Qi Dai
authored at least 62 papers
between 2006 and 2021.
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Bibliography
2021
Mapping Essential Urban Land Use Categories in Beijing with a Fast Area of Interest (AOI)-Based Method.
Remote. Sens., 2021
iMPTCE-Hnetwork: A Multilabel Classifier for Identifying Metabolic Pathway Types of Chemicals and Enzymes with a Heterogeneous Network.
Comput. Math. Methods Medicine, 2021
A Novel Meibomian Gland Morphology Analytic System Based on a Convolutional Neural Network.
IEEE Access, 2021
2020
Improving the accuracy and speed of choice in human-computer interactions via a subliminal priming effect.
Int. J. Mechatronics Autom., 2020
Towards a Systematic Computational Framework for Modeling Multi-Agent Decision-Making at Micro Level for Smart Vehicles in a Smart World.
CoRR, 2020
Prediction of High-Risk Types of Human Papillomaviruses Using Reduced Amino Acid Modes.
Comput. Math. Methods Medicine, 2020
2SigFinder: the combined use of small-scale and large-scale statistical testing for genomic island detection from a single genome.
BMC Bioinform., 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
RaaMLab: A MATLAB toolbox that generates amino acid groups and reduced amino acid modes.
Biosyst., 2019
Improving the Learning of Multi-column Convolutional Neural Network for Crowd Counting.
Proceedings of the 27th ACM International Conference on Multimedia, 2019
Developing Customizable Cancer Information Extraction Modules for Pathology Reports Using CLAMP.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
基于粒计算的极限学习机模型设计与应用 (Design and Application of Extreme Learning Machine Model Based on Granular Computing).
计算机科学, 2018
Similarity/dissimilarity analysis of protein structures based on Markov random fields.
Comput. Biol. Chem., 2018
Briefings Bioinform., 2018
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the 5th International Conference on Behavioral, 2018
2017
Subcellular localization prediction of apoptosis proteins based on evolutionary information and support vector machine.
Artif. Intell. Medicine, 2017
2016
Neurocomputing, 2016
A multiple information fusion method for predicting subcellular locations of two different types of bacterial protein simultaneously.
Biosyst., 2016
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016
2015
IEEE Trans. Image Process., 2015
Validating drug repurposing signals using electronic health records: a case study of metformin associated with reduced cancer mortality.
J. Am. Medical Informatics Assoc., 2015
Int. J. Inf. Syst. Soc. Chang., 2015
Prediction of High-Risk Types of Human Papillomaviruses Using Statistical Model of Protein "Sequence Space".
Comput. Math. Methods Medicine, 2015
Comput. Biol. Medicine, 2015
Fudan-Huawei at MediaEval 2015: Detecting Violent Scenes and Affective Impact in Movies with Deep Learning.
Proceedings of the Working Notes Proceedings of the MediaEval 2015 Workshop, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
2014
Proceedings of the Working Notes Proceedings of the MediaEval 2014 Workshop, 2014
Challenge Huawei challenge: Fusing multimodal features with deep neural networks for Mobile Video Annotation.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2014
Proceedings of the AMIA 2014, 2014
2013
Comparison study on statistical features of predicted secondary structures for protein structural class prediction: From content to position.
BMC Bioinform., 2013
Beauty is here: evaluating aesthetics in videos using multimodal features and free training data.
Proceedings of the ACM Multimedia Conference, 2013
Fudan at MediaEval 2013: Violent Scenes Detection Using Motion Features and Part-Level Attributes.
Proceedings of the MediaEval 2013 Multimedia Benchmark Workshop, 2013
2012
IEEE Trans. Image Process., 2012
Extracting epidemiologic exposure and outcome terms from literature using machine learning approaches.
Int. J. Data Min. Bioinform., 2012
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012
The Shanghai-Hongkong Team at MediaEval2012: Violent Scene Detection Using Trajectory-based Features.
Proceedings of the Working Notes Proceedings of the MediaEval 2012 Workshop, 2012
Proceedings of the 6th IEEE International Conference on Systems Biology, 2012
Proceedings of the Computer Vision - ECCV 2012, 2012
Electronic health record data suggests metformin improves cancer survival: A new model for drug repurposing studies.
Proceedings of the AMIA 2012, 2012
A Study of Transportability of an Existing Smoking Status Detection Module across Institutions.
Proceedings of the AMIA 2012, 2012
2011
Improving protein structural class prediction using novel combined sequence information and predicted secondary structural features.
J. Comput. Chem., 2011
J. Biomed. Informatics, 2011
2010
Similarity/dissimilarity studies of protein sequences based on a new 2D graphical representation.
J. Comput. Chem., 2010
J. Comput. Chem., 2010
2009
CoRR, 2009
2008
Analysis of similarity/dissimilarity of DNA sequences based on a class of 2D graphical representation.
J. Comput. Chem., 2008
J. Comput. Chem., 2008
Comparison study on k-word statistical measures for protein: From sequence to 'sequence space'.
BMC Bioinform., 2008
Markov model plus <i>k</i>-word distributions: a synergy that produces novel statistical measures for sequence comparison.
Bioinform., 2008
2007
2006
Numerical characterization of DNA sequences based on the k-step Markov chain transition probability.
J. Comput. Chem., 2006
Proceedings of the 2006 Joint Conference on Information Sciences, 2006