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| # | Type | Title | Author | Publisher | Pub. Year | Subjects | Call Number |
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| 1 | مقاله | Image-based cell profiling enhancement via data cleaning methods | Rezvani, A. | Public Library of Science, | 2022 |
Algorithm.
Cell activity. Cell death. Cell profiling. Cell viability. Cleaning. Deep learning. Drug development. Drug mechanism. Drug toxicity. Error. High throughput analysis. Histogram. Human. Hypothesis. Image analysis. Linear regression analysis. Machine learning. Mathematical model. Microscopy. Outlier detection. Phenotype. Pipeline. Toxicity. Training. Cell nucleus. Image enhancement. Image processing. Procedures. Image Processing, Computer-Assisted. |
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| 2 | مقاله | Supervised neighborhood graph construction for semi-supervised classification | Rohban, M. H. | 2012 |
Graph-based semi-supervised learning.
Manifold assumption. Neighborhood graph construction. Classification tasks. Data labels. Data noise. Data sets. Geometrical property. Graph construction. Graph-based methods. Graph-construction method. Hypothesis space. Neighborhood graphs. Number of datum. Semi-supervised classification. Semi-supervised learning. State-of-the-art methods. Subgraphs. Algorithms. Optimization. Supervised learning. |
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| 3 | مقاله | Signal extrapolation for image and video error concealment using gaussian processes with adaptive nonstationary kernels | Asheri, H. | IEEE, | 2012 |
Adaptive nonstationary kernel.
Bayesian inference. Gaussian process. Multidirectional extrapolation. Adaptive kernels. Bayesian inference. Blurred edges. Corrupted data. Frame-work. Gaussian processes. Gaussian process priors. Image and video communication. Multi-directional. Nonstationary. Signal extrapolation. State-of-the-art algorithms. Subjective evaluations. Video error concealment. Bayesian networks. Extrapolation. Gaussian noise (electronic) Inference engines. Gaussian distribution. |
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| 4 | مقاله | Face recognition across large pose variations via boosted tied factor analysis | Khaleghian, S. | 2011 |
Boosting algorithm.
Data sets. Discriminative training. Face recognition performance. Factor analysis. Generative model. Holistic approach. Pose variation. Training data. Computer applications. Computer vision. Face recognition. |
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| 5 | مقاله | Face virtual pose generation using multi resolution subspaces | Rohban, M. H. | 2008 |
Face generation.
ICA. Subspace methods. Undecimated Wavelet Transform. Virtual Pose. Hemodynamics. Independent component analysis. Mathematical transformations. Multiresolution analysis. Regression analysis. Face recognition. |
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| 6 | مقاله | ZeroGrad: costless conscious remedies for catastrophic overfitting in the FGSM adversarial training | Golgooni, Z. | Elsevier B.V, | 2023 |
Adversarial robustness.
Catastrophic overfitting. Deep learning. Fast adversarial training. FGSM training. |
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| 7 | مقاله | Incorporating betweenness centrality in compressive sensing for congestion detection | Ayatollahi Tabatabaii, H. S. | 2013 |
Compressive sensing.
Network tomography. Prior knowledge. Betweenness centrality. Congested links. Congestion detection. Objective functions. Real data sets. Computer simulation. Knowledge based systems. Signal reconstruction. |
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| 8 | مقاله | A Bayesian approach to the data description problem | Ghasemi, A. | 2012 |
Arbitrary boundary.
Bayesian approaches. Bayesian frameworks. Class boundary. Feature space. Kernel space. One-class learning. Prior knowledge. Real-world datasets. State-of-the-art approach. Unlabeled data. Artificial intelligence. Bayesian networks. Learning algorithms. Data description. |
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| 9 | مقاله | Active learning from positive and unlabeled data | Ghasemi, A. | 2011 |
Learning from positive and unlabeled data.
Uncertainty sampling. Active Learning. Active-learning algorithm. Empirical analysis. Expected values. Hyper-parameter. Informativeness. Multiclass classification problems. One-class learning. Probability densities. Real world situations. Semi-supervised learning. Unlabeled data. Data mining. Learning algorithms. |
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| 10 | مقاله | Graph based semi-supervised human pose estimation: When the output space comes to help | Pourdamghani, N. | Elsevier, | 2012 |
Graph-based.
Human activities. Human pose estimations. Input and outputs. Input space. K-nearest neighbors. Manifold regularization. Nearest neighbors. Optimal graphs. Regularization framework. Semi-supervised. State-of-the-art methods. Subgraphs. Unlabeled data. Algorithms. Graphic methods. |
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| 11 | مقاله | Motion vector recovery with Gaussian process regression | Asheri, H. | 2011 |
Bayesian estimations.
Bayesian frameworks. Error concealment. Gaussian process regression. Kernel construction. Kernel function. Motion vector recovery. Motion Vectors. Packet loss rates. Packet video. State of the art. Algorithms. Bayesian networks. Estimation. Gaussian noise (electronic) Image coding. Regression analysis. Signal processing. Speech communication. Vectors. Gaussian distribution. |
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| 12 | مقاله | Manifold coarse graining for online semi-supervised learning | Farajtabar, M. | 2011 |
Spectral Coarse Graining.
Coarse Graining. Harmonic solution. Label Propagation. Manifold Assumption. On-line classification. Semi-supervised learning. Algorithms. Hydraulic structures. Supervised learning. |
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| 13 | مقاله | A gaussian process regression framework for spatial error concealment with adaptive kernels | Asheri, H. | 2010 |
Adaptive kernels.
Block edges. Covariance function. Gaussian process regression. Gaussian Processes. Kernel function. Kernel parameter. Local estimation. Macro block. Packet video. Spatial error concealment. Subjective evaluations. Video compression. Data compression. Estimation. Gaussian noise (electronic) Image compression. Pattern recognition. Gaussian distribution. |
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| 14 | مقاله | Active one-class learning by kernel density estimation | Ghasemi, A. | 2011 |
Active Learning.
Active learning methods. Artificial datasets. Image retrieval systems. Kernel Density Estimation. Learning tasks. Multiclass classification problems. One-class learning. Outlier Detection. Real world situations. Unlabeled data. Unlabeled samples. User relevance feedbacks. Feedback. Image retrieval. Learning systems. Search engines. Signal processing. Learning algorithms. |
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| 15 | مقاله | Isograph: Neighbourhood graph construction based on geodesic distance for semi-supervised learning | Ghazvininejad, M. | 2011 |
Graph construction.
Data points. Edge weights. Euclidean distance. Graph-construction method. Key component. Manifold. Neighbourhood graphs. Real world data. Semi-supervised classification method. Semi-supervised learning. Theoretical bounds. Data mining. Geodesy. Supervised learning. |
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| 16 | مقاله | KILLING IT WITH ZERO-SHOT: ADVERSARIALLY ROBUST NOVELTY DETECTION | Mirzaei, H. | 2024 |
Adversarial robustness.
Anomaly detection. Zero-shot learning. |
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| 17 | مقاله | User voices, platform choices: social media policy puzzle with decentralization salt | Elahimanesh, S. | 2024 |
Decentralization.
Decentralized Policy. Behavioral research. Social networking (online) 'current. Content censorship. Decentralisation. Decentralised. Decentralized policies. Digital era. Policy making. Social media. Social media platforms. Social network. Decision making. |
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| 18 | مقاله | Wave and tidal energy: a patent landscape study | Pazhouhan, M. R. | 2024 |
BERTopic.
Large language models. Patent analysis. Tidal energy. Topic modeling. Wave energy. |
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| 19 | مقاله | A data-centric approach for improving adversarial training through the lens of out-of-distribution detection | Azizmalayeri, M. | Institute of Electrical and Electronics Engineers Inc, | 2023 |
Adversarial training.
Attack. Data-centric. Out-of-distribution detection. |
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| 20 | مقاله | Examination of lemon bruising using different CNN-Based classifiers and local spectral-spatial hyperspectral imaging | Pourdarbani, R. | MDPI, | 2023 |
3D-CNN.
Bruise. Classification. Fruit. Hyperspectral imaging. Lemon. Machine learning. Tensor imaging. |
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