Deep Learning Archives - CITRIS and the Banatao Institute

Ian Holmes

Professor, Computational Biology and Bioengineering
UC Berkeley

Engineering, Basecalling, Bayesian Approaches, Bioinformatics, Biostatistics, Collaborative Data Analysis, Computational Biology, Computational Genomics, Deep Learning, Evolutionary Linguistics, Genome Annotation, Genome Evolutionary Histories, Genomic Data Analysis, Genomics, In-browser Ai, Indels, Javascript, Machine Learning, Metagenomics, Molecular Evolution, Nanopore Sequencing, Phylogenetic Reconstruction, Phylogenetics, Protein Design, Protein Structure Prediction, Rna Biology, Sequence Analysis, Statistical Linguistics, Synthetic Biology, Systems Biology, User Interface Design, Web Development

Han Zou

Postdoctoral Scholar, Electrical Engineering and Computer Sciences (EECS)
UC Berkeley

Engineering, Machine Learning, Ambient Intelligence, Artificial Intelligence, Behavioral Analytics, Context-aware Services, Deep Learning, Edge Computing, Human Activity Recognition, Indoor Localization, Internet Of Things, Iot, Location Intelligence, Machine Learning, Mobile Computing, Multimodal Sensor Fusion, Pervasive Computing, Rf Sensing, Sensor Networks, Signal Processing, Smart Buildings, Smart Environments, Spatial Computing, Transfer Learning, Ubiquitous Computing, Wireless Sensing

Premkumar Devanbu

Distinguished Professor Emeritus, Computer Science
UC Davis

Engineering, Software Engineering, Binaries, Bug-fix Data, Code De-obfuscation, Code Review, Code Suggestion, Cognitive Science, Collaboration, Comment Synthesis, Continuous Integration, Data Bias, Deep Learning, Defect Finding, Developer Beliefs, Empirical Software Engineering, Encoder-decoder Models, Error Correction, Evidence-based Software Engineering, Gender In Software Teams, Github, Human Factors, Language Modeling, Linguistics, Machine Learning, Multi-tasking, Natural Language Processing, Naturalness Of Software, Nlp, Open-source Data, Patch Synthesis, Predictability, Program Comprehension, Pull Requests, Reverse Engineering, Social Factors, Social Networks, Software Engineering, Software Productivity, Software Quality, Source Code, Syntax Error Repair

Professor Avideh Zakhor

Professor, Electrical Engineering and Computer Sciences (EECS)
UC Berkeley

Engineering, Robotics And Imaging Systems, 3d Immersive Content Creation, And Control, And Multimodal Sensors, Automated Segmentation And Area Assessment Of Invasive Melanoma, Autonomy And Obstacle Avoidance, Barcode Detection And Decoding In High-resolution Images, Deep Learning, Legged Locomotion Of Hexapods, Lidar, Misinformation Detection In Multimodal Data, Path Planning, Perception, Physical Inspection Of Buildings, Recognition-aware Image Compression, Small Object Detection In Ultra-high-resolution Images, Temporal Graphical Neural Networks For Covid-19 Prediction, Unmanned Aerial Vehicles (uavs), Unsupervised Learning For Video, Wifi Proximity Detection For Covid-19 Contact Tracing