TUdatalib : Browsing 20 Fachbereich Informatik by Submit Date

Exploring Jiu-Jitsu Argumentation for Writing Peer Review Rebuttals

Purkayastha, Sukannya; Lauscher, Anne; Gurevych, Iryna (2023)

Dataset on Citizens' Preparedness, Self-Organization, and Influence of Infrastructure Failures during the European Flood of 2021

Haesler, Steffen; Kaufhold, Marc-André; Thiessen, Nadja; Leštáková, Michaela (2022-11)

Pose Prediction for Mobile Ground Robots Evaluation Dataset

Oehler, Martin; Daun, Kevin; Marius, Schnaubelt; von Stryk, Oskar (2023)

Hector Enrich 2023 Radiation Mapping Dataset

Daun, Kevin; Süß, Jonas; Volz, Martin; von Stryk, Oskar (2023)

DRZ Living Lab Tracked Robot SLAM Dataset

Daun, Kevin; Marius, Schnaubelt; von Stryk, Oskar (2021)

Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future

Klie, Jan-Christoph; Webber, Bonnie; Gurevych, Iryna (2023-03)

Lessons Learned from a Citizen Science Project for Natural Language Processing

Klie, Jan-Christoph; Lee, Ji-Ung; Stowe, Kevin; Sahin, Gözde Gül; Moosavi, Nafise Sadat; Bates, Luke; Dominic, Petrak; Eckart de Castilho, Richard; Gurevych, Iryna (2023-05)

Analyzing Dataset Annotation Quality Management in the Wild

Klie, Jan-Christoph; Eckart de Castilho, Richard; Gurevych, Iryna (2023-09-07)

On emergence

Lu, Sheng; Bigoulaeva, Irina; Sachdeva, Rachneet; Tayyar Madabushi, Harish; Gurevych, Iryna (2023-08)

Personalised Cookie Banner Evaluation Data Set and Statistical Analysis

Biselli, Tom; Utz, Laura; Reuter, Christian (2023)

Self-supervised Augmentation Consistency for Adapting Semantic Segmentation

Araslanov, Nikita; Roth, Stefan (2021-06)

Dense Unsupervised Learning for Video Segmentation

Araslanov, Nikita; Schaub-Meyer, Simone; Roth, Stefan (2021-12)

Fast Axiomatic Attribution for Neural Networks

Hesse, Robin; Schaub-Meyer, Simone; Roth, Stefan (2021-12)

Analysis of the Dataset for the Terms Novice Programmers Use to Describe Code Snippets in Java

Esche, Svana (2023)

Dataset for the Terms Novice Programmers Use to Describe Code Snippets in Java

Esche, Svana (2023)

Representative German Dataset on Citizens' Attitudes and Perceptions of Social Media Use in Emergencies

Reuter, Christian; Kaufhold, Marc-André; Biselli, Tom; Pleil, Helene (2021)

ArgMining 2023 Shared Task Auxiliary Data NLPeer

Dycke, Nils; Kuznetsov, Ilia; Gurevych, Iryna (2023-05)

Example Circuits in Bristol Format and HyCC Circuit Format

Khayata, Nora (2023)

GMD 2022 CUAS-MPI on HHLR Scaling Profiles

Fischler, Yannic (2022-12-09)

NLPEER: A Unified Resource for the Computational Study of Peer Review

Dycke, Nils; Kuznetsov, Ilia; Gurevych, Iryna (2022-11-08)

Browsing 20 Fachbereich Informatik by Submit Date

Exploring Jiu-Jitsu Argumentation for Writing Peer Review Rebuttals ﻿

Dataset on Citizens' Preparedness, Self-Organization, and Influence of Infrastructure Failures during the European Flood of 2021 ﻿

Pose Prediction for Mobile Ground Robots Evaluation Dataset ﻿

Hector Enrich 2023 Radiation Mapping Dataset ﻿

DRZ Living Lab Tracked Robot SLAM Dataset ﻿

Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future ﻿

Lessons Learned from a Citizen Science Project for Natural Language Processing ﻿

Analyzing Dataset Annotation Quality Management in the Wild ﻿

On emergence ﻿

Personalised Cookie Banner Evaluation Data Set and Statistical Analysis ﻿

Self-supervised Augmentation Consistency for Adapting Semantic Segmentation ﻿

Dense Unsupervised Learning for Video Segmentation ﻿

Fast Axiomatic Attribution for Neural Networks ﻿

Analysis of the Dataset for the Terms Novice Programmers Use to Describe Code Snippets in Java ﻿

Dataset for the Terms Novice Programmers Use to Describe Code Snippets in Java ﻿

Representative German Dataset on Citizens' Attitudes and Perceptions of Social Media Use in Emergencies ﻿

ArgMining 2023 Shared Task Auxiliary Data NLPeer ﻿

Example Circuits in Bristol Format and HyCC Circuit Format ﻿

GMD 2022 CUAS-MPI on HHLR Scaling Profiles ﻿ ﻿

NLPEER: A Unified Resource for the Computational Study of Peer Review ﻿