no code implementations • 26 Apr 2024 • Hailay Teklehaymanot, Dren Fazlija, Niloy Ganguly, Gourab K. Patro, Wolfgang Nejdl
The absence of explicitly tailored, accessible annotated datasets for educational purposes presents a notable obstacle for NLP tasks in languages with limited resources. This study initially explores the feasibility of using machine translation (MT) to convert an existing dataset into a Tigrinya dataset in SQuAD format.
1 code implementation • 20 Apr 2024 • Soumyadeep Roy, Aparup Khatua, Fatemeh Ghoochani, Uwe Hadler, Wolfgang Nejdl, Niloy Ganguly
In our annotated dataset, a substantial portion of GPT-4's incorrect responses is categorized as a "Reasonable response by GPT-4," by annotators.
no code implementations • 19 Apr 2024 • Ali Rasekh, Sepehr Kazemi Ranjbar, Milad Heidari, Wolfgang Nejdl
However, their black-box nature and lack of explainability in predictions make them less trustworthy in critical domains.
1 code implementation • 29 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.
2 code implementations • 11 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.
1 code implementation • 14 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.
no code implementations • 9 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.
1 code implementation • 7 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).
1 code implementation • 27 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.
1 code implementation • 16 Oct 2022 • Betty van Aken, Jens-Michalis Papaioannou, Marcel G. Naik, Georgios Eleftheriadis, Wolfgang Nejdl, Felix A. Gers, Alexander Löser
The use of deep neural models for diagnosis prediction from clinical text has shown promising results.
no code implementations • 30 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.
1 code implementation • 30 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.
no code implementations • 4 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.
no code implementations • 17 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.
1 code implementation • 29 May 2021 • Wei Wu, Bin Li, Chuan Luo, Wolfgang Nejdl
Networks are ubiquitous in the real world.
no code implementations • 30 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.
1 code implementation • 17 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.
no code implementations • 22 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.
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.
no code implementations • 21 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.
no code implementations • 30 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.
no code implementations • 28 Jan 2017 • Nattiya Kanhabua, Philipp Kemkes, Wolfgang Nejdl, Tu Ngoc Nguyen, Felipe Reis, Nam Khanh Tran
Significant parts of cultural heritage are produced on the web during the last decades.
no code implementations • 10 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.
no code implementations • 16 Jul 2014 • Bernat Coma-Puig, Ernesto Diaz-Aviles, Wolfgang Nejdl
Out of thousands of names to choose from, picking the right one for your child is a daunting task.