Research topics

Topics follow the earlier academic website. Each link leads to a bibliographic record in the publication catalogue; papers can belong to several topics. Unverified titles are excluded from this view.

Machine Learning and Pattern Recognition

• Kalman filtering based on the maximum correntropy criterion in the presence of non-Gaussian noise (2016)

• ECG arrhythmia classification with support vector machines and genetic algorithm (2009)

• IRAHC: Instance Reduction Algorithm using Hyperrectangle Clustering (2015)

• Ensemble of online neural networks for non-stationary and imbalanced data streams (2013)

• Online neural network model for non-stationary and imbalanced data stream classification (2014)

• Class imbalance handling using wrapper-based random oversampling (2012)

• Emotional maps based on social networks data to analyze cities emotional structure and measure their emotional similarity (2019)

• Probabilistic Kalman filter for moving object tracking (2020)

• Multi-target state estimation using interactive Kalman filter for multi-vehicle tracking (2019)

• Unsupervised kernel least mean square algorithm for solving ordinary differential equations (2011)

• Recursive least square perceptron model for non-stationary and imbalanced data stream classification (2013)

• Online cost-sensitive neural network classifiers for non-stationary and imbalanced data streams (2013)

• Calibration of Soil Model Parameters Using Particle Swarm Optimization (2012)

• Unsupervised adaptive neural-fuzzy inference system for solving differential equations (2010)

• Prediction of Elastic Modulus of Concrete Using Support Vector Committee Method (2013)

• A target-based color space for sea target detection (2012)

• Identifying crisis-related informative tweets using learning on distributions (2020)

• Robust diffusion LMS over adaptive networks (2019)

• A New Hierarchical Clustering Algorithm on Fuzzy Data (FHCA) (2010)

• LMIRA: Large Margin Instance Reduction Algorithm (2014)

• Non-stationary concept of accident prediction (2017)

• Creating and measuring diversity in multiple classifier systems using support vector data description (2011)

• Intelligent Arrhythmia Detection Using Genetic Algorithm and Emphatic SVM (ESVM) (2009)

• Image annotation based on multi-view robust spectral clustering (2021)

• Introducing prior knowledge for a hybrid accident prediction model (2017)

• Correlation based splitting criterionin multi branch decision tree (2011)

• Convergence behavior of diffusion stochastic gradient descent algorithm (2021)

• Diversity-based diffusion robust RLS using adaptive forgetting factor (2021)

• Gravitation based classification (2013)

• DDC: distance-based decision classifier (2012)

• Ellipse Support Vector Data Description (2009)

• Robust support vector machine-trained fuzzy system (2014)

• A kernel least mean square algorithm for fuzzy differential equations and its application in earth’s energy balance model and climate (2020)

• Improved DAG SVM: A New Method for Multi-Class SVM Classification (2009)

• Relaxed constraints support vector machines for noisy data (2011)

• A new modeling algorithm - Normalized Kernel Least Mean Square (2009)

• The probabilistic constraints in the support vector machine (2007)

• Hyperspectral image denoising via clustering-based latent variable in variational Bayesian framework (2021)

• A drift aware adaptive method based on minimum uncertainty for anomaly detection in social networking (2020)

• Large symmetric margin instance selection algorithm (2016)

• Sparse Bayesian approach for metric learning in latent space (2019)

• Constrained semi-supervised growing self-organizing map (2015)

• An extension to fuzzy support vector data description (FSVDD*) (2012)

• Anomaly detection and foresight response strategy for wireless sensor networks (2015)

• Hierarchical tree clustering of fuzzy number (2014)

• Fuzzy min–max neural network for learning a classifier with symmetric margin (2015)

• Fuzzy clustering algorithm for fuzzy data based on α-cuts (2013)

• Vector fuzzy C-means (2013)

• Relaxed constraints support vector machine (2012)

• Fuzzy support vector regression (2011)

• Quasi Support Vector Data Description (QSVDD) (2012)

• Classification of imprecise data using interval Fisher discriminator (2011)

• Emphatic Constraints Support Vector Machines for Multi-class Classification (2009)

• Robust Heterogeneous C-means (2020)

• Robust semi-supervised growing self-organizing map (2018)

• Bayesian filter based on the wisdom of crowds (2018)

• Hierarchical cooperation of experts in learning from crowds (2016)

• Semi-supervised GSOM integrated with extreme learning machine (2016)

• A Novel Neuron in Kernel Domain (2013)

• Classification of fuzzy data based on the support vector machines (2013)

• Constrained classifier: a novel approach to nonlinear classification (2013)

• SVBO: Support Vector-Based Oversampling for handling class imbalance in k-NN (2012)

• Constraint excluded classifier (2012)

• Shell fitting space for classification (2011)

• Curve fitting space for classification (2011)

• Support vector regression with fuzzy target output (2011)

• Fuzzy cost support vector regression on the fuzzy samples (2011)

• Constraint learning using adaptive neural‐fuzzy inference system (2010)

• Emphatic Constraints Support Vector Machine (2010)

• Intrusion Detection by Ellipsoid Boundary (2010)

• A New Support Vector Data Description with Fuzzy Constraints (2010)

• Fuzzy Bayesian Classification of LR Fuzzy Numbers (2009)

• Designing Kernel Scheme for Classifiers Fusion (2009) — Preprint

• Kernel Least Mean Square Features for HMM-Based Signal Recognition (2010)

• Intrusion Detection by New Data Description Method (2010)

• A New Tree Clustering Algorithm for Fuzzy Data Based on Alpha-Cuts (2009)

• Robust Support Vector Machines with Low Test Time (2015)

• Robust classification via clipping-based kernel recursive least lncosh of error (2022)

• Task weighting based on particle filter in deep multi-task learning with a view to uncertainty and performance (2023)

• Semantic labeling of social big media using distributed online robust classification (2024)

• A Self-Distilled Learning to Rank Model for Ad-hoc Retrieval (2024)

• ListMAP: Listwise learning to rank as maximum a posteriori estimation (2022)

• relf: robust regression extended with ensemble loss function (2019)

• Combination of loss functions for deep text classification (2020)

• Universal approximation by using the correntropy objective function (2017)

• Sparse online feature maps (2018)

• Fuzzy Relevance Feedback in the Semantic Image Retrieval. (2018)

• Outlier absorbing based on a Bayesian approach (2016)

• Fuzzy Constraints Linear Discriminant Analysis (2016)

• Label denoising based on Bayesian aggregation (2017)

• Active robust learning (2016)

Signal and Image Processing

• An eigenspace-based approach for human fall detection using integrated time motion image and neural network (2008)

• An eigenspace-based approach for human fall detection using Integrated Time Motion Image and multi-class Support Vector Machine (2008)

• Car tracking by quantised input LMS, QX-LMS algorithm in traffic scenes (2006)

• Vehicle tracking with Kalman filter using online situation assessment (2020)

• MVDF-RSC: Multi-view data fusion via robust spectral clustering for geo-tagged image tagging (2021)

• cCUDA: Effective co-scheduling of concurrent kernels on GPUs (2019)

• Robustness of convolutional neural network models in hyperspectral noisy datasets with loss functions (2021)

• Modified-mean-shift-based noisy label detection for hyperspectral image classification (2021)

• Modified Clipped LMS Algorithm (2005)

• Investigation on the Effect of Data Imbalance on Prediction of Liquefaction (2013)

• Prediction of liquefaction potential based on CPT up-sampling (2012)

• Situation assessment-augmented interactive Kalman filter for multi-vehicle tracking (2021)

• Analysis of robust recursive least squares: Convergence and tracking (2021)

• Crowd analysis using bayesian risk kernel density estimation (2019)

• Ordinary differential equations solution in kernel space (2012)

• Kalman Filter Reinforced by Least Mean Square for Systems with Unknown Inputs (2018)

• Temporal and spatial monitoring and prediction of epidemic outbreaks (2014)

• Activity Recognition In Smart Home Using Weighted Dempster-Shafer Theory (2013)

• Support Vector Data Description by using hyper-ellipse instead of hyper-sphere (2011)

• Feature selection in spectral clustering (2011)

• The Wheatstone bridge-based analog adaptive filter with application in echo cancellation (2010)

• A Novel Approach in Video Scene Background Estimation (2010)

• Best Clustering Around the Color Images (2009)

• A PSO Tuning Approach for Lip Detection on Color Images (2008)

• Cloning detection scheme based on linear and curvature scale space with new false positive removal filters (2022)

• Density-oriented linear discriminant analysis (2022)

• Minimum variance based-Bayes Combination for prediction of soil properties on Vis-NIR reflectance spectroscopy (2020)

• Convergence and performance analysis of kernel regularized robust recursive least squares (2020)

• Robust sentiment fusion on distribution of news (2019)

• BACKGROUND ESTIMATION IN KERNEL SPACE (2011)

• Active noise cancellation of variable frequency narrow band noise using mixture of RLS and LMS algorithms (2009)

• Edge preserving range image smoothing using hybrid locally kernel-based weighted least square (2022)

• Efficient Land-cover segmentation using Meta fusion (2016)

• Multiclass classifier based on boundary complexity (2014)

• Diffusion-based Kalman iterative thresholding for compressed sampling recovery over network (2023)

• Functional gradient approach to probabilistic minimax active learning (2019)

• Improving signal subspace identification using weighted graph structure of data (2017)

• A recursive algorithm for optimizing differentiation (2014)

• Bayesian framework selection for hyperspectral image denoising (2022)

• Variational Bayesian inference in Noise Removal from Hyperspectral Images Using Cluster-Based Latent Variables (2021)

• Incorporating Nonparametric Knowledge to the Least Mean Square Adaptive Filter (2019)

• Automated Detection of Region of Interest using Non-Parametric Distribution Based on Bayesian Risk (2020)

• Cautious Classification of Hyper Rectangular, Hyper Circular, and Hyper Oval with a Maximum Symmetric Margin Relative to the Data Edge (2019)

• Automatic Image Annotation by Block Principal Pivoting (2019)

• Particle Filter with Adaptive Observation Model (2016)

• Sentiment Analysis of Persian Documents using Optimal Transform Domain (2016)

• Geometrical Self-Organizing Map Classifier Based on Active Learning for Steganalysis in the Video Environment by Spending at Least a Label (2018)

• Handover Management between Femtocell and Macrocell Using Geo-Based Spectral Clustering (2018)

• Blind Video Steganalysis by Semi-Supervised Approach for Motion Vectors Based Steganography Algorithms (2020)

• Semi-Supervised Learning Based on Extreme Learning (2020)

• Kernel Least Mean Square Features for HMM-Based Signal Recognition (2010)

• Linear and Quadratic PSO Based Color Space Conversion for Sea Target Detection (2010)

• A Novel Color Space Creating Method Applied to Skin Color Detection (2009)

• Duct Modeling Using the Generalized RBF Neural Network for Active Cancellation of Variable Frequency Narrow Band Noise (2006)

• Clipped Input RLS Applied to Vehicle Tracking (2005)

• Vehicle Tracking at Traffic Scene with Modified RLS (2004)

• A New and Robust AMP Algorithm for Non IID Matrices Based on Bayesian Theory in Compressed Sensing (2020)

• Sentimental content analysis and knowledge extraction from news articles (2018)

• Online discriminative component analysis feature extraction from stream data with domain knowledge (2014)

• A Semantic Feedback Framework for Image Retrieval (2010)

• Image semantic retrieval using image fuzzification based on weighted relevance feedback (2010)

• SVM-based Relevance Feedback for semantic video retrieval (2009)

• SURFACE EFFECT CORRECTION OF MOISTURE DETERMINATION BY NEUTRON PROBE USING PSO TECHNIQUE AND MCNP (2009)

• An Efficient Parallel Eye Detection Algorithm on Facial Color Images (2008)

• Quantum Corrections in the Drift-Diffusion Model (2007)

• A Short Term and Long Term Learning Based on Fuzzy Transaction Repository and Feature Re-Weighting (2008)

• Reliable Vehicle Detection and Tracking on Highways Using the Geo-Heinz Corner Response, Density-Based Clustering (2025) — Preprint

Neural Networks and Fuzzy Systems

• Fuzzy complex system of linear EquationsApplied to circuit analysis (2009)

• Fuzzy Temperature Control in a Batch Polymerization Reactor Using ANFIS Method (2009)

• Neuro-fuzzy based constraint programming (2010)

• Robust hybrid learning approach for adaptive neuro-fuzzy inference systems (2024)

• Fuzzy min–max neural network for learning a classifier with symmetric margin (2015)

• Going Concern Prediction of Iranian Companies by Using Fuzzy C-Means (2012)

• Correntropy-based constructive one hidden layer neural network (2024)

• FCM-fuzzy rule base: A new rule extraction mechanism (2011)

• Constraint learning using adaptive neural‐fuzzy inference system (2010)

• A recurrent neural network-based method for training probabilistic Support Vector Machine (2009)

• Pedestrian tracking using single camera with new extended Kalman filter (2008)

• Model-based fuzzy c-shells clustering (2012)

Tracking and Detection Systems

• Probabilistic Kalman filter for moving object tracking (2020)

• Multi-target state estimation using interactive Kalman filter for multi-vehicle tracking (2019)

• Car tracking by quantised input LMS, QX-LMS algorithm in traffic scenes (2006)

• Vehicle tracking with Kalman filter using online situation assessment (2020)

• Situation assessment-augmented interactive Kalman filter for multi-vehicle tracking (2021)

• Vehicle Tracking at Traffic Scene with Modified RLS (2004)

• Clipped Input RLS Applied to Vehicle Tracking (2005)

• Pedestrian tracking using single camera with new extended Kalman filter (2008)

• Gait Recognition Based on Invariant Leg Classification Using a Neuro-Fuzzy Algorithm as the Fusion Method (2012)

• Robust scene aware multi-object tracking for surveillance videos (2025)

• Enhancing multi-target tracking stability using knowledge graph integration within the Gaussian Mixture Probability Hypothesis Density Filter (2024)

• Robust Multi-Target Tracking with Integrated Knowledge Model, Graph Structures, and Statistical Analysis in Unobservable Environments (2024) — Preprint

• Integrated Knowledge Graph Model and Statistical Analysis for Multi-Target Tracking with Prediction of Non-Identical Periodic Events and Unobservable Environments (2024) — Preprint

Other Topics (e.g., Optimization, Compression, Miscellaneous)

• Financial Distress Prediction of Iranian Companies Using Data Mining Techniques (2013)

• Going Concern Prediction of Iranian Companies by Using Fuzzy C-Means (2012)

• An Empirical Modeling of Companies Using Support Vector Data Description (2010)

• Using pattern matching for tiling and packing problems (2007)

• Eigenvalue spread criteria in the particle swarm optimization algorithm for solving of constraint parametric problems (2007)

• Particle Swarm Optimization-Based Rectangular Microstrip Antenna Designing (2009)

• Metric selection for gpu kernel classification (2019)

• Enhancing performance of graphics processing units through better scheduling of concurrent kernels (2017)

• A fair routing protocol using generic utility based approach in Wireless Sensor Networks (2009)

• 1-D chaincode pattern matching for compression of Bi-level printed farsi and arabic textual images (2009)

• A lossy/lossless compression method for printed typeset bi-level text images based on improved pattern matching (2009)

• Farsi and Arabic document images lossy compression based on the mixed raster content model (2009)

• An improved pattern matching technique for lossy/lossless compression of binary printed Farsi and Arabic textual images (2009)

• Event reconstruction using temporal pattern of file system modification (2019)

• Computing trust resultant using intervals (2011)

• SIP Header based Feature Extraction for SPIT Attacks in a Comprehensive ANTI-SPIT Framework (2011)

• Intrusion Detection by Ellipsoid Boundary (2010)

• Portfolio Management Based on Well-Behaved Shares with Markowitz’s Mean-Variance Approach (2023) — Preprint

• SURFACE EFFECT CORRECTION OF MOISTURE DETERMINATION BY NEUTRON PROBE USING PSO TECHNIQUE AND MCNP (2009)

• A New Quantized Input RLS, QI-RLS, Algorithm (2007)

• Quantum Corrections in the Drift-Diffusion Model (2007)

• Biomechanical Ingredients Measurement: A New Vision-Based Approach (P102) (2008)

• CSRWA: Covert and Severe Attacks Resistant Watermarking Algorithm (2025)

• A distributed learning based on robust diffusion SGD over adaptive networks with noisy output data (2024)

• Prepare for the worst, hope for the best: Active robust learning on distributions (2021)

• Management of the optimizer’s curse concept in single-task diffusion networks (2023)

• Randomized Constructive Neural Network Based on Regularized Minimum Error Entropy (2023)

• Sparsity-aware support vector data description reinforced by expectation maximization (2022)

• Collaborative linear dynamical system identification by scarce relevant/irrelevant observations (2019)

• Sparse Bayesian similarity learning based on posterior distribution of data (2018)

• Making Diversity Enhancement Based on Multiple Classifier System by Weight Tuning (2012)

• Gravitation based classification (2013)

• Extended decision template presentation for combining classifiers (2011)

• Extending Dempster Shafer method by multilayer decision template in classifier fusion (2011)

• A Hierarchical Possibilistic Clustering (2009)

• An Efficient Parallel Eye Detection Algorithm on Facial Color Images (2008)

• Model-based fuzzy c-shells clustering (2012)

• Eigenvector selection in spectral clustering using Tabu Search (2011)

• FCM-fuzzy rule base: A new rule extraction mechanism (2011)

• Edge/corner programming (2011)

• A Semantic Feedback Framework for Image Retrieval (2010)

• Linear and Quadratic PSO Based Color Space Conversion for Sea Target Detection (2010)

• Kernel Least Mean Square Features for HMM-Based Signal Recognition (2010)

• A new modeling algorithm - Normalized Kernel Least Mean Square (2009)

• Fisher over Fuzzy Samples (2009)

• Best Clustering Around the Color Images (2009)

• SVM-based Relevance Feedback for semantic video retrieval (2009)

• ECG arrhythmia classification with support vector machines and genetic algorithm (2009)

• A New Tree Clustering Algorithm for Fuzzy Data Based on Alpha-Cuts (2009)

• A recurrent neural network-based method for training probabilistic Support Vector Machine (2009)

• Fuzzy Temperature Control in a Batch Polymerization Reactor Using ANFIS Method (2009)

• Fuzzy Bayesian Classification of LR Fuzzy Numbers (2009)

• Active noise cancellation of variable frequency narrow band noise using mixture of RLS and LMS algorithms (2009)

• Designing Kernel Scheme for Classifiers Fusion (2009) — Preprint

• A Novel Color Space Creating Method Applied to Skin Color Detection (2009)

• Emphatic Constraints Support Vector Machine (2010)

• The Median Loss Function (2023) — Preprint

• Elastic matching through the lens of probability and divergence in time series prediction (2025)

• Distributed Learning Framework for Multi-timeframe Data Modelling in Financial Multi-step Forecasting (2025)

• Adaptive Locally Linear Embedding (2025) — Preprint

• Preserving data distribution in sampling and instance selection with Renyi’s divergence (2025)

• Adaptive-A-GCRNN: Enhancing Real-Time Multi-Band Spectrum Prediction Through Attention-Based Spatial-Temporal Modeling (2024)

• CPT-Based Liquefaction Probabilistic Triggering Using a New Adaptive Kernel Density Estimation Method (2024)

• Information Diffusion Across Multi-Scale Time Series for Expanding Forecasting Horizons (2024) — Preprint

• Information Diffusion Across Multiple Time Frames: A Comprehensive Analysis in Time Series Forecasting (2023) — Preprint