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IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|November 11, 2010
Reliable confidence measures for medical diagnosis with evolutionary algorithmsAntonis Lambrou, Harris Papadopoulos, Alex Gammerman
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 17, 2011
Determining confidence of predicted interactions between HIV-1 and human proteins using conformal methodIlia Nouretdinov, Alex Gammerman, Yanjun Qi, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|June 24, 2024
Guaranteed Coverage Prediction Intervals With Gaussian Process RegressionHarris Papadopoulos
International Journal of Neural Systems|September 28, 2005
Qualified predictions for microarray and proteomics pattern diagnostics with confidence machinesTony Bellotti, Zhiyuan Luo, Alex Gammerman, et al.
Statistical Applications in Genetics and Molecular Biology|August 5, 2008
Clinical mass spectrometry proteomic diagnosis by conformal predictorsAlex Gammerman, Ilia Nouretdinov, Brian Burford, et al.
Neural Networks : the Official Journal of the International Neural Network Society|July 2, 2011
Reliable prediction intervals with regression neural networksHarris Papadopoulos, Haris Haralambous
Scientific Data|March 20, 2025
An ecoacoustic dataset collected on the island of Cyprus in the Mediterranean Basin biodiversity hotspotChristos Mammides, Christina Ieronymidou, Harris Papadopoulos
Breast Cancer Research : BCR|March 10, 2011
Autoantibodies to aberrantly glycosylated MUC1 in early stage breast cancer are associated with a better prognosisOla Blixt, Deanna Bueti, Brian Burford, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|September 17, 2008
Predicting clinical outcome in patients diagnosed with synchronous ovarian and endometrial cancerSusan J Ramus, Karim Elmasry, Zhiyuan Luo, et al.
Waste Management (New York, N.Y.)|June 3, 2023
Real-time construction demolition waste detection using state-of-the-art deep learning methods; single-stage vs two-stage detectorsDemetris Demetriou, Pavlos Mavromatidis, Ponsian M Robert, et al.
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