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Artificial Intelligence and Machine Learning in Prostate Cancer Patient Management—Current Trends and Future Perspectives

Octavian Sabin Tătaru, Mihai Dorin Vartolomei, Jens J. Rassweiler, Oșan Virgil, Giuseppe Lucarelli, Francesco Porpiglia, Daniele Amparore, Matteo Manfredi, Giuseppe Carrieri, Ugo Falagario, Daniela Terracciano, Ottavio de Cobelli (+3 others)
2021 Diagnostics  
Artificial intelligence could have a future potential role in predicting how a patient will react to the therapy side effects.  ...  Artificial intelligence (AI) is the field of computer science that aims to build smart devices performing tasks that currently require human intelligence.  ...  Multidimensional Exploration version2, from the online discussions of patients in different support groups to automated identification and intelligent analysis of emotions [94] .  ... 
doi:10.3390/diagnostics11020354 pmid:33672608 pmcid:PMC7924061 fatcat:jqktyzjrhjh2jaxvlpk3pomube

Assessing the Effectiveness of Automated Emotion Recognition in Adults and Children for Clinical Investigation

Maria Flynn, Dimitris Effraimidis, Anastassia Angelopoulou, Epaminondas Kapetanios, David Williams, Jude Hemanth, Tony Towell
2020 Frontiers in Human Neuroscience  
In line with this general trend, inter-disciplinary approaches have been taken to automate the recognition of emotions in adults or children for the benefit of various applications, such as identification  ...  Within this context, it turns out that automating emotion recognition is far from being straightforward, with several challenges arising for both science (e.g., methodology underpinned by psychology) and  ...  Despite all these technological advancements, there is currently an ongoing lively debate about the effectiveness of automated emotion recognition approaches.  ... 
doi:10.3389/fnhum.2020.00070 pmid:32317947 pmcid:PMC7156005 fatcat:7zsczgvigrbi3hn7yop6jyibtq

Cognitive Regulation and Emotion Modeling for Micro-expression

Xie Lun, Liu Xin, Yang Xiujun, Wang Zhiliang
2016 International Journal of Control and Automation  
The micro-expression recognition is based on 3D-Gradient projection descriptor and the gradient magnitude weighted Nearest Neighbor Algorithm (NNA) in facial feature regions.  ...  This paper proposed an effective system about micro-expression cognition and emotional regulation. First, the micro-expressional face was mapped into Arousal-Valence-Stance 3D emotion space.  ...  Ultimately, section 5 comprises concluding remarks and description of future work.  ... 
doi:10.14257/ijca.2016.9.2.34 fatcat:wzijgt72fjgehnhs5k5qsetvya

The Role of Emotions Intensity in Helpfulness of Online Physician Reviews

Adnan Muhammad Shah, KangYoon Lee
2022 Intelligent Automation and Soft Computing  
The findings contributed to the significance of emotions in OPRs from an innovative perspective and provided practical insights for health rating platform owners to help patients in expressing their emotions  ...  Moreover, the patient's disease severity moderated the association between negative emotions (anger and disgust), or positive emotions (joy and trust) and the perceived RH.  ...  Rizwan Ali Naqvi and Prof. Abdul Qayyum who contributed to the article in the form of data acquisition from different physician rating websites.  ... 
doi:10.32604/iasc.2022.019666 fatcat:edtbubhvrvf5xefv5jrtmfn5i4

A study of non-frontal-view facial expressions recognition

Yuxiao Hu, Zhihong Zeng, Lijun Yin, Xiaozhou Wei, Jilin Tu, Thomas S. Huang
2008 Pattern Recognition (ICPR), Proceedings of the International Conference on  
recognition, given the manually labeled facial key points.  ...  The existing methods of facial expression recognition are typically based on the near-frontal face data. The analysis of non-frontal-view facial expression is a largely unexplored research.  ...  An Automated Face Reader for Fatigue Detection. Int. Conf. Automatic Face and Gesture Recognition (FG2004). 111-116 [5] Kanade,  ... 
doi:10.1109/icpr.2008.4761052 dblp:conf/icpr/HuZYWTH08 fatcat:wj52ixwpcfefvgz4v6e3i6lwxm

IT Professional—Accomplishments, Recognitions, and Plans

Irena Bojanova
2021 IT Professional Magazine  
Our current columns are: From the Editors, IT and Future Employment, IT Trends, Mastermind, Life in the C-Suite.  ...  Furthermore, the EB identifies current topics of interest to readers and features spotlight articles that focus on popular areas (both from a scientific and industry perspective).  ... 
doi:10.1109/mitp.2020.3048454 fatcat:koud6xwl45e4pj6a3jjqtnutje

Facial Expression Recognition Complications with the Stages of Face Detection and Recognition

2019 International journal of recent technology and engineering  
So thepaper displayed different current strategies and afterward basically considered the effort by the different researchers in the area of Facial Expression Recognition.  ...  recognition and expression recognition in that way bringing about the issues of identifying impediments, enlightenments, posture varieties, acknowledgment, decrease in dimensionality, and so forth.  ...  of current trends and assist their future research prospects and directions.  ... 
doi:10.35940/ijrte.b1864.078219 fatcat:brnh75tqbngajfkzcwhcbpfze4

Ethics Sheet for Automatic Emotion Recognition and Sentiment Analysis [article]

Saif M. Mohammad
2022 arXiv   pre-print
In this paper, I have synthesized and organized information from AI Ethics and Emotion Recognition literature to present fifty ethical considerations relevant to AER.  ...  Systems for automatic emotion recognition (AER) and sentiment analysis can be facilitators of enormous progress (e.g., in improving public health and commerce) but also enablers of great harm (e.g., for  ...  considerations for emotion recognition and thoughtful comments.  ... 
arXiv:2109.08256v3 fatcat:hnpzztguprccbmzoitpryfigoa

On Driver Behavior Recognition for Increased Safety: A Roadmap

Luca Davoli, Marco Martalò, Antonio Cilfone, Laura Belli, Gianluigi Ferrari, Roberta Presta, Roberto Montanari, Maura Mengoni, Luca Giraldi, Elvio G. Amparore, Marco Botta, Idilio Drago (+3 others)
2020 Safety  
emotionally apt to drive.  ...  In this paper, we first review the state-of-the-art of emotional and cognitive analysis for ADAS: we consider psychological models, the sensors needed for capturing physiological signals, and the typical  ...  recognition system to be applied in the context of partial automated driving.  ... 
doi:10.3390/safety6040055 fatcat:rntcjtvwkjaa5mrxsc2lji5kdy

A survey of affect recognition methods

Zhihong Zeng, Maja Pantic, Glenn I. Roisman, Thomas S. Huang
2007 Proceedings of the ninth international conference on Multimodal interfaces - ICMI '07  
This paper introduces and surveys these recent advances. We first discuss human emotion perception from a psychological perspective.  ...  Automated analysis of human affective behavior has attracted increasing attention from researchers in psychology, computer science, linguistics, neuroscience, and related disciplines.  ...  Zhihong Zeng wrote the first draft, Maja Pantic significantly improved it by rewriting it and offering important advice, and Glenn Roisman provided important comments and polished the whole paper.  ... 
doi:10.1145/1322192.1322216 dblp:conf/icmi/ZengPRH07 fatcat:byahqj5l4zhzhg5mzlgqu3edqy

Human emotion recognition in the significance assessment of property attributes

Małgorzata Renigier-Biłozor, Artur Janowski, Marek Walacik, Aneta Chmielewska
2021 Journal of Housing and the Built Environment  
The objective of this study is to develop an original method for assessing the significance of property attributes based on emotion recognition technology as an alternative to the commonly used methods  ...  The study attempts to assess the significance of selected attributes of real estate based on the detection and analysis of the emotions of potential investors.  ...  From the perspective of provided information, there is the following functional division in relation to facial emotion communication: emotion indicators, which communicate to the recipient the current  ... 
doi:10.1007/s10901-021-09833-0 fatcat:uloqv6dhrjglfdtfz5nztzs67e

Ethics Sheet for Automatic Emotion Recognition and Sentiment Analysis

Saif M. Mohammad
2022 Computational Linguistics  
In this article, I have synthesized and organized information from AI Ethics and Emotion Recognition literature to present fifty ethical considerations relevant to AER.  ...  Systems for automatic emotion recognition (AER) and sentiment analysis can be facilitators of enormous progress (e.g., in improving public health and commerce) but also enablers of great harm (e.g., for  ...  Many thanks to Mallory Feldman (Carolina Affective Neuroscience Lab, UNC) for discussions on the psychology and complexity of emotions.  ... 
doi:10.1162/coli_a_00433 fatcat:474cgulf65c5rbxem5u65qdc5q

Development and Progress in Sensors and Technologies for Human Emotion Recognition

Shantanu Pal, Subhas Mukhopadhyay, Nagender Suryadevara
2021 Sensors  
Finally, we discuss the current trends in applications and explore the future research directions to address issues, e.g., scalability, security, trust, privacy, transparency, and decentralization.  ...  ., the Internet of Things (IoT), future Internet, and artificial intelligence, there is a high demand for building scalable, robust, efficient, and trustworthy human recognition systems.  ...  In Section 5, we discuss design challenges and different applications associated with some real-world applications followed by current trends and future directions on human emotion recognition in Section  ... 
doi:10.3390/s21165554 pmid:34451002 pmcid:PMC8402266 fatcat:z43zfssx3zatfg736tejes3ytq

Emotion Carrier Recognition from Personal Narratives [article]

Aniruddha Tammewar, Alessandra Cervone, Giuseppe Riccardi
2021 arXiv   pre-print
In this work, we propose a novel task for Narrative Understanding: Emotion Carrier Recognition (ECR).  ...  We explore the task of ECR in a corpus of PNs manually annotated with emotion carriers and investigate different machine learning models for the task.  ...  With current emotion analysis systems, it would be possible to understand that the user is upset about something.  ... 
arXiv:2008.07481v2 fatcat:vuv3d6fq2ff6jkn5zj2j6ggzy4

Machine Recognition of Music Emotion

Yi-Hsuan Yang, Homer H. Chen
2012 ACM Transactions on Intelligent Systems and Technology  
A central issue of machine recognition of music emotion is the conceptualization of emotion and the associated emotion taxonomy.  ...  Moreover, as music emotion recognition is still in its infancy, there are many open issues.  ...  CATEGORICAL MUSIC EMOTION RECOGNITION A great many efforts have been made by MIR researchers to automate MER, and the type of music under study has gradually shifted over the past few years from symbolic  ... 
doi:10.1145/2168752.2168754 fatcat:lvimvnhqgvfingi6ydz2fw26v4
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