Johannes Schneider | DeepAI

AI Chat

Featured Co-authors

Giovanni Apruzzese
15 publications
Christian Meske
8 publications
Kostadin Damevski
7 publications
Pavel Laskov
6 publications
Frank Breitinger
6 publications
Michail Vlachos
5 publications
Michalis Vlachos
5 publications
Jan Vom Brocke
3 publications
Joshua Handali
2 publications
Marcus Basalla
2 publications
Avi Bernstein
1 publication

∙ 07/23/2023

Implementing Smart Contracts: The case of NFT-rental with pay-per-like

Non-fungible tokens(NFTs) are on the rise. They can represent artworks e...

0 Alfred Sopi, et al. ∙

∙ 04/30/2023

SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection

Machine Learning (ML) has become a valuable asset to solve many real-wor...

0 Giovanni Apruzzese, et al. ∙

∙ 02/06/2023

Efficient and Flexible Topic Modeling using Pretrained Embeddings and Bag of Sentences

Pre-trained language models have led to a new state-of-the-art in many N...

0 Johannes Schneider, et al. ∙

∙ 02/01/2023

A Survey of Deep Learning: From Activations to Transformers

Deep learning has made tremendous progress in the last decade. A key suc...

0 Johannes Schneider, et al. ∙

∙ 12/17/2022

Foundation models in brief: A historical, socio-technical focus

Foundation models can be disruptive for future AI development by scaling...

0 Johannes Schneider, et al. ∙

∙ 03/18/2022

Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike

We propose to generate adversarial samples by modifying activations of u...

0 Johannes Schneider, et al. ∙

∙ 03/07/2022

Explaining Classifiers by Constructing Familiar Concepts

Interpreting a large number of neurons in deep learning is difficult. Ou...

55 Johannes Schneider, et al. ∙

∙ 02/16/2022

The learning phases in NN: From Fitting the Majority to Fitting a Few

The learning dynamics of deep neural networks are subject to controversy...

34 Johannes Schneider, et al. ∙

∙ 01/04/2022

Mechanism Design with Informational Punishment

We introduce informational punishment to the design of mechanisms that c...

0 Benjamin Balzer, et al. ∙

∙ 01/02/2022

Towards Trustworthy AutoGrading of Short, Multi-lingual, Multi-type Answers

Autograding short textual answers has become much more feasible due to t...

0 Johannes Schneider, et al. ∙

∙ 06/10/2021

Domain Transformer: Predicting Samples of Unseen, Future Domains

The data distribution commonly evolves over time leading to problems suc...

0 Johannes Schneider, et al. ∙

∙ 12/03/2020

Creativity of Deep Learning: Conceptualization and Assessment

While the potential of deep learning(DL) for automating simple tasks is ...

0 Johannes Schneider, et al. ∙

∙ 11/27/2020

Reflective-Net: Learning from Explanations

Humans possess a remarkable capability to make fast, intuitive decisions...

0 Johannes Schneider, et al. ∙

∙ 11/20/2020

AI Governance for Businesses

Artificial Intelligence (AI) governance regulates the exercise of author...

0 Johannes Schneider, et al. ∙

∙ 09/19/2020

Humans learn too: Better Human-AI Interaction using Optimized Human Inputs

Humans rely more and more on systems with AI components. The AI communit...

0 Johannes Schneider, et al. ∙

∙ 05/27/2020

AI Forensics: Did the Artificial Intelligence System Do It? Why?

In an increasingly autonomous manner AI systems make decisions impacting...

0 Johannes Schneider, et al. ∙

∙ 05/27/2020

Explaining Neural Networks by Decoding Layer Activations

To derive explanations for deep learning models, ie. classifiers, we pro...

103 Johannes Schneider, et al. ∙

∙ 03/09/2020

Correlated Initialization for Correlated Data

Spatial data exhibits the property that nearby points are correlated. Th...

0 Johannes Schneider, et al. ∙

∙ 01/21/2020

Deceptive AI Explanations: Creation and Detection

Artificial intelligence comes with great opportunities and but also grea...

0 Johannes Schneider, et al. ∙

∙ 12/08/2019

AI, how can humans communicate better with you?

Artificial intelligence(AI) systems and humans communicate more and more...

13 Johannes Schneider, et al. ∙

∙ 09/06/2019

Mass Personalization of Deep Learning

We discuss training techniques, objectives and metrics toward mass perso...

0 Johannes Schneider, et al. ∙

∙ 05/25/2019

Locality-Promoting Representation Learning

This work investigates fundamental questions related to locating and def...

0 Johannes Schneider, et al. ∙

∙ 10/07/2017

Topic Modeling based on Keywords and Context

Current topic models often suffer from discovering topics not matching h...

0 Johannes Schneider, et al. ∙

∙ 12/10/2016

Detecting Plagiarism based on the Creation Process

All methodologies for detecting plagiarism to date have focused on the f...

0 Johannes Schneider, et al. ∙

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