77 citations · 108 across the 8 of their papers we have counts for
8 papers
On Imbalanced Regression with Hoeffding Trees
Pantia-Marina Alchirch, Dimitrios I. Diochnos
Many real-world applications generate continuous data streams for regression. Hoeffding trees and their variants have a long-standing tradition due to their effectiveness, either a…
A Review of Pseudo-Labeling for Computer Vision
Patrick Kage, Jay C. Rothenberger, Pavlos Andreadis +1
Deep neural models have achieved state of the art performance on a wide range of problems in computer science, especially in computer vision. However, deep neural networks often re…
Meta Co-Training: Two Views are Better than One
Jay C. Rothenberger, Dimitrios I. Diochnos
In many critical computer vision scenarios unlabeled data is plentiful, but labels are scarce and difficult to obtain. As a result, semi-supervised learning which leverages unlabel…
Lower Bounds for Adversarially Robust PAC Learning
Dimitrios I. Diochnos, Saeed Mahloujifar, Mohammad Mahmoody
In this work, we initiate a formal study of probably approximately correct (PAC) learning under evasion attacks, where the adversary's goal is to \emph{misclassify} the adversarial…
Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution
Dimitrios I. Diochnos, Saeed Mahloujifar, Mohammad Mahmoody
We study adversarial perturbations when the instances are uniformly distributed over . We study both "inherent" bounds that apply to any problem and any classifier for s…
The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure
Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody
Many modern machine learning classifiers are shown to be vulnerable to adversarial perturbations of the instances. Despite a massive amount of work focusing on making classifiers r…
Commonsense Reasoning and Large Network Analysis: A Computational Study of ConceptNet 4
Dimitrios I. Diochnos
In this report a computational study of ConceptNet 4 is performed using tools from the field of network analysis. Part I describes the process of extracting the data from the SQL d…
On the asymptotic and practical complexity of solving bivariate systems over the reals
Dimitrios I. Diochnos, Ioannis Z. Emiris, Elias P. Tsigaridas
This paper is concerned with exact real solving of well-constrained, bivariate polynomial systems. The main problem is to isolate all common real roots in rational rectangles, and…