Andreas Bender | DeepAI

DeepAI AI Chat

Featured Co-authors

Bernd Bischl
93 publications
José Miguel Hernández-Lobato
91 publications
Richard E. Turner
75 publications
Christian Wachinger
43 publications
David Rügamer
37 publications
Franz J Király
24 publications
Stephen Bonner
21 publications
Sebastian Pölsterl
17 publications
Christian L. Müller
15 publications
Sebastian Vollmer
12 publications
Fabian Scheipl
12 publications

∙ 05/24/2023

Deep Learning for Survival Analysis: A Review

The influx of deep learning (DL) techniques into the field of survival a...

0 Simon Wiegrebe, et al. ∙

∙ 12/01/2022

Re-evaluating sample efficiency in de novo molecule generation

De novo molecule generation can suffer from data inefficiency; requiring...

0 Morgan Thomas, et al. ∙

∙ 10/17/2022

Conditional Neural Processes for Molecules

Neural processes (NPs) are models for transfer learning with properties ...

0 Miguel Garcia-Ortegon, et al. ∙

∙ 05/25/2022

Factorized Structured Regression for Large-Scale Varying Coefficient Models

Recommender Systems (RS) pervade many aspects of our everyday digital li...

0 David Rügamer, et al. ∙

∙ 02/12/2022

DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis

Survival analysis (SA) is an active field of research that is concerned ...

0 Philipp Kopper, et al. ∙

∙ 12/09/2021

Evaluation of survival distribution predictions with discrimination measures

In this paper we consider how to evaluate survival distribution predicti...

0 Raphael Sonabend, et al. ∙

∙ 10/29/2021

DOCKSTRING: easy molecular docking yields better benchmarks for ligand design

The field of machine learning for drug discovery is witnessing an explos...

0 Miguel Garcia-Ortegon, et al. ∙

∙ 04/28/2021

Mundus vult decipi, ergo decipiatur: Visual Communication of Uncertainty in Election Polls

Election poll reporting often focuses on mean values and only subordinat...

0 Alexander Bauer, et al. ∙

∙ 02/19/2021

A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective

Drug discovery and development is an extremely complex process, with hig...

0 Stephen Bonner, et al. ∙

∙ 11/11/2020

Semi-Structured Deep Piecewise Exponential Models

We propose a versatile framework for survival analysis that combines adv...

12 Philipp Kopper, et al. ∙

∙ 08/18/2020

mlr3proba: An R Package for Machine Learning in Survival Analysis

As machine learning has become increasingly popular over the last few de...

0 Raphael Sonabend, et al. ∙

∙ 06/27/2020

A General Machine Learning Framework for Survival Analysis

The modeling of time-to-event data, also known as survival analysis, req...

22 Andreas Bender, et al. ∙

∙ 08/09/2019

Concepts and Applications of Conformal Prediction in Computational Drug Discovery

Estimating the reliability of individual predictions is key to increase ...

0 Isidro Cortes-Ciriano, et al. ∙

∙ 04/12/2019

Reliable Prediction Errors for Deep Neural Networks Using Test-Time Dropout

While the use of deep learning in drug discovery is gaining increasing a...

12 Isidro Cortes-Ciriano, et al. ∙

∙ 11/22/2018

KekuleScope: improved prediction of cancer cell line sensitivity using convolutional neural networks trained on compound images

The application of convolutional neural networks (ConvNets) to harness h...

0 Isidro Cortes-Ciriano, et al. ∙

∙ 09/24/2018

Deep Confidence: A Computationally Efficient Framework for Calculating Reliable Errors for Deep Neural Networks

Deep learning architectures have proved versatile in a number of drug di...

2 Isidro Cortes-Ciriano, et al. ∙

∙ 07/15/2018

KOALA: A new paradigm for election coverage

Common election poll reporting is often misleading as sample uncertainty...

0 Alexander Bauer, et al. ∙

∙ 06/04/2018

pammtools: Piece-wise exponential Additive Mixed Modeling tools

This article introduces the pammtools package, which facilitates data tr...

0 Andreas Bender, et al. ∙

∙ 11/23/2014

Target Fishing: A Single-Label or Multi-Label Problem?

According to Cobanoglu et al and Murphy, it is now widely acknowledged t...

0 Avid M. Afzal, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world