Papers
MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation
Thomas Searle, Zeljko Kraljevic, Rebecca Bendayan et al.
MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation
Thomas Searle, Zeljko Kraljevic, Rebecca Bendayan et al.
Medical Concept Embedding with Multiple Ontological Representations
Lihong Song, Chin Wang Cheong, Kejing Yin et al.
Medical Concept Representation Learning from Multi-source Data
Tian Bai, Brian L. Egleston, Richard Bleicher et al.
Medical Entity Linking using Triplet Network
Ishani Mondal, Sukannya Purkayastha, Sudeshna Sarkar et al.
Medical Word Embeddings for Spanish: Development and Evaluation
Felipe Soares, Marta Villegas, Aitor Gonzalez-Agirre et al.
MedNorm: A Corpus and Embeddings for Cross-terminology Medical Concept Normalisation
Maksim Belousov, William G. Dixon, Goran Nenadic
Meeting Transcription Using Asynchronous Distant Microphones
Takuya Yoshioka, Dimitrios Dimitriadis, Andreas Stolcke et al.
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding
Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh et al.
Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables
Kunihiro Takeoka, Masafumi Oyamada, Shinji Nakadai et al.
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations
Soujanya Poria, Devamanyu Hazarika, Navonil Majumder et al.
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization
Bryan Wilder, Bistra Dilkina, Milind Tambe
Mel-Frequency Cepstral Coefficients of Voice Source Waveforms for Classification of Phonation Types in Speech
Sudarsana Reddy Kadiri, Paavo Alku
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
Kundan Kumar, Rithesh Kumar, Thibault de Boissiere et al.
Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection
Dong Gong, Lingqiao Liu, Vuong Le et al.
Memory-Attended Recurrent Network for Video Captioning
Wenjie Pei, Jiyuan Zhang, Xiangrong Wang et al.
Memory-Augmented Temporal Dynamic Learning for Action Recognition
Yuan Yuan, Dong Wang, Qi Wang
Memory-Based Neighbourhood Embedding for Visual Recognition
Suichan Li, Dapeng Chen, Bin Liu et al.
Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling
Thomy Phan, Lenz Belzner, Marie Kiermeier et al.
Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference
He Bai, Yu Zhou, Jiajun Zhang et al.
Memory Efficient Adaptive Optimization
Rohan Anil, Vineet Gupta, Tomer Koren et al.
Memory Graph Networks for Explainable Memory-grounded Question Answering
Seungwhan Moon, Pararth Shah, Anuj Kumar et al.
Memory Grounded Conversational Reasoning
Seungwhan Moon, Pararth Shah, Rajen Subba et al.
Memory Grounded Conversational Reasoning
Seungwhan Moon, Pararth Shah, Rajen Subba et al.
Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics
Yunbo Wang, Jianjin Zhang, Hongyu Zhu et al.