One advantage of our algorithm is that it is not binary in nature. حسب Yong Kuk Kim (13955214)

MCL-FWA-BILSTM binary and multiclass accuracy comparison. حسب Arshad Hashmi (13835488)

Binary classification accuracy and DR comparison on NSL-KDD. حسب Arshad Hashmi (13835488)

MSE for ILSTM algorithm in binary classification. حسب Asmaa Ahmed Awad (16726315)

"…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. …"

Accuracy comparison with existing approaches for Binary Classification with state of art on UNSW-NB15 and NSL-KDD. حسب Arshad Hashmi (13835488)

Accuracy comparison with existing approaches for binary classification with state of art on UNSW-NB15 and NSL-KDD. حسب Arshad Hashmi (13835488)

Comparison of accuracy of MCL-FWA-BILSTM model with existing models for binary classification on UNSW-NB15 and NSL-KDD. حسب Arshad Hashmi (13835488)

Joint Detection of Change Points in Multichannel Single-Molecule Measurements حسب Hugh Wilson (11797444)

الموضوعات:

Supplementary Figure 7 from A Novel Sensitivity Maximization at a Given Specificity Method for Binary Classifications حسب Seyyed Mahmood Ghasemi (20815345)

Detection and Analysis of Nodule in Mammographic images using false positive reduction Detection Technique حسب Dr.E.N. Ganesh (12315038)

"…<p>This article analyzes several methods for reducing false positive results in</p> <p>mammography mass detection. …"

Related studies on IDS using deep learning. حسب Arshad Hashmi (13835488)

"…Further, we compared the suggested approach with other previous machine learning and deep learning models and found it to outperform them in detection rate, FPR, and F-score. For both binary and multiclass classifications, the proposed method reduces false positives while increasing the number of true positives. …"

The architecture of the BI-LSTM model. حسب Arshad Hashmi (13835488)

"…Further, we compared the suggested approach with other previous machine learning and deep learning models and found it to outperform them in detection rate, FPR, and F-score. For both binary and multiclass classifications, the proposed method reduces false positives while increasing the number of true positives. …"

Comparison of accuracy and DR on UNSW-NB15. حسب Arshad Hashmi (13835488)

"…Further, we compared the suggested approach with other previous machine learning and deep learning models and found it to outperform them in detection rate, FPR, and F-score. For both binary and multiclass classifications, the proposed method reduces false positives while increasing the number of true positives. …"

Comparison of DR and FPR of UNSW-NB15. حسب Arshad Hashmi (13835488)

"…Further, we compared the suggested approach with other previous machine learning and deep learning models and found it to outperform them in detection rate, FPR, and F-score. For both binary and multiclass classifications, the proposed method reduces false positives while increasing the number of true positives. …"

State-of-the-art methods for X-ray image classification. Summarised in terms of the classifier, preprocessing, and features extraction used and their performance using the differen... حسب Antonio Quintero-Rincón (21087716)

Comparison of intrusion detection systems. حسب Asmaa Ahmed Awad (16726315)

"…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. …"

AUPRC of the ML models. حسب Adhiraj Nath (17118269)

"…Currently, there are no existing tool that is exclusively designed for insect pre-microRNA detection.</p><p>Aim</p><p>Application of machine learning algorithms to develop an open source tool for prediction of novel precursor microRNA in insects and search for their miRNA targets in the model insect organism, <i>Drosophila melanogaster</i>.…"

Table_2_Automated detection and detection range of primate duets: a case study of the red titi monkey (Plecturocebus discolor) using passive acoustic monitoring.pdf حسب Silvy M. van Kuijk (16881867)

"…We also used a supervised template-based detection algorithm (binary point matching) to evaluate the efficacy of automated detection for titi duets in audio recordings using linear arrays of ARUs within a ~2 km² area. …"

Table_3_Automated detection and detection range of primate duets: a case study of the red titi monkey (Plecturocebus discolor) using passive acoustic monitoring.pdf حسب Silvy M. van Kuijk (16881867)

"…We also used a supervised template-based detection algorithm (binary point matching) to evaluate the efficacy of automated detection for titi duets in audio recordings using linear arrays of ARUs within a ~2 km² area. …"

Table_1_Automated detection and detection range of primate duets: a case study of the red titi monkey (Plecturocebus discolor) using passive acoustic monitoring.pdf حسب Silvy M. van Kuijk (16881867)

"…We also used a supervised template-based detection algorithm (binary point matching) to evaluate the efficacy of automated detection for titi duets in audio recordings using linear arrays of ARUs within a ~2 km² area. …"