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A Comprehensive Study on Machine Learning in Breast Cancer Detection and Classification.

, and . ICAAI, page 81-87. ACM, (2022)

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Calibrating use case points., , and . ICSE Companion, page 612-613. ACM, (2014)Data mining techniques in social media: A survey., , and . Neurocomputing, (2016)Novel cascaded Gaussian mixture model-deep neural network classifier for speaker identification in emotional talking environments., , and . Neural Comput. Appl., 32 (7): 2575-2587 (2020)Comparative Study on the Performance of Heuristic Optimization Techniques in Robotic Path Planning., , , and . ICAAI, page 157-161. ACM, (2019)Predicting Software Effort from Use Case Points: A Systematic Review., , and . CoRR, (2020)Maximizing embedding capacity for speech steganography: a segment-growing approach., , , and . Multim. Tools Appl., 80 (16): 24469-24490 (2021)Breast cancer detection using artificial intelligence techniques: A systematic literature review., , , , and . CoRR, (2022)Emotional Speaker Identification using a Novel Capsule Nets Model., , , , , and . CoRR, (2022)Novel Task-Based Unification and Adaptation (TUA) Transfer Learning Approach for Bilingual Emotional Speech Data., , , and . Inf., 14 (4): 236 (April 2023)Empirical Comparison between Deep and Classical Classifiers for Speaker Verification in Emotional Talking Environments., , , , and . Inf., 13 (10): 456 (2022)