A survey of artificial intelligence challenges: Analyzing the definitions, relationships, and evolutions
In recent years, artificial intelligence has had a tremendous impact on every field, and
several definitions of its different types have been provided. In the literature, most articles …
several definitions of its different types have been provided. In the literature, most articles …
Emotions don't lie: An audio-visual deepfake detection method using affective cues
We present a learning-based method for detecting real and fake deepfake multimedia
content. To maximize information for learning, we extract and analyze the similarity between …
content. To maximize information for learning, we extract and analyze the similarity between …
A survey on multimodal disinformation detection
Recent years have witnessed the proliferation of offensive content online such as fake news,
propaganda, misinformation, and disinformation. While initially this was mostly about textual …
propaganda, misinformation, and disinformation. While initially this was mostly about textual …
Lie detection: What works?
A reliable lie-detection method would be extremely useful in many situations but especially
in forensic contexts. This review describes and evaluates the range of methods that have …
in forensic contexts. This review describes and evaluates the range of methods that have …
Deep learning algorithms for detecting fake news in online text
S Girgis, E Amer, M Gadallah - 2018 13th international …, 2018 - ieeexplore.ieee.org
Spreading of fake news is a social phenomenon that is pervasive at the social level between
individuals, and also through social media such as Facebook and Twitter. Fake news that …
individuals, and also through social media such as Facebook and Twitter. Fake news that …
Detecting deception through facial expressions in a dataset of videotaped interviews: A comparison between human judges and machine learning models
In the last decades, research has claimed facial micro-expressions are a reliable means to
detect deception. However, experimental results showed that trained and naïve human …
detect deception. However, experimental results showed that trained and naïve human …
Multimodal fusion methods with deep neural networks and meta-information for aggression detection in surveillance
Multimodal fusion has become one of the hottest topics in affective computing and other
research areas. Yet, this topic is less studied in surveillance systems. In general, it focused …
research areas. Yet, this topic is less studied in surveillance systems. In general, it focused …
A robust technique of fake news detection using Ensemble Voting Classifier and comparison with other classifiers
A Mahabub - SN Applied Sciences, 2020 - Springer
These days online networking is generally utilized as the wellspring of data as a result of its
ease, simple to get to nature. In any case, expending news from online life is a twofold …
ease, simple to get to nature. In any case, expending news from online life is a twofold …
Evidence of inter-state coordination amongst state-backed information operations
Since 2018, Twitter has steadily released into the public domain content discovered on the
platform and believed to be associated with information operations originating from more …
platform and believed to be associated with information operations originating from more …
Deep learning models for forecasting aviation demand time series
The analysis along with the modeling of passenger demand dynamic, which deem to have
vital implications on the management and the operation within the entire aviation industry …
vital implications on the management and the operation within the entire aviation industry …