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1In Depth Review on Nanogel and its Applications
P. Barge. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 7 (2): 940-946 (April 2023)
a year ago by @ijtsrd
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Micromolecules;
Nanogel;
Therapy;
Anticancer
classification
Micromolecules;Nanogel;Therapy;Anticancerclassification
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9SMOTE: Synthetic Minority Over-sampling Technique
N. Chawla, K. Bowyer, L. Hall, and W. Kegelmeyer. Journal of Artificial Intelligence Research, (2002)
3 years ago by @sdo
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smote
imbalanced
machine
learning
classification
smoteimbalancedmachinelearningclassification
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7EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
M. Tan, and Q. Le. (2019)cite arxiv:1905.11946Comment: Published in ICML 2019.
5 years ago by @nmatsuk
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code
arch
backbone
mobilenet
classification
codearchbackbonemobilenetclassification
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1Automation of Medical Waste Separation using Advanced Technologies to Minimize its Impact on Environment
R. Chan. International Journal of Trend in Scientific Research and Development, (November 2019)
5 years ago by @ijtsrd
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Chain
Networks
codes
wastes.
waste
Classification
Occupational
Medical
Feedforward
health
Waste
Hazardous
ChainNetworkscodeswastes.wasteClassificationOccupationalMedicalFeedforwardhealthWasteHazardous
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1A Review on Wireless Sensor Network
R. Sandhiya. International Journal of Trend in Scientific Research and Development, 2 (5): 2169-2172 (August 2018)
6 years ago by @ijtsrd
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Networks
Threats
Wireless
Protocols
tasking
tracking
network
networks
Computers
classification
querying
Security
Network
and
sensor
wireless
Sensor
NetworksThreatsWirelessProtocolstaskingtrackingnetworknetworksComputersclassificationqueryingSecurityNetworkandsensorwirelessSensor
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1Review Paper of Image processing technique for the diagnosis of diseases
K. Gaikwad. International Journal of Trend in Scientific Research and Development, 2 (2): 1451-1455 (February 2018)
6 years ago by @ijtsrd
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Engineering
image
medical
disease
&
diagnosis
Electronics
informatics
Communication
classification
Engineeringimagemedicaldisease&diagnosisElectronicsinformaticsCommunicationclassification
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1Voice Activity Detection and Pitch analysis in Pathological Voices
M. Udayashankara. International Journal of Trend in Scientific Research and Development, 1 (5): 423-428 (August 2017)
6 years ago by @ijtsrd
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pathology
detection
mechanical&
activity
Biotechnology
Pitch
classification
Engineering
detectio
and
detection.
Voice
Biomedical
pathologydetectionmechanical&activityBiotechnologyPitchclassificationEngineeringdetectioanddetection.VoiceBiomedical
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1Predictive Analytics for High Business Performance through Effective Marketing
S. Deshmukh. International Journal of Trend in Scientific Research and Development, 2 (2): 380-382 (February 2018)
6 years ago by @ijtsrd
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(CRM)
Smote
Clustering
Customer
K-means
Segmentation
customer's
Regression
Management
sTargeting
Machine
Engineering
Logistic
Learning
Classification
Relationship
Computer
algorithm
(CRM)SmoteClusteringCustomerK-meansSegmentationcustomer'sRegressionManagementsTargetingMachineEngineeringLogisticLearningClassificationRelationshipComputeralgorithm
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3Semi-supervised Sequence Learning
A. Dai, and Q. Le. (2015)cite arxiv:1511.01432.
7 years ago by @daschloer
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sequence
semi-supervised
text
classification
sequencesemi-supervisedtextclassification
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13Support Vector Networks
C. Cortes, and V. Vapnik. Machine Learning, (1995)
9 years ago by @nosebrain
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margin
svm
vector
support
soft
classification
marginsvmvectorsupportsoftclassification
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2HMM profiles for network traffic classification.
C. Wright, F. Monrose, and G. Masson. VizSEC, page 9-15. ACM, (2004)
9 years ago by @nosebrain
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models
hidden
network
markov
classification
modelshiddennetworkmarkovclassification
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1A Run-time Detection System for Malicious URLs in Twitter
H. Nannaware, T. Dhangar, A. Dhanrao, and P. Badgujar. International Journal on Recent and Innovation Trends in Computing and Communication, 3 (1): 144--147 (January 2015)
9 years ago by @ijritcc
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Twitter
suspicious
redirection
spam
classification
URL
TwittersuspiciousredirectionspamclassificationURL
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1Text classification using machine learning techniques.
M. Ikonomakis, S. Kotsiantis, and V. Tampakas. WSEAS Transactions on Computers, 4 (8): 966--974 (2005)
10 years ago by @becker
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humanities
genre
digital
classification
humanitiesgenredigitalclassification
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1EMG Diagnosis using Neural Network Classifier with Time Domain and AR Features
D. Er. Gurmanik Kaur, and D. Jain. International Journal on Electrical and Power Engineering, 1 (3): 5 (December 2010)
12 years ago by @ideseditor
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Electromyography
neural_networks
classification
Electromyographyneural_networksclassification
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2Is cross-validation better than resubstitution for ranking genes?
U. Braga-Neto, R. Hashimoto, E. Dougherty, D. Nguyen, and R. Carroll. Bioinformatics, (January 2004)
14 years ago by @vivion
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genetics
high-dimensional
gene
discriminant-analysis
discriminant
high-dimensional-data
discrimination
classification
geneticshigh-dimensionalgenediscriminant-analysisdiscriminanthigh-dimensional-datadiscriminationclassification
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1Gene expression correlates of clinical prostate cancer behavior
D. Singh, P. Febbo, K. Ross, D. Jackson, J. Manola, C. Ladd, P. Tamayo, A. Renshaw, A. D'Amico, and J. Richie. Cancer Cell, 1 (2): 203--209 (2002)
14 years ago by @vivion
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genetics
high-dimensional
gene
discriminant-analysis
discriminant
high-dimensional-data
discrimination
classification
geneticshigh-dimensionalgenediscriminant-analysisdiscriminanthigh-dimensional-datadiscriminationclassification
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3A Conditional Random Field for Multiple-Instance Learning
T. Deselaers, and V. Ferrari. ICML, (June 2010)
14 years ago by @ipi_jn
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Learning
ConditionalRandomField
FeatureSelection
classification
Optimization
LearningConditionalRandomFieldFeatureSelectionclassificationOptimization
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3Adapting associative classification to text categorization.
B. Li, N. Sugandh, E. Garcia, and A. Ram. ACM Symposium on Document Engineering, page 205-208. ACM, (2007)
15 years ago by @atzmueller
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venus
mining
text
rules
classification
venusminingtextrulesclassification
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1Feature engineering for mobile (SMS) spam filtering
G. Cormack, José, and E. Sánz. SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, page 871--872. New York, NY, USA, ACM, (2007)
16 years ago by @jamesh
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spam
textcateg
short_document
classification
spamtextcategshort_documentclassification
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1Spam filtering for short messages
G. Cormack, José, and E. Sánz. CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management, page 313--320. New York, NY, USA, ACM, (2007)
16 years ago by @jamesh
show all tags
spam
textcateg
short_document
classification
spamtextcategshort_documentclassification
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publications (hide)31
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1In Depth Review on Nanogel and its Applications

9SMOTE: Synthetic Minority Over-sampling Technique

7EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

1Automation of Medical Waste Separation using Advanced Technologies to Minimize its Impact on Environment

1A Review on Wireless Sensor Network

1Review Paper of Image processing technique for the diagnosis of diseases

1Voice Activity Detection and Pitch analysis in Pathological Voices

1Predictive Analytics for High Business Performance through Effective Marketing

3Semi-supervised Sequence Learning

13Support Vector Networks

2HMM profiles for network traffic classification.

1A Run-time Detection System for Malicious URLs in Twitter

1Text classification using machine learning techniques.

1EMG Diagnosis using Neural Network Classifier with Time Domain and AR Features

2Is cross-validation better than resubstitution for ranking genes?

1Gene expression correlates of clinical prostate cancer behavior

3A Conditional Random Field for Multiple-Instance Learning

3Adapting associative classification to text categorization.

1Feature engineering for mobile (SMS) spam filtering

1Spam filtering for short messages

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publications (hide)31
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