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Melting Point Prediction Employing k -Nearest Neighbor Algorithms and Genetic Parameter Optimization

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Bcl∷ChemInfo - Qualitative analysis of machine learning models for activation of HSD involved in Alzheimer's Disease

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Prediction of Attention Deficit Hyperactivity Disorder (ADHD) using machine learning Techniques based on classification of EEG signal

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A hybrid algorithm of minimum spanning tree and nearest neighbor for classifying human cancers

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Entropy virus microscopy images recognition via neural network classifiers

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Contrast virus microscopy images recognition via k-NN classifiers

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The Study of Various Emotionally-sounding Classification using KNN, Bayesian, Neural Network Methods

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Personal Credit Rating System Based on the Logistic Regression Method

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Solving TSP based on Multi-Segment Multi-Orientation Nearest Neighbor algorithm

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Multiple Sources Classification of Gene Position on Chromosomes Using Statistical Significance of Individual Classification Results

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Scalable collaborative filtering based on efficient identification of similar users

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Blind steganalytic attack as pattern recognition, using ROC for distance calculation in k-Nearest neighbour Classification Technique

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A New Method for Tracing by Using Corner Detecting and k-Nearest Neighbor

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A comparative study of k-NN and hazard-based models for incident duration prediction

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Robust Time-of-Flight-based Material Imaging using Three-Dimensional Deep Neural Networks on Spatial Neighborhoods of Pixels

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On the Usability of Electroencephalographic Signals for Biometric Recognition: A Survey

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Machine Learning in Nano-Scale Biomedical Engineering

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Hydrophobicity versus electrophilicity: A new protocol toward quantitative structure–toxicity relationship

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Multi‐scale learning for fine‐grained traffic flow‐based travel time estimation prediction

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Study of CXCR4 chemokine receptor inhibitors using QSPR and molecular docking methodologies

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Cluster Expansion Analysis of Atomic Order in Li-Ion Battery Cathode Material LiCo y Ni 1−y O 2

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Evaluation of machine learning algorithms in the early detection of Parkinson's disease: a comparative study

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Decision Support System and Web-Application Using Supervised Machine Learning Algorithms for Easy Cancer Classifications

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Artificial Intelligence and Machine Learning in Pathology: The Present Landscape of Supervised Methods

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Simultaneous feature selection and parameter optimisation using an artificial ant colony: case study of melting point prediction

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Defining a novel k-nearest neighbours approach to assess the applicability domain of a QSAR model for reliable predictions

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IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifier

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The development of models to predict melting and pyrolysis point data associated with several hundred thousand compounds mined from PATENTS

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Exploring non-linear distance metrics in the structure–activity space: QSAR models for human estrogen receptor

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Review of Data Mining Methods with Applications for Rehabilitation Engineering, Human Factors, and Diagnostics

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Physicochemical Properties of Bosentan and Selected PDE-5 Inhibitors in the Design of Drugs for Rare Diseases

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Mechanisms classification for glycoside hydrolases by sequence and structure features using computational methods

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In vitro models for processes involved in intestinal absorption

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View-Based Object Recognition Using ND Tensor Supervised Neighborhood Embedding

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Avaliação do desempenho de classificadores em metalografia quantitativa

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PERFORMANCE EVALUATION OF MACHINE LEARNING ALGORITHMS IN ECOLOGICAL DATASET

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Identification of the Pilot as Part of the Crew Using Speech Spectral Transfer Function

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A New Criteria for Determining the Best Decomposition Level and Filter in Wavelet-based Data-driven Forecasting Frameworks- Validating Using Three Case studies on The CAMELS Dataset

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Real-time crash prediction using in-vehicle cameras and GPS sensors: An exploration through deep and machine learning techniques

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A Study on the Design of Coastal Fairway Width Based on a Risk Assessment Model in Korean Waterways

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Performance Predictions of Sci-Fi Films via Machine Learning

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Principles of Machine Learning and Its Application to Thermal Barrier Coatings

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A Novel Nonparametric Distance Estimator for Densities with Error Bounds

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Recent Advances in Machine-Learning-Based Chemoinformatics: A Comprehensive Review

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A Novel Approach to Decision-Making on Diagnosing Oncological Diseases Using Machine Learning Classifiers Based on Datasets Combining Known and/or New Generated Features of a Different Nature

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Modeling Physico-Chemical ADMET Endpoints with Multitask Graph Convolutional Networks

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Computer-Aided Drug Design and Drug Discovery: A Prospective Analysis

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Two-Stage Hybrid Data Classifiers Based on SVM and kNN Algorithms

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An urgent precaution system to detect students at risk of substance abuse through classification algorithms

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Predicting S-nitrosylation proteins and sites by fusing multiple features.

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Machine Learning Models to Classify and Predict Depression in College Students

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Outlier Detection in Linear Regression

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Informatics, Machine Learning and Computational Medicinal Chemistry

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Ecological Data Analysis Based on Machine Learning Algorithms

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User-based collaborative filtering approach for content recommendation in OpenCourseWare platforms

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Performance Evaluation of SVM and K-Nearest Neighbor Algorithm over Medical Data set

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Offline Handwritten Devanagari Vowels Recognition using KNN Classifier

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An Improved Comparison of Chemometric Analyses for the Identification of Acids and Bases With Colorimetric Sensor Arrays

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Deep Learning model based on CNN using Keras and TensorFlow to determine real time melting point of chemical substances

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Three machine learning models for the 2019 Solubility Challenge

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Thermooxidative Properties of Biodiesels and Other Biological Fuels

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Additional file 1 of IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifier

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The research on chinese text multi-label classification

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