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08/18/2023
Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers
The growing popularity of Vision Transformers as the go-to models for im...
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08/17/2023
Predicting Crop Yield With Machine Learning: An Extensive Analysis Of Input Modalities And Models On a Field and sub-field Level
We introduce a simple yet effective early fusion method for crop yield p...
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08/15/2023
YODA: You Only Diffuse Areas. An Area-Masked Diffusion Approach For Image Super-Resolution
This work introduces "You Only Diffuse Areas" (YODA), a novel method for...
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08/10/2023
A Comparative Assessment of Multi-view fusion learning for Crop Classification
With a rapidly increasing amount and diversity of remote sensing (RS) da...
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08/03/2023
Towards Self-organizing Personal Knowledge Assistants in Evolving Corporate Memories
This paper presents a retrospective overview of a decade of research in ...
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07/10/2023
DWA: Differential Wavelet Amplifier for Image Super-Resolution
This work introduces Differential Wavelet Amplifier (DWA), a drop-in mod...
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04/11/2023
DartsReNet: Exploring new RNN cells in ReNet architectures
We present new Recurrent Neural Network (RNN) cells for image classifica...
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04/04/2023
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution
This paper presents a novel Diffusion-Wavelet (DiWa) approach for Single...
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03/28/2023
From Private to Public: Benchmarking GANs in the Context of Private Time Series Classification
Deep learning has proven to be successful in various domains and for dif...
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03/01/2023
On the Importance of Feature Representation for Flood Mapping using Classical Machine Learning Approaches
Climate change has increased the severity and frequency of weather disas...
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01/31/2023
A Bayesian Generative Adversarial Network (GAN) to Generate Synthetic Time-Series Data, Application in Combined Sewer Flow Prediction
Despite various breakthroughs in machine learning and data analysis tech...
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01/09/2023
Instance Segmentation Based Graph Extraction for Handwritten Circuit Diagram Images
Handwritten circuit diagrams from educational scenarios or historic sour...
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11/08/2022
Privacy Meets Explainability: A Comprehensive Impact Benchmark
Since the mid-10s, the era of Deep Learning (DL) has continued to this d...
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10/14/2022
Quantifying Quality of Class-Conditional Generative Models in Time-Series Domain
Generative models are designed to address the data scarcity problem. Eve...
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09/27/2022
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances
With the advent of Deep Learning (DL), Super-Resolution (SR) has also be...
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06/23/2022
Functional Component Descriptions for Electrical Circuits based on Semantic Technology Reasoning
Circuit diagrams have been used in electrical engineering for decades to...
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06/13/2022
Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification
It is generally believed that the human visual system is biased towards ...
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04/13/2022
A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets
Health mention classification deals with the disease detection in a give...
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04/05/2022
DT2I: Dense Text-to-Image Generation from Region Descriptions
Despite astonishing progress, generating realistic images of complex sce...
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03/14/2022
Less is More: Proxy Datasets in NAS approaches
Neural Architecture Search (NAS) defines the design of Neural Networks a...
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03/04/2022
F2DNet: Fast Focal Detection Network for Pedestrian Detection
Two-stage detectors are state-of-the-art in object detection as well as ...
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03/03/2022
Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training
Health mentioning classification (HMC) classifies an input text as healt...
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02/22/2022
Utilizing Out-Domain Datasets to Enhance Multi-Task Citation Analysis
Citations are generally analyzed using only quantitative measures while ...
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02/16/2022
TimeREISE: Time-series Randomized Evolving Input Sample Explanation
Deep neural networks are one of the most successful classifiers across d...
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02/08/2022
KENN: Enhancing Deep Neural Networks by Leveraging Knowledge for Time Series Forecasting
End-to-end data-driven machine learning methods often have exuberant req...
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02/08/2022
Time to Focus: A Comprehensive Benchmark Using Time Series Attribution Methods
In the last decade neural network have made huge impact both in industry...
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01/21/2022
Random Noise vs State-of-the-Art Probabilistic Forecasting Methods : A Case Study on CRPS-Sum Discrimination Ability
The recent developments in the machine learning domain have enabled the ...
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01/04/2022
ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis of Skin Lesions
One principal impediment in the successful deployment of AI-based Comput...
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12/06/2021
Search and Learn: Improving Semantic Coverage for Data-to-Text Generation
Data-to-text generation systems aim to generate text descriptions based ...
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11/29/2021
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification
With the advent of machine learning in applications of critical infrastr...
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10/25/2021
Spread2RML: Constructing Knowledge Graphs by Predicting RML Mappings on Messy Spreadsheets
The RDF Mapping Language (RML) allows to map semi-structured data to RDF...
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09/18/2021
Violence Detection in Videos
In the recent years, there has been a tremendous increase in the amount ...
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08/22/2021
Spatial Transformer Networks for Curriculum Learning
Curriculum learning is a bio-inspired training technique that is widely ...
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06/27/2021
A Reinforcement Learning Approach for Sequential Spatial Transformer Networks
Spatial Transformer Networks (STN) can generate geometric transformation...
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06/24/2021
AudioCLIP: Extending CLIP to Image, Text and Audio
In the past, the rapidly evolving field of sound classification greatly ...
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05/14/2021
XAI Handbook: Towards a Unified Framework for Explainable AI
The field of explainable AI (XAI) has quickly become a thriving and prol...
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04/28/2021
A Linked Data Application Framework to Enable Rapid Prototyping
Application developers, in our experience, tend to hesitate when dealing...
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04/28/2021
Mapping Spreadsheets to RDF: Supporting Excel in RML
The RDF Mapping Language (RML) enables, among other formats, the mapping...
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04/28/2021
Dataset Generation Patterns for Evaluating Knowledge Graph Construction
Confidentiality hinders the publication of authentic, labeled datasets o...
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04/23/2021
ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio
Environmental Sound Classification (ESC) is a rapidly evolving field tha...
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03/25/2021
AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style
Conditional image synthesis from layout has recently attracted much inte...
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03/05/2021
Interactively Constructing Knowledge Graphs from Messy User-Generated Spreadsheets
When spreadsheets are filled freely by knowledge workers, they can conta...
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03/02/2021
Deep Learning Based Decision Support for Medicine – A Case Study on Skin Cancer Diagnosis
Early detection of skin cancers like melanoma is crucial to ensure high ...
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02/15/2021
Confidence-Aware Learning Assistant
Not only correctness but also self-confidence play an important role in ...
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02/11/2021
PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification
The classification of time-series data is pivotal for streaming data and...
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01/25/2021
Adversarial Text-to-Image Synthesis: A Review
With the advent of generative adversarial networks, synthesizing images ...
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01/07/2021
Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks
Classification problems solved with deep neural networks (DNNs) typicall...
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11/26/2020
Achievements and Challenges in Explaining Deep Learning based Computer-Aided Diagnosis Systems
Remarkable success of modern image-based AI methods and the resulting in...
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11/16/2020
The Person Index Challenge: Extraction of Persons from Messy, Short Texts
When persons are mentioned in texts with their first name, last name and...
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11/16/2020
