• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 152 matches

• 2025
• 
  Srishti Chauhan, Amol Gupta, T. Velmurugan, Nandakumar S:
  Efficient resource allocation algorithms for multihop D2D approach in 5G network. Int. J. Commun. Syst. 38(1) (2025)
• 
  Muhammad Irzam Liaqat, Shah Nawaz, Muhammad Zaigham Zaheer, Muhammad Saad Saeed, Hassan Sajjad, Tom De Schepper, Karthik Nandakumar, Muhammad Haris Khan, Ignazio Gallo, Markus Schedl:
  Chameleon: A Multimodal Learning Framework Robust to Missing Modalities. Int. J. Multim. Inf. Retr. 14(2): 21 (2025)
• 
  Joseph Geo Benjamin, Mothilal Asokan, Mohammad Yaqub, Karthik Nandakumar:
  FedSECA: Sign Election and Coordinate-wise Aggregation of Gradients for Byzantine Tolerant Federated Learning. CVPR Workshops 2025: 1771-1780
• 
  Raza Imam, Hanan Gani, Muhammad Huzaifa, Karthik Nandakumar:
  Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language Models. WACV 2025: 5449-5459
• 
  Yixuan Gao, Tanvir Ahmed, Zekun Chang, Thijs Roumen, Rajalakshmi Nandakumar:
  VitalHide: Enabling Privacy-Aware Wireless Sensing of Vital Signs. HotMobile 2025: 37-42
• 2024
• 
  Priyanka Gupta, Saandra Nandakumar, Manik Gupta, Ganapati Panda:
  Data programming enabled weak supervised labeling for ECG time series. Biomed. Signal Process. Control. 87(Part A): 105540 (2024)
• 
  S. Ganesh Prabhu, P. Jayarajan, E. Nandakumar:
  Protected and Energy-Efficient E-Healthcare System Based on Internet of Healthcare Services. J. Circuits Syst. Comput. 33(4): 2450060:1-2450060:31 (2024)
• 
  Ria Rashid, Komala Krishna, Clint Pazhayidam George, Nandakumar Nambath:
  Machine learning driven global optimisation framework for analog circuit design. Microelectron. J. 151: 106362 (2024)
• 
  Mubarak G. Abdu-Aguye, Muhammad Zaigham Zaheer, Karthik Nandakumar:
  Feature Map Purification for Enhancing Adversarial Robustness of Deep Timeseries Classifiers. ICDM 2024: 1-10
• 
  Hanan Gani, Nada Saadi, Noor Hussein, Karthik Nandakumar:
  Multi-Attribute Vision Transformers are Efficient and Robust Learners. ICIP 2024: 766-772
• 
  Umair Mujtaba Qureshi, Esther Ka-Man Tong, Zili Val Chen, Chunrao Deng, Gaya Nandakumar:
  A Robust and Secure Framework for an AI-Assisted Academic Writing Platform. ICWL 2024: 235-249
• 
  Mothilal Asokan, Joseph Geo Benjamin, Mohammad Yaqub, Karthik Nandakumar:
  A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation. ISIC/iMIMIC/EARTH/DeCaF@MICCAI 2024: 226-235
• 
  Hanan Gani, Nada Saadi, Noor Hussein, Karthik Nandakumar:
  Multi-Attribute Vision Transformers are Efficient and Robust Learners. CoRR abs/2402.08070 (2024)
• 
  Ria Rashid, Komala Krishna, Clint Pazhayidam George, Nandakumar Nambath:
  Machine Learning Driven Global Optimisation Framework for Analog Circuit Design. CoRR abs/2404.02911 (2024)
• 
  Raza Imam, Hanan Gani, Muhammad Huzaifa, Karthik Nandakumar:
  Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language Models. CoRR abs/2407.15913 (2024)
• 
  Joseph Geo Benjamin, Mothilal Asokan, Amna Alhosani, Hussain Alasmawi, Werner Gerhard Diehl, Leanne Bricker, Karthik Nandakumar, Mohammad Yaqub:
  Leveraging Self-Supervised Learning for Fetal Cardiac Planes Classification using Ultrasound Scan Videos. CoRR abs/2407.21738 (2024)
• 
  Mothilal Asokan, Joseph Geo Benjamin, Mohammad Yaqub, Karthik Nandakumar:
  A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation. CoRR abs/2407.21739 (2024)
• 
  Joseph Geo Benjamin, Mothilal Asokan, Mohammad Yaqub, Karthik Nandakumar:
  FedRISE: Rating Induced Sign Election of Gradients for Byzantine Tolerant Federated Aggregation. CoRR abs/2411.03861 (2024)
• 2023
• 
  R. Nandakumar, P. Saranya, Vijayakumar Ponnusamy, Subhashree Hazra, Antara Gupta:
  Detection of Diabetic Retinopathy from Retinal Images Using DenseNet Models. Comput. Syst. Sci. Eng. 45(1): 279-292 (2023)
• 
  Ria Rashid, Gopavaram Raghunath, Vasant Badugu, Nandakumar Nambath:
  Performance evaluation of evolutionary algorithms for analog integrated circuit design optimisation. Microelectron. J. 141: 105983 (2023)
• 
  Sung Joon Maeng, Özgür Özdemir, H. N. Nandakumar, Ismail Güvenç, Mihail L. Sichitiu, Rudra Dutta, Magreth Mushi:
  Spectrum Activity Monitoring and Analysis for Sub-6 GHz Bands Using a Helikite. COMSNETS 2023: 857-862
• 
  Mubarak G. Abdu-Aguye, Karthik Nandakumar:
  Recurrence-Based Disentanglement for Detecting Adversarial Attacks on Timeseries Classifiers. EUSIPCO 2023: 625-629
• 
  Mubarak G. Abdu-Aguye, Karthik Nandakumar:
  On the Effects of Filtering Methods on Adversarial Timeseries Data. GeoPrivacy@SIGSPATIAL 2023: 5-9
• 
  Gokul Karthik Kumar, Praveen S. V, Pratyush Kumar, Mitesh M. Khapra, Karthik Nandakumar:
  Towards Building Text-to-Speech Systems for the Next Billion Users. ICASSP 2023: 1-5
• 
  Joseph Geo Benjamin, Mothilal Asokan, Amna Alhosani, Hussain Alasmawi, Werner Gerhard Diehl, Leanne Bricker, Karthik Nandakumar, Mohammad Yaqub:
  Leveraging Self-supervised Learning for Fetal Cardiac Planes Classification Using Ultrasound Scan Videos. ASMUS@MICCAI 2023: 68-78
• 
  Nazarii Tupitsa, Abdulla Jasem Almansoori, Yanlin Wu, Martin Takác, Karthik Nandakumar, Samuel Horváth, Eduard Gorbunov:
  Byzantine-Tolerant Methods for Distributed Variational Inequalities. NeurIPS 2023
• 
  Malte J. Rasch, Charles Mackin, Manuel Le Gallo, An Chen, Andrea Fasoli, Frédéric Odermatt, Ning Li, S. R. Nandakumar, Pritish Narayanan, Hsinyu Tsai, Geoffrey W. Burr, Abu Sebastian, Vijay Narayanan:
  Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators. CoRR abs/2302.08469 (2023)
• 
  Ria Rashid, Gopavaram Raghunath, Vasant Badugu, Nandakumar Nambath:
  Performance Evaluation of Evolutionary Algorithms for Analog Integrated Circuit Design Optimisation. CoRR abs/2310.12440 (2023)
• 
  Nazarii Tupitsa, Abdulla Jasem Almansoori, Yanlin Wu, Martin Takác, Karthik Nandakumar, Samuel Horváth, Eduard Gorbunov:
  Byzantine-Tolerant Methods for Distributed Variational Inequalities. CoRR abs/2311.04611 (2023)
• 2022
• 
  Riduan Khaddam-Aljameh, Milos Stanisavljevic, Jordi Fornt Mas, Geethan Karunaratne, Matthias Brändli, Feng Liu, Abhairaj Singh, Silvia M. Müller, Urs Egger, Anastasios Petropoulos, Theodore Antonakopoulos, Kevin Brew, Samuel Choi, Injo Ok, Fee Li Lie, Nicole Saulnier, Victor Chan, Ishtiaq Ahsan, Vijay Narayanan, S. R. Nandakumar, Manuel Le Gallo, Pier Andrea Francese, Abu Sebastian, Evangelos Eleftheriou:
  HERMES-Core - A 1.59-TOPS/mm² PCM on 14-nm CMOS In-Memory Compute Core Using 300-ps/LSB Linearized CCO-Based ADCs. IEEE J. Solid State Circuits 57(4): 1027-1038 (2022)

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