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Introduction to Machine Learning
v1v2 (latest)

Introduction to Machine Learning

4 September 2024
Laurent Younes
ArXiv (abs)PDFHTMLGithub

Papers citing "Introduction to Machine Learning"

43 / 43 papers shown
Demand-Driven Asset Reutilization Analytics
Demand-Driven Asset Reutilization Analytics
Abbas Raza Ali
P. J. Lin
82
0
0
28 Dec 2021
Machine Learning for Detecting Data Exfiltration: A Review
Machine Learning for Detecting Data Exfiltration: A ReviewACM Computing Surveys (ACM CSUR), 2020
Bushra Sabir
Faheem Ullah
M. Babar
R. Gaire
AAML
324
42
0
17 Dec 2020
Application of Facial Recognition using Convolutional Neural Networks
  for Entry Access Control
Application of Facial Recognition using Convolutional Neural Networks for Entry Access Control
Lars Lien Ankile
Morgan Feet Heggland
Kjartan Krange
CVBM
144
0
0
23 Nov 2020
Machine Learning and Soil Humidity Sensing: Signal Strength Approach
Machine Learning and Soil Humidity Sensing: Signal Strength Approach
Lea Dujić Rodić
Tomislav Zupanovic
T. Perković
P. Šolić
J. Rodrigues
200
34
0
16 Nov 2020
(Quasi-)Real-Time Inversion of Airborne Time-Domain Electromagnetic Data
  via Artificial Neural Network
(Quasi-)Real-Time Inversion of Airborne Time-Domain Electromagnetic Data via Artificial Neural Network
P. Bai
G. Vignoli
A. Viezzoli
J. Nevalainen
G. Vacca
82
42
0
06 Nov 2020
Quantum-Inspired Classical Algorithm for Principal Component Regression
Quantum-Inspired Classical Algorithm for Principal Component Regression
Daniel T. Chen
Yekun Xu
Betis Baheri
Chuan Bi
Y. Mao
Qiang Quan
Shuai Xu
174
4
0
16 Oct 2020
Hybrid Deep Learning Gaussian Process for Diabetic Retinopathy Diagnosis
  and Uncertainty Quantification
Hybrid Deep Learning Gaussian Process for Diabetic Retinopathy Diagnosis and Uncertainty Quantification
Santiago Toledo-Cortés
Melissa De La Pava
Oscar J. Perdomo
Fabio A. González
BDLMedIm
140
20
0
29 Jul 2020
A Comparison of Optimization Algorithms for Deep Learning
A Comparison of Optimization Algorithms for Deep LearningInternational journal of pattern recognition and artificial intelligence (IJPRAI), 2020
Derya Soydaner
309
190
0
28 Jul 2020
Machine Learning for Exploring Spatial Affordance Patterns
Machine Learning for Exploring Spatial Affordance Patterns
Boyana Buyuklieva
57
1
0
16 May 2020
A machine learning based heuristic to predict the efficacy of online
  sale
A machine learning based heuristic to predict the efficacy of online sale
A. Singhania
S. Mukherjee
Ritajit Majumdar
Akash Mehta
Priyanka Banerjee
Debasmita Bhoumik
75
1
0
10 May 2020
A Review of Vibration-Based Damage Detection in Civil Structures: From
  Traditional Methods to Machine Learning and Deep Learning Applications
A Review of Vibration-Based Damage Detection in Civil Structures: From Traditional Methods to Machine Learning and Deep Learning Applications
Onur Avcı
Osama Abdeljaber
S. Kiranyaz
M. Hussein
Moncef Gabbouj
D. Inman
180
1,124
0
09 Apr 2020
Binary and Multiclass Classifiers based on Multitaper Spectral Features
  for Epilepsy Detection
Binary and Multiclass Classifiers based on Multitaper Spectral Features for Epilepsy DetectionBiomedical Signal Processing and Control (BSPC), 2020
J. T. Oliva
J. Rosa
97
20
0
02 Apr 2020
Hydrological time series forecasting using simple combinations: Big data
  testing and investigations on one-year ahead river flow predictability
Hydrological time series forecasting using simple combinations: Big data testing and investigations on one-year ahead river flow predictability
Georgia Papacharalampous
Hristos Tyralis
AI4TS
103
42
0
02 Jan 2020
Reinforcement Learning-Driven Test Generation for Android GUI
  Applications using Formal Specifications
Reinforcement Learning-Driven Test Generation for Android GUI Applications using Formal Specifications
Yavuz Köroglu
A. Sen
152
14
0
13 Nov 2019
Effects of data ambiguity and cognitive biases on the interpretability
  of machine learning models in humanitarian decision making
Effects of data ambiguity and cognitive biases on the interpretability of machine learning models in humanitarian decision makingAAAI Conference on Artificial Intelligence (AAAI), 2019
D. Paulus
Gerdien de Vries
B. Walle
70
2
0
12 Nov 2019
Techniques for Adversarial Examples Threatening the Safety of Artificial
  Intelligence Based Systems
Techniques for Adversarial Examples Threatening the Safety of Artificial Intelligence Based Systems
Utku Kose
SILMAAML
174
2
0
29 Sep 2019
Bayesian Receiver Operating Characteristic Metric for Linear Classifiers
Bayesian Receiver Operating Characteristic Metric for Linear ClassifiersPattern Recognition Letters (PR), 2019
S. Hassan
H. Huttunen
J. Niemi
Jussi Tohka
99
3
0
23 Aug 2019
The Quantum Version Of Classification Decision Tree Constructing
  Algorithm C5.0
The Quantum Version Of Classification Decision Tree Constructing Algorithm C5.0
K. Khadiev
Ilnaz Mannapov
L. Safina
116
21
0
16 Jul 2019
Predicting Solar Flares Using a Long Short-Term Memory Network
Predicting Solar Flares Using a Long Short-Term Memory NetworkAstrophysical Journal (ApJ), 2019
Hao Liu
Chang Liu
Jinqiao Wang
Haimin Wang
214
142
0
17 May 2019
A review on Neural Turing Machine
A review on Neural Turing Machine
Soroor Malekmohamadi Faradonbe
Faramarz Safi Esfahani
AI4CE
345
6
0
10 Apr 2019
Tackling Initial Centroid of K-Means with Distance Part (DP-KMeans)
Tackling Initial Centroid of K-Means with Distance Part (DP-KMeans)
Ahmad Ilham
Danny Ibrahim
L. Assaffat
A. Solichan
54
4
0
15 Mar 2019
Applications of Machine Learning in Cryptography: A Survey
Applications of Machine Learning in Cryptography: A SurveyInternational Conference on Cryptography, Security and Privacy (ICCSP), 2019
M. Alani
97
46
0
11 Feb 2019
Learning to Solve Large-Scale Security-Constrained Unit Commitment
  Problems
Learning to Solve Large-Scale Security-Constrained Unit Commitment Problems
Á. Xavier
F. Qiu
Shabbir Ahmed
217
165
0
04 Feb 2019
Medical Diagnosis with a Novel SVM-CoDOA Based Hybrid Approach
Medical Diagnosis with a Novel SVM-CoDOA Based Hybrid Approach
M. H. Calp
47
4
0
02 Feb 2019
Predicting wind pressures around circular cylinders using machine
  learning techniques
Predicting wind pressures around circular cylinders using machine learning techniques
G. Hu
K. Kwok
AI4CE
161
134
0
21 Jan 2019
Artificial Intelligence and Machine Learning to Predict and Improve
  Efficiency in Manufacturing Industry
Artificial Intelligence and Machine Learning to Predict and Improve Efficiency in Manufacturing Industry
I. E. Hassani
Choumicha El Mazgualdi
Tawfik Masrour
89
15
0
08 Jan 2019
Supervised Neural Networks for Helioseismic Ring-Diagram Inversions
Supervised Neural Networks for Helioseismic Ring-Diagram Inversions
Rasha Alshehhi
C. Hanson
L. Gizon
S. Hanasoge
40
9
0
06 Jan 2019
Machine learning approaches to understand the influence of urban
  environments on human's physiological response
Machine learning approaches to understand the influence of urban environments on human's physiological response
Varun Ojha
Danielle Griego
S. Kuliga
M. Bielik
Peter Bus
...
Matthias Standfest
S. Schneider
R. König
D. Donath
G. Schmitt
174
55
0
10 Dec 2018
Faster Support Vector Machines
Faster Support Vector Machines
Sebastian Schlag
Matthias Schmitt
Christian Schulz
280
28
0
20 Aug 2018
AEkNN: An AutoEncoder kNN-based classifier with built-in dimensionality
  reduction
AEkNN: An AutoEncoder kNN-based classifier with built-in dimensionality reduction
F. Pulgar
F. Charte
Antonio J. Rivera
M. J. D. Jesus
192
23
0
23 Feb 2018
On singular value distribution of large dimensional data matrices whose
  columns have different correlations
On singular value distribution of large dimensional data matrices whose columns have different correlations
Yanqing Yin
172
3
0
05 Feb 2018
Build a Compact Binary Neural Network through Bit-level Sensitivity and
  Data Pruning
Build a Compact Binary Neural Network through Bit-level Sensitivity and Data Pruning
Yixing Li
Fengbo Ren
MQ
255
12
0
03 Feb 2018
Diagonal RNNs in Symbolic Music Modeling
Diagonal RNNs in Symbolic Music Modeling
Y. C. Subakan
Paris Smaragdis
131
22
0
18 Apr 2017
On the Properties of the Softmax Function with Application in Game
  Theory and Reinforcement Learning
On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning
Bolin Gao
Lacra Pavel
FAtt
458
371
0
03 Apr 2017
Shallow and Deep Networks Intrusion Detection System: A Taxonomy and
  Survey
Shallow and Deep Networks Intrusion Detection System: A Taxonomy and Survey
Elike Hodo
X. Bellekens
Andrew W. Hamilton
Christos Tachtatzis
Robert C. Atkinson
160
248
0
09 Jan 2017
Performance Based Evaluation of Various Machine Learning Classification
  Techniques for Chronic Kidney Disease Diagnosis
Performance Based Evaluation of Various Machine Learning Classification Techniques for Chronic Kidney Disease Diagnosis
Sahil Sharma
Vinod Sharma
Atul Sharma
OOD
130
51
0
28 Jun 2016
Total Variation Applications in Computer Vision
Total Variation Applications in Computer Vision
Vania V. Estrela
Hermes Aguiar Magalhaes
O. Saotome
186
28
0
31 Mar 2016
Detecting Falls with X-Factor Hidden Markov Models
Detecting Falls with X-Factor Hidden Markov ModelsApplied Soft Computing (Appl. Soft Comput.), 2015
Shehroz S. Khan
Michelle Karg
Dana Kulić
Jesse Hoey
197
36
0
08 Apr 2015
Task-Driven Dictionary Learning for Hyperspectral Image Classification
  with Structured Sparsity Constraints
Task-Driven Dictionary Learning for Hyperspectral Image Classification with Structured Sparsity Constraints
Xiaoxia Sun
Nasser M. Nasrabadi
T. Tran
298
62
0
03 Feb 2015
PIN Skimming: Exploiting the Ambient-Light Sensor in Mobile Devices
PIN Skimming: Exploiting the Ambient-Light Sensor in Mobile Devices
Raphael Spreitzer
AAML
198
94
0
15 May 2014
Machine Learning of Phonologically Conditioned Noun Declensions For
  Tamil Morphological Generators
Machine Learning of Phonologically Conditioned Noun Declensions For Tamil Morphological Generators
K. Rajan
Dr. V. Ramalingam
Dr. M. Ganesan
68
3
0
14 Feb 2014
Detecting English Writing Styles For Non-native Speakers
Detecting English Writing Styles For Non-native Speakers
Rami Al-Rfou
116
6
0
02 Nov 2012
Dyna-H: a heuristic planning reinforcement learning algorithm applied to
  role-playing-game strategy decision systems
Dyna-H: a heuristic planning reinforcement learning algorithm applied to role-playing-game strategy decision systems
Matilde Santos
Jos´e Antonio
Victoria L´opez
Guillermo Botella
234
54
0
20 Jan 2011
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