Transient-optimized real-bogus classification with Bayesian convolutional neural networks - sifting the GOTO candidate stream

Using Background Knowledge to Construct Bayesian Classifiers for Data--Poor Domains

Gerven, M.A.J. van
Lucas, P.J.F.

January 2004

Contains fulltext : 60376.pdf (preprint version ) (Open Access

Classifying Fake News Articles Using Machine Learning Techniques

Srilatha, Doddi
Rao, Dustakar Prasanth
Nikhil, Chukka
Teja, Janumpally Sai

October 2021

News is important in daily life as it informs our view to the world and in response, we take actions...

Malware Binary Image Classification Using Convolutional Neural Networks

Kiger, John
Ho, Shen-Shyang
Heydari, Vahid

March 2022

The persistent shortage of cybersecurity professionals combined with enterprise networks tasked with...

Transient-optimized real-bogus classification with Bayesian convolutional neural networks - sifting the GOTO candidate stream

TL Killestein (7750010)
J Lyman (7793585)
D Steeghs (7749098)
K Ackley (7787705)
MJ Dyer (7719746)
K Ulaczyk (7720058)
R Cutter (7787708)
Y-L Mong (9595952)
DK Galloway (8529096)
V Dhillon (7787693)
P O'Brien (7678940)
G Ramsay (7787699)
S Poshyachinda (7787696)
R Kotak (8529129)
RP Breton (9595916)
LK Nuttall (7792247)
E Palle (7678034)
D Pollacco (7705574)
E Thrane (7787702)
S Aukkaravittayapun (9595919)
S Awiphan (9595922)
U Burhanudin (9595925)
P Chote (7749953)
A Chrimes (9985583)
E Daw (9595928)
C Duffy (7736573)
R Eyles-Ferris (10129412)
B Gompertz (7749254)
T Heikkila (9595931)
P Irawati (9595934)
MR Kennedy (9595937)
A Levan (7660652)
S Littlefair (7750025)
L Makrygianni (9595943)
D Mata Sanchez (9595946)
S Mattila (8529141)
J Maund (7674566)
J McCormac (7705511)
D Mkrtichian (9595949)
J Mullaney (9595955)
E Rol (7613681)
U Sawangwit (7753436)
E Stanway (9985580)
R Starling (7678967)
PA Strom (9595964)
S Tooke (9595967)
K Wiersema (7629395)
SC Williams (7753139)

March 2021

Large-scale sky surveys have played a transformative role in our understanding of astrophysical tran...

Transient-optimised real-bogus classification with Bayesian Convolutional Neural Networks -- sifting the GOTO candidate stream

Killestein, T.L.
Lyman, J.
Steeghs, D.
Ackley, K.
Dyer, M.J.
Ulaczyk, K.
Cutter, R.
Mong, Y.-L.
Galloway, D.K.
Dhillon, V.
O'Brien, P.
Ramsay, G.
Poshyachinda, S.
Kotak, R.
Breton, R.P.
Nuttall, L.K.
Pallé, E.
Pollacco, D.
Thrane, E.
Aukkaravittayapun, S.
Awiphan, S.
Burhanudin, U.
Chote, P.
Chrimes, A.
Daw, E.
Duffy, C.
Eyles-Ferris, R.
Gompertz, B.
Heikkilä, T.
Irawati, P.
Kennedy, M.R.
Levan, A.
Littlefair, S.
Makrygianni, L.
Sánchez, D.M.
Mattila, S.
Maund, J.
McCormac, J.
Mkrtichian, D.
Mullaney, J.
Rol, E.
Sawangwit, U.
Stanway, E.
Starling, R.
Strøm, P.A.
Tooke, S.
Wiersema, K.
Williams, S.C.

Large-scale sky surveys have played a transformative role in our understanding of astrophysical tran...

Transient-optimised real-bogus classiﬁcation with Bayesian Convolutional Neural Networks — sifting the GOTO candidate stream

Killestein, T.
Lyman, J. D.
Steeghs, D.
Ackley, K.
Dyer, M. J.
Ulaczyk, Krzysztof
Cutter, Ryan J.
Mong, Y -L.
Galloway, D. K.
Dhillon, V.
O'Brien, P.
Ramsay, G.
Poshyachinda, S.
Kotak, R.
Breton, R. P.
Nuttall, L. K.
Pallé, E.
Pollacco, Don
Thrane, E.
Aukkaravittayapun, S.
Awiphan, S.
Burhanudin, U.
Chote, Paul
Chrimes, A.
Daw, E.
Duffy, C.
Eyles-Ferris, R.
Gompertz, Benjamin P.
Heikkilä, T.
Irawati, P.
Kennedy, M. R.
Levan, Andrew J.
Littlefair, S.
Makrygianni, L.
Mata Sánchez, D.
Mattila, S.
Maund, J.
McCormac, J. J.
Mkrtichian, D.
Mullaney, J.
Rol, E.
Sawangwit, U.
Stanway, Elizabeth R.
Starling, R.
Strøm, Paul A.
Tooke, S.
Wiersema, Klaas
Williams, S. C.

June 2021

Large-scale sky surveys have played a transformative role in our understanding of astrophysical tran...

Dataset for the Real/Bogus classifier in the Tomo-e Gozen transient survey

Takahashi, Ichiro
Hamasaki, Ryo
Ueda, Naonori
Tanaka, Masaomi
Tominaga, Nozomu
Sako, Shigeyuki
Ohsawa, Ryou
Yoshida, Naoki

June 2022

This is a subset of the dataset used in the following paper: Ichiro Takahashi, Ryo Hamasaki, Naonori...

Convolutional neural networks for transient candidate vetting in large-scale surveys

Gieseke, F.
Bloemen, S.
Bogaard, C. van den
Heskes, T.
Kindler, J.
Scalzo, R.A.
Ribeiro, V.A.R.M.
Roestel, J. van
Groot, P.J.
Yuan, F.
Möller, A.
Tucker, B.E.

January 2017

Contains fulltext : 178442.pdf (Publisher’s version ) (Open Access

Robust full Bayesian learning for neural networks

Doucet, A.
Andrieu, C.
Freitas, J. de
Cambridge Univ. (United Kingdom). Dept. of Engineering

January 1999

Draft versionSIGLEAvailable from British Library Document Supply Centre-DSC:9106.170(CUED/F-INFENG/T...

O'TRAIN: A robust and flexible `real or bogus' classifier for the study of the optical transient sky

Makhlouf, K.
Turpin, D.
Corre, D.
Karpov, S.
Kann, D. A.
Klotz, A.

January 2022

International audienceContext. Scientific interest in studying high-energy transient phenomena in th...

O’TRAIN: A robust and flexible ‘real or bogus’ classifier for the study of the optical transient sky

Makhlouf, K.
Turpin, D.
Corre, D.
Karpov, S.
Kann, D.A.
Klotz, A.

August 2022

This is an Open Access article, published by EDP Sciences, under the terms of the Creative Commons A...

Robustness evaluation of convolutional neural networks for malware classification

Carletti V.
Greco A.
Saggese A.
Vento M.

January 2021

In a world increasingly connected with smart devices, smartphones, tablets and servers in constant c...

Improved detection of transient events in wide area sky survey using convolutional neural networks

Liu, Jing Jing
Boongoen, Tossapon
Iam-On, Natthakan

February 2023

The aim of data science is to catch up with the data-intensive life style as well as the demand for ...

FAKE NEWS DETECTION AND CLASSIFICATION BASED ON LOGISTIC REGRESSION (LR) AND ARTIFICIAL NEURAL NETWORKS (ANN)

Sourabh* & Rahul Kaushik**

June 2023

Fake news detection has emerged as a crucial challenge in today's digital age, where misinformation ...

MODEL AND TRAINING ALGORITHM OF MALWARE TRAFFIC DETECTOR BASED ON MODIFICATION OF GROWING NEURAL GAS

В’ячеслав Васильович Москаленко
Альона Сергіївна Москаленко
Микола Олександрович Зарецький

October 2018

It is proposed the model of the hierarchical convolutional extractor of malware traffic features. Im...

Using Background Knowledge to Construct Bayesian Classifiers for Data--Poor Domains

Gerven, M.A.J. van
Lucas, P.J.F.

January 2004

Contains fulltext : 60376.pdf (preprint version ) (Open Access

Classifying Fake News Articles Using Machine Learning Techniques

Srilatha, Doddi
Rao, Dustakar Prasanth
Nikhil, Chukka
Teja, Janumpally Sai

October 2021

News is important in daily life as it informs our view to the world and in response, we take actions...

Malware Binary Image Classification Using Convolutional Neural Networks

Kiger, John
Ho, Shen-Shyang
Heydari, Vahid

March 2022

The persistent shortage of cybersecurity professionals combined with enterprise networks tasked with...

Transient-optimized real-bogus classification with Bayesian convolutional neural networks - sifting the GOTO candidate stream

TL Killestein (7750010)
J Lyman (7793585)
D Steeghs (7749098)
K Ackley (7787705)
MJ Dyer (7719746)
K Ulaczyk (7720058)
R Cutter (7787708)
Y-L Mong (9595952)
DK Galloway (8529096)
V Dhillon (7787693)
P O'Brien (7678940)
G Ramsay (7787699)
S Poshyachinda (7787696)
R Kotak (8529129)
RP Breton (9595916)
LK Nuttall (7792247)
E Palle (7678034)
D Pollacco (7705574)
E Thrane (7787702)
S Aukkaravittayapun (9595919)
S Awiphan (9595922)
U Burhanudin (9595925)
P Chote (7749953)
A Chrimes (9985583)
E Daw (9595928)
C Duffy (7736573)
R Eyles-Ferris (10129412)
B Gompertz (7749254)
T Heikkila (9595931)
P Irawati (9595934)
MR Kennedy (9595937)
A Levan (7660652)
S Littlefair (7750025)
L Makrygianni (9595943)
D Mata Sanchez (9595946)
S Mattila (8529141)
J Maund (7674566)
J McCormac (7705511)
D Mkrtichian (9595949)
J Mullaney (9595955)
E Rol (7613681)
U Sawangwit (7753436)
E Stanway (9985580)
R Starling (7678967)
PA Strom (9595964)
S Tooke (9595967)
K Wiersema (7629395)
SC Williams (7753139)

March 2021

Large-scale sky surveys have played a transformative role in our understanding of astrophysical tran...

Transient-optimised real-bogus classification with Bayesian Convolutional Neural Networks -- sifting the GOTO candidate stream

Killestein, T.L.
Lyman, J.
Steeghs, D.
Ackley, K.
Dyer, M.J.
Ulaczyk, K.
Cutter, R.
Mong, Y.-L.
Galloway, D.K.
Dhillon, V.
O'Brien, P.
Ramsay, G.
Poshyachinda, S.
Kotak, R.
Breton, R.P.
Nuttall, L.K.
Pallé, E.
Pollacco, D.
Thrane, E.
Aukkaravittayapun, S.
Awiphan, S.
Burhanudin, U.
Chote, P.
Chrimes, A.
Daw, E.
Duffy, C.
Eyles-Ferris, R.
Gompertz, B.
Heikkilä, T.
Irawati, P.
Kennedy, M.R.
Levan, A.
Littlefair, S.
Makrygianni, L.
Sánchez, D.M.
Mattila, S.
Maund, J.
McCormac, J.
Mkrtichian, D.
Mullaney, J.
Rol, E.
Sawangwit, U.
Stanway, E.
Starling, R.
Strøm, P.A.
Tooke, S.
Wiersema, K.
Williams, S.C.

Large-scale sky surveys have played a transformative role in our understanding of astrophysical tran...

Transient-optimised real-bogus classiﬁcation with Bayesian Convolutional Neural Networks — sifting the GOTO candidate stream

Killestein, T.
Lyman, J. D.
Steeghs, D.
Ackley, K.
Dyer, M. J.
Ulaczyk, Krzysztof
Cutter, Ryan J.
Mong, Y -L.
Galloway, D. K.
Dhillon, V.
O'Brien, P.
Ramsay, G.
Poshyachinda, S.
Kotak, R.
Breton, R. P.
Nuttall, L. K.
Pallé, E.
Pollacco, Don
Thrane, E.
Aukkaravittayapun, S.
Awiphan, S.
Burhanudin, U.
Chote, Paul
Chrimes, A.
Daw, E.
Duffy, C.
Eyles-Ferris, R.
Gompertz, Benjamin P.
Heikkilä, T.
Irawati, P.
Kennedy, M. R.
Levan, Andrew J.
Littlefair, S.
Makrygianni, L.
Mata Sánchez, D.
Mattila, S.
Maund, J.
McCormac, J. J.
Mkrtichian, D.
Mullaney, J.
Rol, E.
Sawangwit, U.
Stanway, Elizabeth R.
Starling, R.
Strøm, Paul A.
Tooke, S.
Wiersema, Klaas
Williams, S. C.

June 2021

Large-scale sky surveys have played a transformative role in our understanding of astrophysical tran...

Dataset for the Real/Bogus classifier in the Tomo-e Gozen transient survey

Takahashi, Ichiro
Hamasaki, Ryo
Ueda, Naonori
Tanaka, Masaomi
Tominaga, Nozomu
Sako, Shigeyuki
Ohsawa, Ryou
Yoshida, Naoki

June 2022

This is a subset of the dataset used in the following paper: Ichiro Takahashi, Ryo Hamasaki, Naonori...

Convolutional neural networks for transient candidate vetting in large-scale surveys

Gieseke, F.
Bloemen, S.
Bogaard, C. van den
Heskes, T.
Kindler, J.
Scalzo, R.A.
Ribeiro, V.A.R.M.
Roestel, J. van
Groot, P.J.
Yuan, F.
Möller, A.
Tucker, B.E.

January 2017

Contains fulltext : 178442.pdf (Publisher’s version ) (Open Access

Robust full Bayesian learning for neural networks

Doucet, A.
Andrieu, C.
Freitas, J. de
Cambridge Univ. (United Kingdom). Dept. of Engineering

January 1999

Draft versionSIGLEAvailable from British Library Document Supply Centre-DSC:9106.170(CUED/F-INFENG/T...

O'TRAIN: A robust and flexible `real or bogus' classifier for the study of the optical transient sky

Makhlouf, K.
Turpin, D.
Corre, D.
Karpov, S.
Kann, D. A.
Klotz, A.

January 2022

International audienceContext. Scientific interest in studying high-energy transient phenomena in th...

O’TRAIN: A robust and flexible ‘real or bogus’ classifier for the study of the optical transient sky

Makhlouf, K.
Turpin, D.
Corre, D.
Karpov, S.
Kann, D.A.
Klotz, A.

August 2022

This is an Open Access article, published by EDP Sciences, under the terms of the Creative Commons A...

Robustness evaluation of convolutional neural networks for malware classification

Carletti V.
Greco A.
Saggese A.
Vento M.

January 2021

In a world increasingly connected with smart devices, smartphones, tablets and servers in constant c...

Improved detection of transient events in wide area sky survey using convolutional neural networks

Liu, Jing Jing
Boongoen, Tossapon
Iam-On, Natthakan

February 2023

The aim of data science is to catch up with the data-intensive life style as well as the demand for ...

FAKE NEWS DETECTION AND CLASSIFICATION BASED ON LOGISTIC REGRESSION (LR) AND ARTIFICIAL NEURAL NETWORKS (ANN)

Sourabh* & Rahul Kaushik**

June 2023

Fake news detection has emerged as a crucial challenge in today's digital age, where misinformation ...

MODEL AND TRAINING ALGORITHM OF MALWARE TRAFFIC DETECTOR BASED ON MODIFICATION OF GROWING NEURAL GAS

В’ячеслав Васильович Москаленко
Альона Сергіївна Москаленко
Микола Олександрович Зарецький

October 2018

It is proposed the model of the hierarchical convolutional extractor of malware traffic features. Im...

Using Background Knowledge to Construct Bayesian Classifiers for Data--Poor Domains

Gerven, M.A.J. van
Lucas, P.J.F.

January 2004

Contains fulltext : 60376.pdf (preprint version ) (Open Access

Classifying Fake News Articles Using Machine Learning Techniques

Srilatha, Doddi
Rao, Dustakar Prasanth
Nikhil, Chukka
Teja, Janumpally Sai

October 2021

News is important in daily life as it informs our view to the world and in response, we take actions...

Malware Binary Image Classification Using Convolutional Neural Networks

Kiger, John
Ho, Shen-Shyang
Heydari, Vahid

March 2022

The persistent shortage of cybersecurity professionals combined with enterprise networks tasked with...

Transient-optimized real-bogus classification with Bayesian convolutional neural networks - sifting the GOTO candidate stream

Abstract

Extracted data

Transient-optimized real-bogus classification with Bayesian convolutional neural networks - sifting the GOTO candidate stream

Abstract

Extracted data

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