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Accelerated Sequence Design of Star Block Copolymers: An Unbiased Exploration Strategy via Fusion of Molecular Dynamics Simulations and Machine Learning
https://doi.org/10.1021/acs.jpcb.3c08110
Hypergraph partitioning using tensor eigenvalue decomposition
https://doi.org/10.1371/journal.pone.0288457
MultiCens: Multilayer network centrality measures to uncover molecular mediators of tissue-tissue communication
https://doi.org/10.1371/journal.pcbi.1011022
AI and Data Science Centers in Top Indian Academic Institutions
https://doi.org/10.1145/3556634
TOMBoost: a topic modeling based boosting approach for learning with class imbalance
https://doi.org/10.1007/s41060-022-00363-8
Integration of machine learning and first principles models
[https://doi.org/10.1002/aic.17715]
On Combining Bags to Better Learn from Label Proportions
https://research.google/pubs/pub51096/
Inductive Bias of Gradient Descent for Weight Normalized Smooth Homogeneous Neural Nets
https://proceedings.mlr.press/v167/morwani22a.html
An Enhanced Advising Model in Teacher-Student framework using State Categorization
https://ojs.aaai.org/index.php/AAAI/article/view/16823
Aided Selection of Sampling Methods for Imbalanced Data Classification
https://doi.org/10.1145/3430984.3431029
Consistent plug-in classifiers for complex objectives and constraints
https://proceedings.neurips.cc//paper/2020/file/eab1bceaa6c5823d7ed86cfc7a8bd824-Paper.pdf
Inductive Bias of Gradient Descent for Exponentially Weight Normalized Smooth Homogeneous Neural Nets
https://arxiv.org/abs/2010.12909
Hypergraph Clustering by Iteratively Reweighted Modularity Maximization
https://doi.org/10.1007/s41109-020-00300-3
HPRA: Hyperedge Prediction using Resource Allocation
https://doi.org/10.1145/3394231.3397903
Machine Learning Applications for Mass Spectrometry-Based Metabolomics
https://doi.org/10.3390/metabo10060243
Dyvedeep: Dynamic variable effort deep neural networks
https://doi.org/10.1145/3372882
Conducting non-adaptive experiments in a live setting: a Bayesian approach to determining optimal sample size
https://doi.org/10.1115/1.4045603
Ablation-CAM: Visual Explanations for Deep Convolutional Network via Gradient-free Localization
https://doi.org/10.1109/WACV45572.2020.9093360
PlotQA: Reasoning over Scientific Plots
https://doi.org/10.1109/WACV45572.2020.9093523
Comparison of first trimester dating methods for gestational age estimation and their implication on preterm birth classification in a North Indian cohort
https://doi.org/10.1101/2019.12.27.19016006
Novel ratio-metric features enable the identification of new driver genes across cancer types
https://doi.org/10.1101/2020.01.17.910075
EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks
https://arxiv.org/abs/2004.10162
Interpretability With Accurate Small Models
https://doi.org/10.3389/frai.2020.00003
Predicting software defect type using concept-based classification
https://doi.org/10.1007/s10664-019-09779-6
Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks
https://doi.org/10.1109/IV47402.2020.9304822
Graph Convolutional Network with Sequential Attention for Goal-Oriented Dialogue Systems
https://doi.org/10.1162/tacl_a_00284
A New Measure of Modularity in Hypergraphs: Theoretical Insights and Implications for Effective Clustering
https://doi.org/10.1007/978-3-030-36687-2_24
Extra: Transfer-guided exploration
https://dl.acm.org/doi/10.5555/3398761.3399050
Rate of Change Analysis for Interestingness Measures
https://doi.org/10.1007/s10115-019-01352-3
Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning
https://doi.org/10.1007/s00138-018-01001-9
Pack and Detect: Fast Object Detection in Videos Using Region-of-Interest Packing
https://doi.org/10.1145/3297001.3297020
On Controllable Sparse Alternatives to Softmax
https://arxiv.org/abs/1810.11975
Consistent algorithms for multiclass classification with a reject option
https://arxiv.org/abs/1505.04137
Network-based features enable prediction of essential genes across diverse organisms
https://doi.org/10.1371/journal.pone.0208722
Dynamic Action Repetition for Deep Reinforcement Learning
https://dl.acm.org/doi/10.5555/3298483.3298547
An autoencoder approach to learning bilingual word representations
https://dl.acm.org/doi/10.5555/2969033.2969034