activity
20162024
most citedMapLUR: Exploring a new Paradigm for Estimating Air Pollution using Deep Learning on Map Images

18 citations · 24 across the 6 of their papers we have counts for

collaborators

7 papers

cs.IR2024

Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction

Elisabeth Fischer, Albin Zehe, Andreas Hotho +1

Analyzing sequences of interactions between users and items, sequential recommendation models can learn user intent and make predictions about the next item. Next to item interacti…

cs.CL2023

Towards a Computational Analysis of Suspense: Detecting Dangerous Situations

Albin Zehe, Julian Schröter, Andreas Hotho

Suspense is an important tool in storytelling to keep readers engaged and wanting to read more. However, it has so far not been studied extensively in Computational Literary Studie…

cs.CL2022★ 2 cited

One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium

Vincenzo Perri, Lisi Qarkaxhija, Albin Zehe +2

Natural Language Processing and Machine Learning have considerably advanced Computational Literary Studies. Similarly, the construction of co-occurrence networks of literary charac…

cs.LG2020

SimLoss: Class Similarities in Cross Entropy

Konstantin Kobs, Michael Steininger, Albin Zehe +2

One common loss function in neural network classification tasks is Categorical Cross Entropy (CCE), which punishes all misclassifications equally. However, classes often have an in…

cs.LG2020★ 18 cited

MapLUR: Exploring a new Paradigm for Estimating Air Pollution using Deep Learning on Map Images

Michael Steininger, Konstantin Kobs, Albin Zehe +3

Land-use regression (LUR) models are important for the assessment of air pollution concentrations in areas without measurement stations. While many such models exist, they often us…

cs.CL2018★ 1 cited

ClaiRE at SemEval-2018 Task 7 - Extended Version

Lena Hettinger, Alexander Dallmann, Albin Zehe +2

In this paper we describe our post-evaluation results for SemEval-2018 Task 7 on clas- sification of semantic relations in scientific literature for clean (subtask 1.1) and noisy d…

cs.IR2016★ 3 cited

Analyzing Features for the Detection of Happy Endings in German Novels

Fotis Jannidis, Isabella Reger, Albin Zehe +3

With regard to a computational representation of literary plot, this paper looks at the use of sentiment analysis for happy ending detection in German novels. Its focus lies on the…