Monthly Archives: October 2021

Semantic Change Detection with Gaussian Word Embeddings

To tackle the problem of lexical semantic change, KocLab has developed the first Gaussian word embedding (w2g)-based approach, which has been described in the paper “Semantic Change Detection with Gaussian Word Embeddings” published at IEEE Transactions on Audio, Speech and Language Processing. The proposed method reached high rankings (including the first rank at one of […]

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Multi-Label Sentiment Analysis on 100 Languages with Dynamic Weighting for Label Imbalance

The work of Dr. Koç and his collaborators on sentiment analysis has been published in IEEE Transactions on Neural Networks and Learning Systems. The paper entitled “Multi-Label Sentiment Analysis on 100 Languages with Dynamic Weighting for Label Imbalance” proposes a novel method to overcome the inherent label imbalance problem in multi-label classification by balancing losses […]

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Operator Theory-based Computation of Linear Canonical Transforms

The paper entitled “Operator Theory-based Computation of Linear Canonical Transforms” published in Signal Processing by Dr. Koç and his collaborators applied the operator theory to the computation of linear canonical transforms. By exploiting hyperdifferential operators and through a systematic investigation of possible parameters and design choices, the proposed algorithm achieves a discrete linear canonical transform […]

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UMRAM/ASBAM Fall 2021 Seminars: “Towards Solving the Hard Problem of Consciousness: The Varieties of Brain Resonances and the Conscious Experiences that they Support”

Prof. Stephen Grossberg Boston University   Date/Time: Tuesday, October 26th, 5:30 pm Zoom Meeting ID: 917 6288 9212 (Passcode: 896970) https://zoom.us/j/91762889212?pwd=bDhvaG5sQTQxQVpuZnE5MHhKRDFtQT09   About the Speaker: Stephen Grossberg is Wang Professor of Cognitive and Neural Systems; Professor Emeritus of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering; and Director of the Center for Adaptive Systems […]

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