PYTHON DEEP LEARNING 2022-2023

SNO

MACHINE LEARNING PYTHON 2022-2023

OK4MLC01

A BP Neural Network Based Recommender Framework with Attention Mechanism

OK4MLC02

A Deep Neural Network for Crossing-City POI Recommendations

OK4MLC03

A High-Performance Index for Real-Time Matrix Retrieval

OK4MLC04

A Multi-criteria Approach for Fast and Robust Representative Selection from Manifolds

OK4MLC05

A Novel Method for Creating an Optimized Ensemble Classifier by Introducing Cluster Size Reduction and Diversity

OK4MLC06

A Review of Single-Source Deep Unsupervised Visual Domain Adaptation

OK4MLC07

A Survey on Knowledge Graph-Based Recommender Systems

OK4MLC08

A Survey on Modern Deep Neural Network for Traffic Prediction Trends, Methods and Challenges

OK4MLC09

Adaptive Hierarchical Attention-Enhanced Gated Network Integrating Reviews for Item Recommendation

OK4MLC10

Adaptive Lower-level Driven Compaction to Optimize LSM-Tree Key-Value Stores

OK4MLC11

A Deep Multi-View Framework for Anomaly Detection on Attributed Networks

OK4MLC12

A Hybrid System Based on Dynamic Selection for Time Series Forecasting

OK4MLC13

A Review for Weighted MinHash Algorithms

OK4MLC14

A Survey on Large-scale Machine Learning

OK4MLC15

Adaptive Local Embedding Learning for Semi-supervised Dimensionality Reduction

OK4MLC16

An Experimentation Platform for On-Chip Integration of Analog Neural Networks A Pathway to Trusted and  Robust AnalogRF ICs

OK4MLC17

Analysis on the Number of Linear Regions of Piecewise Linear Neural Networks

OK4MLC18

Bioinspired Scene Classification by Deep Active Learning With Remote Sensing Applications

OK4MLC19

Capri Consensus Accelerated Proximal Reweighted Iteration for A Class of Nonconvex Minimizations

OK4MLC20

Cold-Start Active Sampling via γ -Tube

OK4MLC21

A heterogeneous ensemble learning method for neuroblastoma survival prediction

OK4MLC22

A Survey on Data Pricing from Economics to Data Science

OK4MLC23

An Adaptive Social Spammer Detection Model with Semi-supervised Broad Learning

OK4MLC24

BayesFlow Learning Complex Stochastic Models With Invertible Neural Networks

OK4MLC25

Clustering Analysis via Deep Generative Models With Mixture Models

OK4MLC26

Conditional Random Fields for Multiview Sequential Data Modeling

OK4MLC27

CuWide Towards Efficient Flow-based Training for Sparse Wide Models on GPUs

OK4MLC28

Database Meets AI A Survey

OK4MLC29

Deep Constraint-based Propagation in Graph Neural Networks

OK4MLC30

Deep Ladder-Suppression Network for Unsupervised Domain Adaptation

OK4MLC31

A Novel Discriminative Dictionary Pair Learning Constrained by Ordinal Locality for Mixed Frequency Data Classification

OK4MLC32

An IO Efficient Model Checking Algorithm for Large-Scale Systems

OK4MLC33

Composite Kernel of Mutual Learning on Mid-Level Features for Hyperspectral Image Classification

OK4MLC34

Data Representation by Joint Hypergraph Embedding and Sparse Coding

OK4MLC35

Deep Cross-Output Knowledge Transfer Using Stacked-Structure Least-Squares Support Vector Machines

OK4MLC36

Deep Pairwise Hashing for Cold-start Recommendation

OK4MLC37

Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model

OK4MLC38

Domain-adversarial Network Alignment

OK4MLC39

Efficient Algorithms for Kernel Aggregation Queries-

OK4MLC40

Enhanced Discrete Multi-modal Hashing More Constraints yet Less Time to Learn

      OK4MLC41

Deep Attention-Based Imbalanced Image Classification

OK4MLC42

Feature Selection Boosted by Unselected Features

OK4MLC43

Group Sampling for Scale Invariant Face Detection

OK4MLC44

Hypergraph Learning Methods and Practices

OK4MLC45

Improving Speech Emotion Recognition With Adversarial Data Augmentation Network

OK4MLC46

Interactive Isogeometric Volume Visualization with Pixel-Accurate Geometry

OK4MLC47

Iterative Refinement for Multi-source Visual Domain Adaptation

OK4MLC48

Large-Scale Affine Matrix Rank Minimization With a Novel Nonconvex Regularizer

OK4MLC49

Learnable Weighting of Intra-Attribute Distances for Categorical Data Clustering with Nominal and Ordinal Attributes

OK4MLC50

Learning Latent Representation for IoT Anomaly Detection

     OK4MLC51

CAMU Cycle-Consistent Adversarial Mapping Model for User Alignment across Social Networks

OK4MLC52

Deep Visual Odometry with Adaptive Memory

OK4MLC53

Enhancing Factorization Machines with Generalized Metric Learning

OK4MLC54

Fully Dynamic k-Center Clustering with Improved Memory Efficiency

OK4MLC55

Gradual Machine Learning for Entity Resolution

OK4MLC56

HAM Hybrid Associations Models for Sequential Recommendation

OK4MLC57

Hierarchical Prediction and Adversarial Learning For Conditional Response Generation

OK4MLC58

Hypergraph Partitioning With Embeddings

OK4MLC59

Improving EEG Decoding via Clustering-Based Multitask Feature Learning

OK4MLC60

Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal

OK4MLC61

Active Learning for Estimating Reachable Sets for Systems With Unknown Dynamics

OK4MLC62

Consensus One-step Multi-view Subspace Clustering

OK4MLC63

Deep Learning for Spatio-Temporal Data Mining A Survey

OK4MLC64

Discriminative Mixture Variational Autoencoder for Semisupervised Classification

OK4MLC65

Encoding high-cardinality string categorical variables

OK4MLC66

Fairness in Semi-supervised Learning Unlabeled Data Help to Reduce Discrimination

OK4MLC67

FEM Optimization of Energy Density in Tumor Hyperthermia Using Time-Dependent Magnetic Nanoparticle Power Dissipation

OK4MLC68

GAIN Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs

OK4MLC69

Global Negative Correlation Learning A Unified Framework for Global Optimization of Ensemble Models

OK4MLC70

Graph Neural Network for Fraud Detection via Spatial-temporal Attention

     OK4MLC71

Dynamic Double Classifiers Approximation for Cross-Domain Recognition

OK4MLC72

Head Pose Estimation Based on Multivariate Label Distribution

OK4MLC73

Industrial Power Load Forecasting Method Based on Reinforcement Learning and PSO-LSSVM

OK4MLC74

Large Scale Network Embedding A Separable Approach

OK4MLC75

Learning Fuzzy Automaton’s Event Transition Matrix When Post-Event State Is Unknown

OK4MLC76

Link Prediction Based on Stochastic Information Diffusion

OK4MLC77

Minority Sub-region Estimation-based Oversampling for Imbalance Learning

OK4MLC78

Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation

OK4MLC79

More Than Privacy Applying Differential Privacy in Key Areas of Artificial Intelligence

OK4MLC80

Multi-layer Feature Learning for Domain Generalization and Adaptation

      OK4MLC81

Imbalanced Data Classification via Cooperative Interaction Between Classifier and Generator

OK4MLC82

Manifold Modeling in Embedded Space An Interpretable Alternative to Deep Image Prior

OK4MLC83

Multisource-Refined Transfer Network for Industrial Fault Diagnosis Under Domain and Category Inconsistencies

OK4MLC84

Multiview Subspace Clustering With Grouping Effect

OK4MLC85

Optimizing Attention for Sequence Modeling via Reinforcement Learning

OK4MLC86

PPD A Scalable and Efficient Parallel Primal-Dual Coordinate Descent Algorithm

OK4MLC87

PRIMAL-GMM PaRametrIc MAnifold Learning of Gaussian Mixture Models

OK4MLC88

Progressive Self-Supervised Clustering With Novel Category Discovery

OK4MLC89

Regularization on Augmented Data to Diversify Sparse Representation for Robust Image Classification

OK4MLC90

Representation Learning with Multi-level Attention for Activity Trajectory Similarity Computation

            OK4MLC91

GarNet++ Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss

OK4MLC92

Item Concept Network Towards Concept-based Item Representation Learning

OK4MLC93

Learning to Solve Task-Optimized Group Search for Social Internet of Things

OK4MLC94

Mixture Correntropy-Based Kernel Extreme Learning Machines

OK4MLC95

Multi-Dimensional Randomized Response

OK4MLC96

Multi-Task Weakly-Supervised Attention Network for Dementia Status Estimation With Structural MRI

OK4MLC97

Multiview Feature Learning With Multiatlas-Based Functional Connectivity Networks for MCI Diagnosis

OK4MLC98

Neuroscience and Network Dynamics Toward Brain-Inspired Intelligence

OK4MLC99

Optimal Scale Combination Selection Integrating Three-Way Decision With Hasse Diagram

OK4MLC100

Performance Improvement of a Parsimonious Learning Machine Using Metaheuristic Approaches

                 OK4MLC101

Online Reinforcement Learning Control by Direct Heuristic Dynamic Programming From Time-Driven to Event-Driven

OK4MLC102

Robust Rank-Constrained Sparse Learning A Graph-Based Framework for Single View and Multiview Clustering

OK4MLC103

Semi-supervised Concept Learning by Concept-cognitive Learning and Concept Space

OK4MLC104

Small Low-Contrast Target Detection Data-Driven Spatiotemporal Feature Fusion and Implementation

OK4MLC105

SR-EM Episodic Memory Aware of Semantic Relations Based on  Hierarchical Clustering Resonance Network

OK4MLC106

T-PAIR Temporal Node-pair Embedding for Automatic Biomedical Hypothesis Generation

OK4MLC107

Unsupervised Domain Adaptation via Discriminative Manifold Propagation

OK4MLC108

Unsupervised Feature Learning Architecture with Multi-clustering Integration RBM

OK4MLC109

Using Randomness to Improve Robustness of Tree-based Models Against Evasion Attacks

OK4MLC110

Unsupervised Ensemble Classification with Sequential and Networked Data

                      OK4MLC111

Momentum Acceleration in the Individual Convergence of Nonsmooth Convex Optimization With Constraints

OK4MLC112

Preference and Constraint Factor Model for Event Recommendation

OK4MLC113

Representative Task Self-Selection for Flexible Clustered Lifelong Learning

OK4MLC114

Role-based Graph Embeddings

OK4MLC115

Segmented Generative Networks Data Generation in the Uniform Probability Space

OK4MLC116

Semisupervised Multiple Choice Learning for Ensemble Classification

OK4MLC117

Short Text Topic Modeling Techniques, Applications, and Performance A Survey

OK4MLC118

Social Attentive Deep Q-networks for Recommender Systems

OK4MLC119

Spectral–Temporal Receptive Field-Based Descriptors and Hierarchical Cascade Deep Belief Network for Guitar Playing Technique Classification

OK4MLC120

Ternary Compression for Communication-Efficient Federated Learning

                           OK4MLC121

Learnable Subspace Clustering

OK4MLC122

Multi-view Consensus Proximity Learning for Clustering

OK4MLC123

PGeoTopic A Distributed Solution for Mining Geographical Topic Models

OK4MLC124

Prior Guided Feature Enrichment Network for Few-Shot Segmentation

OK4MLC125

Representation Learning from Limited Educational Data with Crowdsourced Labels

OK4MLC126

RGBT Tracking via Noise-Robust Cross-Modal Ranking

OK4MLC127

Robust Variational Learning for Multiclass Kernel Models with Stein Refinement

OK4MLC128

Rossi Learning Backtrackless Aligned 2020 Accepted

OK4MLC129

Scaling Up Generalized Kernel Methods

      OK4MLC130

Semantic Interpretation of Top-N Recommendations

                           OK4MLC131

Toward Predicting Active Participants in Tweet Streams A case study on Two Civil Rights Events

OK4MLC132

Transductive Multiview Modeling With Interpretable Rules, Matrix Factorization, and Cooperative Learning

OK4MLC133

Realization of Spatial Sparseness by Deep ReLU Nets With Massive Data

OK4MLC134

Saliency-Based Multilabel Linear Discriminant Analysis

OK4MLC135

Sharing Matters for Generalization in Deep Metric Learning

OK4MLC136

Spatio-Temporal-Spectral Hierarchical Graph Convolutional Network With Semisupervised Active Learning for Patient-Specific Seizure Prediction