161 citations · 439 across the 10 of their papers we have counts for
10 papers
Vesicoureteral Reflux Detection with Reliable Probabilistic Outputs
Harris Papadopoulos, George Anastassopoulos
Vesicoureteral Reflux (VUR) is a pediatric disorder in which urine flows backwards from the bladder to the upper urinary tract. Its detection is of great importance as it increases…
Android Malware Detection with Unbiased Confidence Guarantees
Harris Papadopoulos, Nestoras Georgiou, Charalambos Eliades +1
The impressive growth of smartphone devices in combination with the rising ubiquity of using mobile platforms for sensitive applications such as Internet banking, have triggered a…
Reliable Probabilistic Classification with Neural Networks
Harris Papadopoulos
Venn Prediction (VP) is a new machine learning framework for producing well-calibrated probabilistic predictions. In particular it provides well-calibrated lower and upper bounds f…
Reliable Prediction Intervals with Regression Neural Networks
Harris Papadopoulos, Haris Haralambous
This paper proposes an extension to conventional regression Neural Networks (NNs) for replacing the point predictions they produce with prediction intervals that satisfy a required…
Well-calibrated Confidence Measures for Multi-label Text Classification with a Large Number of Labels
Lysimachos Maltoudoglou, Andreas Paisios, Ladislav Lenc +3
We extend our previous work on Inductive Conformal Prediction (ICP) for multi-label text classification and present a novel approach for addressing the computational inefficiency o…
A Cross-Conformal Predictor for Multi-label Classification
Harris Papadopoulos
Unlike the typical classification setting where each instance is associated with a single class, in multi-label learning each instance is associated with multiple classes simultane…
Regression Conformal Prediction with Nearest Neighbours
Harris Papadopoulos, Vladimir Vovk, Alex Gammerman
In this paper we apply Conformal Prediction (CP) to the k-Nearest Neighbours Regression (k-NNR) algorithm and propose ways of extending the typical nonconformity measure used for r…
Feature Subset Selection for Software Cost Modelling and Estimation
Efi Papatheocharous, Harris Papadopoulos, Andreas S. Andreou
Feature selection has been recently used in the area of software engineering for improving the accuracy and robustness of software cost models. The idea behind selecting the most i…
A GP-MOEA/D Approach for Modelling Total Electron Content over Cyprus
Andreas Konstantinidis, Haris Haralambous, Alexandros Agapitos +1
Vertical Total Electron Content (vTEC) is an ionospheric characteristic used to derive the signal delay imposed by the ionosphere on near-vertical trans-ionospheric links. The majo…
Software Effort Estimation with Ridge Regression and Evolutionary Attribute Selection
Efi Papatheocharous, Harris Papadopoulos, Andreas S. Andreou
Software cost estimation is one of the prerequisite managerial activities carried out at the software development initiation stages and also repeated throughout the whole software…