daniel wiechmann

daniel wiechmann

Universiteit van Amsterdam

H-index: 14

Europe-Netherlands

About daniel wiechmann

daniel wiechmann, With an exceptional h-index of 14 and a recent h-index of 13 (since 2020), a distinguished researcher at Universiteit van Amsterdam, specializes in the field of language learning, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

SMHD-GER: A large-scale benchmark dataset for automatic mental health detection from social media in German

MANTIS at# SMM4H 2023: Leveraging Hybrid and Ensemble Models for Detection of Social Anxiety Disorder on Reddit

Toward explainable AI (XAI) for mental health detection based on language behavior

What to fuse and how to fuse: Exploring emotion and personality fusion strategies for explainable mental disorder detection

The best of both worlds: combining engineered features with transformers for improved mental health prediction from Reddit posts

MANTIS at SMM4H’2022: pre-trained language models meet a suite of psycholinguistic features for the detection of self-reported chronic stress

(Psycho-) Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification

SPADE: A Big Five-mturk dataset of argumentative speech enriched with socio-demographics for personality detection

daniel wiechmann Information

University

Position

___

Citations(all)

745

Citations(since 2020)

451

Cited By

432

hIndex(all)

14

hIndex(since 2020)

13

i10Index(all)

23

i10Index(since 2020)

18

Email

University Profile Page

Universiteit van Amsterdam

Google Scholar

View Google Scholar Profile

daniel wiechmann Skills & Research Interests

language learning

machine learning

Top articles of daniel wiechmann

Title

Journal

Author(s)

Publication Date

SMHD-GER: A large-scale benchmark dataset for automatic mental health detection from social media in German

Sourabh Zanwar

Daniel Wiechmann

Yu Qiao

Elma Kerz

2023/5

MANTIS at# SMM4H 2023: Leveraging Hybrid and Ensemble Models for Detection of Social Anxiety Disorder on Reddit

medRxiv

Sourabh Zanwar

Daniel Wiechmann

Yu Qiao

Elma Kerz

2023

Toward explainable AI (XAI) for mental health detection based on language behavior

Frontiers in psychiatry

Elma Kerz

Sourabh Zanwar

Yu Qiao

Daniel Wiechmann

2023/12/7

What to fuse and how to fuse: Exploring emotion and personality fusion strategies for explainable mental disorder detection

Sourabh Zanwar

Xiaofei Li

Daniel Wiechmann

Yu Qiao

Elma Kerz

2023/7

The best of both worlds: combining engineered features with transformers for improved mental health prediction from Reddit posts

Sourabh Zanwar

Daniel Wiechmann

Yu Qiao

Elma Kerz

2022/10

MANTIS at SMM4H’2022: pre-trained language models meet a suite of psycholinguistic features for the detection of self-reported chronic stress

Sourabh Zanwar

Daniel Wiechmann

Yu Qiao

Elma Kerz

2022/10

(Psycho-) Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification

arXiv preprint arXiv:2212.09848

Yu Qiao

Xiaofei Li

Daniel Wiechmann

Elma Kerz

2022/12/19

SPADE: A Big Five-mturk dataset of argumentative speech enriched with socio-demographics for personality detection

Elma Kerz

Yu Qiao

Sourabh Zanwar

Daniel Wiechmann

2022/6

Exploring Hybrid and Ensemble Models for Multiclass Prediction of Mental Health Status on Social Media

arXiv preprint arXiv:2212.09839

Sourabh Zanwar

Daniel Wiechmann

Yu Qiao

Elma Kerz

2022/12/19

Pushing on personality detection from verbal behavior: A transformer meets text contours of psycholinguistic features

arXiv preprint arXiv:2204.04629

Elma Kerz

Yu Qiao

Sourabh Zanwar

Daniel Wiechmann

2022/4/10

MANTIS at TSAR-2022 shared task: Improved unsupervised lexical simplification with pretrained encoders

arXiv preprint arXiv:2212.09855

Xiaofei Li

Daniel Wiechmann

Yu Qiao

Elma Kerz

2022/12/19

Measuring the impact of (psycho-) linguistic and readability features and their spill over effects on the prediction of eye movement patterns

arXiv preprint arXiv:2203.08085

Daniel Wiechmann

Yu Qiao

Elma Kerz

Justus Mattern

2022/3/15

Improving the generalizability of text-based emotion detection by leveraging transformers with psycholinguistic features

arXiv preprint arXiv:2212.09465

Sourabh Zanwar

Daniel Wiechmann

Yu Qiao

Elma Kerz

2022/12/19

Prediction of Listener Perception of Argumentative Speech in a Crowdsourced Dataset Using (Psycho-) Linguistic and Fluency Features

arXiv preprint arXiv:2111.07130

Yu Qiao

Sourabh Zanwar

Rishab Bhattacharyya

Daniel Wiechmann

Wei Zhou

...

2021/11/13

FANG-COVID: A new large-scale benchmark dataset for fake news detection in German

Justus Mattern

Yu Qiao

Elma Kerz

Daniel Wiechmann

Markus Strohmaier

2021/11

Alzheimer's Disease Detection from Spontaneous Speech Through Combining Linguistic Complexity and (Dis) Fluency Features with Pretrained Language Models

arXiv preprint arXiv:2106.08689

Yu Qiao

Xuefeng Yin

Daniel Wiechmann

Elma Kerz

2021/6/16

Automated classification of written proficiency levels on the CEFR-scale through complexity contours and RNNs

Elma Kerz

Daniel Wiechmann

Yu Qiao

Emma Tseng

Marcus Ströbel

2021/4

Language that captivates the audience: predicting affective ratings of ted talks in a multi-label classification task

Elma Kerz

Yu Qiao

Daniel Wiechmann

2021/4

Understanding the dynamics of second language writing through keystroke logging and complexity contours

Elma Kerz

Fabio Pruneri

Daniel Wiechmann

Yu Qiao

Marcus Ströbel

2020/5

Individual differences

Journal of Individual Differences

André Beacuducel

Philip J Corr

Sam Gosling

Jürgen Hennig

Philipp Y Herzberg

...

2016

See List of Professors in daniel wiechmann University(Universiteit van Amsterdam)

Co-Authors

H-index: 78
Morten H. Christiansen

Morten H. Christiansen

Cornell University

H-index: 50
Tim Florian Jaeger

Tim Florian Jaeger

University of Rochester

H-index: 23
Tobias Meisen

Tobias Meisen

Bergische Universität Wuppertal

academic-engine