Check computer science papers: citations, claims and retractions

Optimizing one million variable NK landscapes by hybridizing deterministic recombination and local search

Chicano, F., Whitley, D., Ochoa, G., & Tinós, R. (2017) · Proceedings of the Genetic and Evolutionary Computation Conference

Metaheuristic Optimization Algorithms ResearchEvolutionary Algorithms and Applications

Cited by 52

Generic factor-based node marginalization and edge sparsification for pose-graph SLAM

Carlevaris-Bianco, N., & Eustice, R. M. (2013) · 2013 IEEE International Conference on Robotics and Automation

Robotics and Sensor-Based LocalizationTarget Tracking and Data Fusion in Sensor Networks

Cited by 52

Can mobile phones help control neglected tropical diseases? Experiences from Tanzania

Madon, S., Amaguru, J. O., Malecela, M. N., & Michael, E. (2014) · Social Science & Medicine

ICT in Developing CommunitiesMobile Health and mHealth Applications

Cited by 52

SUPERB: Speech processing Universal PERformance Benchmark

Yang, S.-W., Chi, P.-H., Chuang, Y.-S., Lai, C.-I. J., Lakhotia, K., Lin, Y. Y., Liu, A. T., Shi, J., Chang, X., Lin, G.-T., et al. (2021) · arXiv

Speech Recognition and SynthesisDomain Adaptation and Few-Shot Learning

Cited by 52

Mutual information-assisted adaptive variational quantum eigensolver

Zhang, Z.-J., Kyaw, T. H., Kottmann, J. S., Degroote, M., & Aspuru-Guzik, A. (2021) · Quantum Science and Technology

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 52

Negative Selection by Clustering for Contrastive Learning in Human Activity Recognition

Wang, J., Zhu, T., Chen, L. L., Ning, H., & Wan, Y. (2023) · IEEE Internet of Things Journal

Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning

Cited by 52

Worth its Weight in Likes: Towards Detecting Fake Likes on Instagram

Sen, I., Aggarwal, A., Mian, S., Singh, S., Kumaraguru, P., & Datta, A. (2018) · Proceedings of the 10th ACM Conference on Web Science

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 52

“A review on techniques, characteristics and approaches of an intelligent tutoring chatbot system,”

Ashfaque, M. W., Tharewal, S., Iqhbal, S., & Kayte, C. N. (2020) · 2020 International Conference on Smart Innovations in Design, Environment, Management, Planning and Computing (ICSIDEMPC)

Intelligent Tutoring Systems and Adaptive LearningSpeech and dialogue systems

Cited by 52

Algorithm-hardware Co-design of Attention Mechanism on FPGA Devices

Zhang, X., Wu, Y., Zhou, P., Tang, X., & Hu, J. (2021) · ACM Transactions on Embedded Computing Systems

Embedded Systems Design TechniquesAdvanced Neural Network Applications

Cited by 52

ExpressGesture: Expressive gesture generation from speech through database matching

Ferstl, Y., Neff, M., & McDonnell, R. (2021) · Computer Animation and Virtual Worlds

Human Motion and AnimationHand Gesture Recognition Systems

Cited by 52

Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small

Wang, K., Variengien, A., Conmy, A., Shlegeris, B., & Steinhardt, J. (2022) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 52

LensGesture: augmenting mobile interactions with back-of-device finger gestures

Xiao, X., Han, T., & Wang, J. (2013) · Proceedings of the 15th ACM on International conference on multimodal interaction

Interactive and Immersive DisplaysHand Gesture Recognition Systems

Cited by 52

Mobility recorded by wearable devices and gold standards: the Mobilise-D procedure for data standardization

Palmerini, L., Reggi, L., Bonci, T., Del Din, S., Micó-Amigo, M. E., Salis, F., Bertuletti, S., Caruso, M., Cereatti, A., Gazit, E., et al. (2023) · Scientific Data

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 52

Neural Networks-Based Cryptography: A Survey

Meraouche, I., Dutta, S., Tan, H., & Sakurai, K. (2021) · IEEE Access

Cryptography and Data SecurityCryptographic Implementations and Security

Cited by 52

Experiential Qualities of Whispering with Voice Assistants

Parviainen, E., & Søndergaard, M. L. J. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionSocial Robot Interaction and HRI

Cited by 52

A Multi-scale Approach to Gesture Detection and Recognition

Neverova, N., Wolf, C., Paci, G., Sommavilla, G., Taylor, G. W., & Nebout, F. (2013) · 2013 IEEE International Conference on Computer Vision Workshops

Hand Gesture Recognition SystemsHuman Pose and Action Recognition

Cited by 52

A general approach for egomotion estimation with omnidirectional images

Vassallo, R. F., Santos-Victor, J., & Schneebeli, H. J. (2003) · Proceedings of the IEEE Workshop on Omnidirectional Vision 2002. Held in conjunction with ECCV'02

Advanced Vision and ImagingRobotics and Sensor-Based Localization

Cited by 52

Handling annotation uncertainty in human activity recognition

Kwon, H., Abowd, G. D., & Plötz, T. (2019) · Proceedings of the 23rd International Symposium on Wearable Computers

Context-Aware Activity Recognition SystemsMobile Crowdsensing and Crowdsourcing

Cited by 52

Depression Detection from Short Utterances via Diverse Smartphones in Natural Environmental Conditions

Huang, Z., Epps, J., Joachim, D., & Chen, M. (2018) · Interspeech 2018

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 52

Hunting for Insider Threats Using LSTM-Based Anomaly Detection

Villarreal-Vasquez, M., Modelo-Howard, G., Dube, S., & Bhargava, B. (2023) · IEEE Transactions on Dependable and Secure Computing

Network Security and Intrusion DetectionAnomaly Detection Techniques and Applications

Cited by 52

Learning Anonymized Representations with Adversarial Neural Networks

Feutry, C., Piantanida, P., Bengio, Y., & Duhamel, P. (2018) · arXiv

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 52

Towards Table-to-Text Generation with Numerical Reasoning

Suadaa, L. H., Kamigaito, H., Funakoshi, K., Okumura, M., & Takamura, H. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 52

Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology

Chen, R. J., & Krishnan, R. G. (2022) · arXiv

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 52

Automatic item generation: foundations and machine learning-based approaches for assessments

Circi, R., Hicks, J., & Sikali, E. (2023) · Frontiers in Education

Educational Technology and AssessmentArtificial Intelligence in Education

Cited by 52