Computer Science · 6 topic areas
Research gaps in Computer Science
1,825 open research questions in Computer Science, extracted from the limitations, future-work and other gap-stating passages of thousands of papers in our local library and grouped by the kind of gap they represent. Pick a topic below to browse unanswered questions — each links back to the papers that raised them.
Browse Computer Science gaps by topic
Featured gap analyses in Computer Science
- Large language models often produce impressive outputsAlthough large language models often produce impressive outputs, it remains unclear how they perform in real-world scenarios requiring strong reasonin…
- The framework requires exploration of explainable AITechniques to improve model interpretability for clinical deployment.
- The reasons underlying the sex differencesAlthough the reasons underlying the sex differences in the performance of athletic maneuvers are not fully understood, evidence suggests that differen…
- Most parent training programs have been developedHowever, most parent training programs have been developed for parents of children aged 12 and under; very little is known about the use of parent tra…
- The limited dataset size may lead to undersampling,Which can negatively affect the model’s performance. Detection difficulties in a wider range of emotions from texts. Struggles to detect a wider range…
- Background: National electronic health record (EHR)Networks can support learning health systems (LHSs) by enabling large-scale data aggregation, monitoring, and benchmarking, but their capacity to prod…
- First, the effectiveness of the models in classifyingEmotions from FER2013, RAB-DB, and CK+ datasets was evaluated by a 5-fold cross-validation method, which showed that the accuracy varied widely among …
- CONCLUSION AND FUTURE SCOPE This review has arguedThat predictive performance alone is insufficient for high-stakes financial fraud detection: a deployable system must also be feature interpretable, a…
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