Search Results for author: Wolfgang Nejdl

Found 21 papers, 9 papers with code

GeneMask: Fast Pretraining of Gene Sequences to Enable Few-Shot Learning

1 code implementation29 Jul 2023 Soumyadeep Roy, Jonas Wallat, Sowmya S Sundaram, Wolfgang Nejdl, Niloy Ganguly

Large-scale language models such as DNABert and LOGO aim to learn optimal gene representations and are trained on the entire Human Reference Genome.

Few-Shot Learning Language Modelling +1

IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers

2 code implementations11 May 2023 Jingge Xiao, Leonie Basso, Wolfgang Nejdl, Niloy Ganguly, Sandipan Sikdar

Continuous-time models such as Neural ODEs and Neural Flows have shown promising results in analyzing irregularly sampled time series frequently encountered in electronic health records.

Time Series

A Review of the Role of Causality in Developing Trustworthy AI Systems

1 code implementation14 Feb 2023 Niloy Ganguly, Dren Fazlija, Maryam Badar, Marco Fisichella, Sandipan Sikdar, Johanna Schrader, Jonas Wallat, Koustav Rudra, Manolis Koubarakis, Gourab K. Patro, Wadhah Zai El Amri, Wolfgang Nejdl

This review aims to provide the reader with an overview of causal methods that have been developed to improve the trustworthiness of AI models.

Discrimination and Class Imbalance Aware Online Naive Bayes

no code implementations9 Nov 2022 Maryam Badar, Marco Fisichella, Vasileios Iosifidis, Wolfgang Nejdl

In this context, we propose a novel adaptation of Na\"ive Bayes to mitigate discrimination embedded in the streams while maintaining high predictive performance for both the majority and minority classes.

Decision Making Fairness

A Multi-task Model for Sentiment Aided Stance Detection of Climate Change Tweets

1 code implementation7 Nov 2022 Apoorva Upadhyaya, Marco Fisichella, Wolfgang Nejdl

In this paper, we propose a framework that helps identify denier statements on Twitter and thus classifies the stance of the tweet into one of the two attitudes towards climate change (denier/believer).

Sentiment Analysis Stance Detection

Efficient ECG-based Atrial Fibrillation Detection via Parameterised Hypercomplex Neural Networks

1 code implementation27 Oct 2022 Leonie Basso, Zhao Ren, Wolfgang Nejdl

Atrial fibrillation (AF) is the most common cardiac arrhythmia and associated with a high risk for serious conditions like stroke.

Atrial Fibrillation Detection

Rites de Passage: Elucidating Displacement to Emplacement of Refugees on Twitter

no code implementations30 May 2022 Aparup Khatua, Wolfgang Nejdl

We collected 0. 23 million multimodal tweets from April 2020 to March 2021 for testing this proposed frame-work.

Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis

1 code implementation30 Mar 2022 Yi Chang, Zhao Ren, Thanh Tam Nguyen, Wolfgang Nejdl, Björn W. Schuller

Respiratory sound classification is an important tool for remote screening of respiratory-related diseases such as pneumonia, asthma, and COVID-19.

Sound Classification

Unraveling Social Perceptions & Behaviors towards Migrants on Twitter

no code implementations4 Dec 2021 Aparup Khatua, Wolfgang Nejdl

We draw insights from the social psychology literature to identify two facets of Twitter deliberations about migrants, i. e., perceptions about migrants and behaviors towards mi-grants.

Hate Speech Detection

FARF: A Fair and Adaptive Random Forests Classifier

no code implementations17 Aug 2021 Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl

This algorithm, called FARF (Fair and Adaptive Random Forests), is based on using online component classifiers and updating them according to the current distribution, that also accounts for fairness and a single hyperparameters that alters fairness-accuracy balance.

Decision Making Fairness

Data augmentation for dealing with low sampling rates in NILM

no code implementations30 Mar 2021 Tai Le Quy, Sergej Zerr, Eirini Ntoutsi, Wolfgang Nejdl

An important step towards improving the performance of these energy disaggregation methods is to improve the quality of the data sets.

Data Augmentation

Membership Inference Attack on Graph Neural Networks

1 code implementation17 Jan 2021 Iyiola E. Olatunji, Wolfgang Nejdl, Megha Khosla

While choosing the simplest possible attack model that utilizes the posteriors of the trained model (black-box access), we thoroughly analyze the properties of GNNs and the datasets which dictate the differences in their robustness towards MI attack.

Graph Classification Inference Attack +3

Node Representation Learning for Directed Graphs

no code implementations22 Oct 2018 Megha Khosla, Jurek Leonhardt, Wolfgang Nejdl, Avishek Anand

We also unearth the limitations of evaluations on directed graphs in previous works and propose a clear strategy for evaluating link prediction and graph reconstruction in directed graphs.

General Classification Graph Reconstruction +4

A Trio Neural Model for Dynamic Entity Relatedness Ranking

no code implementations CONLL 2018 Tu Nguyen, Tuan Tran, Wolfgang Nejdl

Measuring entity relatedness is a fundamental task for many natural language processing and information retrieval applications.

Information Retrieval Retrieval

Multiple Models for Recommending Temporal Aspects of Entities

no code implementations21 Mar 2018 Tu Nguyen, Nattiya Kanhabua, Wolfgang Nejdl

Entity aspect recommendation is an emerging task in semantic search that helps users discover serendipitous and prominent information with respect to an entity, of which salience (e. g., popularity) is the most important factor in previous work.

Finding News Citations for Wikipedia

no code implementations30 Mar 2017 Besnik Fetahu, Katja Markert, Wolfgang Nejdl, Avishek Anand

An important editing policy in Wikipedia is to provide citations for added statements in Wikipedia pages, where statements can be arbitrary pieces of text, ranging from a sentence to a paragraph.

Sentence

Why is it Difficult to Detect Sudden and Unexpected Epidemic Outbreaks in Twitter?

no code implementations10 Nov 2016 Avaré Stewart, Sara Romano, Nattiya Kanhabua, Sergio Di Martino, Wolf Siberski, Antonino Mazzeo, Wolfgang Nejdl, Ernesto Diaz-Aviles

Many studies have shown that this also holds for the medical domain, where Twitter is considered a viable tool for public health officials to sift through relevant information for the early detection, management, and control of epidemic outbreaks.

Management Time Series Analysis

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