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Python Project Titles in Machine Learning

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Development Tools: Anaconda3, Spyder 5.0
Language: Python 3.9

Machine Learning Project list

A self-supervised representation learning of sentence structure for authorship attribution - [2022]
A CNN-BiLSTM-AM method for stock price prediction - [2021]
A Fuzzy Film Rating System Using Penthagorean Fuzzy K-Means Clustering - [2021]
A Hybrid Residual Dilated LSTM and Exponential Smoothing Model for Midterm Electric Load Forecasting - [2021]
A Korean named entity recognition method using Bi-LSTM-CRF and masked self-attention - [2021]
A cognitive vision method for the detection of plant disease images - [2021]
A context-aware diversity-oriented knowledge recommendation approach for smart engineering solution design - [2021]
A context-aware recommendation system for improving manufacturing process modeling - [2021]
A dynamic replicative K-means with self-compiling particle swarm intelligence for dataset classification - [2021]
A hybrid CNN-LSTM Model for psychopathic class detection from tweeter users - [2021]
A hybrid feature selection method based on information theory and binary butterfly optimization algorithm - [2021]
A hybrid multi-stage learning technique based on brain storming optimization algorithm for breast cancer recurrence prediction - [2021]
A hybrid neural network approach to combine textual information and rating information for item recommendation - [2021]
A mobile services recommendation system fuses implicit and explicit user trust relationships - [2021]
A model-based collaborate filtering algorithm based on stacked AutoEncoder - [2021]
A multi-layer and multi-ensemble stock trader using deep learning and deep reinforcement learning - [2021]
A multi-modal fusion of features method based on deep belief networks to diagnosis schizophrenia disease - [2021]
A multiclass classification approach for incremental entity resolution on short textual data - [2021]
A multitask framework to detect depression, sentiment and multi-label emotion from suicide notes - [2021]
A novel approach to retrieve unlabelled images - [2021]
A novel evolutionary-based deep convolutional neural network model for intelligent load forecasting - [2021]
A novel feature selection method for data mining tasks using hybrid sine cosine algorithm and genetic algorithm - [2021]
A novel framework for detecting social bots with deep neural networks and active learning - [2021]
A novel fusion-based deep learning model for sentiment analysis of COVID19 tweets - [2021]
A novel hybrid algorithm for solving emerging electricity market pricing problem of microgrid - [2021]
A novel methodology for Arabic news classification - [2021]
A novel multi-stage ensemble model with enhanced outlier adaptation for credit scoring - [2021]
A recursive feature retention method for semi-supervised feature selection - [2021]
A selective ensemble learning based two-sided cross-domain collaborative filtering algorithm - [2021]
A stochastic sensitivity-based multi-objective optimization method for short-term wind speed interval prediction - [2021]
A subtype classification of hematopoietic cancer using machine learning approach - [2021]
A unified collaborative representation learning for neural-network based recommendersystems - [2021]
ABCDM: An attention-based bidirectional CNN-RNN deep model for sentiment analysis - [2021]
ASRNN: a recurrent neural network with an attention model for sequence labeling - [2021]
Adaptive optimization-based Deep Convolutional Long Short-Term Memory for Bank NIFTY index prediction - [2021]
An Adaptive Heterogeneous Online Learning Ensemble Classifier for Nonstationary Environments - [2021]
An Intelligent Business Model for Product Price Prediction Using Machine Learning Approach - [2021]
An Uncertainty-Aware Transfer Learning-Based Framework for COVID19 Diagnosis - [2021]
An attention-based category-aware GRU model for the next POI recommendation - [2021]
An early warning tool for predicting mortality risk of COVID19 patients using machine learning - [2021]
An efficient neural-network model for real-time fault detection in industrial machine - [2021]
An end-to-end annotation-free machine vision system for detection of products on the rack - [2021]
An ensemble based classification approach for persian sentiment analysis - [2021]
An ensemble machine learning approach through effective feature extraction to classify fake news - [2021]
Aspect-Aware Response Generation for Multimodal Dialogue System - [2021]
Attention-based learning of self-media data for marketing intention detection - [2021]
Attention‐based novel neural network for mixed frequency data - [2021]
Automatic childrens personality assessment from emotional speech - [2021]
BiERU: Bidirectional emotional recurrent unit for conversational sentiment analysis - [2021]
COLI: Collaborative clustering missing data imputation - [2021]
COVID‐19 diagnosis system by deep learning approaches - [2021]
Cffnn: Cross feature fusion neural network for collaborative filtering - [2021]
Clustering-based Inference for Biomedical Entity Linking - [2021]
Combined deep learning classifiers for stock market prediction: integrating stock price and news sentiments - [2021]
Combining context-relevant features with multi-stage attention network for short text classification - [2021]
Combining semi-supervised and active learning to rank algorithms: application to Document Retrieval - [2021]
Combining unsupervised and supervised learning in credit card fraud detection - [2021]
Convolutional variational autoencoder-based feature learning for automatic tea clone recognition - [2021]
DQRE-SCnet: a novel hybrid approach for selecting users in federated learning with deep-Q-reinforcement learning based on spectral clustering - [2021]
Data reduction based on NN-k NN measure for NN classification and regression - [2021]
Deep learning in the COVID19 epidemic: A deep model for urban traffic revitalization index - [2021]
Deep learning-based detection and prediction of trending topics from streaming data - [2021]
Deep spatio-temporal graph convolutional network for traffic accident prediction - [2021]
DeepHealth: A self-attention based method for instant intelligent predictive maintenance in industrial Internet of things - [2021]
DeepYield: A combined convolutional neural network with long short-term memory for crop yield forecasting - [2021]
Disaster City Digital Twin: A vision for integrating artificial and human intelligence for disaster management - [2021]
Domain identification of scientific articles using transfer learning and ensembles - [2021]
Domain-specific language model pretraining for biomedical natural language processing - [2021]
Dvg-face: Dual variational generation for heterogeneous face recognition - [2021]
Dynamic embedding projection-gated convolutional neural networks for text classification - [2021]
Dynamic fusion for ensemble of deep Q-network - [2021]
EDMF: Efficient Deep Matrix Factorization with Review Feature Learning for Industrial Recommender System - [2021]
Efficient deep learning approach for augmented detection of Coronavirus disease - [2021]
Efficient detection of Parkinsons disease using deep learning techniques over medical data - [2021]
End-to-end domain adaptive attention network for cross-domain person re-identification - [2021]
Ensemble of feature selection algorithms: a multi-criteria decision-making approach - [2021]
Explore User Neighborhood for Real-time E-commerce Recommendation - [2021]
Feature extraction by grammatical evolution for one-class time series classification - [2021]
Fish Disease Detection Using Image Based Machine Learning Technique in Aquaculture - [2021]
Gated dynamic convolutions with deep layer fusion for abstractive document summarization - [2021]
Genetic Optimized Stacked Auto Encoder Based Diabetic Retinopathy Classification - [2021]
HAM: hybrid associations models for sequential recommendation - [2021]
Hierarchical multi-attention networks for document classification - [2021]
Hierarchical pattern recognition for tourism demand forecasting - [2021]
Improving Land Cover Classification Using Genetic Programming for Feature Construction - [2021]
Intelligent computing on time-series data analysis and prediction of COVID19 pandemics - [2021]
Intelligent handwritten recognition using hybrid CNN architectures based-SVM classifier with dropout - [2021]
InterSentiment: combining deep neural models on interaction and sentiment for review rating prediction - [2021]
Interactive personalized recommendation systems for human health - [2021]
Investigation of learning abilities on linguistic features in sequence-to-sequence text-to-speech synthesis - [2021]
Iterative gradient descent for outlier detection - [2021]
Label distribution feature selection for multi-label classification with rough set - [2021]
Learning dynamics and heterogeneity of spatial-temporal graph data for traffic forecasting - [2021]
Multi-agent Reinforcement Learning for Decentralized Coalition Formation Games - [2021]
Multi-agent-based distributed text information filtering method - [2021]
Multi-label text classification via joint learning from label embedding and label correlation - [2021]
Multi-level embeddings for processing Arabic social media contents - [2021]
Multiscale drift detection test to enable fast learning in nonstationary environments - [2021]
Multitask learning for complaint identification and sentiment analysis - [2021]
Music emotion recognition using recurrent neural networks and pretrained models - [2021]
Optimizing Sentiment Classification for Arabic Opinion Texts - [2021]
Ordered weighted averaging for emotion-driven polarity detection - [2021]
Periodic weather-aware LSTM with event mechanism for parking behavior prediction - [2021]
Person Re-Identification by Context-aware Part Attention and Multi-Head Collaborative Learning - [2021]
Poligraph: Intrusion-tolerant and distributed fake news detection system - [2021]
Prediction of Urban and Rural Tourism Economic Forecast Based on Machine Learning - [2021]
Real-time Fraud Detection in e-Market Using Machine Learning Algorithms - [2021]
Relationship identification between conversational agents using emotion analysis - [2021]
Robot skill learning in latent space of a deep autoencoder neural network - [2021]
Rough set-based feature selection for weakly labeled data - [2021]
STAN: A sequential transformation attention-based network for scene text recognition - [2021]
Seamlessly unifying attributes and items: Conversational recommendation for cold-start users - [2021]
Sentiment word co-occurrence and knowledge pair feature extraction based LDA short text clustering algorithm - [2021]
Stock price forecasting and news sentiment analysis model using artificial neural network - [2021]
Synovial Sarcoma Classification Technique Using Support Vector Machine and Structure Features - [2021]
TOP-Rank: A Topical Postion Rank for Extraction and Classification of Key phrases in Text - [2021]
Time-aware sequence model for next-item recommendation - [2021]
Top-N personalized recommendation with graph neural networks in MOOCs - [2021]
Topological machine learning for multivariate time series - [2021]
Toward Aspect-Level Sentiment Modification Without Parallel Data - [2021]
Unsupervised deep representation learning for real-time tracking - [2021]
User preference and embedding learning with implicit feedback for recommender systems - [2021]
Using an auxiliary dataset to improve emotion estimation in users opinions - [2021]
Utilization of artificial intelligence in medical image analysis for COVID19 patients detection - [2021]
A context-based disambiguation model for sentiment concepts using a bag-of-concepts approach - [2020]
A deep learning architecture for psychometric natural language processing - [2020]
A deep learning based prediction of arabic manuscripts handwriting style - [2020]
A deep learning model to predict lower temperatures in agriculture - [2020]
A hybrid deep learning model with attention-based conv-LSTM networks for short-term traffic flow prediction - [2020]
A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting - [2020]
A hybrid method of recurrent neural network and graph neural network for next-period prescription prediction - [2020]
A modified particle swarm optimization for multimodal multi-objective optimization - [2020]
A new COVID19 Patients Detection Strategy (CPDS) based on hybrid feature selection and enhanced KNN classifier - [2020]
A new hybrid deep learning model for human action recognition - [2020]
A novel filter feature selection method using rough set for short text data - [2020]
A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques - [2020]
A rapid, accurate and machine-agnostic segmentation and quantification method for CT-based COVID19 diagnosis - [2020]
A self-adaptive synthetic over-sampling technique for imbalanced classification - [2020]
A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion - [2020]
A two-stage modeling approach for breast cancer survivability prediction - [2020]
Adaptive granularity learning distributed particle swarm optimization for large-scale optimization - [2020]
Ambient context-based modeling for health risk assessment using deep neural network - [2020]
An Improved Multi-Modal based Machine Learning Approach for the Prognosis of Alzheimers disease - [2020]
An edge traffic flow detection scheme based on deep learning in an intelligent transportation system - [2020]
An efficient group recommendation model with multiattention-based neural networks - [2020]
An emotional recommender system for music - [2020]
An enhanced neural network approach to person-job fit in talent recruitment - [2020]
An integrated design of particle swarm optimization (PSO) with fusion of features for detection of brain tumor - [2020]
Attention-based LSTM network for rumor veracity estimation of tweets - [2020]
Attention-based context-aware sequential recommendation model - [2020]
Attentive convolutional gated recurrent network: a contextual model to sentiment analysis - [2020]
Automatic emotion recognition using temporal multimodal deep learning - [2020]
Autonomic feature selection using computational intelligence - [2020]
CBRec: a book recommendation system for children using the matrix factorisation and content-based filtering approaches - [2020]
CNN-SkelPose: a CNN-based skeleton estimation algorithm for clinical applications - [2020]
COVID19 time series forecast using transmission rate and meteorological parameters as features - [2020]
Cervical cancer classification using convolutional neural networks and extreme learning machines - [2020]
Classification and prediction of Alzheimers disease using multi-layer perceptron - [2020]
Clustering-based speech emotion recognition by incorporating learned features and deep BiLSTM - [2020]
Contextualized weak supervision for text classification - [2020]
Credit score classification using spiking extreme learning machine - [2020]
Cross-domain sentiment aware word embeddings for review sentiment analysis - [2020]
DNNAce: prediction of prokaryote lysine acetylation sites through deep neural networks with multi-information fusion - [2020]
Deep convolutional neural network for multi-modal image restoration and fusion - [2020]
Deep convolutional neural networks with transfer learning for automated brain image classification - [2020]
Deep learning-based effective fine-grained weather forecasting model - [2020]
Deep multi-view enhancement hashing for image retrieval - [2020]
Deep neural models and retrofitting for arabic text categorization - [2020]
Deep reinforcement learning for imbalanced classification - [2020]
Diversified service recommendation with high accuracy and efficiency - [2020]
Dynamic mode-based feature with random mapping for sentiment analysis - [2020]
Efficient Mining of Outlying Sequence Patterns for Analyzing Outlierness of Sequence Data - [2020]
Efficient text document clustering with new similarity measures - [2020]
Enhanced Android Malware Detectionand Family Classification, using Conversation-level Network Traffic Features - [2020]
Enhancing collaborative road scene reconstruction with unsupervised domain alignment - [2020]
Ensemble learning with label proportions for bankruptcy prediction - [2020]
Evomsa: A multilingual evolutionary approach for sentiment analysis - [2020]
Exploiting Cross-session Information for Session-based Recommendation with Graph Neural Networks - [2020]
HetNERec: Heterogeneous network embedding based recommendation - [2020]
Heterogeneous graph attention network for unsupervised multiple-target domain adaptation - [2020]
Human face recognition with combination of DWT and machine learning - [2020]
Improving depression level estimation by concurrently learning emotion intensity - [2020]
Joint bagged-boosted artificial neural networks: Using ensemble machine learning to improve short-term electricity load forecasting - [2020]
Knowledge based domain adaptation for semantic segmentation - [2020]
Link prediction of scientific collaboration networks based on information retrieval - [2020]
Local Domain Adaptation for Cross-Domain Activity Recognition - [2020]
Location-based personalised recommendation systems for the tourists in India - [2020]
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation - [2020]
Machine learning approach in melanoma cancer stage detection - [2020]
Machine learning for assisting cervical cancer diagnosis: An ensemble approach - [2020]
Moment-guided discriminative manifold correlation learning on ordinal data - [2020]
Multi-aspect aware session-based recommendation for intelligent transportation services - [2020]
Multi-criteria clustering-based recommendation using Mahalanobis distance - [2020]
Multi-source data fusion for aspect-level sentiment classification - [2020]
Neural-network based adaptive context prediction model for ambient intelligence - [2020]
O-MedAL: Online active deep learning for medical image analysis - [2020]
Opinion Analysis for Emotional Classification on Emoji Tweets using the Naive Bayes Algorithm - [2020]
Predicting land surface temperature with geographically weighed regression and deep learning - [2020]
Predicting the ratings of Amazon products using Big Data - [2020]
Prediction of blood pressure variability using deep neural networks - [2020]
Prior guided feature enrichment network for few-shot segmentation - [2020]
Question retrieval using combined queries in community question answering - [2020]
Real-time human posture recognition using an adaptive hybrid classifier - [2020]
SK-GCN: modeling syntax and knowledge via graph convolutional network for aspect-level sentiment classification - [2020]
Semi-Supervised Multi-View Deep Discriminant Representation Learning - [2020]
SensitiveNets: Learning agnostic representations with application to face images - [2020]
Sentiment analysis of Twitter data during critical events through Bayesian networks classifiers - [2020]
Similarity-learning information-fusion schemes for missing data imputation - [2020]
Smart home health monitoring system for predicting type 2 diabetes and hypertension - [2020]
Stock market analysis using candlestick regression and market trend prediction - [2020]
Stock selection heuristics for performing frequent intraday trading with genetic programming - [2020]
TEASER: early and accurate time series classification - [2020]
TS-CHIEF: a scalable and accurate forest algorithm for time series classification - [2020]
Teket: a tree-based unsupervised keyphrase extraction technique - [2020]
Time-frequency representation and convolutional neural network-based emotion recognition - [2020]
TimeFly algorithm: a novel behavior-inspired movie recommendation paradigm - [2020]
Topic and sentiment aware microblog summarization for twitter - [2020]
Toward training recurrent neural networks for lifelong learning - [2020]
Towards class-imbalance aware multi-label learning - [2020]
Transfer learning with dynamic distribution adaptation - [2020]
Transformer based Deep Intelligent Contextual Embedding for Twitter sentiment analysis - [2020]
Travel recommendation via fusing multi-auxiliary information into matrix factorization - [2020]
TrustTF: A tensor factorization model using user trust and implicit feedback for context-aware recommender systems - [2020]
Twin labeled LDA: a supervised topic model for document classification - [2020]
U2Fusion: A unified unsupervised image fusion network - [2020]
Uncertainty quantification using Bayesian neural networks in classification: Application to biomedical image segmentation - [2020]
Using machine learning to predict ovarian cancer - [2020]
VAE-Stega: linguistic steganography based on variational auto-encoder - [2020]
Variational graph neural networks for road traffic prediction in intelligent transportation systems - [2020]
Zero-shot video object segmentation with co-attention siamese networks - [2020]
tBERT: Topic models and BERT joining forces for semantic similarity detection - [2020]
A machine learning based approach to detect malicious android apps using discriminant system calls - [2019]
Applying Simulated Annealing and Parallel Computing to the Mobile Sequential Recommendation - [2019]
DeepRec: A deep neural network approach to recommendation with item embedding and weighted loss function - [2019]
Ensemble machine learning models for aviation incident risk prediction - [2019]
Global stock market investment strategies based on financial network indicators using machine learning techniques - [2019]
Latent Ability Model: A Generative Probabilistic Learning Framework for Workforce Analytics - [2019]
Life Model: A novel representation of life-long temporal sequences in health predictive analytics - [2019]
Recurrent convolutional neural network based multimodal disease risk prediction - [2019]
A Deep Learning Approach to Competing Risks Representation in Peer-to-Peer Lending - [2018]
A Mechanics-Based Similarity Measure for Text Classification in Machine Learning Paradigm - [2018]
A deep architecture for depression detection using posting, behavior, and living environment data - [2018]
A hybrid supervised semi-supervised graph-based model to predict one-day ahead movement of global stock markets and commodity prices - [2018]
A scalable fuzzy support vector machine for fault detection in transportation systems - [2018]
An evaluation of the performance of Restricted Boltzmann Machines as a model for anomaly network intrusion detection - [2018]
Application of eXtreme gradient boosting trees in the construction of credit risk assessment models for financial institutions - [2018]
Automatic Question Tagging with Deep Neural Networks - [2018]
Combining Support Vector Machine with Genetic Algorithms to optimize investments in Forex markets with high leverage - [2018]
Deep learning for affective computing: Text-based emotion recognition in decision support - [2018]
DeepClue: Visual Interpretation of Text-Based Deep Stock Prediction - [2018]
Dynamic Talent Flow Analysis with Deep Sequence Prediction Modeling - [2018]
Enterprise credit risk evaluation based on neural network algorithm - [2018]
Exploring the use of deep neural networks for sales forecasting in fashion retail - [2018]
Forecasting stock market crisis events using deep and statistical machine learning techniques - [2018]
Forecasting stock market index daily direction: A Bayesian Network approach - [2018]
Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models - [2018]
Leveraging deep learning with LDA-based text analytics to detect automobile insurance fraud - [2018]
Leveraging social media news to predict stock index movement using RNN-boost - [2018]
MALTP : Parallel Prediction of Malicious Tweets - [2018]
MSML: A Novel Multilevel Semi-Supervised Machine Learning Framework for Intrusion Detection System - [2018]
Machine Learning for Performance Prediction in Mobile Cellular Networks - [2018]
Machine learning based heterogeneous web advertisements detection using a diverse feature set - [2018]
MalDozer: Automatic framework for android malware detection using deep learning - [2018]
Minimization of water pumps electricity usage: A hybrid approach of regression models with optimization - [2018]
Multilevel factor analysis based online financial credit system - [2018]
Multiple instance learning for credit risk assessment with transaction data - [2018]
Novel set of general descriptive features for enhanced detection of malicious emails using machine learning methods - [2018]
Optimizing outpatient appointment system using machine learning algorithms and scheduling rules: A prescriptive analytics framework - [2018]
Personalized Market Basket Prediction with Temporal Annotated Recurring Sequences - [2018]
Predicting mortgage default using convolutional neural networks - [2018]
Predicting short-term stock prices using ensemble methods and online data sources - [2018]
Rating prediction for recommendation: Constructing user profiles and item characteristics using backpropagation - [2018]
Recognizing emotions in text using ensemble of classifiers - [2018]
Reinforcement learning applied to Forex trading - [2018]
Sequence classification for credit-card fraud detection - [2018]
Social-Aware Sequential Modeling of User Interests: A Deep Learning Approach - [2018]
Temporal Bag-of-Features Learning for Predicting Mid Price Movements Using High Frequency Limit Order Book Data - [2018]
Trading financial indices with reinforcement learning agents - [2018]
Travelers decision making using online review in social network sites: A case on TripAdvisor - [2018]
Using deep Q-learning to understand the tax evasion behavior of risk-averse firms - [2018]
Webpage Depth Viewability Prediction Using Deep Sequential Neural Networks - [2018]
A Pattern-Based Approach for Multi-Class Sentiment Analysis in Twitter - [2017]
A deep learning approach for credit scoring using credit default swaps - [2017]
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