#مقاله

عنوان:
A Model for Detecting of Persian Rumors based on the Analysis of Contextual Features in the Content of Social Networks

مجله:
Signal and Data Processing

لینک مقاله

@cominsys_channel

#فراخوان_مقاله

مجله:
ACM Transactions on Asian and Low-Resource Language Information Processing

عنوان:
Fuzzy Natural Language Processing for Low Resourced Languages on Social Media

موضوعات:
• Models and developmental tools for Fuzzy NLP in low-resource languages
• Computer assisted coding using NLP for Low-resource languages
• Fuzzy NLP for cross media analysis in Asian languages
• Applications of NLP in social networks for knowledge expansion in Asian languages
• Low-resource languages-based E-dictionaries using Deep learning
• Possibilities of Fuzzy NLP assisted sentimental analysis and opinion mining for low resource language in social
networks
• Current low-resource language issues in fuzzy NLP for modeling of social network analysis
• Low-resource language data collection and analysis of social media using NLP
• Low language processing issues and NLP techniques to study word segmentation and unknown word
identification
• Social media-based clustering and classification tools of Asian languages
• Fuzzy deep neural networks for Asian language identification in NLP
• Community- based detections of Asian languages using Fuzzy NLP
• NLP training models for social media platform: An Asian language perspective

لینک فراخوان

لینک مجله

@cominsys_channel

#مقاله

عنوان:
Topic Detection and Tracking Techniques on Twitter: A Systematic Review

مجله: Complexity

DOI: 10.1155/2021/8833084

@cominsys_channel

#فراخوان_مقاله

مجله:
International Journal of Data Science and Analytics

عنوان:
Large-scale Statistical Natural Language Processing

موضوعات:
Statistical Inference
Statistical Parsing
Statistical learning
Text Classification
Question Answering
Sentiment Analysis
Summarization
Conversational agents
Narrative Science
Lexical semantics
Word sense disambiguation
Speech recognition
Text-to-speech and spoken language understanding
Computational Social Science and Social Media
Dialogue and Interactive Systems
Discourse and Pragmatics
Information Extraction
Information Retrieval and Text Mining
Linguistic Theories
Cognitive Modeling and Psycholinguistics
Machine Learning for NLP
Machine Translation
Deep Learning for NLP
NLP Applications in Big Data

لینک فراخوان

لینک مجله

@cominsys_channel

#مقاله

عنوان:
COVID-19 detection using deep convolutional neural networks and binary-differential-algorithm-based feature selection on X-ray images

مجله: ArXiv

ArXiv: 2104.07279

@cominsys_channel

#فراخوان_مقاله

مجله:
Scientometrics

عنوان:
AI + Informetrics

موضوعات:
• Informetrics with machine learning (including deep learning)
• Informetrics with natural language processing or computational linguistics
• Informetrics with computer vision • Informetrics with other related AI techniques (e.g., information retrieval)
• AI for science of science
• AI for science, technology, & innovation
• AI for research policy and strategic management
• Applications of AI-enhanced informetrics

لینک فراخوان

لینک مجله

@cominsys_channel

#فراخوان_مقاله

مجله:
Multi-modal Computing for Biomedical Diagnosis and Analysis

عنوان:
Information Processing & Management

موضوعات:
- Shallow and deep learning-based multi-modal computing for medical imaging
- Novel theories and applications of multi-modal biomedical fusion for accurate clinical diagnoses
- Deep learning-based image processing and diagnostic analysis of multi-modal medical imaging data, such as early diagnosis of human diseases, accurate lesion segmentation, etc.
- Incomplete multimodal computing in disease diagnosis and health communications
- Self-supervised, semi-supervised, or unsupervised learning methods for biomedical imaging data
- Generative adversarial networks for biomedical data augmentation and processing
- Adversarial learning for security, privacy, and trust on radiological images or other health-related data
- Collection, analysis, and mining of large-scale multi-modal biomedical databases
- Visualization and understanding of multi-modal biomedical data in health communication, disaster communication, and information seeking
- Surveys/review papers on multi-modal/multi-view learning/biomedical engineering

لینک فراخوان

لینک مجله

@cominsys_channel

#فراخوان_مقاله

مجله:
Decision Support Systems

عنوان:
Business and Government Applications of Text Mining & Natural Language Processing (NLP) for Societal Benefit

موضوعات:

• NLP and text mining applications in healthcare sector to mine the EHR records, clinical trials, and clinical notes for predicting patient outcomes
• NLP applications in healthcare sector to predict early disease diagnosis and treatment
• Impact of NLP on organizational performance
• Impacts of NLP on decision-making quality
• Moral and ethical aspects of NLP
• NLP and dissemination of knowledge within firms
• NLP and text mining applications to understand the behaviour of opinion spammers and to identify fraudulent reviewers
• NLP and text mining applications to detect and fight neural fake news and fake news propagators
• NLP applications in e-commerce sector to understand customer shopping behaviour, to predict product demand, and to monitor trends for making better marketing strategies
• NLP applications in retail sector to provide product recommendations to online customers and to improve personalized customer experiences
• NLP and text mining applications to understand the role of social media platforms for influencing elections
• Computational analysis of political texts using text mining
• Applications of text mining and sentiment analysis for predicting box office revenue and movie success
• NLP applications in cyber-crime prevention
• NLP applications in fraud detection through claims investigation
• NLP and text mining applications in contextual advertising
• NLP applications in market research to find what consumers value most
• Text mining applications to analyze customer complaints data and identify new product ideals
• Text mining applications on investment decisions in crowdfunding
• Text mining applications to identify and analyze job satisfaction factors from online employee reviews
• NLP and text mining applications to determine user satisfaction in public services
• Text mining-based decision support system for e-governance
• Text mining applications to solve government issues and improve regulatory compliance, enhance policy analysis, and reduce operations expenditure

لینک فراخوان

لینک مجله
@cominsys_channel

#مقاله

عنوان:
TopicBERT: A cognitive approach for topic detection from multimodal post stream using BERT and memory–graph

مجله:
Chaos, Solitons & Fractals

DOI: 10.1016/j.chaos.2021.111274

لینک دسترسی رایگان به مقاله (مدت محدود)

@cominsys_channel

#مقاله

عنوان:
BERTERS: Multimodal Representation Learning for Expert Recommendation System with Transformers and Graph Embeddings

مجله:
Chaos, Solitons & Fractals

DOI: 10.1016/j.chaos.2021.111260

لینک دسترسی رایگان به مقاله (مدت محدود)

@cominsys_channel

#پیاده‌سازی

کدهای مقاله "ExEm: Expert embedding using dominating set theory with deep learning approaches" در صفحه GitHub آزمایشگاه سپهر درج شده است.

لینک GitHub

@cominsys_channel
@ai_python

#مقاله

عنوان:
Mobile applications for road traffic health and safety in the mirror of the Haddon’s matrix

مجله:
BMC Medical Informatics and Decision Making

DOI: 10.1186/s12911-021-01578-8

@cominsys_channel

#پیاده‌سازی

کدهای مقاله "Heat transfer relation-based optimization algorithm در صفحه GitHub آزمایشگاه سپهر درج شده است.

لینک GitHub
@cominsys_channel

#فراخوان_مقاله

عنوان:
Engineering applications of modern metaheuristics

لینک ارسال مقاله

@cominsys_channel

#دفاع

جلسه دفاع دکتری جناب آقای میثم عسگری

موضوع:
رویکرد جامع برای تحلیل موضوع موردنظر در داده جریانی شبکه اجتماعی توئیتر با استفاده از یادگیری عمیق و گراف حافظه

لینک جلسه
(حضور برای عموم آزاد است.)

@cominsys_channel

#تبریک
#اطلاعیه

با عنایت به تصویب مجله "مهندسی کامپیوتر و فناوری اطلاعات" در کمیسیون سیاست‌گذاری پایش و ارتقا نشریات علمی دانشگاه تبریز و انتخاب بجا و شایسته جناب آقای دکتر پدرام صالحپور، استادیار گروه مهندسی کامپیوتر دانشگاه تبریز، به سمت مدیر مسئول مجله فوق، این انتخاب را به ایشان و گروه مهندسی کامپیوتر دانشگاه تبریز تبریک گفته و آرزوی سربلندی و روز افزون برای ایشان و مجله را از ایزد منان خواستاریم.

@cominsys_channel

#دفاع

جلسه دفاع دکتری سرکار خانم نرجس نیکزاد

موضوع:
ارائه سیستم پیشنهاد دهنده فرد خبره مبتنی بر راهکارهای یادگیری عمیق

لینک جلسه
(حضور برای عموم آزاد است.)

@cominsys_channel

#مقاله

عنوان:
Battle royale optimizer for training multi-layer perceptron

مجله:
Evolving Systems

DOI: 10.1007/s12530-021-09401-5

@cominsys_channel

#مقاله

عنوان:
Mobile applications for road traffic health and safety in the mirror of the Haddon’s matrix

مجله:
BMC Medical Informatics and Decision Making

DOI: 10.1186/s12911-021-01578-8

@cominsys_channel

#فراخوان_مقاله

مجله:
Knowledge-Based Systems

عنوان:
Explainability of Machine Learning in Methodologies and Applications

موضوعات:
1. Theory, models, frameworks and tools of explainable machine learning
2. Explainable machine learning methods by implementation of fuzzy sets and systems
3. Explainable machine learning methods and algorithms by integrating rule-based learning, ontologies, Bayesian models and other related machine learning techniques
4. Explainable machine learning security, privacy and related systems
5. Explainable machine learning in robotics, healthcare and social science
6. Explainable machine learning for human machine interaction and collaboration
7. Explainable machine learning system with autonomous data-driven machine learning and automated reasoning
8. Explainable machine learning models for personalised support in human thinking, learning, designing, planning and decision-making.

لینک فراخوان
لینک مجله

@cominsys_channel