#مقاله
عنوان:
Learning Bilingual Word Embedding Mappings with Similar Words in Related Languages Using GAN
مجله:
Applied Artificial Intelligence
DOI: https://doi.org/10.1080/08839514.2021.2019885
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عنوان:
Learning Bilingual Word Embedding Mappings with Similar Words in Related Languages Using GAN
مجله:
Applied Artificial Intelligence
DOI: https://doi.org/10.1080/08839514.2021.2019885
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#مقاله
عنوان:
BinBRO: Binary Battle Royale Optimizer algorithm
مجله:
Expert Systems with Applications
DOI: https://doi.org/10.1016/j.eswa.2022.116599
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عنوان:
BinBRO: Binary Battle Royale Optimizer algorithm
مجله:
Expert Systems with Applications
DOI: https://doi.org/10.1016/j.eswa.2022.116599
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The F-beta score is the weighted harmonic mean of precision and recall, reaching its optimal value at 1.
👉F1 is nothing but F-Beta with beta = 1, where precision and recall are given equal weightage. It has been used when there is a need to strike a balance on getting optimum False Positives and optimum False Negatives.
👉F0.5 is F-Beta with beta = 0.5, to weigh precision more than recall. The end goal is to reduce False Positives (FP). E.g Child safety detector for social media content. In this case, even one FP could be disastrous, so optimizing for an FP that is a theoretical zero makes sense.
👉F2.0 is F-Beta with beta = 2.0, to weigh recall more than precision. Its end goal is to reduce False Negatives. (FN). E.g Rare cancer detector. In this case, an FN i.e. failing to catch rare cancer for a patient who has it is disastrous.
F-Beta Score: https://scikit-learn.org/stable/modules/generated/sklearn.metrics.fbeta_score.html
@cominsys_channel
👉F1 is nothing but F-Beta with beta = 1, where precision and recall are given equal weightage. It has been used when there is a need to strike a balance on getting optimum False Positives and optimum False Negatives.
👉F0.5 is F-Beta with beta = 0.5, to weigh precision more than recall. The end goal is to reduce False Positives (FP). E.g Child safety detector for social media content. In this case, even one FP could be disastrous, so optimizing for an FP that is a theoretical zero makes sense.
👉F2.0 is F-Beta with beta = 2.0, to weigh recall more than precision. Its end goal is to reduce False Negatives. (FN). E.g Rare cancer detector. In this case, an FN i.e. failing to catch rare cancer for a patient who has it is disastrous.
F-Beta Score: https://scikit-learn.org/stable/modules/generated/sklearn.metrics.fbeta_score.html
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#فراخوان_مقاله
EAMM 2022: Engineering Applications of Modern Metaheuristics
مجله:
Studies in Computational Intelligence
موضوعات:
- metaheuristics
- optimization
- artificial intelligence
- computer science
مهلت ارسال:
March 31, 2022
اطلاعات بیشتر
@cominsys_channel
EAMM 2022: Engineering Applications of Modern Metaheuristics
مجله:
Studies in Computational Intelligence
موضوعات:
- metaheuristics
- optimization
- artificial intelligence
- computer science
مهلت ارسال:
March 31, 2022
اطلاعات بیشتر
@cominsys_channel
#مقاله
عنوان:
Detecting Non-Spherical Clusters Using Modified CURE Algorithm
کنفرانس:
2021 11th International Conference on Computer Engineering and Knowledge (ICCKE)
DOI: 10.1109/ICCKE54056.2021.9721508
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عنوان:
Detecting Non-Spherical Clusters Using Modified CURE Algorithm
کنفرانس:
2021 11th International Conference on Computer Engineering and Knowledge (ICCKE)
DOI: 10.1109/ICCKE54056.2021.9721508
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#فراخوان_مقاله
The Way Forward with AI-complete Problems
مجله:
New Generation Computing
موضوعات:
• Representation, Reasoning, and Learning
• Bridging the Neuro-Symbolic Gap
• Knowledge Graph Embeddings
• Knowledge Organization Systems
• Contextualized Word Embeddings
• Ontology-based Classification
• Context Understanding
• Proposing new approaches for making the hybrid possible
• Knowledge Matching and Ontology Matching
• Natural Language Understanding
• Neuro-Symbolic Architectures
• Explainable AI and Evaluating Explanations
لینک فراخوان
لینک مجله
@cominsys_channel
The Way Forward with AI-complete Problems
مجله:
New Generation Computing
موضوعات:
• Representation, Reasoning, and Learning
• Bridging the Neuro-Symbolic Gap
• Knowledge Graph Embeddings
• Knowledge Organization Systems
• Contextualized Word Embeddings
• Ontology-based Classification
• Context Understanding
• Proposing new approaches for making the hybrid possible
• Knowledge Matching and Ontology Matching
• Natural Language Understanding
• Neuro-Symbolic Architectures
• Explainable AI and Evaluating Explanations
لینک فراخوان
لینک مجله
@cominsys_channel
Springer
New Generation Computing
آزمایشگاه سامانههای پردازش هوشمند رایانهای با افتخار به اطلاع پژوهشگران و اساتید محترم میرساند که مجله مهندسی کامپیوتر و فناوری اطلاعات موفق به اخذ مجوز انتشار از کمیسیون نشریات علمی دانشگاه تبریز گردید. به زودی با اخذ مجوز نشر از وزارت ارشاد انتشار این مجله صورت خواهد پذیرفت.
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@cominsys_channel
#مقاله
عنوان:
Multimodal Price Prediction
مجله:
Annals of Data Science
DOI:10.1007/s40745-021-00326-z
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عنوان:
Multimodal Price Prediction
مجله:
Annals of Data Science
DOI:10.1007/s40745-021-00326-z
@cominsys_channel
#مقاله
عنوان:
Knowledge Graph-Enabled Text-Based Automatic Personality Prediction
مجله:
ArXiv
ArXiv: 2203.09103
DOI: 10.48550/arXiv.2203.09103
@cominsys_channel
عنوان:
Knowledge Graph-Enabled Text-Based Automatic Personality Prediction
مجله:
ArXiv
ArXiv: 2203.09103
DOI: 10.48550/arXiv.2203.09103
@cominsys_channel
آزمایشگاه سامانههای پردازش هوشمند رایانهای با افتخار به اطلاع پژوهشگران و اساتید محترم میرساند که مجله مهندسی کامپیوتر و فناوری اطلاعات موفق به اخذ مجوز انتشار از وزارت ارشاد گردید. در پی این روند به زودی دریافت مقالات در این مجله شروع خواهد گردید. لازم به ذکر است که مقالات به دو زبان فارسی و انگلیسی مورد قبول این مجله خواهد بود.
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@cominsys_channel
#مقاله
عنوان:
اثربخشی مراقبه ذهنآگاهی بر ادراک زمان و امواج مغزی با کاربرد تکلیف دوقسمتی زمانی در جمعیت دانشجویی
The effectiveness of mindfulness meditation on the time perception and brain waves using a temporal bisection task in the student population
مجله:
تازههای علومشناختی
Advances in Cognitive Sciences
DOI: 10.30514/icss.23.4.33
@cominsys_channel
عنوان:
اثربخشی مراقبه ذهنآگاهی بر ادراک زمان و امواج مغزی با کاربرد تکلیف دوقسمتی زمانی در جمعیت دانشجویی
The effectiveness of mindfulness meditation on the time perception and brain waves using a temporal bisection task in the student population
مجله:
تازههای علومشناختی
Advances in Cognitive Sciences
DOI: 10.30514/icss.23.4.33
@cominsys_channel
#فراخوان_مقاله
Artificial Intelligence in Biomedical Big Data and Digital Healthcare
مجله:
Future Generation Computer Systems
موضوعات:
· Deep-learning-empowered artificial intelligence models for biomedical applications
· Biomedical knowledge reasoning
· Biomedical knowledge graph construction and completion
· Biomedical knowledge graph embedding
· Biomedical knowledge extraction from electronic medical record
· Explainable diagnostics support system
· Diagnostics support system based on electronic medical record
· Multi-modal biomedical data analysis models
· Multi-modal transformer models for biomedical data
· Data anonymization methods for biomedical data
· Privacy-aware biomedical data analysis
· Federated learning for biomedical data
· Causal Inference for multi-modal biomedical data
· Self-supervised learning for multi-modal biomedical data
· Biomedical image/signal processing
· Sensing, detection, and recognition in biomedical image/signal
· Natural language processing and knowledge discovery in biomedical documents
· Emerging digital healthcare applications
· Wearable medical wireless sensors
· Mobile and cloud computing for digital healthcare
· Security, trust, and privacy in digital healthcare
لینک فراخوان
لینک مجله
@cominsys_channel
Artificial Intelligence in Biomedical Big Data and Digital Healthcare
مجله:
Future Generation Computer Systems
موضوعات:
· Deep-learning-empowered artificial intelligence models for biomedical applications
· Biomedical knowledge reasoning
· Biomedical knowledge graph construction and completion
· Biomedical knowledge graph embedding
· Biomedical knowledge extraction from electronic medical record
· Explainable diagnostics support system
· Diagnostics support system based on electronic medical record
· Multi-modal biomedical data analysis models
· Multi-modal transformer models for biomedical data
· Data anonymization methods for biomedical data
· Privacy-aware biomedical data analysis
· Federated learning for biomedical data
· Causal Inference for multi-modal biomedical data
· Self-supervised learning for multi-modal biomedical data
· Biomedical image/signal processing
· Sensing, detection, and recognition in biomedical image/signal
· Natural language processing and knowledge discovery in biomedical documents
· Emerging digital healthcare applications
· Wearable medical wireless sensors
· Mobile and cloud computing for digital healthcare
· Security, trust, and privacy in digital healthcare
لینک فراخوان
لینک مجله
@cominsys_channel
#فراخوان_مقاله
New Machine Learning Technologies for Biomedical Applications
مجله:
Electronics
لینک فراخوان
لینک مجله
@cominsys_channel
New Machine Learning Technologies for Biomedical Applications
مجله:
Electronics
لینک فراخوان
لینک مجله
@cominsys_channel
#فراخوان_مقاله
Computing for disaster management
مجله:
Computers & Electrical Engineering
موضوعات فراخوان:
• Crowdsourcing & disaster management
• Big data analytics & disaster management
• Cloud computing & disaster management
• Context-aware computing & disaster management
• Internet of things & disaster management
• Smart city & disaster management
• Pervasive computing & disaster management
• Social network analysis & disaster management
• Natural language processing & disaster management
• COVID-19 issues management & computing
• Mining and analyzing public perceptions towards disaster events
• Extracting the disaster impacts by novel computing techniques
لینک فراخوان
لینک مجله
@cominsys_channel
Computing for disaster management
مجله:
Computers & Electrical Engineering
موضوعات فراخوان:
• Crowdsourcing & disaster management
• Big data analytics & disaster management
• Cloud computing & disaster management
• Context-aware computing & disaster management
• Internet of things & disaster management
• Smart city & disaster management
• Pervasive computing & disaster management
• Social network analysis & disaster management
• Natural language processing & disaster management
• COVID-19 issues management & computing
• Mining and analyzing public perceptions towards disaster events
• Extracting the disaster impacts by novel computing techniques
لینک فراخوان
لینک مجله
@cominsys_channel
Elsevier
Computing for disaster management (VSI-cdm) - Call for papers - Computers & Electrical Engineering - Journal - Elsevier
The impact of computers has nowhere been more revolutionary than in electrical engineering…
کانال اطلاعرسانی آزمایشگاه سپهر
#مقاله عنوان: Knowledge Graph-Enabled Text-Based Automatic Personality Prediction مجله: ArXiv ArXiv: 2203.09103 DOI: 10.48550/arXiv.2203.09103 @cominsys_channel
2203.09103.pdf
2.4 MB
#مقاله
عنوان:
Knowledge Graph-Enabled Text-Based Automatic Personality Prediction
مجله:
ArXiv
ArXiv: 2203.09103
DOI: 10.48550/arXiv.2203.09103
@cominsys_channel
عنوان:
Knowledge Graph-Enabled Text-Based Automatic Personality Prediction
مجله:
ArXiv
ArXiv: 2203.09103
DOI: 10.48550/arXiv.2203.09103
@cominsys_channel
#فراخوان_مقاله
Cyber-Social Issues Prediction in Low-Resource Languages with Deep Internet of Things (DIoT)
مجله:
ACM Transactions on Asian and Low-Resource Language Information Processing
موضوعات:
• Rumors detection in Low resource language with Deep Internet of Things (DIoT)
• Cyberbullying detection in Low resource language with Deep Internet of Things (DIoT)
• Cyber stacking in Low resource language with Deep Internet of Things (DIoT)
• Hate Speech detection in Low resource language with Deep Internet of Things (DIoT)
• Abusive content detection in Low resource language with Deep Internet of Things (DIoT)
• Cyber Security in Low resource language with Deep Internet of Things (DIoT)
• Fake News detection in Low resource language with Deep Internet of Things (DIoT)
• Social risk prediction in Low resource language with Deep Internet of Things (DIoT)
• Dataset annotation technique for Low resource language
لینک فراخوان
لینک مجله
@cominsys_channel
Cyber-Social Issues Prediction in Low-Resource Languages with Deep Internet of Things (DIoT)
مجله:
ACM Transactions on Asian and Low-Resource Language Information Processing
موضوعات:
• Rumors detection in Low resource language with Deep Internet of Things (DIoT)
• Cyberbullying detection in Low resource language with Deep Internet of Things (DIoT)
• Cyber stacking in Low resource language with Deep Internet of Things (DIoT)
• Hate Speech detection in Low resource language with Deep Internet of Things (DIoT)
• Abusive content detection in Low resource language with Deep Internet of Things (DIoT)
• Cyber Security in Low resource language with Deep Internet of Things (DIoT)
• Fake News detection in Low resource language with Deep Internet of Things (DIoT)
• Social risk prediction in Low resource language with Deep Internet of Things (DIoT)
• Dataset annotation technique for Low resource language
لینک فراخوان
لینک مجله
@cominsys_channel
#فراخوان_مقاله
Trends in Affective Speech and Language Synthesis for Asian and Low-Resource Languages
مجله:
ACM Transactions on Asian and Low-Resource Language Information Processing
موضوعات:
• Corpus-based affective speech and language synthesis for speech impaired people from Asian countries.
• Innovative techniques for effective speech synthesis using unsupervised learning methodologies.
• Enhancing the synthesis of emotional aspects in low resource languages using parameterization techniques.
• Morphological analysis and parsing of dependency in low resource language synthesis techniques.
• Enhancing the classification of short texts or sentences using augmentation methods.
لینک فراخوان
لینک مجله
@cominsys_channel
Trends in Affective Speech and Language Synthesis for Asian and Low-Resource Languages
مجله:
ACM Transactions on Asian and Low-Resource Language Information Processing
موضوعات:
• Corpus-based affective speech and language synthesis for speech impaired people from Asian countries.
• Innovative techniques for effective speech synthesis using unsupervised learning methodologies.
• Enhancing the synthesis of emotional aspects in low resource languages using parameterization techniques.
• Morphological analysis and parsing of dependency in low resource language synthesis techniques.
• Enhancing the classification of short texts or sentences using augmentation methods.
لینک فراخوان
لینک مجله
@cominsys_channel