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Found 17 papers, 4 papers with code
Social Media and Artificial Intelligence for Sustainable Cities and Societies: A Water Quality Analysis Use-case
To ensure the quality of water, different methods for monitoring and assessing the water networks, such as offline and online surveys, are used.
Stylometry Analysis of Multi-authored Documents for Authorship and Author Style Change Detection
This paper investigates three key tasks of style analysis: (i) classification of single and multi-authored documents, (ii) single change detection, which involves identifying the point where the author switches, and (iii) multiple author-switching detection in multi-authored documents.
Effective Learning with Node Perturbation in Deep Neural Networks
Backpropagation (BP) is the dominant and most successful method for training parameters of deep neural network models.
Document Provenance and Authentication through Authorship Classification
In this paper, we propose an ensemble-based text-processing framework for the classification of single and multi-authored documents, which is one of the key tasks in style analysis.
Floods Relevancy and Identification of Location from Twitter Posts using NLP Techniques
This paper presents our solutions for the MediaEval 2022 task on DisasterMM.
Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization
Predictive processing is a popular theoretical framework which maintains that the human brain is actively seeking to minimize surprise.
A Late Fusion Framework with Multiple Optimization Methods for Media Interestingness
The extraction of such meaningful information is a complex task and generally, the performance of individual algorithms is very low.
An Explainable Regression Framework for Predicting Remaining Useful Life of Machines
The task is treated as a regression problem where Machine Learning (ML) algorithms are used to predict the RUL of machine components.
Constrained Parameter Inference as a Principle for Learning
Backpropagation of error (BP) is an example of such an approach and has proven to be a highly successful application of stochastic gradient descent to deep neural networks.
Social Media as an Instant Source of Feedback on Water Quality
We also provide an evaluation of the individual models where the highest F1-score of 0. 81 is obtained with the BERT model.
NLP Techniques for Water Quality Analysis in Social Media Content
This paper presents our contributions to the MediaEval 2021 task namely "WaterMM: Water Quality in Social Multimedia".
Explainable Event Recognition
The results of the study indicate that 78%, 84%, and 78% of the model decisions on natural disasters, sports, and social events datasets, respectively, are based onevent-related objects or regions.
P4O: Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization
Predictive processing is a popular theoretical framework which maintains that the human brain is actively seeking to minimize surprise.
Gradient-adjusted Incremental Target Propagation Provides Effective Credit Assignment in Deep Neural Networks
Many of the recent advances in the field of artificial intelligence have been fueled by the highly successful backpropagation of error (BP) algorithm, which efficiently solves the credit assignment problem in artificial neural networks.
Floods Detection in Twitter Text and Images
The extracted features are then used to train multiple individual classifiers whose scores are then combined in a late fusion manner achieving an F1-score of 0. 75%.
GAIT-prop: A biologically plausible learning rule derived from backpropagation of error
An alternative called target propagation proposes to solve this implausibility by using a top-down model of neural activity to convert an error at the output of a neural network into layer-wise and plausible 'targets' for every unit.
Overcoming the Weight Transport Problem via Spike-Timing-Dependent Weight Inference
We propose a solution to the weight transport problem, which questions the biological plausibility of the backpropagation algorithm.
