Joseph Early - RankMe

12 papers A* 3A 2Journal 7

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Inherently Interpretable Time Series Classification via Multiple Instance Learning. ICLR Joseph Early, Gavin K. C. Cheung, Kurt Cutajar, Hanting Xie, Jas Kandola, Niall Twomey
2023	A	`conf`	Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations. AAMAS Gregory Everett, Ryan J. Beal, Tim Matthews, Joseph Early, Timothy J. Norman, Sarvapali D. Ramchurn
2023	J	`jnl`	Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations. CoRR Gregory Everett, Ryan J. Beal, Tim Matthews, Joseph Early, Timothy J. Norman, Sarvapali D. Ramchurn
2023	J	`jnl`	Inherently Interpretable Time Series Classification via Multiple Instance Learning. CoRR Joseph Early, Gavin K. C. Cheung, Kurt Cutajar, Hanting Xie, Jas Kandola, Niall Twomey
2022	A*	`conf`	Model Agnostic Interpretability for Multiple Instance Learning. ICLR Joseph Early, Christine Evers, Sarvapali D. Ramchurn
2022	J	`jnl`	Model Agnostic Interpretability for Multiple Instance Learning. CoRR Joseph Early, Christine Evers, Sarvapali D. Ramchurn
2022	A*	`conf`	Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance Learning. NeurIPS Joseph Early, Tom Bewley, Christine Evers, Sarvapali D. Ramchurn
2022	J	`jnl`	Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance Learning. CoRR Joseph Early, Tom Bewley, Christine Evers, Sarvapali D. Ramchurn
2022	A	`conf`	Revisiting Deep Fisher Vectors: Using Fisher Information to Improve Object Classification. BMVC Sarah Ahmed, Tayyaba Azim, Joseph Early, Sarvapali D. Ramchurn
2022	J	`jnl`	Scene-to-Patch Earth Observation: Multiple Instance Learning for Land Cover Classification. CoRR Joseph Early, Ying-Jung Deweese, Christine Evers, Sarvapali D. Ramchurn
2021	J	`jnl`	Non-Asimov Explanations Regulating AI through Transparency. CoRR Chris Reed, Keri Grieman, Joseph Early
2019	J	`jnl`	Reducing catastrophic forgetting when evolving neural networks. CoRR Joseph Early